AI Data Science & Analytics Jobs

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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 Do:Lead security initiatives for Sierra’s Conversational AI Platform spanning data protection, identity and access management, infrastructure hardening, change management, operational resilience, and vulnerability management.Bring structure, visibility, and accountability to critical security programs, aligning them with our growth and customer trust goals.Shape compliance readiness by aligning with frameworks such as ISO 42001, ISO 27001, PCI DSS, SOC 2, HIPAA, and the EU AI Act—translating these into actionable controls and scalable processes.Build a security-first culture, designing awareness programs that empower every team member to understand and own their role in protecting Sierra and our customers.Embed trust by design, partnering with Product, Platform, and Agent Engineering to bake security, privacy, and responsible AI practices directly into how our stack is built and deployed.Who You’ll Work With:You’ll collaborate across a wide range of teams including Product, Platform Engineering, Agent Development, Legal, Operations, Sales, and GTM to embed security and compliance across our tech stack. Your role bridges technical execution, business momentum, and evolving regulatory demands ensuring our trust posture scales with both innovation and expectation.What You’ll Bring:Security & Privacy Expertise: Deep understanding of first principles in security and privacy plus the judgment to apply them practically in fast-moving, AI-native, data-rich environments.Framework Fluency: Strong command of standards like ISO 27001, ISO 42001, PCI DSS, and the EU AI Act, and the ability to drive alignment without dragging velocity.Product Intuition: You understand how our product works, how data flows, how agents behave, and how infrastructure scales. You apply that knowledge to identify risk, shape architecture decisions, and guide controls.Adaptability: You’re energized by uncertainty. You’re comfortable building in motion, adjusting as priorities shift, and solving ambiguous problems at speed.Strong Communication: You can tell a story that resonates with engineers and customers alike. You can explain risks, trade-offs, and decisions with clarity and credibility.Even BetterExperience operating in regulated and high-trust sectors such as tech, fintech, healthcare, or AI especially where customer expectations around security, privacy, compliance, and transparency are high.Hands-on cloud security knowledge (AWS, Azure, GCP) and familiarity with compliance automation tools that help scale GRC in a fast-paced environment.Working knowledge of core security domains including Identity & Access Management, Product Security, Data Security, and Infrastructure Security.A Bachelor’s or Master’s degree in Information Security, Computer Science, Information Management, or a related technical or risk-focused field.Why Join Us?You’ll be at the intersection of technology, security compliance, and AI innovation helping to shape how trust is built in one of the fastest-moving fields today. At Sierra, we learn fast, move faster, and believe that compliance should unlock possibility. If you're energized by ambiguity, excited to build from first principles, and motivated to turn security into a strategic advantage, this role is for you.Our 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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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.We’re looking for a versatile Field Application Engineer (FAE) who thrives at the intersection of software and hardware. In this role, you’ll partner with customers to design, deploy, and optimize solutions that combine high-performance compute systems with next-generation AI/ML applications. This is a hands-on, customer-facing position where your technical expertise will directly shape real-world impact. This role is hybrid, based out of Cyprus. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.   Who You Are Experienced Field Application Engineer, Solutions Architect, or Technical Specialist with a background spanning both hardware and software. Skilled programmer in Python with working knowledge of C++ and CUDA for parallel processing. Strong understanding of AI/ML frameworks such as PyTorch and TensorFlow, with experience deploying and optimizing models. Excellent communicator who can translate complex technical concepts into actionable insights for customers.   What We Need Technical partner for customers designing AI/ML solutions, including Generative AI, LLMs, vision, and language models. Expertise in hardware platforms (CPUs, GPUs, accelerators) to support installation, configuration, and performance optimization. Ability to troubleshoot issues across hardware, firmware, drivers, and software in Linux environments. Contributor to customer success by training users, sharing feedback with engineering, and staying current on AI and hardware advancements.   What You Will Learn How leading-edge AI models and high-performance hardware are being deployed in real-world environments. Ways to integrate customer feedback into product development, influencing the next generation of compute and AI solutions. Best practices for scaling AI workloads using virtualization, containerization, and job scheduling tools. The latest industry trends in both hardware acceleration and AI/ML frameworks—and how to apply them in customer engagements.   Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.  Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).   These requirements apply to persons located in the U.S. and all countries outside the U.S.  As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 500+ customers in 50+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewAs a Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects across our various product lines. You will work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products.What You'll DoRetrieval over peta-byte scale documentsOrganizational-level interfaces to collaborate with AIManaging dedicated GPU capacity across 5+ regions1000-step planning agents that help take companies publicGovernment-level security for the world's most sensitive mattersEvaluating LLMs across a 10k+ leaf taxonomy of tasksInternet-scale data collection from over 50+ jurisdictionsWhat You Have6+ YoE (post-BS/MS) in a product focused full-stack software engineering role.Track record of building fast-growing SaaS products by leveraging PWA technologies.Track record of shipping highly intuitive products, strong attention to detail.Experience building backend platforms that can support multiple product lines.Strong programming skills and general Computer Science knowledge.Grit - experience working at early-stage startups is a plus.Compensation Range$220,000 -$280,000 USD#LI-ML1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 500+ customers in 50+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewAs a Backend Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects across our various product lines. You will work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products.What You'll DoRetrieval over peta-byte scale documentsOrganizational-level interfaces to collaborate with AIManaging dedicated GPU capacity across 5+ regions1000-step planning agents that help take companies publicGovernment-level security for the world's most sensitive mattersEvaluating LLMs across a 10k+ leaf taxonomy of tasksInternet-scale data collection from over 50+ jurisdictionsWhat You Have6+ years (post-BS/MS) of backend-focused software engineering experience on product-centric teamsTrack record of building fast-growing SaaS products by leveraging PWA technologiesTrack record of shipping highly intuitive products, strong attention to detailExperience building backend platforms that can support multiple product linesStrong programming skills and general Computer Science knowledgeGrit - experience working at early-stage startups is a plusCompensation Range$220,000 - $280,000 USD#LI-ML1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 500+ customers in 50+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewAs a Staff Frontend Software Engineer at Harvey, you’ll play a pivotal role in shaping the foundation of our product platform while directly building user-facing features for some of the world’s leading law firms and enterprise customers. This team owns and operates the platform layer that enables secure, reliable, and flexible experiences for our customers including notifications, permissions and feature flag infrastructure. We also build enterprise-grade collaboration product experiences for law firms.You will design and own systems that not only serve as critical infrastructure for the rest of the company, but also directly impact how our users engage with Harvey’s AI-powered legal tools. This role is ideal for engineers who are excited by the opportunity to move between deep platform thinking and hands-on product iteration.What You'll DoDesign and build foundational infrastructure including authentication, permissions, feature flagging, notifications, and document management integrationsBuild and evolve Harvey’s internal product platform, accelerating development across multiple product lines and engineering teamsLead development of enterprise-facing features, such as secure multi-party collaboration, cross-organization workflows, and robust admin controlsMaintain high standards for security, privacy, and system reliability, particularly in handling sensitive legal dataCollaborate cross-functionally with product, AI, design, and GTM teams to deliver delightful, enterprise-ready experiencesWhat You Have6+ years (post-BS/MS) of frontend-focused software engineering experience on platform and/or product-oriented teamsExperience working across the stack to ship user-facing features with measurable impactStrong knowledge of distributed systems, REST/gRPC APIs, databases, and scalable service architecturesFamiliarity with or interest in enterprise SaaS patterns, such as role-based access control (RBAC), feature flag systems, and third-party integrationsTrack record of shipping highly intuitive products, strong attention to detailStrong programming skills and general Computer Science knowledgeCompensation Range$220,000 -$280,000 USD#LI-ML1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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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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About Bland At Bland.com, our goal is to empower enterprises to make AI-phone agents at scale. Based out of San Francisco, we're a quickly growing team striving to change the way customers interact with businesses. We've raised $65 million from Silicon Valley's finest; Including Emergence Capital, Scale Venture Partners, YC, the founders of Twilio, Affirm, ElevenLabs, and many more.About the Role As a Senior Infrastructure Engineer at Bland, you'll help us to build the backbone that enables millions of AI-powered phone conversations. You're not just keeping servers running, you're architecting distributed systems that handle real-time voice processing, scale ML inference, and integrate with enterprise telephony infrastructure. Your work directly determines whether our platform can handle business-defining call volumes for our customers, or leaves them with dead air.What You'll DoContribute to the designing of scalable architecture: Build distributed systems using Kubernetes that handle high-volume, real-time voice processing with strict latency and reliability requirements.Build and Support ML infrastructure: Create and optimize the infrastructure supporting our AI models, from training pipelines to real-time inference serving across multiple regions.Integrate with telephony: Maintain robust connections between our platform and complex enterprise phone systems, SIP trunks, and VoIP infrastructure.Recognize Flaws, Control for them: We’re building a new type of architecture that takes something from Column A, and Column B. We’re never going to get it perfect, so you’ll be helping us keep a look out for what we need to solve.Ensure reliability: Implement monitoring, alerting, and incident response systems that keep our platform running 24/7 with enterprise-grade uptime.Scale with growth: Anticipate and solve scaling challenges before they become problems—our call volume grows exponentially and infrastructure needs to stay ahead.Security and compliance: Implement security best practices and compliance requirements for enterprise customers in regulated industries.Interesting Problems to OwnOld-Meets-New: Telephone calls have been around for awhile. Now with an explosion in modern technologies - comes interesting new ways to wrangle old-school protocols and techniques. You’ll have the space to be creative and really own a new emergent type of architecture.Sizable Call Volumes requires new approaches: Understand and deeply invest in ensuring that we match any amount of customer’s customers call volume! We need unique solutions, that you’ll help us discover along the way.Streaming Architectures: On top of building to support our APIs, you’ll also be building to helping maintain the reliability, failover, and scaling of our important stream-based traffic.What Makes You a Great FitInfrastructure expertise: 5+ years building and scaling distributed systems, with deep knowledge of cloud infrastructure (AWS/GCP preferred).You “get” the fundamentals, and beyond: For example, you can casually tell someone how TLS works beyond buzzwords, do a quick sketch of how different load balancing strategies work, or even tell us the obscure thing you fell asleep reading about last night. There isn’t a blank stare, there’s an excitement to share.Real-time systems experience: You've built systems that handle high-throughput, low-latency workloads, streaming, real-time processing, or similar.Startup mentality: You've worked at fast-growing companies where you wear multiple hats and solve problems as they come up.You’re opinionated, but you’re not alienating: You accept that opinions drive progress, but you don’t intend to break into alienating discussions at the risk of not finding compromises for our customers.You’re familiar with some tools/components like: Cloudflare, HAProxy, Go, TypeScript, Datadog, Terraform, Docker, Kubernetes, Nvidia Hardware (nvlink for example), and anything in between.Bonus Points If You HaveExperience with telephony systems (SIP, VOIP, WebRTC.)Background in ML infrastructure, model serving, or GPU computing.Experience with real-time audio/video processing.Benefits and Pay:Healthcare, dental, vision, all the good stuffMeaningful equity in a fast-growing companyEvery tool you need to succeedBeautiful office in Jackson Square, SF with rooftop viewsIf you don't have the perfect experience that is fine! We're a bunch of drop-outs and hackers. Working at a start-up is really hard. We work a lot and we figure things out on the fly.Compensation Range: $120,000-$200,000

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At Sanity.io, we’re building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create, and automate content the way their business works, accelerating digital development and supercharging content operations efficiency. Companies like SKIMS, Figma, Riot Games, Anthropic, COMPLEX, Nordstrom, and Morningbrew are using Sanity to power and automate their content operations.Your team ensures that enterprise customers are successful and happy using Sanity. This means working closely with technical leaders at our customers to align their strategic goals with implementation details; facilitating brainstorming sessions between editors, designers, and developers; and helping developers make decisions for their unique business needs. In this role you will take ownership of your customer relationships and drive both internal and external conversations.  You'll also have the opportunity to learn more and develop expertise on the people side of technology.What you would do:Lead onboarding workshops that are customized to each customer’s needs and background.Proactively develop relationships with technical and product stakeholders at our customers.Meet regularly with technical customers to demonstrate how new features work for the customer’s specific needs, answer their questions, and help them plan their Sanity implementation.Work with account managers to develop expansion opportunities at existing customersSupport the new account sales cycle through technical workshops and proof of concept developmentCreate and share examples to help customers understand concepts and implement more quicklyDevelop and maintain guides and learning modules to address common topicsDevelop and maintain plugins for common integrations and implementation patternsRepresent clients’ requests and requirements to the internal product teamWork with Support Engineering to work through customer challenges and unblock specific scenariosSupport marketing and product research teams to connect  with relevant customers and planning events and webinars About you:Based in: Remote in the United States or Canada3-5 years of experience in a software development roleAdvanced experience with at least one of the following frameworks: React, Vue, Angular, AstroFamiliar with backend architecture and SaaS platform integrationsExperience with one of the following:Implementing headless CMSImplementing headless ecommerce As a Solution Engineer or Solution Architect at a developer-focused SaaSOutstanding communication skills, both verbally and in writingProven experience developing solutions with customersProblem solving skills with a result oriented mindsetExceptional organizational and time management skillsStructured with a strong attention to detailsBonus: experience in a B2B customer-facing role, such as consulting or account managementBonus: you have used Sanity in production What we can offer:A highly-skilled, inspiring, and supportive teamPositive, flexible, and trust-based work environment that encourages long-term professional and personal growthA global, multi-culturally diverse group of colleagues and customersComprehensive health plans and perksA healthy work-life balance that accommodates individual and family needsCompetitive salary and stock options program Who we are:Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business.Sanity recently raised a $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years.You can only build a great company with a great culture. Sanity is a 200+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here!Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity.

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About ElevenLabsElevenLabs is a research and product company defining the frontier of audio AI. Millions of people use our technology to read articles, voice over videos, and restore voices lost to disability. Leading developers and enterprises worldwide use ElevenLabs to build intelligent agents for support, sales, and education.We launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing the company at $3.3 billion. By September 2025, that valuation doubled to $6.6 billion as we surpassed $200 million ARR in under three years.Our mission is to build the most important audio AI platform in the world, solve AI audio intelligence, and make information accessible in any voice, language, or sound.Our core offerings are our Creative Platform and the Agents Platform, powered by proprietary Text to Speech, Speech to Text, and conversational AI models.We are just getting started. If you want to work hard and create lasting impact, we would like to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location.What we offerInnovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.About the role Productions is the 'done for you' managed services wing of ElevenLabs made for creators and media businesses. We bring together our AI audio tools and human experts to unlock human-edited dubs, audiobooks, and more in 15+ languages directly on the ElevenLabs platform. Here are a few recent projects Productions has helped bring to life:Dubbing for some of the world's biggest creators (DudePerfect, Lex Fridman, Andrew Huberman) and media businessesAudiobook production for leading publishers and digital storytelling platforms Voice creation, sound design, and other audio engineering services for ElevenLabs' largest customersYou can learn more about Productions here: https://elevenlabs.io/productionsAs a Production Manager, you drive the success of Productions for one or multiple language teams, including:Onboarding and training linguists and other audio professionals (Producers) to use the ElevenLabs platformBuilding quality control and monitoring systems for your language to ensure the dubs, audiobooks, and other content we deliver sound natural and professional-grade Working with the Productions product and engineering team to optimize our tools and processes for high-quality content creationRequirementsWhile we don’t require any formal experience, certifications, or degrees, the following will set you apart as a candidate for a Production Manager role:Native speaker of or native-level knowledge of French, Spanish, German, Russian, Turkish, Arabic, Japanese, Korean, or MandarinExperience building and/or running a production team inside a language service provider (LSP), localization agency, media company, or similar for one or multiple of the following:TranscriptsTranslationsDubsAudiobooksStrong attention to detail: you should have keen eyes and ears in your native language and be capable of spotting even the smallest inconsistencies or mistakes that keep something from reading or sounding 100% natural.Comfortable giving feedback: you will be responsible for the quality of content the team produces in your language and should feel comfortable setting and maintaining a high bar.Bonus points for:Familiarity with the ElevenLabs platform, including our transcript editor, Studio, and dubbing productsNative-level abilities in multiple non-English languages#LI-Remote

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

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

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

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

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

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

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

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

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

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About ElevenLabsElevenLabs is a research and product company defining the frontier of audio AI. Millions of people use our technology to read articles, voice over videos, and restore voices lost to disability. Leading developers and enterprises worldwide use ElevenLabs to build intelligent agents for support, sales, and education.We launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing the company at $3.3 billion. By September 2025, that valuation doubled to $6.6 billion as we surpassed $200 million ARR in under three years.Our mission is to build the most important audio AI platform in the world, solve AI audio intelligence, and make information accessible in any voice, language, or sound.Our core offerings are our Creative Platform and the Agents Platform, powered by proprietary Text to Speech, Speech to Text, and conversational AI models.We are just getting started. If you want to work hard and create lasting impact, we would like to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location.What we offerInnovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.About the roleWe are looking for freelance Audiobook Specialists to join our fast-growing Productions team. Productions is a new marketplace that brings together our AI audio tools and a network of human experts to unlock high-quality, human-edited transcripts, subtitles, dubs, audiobooks and more at scale for our users and customers. While Productions is just getting started, we already manage content workflows for some of the world’s top YouTube channels, book publishers, and media & entertainment businesses.Here’s what you can expect on our team:Editing and polishing AI-generated audiobook narrations for natural flow and consistencyEnsuring character voices, tone, and pacing align with the author’s intentVoice casting and direction to match the style of the bookCollaborating with our audio engineering and mixing teams on mastering and post-productionCompetitive task-based compensationFlexible workload and schedulingRequirements:Native or near-native fluency in English (and/or other supported languages)Prior experience in audiobook narration, production, or editingStrong attention to detail and commitment to audio and linguistic accuracyAbility to work independently and deliver high-quality work on timeBonus:Previous work with publishers, audiobook production companies, or audio post-production teamsExperience using the ElevenLabs platform and/or other AI-assisted narration toolsProficiency in audiobook post-processing and editing (meeting industry specs, mastering, and using a DAW such as Pro Tools, Audition, or Reaper)This role is remote and can be executed globally. #LI-Remote

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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.