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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.

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< Remote - United States > Job Description: Stability AI’s Engineering Operations team is looking for a Senior Site Reliability Engineer (SRE) to join our growing team and play a pivotal role in improving and shaping our cloud infrastructure. The person will closely work with engineering, IT, security, and product teams to drive innovation and reliability in an evolving environment. Candidates should have the initiative to build and improve a maturing cloud landscape. Responsibilities: Developing and enforcing SRE best practices and standards across the organization. Architecting and managing scalable systems in AWS and other cloud environments, focusing on high availability and resilience. Implementing and maintaining infrastructure as code using Terraform. Setting up and refining monitoring, logging, and alerting systems. Driving incident management and root cause analysis to improve system reliability. Championing SRE principles and mentoring junior team members. Qualifications: Collaborating with development teams to enhance CI/CD pipelines. Experience scaling resource intensive systems, be it storage, networking, or compute. Knowledge and experience with Kubernetes or other container scaling solutions Background in software development or automation scripting. Knowledge and experience with Grafana, ELK stack, or similar tools. Cloud security experience. Equal Employment Opportunity: 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 other legally protected statuses.  

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Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About This Role:As a Senior Staff Software Engineer on the Managed AI team at Crusoe, you'll have a pivotal role in shaping the architecture and scalability of our next-generation AI inference platform. You will lead the design and implementation of core systems for our AI services, including resilient fault-tolerant queues, model catalogs, and scheduling mechanisms optimized for cost and performance. This role gives you the opportunity to build and scale infrastructure capable of handling millions of API requests per second across thousands of customers.From day one, you'll own critical subsystems for managed AI inference, helping to serve large language models (LLMs) to a global audience. As part of a dynamic, fast-growing team, you’ll collaborate cross-functionally, influence the long-term vision of the platform, and contribute to cutting-edge AI technologies. This is a unique opportunity to build a high-performance AI product that will be central to Crusoe's business growth.What You’ll Be Working On:Design and Development:Lead the design and implementation of core AI services, including:Resilient fault-tolerant queues for efficient task distribution.Model catalogs for managing and versioning AI models.Scheduling mechanisms optimized for cost and performance.High-performance APIs for serving AI models to customers.Scalability and Performance:Build and scale infrastructure to handle millions of API requests per second.Optimize AI inference performance on GPU-based systems.Implement robust monitoring and alerting to ensure system health and availability.Collaboration and Innovation:Collaborate closely with product management, business strategy, and other engineering teams.Influence the long-term vision and architectural decisions of the AI platform.Contribute to open-source AI frameworks and participate in the AI community.Prototype and iterate on new features and technologies.What You’ll Bring to the Team:Strong Engineering Fundamentals:Advanced degree in Computer Science, Engineering, or a related field.Demonstrable experience in distributed systems design and implementation.Proven track record of delivering early-stage projects under tight deadlines.Expertise in using cloud-based services, such as, elastic compute, object storage, virtual private networks, managed database, etc.AI/ML Expertise:Experience in Generative AI (Large Language Models, Multimodal).Familiarity with AI infrastructure, including training, inference, and ETL pipelines.Software Engineering Skills:Experience with container runtimes (e.g., Kubernetes) and microservices architectures.Experience using REST APIs and common communication protocols, such as gRPC.Demonstrated experience in the software development cycle and familiarity with CI/CD tools.Preferred Qualifications:Proficiency in Golang or Python for large-scale, production-level services.Contributions to open-source AI projects such as VLLM or similar frameworks.Performance optimizations on GPU systems and inference frameworks.Personal Attributes:Proactive and collaborative approach with the ability to work autonomously.Strong communication and interpersonal skills.Passion for building cutting-edge AI products and solving challenging technical problems.Benefits:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid Commuter FSA benefit of $200 per monthCompensation:Compensation will be paid up to $259,000 a year + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll doLead the design and delivery of production-grade AI agents: You’ll manage and grow a team of engineers building highly performant, reliable, and intuitive AI agents that are central, mission-critical, and directly drive Sierra’s growth. These aren’t prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. You’ll ensure technical excellence, operational reliability, and high customer impact.Own the Agent Development Life Cycle (ADLC): You’ll guide your team through the full lifecycle—from initial pilot through deployment and continuous iteration—coaching engineers to set and maintain the standard for ADLC best practices. You’ll ensure projects are delivered on time, meet customer needs, and scale effectively in production environments.Partner with large enterprises and cutting-edge startups: You’ll collaborate with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and guide your team in building AI agents that transform how they operate at scale. You’ll also work with innovative startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency.Shape the future of the platform: Your team’s direct work with customers will guide the evolution of Sierra’s core platform. You’ll surface unmet needs, prioritize initiatives, and collaborate with research, product, and platform teams to shape the future of AI agent development and Sierra’s product.What you'll bringExperience leading engineering teams that build and scale end-to-end production systemsStrong technical problem-solving skills and the ability to guide teams through ambiguous, fast-changing environmentsA leadership style that blends high standards with empathy, fostering both speed and qualityProven ability to work closely with customers and translate business needs into technical deliverablesExcellent communication skills across technical and non-technical audiencesDegree in Computer Science or related field, or equivalent professional experience.Even better...AI-related experience (experience developing AI agents a plus).Experience building or deploying AI/LLM systems in productionBackground as a founder, engineering lead, or startup builder with high ownership and urgencyFamiliarity with tools for today’s AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineeringPrior experience with React, TypeScript, and/or GoExperience interfacing with customers or leading technical projects with external stakeholdersOur valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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About Scale At Scale, our Generative AI Data Engine powers the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.  We are looking for a strong Field Engineer to join our team. This role requires a strong technical background, customer problem-solving mindset, and hands-on experience with data processing and automation. About the Role As a Field Engineer, you will be an integral member of our engineering team, responsible for ensuring customers can efficiently integrate and utilize Scale’s solutions. You will work across backend systems, automation workflows, and API integrations while collaborating closely with Customer Success, Product, and Engineering teams. You Will Own and manage technical relationships with customers, acting as the primary contact for API integration, debugging, and workflow optimization while ensuring seamless adoption of Scale’s solutions. Optimize and automate data pipelines and structured data processing through scripting and workflow improvements, ensuring efficiency and scalability. Develop and maintain internal tools, documentation, and SDKs to support customers and internal teams. Drive cross-functional collaboration with Engineering, Product, and Customer Success teams to enhance service delivery and advocate for technical improvements. Who We’re Looking For You thrive on problem-solving and unblocking others. You enjoy being the go-to person for resolving technical challenges and finding the most efficient path forward. You are patient and customer-focused. Whether working with internal teams or external customers, you take the time to understand their needs, ask the right questions, and guide them toward the best solution. You bring clarity to complexity. You excel at turning ambiguous, scattered, or confusing requests into structured, actionable plans that drive real progress. You are an exceptional communicator. You proactively keep stakeholders informed, provide clear updates, and ensure issues are resolved within the promised timeline—never letting things fall through the cracks. Ideally you’d have Strong proficiency in JavaScript/TypeScript (required); familiarity with Python is a plus. Experience working with REST APIs, debugging integration issues, and improving automation workflows. Familiarity with MongoDB or similar databases for managing structured data. Strong analytical and problem-solving skills, with a structured approach to debugging and optimization. Ability to manage multiple customer requests efficiently while maintaining high service standards. Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders. Why Join Scale? Work with top AI and ML experts to help shape the future of data-driven technology. Engage with cutting-edge customers, from startups to Fortune 500 companies. Growth opportunities to transition into leadership or specialized technical roles. Competitive salary, equity options, and comprehensive benefits package. Fully remote-friendly environment with opportunities for in-person collaboration.  PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Director, Operations & Growth – Infinity DesignAbout Infinity DesignInfinity Design is an AI-powered Digital Design Agency, and a business unit of Infinity AI - a holding company that scales AI-driven businesses in essential service sectors.Infinity AI is a joint venture between Infinity Constellation in NYC and Tier 1 regional MENA investors.We are seeking a Director for the launch of our AI-powered Digital Design Agency, Infinity Design. In this role, you will own the machine of the studio—pipeline, scoping, delivery, profitability, and growth. You set goals, orchestrate people and process, maintain clear visibility in our tools, and keep work on time, on budget, and at a premium standard. You’ll also sell: qualify leads, shape proposals, and close retainers/projects. ResponsibilitiesCommercial & growthBuild and manage a sales pipeline, run discovery, shape proposals/SOWs, and close.Price work for margin; structure retainers; model resourcing and capacity.Forecast revenue and own quarterly targetsDelivery & operationsMaintain end-to-end visibility across projects in Jira/Asana; ensure tickets, scopes, and dates are correct.Guardrails on scope: track hours, change requests, and enforce edit limits; escalate and renegotiate as needed.Sequence work to avoid bottlenecks; keep WIP flowing; unblock teams fast.Resource planning: staff projects, manage partners/freelancers, and keep utilisation healthy. Client leadershipSet objectives and success metrics per engagement; run key status calls; ensure expectations are managed.Step in to address risks early; keep relationships strong and reference-worthy. Team & processEstablish lightweight operating rituals (intake, planning, standups, reviews, retros).Coach PMs/Coordinators; partner with the Lead Designer on resourcing and quality gates.Codify playbooks, templates, and dashboards for repeatability and scale. Qualifications6–10+ years in digital/brand/creative environments with director-level ownership (operations, delivery, or account/growth).Proven record selling and delivering projects/retainers profitably.Tool literacy: Jira/Asana, Figma (read/comment), Adobe Suite (familiarity), Google Workspace, Notion, CRM.Financial fluency: pricing, margin, utilisation, capacity planning, forecasting.Excellent stakeholder management and crisp written/spoken communication.Bias to ship—you balance quality with velocity and protect the schedule. Nice to haveExperience in MENA markets; Arabic a plus.Familiarity with Webflow/Framer workflows and vendor management.Comfortable leveraging AI to speed ops (reporting, proposals, analysis). What We OfferA once-in-a-decade opportunity to build Infinity MENA’s Design business from scratch.Immediate impact with clear trajectory as an early hireCompetitive compensationA collegial, ambitious culture that balances innovation with discipline.

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About Us Observe.AI enables enterprises to transform how they connect with customers - through AI agents and copilots that engage, assist, and act across every channel. From automating conversations to guiding human agents in real time to uncovering insights that shape strategy, Observe.AI turns every interaction into a driver of loyalty and growth. Trusted by global leaders, we’re creating a future where every customer experience is smarter, faster, and more impactful. Why Join Us The future of customer engagement is AI-driven, with conversational automation representing a $300B market opportunity. While traditional NLP/NLU-powered solutions have fallen short, Observe.AI is leading the revolution with state-of-the-art LLM-powered Conversational AI technology. Backed by 7 years of experience and insights from 300+ customers, we’re perfectly positioned to disrupt the space and unlock massive value for enterprises worldwide. We are seeking an Implementation Manager who will be responsible for project managing, facilitating stakeholder design workshops, building out customer use-cases discovered during onboarding, and delivering virtual/onsite software training to trainer and end-user audiences. The implementation manager will work with new customers to stand up their Observe.AI programs and existing customers to expand their capabilities with the Observe.AI product suite. This role will need to quickly learn and adapt the customer's business objectives into a successful onboarding process from sales handoff to CSM transition. The ideal candidate applies their SaaS experience to driving implementation projects to completion, engaging key stakeholders to build a strong program foundation, and communicating technical and functional concepts in a clear concise manner. As a key member of our core team, you’ll play a pivotal role in implementing and launching cutting-edge Conversational AI products. You’ll work at the forefront of AI innovation, helping to build solutions that will transform how global enterprises adopt and scale AI—delivering real-time customer assistance, smarter automation, and seamless interactions. This is your chance to join an industry leader as we drive the future of Conversational AI and empower enterprises to reach new levels of efficiency and customer satisfaction. What you’ll be doing Lead a customer-facing program team through implementation involving discovery, technical setup, functional setup, and enablement training Guide and enable customers on their contact center AI journey with our software Manage client expectations, project timelines, documentation artifacts, and team resources Partner with CSMs to create value-based adoption goals that set the Customer up for a successful launch Deliver tailored customer enablement sessions across a variety of formats (e.g. live, recorded, virtual, in-person, train-the-trainer) Communicate project status, issues, and risks while escalating effectively as appropriate Manage multiple customer projects simultaneously Interact cross-functionally with Sales, Product-Engineering, and Customer Success to deliver project scope What you bring to the role 2+ years of work experience implementing B2B SaaS software Experience in a customer-facing role with clear deliverables and stakeholder management Comfort in crafting and delivering user-centered communications  Strong analytical and problem-solving skills in a software context Excellent attention to detail and time management skills Training experience is highly preferred What you can expect Competitive compensation including equity Excellent medical, dental, and vision insurance options Flexible time off  10 Company holidays + Winter Break and up to 16-weeks of parental leave 401K plan Quarterly Lifestyle Spend Monthly Mobile + Internet Stipend Pre-tax Commuter Benefits Salary Range The base salary compensation range targeted for this full-time position is $100,000 - $110,000 per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai. #LI-REMOTE

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Hey! We're team Granola 👋  If you haven't already, you should check out what we're building, and why you should work here.We’re looking for an engineer who loves building products in a fast-paced, iterative environment.In this role, you will come up with new ways to unlock value for our users using LLMs and enhance the quality and performance of our application. You’ll be talking directly with users to understand their problems and develop the features they need most. You will be part of the founding team and help unlock Granola for the next 100x users.In this role, you will:Own the development of new user-facing features end-to-end. Things like: agentic workflows, real time collaboration and lots of 0 to 1 prototypingOptimise the application for speed, scale, and reliabilityInteract with users to understand their problems and design solutionsCollaborate with a cross-functional team of engineers, product managers, designers, and other members of the team to create a cutting-edge productYour background looks something like:Engineering experience at tech and product-driven companiesProficiency with TypeScript, Node.js, and React.js (Framer Motion, Tailwind and Radix is a strong plus)Proficiency with relational databases like PostgresExperience with cloud infrastructure (we use AWS and Terraform)As a person, you…Are first and foremost a builderAre excited to work in-person from our office in London (most of the time)Love working in a startup environment (you either have experience working in a startup or are really drawn to the zero-to-one phase)Value working with people who are kind, ambitious, and pragmaticHave an interest in AI/ML (direct experience not required)Thrive in a fast-paced environment with evolving requirements and prioritiesAbout the opportunityWe are living in the most exciting time for tool builders since Engelbart's demo in 1968. We want to assemble the best crew to build this future together, here in London. Our compensation philosophy is to pay slightly above market on salary and above market on equity.We do our best work in person, and so our team spends time together five days per week in our new, bright, and spacious office at Old Street. We are happy to offer relocation assistance to candidates who'll be moving to London to join us.Lastly, we think amazing talent comes from all kinds of life journeys and experiences. If what is written above speaks to you, whether you look like a fit on paper or not, please reach out.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll doDesign and deliver production-grade AI agents: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.Drive the Agent Development Life Cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency.Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.Example projectsThese are some examples of projects that engineers on our team have worked on recently:Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churnDevelop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendationsCreate generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog!Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent developmentExperiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customersWhat you'll bringExperience building and scaling end-to-end production systemsStrong technical problem-solving skills, especially in fast-changing, ambiguous environmentsA builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and shipComfort working directly with customers to understand their needs and solve real-world problemsExcellent communication skills - clear, direct, and persuasive across technical and non-technical audiencesEven better...Experience building or deploying AI/LLM systems in productionHave been a founder or founding engineer - you know what it means to balance craft, ownership, and speedFamiliarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineeringPrior experience with React, TypeScript, and/or GoPrevious roles where you interfaced with customers or led technical projects with external stakeholdersOur valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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Head of Security – Infinity ConstellationAbout InfinityInfinity Constellation (infinityconstellation.com) builds, incubates, and scales AI-enabled services companies across multiple complex and regulated industries. Our companies combine machine intelligence with human expertise to deliver next-generation solutions that redefine what professional services can be.Role OverviewInfinity is seeking a Head of Security to design and oversee the security strategy across the entire portfolio. This leader will establish Infinity’s foundational security program, implement scalable processes and controls, and ensure our companies consistently meet and exceed client security and compliance expectations.The role requires both strategic vision and hands-on execution. You’ll be responsible for building the frameworks that unify Infinity’s security posture, while also diving deep into individual portfolio companies to stand up policies, remediate gaps, and directly support client/vendor diligence reviews. Over time, this function may evolve into a dedicated security services offering within Infinity’s shared services ecosystem.Key ResponsibilitiesSecurity Program LeadershipBuild Infinity’s portfolio-wide security policies, standards, and controls.Own certification/compliance programs (SOC 2, ISO 27001, HIPAA GDPR/CCPA alignment, etc.).Maintain a central library of security documentation to support sales and client diligence. Governance, Risk & ComplianceDevelop and oversee vendor/third-party risk management.Implement data classification, retention, and destruction policies.Ensure consistent incident response, access review, and audit cadences across companies. Hands-On Company EngagementPartner with engineering and leadership teams at portfolio companies to establish secure practices from day one.Lead security diligence with client and vendor teams, ensuring successful outcomes.Standardize secure development lifecycles, access management, and cloud security baselines. Incident Response & ContinuityImplement an incident response framework with clear escalation paths.Run tabletop exercises, penetration testing, and remediation tracking.Build continuity/disaster recovery standards that scale across companies. Enablement & CultureLead company-wide security training and awareness programs.Build a “secure by default” culture that supports, not slows, innovation.Serve as the trusted advisor to leadership on risk, compliance, and client security expectations. Qualifications7+ years in security leadership roles, ideally spanning both startup and enterprise contexts.Track record of building and running SOC 2, HIPAA, ISO 27001, or equivalent programs.Experience in client facing roles interfacing directly with stakeholders and client security teams as a part of the sales processStrong technical understanding of cloud security (AWS/GCP), encryption, identity and access management, and secure SDLC practices.Experience successfully navigating client/vendor security diligence processes.Ability to operate both strategically (designing systems for scale) and tactically (closing gaps in fast-moving environments). What Success Looks LikeFirst 3 MonthsHigh priority portfolio companies have established security programsHigh priority portfolio companies have established security documentation for use by client sales teamsFirst 12 MonthsA portfolio-wide security program is established and documented.Core certifications (SOC 2 Type I/II or equivalent) underway or complete.Centralized security documentation package (“deal room”) created and in use.Client/vendor diligence reviews consistently passed with no material gaps.Security becomes a competitive advantage across the Infinity portfolio.

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Lead Designer – Infinity DesignAbout Infinity DesignInfinity Design is an AI-powered Digital Design Agency, and a business unit of Infinity AI - a holding company that scales AI-driven businesses in essential service sectors. Infinity AI is a joint venture between Infinity Constellation in NYC and Tier 1 regional MENA investors.We are seeking a Lead Designer for the launch of our AI-powered Digital Design Agency, Infinity Design. We’re looking for a sharp, versatile Lead Designer (3–6 years’ experience) who can both do and direct. You’ll own brand systems, digital assets, and web design while guiding supporting designers to deliver premium, on-time work. You’re fluent in Figma, strong on visual systems, and comfortable translating strategy into clean, compelling design. What you’ll doDesign: Create and refine branded assets across web, social, decks, and paid media. Systems: Build/maintain brand systems, style guides, and component libraries in Figma. Web: Lead page design and UX flows; produce wireframes; (bonus) build in Webflow/Framer. Quality: Uphold craft standards (type, layout, colour, accessibility); ensure pixel-perfect output. Direction: Break down work, delegate appropriately, and review junior output with clear feedback. Storytelling: Craft presentations, case studies, and guidelines that sell the work. Ops: Keep files organised, versioned, and consistent; work within tickets/briefs; hit dates. Collab: Partner with strategy, content, and the Director to align goals, scope, and timelines. What you’ve done3–6 years in agency, in-house, or freelance delivering multi-channel design. Advanced Figma (auto-layout, variants, responsive, prototyping). Strong grasp of visual fundamentals (type, grid, hierarchy, colour, motion sensibility). Experience creating brand identities and extending systems into digital. Comfortable with wireframing and designing for the web. Organised, deadline-driven, pragmatic—you ship excellent work on time. Nice to haveWebflow, Framer, After Effects/Lottie, basic motion. Canva/Notion for internal comms. AI fluency (e.g., Midjourney/Firefly for exploration, ChatGPT for ops). Basic analytics/AB testing literacy to inform iterations. Tools you’ll touchFigma, Adobe CC, Jira/Asana (tickets), Google Workspace, Notion, Webflow/Framer (bonus), AI tools. How we’ll measure success (first 90–180 days)On-time delivery rate ≥ 95% for owned tickets. Brand systems documented and adopted across 2–3 client accounts. Junior designers deliver to spec after your reviews with <2 revision cycles on average. Client CSAT ≥ 4.5/5 on design quality.What We OfferA once-in-a-decade opportunity to build Infinity MENA’s Design business from scratch.Immediate impact with clear trajectory as an early hireCompetitive compensationA collegial, ambitious culture that balances innovation with discipline.

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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 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.OpportunityWe’re seeking a Director of Product Design who thrives at the intersection of hands-on design work and strategic leadership. In this role, you’ll lead by doing — setting a high craft bar while also coaching and scaling a growing team of talented designers. This is not a pure management role; we’re looking for someone who still loves to get into design and prototyping tools and shape product experiences directly, especially for complex or high-impact initiatives.You’ll partner closely with Product, Engineering, and Research leaders to define our user experience vision, drive design execution across the product surface area, and help build a strong design culture that can evolve with our company’s growth.LocationThis role is based in San Francisco, where many of our customers and partners are located. Being close to them helps us move quickly and stay connected to their needs. While the role is anchored in our San Francisco office, Deepgram continues to be remote-first and we don't expect you to be in the office every day. We believe a mix of in-person and remote work allows us to share context and build productively.What You’ll DoLead and contribute to high-priority design initiatives — from discovery through delivery — while mentoring designers across the team.Set a clear, compelling vision for design and user experience across our products, and guide teams toward it through critique, collaboration, and craft.Work directly with cross-functional partners in Product, Engineering, and Research to shape strategy and roadmap decisions.Hire, develop, and retain a diverse, high-performing design team; foster a culture of feedback, rapid iteration, and continuous learning.Elevate design quality and consistency through thoughtful systems, documentation, and process improvements.Represent the voice of design at the leadership level, advocating for user needs and design impact in key product decisions.You’ll Love This Role If YouLove designing and still want to contribute meaningfully as an IC while leading others.Have experience in fast-paced, growth-stage environments where you’ve helped launch and scale design teams, systems, or product lines.Think in systems and flows, not just pixels — and know how to balance short-term delivery with long-term vision.Are an exceptional communicator and collaborator, especially when it comes to cross-functional work.Enjoy balancing ambiguity and autonomy with structure and clarity for your team.It’s Important to Us That You Have8+ years of experience in product design, with at least 2-3 years in a leadership capacity.Experience creating impact with user growth and engagement type workComfort with talking to users, analyzing data, and studying successful productsDemonstrated success in mentoring designers and scaling teams without losing design quality or velocity.Strong portfolio showcasing user-centered product thinking, interaction design, and visual polish.It Would Be Great If You HadExperience solving for B2B and consumer audiences. Bonus points for experience designing for developers.Experience balancing self-service and enterprise customer needsBacked 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 Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary We are seeking a German speaker Legal Counsel to join our Legal team specializing in Contracts & Commercial matters with a primary focus on the DACH region (Germany, Austria and Switzerland). for the DACH region. As a member of our legal team (based in Paris), you will be instrumental in:• Supporting our business in drafting our contracts, agreements and terms to enable deal making and revenue generation, in particular (but not exclusively)  in the DACH region.• Drive contracts negotiations and help contracts adaptation to the evolving AI regulation and compliance The role is based in Paris and reports into our senior commercial counsel. The legal team currently comprises 12 persons across Paris and Palo Alto, covering a spectrum of competences across compliance, IP, contracts and corporate. What you will do • Draft and provide strategic advice on a wide range of contracts, including but not limited to AI-related service agreements.• Negotiate (markup, arguments, strategies) such contracts with suppliers, partners, customers and other stakeholders.• With the support of other team members in their respective fields of expertise, stay updated on the latest products and AI-related legal and regulatory developments, including when coming from customers’ fields, and provide guidance to their translation into contract adaptation and negotiation.• Collaborate with cross-functional teams in close partnership with technical and business teams to ensure legal and regulatory compliance in the deployment of AI technologies.• Provide training and support to the business on legal and compliance matters related to AI, and on contract negotiation.• Help on other legal topics as needed (labor law, corporate, competition law, etc.) About you Background: Master degree in law, a bar admission is a plus, as well as an experience in a fast-growing environment.Experience: a minimum of 4-6 years of relevant legal experience, preferably in a related technology or AI-focused environment involving contract negotiation.Languages: Fluency in German and English is required; French is a plus.Knowledge of Artificial Intelligence: An understanding of artificial intelligence technologies and their applications is essential. Good knowledge of the relevant area of law, such as data privacy, intellectual property, contract law and liability, regulatory and compliance.Analytical Skills: Ability to analyze complex legal and technical issues related to AI and to identify potential legal risks and solutions is important. Candidates should be detail-oriented and have strong problem-solving skills.Communication Skills: Excellent written and verbal communication; Strong ability to present complex legal concepts in a clear and understandable manner. Business oriented.International mindset: An international experience is a plus.Adaptability: Given the rapidly evolving nature of AI technologies and the legal landscape surrounding them, candidates should be adaptable and willing to continuously learn and update their skills and knowledge. Ability to work independently and in a team-oriented, collaborative environment. Proactive, flexible, and able to manage multiple priorities in a fast-paced environment. Ethical Awareness: A strong understanding of ethical considerations related to AI, such as fairness, transparency, accountability, and bias mitigation, is important. Benefits 💰 Competitive cash salary and equity🥕 Food : Daily lunch vouchers🥎 Sport : Monthly contribution to a Gympass subscription 🚴 Transportation : Monthly contribution to a mobility pass🧑‍⚕️ Health : Full health insurance for you and your family🍼 Parental : Generous parental leave policy🌎 Visa sponsorship

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role Join the innovative team at xAI, where we're redefining AI-driven media experiences for Grok users worldwide. As a Backend Engineer, you'll build and scale robust systems that power immersive, multi-modal media interactions, leveraging cutting-edge AI technologies. Your work will drive seamless, engaging user experiences, harnessing the potential of advanced models to captivate and delight millions. If you're passionate about tackling complex challenges and creating innovative backend solutions for AI-powered media, this is your chance to shape the future. What You’ll Do Design and implement scalable backend systems to support Grok's AI-driven media experiences, ensuring high performance and reliability. Collaborate with cross-functional teams, including frontend engineers and AI researchers, to deliver captivating, media-rich features. Build and optimize large-scale data pipelines to process and analyze multi-modal data, fueling continuous improvement of Grok's media capabilities. Architect robust infrastructure to handle real-time media interactions, enabling seamless user experiences at a global scale. Own end-to-end development of backend solutions, from system design to deployment and monitoring, delivering production-ready code with precision. Who You Are A driven problem-solver who thrives on turning innovative ideas into scalable, high-impact solutions. Proficient in Python or Rust, with a knack for writing clean, efficient, and maintainable code. Experienced in building backend systems for consumer-facing products, with a focus on performance, scalability, and reliability. Skilled in designing and managing large-scale data infrastructure to support AI-driven applications, particularly in media or multi-modal contexts. Passionate about AI and media technologies, with a commitment to creating user-focused products that inspire and engage. Proven ability to deliver production-ready solutions to millions of users, ensuring robustness and seamless performance. Tech Stack Python Rust Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. Systems hands-on: Demonstrate practical skills in a live problem-solving session. Project deep-dive: Present your past exceptional work to a small audience. Meet and greet with the wider team. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USD Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.Why Cerebras?   Here at Cerebras, we have built the world’s first wafer-scale compute platform and software stack, purpose-designed to accelerate generative AI by over 10-20x what is possible on legacy processors today. AI developers are limited today by the constant tradeoffs between model quality, speed, and cost, and Cerebras’ mission is to remove these limitations to unlock AI creativity and potential.   Unmatched speed. Our third-generation Wafer-Scale Engine (WSE-3) delivers sub-ms inference latencies and training throughput that eclipses GPU clusters by over 10x. Think instant code generation, instant design creation, agents that interact seamlessly and responsively to their users and environment.   Full-stack innovation. From custom silicon to compilers, model research, and turnkey cloud inference, we are innovating and integrating at every layer so customers can focus on breakthroughs, not bottlenecks.  Real-world impact. Cerebras customers are transforming industries across healthcare, energy, science, government, startup ecosystems, and more. We’re proud to be serving customers spanning the Fortune 500, government labs, and AI-native unicorns.  Backed to win. Cerebras is supported by top investors, like Benchmark, Altimeter, Eclipse, and Coatue.  Fearless and fun culture. We’re a close-knit, creative team that tackles all challenges with optimism and collaboration. We’ve already productized the world’s largest chip by over 50x. How hard can the next problem be? :)    About The Role  As a Forward Deployed Product Manager at Cerebras, you are the tip of the spear for our company. You’ll embed with our most strategic customers, from AI-native startups shipping 0-to-1 products to Fortune 500 enterprises transforming their industries, to translate and guide their ambitions into blazing-fast, production-ready AI solutions.  Think of yourself as part product leader, part technical expert, and part GTM strategist:  Own the outcome – From first whiteboard session to scaled deployment, you are directly accountable for customer success, adoption, and expansion.  Design for speed – Craft PoCs that showcase Cerebras’ latency super-powers, advise on model selection / fine-tuning, and benchmark end-to-end performance.  Navigate complexities – pitch new ideas, align internal and customer stakeholders, unblock hurdles, and convert customer interest into long-term, thriving partnerships.  Shape the roadmap – Distill customer insights into structured product feedback requirements, influencing future software features and chip and cluster designs.   Successful candidates will be passionate about creative problem solving and idea generation, learning and embedding into new domains, building relationships, and delighting customers.   You’ll have the opportunity to learn about and enable some of the most impactful AI products in the world, with industry-leading organizations across each vertical. You will get to work closely with a tight-knit product team, in a fast-moving but supportive environment. Your scope and career here will be driven by your passion, ability, and impact – not by your seniority or prior experience.  Key Responsibilities  You will:  Be the product leader on our most critical lighthouse accounts, each pushing the limits of what’s possible with GenAI.   Engage directly with companies from AI Natives at the cutting edge to large enterprises transforming their industries, to deeply understand their needs, goals, and requirements.  Co-architect solutions— partner with Solutions Architects, Account Managers, and our Engineering and Product teams to design tailored solutions that leverage our 10x faster speed advatanges to transform customer applications.   Directly advise on customers’ long-term AI strategies  Become a go-to-market ninja. You will be co-owning the end-to-end customer journey, working across Sales, Solutions Architects, Marketing, Engineering, and Product teams to convert interest into long-term usage and expansion. As part of this, you will also be continuously helping to improve and optimize our processes.   Identify new collaboration opportunities and use cases within accounts to expand Cerebras’ partnership with them.  Drive the product roadmap, working closely with engineering, ML, and other product teams across the company to bring your deep understanding of customer requirements to drive future feature development.   Skills & Qualifications   Minimum Requirements  Deep passion for creative problem solving and customer success.  Strong technical background (CS/EE background, or prior experience as a SWE), and familiarity with LLMs, inference needs, agents, etc.   5+ years of experience as a product manager, currently at or above the level of Senior PM. Ideally, on a developer-facing product.   Excellent ability to communicate with customers and navigate complex, high-stakes scenarios. Ability to thrive in a fast-paced, dynamic environment.  An entrepreneurial sense of ownership of overall team and product success, and the ability to make things happen around you. A bias towards getting things done, owning the solution, and driving problems to resolution.  Preferred Requirements  Experience with LLM serving stacks (vLLM, TensorRT-LLM, TGI), agent frameworks, etc.  Interest in developer platforms and tooling. MBA of equivalent professional experience. Location   Hybrid at our Sunnyvale, CA or Toronto ON, Canada preferred. Remote possible for candidates willing to travel 1-2x per quarter.   Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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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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FEQ226R335 Databricksは、お客様がAIプラットフォームを活用して、世界で最も難しいなデータに関する課題を解決できるよう支援することをミッションとしています。デリバリーソリューションアーキテクト（DSA）は、この重要なミッションにおいて、セールスおよびフィールド・エンジニアリングチームと協力し、お客様のDatabricksプラットフォームの導入と利用拡大を加速させる重要な役割を担います。DSAとして、お客様がすでに導入を決定したDatabricksのワークロードについて、お客様がプラットフォームから最大限の価値と投資対効果を得られるよう、技術的な指導とサポートを提供し、お客様の成功を確実にします。特に、複雑な課題を抱えるお客様に対して、より重点的かつ技術的な責任を持って支援を行います。 このポジションは、技術とビジネスの両面を兼ね備えたハイブリッドな役割です。担当するお客様とユースケースにおいて、成長を推進します。ビジネス面では、お客様の意思決定者と関係を構築し、他の専門チームと連携しながら、Databricksが実行できる計画や戦略を策定・推進します。技術面ではDatabricksの全製品における、お客様導入後の技術的なリーダーとなります。組織内のあらゆるレベルの人々と、技術的な専門知識を活かしてコミュニケーションをとる能力が求められます。本ポジションは、日本のフィールド・エンジニアリング・ディレクター/Technical GM の直属となります。 あなたがもたらす影響 :  ソリューション・アーキテクトと連携し、重要顧客におけるユースケースの全体的な需要計画を把握します。 Databricksの主要なユースケースにおいて、Technical Win後のアカウント戦略と実行計画を主導します。 複数の営業チームや社内関係者と連携し、特定のユースケースや顧客に対する技術的な責任者となります。お客様がDatabricksの導入を決定したワークロードについて、不確実性を取り除き、オンボーディング、有効化、成功、本稼働、そして健全な利用を推進します。 お客様が合意したユースケースの本番稼働や運用に関する技術的な問題や質問に対し、最初の窓口として対応します。特に、大規模で複雑な組織においては、複数のユースケースを担当することが多くあります。 社内の専門家（共有サービス、ユーザー教育、オンボーディング／技術サービス、サポートなど）と連携し、自身の業務範囲や専門知識を超えるタスクを適切に割り振ります。必要に応じて、より専門的な技術エキスパートにもエスカレーションを行います。 主要なユースケースを本番環境へ迅速に移行させるための視点を構築し、プロフェッショナルサービスと連携して提案書の作成を進めます。 Databricksの製品・エンジニアリングチームと連携し、新製品のイノベーション、プライベートプレビュー、アップグレードのニーズに対応します。 以下のワークストリームをカバーするため、顧客に接するすべての技術職およびチームの活動を網羅する実行計画を策定します。 本番環境へ移行する主要なユースケース 有効化／ユーザー成長計画 製品導入（Databricksのレイクハウス・ビジョンを導入するための戦略と活動） 現在の投資に対するオーガニックなニーズ（例：クラウドコスト管理、チューニング＆最適化） エグゼクティブおよび運用ガバナンス 利用状況や顧客の状態に関するKPIレポート（投資状況、重要なリスク、製品導入、ユースケースの進捗状況など）を、Technical GMに定期的に報告します。 必要な条件/経験: データおよびAI領域における技術的なプロジェクト/プログラムのデリバリーに責任を持ち、顧客との技術的な議論や設計の選択に貢献した8年以上の経験。 Python、SQL、またはScalaでのプログラミング経験。 顧客と直接対面するプリセールス、技術アーキテクト、カスタマーサクセス、またはコンサルティングの経験。 分散データシステムに関連するソリューション・アーキテクチャの理解。 特定のプロジェクト成果物に対し、ビジネス価値と成果を結びつける方法の理解。 アカウント、ステークホルダー、リソース管理の責任を含む技術的なプログラムまたはプロジェクト管理の経験。 顧客企業のシニア・エグゼクティブとの間で、複雑かつ重要なエスカレーションを解決した経験。 自由形式のディスカバリー・ワークショップの実施、戦略的ロードマップの作成、ビジネス分析、複雑なプログラム/プロジェクトのデリバリー管理の経験。 目標（Quota、Goalsなど）に対する達成実績。 Databricksについて DatabricksはデータとAIの企業であり、全世界で10,000以上の組織が、Comcast、Condé Nast、Grammarly、Fortune 500の50%以上を含む、Databricks Data Intelligence Platformを利用してデータ、分析、AIを統合し民主化しています。Databricksはサンフランシスコに本社を置き、世界中にオフィスを展開しており、Lakehouse、Apache Spark™、Delta Lake、MLflowのオリジナルクリエイターによって設立されました。詳細については、X、LinkedIn、FacebookでDatabricksをフォローしてください。About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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About Mistral At Mistral we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation, with teams distributed between Europe, the USA and Asia. We are creative, low-ego and team-spirited. At Mistral, we develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives. All while releasing frontier models open-source, for everyone to try and benefit. Mistral is hiring experts in the training of large language models and distributed systems. Join us to be part of a pioneering company shaping the future of AI. What will you do *Research and develop novel methods to push the frontier of large language models*Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)*Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale*Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact About you * An expert in speech input/output methodologies (specific to audio)*You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)*You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)*You have high engineering competence. This means being able to design complex software and make it usable in production*You are a self-starter, autonomous and a team player Now, it would be ideal if* You have experience working with large-scale speech-language models*You have hands-on experience with training large transformer models in a distributed fashion*You can navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment *You have a strong publication record in a relevant scientific domain Note that this is not an exhaustive or necessary list of requirements. Please consider applying if you believe you have the skills to contribute to Mistral's mission. We value profile and experience diversity. Benefits France💰 Competitive cash salary and equity🥕 Food : Daily lunch vouchers🥎 Sport : Monthly contribution to a Gympass subscription 🚴 Transportation : Monthly contribution to a mobility pass🧑‍⚕️ Health : Full health insurance for you and your family🍼 Parental : Generous parental leave policy🌎 Visa sponsorship UK💰 Competitive cash salary and equity🚑 Insurance🚴 Transportation: Reimburse office parking charges, or 90GBP/month for public transport🥎 Sport: 90GBP/month reimbursement for gym membership🥕 Meal voucher: £200 monthly allowance for its meals💰 Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)