Find AI Work That Works for You

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Location 📍: Sydney, Australia (Hybrid - 3 days per week in office required)About Us 🚀At Relevance AI, our mission is to empower anyone to delegate work to the AI workforce.We’re building a new type of automation platform, for anyone to create and use AI agents that can replicate human quality work, decision making and collaboration.We are scaling fast to meet unprecedented customer demand and we need exceptional talent to help us grow. If you’re ready to be part of a trailblazing company at the cutting edge of AI, this is the place for you.The Role 🥳We are expanding our Product team in Sydney and hiring an exceptional Technical Product Manager with a focus on enterprise-scale customers. As an early hire, this is a high-impact, high-ownership role where you'll lead the development and delivery of enterprise-grade AI solutions as we continue to scale quickly.You’ll be accountable for being the product manager of key parts of the Relevance platform for large-scale customers such as SSO, RBAC, access logs, analytics, and private cloud deployments that require deep technical knowledge. You will be responsible for communicating product roadmap, strategy, and specifications. You’ll be the key liaison between our technical teams and forward-thinking large scale enterprise clients, ensuring their complex needs are met with precision and technical depth.Your impact💥Own and drive product development for the enterprise segment of our platform, ensuring high-quality execution of enterprise features such as access controls, security protocols, and private cloud deployments.Collaborate closely with engineers, designers, sales, and implementations to deliver scalable, reliable solutions tailored to enterprise needs.Build strong rapport and lead research efforts with enterprise customers to deeply understand their technical environments, workflows, and business priorities.Translate complex technical concepts into clear communication for both internal teams and external stakeholders.Set high standards for product quality and reliability, balancing innovation with the demands of enterprise-grade stability.Team Leader and mentor, spearheading a culture of AI dogfooding in our product team.What We’re Looking For 🧠Proven experience as a product manager, ideally 2+ years experience working directly with enterprise-scale customers on technical cloud-based products.Strong technical acumen with prior experience in engineering, DevOps, or related fields to influence engineering teams and enable you to speak the language of enterprise IT and infrastructure.Deep understanding of enterprise security concepts such as SAML, SSO, role-based access control, encryption, and private cloud deployments.Passionate about AI, agents and enterprise automation - you are excited to work closely with our customers to solve real enterprise problems.Demonstrated ability to build strong relationships and rapport with enterprise stakeholders, navigating complex sales and implementation cycles.Exceptional project management skills with a track record of driving cross-functional teams to deliver high-quality solutions on time.Comfortable working in a fast-paced, high-growth startup environment with a hands-on, resourceful, and independent approach.Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterate extremely fast, and building memories.We’ve set high standards in our high-trust, low-ego environment. We hire exceptional people to do the best work of their lives. In return, we reward our people with competitive salaries, equity stake, unparalleled professional growth, and career-defining opportunities.Relevance AI is well-funded by leading investors, including Bessemer Venture Partners, Insights Partners, Peak XV, and King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits ✨🌴 4 Weeks Annual Leave – Take time to recharge with 20 days of paid vacation📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – We offer 12 weeks of paid parental leave for all eligible new parents, and an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍱 Team Meals – Enjoy free Friday lunches, Uber Eats dinners, and regular catered office lunches🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. A few clubs we already have are hiking, chess, and board game nights. We also have a social committee you can join—new ideas are always welcome!🍿 Snacks & Drinks Galore – Stay energised with a wide selection of snacks and a fully stocked fridge of drinks in the office🌐 Community Events – As the home of the AI workforce, we regularly host events featuring thought leaders, industry partners, and the wider community—right at our office, so you can join straight after work🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance Program

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About Ema: Ema is at the forefront of artificial intelligence research and application, dedicated to creating cutting-edge AI solutions that empower users globally. Join our dynamic team to help shape the future of AI technology.Responsibilities:Create Enterprise AI Model Evaluation Test Sets: Develop and maintain comprehensive test sets tailored for various enterprise use cases.Evaluate AI Models: Assess different versions, personas, and prompts of Ema on multiple quality parameters. Ensure new features and updates meet established standards before launch.Generate AI Evaluation Reports: Compile detailed evaluation reports that provide insights for improving persona setups and Ema's AI models.Test UX Flows: Evaluate the efficacy and usability of auxiliary user experience flows to ensure seamless end-to-end GenAI usage for Ema’s users.Automate Testing Flows: Develop and implement scripts and browser automation tools to streamline testing processes. Enhance testing velocity and early issue detection to improve overall product quality.Requirements:Educational Background: Bachelor’s degree required. Degrees in engineering, linguistics, or psychology preferred.Communication Skills: Strong verbal and written English communication skills are essential.Professional Experience: 1-3 years of prior professional experience. Experience in content creation, QA testing, prompt engineering, or editing is preferred.Benefits:Stay at the cutting edge of GenAI research, guided and coached by top researchers in the field.Learn best practices for solving user problems with GenAI products.Collaborate across cross-functional teams to effectively achieve customer impact.Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

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We are hiring for a Senior Agent Engineer to build sophisticated AI agents with our customers to solve real world problems at the edge of AI capabilities. On a daily basis, you will work directly alongside customer teams co-owning the agent development process from prototypes to production. You will also be our tip-of-the-spear contributing learnings from the real world implementations back to the LangChain product and engineering teams.Key Responsibilities:Partner directly with enterprise customers to co-architect and co-build next-generation AI agents and applications, working shoulder-to-shoulder from design and architecture through production deployment.Lead technical design sessions to scope, align on implementation approach and ensure customers adopt sound architectural choices for performance and reliability.Partner with sales and pre-sales engineering to define implementation strategies for customers, accelerating the value customers can derive from our platform.Synthesize customer feedback and identify friction points to inform the product roadmap, collaborating with product and engineering teams to improve the user experience.Stay current on emerging AI trends and translate them into actionable solutions and technical guidance as applicable to customers.What We're Looking For:7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, your welcome to apply1+ year of hands-on agent engineering experience with deep Python or TypeScript skills, preferably using LangGraphExceptional written and oral communication skills with the ability to explain complex technical concepts to developers and non-technical stakeholders.Experience working directly with customers to define scope, clarify requirements, and prioritize implementation steps that deliver the greatest value firstStrong judgement and able to operate independently while keeping customers and others updated on progressA bias for action: thrives in ambiguity, moves fast, and can juggle multiple complex projects.Bonus points for experience in enterprise environments and cloud-based systems using technologies like Kubernetes and Docker.Location: San Francisco or New York.Comp: $160K-$200K

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About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe, and the U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.   About the Role The Business Analysis Manager (Partnership) will lead and elevate Appier’s BA function from a tactical, campaign-support unit into a strategic partner for both commercial and product teams. You will act as a trusted advisor to Campaign Managers, guiding them on inventory utilization. You will also be responsible for building inventory insights that empower BD, Product, and CM teams to make better decisions, and lead BA Team to proactively anticipate demand momentum and collaborate with AdCloud Product (PM) and AI teams, positioning BA as a valued partner in shaping Appier’s future product roadmap.   Responsibilities Demand Operation & Forecasting Lead and mentor the BA team to establish strategic frameworks for evaluating campaign and inventory health, ensuring BA provides early-warning signals and strategic insights for leadership. Design and institutionalize mechanisms that give full visibility into current and future campaign demand, enabling long-term supply planning and resource allocation. Proactively translate demand momentum (regions, ad formats, specific publishers) into strategic supply forecasts that shape commercial and product priorities. Cross-Functional Product Engagement Engage with Appier AdCloud Product Managers and AI scientists to understand roadmap priorities and problem statements. Provide inventory insights, campaign patterns, and data-driven signals to influence product design and AI model development. Present forward-looking recommendations to leadership, influencing both commercial strategy and product roadmap. Inventory Partner Engagement Leverage SSP partner data to extract market benchmarks (e.g., eCPM, CTR, publisher performance) and generate insights that guide BD negotiations and product innovation.. Shape traffic allocation strategies in partnership with SSPs to optimize both partner yield and Appier performance. Empower Partnership BD to engage with inventory partners with AdTech and campaign operational findings Provide thought leadership on campaign and inventory dynamics to influence long-term product direction. Team Leadership Build a culture of consultative support, ensuring BA provides Campaign Management Team with the right inventory insights at the right timing. Develop BA Team as the source of truth on inventory dynamics, supply quality, and campaign-to-supply fit. Foster knowledge-sharing and tool development (dashboards, monitoring systems) to scale BA impact across teams.   About You Essential 6+ years of experience in data/business analysis, supply management, or digital advertising; 2+ years in team leadership. Strong analytical/statistical background; skilled at turning data into clear, actionable insights. Experience in programmatic advertising, RTB, or campaign optimization support. Excellent communication and presentation skills; able to influence CM, BD, and Product stakeholders. Proven ability to drive analytics tooling and dashboard initiatives, ensuring stakeholders (CM, BD, Product) gain consistent, actionable visibility into inventory dynamics. Comfortable operating at both tactical (daily monitoring) and strategic (product advisory) levels. Fluent in English; additional language skills (Mandarin, Korean, Japanese) are a plus. Nice to Have Proficiency in SQL, Tableau, or similar analytics/visualization tools. Familiarity with AI/ML-driven ad platforms or SaaS product development. Experience working with cross-functional product/engineering teams.   #L1-RL

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Location: 📍Sydney (Hybrid - 3 days in the office)About Us 🚀At Relevance AI, our mission is to empower anyone to delegate work to the AI workforce.We’re building a new type of automation platform, for anyone to create and use AI agents that can replicate human-quality work, decision-making and collaboration.We are scaling fast to meet unprecedented customer demand, and we need exceptional talent to help us grow. We are a founder-led company backed by world-class investors like Bessemer Venture Partners, Insight Partners, Peak XV and Galileo Ventures, with teams in Sydney and San Francisco.This is a chance to join at a pivotal stage and shape the future of AI with us.The Role 🥳We’re looking for our first Business, Strategy & Operations Lead to work directly with our founders on the highest impact priorities. This role blends strategy, finance, and execution in a fast-scaling AI startup. You’ll solve ambiguous problems, shape new market entry, and drive operational excellence thriving in ambiguity and a bias toward action.Your Impact 💥Develop and execute strategies that unlock high-impact opportunities and global market expansion.Conduct market and competitive analysis to design go-to-market strategies.Build financial models, forecasts, and scenario analyses to guide executive and board decisions.Rapidly scope, structure, and solve cross-functional business challenges.Identify bottlenecks, propose improvements, and scale processes sustainably.Lead special projects ranging from new market plays, partnership initiatives, operational improvements, or founder-priority strategic bets. What We’re Looking For 🧠2–5 years’ experience in Big 3 consulting (McKinsey, Bain, BCG)Strong structured problem-solving skills and a clear communication style.Excellent financial and analytical acumen, with the ability to build detailed models as well as produce fast, directional modelling to support decisions.Bias for action, high ownership, and comfort operating as a generalist.STEM/Legal/Maths degree preferred.Prior experience in tech or startups is highly valued.Genuine deep interest in AI and eagerness to learn the agent ecosystem quickly. Why Join Us? 🌟Work side-by-side with founders on company-defining projects.Blend of strategy, finance, and hands-on execution.Opportunity to grow into a Chief of Staff or functional head track for the right candidate.We're guided by our five values: truth-seeking, be empathetic, put the customer first, iterate extremely fast, and build memories.We’ve set high standards in our high-trust environment—we hire exceptional people to do great work. In return, we reward our people with competitive salaries, unparalleled professional growth and career-defining opportunities.Relevance AI is well-funded by leading investors, including Bessemer Venture Partners, Insights Partners, Peak XV, King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits ✨🌴 4 Weeks Annual Leave – Take time to recharge with 20 days of paid vacation📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – We offer 12 weeks of paid parental leave for all eligible new parents, and an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍱 Team Meals – Enjoy free Friday lunches, Uber Eats dinners, and regular catered office lunches🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. A few clubs we already have are hiking, chess, and board game nights. We also have a social committee you can join—new ideas are always welcome!🍿 Snacks & Drinks Galore – Stay energised with a wide selection of snacks and a fully stocked fridge of drinks in the office🌐 Community Events – As the home of the AI workforce, we regularly host events featuring thought leaders, industry partners, and the wider community—right at our office, so you can join straight after work🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance Program

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We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco,San Jose, or Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. What You’ll DoArchitect, deploy, and manage Kubernetes clusters across AWS, OCI, and on-prem datacenters.Build and maintain automation for cluster lifecycle management, upgrades, and scaling.Own the reliability, performance, and security of Kubernetes workloads.Implement observability, logging, and alerting for clusters and critical workloads.Partner with developers to design scalable, cloud-native services and CI/CD pipelines.Define and enforce best practices for resource usage, networking, and RBAC.Lead incident response, root cause analysis, and post-mortems for cluster-related issues.Mentor junior engineers and contribute to internal platform engineering standards.You5+ years of experience in Platform, Infrastructure, or SRE roles.Expert knowledge of Kubernetes internals and operational practices.Proven experience running Kubernetes clusters in production at scale.Strong skills with Helm, Kustomize, or similar deployment tooling.Solid understanding of networking, service meshes, and container runtimes.Proficiency in infrastructure-as-code (Terraform, Pulumi, etc.). Experience with observability stacks (Prometheus, Grafana, ELK, OpenTelemetry).Familiarity with security best practices (network policies, secrets management, image scanning).Strong coding skills in Go, Python, or similar for automation.Comfort with GitOps workflows and CI/CD integration.Excellent problem-solving skills and ability to operate in complex environments.Nice to HaveExperience with multi-cluster, multi-cloud, or hybrid environments.Knowledge of GPU scheduling, HPC workloads, or ML/AI infrastructure.Exposure to cost optimization and capacity planning for large clusters.Contributions to CNCF or Kubernetes open-source projects.Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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About Articul8 AIAt Articul8 AI, we’re building enterprise-grade Generative AI platforms that drive real-world transformation. We fuse deep technical rigor with a relentless mission to empower industries and communities through the responsible use of AI.Our team thrives at the intersection of innovation and impact. We’re not just writing code—we’re creating the infrastructure for a new AI-native future. If you believe that software is still being rewritten by AI, and you're excited to lead that evolution, we want to talk to you.Why This Role MattersWe’re seeking a hands-on Software Engineering Manager who is passionate about building world-class user interfaces as they are about pushing the boundaries of what’s possible with AI. You will responsibly guide a small, high-performing team to deliver intuitive, secure, and modern web applications for our generative AI platform that will the primary touchpoint for our customers.But more than just a strong frontend engineering leader, we’re looking for someone with a 100x impact. This role is ideal for a leader who enjoys coding and architecture as much as mentoring and managing. What You’ll DoHands-On Technical ContributionWrite clean, scalable, and performant code using React, TypeScript, and modern UI frameworks.Review code, drive architecture discussions, and help resolve complex technical challenges.Contribute directly to building reusable UI components, design systems, and interactive GenAI experiences.Leadership & Team GrowthLead and mentor a team of frontend engineers, balancing technical contributions with people management.Foster a culture of collaboration, accountability, and technical excellence.Partner with Product and Design to translate vision into concrete engineering deliverables.Technical DirectionDefine the frontend engineering roadmap and set technical best practices (testing, CI/CD, accessibility, performance).Guide adoption of modern developer tooling (e.g., Replit, Vite, Webpack, GraphQL/REST APIs) to increase velocity.Stay current with emerging frontend/GenAI technologies and evaluate their fit for the platform.Operational ExcellenceEnsure reliable, secure, and enterprise-ready deployments of frontend applications.Drive metrics for code quality, performance, and user satisfaction.Champion accessibility, responsive design, and usability across devices.Embrace experimentation—prototype rapidly, fail fast, and iterate with purpose.Be hands-on in high-impact deployments and customer environments.What We’re Looking For (Required qualifications) Experience6-10 years of professional software engineering experience.2+ years of experience leading or mentoring engineers, ideally in a player-coach capacity.Technical ExpertiseStrong hands-on coding experience with React, TypeScript, JavaScript (ES6+), CSS-in-JS.Familiarity with modern frontend tooling and dev environments (e.g., Replit, Vite, Webpack, Jest, Cypress).Experience building and maintaining design systems and reusable UI components.Strong understanding of secure, scalable SaaS frontend development.Leadership SkillsAbility to lead by example — contributing code while setting high engineering standards.Skilled at mentoring engineers, conducting code/design reviews, and guiding technical decisions.Strong cross-functional collaboration with Product, Design, and Backend teams.Bonus SkillsExperience with GenAI applications, LLM-based products, or ML-driven UI.Exposure to multi-tenant SaaS, branding/skinning, or enterprise UX requirementsWhat Sets Us ApartAI-Native Culture: We believe the future belongs to engineers who understand how to do more with less—and we actively support using AI tools to unlock exponential productivity.Mission-Driven Impact: We focus on real-world applications of AI that solve meaningful problems across industries.Freedom to Experiment: We encourage rapid prototyping, creative exploration, and a growth mindset at every level.Flexibility & Trust: Work from where you do your best work, with the autonomy to own outcomes—not hours.Exceptional Teammates: Join a community of world-class engineers who challenge and support each other.Join UsIf you're a builder at heart, fluent in backend systems and AI tools alike—and driven by the desire to multiply your impact—we'd love to hear from you!

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About Articul8 AIAt Articul8, we build enterprise-grade Generative AI solutions that help global organizations unlock new value from their data. Our platform is trusted by some of the world's most innovative companies, and we partner closely with customers to design, deploy, and scale AI solutions that deliver measurable impact.As a fast-moving startup, we move with urgency and focus. Every team member has real ownership, and the work you do here directly shapes our platform and our customers' success. If you thrive in an environment where innovation happens daily and impact is visible, Articul8 is the place to do the best work of your career.Role OverviewWe are seeking a Senior Solution Architect with 10+ years of experience to join our Customer Success team. In this comprehensive role, you will guide customers through their entire AI journey - from initial solution architecture and technical discovery in pre-sales to hands-on implementation and optimization post-sale. This position requires both strategic thinking to articulate the value of our platform and technical depth to ensure successful deployment in complex enterprise environments.Key ResponsibilitiesSolution Design: Deeply understand customer business challenges, mapping them to technical solutions and crafting compelling AI prototypes on the Articul8 platform that address real business objectives.Customer Enablement: Lead technical workshops, hackathons, and training sessions to help customers envision AI transformation and empower their teams for ongoing success.Cross-Functional Collaboration: Work seamlessly with Sales, Product, and Engineering teams to position the platform and deliver best-fit solutions.Platform Deployment: Oversee installation, configuration, and scaling of the Articul8 platform in customer environments, ensuring high standards of security, reliability, and performance.Custom Engineering: Develop and implement tailored workflow solutions to meet unique customer needs and requirements.Infrastructure Optimization: Architect and tune Kubernetes-based environments on AWS, Azure, GCP, and on-premises for infrastructure excellence.Ongoing Training: Deliver enablement workshops and documentation to support long-term customer autonomy and expansion.Continuous Improvement: Monitor and refine deployments for cost-effectiveness, performance scalability, and resilience.Customer Advocacy: Gather feedback and relay it to Product and Engineering, influencing roadmap and product enhancements based on actual customer needs.Required Qualifications10+ years in solution architecture, technical implementation, or enterprise software delivery, with a proven track record of engaging and advising executive and technical leadership.Advanced proficiency in Kubernetes orchestration, cloud platforms (AWS, Azure, GCP), microservices, and containerization.Strong foundation in modern programming languages such as Python, Node.js, or Go with hands-on software engineering experience.Deep understanding of enterprise integration patterns, RESTful APIs, and GraphQL.Demonstrated skill in building effective prototypes, demos, and production-ready deployments.Exceptional ability to communicate complex technical concepts clearly to both executive and engineering audiences, with strong presentation and documentation skills.Expertise in generative AI building blocks and at least one specialization in AI/ML pipelines, API design, data engineering, vector/graph databases, or AI model orchestration.Willingness and ability to travel for customer workshops, deployments, and support as necessary.Our Culture MattersAt Articul8, culture isn't just words — it's how we show up for each other and our customers:Practice humility – Listen first, respect all voices, and recognize that great solutions are built together.Bias for outcomes – Focus on impact, not just effort; deliver meaningful results that matter to our customers.Care deeply – About customers, teammates, and the quality of our deliverables. Act as Customer 0 for our products and tools.Dare to do the impossible & embrace scarcity – Push boundaries with creativity and resourcefulness.Build a better world – Use our technology and platform to create solutions that benefit not just enterprises, but society at large.What We OfferJoining Articul8 means stepping into a startup environment where every contribution matters and outcomes move the company forward. It's an "all in" culture — not about long hours, but about shared commitment, ownership, and impact.The opportunity to architect and implement cutting-edge Generative AI for leading global enterprises.A culture of curiosity and technical excellence, where you'll continuously learn and grow.High ownership of solutions — your work goes live, impacts customers directly, and informs the product roadmap.A collaborative team that values diversity, inclusion, and creativity, supporting both personal and professional development.Equity and ownership opportunities in a category-defining company.The chance to build reference architectures and deployments that will shape enterprise AI adoption at scale.If you're ready to join a team that's moving fast, thinking big, and helping customers succeed with Generative AI from initial vision through production deployment, we'd love to hear from you.

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About ElicitElicit is an AI research assistant that uses language models to help professional researchers and high-stakes decision makers break down hard questions, gather evidence from scientific/academic sources, and reason through uncertainty.What we're aiming for:Elicit radically increases the amount of good reasoning in the world.For experts, Elicit pushes the frontier forward.For non-experts, Elicit makes good reasoning more accessible. People who don't have the tools, expertise, time, or mental energy to make carefully-reasoned decisions on their own can do so with Elicit.Elicit is a scalable ML system based on human-understandable task decompositions, with supervision of process, not outcomes. This expands our collective understanding of safe AGI architectures.Visit our Twitter to learn more about how Elicit is helping researchers and making progress on our mission.Why we're hiring for this roleTwo main reasons:Currently, Elicit operates over academic papers and clinical trials. One of your key initial responsibilities will be to build a complete corpus of these documents, available as soon as they're published, combining different data sources and ingestion methods. Once that's done there is a growing list of other document types and sources we'd love to integrate!One of our main initiatives is to broaden the sorts of tasks you can complete in Elicit. We need a data engineer to figure out the best way to ingest massive amounts of heterogeneous data in such a way as to make it usable by LLMs. We need your help to integrate into our customers' custom data providers to that they can create task-specific workflows over them.In general, we're looking for someone who can architect and implement robust, scalable solutions to handle our growing data needs while maintaining high performance and data quality.Our tech stackData pipeline: Python, Flyte, SparkProbably less relevant to you, but ICOI:Backend: Node and Python, event sourcingFrontend: Next.js, TypeScript, and TailwindWe like static type checking in Python and TypeScript!All infrastructure runs in Kubernetes across a couple of cloudsWe use GitHub for code reviews and CIWe deploy using the gitops pattern (i.e. deploys are defined and tracked by diffs in our k8s manifests)Am I a good fit?Consider the questions:How would you optimize a Spark job that's processing a large amount of data but running slowly?What are the differences between RDD, DataFrame, and Dataset in Spark? When would you use each?How does data partitioning work in distributed systems, and why is it important?How would you implement a data pipeline to handle regular updates from multiple academic paper sources, ensuring efficient deduplication?If you have a solid answer for these—without reference to documentation—then we should chat!Location and travelWe have a lovely office in Oakland, CA; there are people there every day but we don't all work from there all the time. It's important to us to spend time with our teammates, however, so we ask that all Elicians spend about 1 week out of every 6 with teammates.We wrote up more details on this page.What you'll bring to the role5+ years of experience as a data engineer: owning make-or-break decisions about how to ingest, manage, and use dataStrong proficiency in Python (5+ years experience)You have created and owned a data platform at rapidly-growing startups—gathering needs from colleagues, planning an architecture, deploying the infrastructure, and implementing the toolingExperience with architecting and optimizing large data pipelines, ideally with particular experience with Spark; ideally these are pipelines which directly support user-facing features (rather than internal BI, for example)Strong SQL skills, including understanding of aggregation functions, window functions, UDFs, self-joins, partitioning, and clustering approachesExperience with columnar data storage formats like ParquetStrong opinions, weakly-held about approaches to data quality managementCreative and user-centric problem-solvingYou should be excited to play a key role in shipping new features to users—not just building out a data platform!Nice to HaveExperience in developing deduplication processes for large datasetsHands-on experience with full-text extraction and processing from various document formats (PDF, HTML, XML, etc.)Familiarity with machine learning concepts and their application in search technologiesExperience with distributed computing frameworks beyond Spark (e.g., Dask, Ray)Experience in science and academia: familiarity with academic publications, and the ability to accurately model the needs of our usersHands-on experience with industry standard tools like Airflow, DBT, or HadoopHands-on experience with standard paradigms like data lake, data warehouse, or lakehouseWhat you'll doYou'll own:Building and optimizing our academic research paper pipelineYou'll architect and implement robust, scalable systems to handle data ingestion while maintaining high performance and quality.You'll work on efficiently deduplicating hundreds of millions of research papers, and calculating embeddings.Your goal will be to make Elicit the most complete and up-to-date database of scholarly sources.Expanding the datasets Elicit works overOur users want Elicit to work over court documents, SEC filings, … your job will be to figure out how to ingest and index a rapidly increasing ontology of documents.We also want to support less structured documents, spreadsheets, presentations, all the way up to rich media like audio and video.Larger customers often want for us to integrate private data into Elicit for their organisation to use. We'll look to you to define and build a secure, reliable, fast, and auditable approach to these data connectors.Data for our ML systemsYou'll figure out the best way to preprocess all these data mentioned above to make them useful to models.We often need datasets for our model fine-tuning. You'll work with our ML engineers and evaluation experts to find, gather, version, and apply these datasets in training runs.Your first week:Start building foundational contextGet to know your team, our stack (including Python, Flyte, and Spark), and the product roadmap.Familiarize yourself with our current data pipeline architecture and identify areas for potential improvement.Make your first contribution to ElicitComplete your first Linear issue related to our data pipeline or academic paper processing.Have a PR merged into our monorepo, demonstrating your understanding of our development workflow.Gain understanding of our CI/CD pipeline, monitoring, and logging tools specific to our data infrastructure.Your first month:You'll complete your first multi-issue projectTackle a significant data pipeline optimization or enhancement project.Collaborate with the team to implement improvements in our academic paper processing workflow.You're actively improving the teamContribute to regular team meetings and hack days, sharing insights from your data engineering expertise.Add documentation or diagrams explaining our data pipeline architecture and best practices.Suggest improvements to our data processing and storage methodologies.Your first quarter:You're flying soloIndependently implement significant enhancements to our data pipeline, improving efficiency and scalability.Make impactful decisions regarding our data architecture and processing strategies.You've developed an area of expertiseBecome the go-to resource for questions related to our academic paper processing pipeline and data infrastructure.Lead discussions on optimizing our data storage and retrieval processes for academic literature.You actively research and improve the productPropose and scope improvements to make Elicit more comprehensive and up-to-date in terms of scholarly sources.Identify and implement technical improvements to surpass competitors like Google Scholar in terms of coverage and data quality.Compensation, benefits, and perksIn addition to working on important problems as part of a productive and positive team, we also offer great benefits (with some variation based on location):Flexible work environment: work from our office in Oakland or remotely with time zone overlap (between GMT and GMT-8), as long as you can travel for in-person retreats and coworking eventsFully covered health, dental, vision, and life insurance for you, generous coverage for the rest of your familyFlexible vacation policy, with a minimum recommendation of 20 days/year + company holidays401K with a 6% employer matchA new Mac + $1,000 budget to set up your workstation or home office in your first year, then $500 every year thereafter$1,000 quarterly AI Experimentation & Learning budget, so you can freely experiment with new AI tools to incorporate into your workflow, take courses, purchase educational resources, or attend AI-focused conferences and eventsA team administrative assistant who can help you with personal and work tasksYou can find more reasons to work with us in this thread!For all roles at Elicit, we use a data-backed compensation framework to keep salaries market-competitive, equitable, and simple to understand. For this role, we target starting ranges of:Senior (L4): $185-270k + equityExpert (L5): $215-305k + equityPrincipal (L6): >$260 + significant equityWe're optimizing for a hire who can contribute at a L4/senior-level or above.We also offer above-market equity for all roles at Elicit, as well as employee-friendly equity terms (10-year exercise periods).

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Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.Position Overview We’re looking for a talented Cinematography Intern who has both a bar-raising touch for product videography and keen sense of social media presence. This role is ideal for someone passionate about bringing technology to life through visual storytelling and building out their portfolio using robotics and AI as a surface.  Responsibilities Capture compelling video content showcasing our robotics and AI products. Develop and execute creative concepts for short-form content tailored to social platforms. Collaborate with the product and marketing teams to ensure videos highlight product features and brand identity. Support editing, post-production, and delivery of content optimized for multiple channels. Push creative boundaries to make technical subjects visually engaging and accessible. Preferred Qualifications Currently enrolled in or recently graduated from a local art school program in film, cinematography, or a related field – alternatively, demonstrated skill in the craft.  Strong portfolio showcasing product videography or creative visual storytelling. Awareness of current social media format trends (Reels, TikTok, YouTube Shorts, etc.). Technical skills in camera work, lighting, and editing software. Curiosity and excitement about robotics, AI, and emerging technology. Exposure to both product and brand storytelling in a fast-growing startup environment. Potential for full-time employment after internship based on performance. Hands-on experience capturing cutting-edge robotics and AI products.

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Company OverviewDeepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram.Company Operating RhythmAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.Note: this role is based out of the EMEA territory.Regional ExpectationsBased in an EMEA time zone with strong overlap to customer business hours.Excellent written and spoken English. Additional European languages are a strong plus.The OpportunityAt Deepgram, we make it easy to create inspiring voice experiences. Today, we offer the Deepgram Enterprise Runtime, which powers low-latency, high-quality, affordable Speech to Text, Text to Speech, Voice Intelligence and Voice Agent APIs. What’s next? We’re building the speech company.Our Customer Success team, known as The Heartbeat of Deepgram, sits at the intersection of customers, product, and growth. We’re not here just to “manage accounts”; we make Deepgram successful in our customers’ environments by combining technical expertise with commercial impact. Customer Success Engineers are hands-on partners who ensure adoption, solve complex technical challenges, and highlight opportunities for expansion. At the same time, we bring back the insights that shape Deepgram’s roadmap and the internal tools we build to support customers.Who You AreYou are not a traditional CSM. You’re a Customer Success Engineer, someone who thrives at the intersection of APIs, customer outcomes, and business growth. You have a strong technical foundation and are comfortable running demos, guiding architecture discussions, and helping customers integrate AI-driven solutions into their workflows. You’re equally skilled at reading a room, building trust with executives, and uncovering growth opportunities that come from technical adoption. You’ve likely been a Technical Account Manager, Sales Engineer, Implementation Engineer, or Support Engineer, and you’re excited to bring that blended experience to help customers realize value from day one and scale it over time.As a Partner Success Engineer, you will nurture and grow relationships with strategic customers and technology partners, leading initiatives that drive joint adoption, enablement, and measurable business outcomes. You will own the lifecycle for assigned partners from onboarding and enablement through engagement, performance analysis, and expansion.You will be pivotal in aligning partner strategies with Deepgram’s roadmap and strategy, ensuring both Deepgram and our partners achieve shared success. What You’ll DoAct as a technical expert and strategic advisor to enterprise customers, engaging directly with developers, engineers, and executives to align business goals with technical solutions.Build, nurture, and sustain customer relationships across all personas interacting with Deepgram (from developers, program managers to CIOs, CTOs, and other C-level stakeholders).Conduct regular on-site visits with customers to partner closely, work hands-on to drive adoption, and actively embed Deepgram into their workflows. Frequent travel may be required.Own and manage the full customer lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy.Focus on making Deepgram successful in the customer’s environment; ensuring products are integrated, enabled, and adopted effectively, applying best practices, reference architectures, and creative solutions to drive outcomes.Continuously operate in discovery mode, surfacing customer issues, deeply understanding their complexity and business impact, and translating them into actionable requirements for internal teams.Confidently run live product demos, guide architecture discussions, and troubleshoot L1-style issues, bridging the gap between technical support, solutions design, and commercial growth.Maintain a deep understanding of Deepgram APIs, integrations, and AI/ML technologies.Leverage AI to amplify your impact; be an expert in how Customer Success can apply AI to drive customer outcomes, surface insights, and improve internal systems.Proactively identify & scope opportunities for expansion (cross-sell, upsell, multi-product adoption), partnering with Sales.Develop and execute structured customer success plans that align business outcomes with Deepgram’s product capabilities.Proactively initiate and lead executive business reviews, joint planning sessions, and strategy workshops to stay ahead of risks, ensure alignment, and surface opportunities for growth.Serve as the voice of the customer internally, influencing product roadmap, GTM strategy, and even the internal tools and processes we build to support customers.Track, analyze, and report on key performance indicators (adoption, usage, health, satisfaction, expansion, and overall revenue impact).You’ll Love This Role If YouThrive at the intersection of sales engineering, account management, and customer success.Have high EQ and high learning index, you read the room, adapt your style, and quickly absorb technical and business complexity.Are a strong communicator who can keep many stakeholders aligned and focused, often through constant updates and over-communication on status and ownership.Are energized by technical problem-solving, live demos, and translating support questions into growth conversations or business outcomes.See customer health and technical adoption not as endpoints but as the fuel for revenue expansion.Value collaboration and thrive in high-growth, fast-paced environments where priorities shift quickly.Have a high degree of integrity and can work both collaboratively and independently in a remote WFH environment. Being self-directed is key to staying proactive.Enjoy leveraging data to guide decisions, uncover insights, and identify opportunities for program improvement.Are persistent, resourceful, and able to adapt your communication style to suit both technical and business audiences.Are thoughtful in your approach and constantly question the status quo. Just because we do things a certain way, doesn’t mean it’s the best way! It’s Important To Us That You Have7–10+ years in Technical Account Management, Sales Engineering, and/or Enterprise Customer Success (with strong technical focus), at innovative, API-driven technology companies (developer-first, developer tools, or emerging AI/tech)A proven track record in roles that blend customer engagement with technical expertise, navigating between solution design, technical problem-solving, and commercial growth.Hands-on experience with running product demos, POCs, or technical workshops with enterprise customers.Demonstrated success identifying expansions, cross-sell, and upsell opportunities in complex enterprise accounts.Strong technical aptitude: able to discuss APIs, developer workflows, and troubleshoot basic L1-style support questions (no coding required, but must be fluent in technical conversations)Experience engaging across technical teams (developers, architects, support) and executive buyers (CIO, CTO, VP Engineering, etc.).Exceptional interpersonal, communication and collaboration skills, with proven ability to influence internal and external stakeholders (including executives, technical teams, and sales).A strong sense of ownership and stewardship for your customers, and a keen focus on developing a strong personal brand.A strong understanding of partner ecosystems, channel business models (resale, referral, integrations, co-marketing, co-selling), and multi-party commercial dynamics.It Would Be Great If You HadA background spanning solutions engineering, technical account management, or L1 support in addition to CSM responsibilities.Experience working in AI, machine learning, voice AI, cloud infrastructure, or developer-first technologies.Familiarity with automation tools, advanced analytics, and/or basic scripting that help you move faster and smarter.This job description incorporates the strategic focus, cross-functional partnership, and data-driven approach that define Deepgram’s go-to-market and customer-centric roles. If you’re passionate about helping partners and technology companies thrive together, and you love operating where innovation and relationship management intersect, we’d like to hear from you.Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.We are happy to provide accommodations for applicants who need them.

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Company OverviewDeepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram.Company Operating RhythmAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.The OpportunityAt Deepgram, we make it easy to create inspiring voice experiences. Today, we offer the Deepgram Enterprise Runtime, which powers low-latency, high-quality, affordable Speech to Text, Text to Speech, Voice Intelligence and Voice Agent APIs. What’s next? We’re building the speech company.Our Customer Success team, known as The Heartbeat of Deepgram, sits at the intersection of customers, product, and growth. We’re not here just to “manage accounts”; we make Deepgram successful in our customers’ environments by combining technical expertise with commercial impact. Customer Success Engineers are hands-on partners who ensure adoption, solve complex technical challenges, and highlight opportunities for expansion. At the same time, we bring back the insights that shape Deepgram’s roadmap and the internal tools we build to support customers.Who You AreYou are not a traditional CSM. You’re a Customer Success Engineer, someone who thrives at the intersection of APIs, customer outcomes, and business growth. You have a strong technical foundation and are comfortable running demos, guiding architecture discussions, and helping customers integrate AI-driven solutions into their workflows. You’re equally skilled at reading a room, building trust with executives, and uncovering growth opportunities that come from technical adoption. You’ve likely been a Technical Account Manager, Sales Engineer, Implementation Engineer, or Support Engineer, and you’re excited to bring that blended experience to help customers realize value from day one and scale it over time.As a Partner Success Engineer, you will nurture and grow relationships with strategic customers and technology partners, leading initiatives that drive joint adoption, enablement, and measurable business outcomes. You will own the lifecycle for assigned partners from onboarding and enablement through engagement, performance analysis, and expansion.You will be pivotal in aligning partner strategies with Deepgram’s roadmap and strategy, ensuring both Deepgram and our partners achieve shared success. What You’ll DoAct as a technical expert and strategic advisor to enterprise customers, engaging directly with developers, engineers, and executives to align business goals with technical solutions.Build, nurture, and sustain customer relationships across all personas interacting with Deepgram (from developers, program managers to CIOs, CTOs, and other C-level stakeholders).Conduct regular on-site visits with customers to partner closely, work hands-on to drive adoption, and actively embed Deepgram into their workflows. Frequent travel may be required.Own and manage the full customer lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy.Focus on making Deepgram successful in the customer’s environment; ensuring products are integrated, enabled, and adopted effectively, applying best practices, reference architectures, and creative solutions to drive outcomes.Continuously operate in discovery mode, surfacing customer issues, deeply understanding their complexity and business impact, and translating them into actionable requirements for internal teams.Confidently run live product demos, guide architecture discussions, and troubleshoot L1-style issues, bridging the gap between technical support, solutions design, and commercial growth.Maintain a deep understanding of Deepgram APIs, integrations, and AI/ML technologies.Leverage AI to amplify your impact; be an expert in how Customer Success can apply AI to drive customer outcomes, surface insights, and improve internal systems.Proactively identify & scope opportunities for expansion (cross-sell, upsell, multi-product adoption), partnering with Sales.Develop and execute structured customer success plans that align business outcomes with Deepgram’s product capabilities.Proactively initiate and lead executive business reviews, joint planning sessions, and strategy workshops to stay ahead of risks, ensure alignment, and surface opportunities for growth.Serve as the voice of the customer internally, influencing product roadmap, GTM strategy, and even the internal tools and processes we build to support customers.Track, analyze, and report on key performance indicators (adoption, usage, health, satisfaction, expansion, and overall revenue impact).You’ll Love This Role If YouThrive at the intersection of sales engineering, account management, and customer success.Have high EQ and high learning index, you read the room, adapt your style, and quickly absorb technical and business complexity.Are a strong communicator who can keep many stakeholders aligned and focused, often through constant updates and over-communication on status and ownership.Are energized by technical problem-solving, live demos, and translating support questions into growth conversations or business outcomes.See customer health and technical adoption not as endpoints but as the fuel for revenue expansion.Value collaboration and thrive in high-growth, fast-paced environments where priorities shift quickly.Have a high degree of integrity and can work both collaboratively and independently in a remote WFH environment. Being self-directed is key to staying proactive.Enjoy leveraging data to guide decisions, uncover insights, and identify opportunities for program improvement.Are persistent, resourceful, and able to adapt your communication style to suit both technical and business audiences.Are thoughtful in your approach and constantly question the status quo. Just because we do things a certain way, doesn’t mean it’s the best way! It’s Important To Us That You Have7–10+ years in Technical Account Management, Sales Engineering, and/or Enterprise Customer Success (with strong technical focus), at innovative, API-driven technology companies (developer-first, developer tools, or emerging AI/tech)A proven track record in roles that blend customer engagement with technical expertise, navigating between solution design, technical problem-solving, and commercial growth.Hands-on experience with running product demos, POCs, or technical workshops with enterprise customers.Demonstrated success identifying expansions, cross-sell, and upsell opportunities in complex enterprise accounts.Strong technical aptitude: able to discuss APIs, developer workflows, and troubleshoot basic L1-style support questions (no coding required, but must be fluent in technical conversations)Experience engaging across technical teams (developers, architects, support) and executive buyers (CIO, CTO, VP Engineering, etc.).Exceptional interpersonal, communication and collaboration skills, with proven ability to influence internal and external stakeholders (including executives, technical teams, and sales).A strong sense of ownership and stewardship for your customers, and a keen focus on developing a strong personal brand.A strong understanding of partner ecosystems, channel business models (resale, referral, integrations, co-marketing, co-selling), and multi-party commercial dynamics.It Would Be Great If You HadA background spanning solutions engineering, technical account management, or L1 support in addition to CSM responsibilities.Experience working in AI, machine learning, voice AI, cloud infrastructure, or developer-first technologies.Familiarity with automation tools, advanced analytics, and/or basic scripting that help you move faster and smarter.This job description incorporates the strategic focus, cross-functional partnership, and data-driven approach that define Deepgram’s go-to-market and customer-centric roles. If you’re passionate about helping partners and technology companies thrive together, and you love operating where innovation and relationship management intersect, we’d like to hear from you.Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.We are happy to provide accommodations for applicants who need them.

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About Articul8 AIAt Articul8, we build enterprise-grade Generative AI solutions that help global organizations unlock new value from their data. Our platform is trusted by some of the world's most innovative companies, and we partner closely with customers to design, deploy, and scale AI solutions that deliver measurable impact.As a fast-moving startup, we move with urgency and focus. Every team member has real ownership, and the work you do here directly shapes our platform and our customers' success. If you thrive in an environment where innovation happens daily and impact is visible, Articul8 is the place to do the best work of your career.Role OverviewThe Manufacturing & Industrial Solutions Architect at Articul8 will play a critical role in partnering with leading manufacturing companies to design, implement, and optimize scalable, flexible, and resilient cloud architectures. This senior technical role will merge deep manufacturing and industrial domain expertise, cloud architecture proficiency, and customer success engagement to deliver measurable business impact. The role includes guiding the product roadmap by driving feedback and market insights into solution strategy and product development in complex enterprise environments.Key ResponsibilitiesDesign and deploy scalable architectures for manufacturing use cases including industrial operations that include SCADA/HMI, EDA, IoT, Machine Learning, AI, and advanced analytics.Lead technical workshops, prototype solutions, and oversee platform deployment and optimization.Collaborate with product and engineering teams to incorporate customer feedback into the product roadmap.Advise customers on Articul8 product adoption strategies with a focus on differentiating capability, security, cost, and operational efficiency.Architect and tune Kubernetes-based and containerized infrastructure leveraging cloud platforms (AWS, Azure, GCP, or on-premises) to ensure infrastructure excellence.Develop reusable solution templates and document best practices.Partner with sales and business development to drive cloud adoption and align solutions with industry trends.Continuously monitor and improve deployed solutions for performance and scalability.Communicate technical concepts clearly to diverse audiences and advocate for customer needs internally.Stay current with emerging manufacturing and cloud technologies to inform strategy and ability to support other industry verticals when required.Required Qualifications10+ years of experience in solution architecture, technical implementation, or enterprise software delivery, including significant engagement with executive and technical leadership.Strong expertise in cloud platforms, Kubernetes orchestration, containerization, microservices architecture, and modern programming languages (e.g., Python, Node.js, Go).Deep understanding of manufacturing industry specific challenges, IT/OT convergence, and digital transformation.Experience with enterprise integration patterns, RESTful APIs, GraphQL, and data engineering.Proven ability to build effective prototypes, demos, and production-grade deployments.Exceptional communication skills, capable of articulating complex technical concepts clearly across business and engineering audiences.Expertise in generative AI building blocks and at least one specialization in AI/ML pipelines, API design, data engineering, vector/graph databases, or AI model orchestration.Willingness and ability to travel for customer workshops, deployments, and support as necessary.Our Culture MattersAt Articul8, culture isn't just words — it's how we show up for each other and our customers:Practice humility – Listen first, respect all voices, and recognize that great solutions are built together.Bias for outcomes – Focus on impact, not just effort; deliver meaningful results that matter to our customers.Care deeply – About customers, teammates, and the quality of our deliverables. Act as Customer 0 for our products and tools.Dare to do the impossible & embrace scarcity – Push boundaries with creativity and resourcefulness.Build a better world – Use our technology and platform to create solutions that benefit not just enterprises, but society at large.What We OfferJoining Articul8 means stepping into a startup environment where every contribution matters and outcomes move the company forward. It's an "all in" culture — not about long hours, but about shared commitment, ownership, and impact.The opportunity to architect and implement cutting-edge Generative AI for leading global enterprises.A culture of curiosity and technical excellence, where you'll continuously learn and grow.High ownership of solutions — your work goes live, impacts customers directly, and informs the product roadmap.A collaborative team that values diversity, inclusion, and creativity, supporting both personal and professional development.Equity and ownership opportunities in a category-defining company.The chance to build reference architectures and deployments that will shape enterprise AI adoption at scale.If you're ready to join a team that's moving fast, thinking big, and helping customers succeed with Generative AI from initial vision through production deployment, we'd love to hear from you.

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Company OverviewDeepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram.Company Operating RhythmAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.At Deepgram, we make it easy to create inspiring voice experiences. Today, we offer the Deepgram Enterprise Runtime, which powers low-latency, high-quality, affordable Speech to Text, Text to Speech, Voice Intelligence and Voice Agent APIs. What’s next? We’re building the speech company.Our Customer Success team, known as The Heartbeat of Deepgram, sits at the intersection of customers, product, and growth. We’re not here just to “manage accounts”; we make Deepgram successful in our customers’ environments by combining technical expertise with commercial impact. Customer Success Engineers are hands-on partners who ensure adoption, solve complex technical challenges, and highlight opportunities for expansion. At the same time, we bring back the insights that shape Deepgram’s roadmap and the internal tools we build to support customers.Who You AreYou are not a traditional CSM. You’re a Partner Success Engineer, someone who thrives at the intersection of APIs, customer outcomes, and channel growth. You have a strong technical foundation and are comfortable running demos, guiding architecture discussions, and helping customers integrate AI-driven solutions into their workflows. You’re equally skilled at reading a room, building trust with executives, and uncovering growth opportunities that come from technical adoption. You’ve likely been a Partner Manager, Technical Account Manager, Sales Engineer, Implementation Engineer, or Support Engineer, and you’re excited to bring that blended experience to help customers realize value from day one and scale it over time.As a Partner Success Engineer, you will nurture and grow relationships with strategic customers and technology partners, leading initiatives that drive joint adoption, enablement, and measurable business outcomes. You will own the lifecycle for assigned partners from onboarding and enablement through engagement, performance analysis, and expansion.You will be pivotal in aligning partner strategies with Deepgram’s roadmap and strategy, ensuring both Deepgram and our partners achieve shared success. What You’ll DoDevelop and scale best practices, processes, and tools for partner success management.Act as a technical expert and strategic advisor to strategic partners, engaging directly with developers, engineers, and executives to align business goals with technical solutions.Build, nurture, and sustain partner/customer relationships across all personas interacting with Deepgram (from developers, program managers to CIOs, CTOs, and other C-level stakeholders).Conduct regular on-site visits with partners, work hands-on to drive adoption, and actively embed Deepgram into their workflowsOwn and manage the full partner lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy.Focus on making Deepgram successful in the partner ecosystem; ensuring products are integrated, enabled, and adopted effectively, applying best practices, reference architectures, and creative solutions to drive outcomes.Continuously operate in discovery mode, surfacing issues, deeply understanding their complexity and business impact, and translating them into actionable requirements for internal teams.Confidently run live product demos, guide architecture discussions, and troubleshoot L1-style issues, bridging the gap between technical support, solutions design, and commercial growth.Maintain a deep understanding of Deepgram APIs, integrations, and AI/ML technologies.Leverage AI to amplify your impact; be an expert in how you can apply AI to drive customer outcomes, surface insights, and improve internal systems.Proactively identify & scope opportunities for expansion (cross-sell, upsell, multi-product adoption), partnering with Sales.Proactively initiate and lead executive business reviews, joint planning sessions, and strategy workshops to stay ahead of risks, ensure alignment, and surface opportunities for growth.Serve as the voice of the customer internally, influencing product roadmap, GTM strategy, and even the internal tools and processes we build to support customers.Track, analyze, and report on key performance indicators (adoption, usage, health, satisfaction, expansion, and overall revenue impact).Lead issue resolution and serve as an escalation point for complex, cross-functional partner matters, ensuring timely and satisfactory outcomes.You’ll Love This Role If YouThrive at the intersection of sales engineering, account management, and customer success.Have high EQ and high learning index, you read the room, adapt your style, and quickly absorb technical and business complexity.Are a strong communicator who can keep many stakeholders aligned and focused, often through constant updates and over-communication on status and ownership.Are energized by technical problem-solving, live demos, and translating support questions into growth conversations or business outcomes.See customer health and technical adoption not as endpoints but as the fuel for revenue expansion.Value collaboration and thrive in high-growth, fast-paced environments where priorities shift quickly.Have a high degree of integrity and can work both collaboratively and independently in a remote WFH environment. Being self-directed is key to staying proactive.Enjoy leveraging data to guide decisions, uncover insights, and identify opportunities for program improvement.Are persistent, resourceful, and able to adapt your communication style to suit both technical and business audiences.Are thoughtful in your approach and constantly question the status quo. Just because we do things a certain way, doesn’t mean it’s the best way! It’s Important To Us That You Have7–10+ years in Technical Account Management, Sales Engineering, and/or Enterprise Customer Success (with strong technical focus), at innovative, API-driven technology companies (developer-first, developer tools, or emerging AI/tech)A proven track record in roles that blend customer engagement with technical expertise, navigating between solution design, technical problem-solving, and commercial growth.Hands-on experience with running product demos, POCs, or technical workshops with enterprise customers.Demonstrated success identifying expansions, cross-sell, and upsell opportunities in complex enterprise accounts.Strong technical aptitude: able to discuss APIs, developer workflows, and troubleshoot basic L1-style support questions (no coding required, but must be fluent in technical conversations)Experience engaging across technical teams (developers, architects, support) and executive buyers (CIO, CTO, VP Engineering, etc.). Demonstrated success building strong relationships and delivering key business outcomes.Exceptional interpersonal, communication and collaboration skills, with proven ability to influence internal and external stakeholders (including executives, technical teams, and sales).A strong sense of ownership and stewardship for your customers, and a keen focus on developing a strong personal brand.A strong understanding of partner ecosystems, channel business models (resale, referral, integrations, co-marketing, co-selling), and multi-party commercial dynamics.Experience building new processes from the ground up.Experience building or scaling a customer success or channel program.It Would Be Great If You HadA background spanning solutions engineering, technical account management, or L1 support in addition to CSM or Partner Management responsibilities.Experience working in AI, machine learning, voice AI, cloud infrastructure, or developer-first technologies.Familiarity with automation tools, advanced analytics, and/or basic scripting that help you move faster and smarter.Familiarity with channel/partner marketing, enablement programs, or technical enablement asset creation.This job description incorporates the strategic focus, cross-functional partnership, and data-driven approach that define Deepgram’s go-to-market and customer-centric roles. If you’re passionate about helping partners and technology companies thrive together, and you love operating where innovation and relationship management intersect, we’d like to hear from you.Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.We are happy to provide accommodations for applicants who need them.

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.We are looking for a Product Evangelist with a passion for AI to help inspire, educate, and engage the global data community. You will act as a bridge between Dataiku, practitioners, and thought leaders, showing how AI can be applied in practical and responsible ways. What You’ll Do Represent Dataiku in the AI ecosystem: speak at events, host webinars, and engage online. Develop technical content: demos, blogs, tutorials, videos, and sample projects. Create compelling content that is grounded in persuasion and storytelling. Foster community relationships with developers, data scientists, and researchers. Act as a product advocate: provide feedback from the field to improve the platform. Deliver workshops and training sessions that make AI more approachable and impactful. What We’re Looking For 7+ years in technical roles (e.g., developer, data scientist, solutions engineer, or product specialist) with experience communicating complex concepts to diverse audiences. Current hands-on experience in AI, machine learning, or data science. Ability to explain complex technical concepts with clarity and enthusiasm. Proven record of public speaking or creating influential technical content. Deep familiarity with the Bay Area tech ecosystem and willingness to be on-site/hybrid in San Francisco. Why Join Us? As a Product Evangelist, you will play a visible role in shaping how the world understands and applies AI. You’ll collaborate across borders, influence global conversations, and bring Dataiku’s vision of Everyday AI to life. If you are driven by innovation, communication, and community, we would love to meet you  Compensation and Benefits The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.  Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.US only national base pay ranges$220,000—$300,000 USD  What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Senior Product Manager at Vanta, you will be responsible for the compliance document management vertical of the Vanta Agent, guiding customers to generate and maintain compliance documents tailored to their business through AI powered workflows. Today, this process is slow, manual, and often stressful for companies. These documents are foundational to how a company’s security program operates—requiring customers to interpret multiple compliance requirements, establish processes, and define how those processes run, all while ensuring they will meet auditor expectations. By guiding and automating document creation, you will help customers dramatically shorten the path to audit readiness and build confidence that their processes and documentation are aligned to their business needs.The Vanta Agent team is building the future of security and compliance management at Vanta. Our vision is for the Agent to become the default way customers run their programs: always-on, context-aware, explainable, and safe. Instead of navigating through pages to discover what to do next, the Agent proactively prompts customers with recommendations, backed by clear justification, that can be accepted in one-click. The Agent delivers integrated AI-powered workflows that transform historically manual, time-consuming compliance processes and document creation into tasks completed in minutes, ensuring clarity and confidence in the results.What you’ll do as a Senior Product Manager at Vanta:Own the document & policies creation workflows and build the Agent features to automate those processesHelp customers evolve their security programs by building Agent workflows for surfacing recommendations and completing relevant actionsDeeply understand our customers and market, and translate their needs into clear Agent experiences that solve real compliance challengesPartner with design and engineering to establish consistent interaction patterns—across chat, inline actions, and background automations—that make the Agent reliable, explainable, and safeShape and scale the Agent’s interoperability: building the catalog of tools and integrations that enable meaningful, trusted actions across VantaDeliver high-quality products that addresses key customer pain points and establishes Vanta’s leadership in AI powered GRC solutionsHelp define and shape Vanta’s product team culture as we growHow to be successful in this role:Have 5+ years of product management experience, with a proven track record of delivering high-quality SaaS/B2B and AI productsHave strong technical skills and experience working directly with LLMs, including writing and iterating on prompts, evaluating outputs, and driving systematic quality improvementsPossess a customer-focused mindset– proactively reach out to customers, synthesize feedback, and partner with go-to-market teamsBe deeply curious, empathetic, and user-centric, with a knack for driving effective collaboration among diverse stakeholdersCommunicate with clarity and influence—both written and verbal—with team members, stakeholders, and executivesHave a learner’s mindset, a genuine passion for building AI products, and the grit to experiment, iterate, and failHave a deep interest in and knowledge of the evolving AI/ML ecosystemBe data driven– you lean into qual signals from users and can dig into the quant side to inform roadmap & prioritizationWhat you can expect as a Vantan:Industry-competitive compensation100% covered medical, dental, and vision benefits with dependents coverage16 weeks fully-paid parental Leave for all new parentsHealth & wellness and remote workplace stipendsFamily planning benefits through Carrot Fertility401(k) matchingFlexible work hours and locationOpen PTO policy11 paid holidays in the USOffices in SF, NYC, London, Dublin, and SydneyTo provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors and may vary based on candidate location, skills, depth of work experience, and relevant licenses/credentials. #LI-remoteAt Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply.About VantaWe started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation. Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security. From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world's leading Trust Management Platform, our vision remains unchanged. Now more than ever, making security continuous—not just a point-in-time check— is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust— all in a way that's real-time and transparent.

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About FirsthandFirsthand has built the first AI-powered Brand Agent platform, transforming the way marketers and publishers engage consumers through their own AI agents, anywhere online.While most AI applications in marketing and advertising focus on back-office automation, the Firsthand Brand Agent Platform™ powers front-line consumer engagement. Operating across both owned properties and paid media, Firsthand's Brand Agents make a company’s expertise accessible in real time, adapting to consumers’ interests and guiding them towards the information they need to take action. Central to the platform is Lakebed™, the company’s AI-first data and knowledge rights management system that ensures brands retain full ownership and control of their expertise.Firsthand is led by Jon Heller, Michael Rubenstein, and Wei Wei, whose previous ventures helped build the foundations of modern digital advertising. Backed by Radical Ventures, FirstMark Capital, Aperiam Ventures, and Crossbeam Venture Partners, Firsthand is shaping the future of AI-driven consumer engagement.Firsthand is headquartered in NYC, with team members working together in-office three days a week.About the RoleWe are seeking Senior Publisher Solutions Consultants to join our fast-growing team.As part of our team, you’ll be at the forefront of transforming how our clients engage their users through AI. You’ll partner closely with enterprise clients—advertisers and publishers—to design, implement, and optimize intelligent AI agent experiences. This is a cross-functional role that blends business acumen, technical fluency, top notch client service, and creativity. You'll help bridge client goals with Firsthand's evolving AI platform and play a key role in scaling new use cases, surfacing insights, and defining best practices.What You'll DoClient Integration & EnablementGuide new clients through onboarding, including solution design and tech implementation.Collaborate with clients to understand goals and align our solutions to their business needs.Manage the end-to-end build of Firsthand agents—from content ingestion to front-end deployment.Develop a strong understanding of publisher tech stacks to ensure seamless integrationInternal Collaboration & Product FeedbackCollaborate with Engineering and Product to troubleshoot issues and test improvements.Act as a voice of the customer to influence our product roadmap on behalf of clients.Create and maintain documentation, playbooks, and enablement materials to support team growth.PreSales & Sales SupportPartner with the commercial teams to craft compelling demos and technical narratives.Represent Firsthand in technical conversations during the sales cycle.Adapt messaging style based on audience, shifting seamlessly between deep technical discussions and high-level strategic presentations.AI Experimentation & Strategic ConsultingDesign and run AI experiments that demonstrate agent effectiveness and drive client value.Analyze engagement data and user interactions to generate actionable insights.Provide strategic recommendations to optimize agent design, content inputs, and user flows.Analyze performance of campaigns and generate compelling data analyses and case studies.Who You AreYou’ve worked for 7+ years in ad tech, martech, or a SaaS startup and love the pace and ambiguity of a growing company.You’re excited about AI and its applications in marketing, media, and user experience.You can toggle between technical details and strategic narratives with ease.You enjoy working with both internal teams and external clients, and can build trust quickly.You’re comfortable making slide decks, manipulating spreadsheets, working with data dashboards, and gleaning insights from complex datasets.Bonus points for experience with SQL, troubleshooting network traffic, and diagnosing complex issues across publisher tech stacks.Adaptable and resourceful: able to thrive in new environments, adjust to evolving priorities, and communicate effectively with diverse audiences.A hardworking team player who excels in fast-paced, collaborative settings.Why Join UsYou’ll join a small, agile team working on some of the most exciting use cases in AI and marketing.You’ll help shape how leading brands and publishers deploy next-gen AI experiences.You’ll work with a product team that values experimentation, customer feedback, and fast iteration.A rare opportunity to help introduce and guide deep and fundamental change to a fast-moving and innovative industry.You’ll play an integral role in shaping our company and culture.You’ll join an open, inclusive and professional culture and work environment. How to ApplyIf you are ready to embark on an exhilarating journey at the forefront of AI, seize this incredible opportunity and apply here. We eagerly anticipate hearing from you!Note: Compensation and equity will be market-competitive for well-capitalized, early stage startups and will be discussed during the interview process.

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About the Role AI has the potential to transform the way the world’s largest enterprises operate, unlocking new value, efficiency, and growth. Capturing this opportunity requires not just breakthrough technology, but the ability to guide organizations through complex and often disruptive change. The Sales Strategy and Operations Manager plays a critical role in this mission.This is a highly consultative position focused on nurturing, advancing, and closing complex and high-profile deals. You will build ROI models, shape value propositions, design creative pricing tied to measurable outcomes, and draft complex statements of work that span products and services. You will engage senior executives and technical evaluators alike, orchestrating the process to ensure opportunities advance with clarity and rigor to successful closure.Key ResponsibilitiesNurture, advance, and close complex enterprise opportunities.Lead a highly consultative process with multiple stakeholders, from C-suite executives to technical evaluators.Develop ROI models, business cases, and value frameworks that quantify the impact of AI adoption.Design creative pricing structures tied to measurable business outcomes.Guide prospects through the consultative sales journey, balancing strategic storytelling with detailed execution.Draft and negotiate sophisticated SOWs that integrate products and services.Coordinate input across internal teams (product, delivery, engineering, finance, marketing) to deliver coherent and compelling proposals.Contribute to the development of value propositions, sales decks, and GTM strategy for verticals and geographies.Provide structured feedback to cross-functional teams to improve offerings, pricing models, and market approach.Qualifications3–5 years in management consulting, enterprise sales strategy, or similar roles requiring analytical rigor and client-facing skills.MBA from top tier business schoolBS/MS in Computer Science and/or related fieldProven ability to develop business cases, ROI models, and value-based proposals.Experience managing complex engagements that combine products and services.Exceptional communication skills, with the ability to engage senior executives and technical stakeholders alike.Creative problem solver able to design pricing and contractual structures based on client value.Strong writing skills for proposals, SOWs, and executive-level communications.Comfortable in fast-paced, ambiguous environments where each deal requires a tailored approach.Technical curiosity and ability to translate AI capabilities into business outcomes.Performance MetricsNumber and value of complex, high-profile deals nurtured, advanced, and closed.Effectiveness of ROI models and business cases in securing executive alignment.Quality, accuracy, and timeliness of proposals, SOWs, and pricing structures.Client feedback on consultative engagement and value articulation.Contribution to GTM materials and actionable input to cross-functional teams.

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About the teamThe Solutions Architecture team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.About the RoleWe are seeking a technically proficient, business-minded Solutions Architect to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Startups Solutions Architecture Lead.This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Partner closely with strategic startup customers as their technical thought partner to build novel applications on our API, helping them rapidly move from ideation to scale.Provide proactive guidance to maximize business impact and accelerate application development.Experiment and prototype alongside customers, demonstrating practical use cases.Contribute to open-source resources and scale the function by sharing knowledge, codifying best practices, and publishing useful resources.Synthesize and deliver valuable feedback to the Product and Research teams.Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community.You’ll thrive in this role if you:Have 5+ years of experience as a software engineer, ML engineer or equivalent, ideally in a startup environment; experience as a founder or founding engineer is highly valued.Have passion for startups and a belief in their potential to become future large enterprises.Are proficient in Python, JavaScript, and a strong grasp of AI/LLM best practices.Built and/or delivered prototypes on top of our API platform.Can proactively identify opportunities for maximizing our customers’ business value through leveraging the OpenAI API.Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the RoleDecagon is seeking a Solutions Architect, a foundational technical hire who will shape the future of our AI-powered enterprise solutions. This role sits at the intersection of pre-sales engineering, product strategy, and enterprise architecture. You will act as a trusted advisor to enterprise prospects and customers, guiding them through how Decagon’s AI-native platform integrates into their technology environments to unlock measurable business value. As a founding hire in this function, you will define best practices for technical solutioning, partner cross-functionally with Sales, Product, and Engineering, and set the standard for how Decagon engages with enterprises at scale. You will establish technical credibility with stakeholders across the C-suite, business functions, and engineering teams.What You’ll DoPartner with Account Executives to discover, qualify, and design solutions that deliver measurable ROI for enterprise customers.Rapidly assess a customer’s technology stack and requirements, translating them into an integration strategy for Decagon’s platform.Develop custom demonstrations on the Decagon platform tailored to customer-specific needs and value drivers.Establish scalable pre-sales processes, technical playbooks, and reusable assets to support growth.What You’ll Bring8–10+ years of experience in customer-facing technical roles such as Solutions Architect, Sales Engineer, or Pre-Sales Consultant.Ability to quickly understand complex enterprise technology stacks and connect them to Decagon’s platform capabilities.Demonstrated success engaging with large organizations and aligning solutions with strategic business outcomes.Strong technical proficiency in developing tailored demos, proofs-of-concept, and solution architectures.Even Better If You Have2+ years of direct AI/Generative AI sales engineering experience.Experience working in a high-growth startup environment.Hands-on experience integrating telephony infrastructure into enterprise systems.An engineering background (software engineering, systems engineering, or related) that enables you to dive deeper into technical conversations.BenefitsComprehensive medical, dental, and vision coverage.Flexible “take what you need” vacation policy.Daily lunches, dinners, and snacks provided in-office.