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Account Executive (AE)
THE OPPORTUNITY People at Vectara are passionate about helping users take advantage of breakthroughs in applied AI to discover and learn more about their business and the world around them. Our team is a group of unquestionable all-stars in their respective fields of computer science and business. Our work is validated by some of the most demanding technology, financial services, and semiconductor companies in the world. - Broadcom has standardized on Vectara as the central platform for Agentic RAG and Conversational AI. Combining Agentic RAG and Search together powers their customer facing support serving 3M users. - Texas Instruments uses Vectara for air-gapped on-prem search that accelerates design-in decisions. - Compass Real Estate replaced a five-person engineering effort with a single AI expert building on Vectara. - Aon enables non-technical analysts to query complex claims data in natural language. The business outcomes are concrete. Customers consistently describe Vectara as the moment their AI strategy went from experimentation to production. Joining Vectara means joining a growing, well-funded company at the exact inflection point when enterprise AI is moving from pilots to scale. You will work alongside a team that has built some of the most influential search, retrieval, and machine-learning systems in the industry. The problem space is large, the market is early, and the impact of every hire is visible. We are looking for the few people who have the grit to join a Series A startup that is growing rapidly in a quickly evolving market. You are someone who doesn't back down from a challenge and will do what it takes to make it successful. You want to be part of a team that puts in the hours with pipeline generation, finding deals by networking and creativity, and 100% hustling. You are effectively the owner of your business in the region and a founding Enterprise Account Executive. If this fits you, continue reading. Own the full sales cycle from first outreach to signed contract. You find, develop, and close your own opportunities. Inbound marketing is in place but consider that extra. - Sell into complex enterprise accounts where the buyer is technical (VP of Engineering, CIO, CDO, Head of AI/ML) and the problem is real — data sprawl, compliance risk, AI accuracy, knowledge retrieval at scale. - Navigate multi-stakeholder deals across IT, security, legal, and the business line. Build champions, map the org, and drive consensus. - Develop deep expertise in Vectara’s platform so you can answer hard technical questions, and earn the trust of engineering-led buyers. - Partner closely with our engineering team — we have a very large engineering org relative to sales, and they’re your secret weapon. Bring them into deals early and often. - Build your territory from scratch. Create your own target lists, develop your own outbound sequences, and generate pipeline through hustle, creativity, and relentless follow-up. - Give direct feedback to the product team. At this stage, what you hear from the market shapes what we build next. QUALIFICATIONS - 3–8 years of enterprise or mid-market B2B SaaS sales experience, ideally selling technical products to technical buyers. - Proven track record of exceeding quota in environments with limited brand recognition or sales infrastructure. - Experience selling into at least one of: AI/ML, data infrastructure, cloud platforms, cybersecurity, or enterprise software. - Comfortable engaging with C-suite, VP, and Director-level stakeholders across both technical and business functions. - Strong written and verbal communication — you can write a compelling cold email and deliver a boardroom presentation with equal confidence. - Based in or willing to travel to key markets. We’re building a distributed team, but face-to-face matters. - You don't need a perfect LinkedIn profile. Your story matters most. Your customer relationships and their trust matters more than the length of your experience. Perks and Benefits: 100% paid Medical, Dental, Vision for employees. Option of Health Savings Account (HSA) or Flexible Savings Account (FSA). Generous paid time off (PTO) plus paid sick time and holidays. Professional development and training opportunities. Company virtual happy hours and fun team building activities and more. Salary is just one component of Vectara’s employee compensation. Our full-time employees are also equity owners in the company, which although not an immediate cash component, can have positive impacts on long-term total compensation for each participating employee. We would be remiss if we didn’t highlight and celebrate our focus on engaging many of our employees in being economic co-owners of the business. Vectara welcomes all. We value the collective wisdom of people from different backgrounds, experiences, abilities and perspectives. We never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Vectara has a positive and supportive culture—we look for people who are inventive and work to be a little better every single day. We seek to be smart, humble, hardworking and, above all, curious. After all, we are on a mission to find meaning.
Account Executive ( AE)
THE OPPORTUNITY People at Vectara are passionate about helping users take advantage of breakthroughs in applied AI to discover and learn more about their business and the world around them. Our team is a group of unquestionable all-stars in their respective fields of computer science and business. Our work is validated by some of the most demanding technology, financial services, and semiconductor companies in the world. - Broadcom has standardized on Vectara as the central platform for Agentic RAG and Conversational AI. Combining Agentic RAG and Search together powers their customer facing support serving 3M users. - Texas Instruments uses Vectara for air-gapped on-prem search that accelerates design-in decisions. - Compass Real Estate replaced a five-person engineering effort with a single AI expert building on Vectara. - Aon enables non-technical analysts to query complex claims data in natural language. The business outcomes are concrete. Customers consistently describe Vectara as the moment their AI strategy went from experimentation to production. Joining Vectara means joining a growing, well-funded company at the exact inflection point when enterprise AI is moving from pilots to scale. You will work alongside a team that has built some of the most influential search, retrieval, and machine-learning systems in the industry. The problem space is large, the market is early, and the impact of every hire is visible. We are looking for the few people who have the grit to join a Series A startup that is growing rapidly in a quickly evolving market. You are someone who doesn't back down from a challenge and will do what it takes to make it successful. You want to be part of a team that puts in the hours with pipeline generation, finding deals by networking and creativity, and 100% hustling. You are effectively the owner of your business in the region and a founding Enterprise Account Executive. If this fits you, continue reading. Own the full sales cycle from first outreach to signed contract. You find, develop, and close your own opportunities. Inbound marketing is in place but consider that extra. - Sell into complex enterprise accounts where the buyer is technical (VP of Engineering, CIO, CDO, Head of AI/ML) and the problem is real — data sprawl, compliance risk, AI accuracy, knowledge retrieval at scale. - Navigate multi-stakeholder deals across IT, security, legal, and the business line. Build champions, map the org, and drive consensus. - Develop deep expertise in Vectara’s platform so you can answer hard technical questions, and earn the trust of engineering-led buyers. - Partner closely with our engineering team — we have a very large engineering org relative to sales, and they’re your secret weapon. Bring them into deals early and often. - Build your territory from scratch. Create your own target lists, develop your own outbound sequences, and generate pipeline through hustle, creativity, and relentless follow-up. - Give direct feedback to the product team. At this stage, what you hear from the market shapes what we build next. QUALIFICATIONS - 3–8 years of enterprise or mid-market B2B SaaS sales experience, ideally selling technical products to technical buyers. - Proven track record of exceeding quota in environments with limited brand recognition or sales infrastructure. - Experience selling into at least one of: AI/ML, data infrastructure, cloud platforms, cybersecurity, or enterprise software. - Comfortable engaging with C-suite, VP, and Director-level stakeholders across both technical and business functions. - Strong written and verbal communication — you can write a compelling cold email and deliver a boardroom presentation with equal confidence. - Based in or willing to travel to key markets. We’re building a distributed team, but face-to-face matters. - You don't need a perfect LinkedIn profile. Your story matters most. Your customer relationships and their trust matters more than the length of your experience. Perks and Benefits: 100% paid Medical, Dental, Vision for employees. Option of Health Savings Account (HSA) or Flexible Savings Account (FSA). Generous paid time off (PTO) plus paid sick time and holidays. Professional development and training opportunities. Company virtual happy hours and fun team building activities and more. Salary is just one component of Vectara’s employee compensation. Our full-time employees are also equity owners in the company, which although not an immediate cash component, can have positive impacts on long-term total compensation for each participating employee. We would be remiss if we didn’t highlight and celebrate our focus on engaging many of our employees in being economic co-owners of the business. Vectara welcomes all. We value the collective wisdom of people from different backgrounds, experiences, abilities and perspectives. We never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Vectara has a positive and supportive culture—we look for people who are inventive and work to be a little better every single day. We seek to be smart, humble, hardworking and, above all, curious. After all, we are on a mission to find meaning.
Senior Product Manager
Vapi (/ˈVɑːpi/): - Voice AI that resolves, not transfers - Powering 1 billion calls for companies like Amazon Ring, Intuit, ServiceTitan, and New York Life - Trusted by 1 million developers building the future of voice agents - Backed by Peak XV, Bessemer, Kleiner Perkins, M12, Y Combinator, and more with $72M raised - Try talking to Vapi now! https://vapi.ai/ ABOUT VAPI Vapi builds voice AI that resolves, not transfers. Our platform powers over 1 billion calls for more than 1 million developers, and our enterprise business has grown 10x over the past year — with customers ranging from fast-moving startups to Fortune 500 companies. We recently closed a $50M Series B to keep pushing what's possible when an AI agent can actually get the job done on a phone call. THE ROLE As Vapi product scales, we have specialized the product engineering team to focus on outcomes across the customer lifecycle. One key area here is agent building and model management. Our customers expect a lot of their Vapi agents, and our Agent Platform team ensures they have the latest models available and all the configuration to make those agents successful at scale. You'll drive impact through the quality of your product thinking and your ability to move fast with engineering. WHAT YOU'LL DO - Own how customers create, configure, and manage voice agents on Vapi. These are the core building blocks of the platform. - Drive the integrations and tools that agents can call on, expanding what they're capable of doing on a call. - Run the full lifecycle of every model Vapi supports, from evaluation and onboarding through deprecation. - Build the process that keeps Vapi at the frontier, so the latest models get added quickly and reliably, every time. - Define how model performance gets measured, so every model on the platform is judged on evidence, not intuition. - Run experimentation and research into the latest agentic harness opportunities, translating new techniques into features that help customers get more out of the models they use. - Take on the sprawl of agent configuration, currently thousands of possible parameters that can be set, and figure out how to make that power feel simple. WHAT YOU BRING - 5+ years of experience as a PM, most of it spent building and operating technical products at meaningful scale inside medium to large sized tech companies. - A strong technical foundation — you don't need to have shipped production code, but you can reason through system design and architecture trade-offs with engineers as a peer. - Exceptional communication and presentation skills, and the range to use them: aligning engineers, briefing executives, and presenting to external clients and partners with equal credibility. - A track record of owning outcomes, not process — you talk about the problem you solved and the impact it had, not the framework you followed to get there. - Genuine customer centricity. You've built B2B or enterprise products, and you default to talking about customers, not features. NICE TO HAVE - You've managed AI model integrations across TTS, STT, or LLM providers. - You have direct experience in voice AI. - You've built developer platforms, infrastructure products, or API-first products. - You've developed model evaluation or benchmarking systems. COMPENSATION & BENEFITS Base salary ranging from $240,000 - 270,000, plus equity. Vapi also offers comprehensive health coverage, flexible time off, and the standard perks of a fast-growing SF startup (catered meals, commuter support, and a learning & development budget).
Member of Technical Staff, Backend
Vapi (/ˈVɑːpi/): - Voice AI that resolves, not transfers - Powering 1 billion calls for companies like Amazon Ring, Intuit, ServiceTitan, and New York Life - Trusted by 1 million developers building the future of voice agents - Backed by Peak XV, Bessemer, Kleiner Perkins, M12, Y Combinator, and more with $72M raised - Try talking to Vapi now! https://vapi.ai/ WHY WE’RE HIRING THIS ROLE: - More than 1 million developers have built 2.7M+ agents on Vapi. Every assistant depends on a growing product surface—from Composer, Simulations, Monitoring, and Knowledge Base to Versioning and Deployments. - Behind those experiences are hard backend product problems: durable APIs and data models, real-time and asynchronous workflows, observability, evaluations, guardrails, and reliable operation of non-deterministic systems. - We’re hiring a backend product engineer to own those systems end to end and help customers move voice agents from a compelling demo to dependable production—at Fortune 500 scale. The work is genuinely hard and unusually fun. What You’ll Do: - 30 Days: Make real calls and build real assistants across LLM, speech-to-text, text-to-speech, and telephony integrations. Develop a working mental model of how Vapi’s product surfaces map to APIs, services, data systems, and production workflows, then ship your first scoped backend product improvement. - 60 Days: Own a meaningful backend area in agent self-improvement, trust, or guardrails. Take a customer problem from product spec to shipped system—designing the API, services, and data model; defining evaluation and rollout criteria; and instrumenting the result. Use AI coding agents thoughtfully as a throughput and quality lever. - 90 Days: Operate as an independent owner for a customer-facing backend area. Run the full improvement loop—authoring, evaluation, deployment, observation, and iteration—while improving reliability and developer experience. Be a core voice in product decisions and have multiple meaningful improvements in production. Who You Are: Must-haves - A track record operating at senior or staff scope: independently owning customer-facing backend product areas from an ambiguous problem through measurable production outcomes. - Strong hands-on experience with TypeScript/Node.js, Go, or a comparable backend stack, plus the ability to design clear APIs, services, and data models. - Experience building distributed or asynchronous systems with databases, queues, workflows, or event-driven patterns—and reasoning clearly about failure modes. - Strong product judgment: you start with the user problem, turn incomplete requirements into a clear technical approach, and make tradeoffs based on customer impact. - Production ownership: you care about testing, observability, reliability, incident response, safe rollouts, and what happens after launch. - Regular, thoughtful use of AI-assisted development tools to improve speed and quality, paired with strong engineering judgment about the result. - Self-direction, customer empathy, and clear communication. You stay hands-on, collaborate directly across functions, and remain accountable for outcomes. Nice-to-haves - Experience with Postgres and high-volume, event-driven systems using queues or durable workflows such as BullMQ, Kafka, or Temporal. - Experience with real-time systems, voice or telephony, LLM-powered products, or AI agents. - Experience operating cloud-native services on AWS and Kubernetes/EKS. - Experience building developer platforms, public APIs, SDKs, or dashboards used by technical customers. - Experience at a fast-growing startup, building a zero-to-one product, or founding a company. - Open-source contributions, public technical writing, or other evidence of craft beyond your day job. How We Work: - Build something worthy of love - Craft matters. We aim to build products and experiences customers genuinely love, not just tolerate. - Commit and follow through - We finish what we start and build trust by being people others can count on. - Why not today? - We value urgency and momentum. The fastest path to customer value usually wins. - Seek raw input - We go directly to customers, data, and teammates instead of relying on summaries or assumptions. - It’s our problem - We operate as one team. We share credit, own mistakes together, and support each other when things get hard. - Be direct and kind - We give feedback clearly, respectfully, and without delay. Why Vapi: - Generational impact: Build the human interface for every business - Ownership culture: Many of us are previous founders - Kind team: The founders, Jordan and Nikhil, are Canadians - Tier-1 investors: Peak XV (Series B), Bessemer, Kleiner Perkins, M12, and Y Combinator What We Offer: - Real stake: We offer a competitive salary and excellent equity ownership - Comprehensive health coverage: medical, dental, and vision plans - Team love: We love hanging out, and we do quarterly off-sites - Flexible time off: take what you need - More: catered meals, transportation, gym, equipment, and a $10k annual L&D budgetMore: catered meals, transportation, gym, and a $10k annual L&D budget.
Head of Data
Vapi (/ˈVɑːpi/): - Voice AI that resolves, not transfers - Powering 1 billion calls for companies like Amazon Ring, Intuit, ServiceTitan, and New York Life - Trusted by 1 million developers building the future of voice agents - Backed by Peak XV, Bessemer, Kleiner Perkins, M12, Y Combinator, and more with $72M raised - Try talking to Vapi now! https://vapi.ai/ WHY WE’RE HIRING THIS ROLE: - Vapi has more data than clarity. One billion calls, millions of developer events, and an enterprise book growing 10x, but no single source of truth. - Finance, GTM, Product, and Engineering each have their own numbers. Alignment breaks down exactly when it matters most. - You will be our first Head of Data. You will build the function from scratch: the canonical metrics, the infrastructure behind them, and the culture that trusts them. - This is a leadership role reporting to the CFO. Every function's ability to move fast and move together depends on the work you do. WHAT YOU’LL DO: - Own the single source of truth. Define and own Vapi's core metric set (ARR, NRR, churn, call volume, latency, reliability) and build the canonical data model every team pulls from. One definition of a billable call. One definition of an active customer. One number in the board deck. - Make the GTM funnel measurable end to end. From signup and first call, through activation, PQL, MQL, SQL, SQO, PoC, and closed won, to time-to-live, adoption health, expansion, and retention. Arbitrate conflicting definitions and drive adoption of shared logic. - Run the operating cadence. Own the data, dashboards, and narrative behind weekly and monthly business reviews, and instrument OKRs with reliable, current data. - Build and scale the data platform. Own the modern data stack end to end (warehouse, ingestion, transformation, orchestration, BI). Ship well-documented, tested dbt models and enforce data contracts between producers and consumers. - Handle voice-API scale. Design pipelines for call telemetry, transcript events, usage metering, billing signals, and model performance traces. Set freshness SLAs, alerting, and on-call coverage so data issues surface before they become decision errors. - AI/LLM observability and monitoring. Build pipelines for AI/LLM data pipeline monitoring, model telemetry, and prompt-to-performance observability. - Unlock self-serve analytics. Build canonical and semantic layers where Sales, Finance, CS, Product, and Engineering answer their own questions. Ship function-specific dashboards: GTM funnel and PoC win rate, revenue and cohorts, reliability and latency, activation and PQL rate. - Own governance, quality, and access. Build the definitions library, data dictionary, lineage, and access controls. Partner with Security and Legal on retention, residency, and PII and voice-data handling under HIPAA, GDPR, CCPA, and customer DPAs. - Be a strategic partner. Bring data into pricing, market expansion, product bets, and customer health. Partner with Finance on revenue recognition, usage-based billing, and investor reporting. Partner with GTM on pipeline health, territory design, and retention modeling. - Build the team. Own headcount planning, hire the first data engineers and analysts, and set the bar for high-craft, high-trust data work. Make build-versus-buy calls and own data vendor relationships. - What Success Looks Like: - First 30 days: Audit every source of truth today. Publish a metric definition v1 and a prioritized roadmap agreed with the CFO and leadership team. - First 90 days: One canonical model for ARR, NRR, and billable calls in production. Weekly business review runs on your data. - First 6 months: GTM funnel measurable end to end. Self-serve dashboards live for each function. First hires on the team. - First year: Leaders trust the numbers without asking where they came from. Data is a competitive advantage, not a shared frustration. WHO YOU ARE: - 10+ years in data, analytics, or data engineering, including building or leading a data function at a high-growth technology company. - You have shipped and sustained a company-wide single source of truth: aligned conflicting definitions, won over resistant stakeholders, and kept trust in the numbers over time. - Deep fluency in the modern data stack: dbt, Databricks, Fivetran or PostHog, and a BI layer like Hex. Strong SQL is a baseline; Python comfort is a plus. - Bias to action. You ship a working dashboard before you build the perfect one, then iterate. - You have built pipelines that handle billions of event-driven rows and know where the failure modes hide. - You partner equally well with Finance, Product, Engineering, and GTM. You earn trust by listening, scoping precisely, and delivering on time. - Sharp judgment on build-versus-buy, technical debt, and when good enough is right. You do not over-engineer for a company this size. - Clear, direct communicator. You can explain a metric discrepancy to a CFO and a pipeline architecture to a data engineer in the same day. - Experience with AI or ML data infrastructure: feature stores, model evaluation pipelines, or LLM observability. - Bonus Points: - First or founding data leader at a Series A through C company. - Background at a developer-facing platform, API business, or usage-based SaaS company. - Familiarity with usage-based billing data models and revenue metering systems. - Hands-on HIPAA or GDPR compliance in an analytics context. - Built data products for external customers, not just internal stakeholders. HOW WE WORK: - Build something worthy of love - Craft matters. We aim to build products and experiences customers genuinely love, not just tolerate. - Commit and follow through - We finish what we start and build trust by being people others can count on. - Why not today? - We value urgency and momentum. The fastest path to customer value usually wins. - Seek raw input - We go directly to customers, data, and teammates instead of relying on summaries or assumptions. - It’s our problem - We operate as one team. We share credit, own mistakes together, and support each other when things get hard. - Be direct and kind - We give feedback clearly, respectfully, and without delay. WHY VAPI: - Generational impact: Build the human interface for every business - Ownership culture: Many of us are previous founders - Kind team: The founders, Jordan and Nikhil, are Canadians - Tier-1 Investors: YC, KP seed, Bessemer Series A WHAT WE OFFER: - Real stake: We offer a competitive salary and excellent equity ownership - Comprehensive health coverage: medical, dental, and vision plans - Team love: We love hanging out, and we do quarterly off-sites - Flexible time off: take what you need - More: catered meals, transportation, gym, and a $10k annual L&D budget
Staff Product Manager
About Typeface We he lp the world’s biggest brands move from brief to fully personalized campaigns — in days, not months. Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we’re building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing. What You’ll Do As a Staff Product Manager, you’ll operate as a product leader—owning large, ambiguous problem spaces that cut across teams and systems. You’ll define strategy, guide execution, and elevate how we build AI products. You’ll work closely with leadership, engineering, and design to ensure we’re building the right products—and building them the right way. We are looking for someone who enjoys the fast-paced startup life, can envision an AI and future-first product roadmap, drive results, is a team player and very customer-oriented. How You’ll Make an Impact - Define and drive product strategy across major product areas or company-level initiatives - Work closely with engineering, design and other product teams to build innovative 0 -> 1 solutions for the enterprise marketers and creators. - Identify and prioritize high-impact opportunities using customer insights, data, and model capabilities - Partner deeply with engineering and data science to shape how AI systems are built, evaluated, and improved - Drive alignment across teams, ensuring cohesive product direction and execution - Establish best practices for building AI products (experimentation, evaluation, feedback loops, etc.) - Mentor and support other product managers, raising the overall quality of product thinking - Influence company strategy and contribute to key business decisions What You Bring - 7–10+ years of product management experience, including experience building AI-native software or application. - Bachelor’s or Master's degree in engineering, computer science, business or a related field. - Experience having defined and shipped a new AI product capability from concept through adoption. - Strong experience working on AI/ML or data-intensive products - Proven ability to lead large, ambiguous initiatives with cross-functional impact - Deep understanding of product strategy, prioritization, and trade-offs - Strong analytical skills and experience defining and interpreting product and model metrics - Ability to collaborate deeply with engineers and data scientists on complex systems - Excellent communication and leadership skills - Track record of driving measurable business outcomes through product decisions Location This is a hybrid role based in our Palo Alto HQ. We collaborate in-office 3 days a week. Base Salary The range for this role is $200,000-$230,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits - Competitive compensation — including salary, equity, and 401(k) - Full medical, dental, and vision insurance for you and your family - HSA and FSA options to support your financial wellness - Flexible time off — including parental leave - Well-being programs — resources to support your mental and physical health - Daily lunch & snacks - Mentorship & impact — work closely with top AI leaders on products that ship Equality Opportunity Statement We welcome and encourage applicants from all backgrounds. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, medical condition, veteran status, or any other legally protected status. We comply with applicable laws in every jurisdiction where we operate. Why You’ll Love Working Here - Build something big — Be part of a fast-growing startup defining a new category: marketing orchestration powered by Agentic AI. - Your work will matter — Trusted by Fortune 100 companies, our platform delivers 10x content velocity and 90% faster campaigns. - A+ team — Collaborate with veterans from Meta, Amazon, Adobe, Google, Microsoft, and top AI companies. - Backed by the best — GV, Salesforce Ventures, Microsoft, Lightspeed, Madrona and M enlo ($165M raised). - Recognized for innovation — TIME Best Inventions, Fast Company Next Big Thing in Tech, Gartner Cool Vendor, Adweek AI Company of the Year, LinkedIn Top Startup, Webby Award (AI Work & Productivity).
Senior Product Manager
About Typeface We he lp the world’s biggest brands move from brief to fully personalized campaigns — in days, not months. Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we’re building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing. What You’ll Do As a Senior Product Manager, you’ll lead the development of AI-driven features and experiences from concept to launch. You’ll work at the intersection of product, data, and engineering, translating complex AI capabilities into simple, valuable user outcomes. We are looking for someone who enjoys the fast-paced startup life, can envision an AI and future-first product roadmap, drive results, is a team player and very customer-oriented. How You’ll Make an Impact - Define and drive product strategy for AI-powered features and core platform capabilities - Build innovative 0 -> 1 solutions for the enterprise marketers and creators - Work with engineering to build a foundationally solid AI-native, multi-modal content design engine - Lead discovery across users, data, and model capabilities to identify high-impact opportunities - Translate ambiguous problems into clear product requirements, experiments, and success metrics - Own the lifecycle of AI features, including model iteration, evaluation, and continuous improvement - Establish feedback loops between user behavior, product metrics, and model performance - Balance speed and quality when shipping AI features, managing trade-offs like accuracy, latency, and cost - Communicate product vision and decisions clearly across technical and non-technical stakeholders What You Bring - 7+ years of product management experience, including experience building AI-native software or application - Bachelor’s or Master's degree in engineering, computer science, business or a related field. - Experience having defined and shipped a new AI product capability from concept through adoption - Strong understanding of how AI/ML systems work (you don’t need to build models, but you understand their constraints) - Experience shipping 0→1 or highly iterative products in a fast-paced environment - Data-driven mindset with strong analytical and experimentation skills - Excellent communication skills, you can simplify complexity for different audiences - Comfort operating in ambiguity and making decisions with incomplete information Location This is a hybrid role based in our Palo Alto HQ. We collaborate in-office 3 days a week. Base Salary The range for this role is $180,000-$210,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits - Competitive compensation — including salary, equity, and 401(k) - Full medical, dental, and vision insurance for you and your family - HSA and FSA options to support your financial wellness - Flexible time off — including parental leave - Well-being programs — resources to support your mental and physical health - Daily lunch & snacks - Mentorship & impact — work closely with top AI leaders on products that ship Equality Opportunity Statement We welcome and encourage applicants from all backgrounds. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, medical condition, veteran status, or any other legally protected status. We comply with applicable laws in every jurisdiction where we operate. Why You’ll Love Working Here - Build something big — Be part of a fast-growing startup defining a new category: marketing orchestration powered by Agentic AI. - Your work will matter — Trusted by Fortune 100 companies, our platform delivers 10x content velocity and 90% faster campaigns. - A+ team — Collaborate with veterans from Meta, Amazon, Adobe, Google, Microsoft, and top AI companies. - Backed by the best — GV, Salesforce Ventures, Microsoft, Lightspeed, Madrona and M enlo ($165M raised). - Recognized for innovation — TIME Best Inventions, Fast Company Next Big Thing in Tech, Gartner Cool Vendor, Adweek AI Company of the Year, LinkedIn Top Startup, Webby Award (AI Work & Productivity).
Strategic Project Lead, Software Engineering
About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role You will own the production system behind Turing’s software-engineering data programs, turning complex research requirements into predictable delivery across quality, throughput, contributor performance, timelines, and cost. These programs may involve supervised coding demonstrations, repository-level tasks, agentic trajectories, reinforcement-learning environments, benchmarks, code review, and rubric-based evaluations. They can require coordinating hundreds of distributed software engineers while responding quickly to changing research requirements. This is an operations leadership role with a meaningful technical bar. You must be able to inspect code, understand tests, interrogate quality signals, and challenge a workflow or rubric when it is not producing the intended result. You will not be expected to act as the principal engineer for every program. Your primary responsibility is to build and operate the system that consistently produces high-quality technical work at scale. What You’ll Do 1) Operational execution — own end-to-end delivery on every project you run - Design and manage data pipelines from customer specification to final delivery, with full accountability for scope, timeline, and quality. - Diagnose bottlenecks in real time — re-sequence workflows, refine instructions, create incentive systems, and scale review processes to hit throughput targets. - Run daily “war room” syncs to stay ahead of issues before they reach the customer. 2) Customer relationships — be the face of Turing to the world’s leading AI labs - Act as the primary point of contact for researchers and program managers at frontier AI labs. - Deliver clear, consistent reporting and proactively anticipate client needs before they ask. - Build the kind of long-term trust that converts a one-off project into a multi-year partnership — and identify expansion opportunities along the way. 3) Large-scale coordination — orchestrate the work of 100–1,000+ contributors - Source, vet, onboard, train, and performance-manage domain experts across distributed workspaces. - Maintain high execution standards at every stage of production, from annotation through review through delivery. - Design motivation and performance systems — including gamification — that keep large contributor pools engaged and output high. 4) Quality ownership — ensure world-class data integrity on every project - Own quality control across the annotation lifecycle: set the bar, measure against it, and close the gap when it slips. - Analyze datasets to identify trends, anomalies, and systematic errors — then fix the root cause, not just the symptom. - Implement and continuously improve annotation, evaluation, and curation best practices. 5) Process innovation — make the operation faster, better, and cheaper each cycle - Stay ahead of emerging practices in AI data operations and apply them before customers ask. - Champion workflow changes that reduce task completion times and improve cost efficiency. - Maintain clear, scalable documentation so that improvements survive beyond any single project. 6) Playbook building — codify what works so future SPLs scale faster than you did - Document onboarding scripts, quality benchmarks, contributor management frameworks, and escalation patterns. - Own your domain’s section of the SPL knowledge base. - Actively mentor the next hire — your playbook is your legacy. Who We’re Looking For - Background in consulting, finance, startups, or other operationally intense environments, with a proven track record of managing complex, multi-stakeholder projects. - Strong analytical and communication abilities: you can spot a bottleneck in a noisy production environment, build a measurement plan, and communicate the fix to a demanding client in plain language. - Customer-facing experience: comfortable working directly with high-profile clients, managing expectations, and building long-term relationships. - Excited by gritty process optimization and large-scale execution — you thrive on making complex operations faster, cleaner, and more reliable. What Success Looks Like 30 days: First project delivered end-to-end with no quality escapes reaching the customer. Reporting cadence established and trusted by the lab. Contributor onboarding playbook v1 published. You know the names of every researcher on your accounts. 60 days: 300+ active contributors across concurrent workstreams, all executing to standard. At least one customer has proactively expanded scope based on delivery quality. Quality framework codified and in daily use by your team. 180 days: $5M+ in active project revenue under your management. A second SPL is ramping off your playbook. You spend more time multiplying through others than operating as a solo contributor. Why Turing - Work directly with the world’s leading AI labs at the cutting edge of post-training, evaluation, and agentic AI research. - Real impact on the path to AGI: the data you deliver will directly influence how frontier models are trained and evaluated. - High ownership and influence. You will shape how Turing delivers at scale, with direct visibility to senior leadership. - Direct-to-research customers. You will spend your time partnering with the people building the future of AI, not coordinating with procurement. How to Apply Send a CV and a short note on a project you managed end-to-end — ideally something that required coordinating a large team, managing a demanding client, or solving a hard quality problem under time pressure — to recruiting@turing.com. We read every submission. Compensation SPL: - Base Salary: $120K-$200K - Total Target Compensation: $195K-$300K (includes salary, variable, and equity) Senior SPL: - Base Salary: $150K-$280K - Total Target Compensation: $300K-$500K (includes salary, variable, and equity) Values - We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. - We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection - We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing - Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. - Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. - Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. - Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. - Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .
Strategic Project Lead - Code
About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role You will own the production system behind Turing’s software-engineering data programs, turning complex research requirements into predictable delivery across quality, throughput, contributor performance, timelines, and cost. These programs may involve supervised coding demonstrations, repository-level tasks, agentic trajectories, reinforcement-learning environments, benchmarks, code review, and rubric-based evaluations. They can require coordinating hundreds of distributed software engineers while responding quickly to changing research requirements. This is an operations leadership role with a meaningful technical bar. You must be able to inspect code, understand tests, interrogate quality signals, and challenge a workflow or rubric when it is not producing the intended result. You will not be expected to act as the principal engineer for every program. Your primary responsibility is to build and operate the system that consistently produces high-quality technical work at scale. What You’ll Own 1) Operational execution — own end-to-end delivery on every project you run - Design and manage data pipelines from customer specification to final delivery, with full accountability for scope, timeline, and quality. - Scope and stand up coding workstreams across supervised demonstrations, agentic trajectories, RL environments, benchmark construction, and rubric-graded evaluation. - Diagnose bottlenecks in real time — re-sequence workflows, refine instructions, create incentive systems, and scale review processes to hit throughput targets. 2) Quality ownership — ensure world-class data integrity on every project - Own quality control across the annotation lifecycle: set the bar, measure against it, and close the gap when it slips. - Analyze datasets to identify trends, anomalies, and systematic errors — then fix the root cause, not just the symptom. - Implement and continuously improve annotation, evaluation, and curation best practices. 3) Large-scale coordination — orchestrate the work of 100–1,000+ contributors - Define the required contributor profile and partner with talent teams to source, assess, onboard, and ramp distributed software engineers. - Own contributor training, performance management, reviewer capacity, incentives, and corrective actions. - Build team-lead and reviewer structures that maintain execution standards across programs involving hundreds of contributors. 4) Customer relationships — be the face of Turing to the world’s leading AI labs - Act as the primary point of contact for researchers and program managers at frontier AI labs providing clear reporting on progress, quality, risks and recovery actions. - Translate research intent into a task specification, and push back when a spec will not produce the signal the researcher actually wants. - Build the kind of long-term trust that converts a one-off project into a multi-year partnership — and identify expansion opportunities along the way. 5) Playbook building — codify what works so future SPLs scale faster than you did - Use Python, SQL or other appropriate tools to automate quality sampling, defect classification, throughput analysis, and weekly reporting. - Turn successful workflows into reusable playbooks, quality controls, evaluation assets, and contributor-management systems. - Share lessons and mentor other SPLs so each program improves the operating system for the next one. What We’re Looking For - Background in software engineering, technical program management, consulting, finance, startups, or other operationally intense environments, with a proven track record of managing complex, multi-stakeholder projects. - Strong analytical and communication abilities: you can spot a bottleneck in a noisy production environment, build a measurement plan, and communicate the fix to a demanding client in plain language. - Customer-facing experience: comfortable working directly with high-profile clients, managing expectations, and building long-term relationships. - Excited by gritty process optimization and large-scale execution — you thrive on making complex operations faster, cleaner, and more reliable. - You can read and review code. You can follow a pull request in Python, TypeScript, Java, or Go, read a test suite, and judge a delivered task independently. - Bonus: Experience with agentic evaluation harnesses, software engineering benchmarks, or RL environments; Experience managing large distributed contributor networks or marketplaces; Prior work at an AI data vendor or a frontier lab What Success Looks Like 30 days: Complete technical and operational calibration, establish the program baseline, validate acceptance criteria and delivery controls, and independently lead a defined workstream. 90 days: Deliver predictable throughput and quality, improve at least one material operating metric, maintain a trusted risk and reporting cadence, and demonstrate that defects are being detected internally before customer delivery. 180 days: Run concurrent programs with stable quality and cost performance, convert successful workflows into reusable assets, contribute evidence that supports account expansion, and help another lead or team adopt the operating system you built. Why Turing - Work directly with the world’s leading AI labs at the cutting edge of post-training, evaluation, and agentic AI research. - Real impact on the path to AGI: the data you deliver will directly influence how frontier models are trained and evaluated. - High ownership and influence. You will shape how Turing delivers at scale, with direct visibility to senior leadership. - Direct-to-research customers. You will spend your time partnering with the people building the future of AI, not coordinating with procurement. Values - We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. - We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection - We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing - Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. - Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. - Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. - Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. - Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .
Software Engineer, Systems Generalist
ABOUT THINKING MACHINES The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it. ABOUT THE ROLE We’re looking for generalist infrastructure and systems engineers to help build the systems that power our foundation models and the internal teams on research and product development to be able to create the models and ship the products powered by our models. You'll join a small, high-impact team responsible for architecting and scaling the core infrastructure behind everything we do. You’ll work across the full technical stack, solving complex distributed systems problems and building robust, scalable platforms. Infrastructure is critical to us: it's the bedrock that enables every breakthrough. You'll work directly with researchers to accelerate experiments, improve infrastructure efficiency, and enable key insights across our models, products, and data assets. WHAT YOU’LL DO We interview generally, but during project selection we’ll take into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the infrastructure teams where they'll have the greatest impact and growth potential. Here are example areas you may contribute to depending on your area of expertise and interest: - Core Infrastructure: We support teams that train, research, and ultimately serve AI models and build the underlying infrastructure for the clusters to reliably and safely train frontier models. Examples might include building systems and running large Kubernetes clusters with GPU workloads, or building infrastructure to support Tinker. - Data Infrastructure: We build and maintain the data systems for our research and products. You'll design and optimize data pipelines using tools like Spark and other modern data infrastructure technologies. You’ll build scalable, reliable, data infrastructure while embedding governance best practices. - Developer Productivity: We care deeply about research and engineering productivity and our ability to continue shipping quickly. We build tooling, systems, frameworks, and systems to make sure everyone gets well configured, optimized developer environments. SKILLS AND QUALIFICATIONS MINIMUM QUALIFICATIONS - Bachelor’s degree or equivalent experience in computer science, engineering, or similar. - Proficiency in at least one backend language (we use Python or Rust). - Experience operating large‑scale clusters and container orchestration systems (e.g. Kubernetes or Slurm). - Comfort operating across the stack and owning projects end-to-end. - Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts. - A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships. PREFERRED QUALIFICATIONS - Strong debugging across application, OS, and network layers. - Proficiency in Python or Rust (or similar), containers, and modern CI. - Experience with Kubernetes, controllers/operators, or performance profiling. - Familiarity with GPU/ML workflows or large‑scale data/eval pipelines. LOGISTICS - Location: This role is based in San Francisco, California. - Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $300,000 - $400,000 USD. - Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. - Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.
Software Engineer, Security
ABOUT THINKING MACHINES The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it. ABOUT THE ROLE We’re looking for a software engineer focused on making our products secure by default while supporting fast and ambitious product iteration. You’ll embed with product and research teams to bake security into design and development and to build tooling and automation that keep systems safe at scale. Note: This is an "evergreen role" that we keep open on an on-going basis to express interest. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities open. You are welcome to reapply if you get more experience, but please avoid applying more than once every 6 months. You may also find that we put up postings for singular roles for separate, project or team specific needs. In those cases, you're welcome to apply directly in addition to an evergreen role. WHAT YOU’LL DO - Partner with product and research teams to embed security into the development lifecycle: threat modeling, design reviews, and secure defaults for new features. - Design and implement security controls across our product stack (authentication, authorization, session management, input validation, etc.). - Build and maintain security tooling and automation for engineers: secure frameworks and templates, CI/CD checks, dependency management, and vulnerability detection. - Collaborate with researchers to identify and mitigate AI-specific product risks, such as model abuse, prompt injection, data leakage, or misuse of capabilities. - Improve observability and detection for security-relevant events: access anomalies, abuse patterns, and suspicious behavior in production. SKILLS AND QUALIFICATIONS Minimum qualifications: - Bachelor’s degree or equivalent experience in computer science, engineering, or similar. - Proficiency in at least one backend language (we use Python or Rust). - Strong generalist software engineering background and ability to review production code for security risks. - Hands-on experience securing web apps and APIs especially auth flows, access control, secrets management, input validation, and data protection. - Familiarity with common vulnerability classes and prevention frameworks; experience hardening prototypes into production. - Comfort with modern cloud infrastructure and understanding how application concerns intersect with infrastructure. - Comfort operating across the stack and owning projects end-to-end. - Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts. - A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships. Preferred qualifications — we encourage you to apply if you meet some but not all of these: - Experience securing AI‑powered products or working with ML/LLM APIs and their unique threat models. - Background in human-computer interaction, especially where security or trust plays a central role in the user experience. - Strong skills in rapid prototyping and iteration, with a habit of turning ad-hoc fixes into reusable patterns and tools. - Open‑source security work, bug bounty write‑ups, or published tooling. LOGISTICS - Location: This role is based in San Francisco, California. - Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $300,000 - $350,000 USD. - Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. - Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.
Software Engineer, Infrastructure
ABOUT THINKING MACHINES The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it. ABOUT THE ROLE We're hiring a Software Engineer, Infrastructure to design and build the distributed systems that power our model training and serving platforms. You'll work on the systems underlying everything we do — from the clusters that train our frontier models with Inkling, to the multi-tenant serving infrastructure behind Tinker. This is a foundational infrastructure role at a fast-moving startup. You'll have real ownership over systems that run at large scale, and your work will directly determine how quickly our research and product teams can iterate. WHAT YOU'LL DO - Design, build, and operate distributed systems that support large-scale model training and inference across thousands of accelerators - Build and maintain core infrastructure, including orchestration, scheduling, storage, and resource management systems - Improve the reliability, performance, and observability of infrastructure used across research and product teams - Partner with researchers and platform engineers to understand infrastructure needs and turn them into robust, well-abstracted systems - Debug and resolve complex distributed failures across the stack, from networking and storage to compute and scheduling - Write and maintain internal libraries and APIs, primarily in Python and Go, that other engineers build on SKILLS & QUALIFICATIONS MINIMUM QUALIFICATIONS - Demonstrated expertise designing and developing large-scale distributed systems - Strong proficiency in Python and Go - Experience building, deploying, and operating production infrastructure at scale - Solid grounding in distributed systems fundamentals, such as consensus, consistency, fault tolerance, and networking PREFERRED QUALIFICATIONS - Experience with ML infrastructure, such as training orchestration, job schedulers, or distributed storage and data systems - Experience operating large-scale GPU or TPU clusters - Experience with container orchestration (e.g. Kubernetes) and infrastructure-as-code - Contributions to open-source infrastructure projects - Comfortable working with high autonomy in a fast-changing, early-stage environment LOGISTICS - Location: This role is based in San Francisco, CA. - Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $300,000 - $400,000 USD. - Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. - Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.
HR Business Partner
ABOUT THINKING MACHINES The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it. HR BUSINESS PARTNER Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals. We are a small team of scientists, engineers, and builders who've created some of the most widely used AI products including ChatGPT, Character.ai, and PyTorch. As we scale our team, some of the hardest challenges we face are about empowering and aligning our people and helping our managers make crucial decisions under uncertainty. ABOUT THE ROLE The new role of HR Business Partner will combine two tasks: leadership coaching, and people systems design. The two require different skillsets, but a shared vision for managing talent. You will coach managers at Thinking Machines Lab to be more effective leaders. You will provide strategic support on researcher and engineer performance, team dynamics, and personal growth. You will also build the people infrastructure that will scale this support as the company grows: performance and feedback systems, compensation structures, and career frameworks. WHAT YOU’LL DO - Coach managers by observing how they lead, identifying strengths and blind spots, and working on continuous improvement. - Advise leadership on organizational decisions: team structure, succession planning, and strategic people choices that shape how we work. - Design compensation structures that let us compete for the best machine learning talent in the world while staying aligned on values and principles. - Create career/leveling frameworks that work for a research lab where career advancement often doesn’t mean managing people, contributions such as mentorship and taste are harder to measure, and where senior researchers expect to grow and learn even after a decade in the role. - Build feedback and evaluation processes that help people improve, not just get measured. SKILLS AND QUALIFICATIONS Minimum qualifications: - 5+ years experience working as a people leader or HR business partner in a high-growth technical environment. - Fluency with employment law and best practices in North America. - Proven track record of developing HR practices and supporting a diverse set of talent. Preferred qualifications: We encourage you to apply even if you don’t meet all preferred qualifications. - 10+ years experience as a people leader or HR business partner. - Experience in setting up novel systems that scale in a fast-growing company. - Coaching experience that showcases a skill set in providing confidential support, motivating improvement, and conflict resolution. - Track record of supporting a high trust and low ego environment for high caliber talent with strong retention and growth. LOGISTICS - Location: This role is based in San Francisco, California. - Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $225,000 - $275,000 USD. - Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. - Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed. - As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
Machine Learning: Whole-Body Control
THE BOT COMPANY We're building a helpful robot for every home. We're a small team of engineers, designers, and operators based in San Francisco. Our team comes from Tesla, Cruise, OpenAI, Google, Pixar, and many other great companies. In the past we've shipped to hundreds of millions of users and know what it takes to build amazing products and experiences. Our team is deliberately lean to promote rapid decision making and do away with bureaucracy and hierarchy. Everyone is an IC and is empowered with massive scope, radical ownership, and direct responsibility. We work across the stack with a culture built for rapid iteration and fast execution. WHAT WE LOOK FOR IN ALL CANDIDATES All roles at The Bot Company demand extreme sharpness and the ability to move fast in high-intensity environments. Throughout the process, we expect candidates to demonstrate: - Exceptional mental acuity: you think quickly, learn instantly, and reason across unfamiliar domains. - Engineering curiosity: you naturally dig into how systems work, even outside your specialty. - High performance mindset: you move fast, handle ambiguity, and excel when the environment is demanding. MACHINE LEARNING: WHOLE-BODY CONTROL We are building high-performance whole-body controllers that produce robust, agile motion and manipulation in the real world. You will train low-level control policies in simulation and own the stack from environment design to large-scale training and sim-to-real deployment. WHAT YOU'LL DO - Train whole-body policies for locomotion, manipulation, and coordinated motion. - Build scalable simulation environments in IsaacLab, MuJoCo, or similar with parallel rollouts. - Design rewards and curricula that enable stable long-horizon learning. - Own sim-to-real transfer using domain randomization and structured evaluation. - Run and debug large-scale GPU training experiments. REQUIREMENTS - Very strong coding skills in Python, C++, or Rust. CUDA is a plus. - Strong foundations in modern reinforcement learning. - Experience training embodied control policies. - Hands-on robotics simulation experience. - Solid intuition for dynamics, contact, and actuation. - Comfortable running large-scale GPU experiments. WHY JOIN You’ll work with a small, elite team on challenges that require speed, intelligence, and deep engineering instinct. If you enjoy understanding systems at all levels, move fast, and think even faster, you’ll thrive here.
Staff Forward Deployed Engineer
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 Staff Forward Deployed Engineer who’s excited to build with the engineers using the AI computers Tenstorrent makes. You will create continuity between customers, engineering, and AI inference service products. This is an engineering role first: you contribute production code, operate deployments, and you can explain a trade-off to customer leadership as clearly as to core engineering teams. This is a high-autonomy role with direct customer impact. This role is remote, based out of North America, with preference near one of our main hubs: Santa Clara, CA; Austin, TX; or Toronto, ON. 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 - You understand how accelerator compute, memory, and networking topology constrain AI workloads, and don't treat hardware as a black box. - You're an early adopter of AI for your work from coding to building agentic workflows that multiply your impact. - You work directly with customers to understand their challenges and provide effective solutions. - You are comfortable debugging across the full inference stack: from failing requests, through the serving layer, down to OOMs or kernel dispatch if need be. - You bring feedback in the form of pull requests, reproducible code, benchmarks, and telemetry data. What We Need - Strong software engineering skills with 5+ years of relevant technical experience (e.g. Applied Engineer, Machine Learning Engineer, MLOps Engineer, Platform Engineer, Infrastructure Engineer, Site Reliability Engineer, Field Application Engineer). - Experience turning ambiguous customer requirements or issues into verifiable acceptance criteria. - Kubernetes and Helm experience at multi-node, HPC, or AI cluster scale. - Experience with observability and infrastructure automation, e.g. Prometheus, Grafana, OpenTelemetry. - Experience with LLM inference serving engines and technologies, e.g. vLLM, SGLang, Mooncake, NIM, Dynamo, LMCache. What You Will Learn - Where co-design of AI hardware and software translates into unique latency and throughput performance. - How to scale disaggregated inference services on Kubernetes while balancing performance, reliability, and tactical tradeoffs. - What makes enterprise AI deployments successful: from technical requirements through software delivery, cluster-scale validation, and production ownership. - Why customer insights from the field shape the best products. - How to build agentic workflows for asymmetric impact. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. 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.
RISC-V AI / HPC & Agentic Software Engineering Lea...
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. Tenstorrent is building next-generation RISC-V CPUs optimized for AI, high-performance computing, and emerging autonomous AI systems. As the RISC-V AI / HPC & Agentic Software Engineering Lead, you will operate at the hardware–software boundary, enabling AI, HPC, and agentic AI software stacks on Tenstorrent’s RISC-V processors. This role is responsible for integrating and optimizing Tenstorrent’s LLK (Low-Level Kernel) infrastructure for CPU execution, while leading the bring-up of a RISC-V-native agentic AI software stack — including runtime orchestration, distributed execution frameworks, memory systems, and developer tools required for goal-driven AI systems. You will work closely with CPU architects, microarchitecture teams, compiler engineers, and AI kernel developers to ensure tight alignment between software capabilities and RISC-V architectural features. This role is remote, based out of North America. 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 - A systems-oriented software engineer with deep experience in HPC and AI software stacks. - Experienced with distributed AI systems, orchestration frameworks, or agentic AI architectures. - Comfortable working close to hardware and instruction-level programming. - Skilled at translating performance targets into architectural and software requirements. - Experienced in runtime systems, profiling, and low-level optimization. - Motivated by hardware–software co-design and scaling next-generation AI infrastructure. What We Need - Strong background in HPC and AI software development. - Solid understanding of RISC-V architecture (ISA, extensions, micro-architectural implications). - Proficiency in C/C++ and systems programming. - Experience optimizing performance-critical code paths. - Experience with agentic AI frameworks, distributed execution systems, or orchestration platforms. - Familiarity with compiler toolchains (LLVM, GCC). - Experience with vectorization, custom ISA extensions, or accelerator integration. What You Will Learn - How AI and agentic workloads map to RISC-V microarchitecture. - Custom ISA extension design for AI acceleration. - End-to-end HPC/AI/agentic stack integration. - Runtime orchestration for distributed AI systems. - Hardware–software co-design for scalable AI-native CPU platforms. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. 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.
RISC-V AI / HPC & Agentic Software Engineer
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. Tenstorrent is building next-generation RISC-V CPUs optimized for AI, high-performance computing, and emerging autonomous AI systems. As the RISC-V AI / HPC & Agentic Software Engineering Lead, you will operate at the hardware–software boundary, enabling AI, HPC, and agentic AI software stacks on Tenstorrent’s RISC-V processors. This role is responsible for integrating and optimizing Tenstorrent’s LLK (Low-Level Kernel) infrastructure for CPU execution, while leading the bring-up of a RISC-V-native agentic AI software stack — including runtime orchestration, distributed execution frameworks, memory systems, and developer tools required for goal-driven AI systems. You will work closely with CPU architects, microarchitecture teams, compiler engineers, and AI kernel developers to ensure tight alignment between software capabilities and RISC-V architectural features. This role is remote, based out of Taiwan. 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 - A systems-oriented software engineer with deep experience in HPC and AI software stacks. - Experienced with distributed AI systems, orchestration frameworks, or agentic AI architectures. - Comfortable working close to hardware and instruction-level programming. - Skilled at translating performance targets into architectural and software requirements. - Experienced in runtime systems, profiling, and low-level optimization. - Motivated by hardware–software co-design and scaling next-generation AI infrastructure. What We Need - Strong background in HPC and AI software development. - Solid understanding of RISC-V architecture (ISA, extensions, micro-architectural implications). - Proficiency in C/C++ and systems programming. - Experience optimizing performance-critical code paths. - Experience with agentic AI frameworks, distributed execution systems, or orchestration platforms. - Familiarity with compiler toolchains (LLVM, GCC). - Experience with vectorization, custom ISA extensions, or accelerator integration. What You Will Learn - How AI and agentic workloads map to RISC-V microarchitecture. - Custom ISA extension design for AI acceleration. - End-to-end HPC/AI/agentic stack integration. - Runtime orchestration for distributed AI systems. - Hardware–software co-design for scalable AI-native CPU platforms. 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.
High Speed AI Interconnect Signal Integrity Engine...
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. Tenstorrent is seeking a senior High Speed Interconnect / Signal Integrity Engineer to design and validate high-bandwidth links for large-scale AI systems. You will define, model, and qualify interconnect solutions across copper and optical technologies for next-generation AI inference and training clusters. This role is on-site in Santa Clara, CA, Austin, TX, or Toronto, Canada. We welcome candidates at various experience levels. 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 - An experienced electrical engineer with a Bachelor’s or Master’s in Electrical Engineering. - 5+ years working on high-speed communications (100G–1.6T), including signal integrity, channels, and links. - Comfortable building and owning link and channel budgets and making clear tradeoffs between reach, loss, BER, and margin. - Hands-on with SI tools and lab equipment such as Keysight ADS, VNAs, TDRs, BERTs, and protocol analyzers. - Familiar with cable specification and testing, as well as accelerated life testing, mating life, and failure analysis. - Able to collaborate across hardware, systems, and manufacturing teams; manufacturing/DFM/DTM experience is a plus. What We Need - Define and specify high-speed interconnect architectures between systems within large AI clusters. - Develop requirements, validation plans, and test strategies for passive and active copper cables and optical transceivers at 100G, 400G, 800G, and 1.6T. - Document topologies, routing assumptions, and cable requirements for internal and customer-facing clusters. - Perform link and channel budget analysis, including loss, jitter, eye margin, and BER considerations across PVT and aging. - Lead and execute qualification and reliability testing, including accelerated life testing, mating life, and failure analysis for interconnect components. - Interface with key industry suppliers, track their roadmaps, and align Tenstorrent’s system designs to future interconnect capabilities. What You Will Learn - How to design and validate interconnects for large-scale AI training and inference clusters, spanning multiple generations of Tenstorrent silicon and systems. - Practical methodologies for closing SI margins at cutting-edge speeds (up to 1.6T) across diverse media (backplane, copper cable, optics). - How to translate supplier roadmaps and standards into concrete system requirements and deployment constraints for real customer workloads. - End-to-end exposure to AI system architecture, from rack-level topology choices down to connector, cable, and transceiver details, in collaboration with world-class AI hardware and systems teams. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. 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.
Sr Scientist II, Computational Discovery Science
Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. We are seeking a motivated and talented Senior Scientist II to join the Computational Discovery Science team. This scientist will contribute to a team focused on identifying novel targets for cancer therapeutics by developing and applying computational methods for drug discovery. You will leverage Tempus’ large clinico-genomic database alongside functional and molecular assays applied to patient-derived organoids (PDOs). This role demands a blend of creative and strategic thinking, leadership skills, and a passion for groundbreaking research. This is a highly collaborative role, requiring close partnership with AI/ML scientists, as well as computational and modeling lab biologists. You will also be client-facing, responsible for effectively communicating complex results to a diverse audience, including life science pharma and biotech partners. Responsibilities: Scientific & Computational Strategy: ● Utilize novel analytical methods applied to multi-modal data—such as genomic, imaging, and clinical data—to identify targets in patient sub-populations. ● Apply in silico methodologies to Tempus Real-World Data (RWD) to identify molecular, biological, and clinical patterns associated with specific patient populations. ● Leverage multimodal data to compress complex data into joint embeddings, enabling robust clustering of patients and the identification of novel molecular subtypes. ● Utilize the LLM-orchestrated Tempus Loop Agent architecture to autonomously prioritize ● In partnership with Tempus’ modeling lab, use data from CRISPR and cell perturbation experiments in patient-derived organoids to identify and validate novel targets. Leadership & Independent Contribution: ● Independently execute complex translational or real-world evidence research projects integrating molecular and clinical data from the Tempus multimodal data platform. ● Work closely with cross-functional teams across R&D and the broader Tempus organization, including product engineering, clinical genomics labs, data science, and medical teams. Scientific Communication: ● Communicate scientific and technical plans and outcomes to a cross-functional group of project and senior leadership stakeholders, both internal and external partners. ● Present scientific findings clearly and meaningfully to diverse sets of external stakeholders and non-technical audiences. ● Author abstracts, posters, and peer-reviewed publications to illustrate the value of multimodal analysis and AI in drug discovery. Qualifications: ● Education: PhD in a quantitative discipline (e.g., Bioinformatics, Computational Biology, Data Science) or Life Sciences with a strong computational publication record. ● Experience: PhD with 4+ years of work experience leveraging genomic and multimodal data with machine learning approaches to address questions in complex diseases, especially cancer. ● Technical/Scientific Skills: Proficient in R, Python, and SQL. Strong understanding of Cancer, Genomics, and/or Immunology. Extensive prior experience analyzing genomic data and running statistical/machine learning models . ● Communication Skills: Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to diverse audiences. ● Leadership Skills: Multidisciplinary project team leadership experience and a demonstrated ability to lead complex projects. Preferred Qualifications: ● Familiarity with the use of patient-derived organoid (PDO) models for target identification and validation, biomarker discovery, and identifying a drug’s mechanism of action (MOA) or preclinical proof-of-concept (POC). ● Experience with early-stage drug development, including target discovery and biomarker identification. ● Experience analyzing single-cell RNA sequencing and spatial transcriptomics. ● Proficient in computational biology packages and environments including Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, RStudio, tidyverse, ggplot, Git, Docker, and AWS. ● Experience with R package development. ● Comfort in a client-facing role with prior consulting and/or client-facing experience. ● Ability to thrive in a fast-paced environment and willingness to shift priorities seamlessly. NYC/SF: $145,000-$190,000 USD The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. Additionally, for remote roles open to individuals in unincorporated Los Angeles – including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Data Scientist II, Outcomes Research
Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. About Tempus and the Outcomes Research Team Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus’ proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. The Outcomes Research team partners with external Pharma, biotech, and academic institutions to provide best-in-class data, analysis, and methodological guidance for Tempus’s real-world data (RWD) offering. We are seeking a highly motivated and capable Sr. Data Scientist with extensive experience in the design and analysis of pharmacoepidemiologic and health economic outcomes research (HEOR) studies. Responsibilities: Lead and execute HEOR and real-world evidence (RWE) projects (e.g., outcomes analysis, treatment patterns, healthcare resource utilization) with external Pharma, academic, and other partners. Represent the Outcomes Research function and collaborate with internal and external stakeholders in the design, analysis, interpretation, and publication of real-world studies. Work on complex problems, exercising judgment in selecting and adapting appropriate epidemiologic and health economic methodologies. Partner with interdisciplinary groups of scientists, engineers, and product developers to translate research into clinically actionable insights for our clients. Stay current with the latest methodological advances in RWE, including causal inference and pharmacoepidemiologic methods. Build analytical infrastructure, including reusable code, templates, and workflows that improve speed and quality across engagements. Comply with all applicable regulations, Tempus data governance, and company procedures related to real-world data use and reporting. Required Experience: Advanced degree (Master’s with 2+ years experience or equivalent) in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or related quantitative field. Demonstrated computational skills using R and SQL, specifically applied to large-scale healthcare datasets. Preferred Qualifications: Strong data manipulation and analytical skills tailored to observational/real-world data. Deep familiarity with HEOR and RWE methodologies, including approaches to address confounding (e.g., propensity score matching, weighting, inverse probability of treatment weighting). Experience analyzing large, complex real-world datasets, including administrative claims, electronic health records (EHR), and/or clinico-genomic databases. Strong communication and presentation skills with the ability to translate complex methodologies and findings for non-technical stakeholders. Self-driven mindset with demonstrated ability to tackle ambiguous problems and work effectively in interdisciplinary teams. Experience with time-to-event analysis and survival methodologies. Experience working in oncology and/or analyzing outcomes related to cancer genetics, immunology, or molecular biology. Collaborative working style, eagerness to learn, and high-integrity work ethic. Sharp attention to detail and a passion for delivering high-quality, timely analytics. Ability to draw appropriate inferences based on study design and explicitly assess and communicate study limitations. Nice to have: Experience with version control (e.g., Git) and software testing or validation processes. Experience working in oncology Phase II-IV clinical trials and/or experience with the analysis of RWD and/or HEOR studies (e.g. using claims, EHR or registry data sources). Hands-on experience contributing to regulatory submissions to the FDA or other health authorities. Experience supporting data science teams in model building and validation, including feature engineering and performance assessment. Client-facing or consulting experience and comfort presenting results and recommendations to external stakeholders. #LI-BL1 CHI: $90,000-$135,000 NYC/SF: $100,000-$150,000 The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. Additionally, for remote roles open to individuals in unincorporated Los Angeles – including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Strategic Partnerships Manager
ABOUT US Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. THE ROLE As a Strategic Partnerships Manager, you'll be the primary point of contact for our key accounts, responsible for nurturing relationships and ensuring customer success. You'll work closely with ML teams to understand their unique challenges and leverage our platform to deliver exceptional value in AI language model training. WHAT YOU’LL DO - Manage key accounts as a trusted advisor, developing a deep understanding of clients' AI strategies and overseeing high-quality data projects to ensure they meet SLAs and goals - Lead cross-functional collaboration, interfacing with engineering and operations teams while supervising project runners to ensure excellent deliverables and timely execution, leveraging expertise in data quality assessment and improvement methodologies - Drive client relationship management by maintaining strong connections, ensuring satisfaction, addressing concerns, and acting as the primary point of contact WHAT WE’RE LOOKING FOR - Experience in account management or project leadership in tech or AI-related fields, with a proven track record of successfully delivering complex solutions - Resourceful problem-solver with a strong grasp of AI and machine learning concepts, particularly in natural language processing, able to translate technical requirements into actionable project plans - Self-motivated professional with excellent communication skills, capable of articulating complex technical solutions and independently optimizing systems to meet client needs
RL Environments Architect
ABOUT US Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. THE ROLE As an RL Environments Architect, you’ll design, instrument, and govern the simulated worlds where agents learn — from compact task microcosms to multi-agent, tool-using ecosystems. You’ll define the primitives, reward structures, interfaces, and telemetry that let us stress-test emerging capabilities while keeping training signals faithful, stable, and scalable. Not only will you build environments, you’ll craft standards for data quality and reproducibility across large-scale agent gyms. This is a role for someone who sweats the details of simulation fidelity, thinks in terms of coverage and failure surfaces, and loves turning messy real-world phenomena into learnable curricula. Your work will form the backbone for safe, rapid progress in agentic systems. WHAT YOU'LL DO - Architect a modular environment framework with clear APIs, curriculum scaffolds, and configurable reward/termination schemas - Establish quality bars: coverage metrics, invariance checks, and trace audits for environment outputs and agent experience buffers - Instrument rich telemetry for episode rollouts; mitigating reward hacking, mode collapse, and exploitable loopholes - Partner with researchers to translate real-world tasks into robust simulations, including synthetic data generators and evaluation suites WHAT WE’RE LOOKING FOR - Simulation & Systems Depth – Experience building RL environments or simulators (e.g., custom physics, multi-agent, tool APIs) with an eye for determinism, performance, and observability - Data Quality Leadership – Strong instincts for designing reward functions, scenario taxonomies, and QA pipelines that keep signals aligned and drift-free - Builder’s Mindset – Comfort collaborating across research and engineering to ship pragmatic, testable environments that evolve with model capabilities
Research Scientist
ABOUT US Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. THE ROLE As a Research Scientist focused on data, you’ll work at the cutting edge of LLM development by designing the datasets that shape how frontier models behave. You’ll partner directly with AI research teams to experiment with new data collection strategies, evaluate dataset quality, and uncover insights that improve alignment, safety, and model performance. This is a research-driven, impact-heavy role: you’ll have the opportunity to test ideas quickly in live production environments, shape data-centric methodologies for some of the world’s top AI labs, and help define how high-quality data fuels the next generation of AI systems. WHAT WE’RE LOOKING FOR - Deep Curiosity About Data – Obsession with understanding how the structure, quality, and selection of data influence LLM performance - Bias Toward Insight and Iteration – You think critically but move fast, designing lightweight experiments to generate actionable results - Desire to Shape AI Development – Drive to build the foundational data layer that defines how the next generation of AI systems behave WHAT YOU'LL DO - Research data collection strategies and designing high-impact data slices that uncover model failure modes - Model annotator behavior and designing experiments to optimize instruction clarity and reward signal reliability - Develop metrics and frameworks for evaluating dataset quality, diversity, and impact on downstream model alignment
Human Data Architect
ABOUT US Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like OpenAI, Anthropic, Meta, and Google. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. THE ROLE As a Human Data Architect at Surge, you'll design the systems that govern how human data is collected, structured, and delivered to train frontier AI models. This means thinking carefully about task design, evaluation methodology, and data pipeline architecture — with a constant eye on how design choices upstream affect model behavior downstream. This role sits at the intersection of ML post-training and human data collection methodology. You'll need to understand what makes a good SFT example, what an RLHF pipeline needs to produce useful training signal, and how to structure evaluation datasets that actually discriminate between model capabilities — and then build the collection and delivery systems to produce that data reliably at scale. WHAT YOU'LL DO - Architect end-to-end data workflows — from task design through quality assurance and delivery — ensuring each stage produces data that is well-structured for its post-training purpose (e.g., SFT, RL, model evaluation). - Design collection structures and task frameworks that translate what clients need from a model into concrete, scalable data generation processes. - Build and monitor data quality frameworks that catch problems before they reach the client. - Partner with engineering and product teams to improve data pipelines, identifying where structural or methodological changes can improve throughput without sacrificing quality. - Translate patterns in data quality and project structure into actionable insights that inform project design, client deliverables, and product development. WHAT WE'RE LOOKING FOR - Experience designing human data collection at scale — e.g., in computational cognitive science, HCI, crowdsourcing research, or a similar field where you've thought carefully about how to get reliable signal from human participants. - Familiarity with ML post-training paradigms (e.g., SFT, RL) and a working intuition for how data quality decisions map onto model outcomes. - Strong technical skills with the ability to work across data pipelines, not just analyze endpoints. - Systems-level thinking — you understand how task design choices propagate into training data and you design accordingly. - Excellent communication skills — you can explain measurement concepts to engineers and engineering constraints to researchers.
AI Programs Analyst, Finance Domain
ABOUT US Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance. Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta. At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding. THE ROLE As an AI Programs Analyst focused on the Finance Domain, you'll lead finance-focused AI initiatives that directly impact our products and customers. You'll leverage your deep understanding of financial concepts — modeling, analysis, accounting standards, risk frameworks — to ensure our AI programs produce expert-level outputs for finance use cases. This role is ideal for someone with a strong finance foundation who thrives in rapidly scaling, high-ambiguity environments. You should be able to seamlessly pivot between customer calls with financial institutions, hands-on project execution, and strategic conversations about how AI can transform financial workflows. WHAT YOU’LL DO - Lead finance-domain AI programs — Own delivery of AI training, evaluation, and data projects in areas like financial analysis, equity research, credit assessment, regulatory compliance, and quantitative modeling. - Serve as the finance expert — Provide expert-level guidance and design quality frameworks to ensure AI outputs meet the rigor expected by finance professionals. - Drive cross-functional execution — Manage multiple simultaneous projects, set timelines, and coordinate across engineering, operations, and customer teams. - Bridge finance and AI — Translate domain knowledge into actionable guidance for AI/ML teams while interfacing with financial services clients to scope requirements and deliver value. WHAT WE’RE LOOKING FOR - 2–5 years in finance roles such as investment banking, equity research, FP&A, asset management, risk, audit, or financial consulting. CFA or CPA is a strong plus. - Strong analytical skills with comfort in financial modeling, data analysis, and interpreting complex financial statements. - Track record of managing complex projects in fast-paced environments with the ability to navigate ambiguity and balance competing priorities. - Strong interpersonal skills that enable you to influence without authority and communicate financial concepts to technical and non-technical audiences. - Deep interest in AI systems — direct AI/ML experience valued but not required.
Trust & Safety Operations Manager
ABOUT SUNO We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfillment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world. Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible. Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA). Listen to the Suno version of this role! https://suno.com/s/bWZ30M98bvirsCPq THE ROLE You will own the operating floor of Trust & Safety at Suno: review queues, vendor capacity, quality programs, SLAs, and escalation workflows. Our enforcement system blends automated decisioning with human judgment, and your job is to make the human side of that system fast, accurate, and worth every dollar it costs. You will report to our Trust & Safety lead and work closely with Product, Eng, Legal, Comms, and the broader Operations team. WHAT YOU'LL DO - Run day-to-day enforcement operations: queue health, latency, SLA attainment and escalation handling across all content categories. - Own vendor and BPO performance: capacity forecasting, quality enforcement, contract performance and site management. - Build and run the training, QA, and calibration program that keeps decision quality measurable and improving. - Manage capacity planning against rapid volume growth, including the tradeoffs between headcount, vendor spend, and automation. - Define tooling requirements for reviewer workflows and partner with Engineering to ship them. - Support reviewer wellness and resilience programs for the teams doing the hardest work on the platform. WHAT YOU'LL BRING - 5+ years in Trust & Safety, content moderation, or CX operations, including 2+ years directly managing reviewers or vendor teams. - Ownership of operational metrics you can speak to concretely: SLA attainment, queue latency, QA scores, cost per decision, reviewer utilization. - Hands-on vendor or BPO management with real performance accountability, not just relationship handling. - Experience building or running a QA and calibration program with measurable decision-quality outcomes. NICE TO HAVE - Operating experience alongside ML-assisted enforcement: queue routing on model scores, human-in-the-loop workflows. - Reviewer wellness and resilience program exposure. - UGC or generative AI platform background. PERKS & BENEFITS - Company Equity Package - 401(k) with 3% Employer Match & Roth 401(k) - Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options) - 11 Paid Holidays + Unlimited PTO & Sick Time - 16 Weeks of Paid Parental Leave - Creative Education Stipend - Generous Commuter Allowance - In-Office Lunch (5 days per week) COMPENSATION AND BENEFITS $128K -$168K Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.
Staff / Senior Software Engineer, Product Teams
ABOUT SUNO We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfillment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world. Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible. Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA). ABOUT THE ROLE Suno is growing fast, and we’re hiring Staff and Senior Software Engineers to work on the products that define how people experience music on our platform. We have multiple teams tackling different dimensions of this challenge — from how content reaches users, to how users connect with each other, to how AI gives music a visual identity. You’ll apply once, and during the interview process we’ll work with you to find the team that’s the best mutual fit based on your background, technical strengths, and what gets you excited. What all of these teams share: they’re building consumer-facing products at scale, they own their systems end-to-end, and they thrive on rapidly turning ambiguous problems into world class production-grade products. They have a nose for impact, and take on work from the 2-character performance fixes all the way through introducing brand new company-wide products, directly driving Suno’s top-line company goals. Check out our Suno version of the job here: https://suno.com/s/OOxz00UgGKVmC3gY WHAT YOU’LL DO Regardless of team, you’ll: - Own products and systems end-to-end — from scoping what to build, to shipping, to monitoring and iterating post-launch - Build backend and full-stack systems that serve millions of users with high performance and reliability - Design clean, scalable APIs consumed by web, iOS, and Android clients - Collaborate closely with Product, Design, Data Science, and peer engineering teams - Run experiments, instrument metrics, and make data-informed decisions about what to build next - Communicate proactively and with high bandwidth — concise & information-dense async updates, stakeholder alignment, low entropy - Raise the technical bar through code quality, architectural thinking, crisp abstractions, and mentorship AREAS YOU COULD WORK ON We’re hiring across several product areas. During the process, we’ll match you to the one that fits best. Here’s a flavor of the kinds of problems our teams are solving: - Building and optimizing content feeds, playback systems, and discovery experiences that make listening on Suno feel instant and personalized - Creating the social layer that turns Suno from a creation tool into a creative network — profiles, follow graphs, engagement notifications, publishing flows, and new social formats - Developing AI-powered visual products that give music a visual identity — generative cover art, AI music videos, and image-to-video experiences using cutting-edge inference models all the while inventing novel interface design patterns that keep the human front-and-center. - Partnering with recommendation systems to make content more personalized and relevant over time - Designing mobile-first APIs and working hand-in-hand with iOS and Android engineers - Reducing inference costs and latency for AI-generated content at consumer scale WHAT YOU’LL NEED Required - 5-7+ years of software engineering experience - Backend or full-stack experience building consumer products at scale - Strong API design skills — you’ve built APIs consumed by multiple client teams and have opinions about how they should work - A generalist, get-it-done attitude paired with genuine technical depth in at least one area - Comfort with high ambiguity — you can scope what matters, make tradeoffs, and drive forward without a fully defined spec - Excellent communication skills — your written updates are clear and dense, and you collaborate well across teams - Product intuition — you think about the end user in addition to the system Strong Plusses (one or more of the following) - Experience with feed architecture, recommendation systems, content ranking, or search/retrieval at scale - Experience shipping social product features (follow graphs, notifications, engagement systems, publishing flows) at a consumer company - Power user of social media with genuine intuition for why engagement mechanics work (familiar with network effects, NFX literature, creator dynamics) - Hands-on experience with AI image and/or video model inference — diffusion models, token-based inputs, LoRA tuning, inference optimization - Full-stack capability including modern frontend (React, TypeScript, NextJS) - Mobile-first API design experience working directly with iOS/Android teams - Experience building 0→1 products and existing on existing products in a startup environment - Web experience with Python, Django, Kafka, Elasticsearch, Postgres, Redis - Technical leadership experience - A love of music, whether you’re an avid listener or musician yourself ADDITIONAL NOTES - This role is based in New York City. - Applicants must be eligible to work in the US. COMPENSATION The annual salary range for this role is $228K – $363K + target equity + benefits (including medical, dental, vision, and 401k) PERKS & BENEFITS FOR FULL-TIME EMPLOYEES - Company Equity Package - 401(k) with 3% Employer Match & Roth 401(k) - Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options) - 11 Paid Holidays + Unlimited PTO & Sick Time - 16 Weeks of Paid Parental Leave - Creative Education Stipend - Generous Commuter Allowance - In-Office Lunch (5 days per week) Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.
Senior / Staff Data Scientist, Growth Monetization
ABOUT SUNO We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfillment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world. Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible. Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA). ABOUT THE ROLE As a Data Scientist on Growth Monetization, you'll drive all things monetization from the data science perspective: how we price, package, convert, and retain. That spans our subscription business today and new business bets we're actively exploring. You'll shape how we grow revenue at Suno, and work very cross functionally across product, engineering, design, and the rest of the data science team WHAT YOU'LL DO - Drive all things monetization, from subscription conversion and churn to the revenue models for our newest business bets - Design and run experiments across pricing, packaging, paywalls, offers, and other revenue surfaces - Build the data foundation for new business lines from day one: the metrics, funnels, and unit economics for products that are just taking shape - Sit on a centralized data science team but serve as the lead DS for your product area, collaborating closely with product, engineering, and design - Advance our mission of making creative fulfillment a daily reality for everyone by building a business model that works for every kind of creator - Contribute to building strong data foundations as part of our awesome data science team WHAT YOU'LL NEED MUST-HAVES - 6-8+ years in data science or product analytics roles, ideally owning a revenue or growth surface - Advanced proficiency in SQL, Python, and statistical modeling - Deep experimentation experience grounded in statistical rigor: designing and running experiments end to end, deriving clear insights, and making strategic recommendations - Hands-on experience with monetization problems (conversion funnels, churn and retention, pricing and packaging, or the economics of a new product line) - A broad data science toolkit and the judgment to pick the right tool for the right question - Thrive in ambiguity, excited to wear multiple hats, and never stop learning - Excellent cross-functional collaborator: can work closely with product, eng, and design, and influence stakeholders across the company through data NICE-TO-HAVES - Experience monetizing more than one kind of product: consumer and business, self-serve and sales-assisted, or subscription and usage-based - Experience taking a new product or business line from zero to its first revenue - Hands-on AI usage in day-to-day data science work (agents, prompting, building small tools) - A love of music or creative tools WORK LOCATION POLICY This role is expected to work from the designated Suno office 5 days a week, per Suno's company policy. Full-time employees will receive competitive equity packages, and comprehensive benefits. The actual base salary offered may vary depending on location, skills, qualifications, and experience ADDITIONAL NOTES Applicants must be eligible to work in the US PERKS & BENEFITS FOR FULL-TIME EMPLOYEES - Company Equity Package - 401(k) with 3% Employer Match & Roth 401(k) - Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options) - 11 Paid Holidays + Unlimited PTO & Sick Time - 16 Weeks of Paid Parental Leave - Creative Education Stipend - Generous Commuter Allowance - In-Office Lunch (5 days per week) COMPENSATION: - The annual salary range for this role is $220K – $320K + target equity + benefits (including medical, dental, vision, and 401k) Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.
Privacy Engineering Lead
ABOUT SUNO We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfillment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world. Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible. Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA). ABOUT THE ROLE We're looking for a Privacy Engineering Lead to build Suno's privacy and AI governance function from scratch. You'll set the technical direction for how we handle data and permissions across our platform, models, and agents — building the infrastructure that enforces policy at the point of use and verifies outcomes like retention and deletion. You'll partner closely with Legal and Product while hiring and growing your own engineering team to scale this work across the company. WHAT YOU'LL DO - Build the policy foundations for how Suno handles data, permitted uses, and AI, in partnership with Legal. - Own data discovery, classification, and permissions mapping across our product, analytics, and vendor systems. - Design and operate governance controls across our products, data platforms, models, and agents, enforcing consent, access, and data-sharing rules. - Lead verified user rights operations, including access, correction, deletion, and consent management, partnering with Product on self-service tools. - Hire and grow a dedicated privacy engineering team, giving this work the focused ownership it needs to scale. - Help make responsible data handling part of how Suno builds every new model and feature, in service of making creative fulfillment a daily reality for everyone. WHAT YOU'LL NEED MUST-HAVES - 8-10 years hands-on software engineering experience, with the technical depth to help build and ship enforcement infrastructure yourself, not only define policy for others to implement. - Deep experience in privacy engineering or data governance, including working familiarity with regulatory frameworks like GDPR and CCPA. - Experience as an engineering manager who has maintained real technical depth, or as a Staff+ engineer ready to grow into people management. NICE-TO-HAVES - Experience with AI/ML governance, model evaluation pipelines, or generative AI systems. - Background at a consumer tech company at scale, or one with a significant European user base. - Prior experience as an early or founding privacy/governance hire at a growing company. WORK LOCATION POLICY This role is expected to work from the designated Suno office 5 days a week, per Suno's company policy. Full-time employees will receive competitive equity packages, and comprehensive benefits. The actual base salary offered may vary depending on location, skills, qualifications, and experience. ADDITIONAL NOTES Applicants must be eligible to work in the US. PERKS & BENEFITS FOR FULL-TIME EMPLOYEES - Company Equity Package - 401(k) with 3% Employer Match & Roth 401(k) - Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options) - 11 Paid Holidays + Unlimited PTO & Sick Time - 16 Weeks of Paid Parental Leave - Creative Education Stipend - Generous Commuter Allowance - In-Office Lunch (5 days per week) COMPENSATION: - The annual salary range for this role is $276,960 - $363,510 + target equity + benefits (including medical, dental, vision, and 401k) Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.
Director, Trust & Safety
ABOUT SUNO We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfillment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world. Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible. Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA). THE ROLE You will lead Trust & Safety at Suno. Directly leading enforcement operations and policy, you will also partner with PM, Eng, and Legal to scale detection and remediation of violative content, fraud, bots, and identity issues, while also navigating music rights and our regulatory obligations. Generation volume grows faster than any human review model can, so we focus on building enforcement systems that scale with the platform, hold it to a high degree of accuracy, and know exactly what decisions costs. You will report to the Head of Operations and partner regularly with Comms, Product, Engineering, ML, and Legal. Listen to the song we made about the role: https://suno.com/s/QawvJRO3jhDr1Cb8 WHAT YOU'LL DO - Build and lead the T&S team, including enforcement operations, policy, vendor programs, quality management, and training. - Own enforcement economics end-to-end: cost per decision, precision and recall tradeoffs at volume, automation rate targets, queue design, and the vendor versus in-house mix. - Govern AI-assisted decisioning: model-assisted enforcement pipelines, human-in-the-loop thresholds, appeals architecture, and audit accountability for automated actions. - Own the BPO relationship and every Trust & Safety vendor partnership: selection, contract negotiation support, capacity strategy, quality accountability, and the decision of what stays outsourced versus moves in-house - Run the operational layer of music rights enforcement: rights-matching abuse patterns, impersonation and copyright workflows, in close partnership with Legal. - Partner with Legal to translate regulatory regimes (DSA, OSA and emerging AI-content rules) into tooling, process and measurable operational readiness. - Represent Trust & Safety to executive leadership with clear metrics and honest tradeoffs. WHAT YOU'LL BRING - 8+ years in trust & safety, integrity, or content operations, including 4+ years leading teams through significant scale inflections. - Demonstrated ownership of enforcement metrics at a UGC or generative AI platform: automation rate, decision accuracy, cost per action, appeal overturn rate. - Experience building or governing model-assisted enforcement with human-in-the-loop design and audit accountability. - A track record of moving Product, Engineering, Legal, and Policy without direct authority. NICE TO HAVE - Music, media or IP-adjacent platform experience and fluency in rights-matching abuse patterns. - Direct exposure to DSA, OSA or emerging AI-content regulatory regimes as operational requirements. COMPENSATION AND BENEFITS The annual salary range for this role is $195,200 - $256,200 + target equity + benefits (including medical, dental, vision, and 401k) Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.
Director of Customer Support
ABOUT SUNO We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfillment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world. Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible. Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA). ABOUT THE ROLE If you’ve spent your career building world-class support organizations and you’re itching to rebuild one from the ground up — AI-first, data-driven, and at real scale — this is the role. As Director of Customer Experience (Support) at Suno, you’ll own our customer support function end-to-end: setting and managing SLAs, running a lean P&L, and ensuring every user who needs help gets a high-quality experience. You’ll lead a team of 6–8 support ICs and partner closely with Trust & Safety, Product, Billing, Legal, and Policy to solve some of our hardest customer-facing problems. You’ll report to the Sr. Director of Customer Experience & Safety. WHAT YOU’LL DO - Define, track, and manage to SLAs across all support channels — using data to surface trends, identify gaps, and drive continuous improvement in resolution time and quality. - Own the support P&L, managing costs while scaling capacity intelligently as the product and user base grow. - Design the right support experience for each problem type — deciding when a user needs a human, an AI agent, a help article, or a proactive fix upstream in the product. - Build and iterate on operational processes that make the team faster, more consistent, and less reliant on manual effort — including launching new support channels. - Lead and develop a team of 6–8 support ICs, setting clear expectations, coaching on quality, and building a culture that’s as data-minded as it is customer-obsessed. - Partner with Product, T&S, Billing, and Legal to close the loop between support signals and product decisions — helping Suno build toward a future where creative fulfillment is a daily reality for everyone. WHAT YOU’LL NEED MUST-HAVES - 7–9 years of experience in support leadership, with a track record of building and managing high-performing teams. - Background in consumer technology — you understand what it means to support a large, diverse user base with high expectations and low tolerance for friction. - Experience building or scaling multi-channel support operations (email, chat, in-app, etc.). - A genuinely data-driven operating style — you set goals in metrics, track them rigorously, and use data to make decisions, not just report outcomes. - Experience managing a support P&L or cost-per-ticket model. - Strong process instincts — you document, systematize, and build for repeatability. - Experience with AI-native or AI-assisted support tooling (deflection flows, chatbots, copilots for agents, or similar). NICE-TO-HAVES - Hands-on experience building with LLM-powered support tools — prompt design, workflow automation, or agent evaluation. - Familiarity with Trust & Safety-adjacent support workflows. - Background in the music industry or a music-adjacent platforms, whether working with artists, labels, or music creators, with the ability to speak fluently about music production, audio editing, and/or the creative process - Experience scaling a support org through rapid company or product growth. - Hands-on work operating tiered support models across distinct customer segments, including free and paid subscribers, enterprise or API clients, and high-profile creators or artists, with a strong sense of when and how to escalate and how to calibrate the experience for each tier - Background supporting billing, fraud, or identity-related user issues. - Experience running community or self-serve support programs (help centers, forums, FAQs). WORK LOCATION POLICY This role is expected to work from the designated Suno office 5 days a week, per Suno’s company policy. Full-time employees will receive competitive equity packages, and comprehensive benefits. The actual base salary offered may vary depending on location, skills, qualifications, and experience. ADDITIONAL NOTES Applicants must be eligible to work in the US. Willingness to travel (up to 10%) to collaborate with team members across Suno office locations. PERKS & BENEFITS FOR FULL-TIME EMPLOYEES - Company Equity Package - 401(k) with 3% Employer Match & Roth 401(k) - Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options) - 11 Paid Holidays + Unlimited PTO & Sick Time - 16 Weeks of Paid Parental Leave - Creative Education Stipend - Generous Commuter Allowance - In-Office Lunch (5 days per week) Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.
Forward Deployed Engineer
Spellbook is the most comprehensive AI copilot for transactional lawyers. It works directly inside Microsoft Word to help legal teams draft, review, and negotiate contracts up to 10x faster and with greater precision. Today, more than 4,000 law firms, in-house teams, and solo practitioners rely on Spellbook to simplify their workflows and eliminate the drudgery of everyday contract work. We are backed by leading investors including Khosla Ventures, Thomson Reuters Ventures, Inovia Capital, The LegalTech Fund, Bling Capital, and Moxxie Ventures. The company recently raised $50 million in Series B funding, led by Keith Rabois at Khosla Ventures, bringing its total funding to more than $80 million. *This is an existing vacancy ABOUT THE ROLE Spellbook is seeking a Forward Deployed Engineer to join our team. In this role, you’ll work directly with large law firms and in-house legal teams to integrate Spellbook into real-world enterprise environments and workflows. You’ll be responsible for deploying and customizing AI-powered systems that integrate seamlessly with document management systems, internal tools, knowledge stores, identity systems, and other enterprise infrastructure. As a Forward Deployed Engineer, you’ll be a critical member of our growing engineering team. You’ll operate at the intersection of engineering, product, and customer success, with a focus on three key areas: - Owning enterprise deployments: Partner closely with customers to understand legal workflows and technical environments. Lead end-to-end implementation of Spellbook in complex enterprise organizations and translate ambiguous requirements into production-ready systems. - Building AI-native workflows: Design and implement workflow-heavy solutions that integrate cleanly into enterprise tools and processes, including approvals, permissions, routing, auditability, and review loops. - Driving customer impact: Work directly with end users to iterate quickly on feedback, improve adoption, and identify repeatable patterns that help shape the future direction of the platform. THE TECH STACK Node.js, TypeScript, Express, tRPC, MongoDB, Docker, AWS, CDK, LLM providers (OpenAI, Anthropic, and others) RESPONSIBILITIES - Own enterprise deployments end-to-end: Partner with customers to understand legal workflows and technical environments; lead implementations in complex organizations; translate ambiguous requirements into production systems. - Build integrations and AI-native workflows: Integrate Spellbook with document management systems (e.g. iManage, NetDocuments), identity systems, and internal APIs. Design and implement workflow-heavy solutions (approvals, routing, permissions, auditability) tailored to real enterprise constraints and tools. - Tailor and extend the product for customers: Tune model inference, augment context, and adapt the product experience to meet specific customer needs across deployments. - Drive adoption and impact: Work closely with end users (lawyers and legal ops), iterate rapidly based on feedback, and ensure solutions are reliable, performant, and actively used. - Feed insights back into the platform: Identify repeatable patterns across deployments and influence core roadmap and platform capabilities by turning custom work into scalable features. QUALIFICATIONS - 3–7 years of experience building and shipping production software systems. - Strong backend or full-stack engineering experience. - Experience building APIs and integrating with external systems. - Experience working with cloud environments (AWS, GCP, or Azure). - Exposure to LLM systems (e.g. RAG, prompting, evaluations). - Comfortable working directly with enterprise customers. - Strong ownership, with the ability to take vague problems from definition to shipped solution. NICE TO HAVES - Experience with enterprise SaaS deployments. - Familiarity with legal technology or document-heavy workflows. - Experience with security, compliance, and data handling practices such as SOC2. - Experience designing and building infrastructure on AWS with CDK. - Experience in fast-paced startup environments. WHY THIS ROLE IS UNIQUE - Youʼll work on high-impact enterprise deployments, not internal tooling - Youʼll solve real-world integration challenges that shape the product - Youʼll sit at the intersection of AI, systems engineering, and customer reality WHY JOIN SPELLBOOK? - Embrace autonomy and accountability in a flexible work environment; we focus on outcomes and empower you to determine how to get the job done - Access our company-paid group benefits for you and your family, with $1,000 towards mental health support - Disconnect during our holiday closure and take advantage of our generous time off policies throughout the year - Enjoy monthly paid meals, an annual wellness allowance to support your well-being and parental leave top-ups as your family grows - Secure your stake in our success; you’ll receive competitive stock option grants as a pivotal early employee INCLUSIVE HIRING AT SPELLBOOK We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Spellbook is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Spellbook is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation. USE OF ARTIFICIAL INTELLIGENCE IN RECRUITMENT Spellbook uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Spellbook team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Spellbook regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices. OUR COMPENSATION PHILOSOPHY Spellbook uses industry benchmark data to establish compensation bands for all roles. The salary range listed for a position reflects the expected total wage range for the role—including base salary and on-target commissions, where applicable—and may span multiple career levels. Final compensation is determined during the interview process based on factors such as experience, skills, scope, and role level. In addition to base salary and applicable commissions, total rewards may include equity, health and wellness benefits, and other company programs. Full details will be shared during the interview process.
Software Engineer — Security
About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role We are seeking a Security Engineer to evolve Snorkel's security posture across our cloud infrastructure, developer platform, and product ecosystem. You will partner with the security lead to secure cloud environments, build security automation, guide cross-functional initiatives, and embed security into our engineering workflows. You will work across infrastructure, platform, product, and application teams to ensure our systems scale securely and meet the bar required for modern, cloud-native, compliance-focused environments. This is a high-impact role where your ability to work effectively with others matters as much as your technical depth. Key Responsibilities - Build and scale Infrastructure as Code (IaC) governance strategies that embed security while enabling developer velocity - Operate and tune Cloud Security Posture Management (CSPM) tooling and coordinate remediation through engineering teams - Investigate security events , triage incidents, identify root causes, and own remediation through resolution - Architect secure AWS cloud account structures — landing zones, multi-account patterns, network segmentation, and cross-account role strategies - Design and implement network security architectures using security groups, Network Access Control Lists (NACLs), subnetting, routing layers, and egress controls - Establish secure-by-default design patterns across Kubernetes and containerized workloads - Design, maintain, and govern Identity and Access Management (IAM) role & policy architectures for both human and machine identities - Implement encryption everywhere — data-at-rest, data-in-transit, and key rotation using AWS Key Management Service (KMS) and related services - Conduct threat modeling , architecture reviews, and secure design assessments for new and existing systems - Assess and secure AI/ML product architectures , including trust boundaries, API boundaries, and data flow through training and inference pipelines - Build secure automation through Python, AWS-native services, and policy-as-code frameworks - Own complex security projects end-to-end — from discovery and design docs to implementation, rollout, and long-term ownership - Align cloud security strategy with relevant frameworks (NIST CSF, ISO 27001, SOC 2, CIS benchmarks) Professional Skills Security at a growing startup is not a solo effort. This role succeeds by making the entire organization more secure through the people and teams around you. These skills are not secondary to technical ability — they shape whether security work actually lands and delivers lasting impact. Communication & Influence - Communicates security risks, trade-offs, and recommendations clearly to both technical and non-technical audiences - Writes concise, structured technical documentation — design docs, runbooks, postmortems, and policy proposals that others can act on without follow-up clarification - Builds alignment on security priorities across teams without relying on positional authority — a small security team cannot mandate adoption; it must earn buy-in Cross-Functional Partnership - Builds trust with engineering, product, and infrastructure teams by proposing solutions that balance security posture with developer velocity — security controls that teams resist or work around deliver zero impact - Defaults to collaboration over enforcement — works with teams to find the right path forward rather than handing down requirements - Seeks to understand the workflows, constraints, and incentives of partner teams before proposing changes — the best security solution is one the team will actually implement and maintain Ownership & Judgment - Comfortable with broad ownership, context-switching, and exercising judgment without a large support structure — this role requires self-direction, not delegation - Exercises sound judgment on when to push hard on a security requirement versus when to accept managed risk with compensating controls - Balances thoroughness with pragmatism — delivers iterative security improvements that compound over time rather than waiting for perfect solutions that never ship - Manages multiple concurrent initiatives with clear ownership, status communication, and escalation when blocked Teaching & Growth - Multiplies impact by making others better — equips engineers across the organization to build securely by default through training, code review feedback, and accessible documentation - Frames security guidance as enablement rather than enforcement — helps teams understand the why behind requirements so they can make sound security choices on their own - Consistently seeks feedback, stays current on evolving threats and technologies, and treats gaps in knowledge as opportunities — a coachable mindset and commitment to continuous learning are essential in a domain that changes constantly Technical Skills & Experience The skills below are grouped into what we consider foundational for this role and additional areas where you will contribute and grow. Depth across every area is not expected — we value solid fundamentals and the ability to learn. Foundational - Programming skills in Python, Go, or similar languages , with the ability to build security tooling and automation - Experience building and operating systems at scale in cloud-native, containerized environments - Proficiency with Infrastructure as Code (Terraform) : writing modules, CI/CD pipelines, deployment governance, and security reviews - AWS cloud architecture : multi-account strategies, landing zones, environment isolation, and cross-account role design - Identity and Access Management (IAM) : role and policy architectures, least privilege, human and machine identity patterns - Network security : security groups, Network Access Control Lists (NACLs), Virtual Private Cloud (VPC) design, subnet segmentation, routing layers, and egress controls Additional Areas You'll Contribute To - Threat modeling and secure design assessments for new and existing systems - Encryption and key management : data-at-rest, data-in-transit, key rotation using AWS KMS, Secrets Manager, or HashiCorp Vault - Container and OS hardening : secure base images, hardened Amazon Machine Images (AMIs), runtime protections - Cloud Security Posture Management (CSPM) tooling — deployment, tuning, and coordinating remediation workflows through engineering teams - Security event investigation : triage, root cause assessment, and remediation ownership - Vulnerability management lifecycle: scanning, prioritization, tracking, and closure - AI/ML security : awareness of risks specific to AI/ML systems (prompt injection, data poisoning, model extraction, training data protection) and ability to assess trust boundaries in AI product architectures - Compliance and security frameworks : NIST CSF, ISO 27001, SOC 2, CIS benchmarks - Designing secure architectures for high-growth SaaS or cloud-native environments Preferred Experience (Nice-to-Have) - Secure development lifecycle (SDLC) practices : static analysis (SAST), software composition analysis (SCA), software bill of materials (SBOM) automation, secrets scanning, or bug bounty program management - Incident response : digital forensics and incident response (DFIR), forensic investigation, or on-call security operations - Detection engineering : Security Information and Event Management (SIEM) platforms, correlation rules, alert tuning, or Security Orchestration, Automation and Response (SOAR) playbooks - Offensive security : penetration testing, red team exercises, or adversarial testing of AI systems - Multi-cloud environments (GCP, Azure) in addition to AWS - Zero-trust architecture practices and secure workspace design - Data loss prevention (DLP) strategies for protecting training data and customer data What You'll Impact You will embed security from code to cloud — ensuring our systems, data, customer environments, and developer workflows operate securely at scale. This role carries broad influence, high ownership, and the opportunity to shape modern cloud security architecture across the organization. Snorkel is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location. Salary range(s) for this role $220,000 - $300,000 USD Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Senior Product Marketing Manager - Frontier Labs
About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Team Marketing at Snorkel is growing rapidly and anchored by high-ownership operators who lead independently, align cross-functionally, and consistently deliver outsized results. We partner across Sales, Product, Research, and the executive team to translate complex AI and data value into differentiated positioning, integrated programs, and field-ready enablement that accelerates growth. The culture is high standards, high autonomy, and high collaboration. About the Role Reporting to the Sr. Director of Product Marketing, the Product Marketing Manager, Frontier Labs will own the GTM execution for our frontier lab business. You will partner closely with Research, FDE, and frontier-facing sales teams to translate technical work into research-credible positioning, repeatable sales plays, and high-quality GTM programs that resonate with research and procurement leaders inside frontier labs. You will keep the frontier asset library (battlecards, technical one-pagers, decks, benchmark and eval narratives) sharp against a fast-moving market, and bring competitive and customer insight into every motion. This is a hands-on role for a product marketer who wants to operate at the frontier of AI alongside a world-class research and applied team. About You You are a product marketer with 5-8+ years of experience, including 2+ years on AI-native products, and a track record of delivering launches, enablement, and campaigns for technical buyers. You communicate complex technical value with clarity, partner credibly with research and engineering leaders, and use market and competitive insight to sharpen positioning and prioritize where to invest. You are fluent in the language of frontier AI: benchmarks, evals, RL, agentic systems, and the data behind them. You operate at startup speed without sacrificing quality. Responsibilities - GTM execution: Execute launches for frontier-facing offerings end-to-end, from positioning and messaging through asset development, enablement, and post-launch iteration, in close partnership with Research, Product, and Sales. - Sales enablement : Build and maintain the frontier enablement portfolio (decks, technical one-pagers, talk tracks, battlecards, demo and benchmark narratives) as a single source of truth, and develop repeatable sales plays tailored to research, evals/safety, and data procurement personas inside frontier labs. - Campaign & ABM partnership : Partner cross-functionally to develop integrated campaigns and ABM programs targeting frontier accounts. Drive continuous iteration based on pipeline signal and ensure product narrative is integrated across channels. - Competitive & market intelligence : Own competitive intelligence for the frontier space, maintain sales assets, track lab-side moves, and surface insights that shape positioning, roadmap input, and field strategy. - Research-credible content : Partner with Research to develop external content (benchmark and eval reports, technical blog posts, partnership announcements, co-marketing assets) that supports deal acceleration, sharpens positioning, and establishes Snorkel as a credible peer to frontier research teams. - GTM operations : Own and manage the intake process for frontier-lab-focused GTM and field requests, prioritize against revenue and strategic impact, and ensure the right asset, message, or play reaches the right audience with quality and speed. Requirements - Years of experience : 5-8+ years in product marketing, technical marketing, or related fields, including 2+ years focused on AI-native products. - Messaging & positioning : Deep expertise defining differentiated positioning and compelling product narratives, and integrating them into high-impact marketing across the funnel. - Technical communication : A seasoned communicator who can translate complex technical concepts for research, technical, and business audiences into high-impact storytelling, with comfort presenting to and writing for researcher-grade readers. - Execution excellence : Demonstrated ability to maintain quality and consistency across multiple workstreams while operating at the speed of an AI-native, high-growth environment. - Enablement : Proven success building sales plays and enablement assets (battlecards, one-pagers, decks) in B2B startup or scale-up environments, ideally for technical buyers. - Campaign & ABM : Hands-on experience contributing to integrated campaigns and ABM programs in close partnership with demand gen, especially against small, concentrated technical buyer sets. - Competitive intelligence : Track record of running a competitive intel function: sourcing signal, synthesizing insights, and arming the field with materials that win deals. - Data-driven : Analytical product marketer who combines 0-to-1 launch leadership with a disciplined approach to tracking KPIs and performance metrics. Bonus Points For - Frontier AI fluency : Working knowledge of frontier model development (benchmarks, evals, RL, post-training, agentic systems) and the data and environments behind them. - Technical or research background : Background in ML research, technical writing, developer relations, or product marketing for ML platforms, dev tools, or research-grade products. - Location : Based in or near San Francisco. - AI fluency in your craft : Experience leveraging AI to augment your own work, with a high bar for taste. Location This role is hybrid ( 3 days/week in office) in San Francisco, CA . Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location. Salary range(s) for this role $130,000 - $200,000 USD Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Senior IT Platform and Automation Engineer
About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! Job Description We're seeking a Senior IT Platform & Automation Engineer who treats internal infrastructure like a product—not a firefighting exercise. This is not a traditional helpdesk or "break-fix" role. You'll be the architect behind our internal employee experience, acting as the connective tissue between our office network, collaboration services, security stack, and core business systems (People Tech, CRM, and Engineering tools). If you prefer writing Python scripts over manually resetting passwords, and if you get excited about connecting Claude AI to Greenhouse via custom Slack workflows, we want to talk to you. This role is NOT: - A traditional helpdesk position. You won't be resetting passwords or shipping laptops. - A pure networking role. You'll touch networks, but automation is the priority. - A machine learning engineer role. You'll experiment with AI, but you won't build vector databases or train models. What You will Do Identity, Endpoint & Network (The Foundation) - Identity & Access Management: Own our IdP (Okta/Auth0). Implement and automate SSO, MFA enforcement, and SCIM provisioning across all SaaS tools. Enforce zero-trust principles everywhere. - Endpoint Lifecycle: Own the full hardware and MDM lifecycle. Automate device provisioning, configuration, and secure deployment using Jamf and Intune. Build zero-touch onboarding workflows. (Note: You will own the automation and security profiles; physical device shipping/fulfillment is handled by our IT Ops coordinators.) - Network Engineering: Design, deploy, and maintain high-availability office networking (cloud-managed switching/routing, Wi-Fi) and secure remote access solutions (ZTNA/VPN) for a hybrid workforce. We prioritize automation-first engineers. Custom Integrations & Automation (The Builder Work) - API Integrations: Architect and build custom integrations between our core SaaS stack—syncing data between Okta, Greenhouse, Notion, and our CRM to eliminate manual data entry. - Workflow Orchestration: Own our internal automation layer. We currently use a mix of lightweight no-code tools (Zapier, App Script, AppSheet) and custom Python. We're actively phasing out low-code for mission-critical paths—you'll have permission to replace them with proper code. To be clear: this is a coding-heavy role. You'll spend the majority of your time writing code, not clicking in UIs. The no-code tools are placeholders—we expect you to replace or maintain them. - Internal Tooling: Build and maintain internal dashboards and Slack apps that give employees self-service access to IT, HR, and facilities requests. AI & LLM Experimentation (The Innovation Work) - AI Integrations: Review and assess connectors (MCP) if available. Otherwise, build lightweight API wrappers and prompt engineering pipelines to connect LLMs (Claude, OpenAI) to internal tools like Slack and Notion. - R&D Time: Dedicated time each sprint to experiment with new AI models and identify productivity gains for the company. Security Automation & Compliance (The Glue) - Security Scripting: Write robust scripts (Python, Bash, PowerShell) to automate security monitoring, endpoint patch management, and compliance reporting. - Alert Correlation: Architect centralized alerting pipelines by integrating EDR/SIEM webhooks into Slack via native integrations (CrowdStrike), filtering noise and surfacing only actionable security anomalies. - Compliance Automation: Create automated audit trails, access reviews, and reporting to support SOC2 / ISO compliance efforts—no more manual spreadsheet work. Tech Stack Summary: Python, Okta/Azure AD, Jamf/Intune, Slack API, Greenhouse API, Notion API, Claude/OpenAI APIs, CrowdStrike, Meraki/cloud-networking, Google Workspace + GAM, Jira. Who You Are Foundation (Must-Have Baseline) - Experience: 4+ years in IT Engineering, Systems Engineering, or Platform roles with a heavy emphasis on automation and APIs. - Coding Proficiency: Advanced Python or JavaScript/Node.js. You treat your scripts like software—git, CI/CD, testing, and documentation are non-negotiable. Our current automation stack is built on Python. Familiarity with either is sufficient—we don't expect you to know both. - API Fluency: Proven experience building custom integrations using REST/GraphQL APIs. You know how to read documentation, handle OAuth2, and parse JSON in your sleep. - IdP & MDM Experience: Hands-on experience with Okta or Azure AD (SCIM, Workflows, automation) AND at least one MDM solution (Jamf and Intune). - Security-First Mindset: You understand least privilege, automated patching, and think about security in every integration you build. Primary Focus Areas (Where You'll Spend Most of Your Time) - Core: Identity & Workflow Automation (Okta, SCIM, custom scripting) - Core: Endpoint Management & security ops related (MDM, zero-touch deployment, patching) - Secondary: Networking (TCP/IP, VLANs, Wi-Fi, VPN/ZTNA—enough to troubleshoot and configure, not necessarily design from scratch) We prioritize automation-first engineers who can learn networking depth on the job. If you're a networking rockstar who's also strong on MDM and automation, even better. High-Value Differentiators (Stand Out From the Crowd) - Direct experience with Okta, People Tech (Rippling and Greenhouse), Notion, or Slack APIs - Hands-on experience building with LLM APIs (Anthropic Claude, OpenAI) for internal tools - Familiarity with Infrastructure as Code (Terraform) - Experience preparing IT systems for SOC2 or ISO 27001 audits - Experience with Google Workspace administration and GAM - Experience with zero-touch deployment workflows (Apple Business Manager, Windows Autopilot) Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location. Salary range(s) for this role $150,000 - $220,000 USD Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Head of Security
About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About The Role Snorkel is hiring a Head of Security to build and lead our security function end-to-end — infrastructure security, application security, and governance, risk & compliance (GRC). You'll own the security function end-to-end — strategy, team, and execution — and operate as the primary security voice with customers, auditors, and the exec team. You'll report to the CTO. This is a builder's role: you'll take security from its current state to a mature, right-sized function as Snorkel scales, hiring and developing the team as needs grow. Key Responsibilities Security Leadership & Team Building - Define Snorkel's overall security strategy, goals, and roadmap across infrastructure, application, and compliance domains - Build, hire, and lead a high-performing security organization — starting lean and scaling deliberately as the company and its risk surface grow - Establish the operating cadence for security (metrics, reporting, incident response, risk register) and represent security posture to the executive team and board Infrastructure & Cloud Security - Own cloud security architecture and posture across AWS (and other cloud providers as adopted) — IAM, network segmentation, encryption, landing zone design - Direct detection & response capabilities, threat modeling, and vulnerability management programs - Set standards for secure infrastructure-as-code, CI/CD, and secrets management Application Security - Embed security into the product development lifecycle — secure design reviews, threat modeling for new features, and AI/ML-specific risks (data protection, model/prompt security, training pipeline integrity) - Partner with Engineering and Product leadership to build security into the SDLC without blocking velocity - Own application security tooling and practices (SAST/DAST/SCA, pen testing, bug bounty) - Design identity, access, and activity-monitoring controls that correctly handle Snorkel's non-employee marketplace workforce — external contractor (1099 or similar) experts accessing the platform. This population isn't in scope for standard employee compliance obligations, but provisioning, deprovisioning, access boundaries, and monitoring still need to work correctly for them Governance, Risk & Compliance (GRC) - Build and run Snorkel's compliance program (e.g., SOC 2, ISO 27001, and customer-driven frameworks) — own audits end-to-end - Establish enterprise risk management practices: risk register, third-party/vendor risk, policy framework - Serve as the primary security point of contact for customer security reviews and questionnaires Executive & Cross-Functional Partnership - Act as a trusted advisor to the CTO and executive team on security risk and investment tradeoffs - Partner cross-functionally with Legal, Sales, Operations, and Engineering to unblock enterprise deals and support customer trust requirements - Communicate security posture, incidents, and roadmap clearly to both technical and non-technical audiences Who You Are Experience & Leadership - 10+ years in technology security, including significant leadership experience; you've held director-level or above scope - Track record building and scaling a security function from a founding stage (team of ~1) through a mature org (10–30+), ideally at a high-growth technology company - Experience owning security budget, vendor selection, and board/exec-level reporting Technical Depth - Deep expertise across infrastructure/cloud security (AWS, IAM, network security, encryption) and application security (SDLC integration, threat modeling, AppSec tooling) - Hands-on familiarity with modern security tooling: SIEM, EDR, CSPM, vulnerability management - Experience working with AI/ML-specific security risks (model security, data pipeline protection, prompt injection) Governance & Compliance - Proven experience building and running compliance programs (SOC 2, ISO 27001, or equivalent) from the ground up - Comfortable as the face of security to customers during security reviews/audits, and to auditors during certification cycles General - Bachelor's degree in Computer Science, Information Technology, or related field; advanced degree a plus - Excellent written and verbal communication; able to flex between board-level summary and engineering-level depth Why This Role You'll have meaningful ownership over the infrastructure that determines how quickly Snorkel can experiment with, evaluate, and productionize new AI systems. This isn't a role focused on training a single model or maintaining traditional ML pipelines - you'll build the platform that makes large-scale AI experimentation possible. You'll work on some of the hardest emerging infrastructure problems in AI: operating non-deterministic systems reliably, reproducing agent behavior across environments, evaluating long-running trajectories, scaling simulations and experiments, and turning rapidly evolving research workflows into robust production systems. The architecture decisions made by this team will define how Snorkel builds and operates AI systems for years to come. Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location. Salary range(s) for this role $252,000 - $370,000 USD Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Technical Animator
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 Technical Animator to help bring our robotic simulations to life. In this role, you'll work closely with the simulation, perception, and autonomy teams to develop high-fidelity motion systems and animations for human and robot avatars. Your work will directly support model training and evaluation, helping us generate realistic motion data to train large-scale neural networks Responsibilities - Build high-quality motion capture systems - Collaborate with robotics teams to synthesize realistic robot motions - Collaborate with ML teams to develop state-of-the-art techniques for motion generation - Design and build pipelines for processing animation data Preferred Qualifications - 3+ years of industry experience in technical animation, game development, VFX, or simulation - Competence in building accurate motion capture systems - Strong foundation in rigging, character animation, and physics-based motion systems - Familiarity with deep-learning based motion synthesis techniques - Background working with humanoid or robotic characters in simulation
Senior Master Annotator
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 are looking for a highly detail-oriented and technically strong Senior Master Annotator to define, maintain, and continuously improve annotation standards for robotic datasets. Various type of data sets can be generated which needs to be annotated and quality checked before they are put in production This role will act as the gold standard authority for labeling tasks, own Inter-Annotator Agreement (IAA) measurement, train and calibrate annotators, and ensure that annotation quality meets the high standards required for robotics model training. The ideal candidate understands image, video, 3D and audio annotation, quality metrics, and how annotation accuracy impacts model performance. Responsibilities - Define and maintain gold-standard annotations and benchmark (“gold set”) datasets for new and existing tasks - Establish clear acceptance criteria, tolerance thresholds, and task-specific quality standards (e.g., frame-level tolerances) - Develop, document, version-control, and continuously refine annotation guidelines and SOPs based on disagreement patterns and quality findings - Design and implement Inter-Annotator Agreement (IAA) frameworks (e.g., Cohen’s/Fleiss’ kappa, tolerance-based agreement models) and produce regular quality reports - Analyze disagreement trends, identify root causes, and recommend data-driven process improvements - Lead onboarding and ongoing training for annotators, including structured calibration sessions - Build and maintain edge-case libraries and example banks to improve annotation consistency - Provide targeted feedback and retraining to improve annotator performance and alignment with gold standards - Conduct precision-based QC audits according to task requirements and validate pilot batches prior to production scaling - Review escalated edge cases and partner with QA and Operations teams to optimize sampling strategies and quality processes Preferred Qualifications - 4–7+ years of experience in data annotation, quality control, or video labeling environments - Strong expertise in temporal video annotation; experience with robotics, computer vision, or autonomous systems datasets preferred - Deep understanding of Inter-Annotator Agreement methodologies (e.g., Cohen’s/Fleiss’ kappa), quality metrics, sampling strategies, and gold set creation - Experience mentoring, training, or guiding annotators to improve accuracy and consistency - Strong analytical skills with proficiency in Excel or Google Sheets (Python preferred but not required) - Ability to translate ambiguous SOPs into precise, actionable annotation guidelines - Exceptional attention to detail and sound judgment in ambiguous visual tasks - Data-driven, process-oriented mindset with strong ownership and accountability - Excellent written and verbal communication skills
Business Development
ABOUT US Sieve is a multi-modal lab curating the world's highest-quality training datasets — spanning video, audio, images, text, and 3D. We combine exabyte-scale data infrastructure and novel multimodal understanding techniques that push the frontier of foundation models. Video alone makes up 80% of internet traffic, and across modalities, data has become the enabling medium powering creativity, communication, gaming, AR/VR, and robotics. Sieve exists to solve the biggest bottleneck in the growth of these applications: high-quality training data. We partner with top AI labs and did $XXM last quarter alone, as a team of ~30 people. We also raised our Series A from Tier 1 firms such as Matrix Partners https://matrix.vc/, Swift Ventures https://www.swift.vc/, Y Combinator https://www.ycombinator.com/, and AI Grant https://aigrant.com/. WHY NOW Sieve is one of the most capital-efficient teams in AI — roughly 30 people serving the world's leading AI labs across every major data modality. You'll join early, own problems end-to-end, and watch your work ship directly into the models defining the frontier. ABOUT THE ROLE As the first business development person, you'll build and deepen relationships across frontier AI labs, emerging model companies, and the broader data ecosystem. You'll identify new labs to work with, develop relationships with additional groups inside existing customers, and recognize emerging opportunities where Sieve can help. You'll report directly to the CEO and work closely with our GMs and COO. Your job is to find the right people, create high-value conversations, shape opportunities early, and pull the right internal and external levers to help them progress. Our GMs will own commercial scoping, pricing, and closing. You'll also own the near-term strategy and execution for programs that create inbound demand, including events, conferences, ecosystem partnerships, and marketing initiatives. WHAT YOU'LL DO - Build trusted relationships with researchers, data leaders, product teams, and executives at frontier AI labs and emerging model companies - Identify and engage new labs while opening relationships with additional teams and buying centers inside existing customers - Map the organizations that matter: understand who is working on which models, modalities, capabilities, and data problems - Stay close to changes in model training, post-training, evaluations, RL environments, and multimodal research to recognize where new data needs are emerging - Develop clear opportunity theses that connect a lab's research priorities or model limitations to Sieve's data and infrastructure capabilities - Create and facilitate high-value conversations between external stakeholders and the appropriate Sieve GM - Prepare internal teams with the context they need, including stakeholder maps, research priorities, customer needs, relevant Sieve capabilities, and recommended next steps - Remain involved after the initial introduction, using relationships, follow-ups, references, events, executive engagement, and other strategic levers to help opportunities progress - Work with the CEO, GMs, and COO to prioritize the relationships and opportunities that matter most - Own the strategy and execution for selective programs that generate inbound demand, including executive dinners, research events, conference presence, ecosystem partnerships, content, and other creative initiatives - Represent Sieve at industry events and in the communities where AI researchers, data leaders, founders, and investors spend time - Build a strong view of the AI data market, including emerging customer needs, competitor activity, organizational changes at labs, and new categories Sieve should pursue - Maintain a clear, lightweight system for tracking important relationships, active opportunities, and next steps REQUIREMENTS - Deep familiarity with the frontier AI lab and AI data ecosystem, with an existing network or demonstrated ability to build trusted relationships within it - Experience in strategic business development, partnerships, investing, company-building, or another relationship-driven role in AI - Strong understanding of how foundation models are trained and improved, including the role of pretraining, post-training, evaluations, human data, multimodal data, and RL environments - The technical judgment to understand what makes data useful for training and to hold credible conversations with AI researchers and technical leaders - Exceptional relationship-building skills and the judgment to know which people, organizations, and opportunities matter - Ability to communicate fluently with researchers, founders, executives, operators, and commercial stakeholders - High agency and comfort personally executing across relationship development, events, marketing, and other zero-to-one initiatives - Strong organizational judgment and the ability to manage many long-term relationships - In-person at our San Francisco HQ NICE TO HAVE - Experience at a human-data, training-data, evaluation, or AI infrastructure company - Direct experience scoping or executing data engagements with frontier AI labs - Previous experience working at a frontier lab, founding an AI company, or investing in the AI and data ecosystem - Existing relationships across research, data, post-training, evaluations, procurement, and executive teams at major AI labs - Experience with multimodal data, reinforcement learning environments, human feedback, red teaming, or model evaluations - Experience building executive events, ecosystem programs, strategic content, or other inbound-demand initiatives from scratch - Technical or research experience beyond the level required to sell or manage partnerships BENEFITS - 401(k) and full health insurance - Breakfast, lunch, and dinner covered, plus your choice of snacks - Ubers covered home *all roles at Sieve require you to be onsite in San Francisco 5 days per week
Software Engineer, Site Reliability (SRE)
ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. 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 a commitment to balancing Family along the way. 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 https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. 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 As a Software Engineer on our Site Reliability team at Sierra, you will be responsible for defining and building the foundation of reliability, observability, and scalability across Sierra’s AI-driven infrastructure. You’ll partner closely with our core engineering and product teams to ensure our systems are highly available, efficient, and built for growth. - Own Sierra’s observability stack—monitoring, alerting, logging, and tracing—to give engineers clear visibility into system health and performance. - Partner with product and platform engineers to design systems that are reliable and scalable from day one—not as an afterthought. - Design and implement scalable, reliable, and secure cloud infrastructure (AWS) using Terraform and modern DevOps tooling. - Improve the reliability and scalability of our LLM deployments, ensuring robust, performant, and cost-effective operation. - Lead improvements to deployment pipelines, CI/CD tooling, and incident management processes to reduce downtime and response time. - Define the foundation of SRE practices at Sierra, influencing culture, tooling, and best practices across the engineering org. WHAT YOU'LL BRING - 5+ years of hands-on experience in Site Reliability or Infrastructure engineering roles for complex SaaS or cloud-based systems. - Experience designing for availability, scalability, and reliability at both infrastructure and application layers. - Deep experience with Terraform, AWS services, container orchestration, and cloud networking (including IAM and VPC architecture). - Strong background in observability systems (e.g., Prometheus, Grafana, Datadog, or similar). - Experience working with enterprise customers and familiarity with their compliance and networking needs along with integration patterns. - Comfortable working in fast-moving environments and collaborating across product, ML, and core engineering teams. - Degree in Computer Science or a related field, or equivalent professional experience. EVEN BETTER... - Experience with LLM infrastructure — optimizing inference performance, managing fine-tuned models, or large-scale model deployment. - Past experience in an early-stage startup environment, especially defining SRE culture and tooling from scratch. - Familiarity with incident management automation or self-healing infrastructure patterns. OUR VALUES - Trust: 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 OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, 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 US We'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.
Software Engineer, Security
ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. 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 a commitment to balancing Family along the way. 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 https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. 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. SOFTWARE ENGINEER, SECURITY Security Engineering builds the foundations that let Sierra deliver powerful AI agents while protecting customer data and trust. We partner across product and platform to make security, privacy, and safety core product capabilities and secure defaults. WHAT YOU’LL DO Our work spans several security domains. You’ll go deep where your strengths and interests are strongest, with opportunities to explore new areas alongside the team. Build the Foundations of Trust. Design and ship systems that make Sierra’s platform secure by default — spanning agent safety/security, privacy, identity, authentication, authorization, and data security. You’ll work across all layers of production (agents, infrastructure, backend, frontend) to embed security-conscious design into the core of our product. Own Cross-Cutting Systems. Partner with product and platform teams to implement and evolve Sierra’s trust primitives: identity management, access control, auditability, and data lifecycle management. You’ll make pragmatic design trade-offs between usability, performance, and security. Secure Agentic AI Systems. Build controls that ensure AI agents can't leak customer data, execute unauthorized actions, or be manipulated into unintended behavior. Design runtime policy enforcement for tool use, implement safe agent sandboxing, and create boundaries that protect data while keeping agents powerful and useful. Automate and Scale Security-Adjacent Workflows. Create developer-friendly tooling to reduce risk and friction — whether through automating security checks in CI/CD, enforcing privacy boundaries through schema validation, or instrumenting runtime monitoring for sensitive events. WHAT YOU’LL BRING Strong Software Engineering Skills. Experience building and maintaining production systems. You’re comfortable designing APIs, integrating with authentication or identity frameworks, and thoughtfully using AI-assisted development tools to build, test, and ship high-quality code faster without lowering the quality bar. Security Mindset. You think like a security engineer — considering how data flows, where it’s stored, who can access it, and how to design for least privilege and transparency. Product and Platform Mindset. You care about building secure scalable systems that enable, not block, innovation. You work closely with product teams to make trade-offs clear and help them move quickly without sacrificing trust. Curiosity and Ownership. You take ambiguous, cross-cutting problems from first principles to production and go deep when needed: tracing an authorization decision from agent intent through policy enforcement and downstream effects, or following sensitive data across model context, logs, storage, and tenant boundaries. You define the problem, align partners, ship the solution, and own it in production. EVEN BETTER IF… - You’ve worked on privacy, identity, trust & safety, authN/authz, or data protection systems. - You’ve built security frameworks, libraries, or tooling that developers actually use or integrated security automation into CI/CD pipelines. - You have exposure to AI systems or care about designing secure-by-default LLM applications. - You think like an attacker — you naturally ask "what could go wrong?" when reviewing designs or while building systems. You've found or fixed real security issues in production systems. - You thrive in 0→1 environments, where foundational systems have to balance speed, reliability, and trust. OUR VALUES - Trust: 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 OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, 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 US We'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.
Software Engineer, Context Engine
ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. 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 a commitment to balancing Family along the way. 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 https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. 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 You’ll join a full-stack data team building the systems making our AI agents measurably smarter with every interaction, building the real-time pipelines, analytics products, and deep personalization primitives that turn millions of conversations into business outcomes. You’ll work across these areas: - Data Foundations: Architect and build our core platform to handle data at scale with low latency. This includes our real-time eventing infrastructure, streaming and batch ETL pipelines, and our Iceberg-based data lakehouse. You will own the systems for interactive OLAP querying, orchestration, and experimentation, ensuring our data is trustworthy, fast, and easy to use for the entire organization. - Memory & Personalization: Power the next generation of intelligent experiences. You will develop the systems for long-term agent memory, build reusable Customer Data Platform (CDP) primitives, and implement the optimization loops that allow our agents to personalize interactions and demonstrably lift business outcomes. WHAT YOU'LL BRING We’re excited to meet candidates who bring depth in one of these areas: Platform Engineering - You have designed, built, and operated large-scale data systems, processing terabytes or petabytes of data with technologies like Spark, Flink, Trino/Presto, and data lakehouse formats like Iceberg or Hudi. - You possess strong backend and distributed systems fundamentals in a language like Go, Scala, or Python. You understand the trade-offs of different storage engines, query plans, and data serialization formats. - You have a history of implementing pragmatic data governance, lineage, and testing. You’ve built platforms that are cost-aware, highly operable, and a delight for other engineers to build upon. - You're well-versed in data modeling best practices (dimensional modeling, star/snowflake schemas, slowly changing dimensions) and know how to optimize analytical query patterns for both traditional OLAP systems and modern cloud data warehouses. Product Engineering - You have a portfolio of shipped data products, including analytics dashboards, data visualization tools, or alerting and exploration systems. - You are a skilled full-stack engineer (e.g., TypeScript/React and a service layer like Go), with a keen eye for performance, API design, and polish. - You excel at turning ambiguous questions into clear, intuitive interfaces. You have strong product sense around information architecture, handling empty states, and making complex data explainable. - You have practical experience with ML-powered product features, such as personalization, recommendations, or classification systems. Shared Qualities - Strong software engineering background with 4-7+ years of hands-on development experience in building and shipping production systems or products. - A passion for being on the frontier of AI products. - High agency and a bias to action in a high-autonomy environment. - Degree in Computer Science or related field, or equivalent professional experience. EVEN BETTER... - Deep experience with event streaming platforms (e.g., Kafka, Kinesis) and real-time data processing. - Experience with modern data visualization libraries (e.g., ECharts, D3.js) and the principles of building performant, reusable charting components for complex data. - Production experience with recommender systems or optimization loops (e.g., multi-armed bandits, ranking). - A track record of leading complex technical projects or mentoring other engineers. OUR VALUES - Trust: 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 OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, 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 US We'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.
Software Engineer, Agent - Public Sector
ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. 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 a commitment to balancing Family along the way. 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 https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. 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. ABOUT THE PUBLIC SECTOR TEAM - Sierra recently received FedRAMP High https://sierra.ai/blog/certified-fedramp-high certification, enabling us to bring our industry-leading technology to partners in the US public sector. We’re now building our founding public sector team to redefine the relationship between the government and its citizenry. - Today, our agents already enable citizens to access social services, report fraud, and understand complex government systems. Simultaneously, they empower government officials to better hear the concerns and inquiries of their constituencies. - We are explicitly nonpartisan and committed to empowering public servants to leverage AI to advance their important missions. - In our journey, 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. WHAT YOU’LL DO - Design and build production-grade AI agents for government institutions at the Federal and state level. - Partner closely with industry leadership to build our public sector team, including our capture motion, market strategy, and product components to scale quickly. - Work closely with institutions to understand their most urgent needs and identify novel opportunities to expand our impact - for example through outbound contacts or long-horizon agents. - Build the future of the platform: Your direct work with public sector 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. WHAT YOU'LL BRING - Full stack software development skills and familiarity with AI development processes. - A passion for public sector work and a faith in the potential of our institutions to transform outcomes for their constituents. - Comfort working directly with customers to understand their needs and solve real-world problems. A core part of the role is coordinating directly with public servants at our partners to understand their workflows. EVEN BETTER… - Experience building conversational or long-horizon agents using proprietary or open source frameworks. - Demonstrated track record ambiguity, for example as part of a founding team, new initiative at a large enterprise, forward deployed engineering, or elsewhere. - A prior understanding of government work and its complexities, including procurement, regulation, and patterns of partnership. OUR VALUES - Trust: 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 OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, 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 US We'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.
Product Manager, Agent Development (Spanish speaki...
ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. 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 a commitment to balancing Family along the way. 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 https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. 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 - Build Enterprise-grade AI Agents: As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day. - Engage with Customers: In the role, you will engage with all levels of our customers’ businesses: - Discover and assess their requirements. - Prepare and present demonstrations of Sierra’s agent. - Address and overcome technical challenges in the business process by working with technical counterparts. - Develop and improve Sierra virtual agents to fit and anticipate our customers’ needs and business processes. - Become trusted advisors and drive strategic technical strategies for our customers. - Shape the Product Roadmap: Work with Sierra’s engineering and product development teams to scope and implement new features essential to the success of your customers. WHAT YOU’LL BRING - 5-7+ years experience in product development of highly technical products. - Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager. - Experience crafting and tailoring a message for potential customers, including executives. - Ability to communicate highly technical concepts to both non-technical and technically proficient audiences, including recent AI developments. - Professional fluency in both Spanish and English. - Degree in a technical or related field, or equivalent professional experience. EVEN BETTER... - AI-related experience (experience with product development for AI agents a plus). - Some coding experience with React, Typescript, and Go. - MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles). - Past roles that interface with end customers to influence software development. OUR VALUES - Trust: 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 OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, 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 US We'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.
Product Manager, Agent Development (Italian speaki...
ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. 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 a commitment to balancing Family along the way. 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 https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. 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 - Build Enterprise-grade AI Agents: As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day. - Engage with Customers: In the role, you will engage with all levels of our customers’ businesses: - Discover and assess their requirements. - Prepare and present demonstrations of Sierra’s agent. - Address and overcome technical challenges in the business process by working with technical counterparts. - Develop and improve Sierra virtual agents to fit and anticipate our customers’ needs and business processes. - Become trusted advisors and drive strategic technical strategies for our customers. - Shape the Product Roadmap: Work with Sierra’s engineering and product development teams to scope and implement new features essential to the success of your customers. WHAT YOU’LL BRING - 5-7+ years experience in product development of highly technical products. - Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager. - Experience crafting and tailoring a message for potential customers, including executives. - Ability to communicate highly technical concepts to both non-technical and technically proficient audiences, including recent AI developments. - Degree in a technical or related field, or equivalent professional experience. EVEN BETTER... - AI-related experience (experience with product development for AI agents a plus). - Some coding experience with React, Typescript, and Go. - MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles). - Past roles that interface with end customers to influence software development. OUR VALUES - Trust: 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 OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, 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 US We'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.
Product Manager, Agent Development (German speakin...
ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. 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 a commitment to balancing Family along the way. 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 https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. 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 - Build Enterprise-grade AI Agents: As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day. - Engage with Customers: In the role, you will engage with all levels of our customers’ businesses: - Discover and assess their requirements. - Prepare and present demonstrations of Sierra’s agent. - Address and overcome technical challenges in the business process by working with technical counterparts. - Develop and improve Sierra virtual agents to fit and anticipate our customers’ needs and business processes. - Become trusted advisors and drive strategic technical strategies for our customers. - Shape the Product Roadmap: Work with Sierra’s engineering and product development teams to scope and implement new features essential to the success of your customers. WHAT YOU’LL BRING - 5-7+ years experience in product development of highly technical products. - Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager. - Experience crafting and tailoring a message for potential customers, including executives. - Ability to communicate highly technical concepts to both non-technical and technically proficient audiences, including recent AI developments. - Professional fluency in both German and English. - Degree in a technical or related field, or equivalent professional experience. EVEN BETTER... - AI-related experience (experience with product development for AI agents a plus). - Some coding experience with React, Typescript, and Go. - MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles). - Past roles that interface with end customers to influence software development. OUR VALUES - Trust: 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 OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, 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 US We'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.
Product Manager, Agent Development (French speakin...
ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. 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 a commitment to balancing Family along the way. 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 https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. 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 - Build Enterprise-grade AI Agents: As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day. - Engage with Customers: In the role, you will engage with all levels of our customers’ businesses: - Discover and assess their requirements. - Prepare and present demonstrations of Sierra’s agent. - Address and overcome technical challenges in the business process by working with technical counterparts. - Develop and improve Sierra virtual agents to fit and anticipate our customers’ needs and business processes. - Become trusted advisors and drive strategic technical strategies for our customers. - Shape the Product Roadmap: Work with Sierra’s engineering and product development teams to scope and implement new features essential to the success of your customers. WHAT YOU’LL BRING - 5-7+ years experience in product development of highly technical products. - Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager. - Experience crafting and tailoring a message for potential customers, including executives. - Ability to communicate highly technical concepts to both non-technical and technically proficient audiences, including recent AI developments. - Professional fluency in both French and English. - Degree in a technical or related field, or equivalent professional experience. EVEN BETTER... - AI-related experience (experience with product development for AI agents a plus). - Some coding experience with React, Typescript, and Go. - MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles). - Past roles that interface with end customers to influence software development. OUR VALUES - Trust: 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 OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, 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 US We'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.
Product Manager, Agent Development (Brazilian Port...
ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. 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 a commitment to balancing Family along the way. 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 https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. 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 - Build enterprise-grade AI agents: As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day. - Engage with customers: In the role, you will engage with all levels of our customers’ businesses: - Discover and assess their requirements. - Prepare and present demonstrations of Sierra’s agent. - Address and overcome technical challenges in the business process by working with technical counterparts. - Develop and improve Sierra virtual agents to fit and anticipate our customers’ needs and business processes. - Become trusted advisors and drive strategic technical strategies for our customers. - Shape the product roadmap: Work with Sierra’s engineering and product development teams to scope and implement new features essential to the success of your customers. WHAT YOU'LL BRING - 5-7+ years experience in product development of highly technical products. - Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager. - Experience crafting and tailoring a message for potential customers, including executives. - Ability to communicate highly technical concepts to both non-technical and technically proficient audiences, including recent AI developments. - Professional fluency in both Brazilian Portuguese and English. - Degree in a technical or related field, or equivalent professional experience. EVEN BETTER... - AI-related experience (experience with product development for AI agents a plus). - Some coding experience with React, Typescript, and Go. - MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles). - Past roles that interface with end customers to influence software development. OUR VALUES - Trust: 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 OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, 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 US We'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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