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Software Engineer, Billing & Revenue Platform
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: Glean is seeking a lead engineer to drive the billing and revenue platform that powers Glean’s consumption-based pricing for our AI products. As a lead engineer, you’ll provide deep technical leadership and own critical parts of our billing stack end to end. You’ll work closely with Product, Finance, Data, and Go-To-Market to ensure every AI feature we ship is accurately metered, transparently billed, and margin-positive. At the same time, you’ll help design powerful, elegant abstractions that make it easy and safe for product teams to integrate with billing—from logging usage to surfacing billing insights in the admin console. You will: - Work hands-on to design and implement systems for usage metering, pricing logic, credits, and admin-facing billing dashboards. - Provide technical leadership and vision across a broad billing surface area, spanning data pipelines, backend services, and web UX. - Drive the evolution of our consumption / Flex pricing infrastructure in a fast-paced environment, with a high bar for correctness, reliability, and debuggability. - Partner with Finance, Pricing, RevOps, and Product to translate pricing strategy into robust technical designs and workflows. - Define and maintain guardrails for LLM and agent costs (e.g., limits, anomaly detection, margin monitoring) so product teams can ship AI features confidently. - Raise the bar for engineering quality through design reviews, code reviews, and mentoring other engineers on the team. About you: - 6+ years of industry software engineering experience - Experience building platforms and web interfaces, including frontend, APIs, and backend services. - Meaningful experience with billing, payments, pricing, or other revenue-critical systems (usage-based or subscription); or you have built similarly high-integrity, auditable systems. - Strong ability to drive technical direction, make tradeoffs explicit, and align cross-functional stakeholders around pragmatic decisions. - An owner mindset and excitement about being in a product-focused environment where everyone cares deeply about customer and business impact. - Expertise in Golang, Java, Typescript, SQL is highly desirable. - Experience with or desire to learn large language models, retrieval augmented generation, agents, and their cost structures is beneficial. Location: - This role is hybrid (4 days a week in our Mountain View office) Compensation & Benefits: The standard base salary range for this position is $210,000 - $300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We’re committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. LI-HYBRID AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy . By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement . By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms.
Software Engineer, APIs & Context Platform
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: Glean is building the horizontal AI platform that powers how employees use AI at work – not just in Glean, but across tools like Copilot, Gemini, ChatGPT, IDEs, and more. We are seeking creative engineers to build this context platform and deliver rich, trustworthy experiences across all of those apps. This team owns the platform experience end‑to‑end: standards and tooling for REST APIs, SDKs and client libraries, agent SDKs and integrations, MCP servers, custom context such as code and memory, and the infrastructure and docs that make it easy to build on Glean. In a rapidly growing startup, this means working across multiple layers of the stack – backend services, developer tools, SDKs, and docs. You will: - Own and evolve Glean's REST API standards: versioning strategy, backward-compatibility guarantees, deprecation policy, and OpenAPI specification tooling. - Design and ship new API endpoints that expose Glean's platform primitives — search, knowledge graph, chat, agent and others — as stable, well-documented developer surfaces. - Build the API gateway layer: routing, authentication (OAuth2, API keys, OIDC), rate limiting, quota management, and per-tenant usage metering. - Define reusable platform primitives on top of Glean's horizontal layers (connectors, security/governance, knowledge graph, memory, model orchestration) so they can be composed by internal teams and external partners. - Work across backend services, developer tools, SDKs, and documentation in a fast-moving startup environment. - Design, build, and evolve SDKs and client libraries that developers use to integrate with Glean from their own applications and agent frameworks. - Instrument API usage to surface adoption metrics, error patterns, and latency SLOs - Champion the external developer perspective internally — bring customer feedback, friction points, and feature requests into the roadmap process. About you: - BA/BS in computer science or a related field, or equivalent practical experience. - 8+ years of industry software engineering experience, with meaningful time spent building and shipping public-facing APIs or developer platforms in production. - Deep fluency in REST API design principles: versioning, backward compatibility, pagination, error semantics, hypermedia, and OpenAPI/JSON Schema. - Proficiency in at least one modern backend language (ideally Golang, or strong interest in learning it); experience with TypeScript, Python, and/or Java is a plus. - Thrive in a customer‑focused, tight‑knit, cross‑functional environment – being a team player and willing to take on whatever is most impactful for the company is a must. - A proactive and positive attitude to lead, learn, troubleshoot, and take ownership of both small tasks and large features. Location: - This role is hybrid (4 days a week in our Mountain View office) Compensation & Benefits: The standard base salary range for this position is $210,000 - $300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. LI-HYBRID AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy . By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement . By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms.
Resident Solutions Architect
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: Glean is seeking a talented Resident Solutions Architect to join our rapidly expanding, venture-backed startup. In this role, you will serve as the strategic technical advisor for a small set of Glean’s most important Enterprise and Strategic customers, where architecture, integration, governance, and production-readiness demands are high. You will act as the named technical owner for each account, guiding long-term architecture decisions, shaping advanced workflows into production, and aligning technical plans to measurable customer outcomes. This is the strategic technical layer in the engagement team - not a reactive support role or generic project coordination role. You will: - Serve as the primary strategic technical advisor and point of contact for assigned customers, operating as the technical counterpart to the customer relationship. - Own the technical account strategy for assigned customers, including quarterly technical roadmap reviews, technical operating reviews, and executive technical alignment. - Develop and maintain strategic technical roadmaps aligned to customer business objectives, implementation milestones, and measurable technical success criteria. - Lead technical decision-making and architecture review workshops, documenting recommendations, trade-offs, supported patterns, and ownership. - Guide customers through architecture, design, and implementation choices across connectors, MCP, actions, APIs, SDKs, custom UI embeds, and agent workflows. - Productionize advanced customer workflows by defining evals, governance, observability, guardrails, and production-readiness requirements before broad rollout. - Design and deliver, or lead the design and delivery of, strategic technical builds such as Skills, Actions, MCP servers, custom connectors, Web SDK integrations, Client API integrations, and embedded experiences. - Partner with Solutions Architects as the execution layer when scoped implementation work should be delegated, while remaining accountable for the overall technical direction and customer outcomes. - Provide technical enablement to customer admins, developers, and technical stakeholders so they can operate, extend, and support Glean effectively in their environment. - Align technical plans with Customer Success, AI Outcomes Managers, Account teams, Product, Engineering, and Support so the customer has one coherent technical narrative. - Translate recurring customer friction, deployment blockers, and enterprise requirements into engineering-ready product feedback with clear business impact and technical context. - Serve as a recognized advisor to executives, Product, and R&D on enterprise customer reality, solution design, and platform trade-offs for high-value customer motions. - Support customer governance and security motions, including reviews tied to identity, networking, data protection, observability, and enterprise rollout readiness. - Act as a steady technical point of contact for strategic customer initiatives, helping frame escalations correctly while keeping break/fix ownership with Support and other operational teams. - Own cross-account technical programs and reusable blueprints that improve how Glean delivers post-sales outcomes across customers. - Define and improve the RSA operating model, service packaging, and repeatable delivery patterns so strategic work scales cleanly across customers and teams. - Contribute to the Glean customer technical community by codifying repeatable patterns, playbooks, and artifacts for strategic accounts. - Shape the SA organization through mentorship, advanced enablement programs, and reusable guidance that raises the bar for strategic technical consulting. About you: - You are a clear communicator who can lead technical conversations with architects, admins, developers, security stakeholders, and executives. - You are strategic and analytical, with the ability to connect roadmap, architecture, governance, and production outcomes into a clear technical point of view, while evaluating trade-offs in ambiguous environments. - You are customer-minded, organized, builder-oriented, and accountable, with a track record of building trust, maintaining momentum, and owning technical outcomes even when execution is shared across teams. - You have software development experience in at least two of the following: Python, Java, Go, or similarly relevant modern programming languages. - You have strong experience with APIs, SDKs, custom data integrations, and enterprise application architecture in hybrid, SaaS, or on-prem environments. - You have strong AI fluency that goes beyond basic prompting, including integrating AI into core workflows, building repeatable multi-step processes, and applying the right mix of agents, coding tools, and workflow automation. - You have the ability to shape technical patterns across Skills, agent workflows, MCP, custom actions, custom connectors, Web SDK, Client APIs, and embedded product experiences. - You have hands-on experience using agentic coding tools such as Claude Code, Cursor, or Copilot responsibly to scaffold, refine, test, and debug technical solutions, while retaining ownership of architecture and implementation trade-offs. - You can architect end-to-end AI application patterns on Glean, including content ingestion, retrieval, grounded answer generation, and source-aware response design using APIs such as Indexing, Search, and Chat. - You have strong technical debugging skills, including log analysis, code analysis, end-to-end tracing, and structured troubleshooting across distributed systems. - You bring deep understanding of networking, including cloud and on-prem networking, private connectivity patterns, and enterprise security constraints. - You have hands-on experience with cloud technologies in at least one of the following: Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure. - You have security and audit fluency, with the ability to represent product architecture and controls with customer security, privacy, and audit stakeholders. - You have experience defining production-readiness requirements for AI-powered workflows, including evals, observability, governance, reliability, and rollback or escalation paths. - You can evolve prototypes into enterprise-ready designs by addressing permissions, observability, rollout controls, scaling, security, and live debugging in real customer environments. - You think in terms of what is newly possible with AI, not just what can be made faster, and can turn that perspective into reusable customer patterns, internal blueprints, or scaled service offerings. - You have experience in at least two of the following disciplines: Software Engineering, Pre-Sales Engineering, Post-Sales Engineering, Professional Services, Support Engineering, Forward Deployment, or Solutions Architecture. - You have strong executive communication, technical account management, architecture leadership, cross-functional influence, enablement, data-driven judgment, self-motivation, and attention to detail. - You have experience serving as the named technical owner for strategic or complex enterprise accounts. - You have experience supporting architecture-heavy customers with requirements such as private networking, on-prem data sources, advanced governance, custom UI needs, or AI workflow productionization. - You have experience moving customer AI use cases from workshop-quality prototypes to production-quality systems. - Pre-sales or post-sales Solutions Architect experience in a product-led company is a strong plus. - You hold a Bachelor’s degree in Computer Science or equivalent with 7+ years of relevant technical consulting, solutions architecture, or customer-facing engineering experience, or a Master’s degree in Computer Science or equivalent with 7+ years of relevant experience. Location: - This role is remote (must be located in US East,Central, or West timezone) Compensation & Benefits: The standard OTE range for this position is $170,000 - $240,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you’ll receive a home office improvement stipend, as well as annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We’re committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. LI-REMOTE OR #LI-HYBRID AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy . By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement . By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms.
Product Manager
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: Glean is seeking a Product Manager who will play a pivotal role in realizing our vision: to become the most powerful AI assistant, delivering enterprise-contextualized intelligence, actioning, and support seamlessly across every workflow and environment. We're building best-in-class products that not only help users find, curate, share, and manage knowledge, but also proactively assist and take action—right where work happens. Join us as we shape the future of work by embedding Glean’s AI-driven capabilities into every corner of the modern enterprise experience. We’re currently a very lean product team, so you’ll have an outsized role in shaping both the product roadmap and the product team itself. You’ll collaborate closely with our stellar Design, Engineering, Sales, Marketing, and Success partners to understand our customers and build category-defining tools. You’ll wear many hats and gain both breadth and depth of experience. You will: - Spending a lot of time with our customers to deeply understand their knowledge needs - Developing key parts of our product roadmap, marrying customers’ needs with our product vision - Empowering your team by giving context, setting direction, and building alignment - Driving customer-focused decisions, clear prioritization, and efficient execution - Coordinating cross-functionally with with leadership, go-to-market teams, and other key stakeholders across the company - Building processes that will scale as our team and company go through rapid growth About you: - You have 6+ years of experience as a product manager at a B2B SaaS company. Experience working on collaboration, productivity, or ML/ranking tools is a plus. - You have a strong technical background and excel at analytical thinking - You are an excellent written and verbal communicator - You have a proven track record of taking ownership, taking initiative, and delivering results - You collaborate effectively with cross-functional partners - You have a learning and growth mindset - You are mission-first and understand that your success is measured by your product and team’s success Location: - This role is hybrid (3 days a week in our Bangalore office) Compensation & Benefits: Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. LI-HYBRID AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy . By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement . By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms.
Principal Product Marketing Manager, Enterprise Co...
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: Glean is looking for a Principal Product Marketing Manager, Glean Enterprise Context to define and execute the go-to-market strategy for the technologies that power reliable, enterprise-grade AI. Enterprise AI is at its root the intersection of AI and enterprise data and you will shape telling this story in the market. This role will translate advances in context, connectors, indexes, Enterprise Graphs, semantic layers, ontologies, into clear product narratives, differentiated market positioning, and practical resources that help customers understand Glean Enterprise Context. You will work at the intersection of product, engineering, research, sales, and communications. You will stay close to the rapidly evolving data and AI landscape, develop a strong point of view on where the market is going, and bring Glean’s technical advantages to life through launches, customer communications, thought leadership, technical collateral, and field enablement. This is a highly visible, hands-on role for a product marketer who can engage deeply with technical teams, understand how modern data systems work, and communicate complex ideas with precision and impact. You will help establish Glean as a technical leader in the next generation of enterprise AI. You will: - Own the product marketing strategy and go-to-market plans for Glean Enterprise Context, including new connectors, search quality, Enterprise Graph, structured data, memory, and the context that provides high-quality AI experiences. - Partner with Product and Engineering to translate architecture, technical tradeoffs, roadmap priorities, and customer value into differentiated positioning, messaging, launch plans, and customer-ready narratives. - Lead end-to-end launches for platform capabilities—from audience and release strategy through communications, technical documentation, field enablement, customer education, and post-launch adoption—while establishing repeatable launch processes. - Define Glean’s point of view on the emerging new context stack for AI; create compelling technical content and customer stories that show how teams can measure, improve, and trust AI applications and agents. - Represent Glean Enterprise Context as a technical spokesperson; and equip Sales, Solutions Engineering, Customer Success, and Partners with the proof points and architecture they need to drive adoption. About you: - 8+ years of B2B SaaS product marketing experience, or related field - BA/BS in business, marketing, liberal arts, or related degree - Bring significant experience in data platforms, AI systems, or a related technical category - Understand modern AI data systems deeply, including RAG, indexing, knowledge graphs, semantic layers, ontologies, and enterprise data architectures - Closely follow the AI industry and bring technical credibility with Product, Engineering, Research, developers, and technical buyers, translating complex technical decisions and market developments into clear customer and business implications. - Are an exceptional technical storyteller and writer who can turn architecture, evaluation results, and product capabilities into compelling narratives and collateral without oversimplifying the technology. - Have a track record of bringing complex technical products to market, communicating effectively with audiences ranging from developers to executives, and influencing cross-functional teams across Product, Engineering, Sales, Customer Success, Communications, and Brand. - Are rigorous about accuracy and evidence, energized by ambiguity, and able to balance strategic thinking with hands-on execution; a technical bachelor’s degree or equivalent practical experience is preferred, and an MBA is a plus. Location: - This role is hybrid (4 days a week in our Mountain View office OR San Francisco office) Compensation & Benefits: The standard base salary range for this position is $224,000 - $258,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We’re committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. LI-HYBRID AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy . By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement . By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms.
Principal Product Marketing Manager (Enterprise Co...
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: Glean is looking for a Principal Product Marketing Manager, Glean Enterprise Context to define and execute the go-to-market strategy for the technologies that power reliable, enterprise-grade AI. Enterprise AI is at its root the intersection of AI and enterprise data and you will shape telling this story in the market. This role will translate advances in context, connectors, indexes, Enterprise Graphs, semantic layers, ontologies, into clear product narratives, differentiated market positioning, and practical resources that help customers understand Glean Enterprise Context. You will work at the intersection of product, engineering, research, sales, and communications. You will stay close to the rapidly evolving data and AI landscape, develop a strong point of view on where the market is going, and bring Glean’s technical advantages to life through launches, customer communications, thought leadership, technical collateral, and field enablement. This is a highly visible, hands-on role for a product marketer who can engage deeply with technical teams, understand how modern data systems work, and communicate complex ideas with precision and impact. You will help establish Glean as a technical leader in the next generation of enterprise AI. You will: - Own the product marketing strategy and go-to-market plans for Glean Enterprise Context, including new connectors, search quality, Enterprise Graph, structured data, memory, and the context that provides high-quality AI experiences. - Partner with Product and Engineering to translate architecture, technical tradeoffs, roadmap priorities, and customer value into differentiated positioning, messaging, launch plans, and customer-ready narratives. - Lead end-to-end launches for platform capabilities—from audience and release strategy through communications, technical documentation, field enablement, customer education, and post-launch adoption—while establishing repeatable launch processes. - Define Glean’s point of view on the emerging new context stack for AI; create compelling technical content and customer stories that show how teams can measure, improve, and trust AI applications and agents. - Represent Glean Enterprise Context as a technical spokesperson; and equip Sales, Solutions Engineering, Customer Success, and Partners with the proof points and architecture they need to drive adoption. About you: - 8+ years of B2B SaaS product marketing experience, or related field - BA/BS in business, marketing, liberal arts, or related degree - Bring significant experience in data platforms, AI systems, or a related technical category - Understand modern AI data systems deeply, including RAG, indexing, knowledge graphs, semantic layers, ontologies, and enterprise data architectures - Closely follow the AI industry and bring technical credibility with Product, Engineering, Research, developers, and technical buyers, translating complex technical decisions and market developments into clear customer and business implications. - Are an exceptional technical storyteller and writer who can turn architecture, evaluation results, and product capabilities into compelling narratives and collateral without oversimplifying the technology. - Have a track record of bringing complex technical products to market, communicating effectively with audiences ranging from developers to executives, and influencing cross-functional teams across Product, Engineering, Sales, Customer Success, Communications, and Brand. - Are rigorous about accuracy and evidence, energized by ambiguity, and able to balance strategic thinking with hands-on execution; a technical bachelor’s degree or equivalent practical experience is preferred, and an MBA is a plus. Location: - This role is hybrid (4 days a week in our Mountain View office OR San Francisco office) Compensation & Benefits: The standard base salary range for this position is $224,000 - $258,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We’re committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. LI-HYBRID AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy . By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement . By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms.
Manager, AI Success
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: Glean is seeking an additional leader of our AISM (AI Success Management) team. The AI Success team is accountable for a customer’s deployment of the Glean platform. They lead efficient technical deployments, proactive program management, and measurable value realization for customers—from kickoff through go‑live and growth. AISMs partner closely with Sales, Solution Architects, AI Outcomes, Support, and R&D to deliver reliable launches and long-term success. You will: - Lead, grow, and mentor a team of AI Success Managers; own team performance, operating rhythms, and career development. - Establish prescriptive delivery playbooks, templates, and operating standards (SSO, people data, connectors, readiness gates) to ensure consistent, high-quality deployments at scale. - Own end‑to‑end delivery governance across your team’s accounts: kickoff, plan, deploy, go‑live, handoff, and renewal‑readiness, including proactive risk management and escalation handling. - Set and report on portfolio‑level KPIs (deployment velocity, time‑to‑value, adoption, satisfaction, ROI proxies), and drive continuous improvement against these metrics. - Partner with Sales, Solution Architects, AI Outcomes Managers, Support, and R&D to ensure a seamless customer journey and accelerate value realization post‑launch. - Engage with executive sponsors and customer program leads to align on goals, joint success plans, and measurable outcomes; serve as a strategic advisor when tradeoffs arise. - Systematize feedback loops from field to product; influence roadmap and readiness (connectors, deployment tooling, admin UX, observability) with clear business impact cases. - Raise the delivery bar: improve onboarding processes, documentation, playbooks, and tooling; champion operational excellence across planning, execution, and closeout. About you: - 6+ years in customer-facing delivery, implementation, technical account management, or consulting for enterprise SaaS; 2+ years leading/managing delivery or customer success/PS teams. - Strong understanding of SDLC and modern delivery practices (Agile/DevOps), with the ability to guide hands-on work in SSO setup, people data, and enterprise connector configuration. - Proven record of building playbooks, standardizing processes, and running delivery at scale with clear KPIs and continuous improvement cycles. - Executive presence and clear communication; comfortable leading escalations, aligning cross‑functional stakeholders, and making outcome‑oriented decisions. - Analytical, systems-thinking mindset; adept at diagnosing deployment blockers and translating field insights into product/process enhancements. - Cloud fluency (AWS, Azure, or GCP). One of the following—or willingness to obtain within 90 days—is a plus: AWS Certified Cloud Practitioner, Microsoft Certified Azure Fundamentals, or Google Cloud Digital Leader. Location: - This role is hybrid (4 days a week in our Mountain View office) Compensation & Benefits: The standard OTE range for this position is $210,000-$250,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. LI-HYBRID AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy . By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement . By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms.
Designated Technical Support Engineer - West
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: Glean is looking for a talented Designated Technical Support Engineer to join our rapidly expanding, venture-backed startup. We are building a modern knowledge assistant personalized to every employee in your organization, making all information within your company accessible, contextual, and fresh. Our team works hard and plays hard. We are professional, creative, passionate, and most importantly - customer-obsessed. As a trusted technical resource to the customer, you will provide both proactive and reactive support to our growing customer base. By providing the highest level of service to our customers, you will ensure our customer experience is the best in the industry. You will: - Own the proactive and reactive support for Glean customers by prioritizing issues for your designated customer(s) - Meet with your assigned customers regularly to review issues and develop resolution plans and drive continuous improvement in how you and your Glean teammates provide support to them - Be available to your assigned customers via collaborative communication channels consistently to ensure you are providing timely responses and updates on issues - Create and maintain customer-specific runbooks and knowledge articles - Provide first response, technical troubleshooting, resolution, and follow-through of customer issues and inquiries - Assist customers in the configuration, set-up, and verification of new content sources and product features to enable them to realize additional value for their users - Educate customers on the use of Glean product features - Identify system and user health issues, then create and execute remediation plans while coordinating and updating the customer accordingly - Handle customer-impacting alerts which require coordination with customer admin and system resources through resolution - Work closely with teams across Glean to drive product, process, and service improvements - Drive key improvement projects that will improve the scale and efficiency of support, while providing upgrades to the customers’ support experience - Coordinate all support activities with your assigned customer(s), which may include more stringent access and security processes, ensuring you move with high urgency for their issues. - Represent the unique needs of your assigned customer(s) with respect to product and security improvements that will improve the customer support experience - Please note that this role will be dedicated to select customers and requires additional background screenings/clearances/training/certification, carry & use of customer-provided equipment, and extended on-call shift timing based on customer contractual obligations. About you: - Technically curious: you have a never-ending desire to add technical knowledge and skills to your personal toolkit and share those learnings with your peers - Fearless: you have an intense need to tackle the toughest customer issues and technically complex issues with the goal of driving customer satisfaction - Strong communicator: you are a professional presenter with superior interaction skills with both customers and internal teams - Detail-oriented: you are highly organized and methodical, ensuring all issues are managed to completion - Data-driven: you utilize metrics and objective measurements to assess success and improvement opportunities for yourself and for the customer experience - Key knowledge and skills required: - Must-haves: - Problem solving: technical problem-solving skills including the ability to troubleshoot and isolate issues to their root cause - Ability to debug issues including searching & reading application logs, analyzing stack traces and browser trace files - Experience in at least one of the following disciplines: Customer Solutions Engineering, Support Engineering, Professional Services - Hands-on experience in at least one of the following: Search technologies, Knowledge technologies, SaaS-based system integrations - Experience with Cloud technologies in at least one of the following: Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure - Must have experience in troubleshooting REST API issues - Working experience on SSO, SAML, and OAuth along with network troubleshooting - Able to fully document issues you manage and contribute to the support knowledge base - Good-to-haves: - Knowledge of SQL/database, Basic Kubernetes, Intermediate/Advanced Linux - Experience in using Github, Jira & Confluence - Basic knowledge of LLM’s and how GPT works Location: - This role is hybrid (4 days a week in one of our SF Bay Area offices) Compensation & Benefits: The standard base salary range for this position is $120,000 - $190,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. LI-HYBRID AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy . By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement . By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms.
Designated Technical Support Engineer - Central/Ea...
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: Glean is looking for a talented Designated Technical Support Engineer to join our rapidly expanding, venture-backed startup. We are building a modern knowledge assistant personalized to every employee in your organization, making all information within your company accessible, contextual, and fresh. Our team works hard and plays hard. We are professional, creative, passionate, and most importantly - customer-obsessed. As a trusted technical resource to the customer, you will provide both proactive and reactive support to our growing customer base. By providing the highest level of service to our customers, you will ensure our customer experience is the best in the industry. You will: - Own the proactive and reactive support for Glean customers by prioritizing issues for your designated customer(s) - Meet with your assigned customers regularly to review issues and develop resolution plans and drive continuous improvement in how you and your Glean teammates provide support to them - Be available to your assigned customers via collaborative communication channels consistently to ensure you are providing timely responses and updates on issues - Create and maintain customer-specific runbooks and knowledge articles - Provide first response, technical troubleshooting, resolution, and follow-through of customer issues and inquiries - Assist customers in the configuration, set-up, and verification of new content sources and product features to enable them to realize additional value for their users - Educate customers on the use of Glean product features - Identify system and user health issues, then create and execute remediation plans while coordinating and updating the customer accordingly - Handle customer-impacting alerts which require coordination with customer admin and system resources through resolution - Work closely with teams across Glean to drive product, process, and service improvements - Drive key improvement projects that will improve the scale and efficiency of support, while providing upgrades to the customers’ support experience - Coordinate all support activities with your assigned customer(s), which may include more stringent access and security processes, ensuring you move with high urgency for their issues. - Represent the unique needs of your assigned customer(s) with respect to product and security improvements that will improve the customer support experience - Please note that this role will be dedicated to select customers and requires additional background screenings/clearances/training/certification, carry & use of customer-provided equipment, and extended on-call shift timing based on customer contractual obligations. About you: - Technically curious: you have a never-ending desire to add technical knowledge and skills to your personal toolkit and share those learnings with your peers - Fearless: you have an intense need to tackle the toughest customer issues and technically complex issues with the goal of driving customer satisfaction - Strong communicator: you are a professional presenter with superior interaction skills with both customers and internal teams - Detail-oriented: you are highly organized and methodical, ensuring all issues are managed to completion - Data-driven: you utilize metrics and objective measurements to assess success and improvement opportunities for yourself and for the customer experience - Key knowledge and skills required: - Must-haves: - Problem solving: technical problem-solving skills including the ability to troubleshoot and isolate issues to their root cause - Ability to debug issues including searching & reading application logs, analyzing stack traces and browser trace files - Experience in at least one of the following disciplines: Customer Solutions Engineering, Support Engineering, Professional Services - Hands-on experience in at least one of the following: Search technologies, Knowledge technologies, SaaS-based system integrations - Experience with Cloud technologies in at least one of the following: Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure - Must have experience in troubleshooting REST API issues - Working experience on SSO, SAML, and OAuth along with network troubleshooting - Able to fully document issues you manage and contribute to the support knowledge base - Good-to-haves: - Knowledge of SQL/database, Basic Kubernetes, Intermediate/Advanced Linux - Experience in using Github, Jira & Confluence - Basic knowledge of LLM’s and how GPT works Location: - This role is hybrid (2 days a week in New York, NY or 3 days a week in Nashville, TN). Compensation & Benefits: The standard base salary range for this position is $120,000-$170,000 USD annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. LI-REMOTE AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy . By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement . By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms.
AI Success Manager, East
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: As an AI Success Manager (AISM) , you will serve as the primary post-sales point of contact, accountable for platform health. The AISM is a hands-on role where you will lead and orchestrate successful implementations and long-term customer engagements, making our customers wildly successful. You will be responsible for ensuring efficient technical deployment, delivering proactive strategic guidance, and building, then delivering against, joint success plans and EBRs. AISMs collaborate closely with Account Executives, AI Outcomes Managers, Solution Architects, Support, and R&D on scoped engagements. You will: - Help our customers achieve real business outcomes through the use of AI - Serve as the primary lead on new customer deployments including hands on guidance for the setup of SSO and connectors - Own the end-to-end delivery from kickoff to go-live through renewal, ensuring clarity on expectations, timeline, and services budget for all stakeholders. - Create and execute joint success plans and EBRs that drive additional adoption, deepen engagement, and result in measurable business value. - Provide overall program management. - Develop, communicate, and execute tailored project plans; facilitate cross-functional collaboration across delivery, operations, and technical teams. - Provide a blend of technical guidance and strategic partnership, acting as escalation manager when necessary. - Monitor and report on deployment progress, customer adoption, and satisfaction metrics. - Proactively identify risks or blockers and drive resolution—escalating internally when appropriate. - Guide and document improvements for onboarding processes, playbooks, and best practices. - Contribute to continuous process and product improvements by providing actionable feedback and participating in internal initiatives About you: - 3–5 years of experience in technical deployment, implementation management, technical customer success, or technical account management of SaaS products for enterprise customers. - Strong understanding of software development life cycles and methodologies, including Agile and DevOps practices. - Familiarity with cloud platforms (AWS, GCP, or Azure) and related services. Certification preferred. - Excellent analytical and problem-solving skills, with a focus on troubleshooting technical issues as well as building consensus around outcomes and success measures. - Strong organizational, project management, and communication abilities. - Proven experience serving enterprise clients in strategic, consultative, and tactical, hands-on roles. - Experience with process documentation, playbooks, and continuous improvement initiatives. - Solutions-oriented mindset; trusted advisor with the capability to own escalations. - Capable of handling ambiguity and thriving in a fast-paced environment. Compensation & Benefits: The standard OTE range for this position is $140,000-$200,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. LI-REMOTE AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy . By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement . By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms.
Senior Asset Pipeline Engineer, Sim-Ready Content
About Genesis AI Genesis AI builds the simulation platform powering the next generation of robotics and embodied AI. Our flagship product, Genesis World, is a unified multi-physics simulation engine paired with Nyx, our in-house GPU-accelerated, path-traced photorealistic renderer. Together they provide a platform for training robotics and embodied AI at scale; letting teams simulate complex physical worlds with high fidelity and speed, from a laptop to datacenter-grade GPUs, and close the gap between simulation and the real world. About the Role A simulator is only as useful as the content that runs inside it. Training embodied agents at scale means large volumes of assets that are simultaneously physically valid and visually convincing and that is a pipeline problem before it is an art problem. We're hiring a Senior Engineer to build the path from raw input to sim-ready asset: geometry from a range of sources going in; clean meshes, correct collision proxies, plausible physical properties, materials that hold up under a path tracer, and reliable metadata coming out. The bar is throughput and repeatability. An asset that needs a human pass to be usable doesn't scale, so the pipeline has to make good decisions on its own and flag the cases where it can't. Part of that autonomy comes from agents embedded in the graph itself. Nodes can call models to produce input content, drive generation, pick parameters, interpret a mesh before deciding how to treat it, or judge whether a result is acceptable. Making that reliable is its own engineering problem: agents are non-deterministic, they fail in ways a mesh operator doesn't, and they need guardrails, structured outputs, retries and verification around them. You'll be building that as a first-class part of the pipeline rather than bolting it on. You'll work closely with the stakeholders, who set direction and priorities. You own the technical design and the implementation and you're expected to bring enough pipeline experience to challenge the plan where it needs challenging. What You'll Do - Build and maintain the end-to-end asset pipeline, from ingestion through to validated output - Design agent-driven nodes that generate input content and make decisions inside the graph, with the structured outputs, guardrails and fallbacks that make them dependable in batch - Develop automated processing stages: mesh repair, retopology, decimation and LODs, UV unwrapping and texel density normalization, collision proxy generation - Derive physical properties so assets behave correctly in simulation: mass, inertia, contact parameters, articulation setup - Handle appearance: material conversion to PBR, texture processing, baking, and color management so assets render correctly in Nyx - Define and enforce asset standards (units, orientation, pivots, naming, provenance) and build the validators that reject noncompliant assets before they reach the library - Scale the pipeline to large batch runs, with caching, versioning and selective reprocessing when a stage changes - Build quality checks into the pipeline itself: physics stability harnesses, render smoke tests, automated evaluation of generated content, comparison on reprocessed assets - Work with the rendering, physics and research teams on what sim-ready needs to mean for each downstream use What We're Looking For (ideally) - 5+ years building content or asset pipelines in games, VFX, simulation, or 3D tooling, with ownership of a pipeline in production - Deep knowledge of 3D asset formats and their quirks: USD, glTF, FBX, OBJ, plus physics description formats such as URDF or MJCF - Strong Python and C++ where processing needs to be fast - Hands-on mesh processing expertise: remeshing, decimation, UV generation, repair operations, convex decomposition, and a clear sense of how each one fails - Solid command of PBR material authoring, texture baking and color spaces - Experience driving DCC tools headlessly (Blender, Houdini, Maya) and building batch or distributed job systems around them - Practical experience putting LLM or agent calls into production systems: prompting, tool use, structured output, cost and latency control, and handling non-determinism - Understanding of what makes an asset physically valid in a simulator: visual versus collision geometry, mass properties, contact behavior, numerical stability - Judgment about quality bars, including when an asset is good enough and when it isn't Nice to Have - Experience processing output from generative or reconstruction-based 3D sources, and evaluating that output automatically - Agent frameworks, orchestration and eval tooling applied to content generation - OpenUSD at scale: composition, layering, MaterialX - Semantic annotation and dataset curation at volume - Exposure to simulation stacks such as MuJoCo, Isaac Sim or similar
Senior Scientist I, Biotherapeutic Production Tech...
The Role: Location: Andover, MA Generate:Biomedicines is seeking an experienced Senior Scientist I to independently lead complex protein production and characterization efforts in support of drug discovery and platform initiatives. This individual-contributor role will work across upstream construct and expression strategy, mammalian and cell-free protein production, downstream purification, and fit-for-purpose analytical characterization. You will define technical approaches, integrate data acrossworkflows, and make recommendations that enable confident scientific decisions across multiple protein modalities and stages of work. You will serve as a technical point of contact for protein purification and characterization strategy, partnering with cross-functional teams and external collaborators to align material quality, scale, timelines, and downstream requirements. You will also help advance scalable, data-rich workflows that improve throughput, reproducibility, and organizational learning. Here's how you will contribute: - Independently define, plan, and execute complex protein production, purification, and characterization strategies across multiple discovery and platform initiatives. Establish technical milestones, decision criteria, dependencies, and risk-mitigation plans. - Lead the design, optimization, scale-up, and troubleshooting of protein expression workflows, including transient mammalian and cell-free protein synthesis platforms. Provide technical input into construct design, molecular biology, and stable-expression activities as needed. - Lead purification workflow development from capture through polishing, with particular emphasis on larger-scale or later-stage protein production. Design and interpret chromatography screening studies, including predictor-plate approaches, resin selection, operating-condition optimization, and scale translation. - Produce high-quality protein material across a range of formats and scales. Partner with downstream stakeholders to establish fit-for-purpose quality attributes and acceptance criteria based on intended use. - Select, apply, and interpret appropriate analytical and biochemical characterization methods to assess protein purity, identity, concentration, oligomeric state, aggregation, stability, and other relevant quality attributes. - Integrate expression, purification, and characterization data to identify root causes, resolve complex technical challenges, evaluate trade-offs, and recommend next steps. Clearly communicate the evidence, assumptions, risks, and uncertainty supporting technical decisions. - Serve as a technical point of contact for protein production, purification, and characterization strategy. Influence cross-functional decisions by translating scientific findings into clear recommendations for discovery, platform, analytical, and data-focused partners. - Lead technical interactions with CROs, CDMOs, vendors, and other external partners as appropriate, including defining technical work packages, supporting method or process transfer, reviewing data, troubleshooting issues, and ensuring that deliverables meet scientific requirements. - Drive the development of scalable, reproducible, and well-documented workflows. Advance the thoughtful use of automation, high-throughput approaches, structured experimental data, and AI/ML-enabled tools to improve scientific productivity and learning. - Develop and share new methods, technical standards, and best practices. Advise and mentor colleagues, provide constructive scientific feedback, and contribute to an inclusive, collaborative, and high-performing team. - Demonstrate accountability for scientific quality and delivery by tracking progress, proactively surfacing risks, and communicating successes, setbacks, and lessons learned with clarity and transparency. The Ideal Candidate will have: - Independently define, plan, and execute complex protein production, purification, and characterization strategies across multiple discovery and platform initiatives. Establish technical milestones, decision criteria, dependencies, and risk-mitigation plans. - Lead the design, optimization, scale-up, and troubleshooting of protein expression workflows, including transient mammalian and cell-free protein synthesis platforms. Provide technical input into construct design, molecular biology, and stable-expression activities as needed. - Lead purification workflow development from capture through polishing, with particular emphasis on larger-scale or later-stage protein production. Design and interpret chromatography screening studies, including predictor-plate approaches, resin selection, operating-condition optimization, and scale translation. - Produce high-quality protein material across a range of formats and scales. Partner with downstream stakeholders to establish fit-for-purpose quality attributes and acceptance criteria based on intended use. - Select, apply, and interpret appropriate analytical and biochemical characterization methods to assess protein purity, identity, concentration, oligomeric state, aggregation, stability, and other relevant quality attributes. - Integrate expression, purification, and characterization data to identify root causes, resolve complex technical challenges, evaluate trade-offs, and recommend next steps. Clearly communicate the evidence, assumptions, risks, and uncertainty supporting technical decisions. - Serve as a technical point of contact for protein production, purification, and characterization strategy. Influence cross-functional decisions by translating scientific findings into clear recommendations for discovery, platform, analytical, and data-focused partners. - Lead technical interactions with CROs, CDMOs, vendors, and other external partners as appropriate, including defining technical work packages, supporting method or process transfer, reviewing data, troubleshooting issues, and ensuring that deliverables meet scientific requirements. - Drive the development of scalable, reproducible, and well-documented workflows. Advance the thoughtful use of automation, high-throughput approaches, structured experimental data, and AI/ML-enabled tools to improve scientific productivity and learning. - Develop and share new methods, technical standards, and best practices. Advise and mentor colleagues, provide constructive scientific feedback, and contribute to an inclusive, collaborative, and high-performing team. - Demonstrate accountability for scientific quality and delivery by tracking progress, proactively surfacing risks, and communicating successes, setbacks, and lessons learned with clarity and transparency. Education and Experience - Ph.D. in biochemistry, molecular biology, bioengineering, chemical engineering, protein sciences, or a related discipline, with typically 4 or more years of relevant industry experience; or B.S. or M.S. in a relevant scientific or engineering discipline, with typically 12 or more years of relevant industry experience; or An equivalent combination of education and experience that demonstrates the technical depth, independent judgment, and scope of impact required for the role. Nice to Have - Experience with stable-expression systems and stable cell-line development activities. - Experience with construct design, cloning, vector design, or related molecular-biology workflows. - Experience working with engineered proteins, multispecifics, novel scaffolds, or other complex protein modalities. - Experience integrating protein design information into expression, purification, or characterization strategies. - Experience with automation, high-throughput experimentation, laboratory information systems, or structured experimental-data environments. - Experience managing technical work conducted by CRO, CDMO, or vendor partners. - Experience developing workflows or methods that were adopted beyond an immediate project or work group. Who Will Love This Job: This is an opportunity to shape how Generate produces, characterizes, and learns from protein material in a modern, data-rich discovery environment. Your work will directly influence critical scientific decisions while improving the speed, quality, scale, and reproducibility of workflows used across discovery and platform initiatives. You will combine hands-on science with meaningful technical ownership, broad cross-functional collaboration, and the opportunity to develop approaches that enable the advancement of next-generation biologics. About Generate Biomedicines We are a clinical-stage generative biology company pioneering the AI revolution in drug design and development. We are advancing a new approach to drug creation—one grounded in the ability to design proteins with defined biological intent. By integrating machine learning with large-scale experimentation, this approach aims to reduce the uncertainty, time, and cost associated with developing protein-based medicines. Founded in 2018, we are advancing a growing pipeline of clinical and preclinical programs across multiple disease areas and protein modalities. By unifying computational design and clinical development within a single operating model, we translate this approach into clinical-stage programs and are leading a shift from traditional drug discovery toward systematic drug generation. At Generate:Biomedicines, we collaborate across disciplines in new ways to invent and innovate. We bring diverse perspectives to a shared goal of delivering better medicines to patients in need, faster, guided by our values and leadership behaviors. Generate:Biomedicines is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Recruitment & Staffing Agencies : Generate:Biomedicines does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Generate:Biomedicines or its employees is strictly prohibited unless contacted directly by the Company’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Generate:Biomedicines and the Company will not owe any referral or other fees with respect thereto. LI-RT1 Compensation: The base salary range provided reflects our current estimate of what we anticipate paying for this position. Your actual base salary will be based on several factors, including job-related skills, experience, internal equity, relevant education or training, and market dynamics. In addition, you will be eligible for an annual bonus, equity compensation, and a competitive benefits package. Per Year Salary Range $125,000 - $175,000 USD
Senior Director, Scientific Project Lead (Oncology...
The Role: Generate is seeking a Senior Director, Scientific Project Lead, Oncology to lead complex, cross-functional scientific programs from concept and early discovery through preclinical development, contribute to translational and early development strategy, and manage and develop scientific talent. This role combines formal people management with broad cross-functional leadership across research, platform, translational, preclinical, development, and portfolio functions. Working closely with functional , business and technical leaders, project managers , and senior and executive stakeholders, the Scientific Project Lead will bring deep scientific judgment in therapeutic discovery, strategic program leadership, and operational rigor to align multidisciplinary teams, guide key decisions, represent programs in governance forums, and contribute to portfolio prioritization. Here's how you will contribute: - Lead complex, cross-functional programs from concept and early discovery through preclinical development, with accountability for scientific strategy, execution quality, team effectiveness, risk management, and stage-gate readiness. - Develop and maintain integrated program strategies and plans that align scientific objectives , timelines, dependencies, critical path activities, and resourcing. - Set scientific program direction and identify and advance therapeutic opportunities and target proposals by integrating disease biology, Generate’s differentiated platform capabilities, internal and external evidence, translational and clinical rationale, and competitive intelligence. - Facilitate cross-functional discussions, resolve divergent perspectives, make clear recommendations, own key scientific decisions within the project team structure, and drive timely go/no-go recommendations. - Drive execution across wet lab, computational, platform, translational, and preclinical workstreams, ensuring scientific rigor, reproducibility, strong documentation, and high-quality data packages. - Develop resource plans and budget assumptions, anticipate strategic inflection points, and proactively resolve risks, gaps, and cross-functional dependencies. - Build effective operating mechanisms for program planning, governance preparation, risk tracking, decision-making, and cross-functional accountability. - Manage, coach, and develop direct reports through clear objectives , regular feedback, performance management, compensation recommendations, and career development; mentor cross-functional team members in partnership with their functional managers. - Set clear expectations and foster a high-performing team culture grounded in scientific rigor, accountability, transparency, urgency, collaboration, and constructive challenge. The Ideal Candidate will have: - PhD, MD, or MD/PhD in cancer biology, immun o -oncology , or another discipline relevant to therapeutic discovery and development. - 12+ years of r elevant experience in biotech, pharma, academia, or a related scientific environment. - Experience identifying , evaluating, or advancing therapeutic targets and preclinical programs in oncology. - Experience designing or interpreting preclinical oncology studies, including in vitro functional assays, in vivo efficacy models, and pharmacodynamic or mechanistic studies that connect mechanism to clinically meaningful hypotheses. - Experience managing and developing scientists or other technical professionals, combined with a strong record of leading multidisciplinary teams through influence. - Experience shaping program strategy, influencing senior stakeholders, and synthesizing complex scientific issues into sound decisions and clear governance recommendations, sometimes with incomplete information, while navigating scientific and resource tradeoffs in a matrixed environment. - Strong operational leadership, learning agility, intellectual curiosity, and comfort operating in ambiguous and evolving environments, with a practical approach to solving problems and unblocking teams. Preferred Qualifications: - Experience with protein therapeutics and related modalities, including multispecific antibodies, immune engagers , antibody-drug conjugates, peptides, or other conjugate-based approaches. - Familiarity with computational protein design, machine learning-enabled discovery, or platform-scale biological systems. - Familiarity with IND-enabling studies and early clinical development for oncology therapeutics. - Experience working effectively with consultants, CROs, and other external partners. - Comfort using LLM-enabled tools and emerging agentic workflows to support scientific planning, analysis, and execution. Who Will Love This Job: - A biomedical scientist who enjoys identifying novel oncology targets and turning early ideas into well-defined therapeutic opportunities. - A scientifically grounded leader energized by complex programs, consequential decisions, incomplete information, and the opportunity to adapt quickly as new data emerge . - An entrepreneurial, hands-on problem solver with an agile mindset who thrives at the interface of cancer biology, platform technologies, translational science, and portfolio strategy. - A matrix leader who enjoys working and learning across domains, builds trust, sets a high bar, and aligns strong cross-functional partners through influence. - A people leader who enjoys developing talent while building resilient, collaborative, and high-performing teams. About Generate:Biomedicines We are a clinical-stage generative biology company pioneering the AI revolution in drug design and development. We are advancing a new approach to drug creation—one grounded in the ability to design proteins with defined biological intent. By integrating machine learning with large-scale experimentation, this approach aims to reduce the uncertainty, time, and cost associated with developing protein-based medicines. Founded in 2018, we are advancing a growing pipeline of clinical and preclinical programs across multiple disease areas and protein modalities. By unifying computational design and clinical development within a single operating model, we translate this approach into clinical-stage programs and are leading a shift from traditional drug discovery toward systematic drug generation. At Generate:Biomedicines, we collaborate across disciplines in new ways to invent and innovate. We bring diverse perspectives to a shared goal of delivering better medicines to patients in need, faster, guided by our values and leadership behaviors. Generate:Biomedicines is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Recruitment & Staffing Agencies : Generate:Biomedicines does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Generate:Biomedicines or its employees is strictly prohibited unless contacted directly by the Company’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Generate:Biomedicines and the Company will not owe any referral or other fees with respect thereto. LI-RT1 Compensation: The base salary range provided reflects our current estimate of what we anticipate paying for this position. Your actual base salary will be based on several factors, including job-related skills, experience, internal equity, relevant education or training, and market dynamics. In addition, you will be eligible for an annual bonus, equity compensation, and a competitive benefits package. Per Year Salary Range $210,000 - $300,000 USD
Senior Director, Protein Analytics & Biophysics
The Role: Generate:Biomedicines is seeking a scientifically bold, highly collaborative Senior Director to lead Protein Analytics & Biophysics within our Therapeutics division. This leader will set the vision for how Generate measures the biophysical, biochemical, and interaction properties of protein therapeutics across the design-build-test-learn cycle, from conventional analytical characterization through next-generation pooled, miniaturized, and nanoscale measurement platforms. We are looking for a field-leading biophysicist and platform builder who has not only operated best-in-class analytical and protein interaction workflows, but has also invented, scaled, or industrialized new ways to measure protein therapeutic attributes at orders-of-magnitude higher throughput and lower sample consumption. The right person will be energized by the challenge of connecting micro- and nanoscale assay innovation with Generate's AI/ML-enabled protein design engine. This role will own the continued excellence of conventional protein analytics, developability, and protein-protein interaction technologies while building the next generation of at-scale experimental systems. The ideal candidate brings deep technical breadth, a quantitative mindset, and a clear point of view on how pooled assays, DNA/barcode-enabled readouts, synthetic biology, automation, microfluidics, advanced detection, and computational modeling can transform how protein therapeutics are evaluated. Success in this role will require enterprise leadership: developing leaders and senior scientists, building an inclusive and high-accountability culture, partnering deeply across Protein Sciences, Prototyping, Technology, Data Sciences, Machine Learning, Biology, and CMC/Tech Ops, and translating an ambitious scientific vision into robust capabilities that improve decision quality, speed, and scale. Here's how you will contribute: - Set and drive the multi-year scientific and organizational vision for Protein Analytics & Biophysics, aligning functional strategy with Generate's platform, portfolio, and company priorities. - Define the next generation of biophysical, biochemical, developability, and protein-protein interaction measurement capabilities for protein therapeutics, with a particular focus on miniaturized, pooled, high-throughput, and nanoscale approaches. - Lead the continued evolution of conventional analytical and interaction workflows, including HPLC/UPLC, LC/MS, electrophoretic, thermal stability, light scattering, plate-based, and biosensor-based platforms, ensuring rigor, reproducibility, and decision relevance. - Build a strategy that connects conventional analytical and biosensor technologies with emerging pooled or massively multiplexed approaches, enabling Generate to measure protein attributes at scales that match the output of generative design. - Partner with Prototyping, Technology, Automation, Data Sciences, Machine Learning, Protein Sciences, Biology, and CMC/Tech Ops to design, operationalize, validate, and scale new assay concepts into production-quality capabilities. - Identify, evaluate, and implement external and internal technologies that can unlock smaller sample volumes, richer attribute profiles, higher throughput, improved sensitivity, or new classes of protein interaction and developability data. - Establish data standards, quality expectations, assay controls, and analytical frameworks that allow high-throughput measurements to be used confidently for model training, candidate triage, and program decision-making. - Ensure the function generates high-quality, decision-enabling data across Discovery, Candidate Selection, and early Development, including developability, stability, specificity, affinity, kinetics, and manufacturability-relevant attributes. - Drive operational excellence across the function, including prioritization, resource planning, milestone delivery, metrics, continuous improvement, and clear communication of tradeoffs. - Represent the function with executive stakeholders and external partners, translating complex scientific strategy into clear, compelling, and actionable plans. Leadership Responsibilities - Lead as a strong people leader and culture builder who develops trust, accountability, scientific ambition, and collaboration across a multidisciplinary organization. - Build, coach, and develop a high-performing team of managers, senior scientists, and technical experts, creating clear growth paths and succession strength within the function. - Guide the team through transition with empathy and clarity while raising the technical bar for platform innovation, cross-training, and multidisciplinary biophysics. - Foster an inclusive, transparent, and feedback-rich environment where individuals are empowered to take initiative, share knowledge, and continuously improve. - Set a high bar for both technical excellence and partnership, making collaboration across functions a visible standard for success. - Partner effectively across functions to advance shared company goals. - Develop leadership capability across the organization by mentoring managers, growing future leaders, and strengthening Generate's broader scientific culture. - Manage external collaborations, CRO strategy, academic relationships, vendor partnerships, and technology scouting efforts that increase scale, speed, and scientific differentiation. The Ideal Candidate will have: - Ph.D. in Biophysics, Biochemistry, Molecular Biology, Chemical Biology, Bioengineering, Synthetic Biology, Protein Engineering, or a related scientific discipline; or equivalent depth of industry experience. - 12+ years experience in biopharma, biotechnology, synthetic biology, protein engineering, or a related field, with substantial leadership experience in protein analytics, biophysics, developability, and protein-protein interaction characterization. - Significant progressive experience in biopharma, biotechnology, synthetic biology, protein engineering, or a related field, with substantial leadership experience in protein analytics, biophysics, developability, and protein-protein interaction characterization. - A track record of building, inventing, or scaling novel assay platforms for protein therapeutics, especially miniaturized, pooled, multiplexed, microfluidic, barcode-enabled, sequencing-enabled, cell-based, or nanoscale biophysical or biochemical measurements. - Demonstrated ability to move beyond single-sample, low-throughput paradigms and create experimental systems that generate high-dimensional, quantitative data at the scale needed for AI/ML-enabled protein design. - Deep technical expertise across conventional analytical and biophysical methods, such as HPLC/UPLC (SEC, RP, HIC, IEX), LC/MS, CE-SDS, cIEF, DSF, DSC, DLS, SEC-MALS, SPR, BLI, and related technologies. - Strong understanding of protein-protein interaction measurement, including affinity, kinetics, specificity, cross-reactivity, epitope/binning, avidity, and context-dependent binding behavior. - Strong quantitative mindset and experience using data quality, assay statistics, modeling, and informatics to shape scientific strategy, technology investment, and operational decision-making. - Experience partnering closely with prototyping, automation, engineering, computational, and technology teams to translate exploratory assay concepts into robust, reproducible, and scalable capabilities. - Demonstrated success as a senior people leader, including leading leaders, developing senior scientific talent, and scaling high-performing teams through periods of change. - Exceptional collaboration and communication skills, with a clear track record of influencing across complex, matrixed organizations and engaging executive stakeholders with clarity, candor, and credibility. - Experience advancing biologics programs across Discovery and early Development, with an understanding of developability considerations, candidate selection, and downstream impact. - Commitment to building an inclusive, collaborative, and high-accountability culture where people and science can thrive together. Preferred / Nice to Have - Experience creating platform capabilities that support machine learning-enabled discovery, closed-loop experimental systems, or large-scale design-build-test-learn cycles. - Experience with pooled screening strategies, DNA-encoded or barcode-linked readouts, sequencing-based measurements, display technologies, high-throughput synthetic biology, or massively multiplexed protein interaction datasets. - Experience developing assays that require very low material input, operate at micro- or nanoscale, or integrate microfluidics, acoustic dispensing, advanced imaging, high-content detection, or next-generation automation. - Experience serving as an external scientific spokesperson, thought leader, founder-like platform builder, or conference presenter in biophysics, protein analytics, developability, protein engineering, or high-throughput interaction biology. - Familiarity with regulatory expectations and analytical strategy in support of candidate selection and early development. Who Will Love This Job: This is an opportunity to define the future of biophysics at Generate:Biomedicines. You will lead an exceptional team at the intersection of biological engineering, machine learning, and medicine, and you will shape how next-generation analytical and protein interaction technologies unlock scale, insight, and speed for our protein design platform. Your leadership will directly influence both the science we build and the culture we create. About Generate:Biomedicines We are a clinical-stage generative biology company pioneering the AI revolution in drug design and development. We are advancing a new approach to drug creation—one grounded in the ability to design proteins with defined biological intent. By integrating machine learning with large-scale experimentation, this approach aims to reduce the uncertainty, time, and cost associated with developing protein-based medicines. Founded in 2018, we are advancing a growing pipeline of clinical and preclinical programs across multiple disease areas and protein modalities. By unifying computational design and clinical development within a single operating model, we translate this approach into clinical-stage programs and are leading a shift from traditional drug discovery toward systematic drug generation. At Generate:Biomedicines, we collaborate across disciplines in new ways to invent and innovate. We bring diverse perspectives to a shared goal of delivering better medicines to patients in need, faster, guided by our values and leadership behaviors. Generate:Biomedicines is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Recruitment & Staffing Agencies : Generate:Biomedicines does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Generate:Biomedicines or its employees is strictly prohibited unless contacted directly by the Company’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Generate:Biomedicines and the Company will not owe any referral or other fees with respect thereto. LI-RT1 Compensation: The base salary range provided reflects our current estimate of what we anticipate paying for this position. Your actual base salary will be based on several factors, including job-related skills, experience, internal equity, relevant education or training, and market dynamics. In addition, you will be eligible for an annual bonus, equity compensation, and a competitive benefits package. Per Year Salary Range $210,000 - $290,000 USD
Principal Workday Engineer (HRIS)
The Role: Generate Biomedicines is seeking a Principal Workday Engineer ( HRIS ) to strengthen and expand the integrations connecting our People and business systems. This is a hands-on builder role for someone who can design, develop, and support reliable, secure, and scalable integrations—with Workday at the center of the ecosystem. Sitting at the intersection of People Technology, enterprise integrations, workflow automation, and applied AI, this role will help modernize how our systems, data, and employee workflows work together. You will own integrations from design through production support, partner with our in-house Workday functional expert to translate business needs into technical solutions, and collaborate with Enterprise Technology to deploy practical automation and AI-enabled workflows. The work will directly improve employee experience, reduce manual effort, strengthen operational reliability, and help People & Culture adopt secure, sustainable technology solutions at scale. This is an exciting opportunity to build, troubleshoot, improve, and shape the future of Generate’s People Technology ecosystem. The Principal Workday Engineer will sit within People & Culture (P&C), and report to the Executive Director, P&C Business Partner and P&C Technology. This role is part of a highly collaborative team environment and can be located in our Somerville, MA office or fully remote with occasional travel to our office. Here's how you will contribute: Integrations Ownership and Delivery · Serve as the technical owner for People Technology integrations, including design, build, testing, deployment, monitoring, troubleshooting, documentation, and ongoing support. · Design and support inbound and outbound integrations across Workday, Greenhouse, adjacent People systems, and other G&A platforms. · Partner with functional owners to translate business requirements into technical designs, field mappings, validation logic, testing plans, and sustainable support models. · Build and maintain integrations using APIs, webhooks, SFTP, flat-file exchanges, middleware or iPaaS tools, scheduled data transfers, and event-based automation patterns. · Support vendor implementations, tool changes, and system enhancements by assessing downstream impacts and executing required technical updates. · Monitor production integrations, resolve failures and data discrepancies, and improve alerting, reliability, and operational resilience across critical employee lifecycle and business process data flows. · Create and maintain technical documentation including integration diagrams, field mappings, runbooks, support procedures, test scripts, and change documentation. People Technology and Operational Support · Partner with the Workday functional lead to support integration-related operational needs across Workday, including benefits, time and absence, payroll, advanced compensation, talent and employee lifecycle processes and tooling. · Collaborate with the Workday functional lead to align functional configurations and technical integrations, ensuring cohesive end-to-end solutions. AI Partnership · Partner with Enterprise Technology, People & Culture stakeholders, and AI teams to identify opportunities to leverage enterprise AI capabilities that enhance employee experience, streamline HR workflows, and improve operational efficiency. · Support evaluation and deployment of secure, governed AI-enabled workflows where they are appropriate and tied to clear business needs · Serve as a strategic thought partner to People & Culture leadership and teams, bringing forward emerging AI capabilities and shaping a practical roadmap for AI-enabled HR experiences and operations. Cross-Functional Partnership · Serve as the technical partner to P&C functional system owners, advising on scalable, secure, and supportable integration solutions. · Collaborate with stakeholders across People & Culture, Finance, IT, Security, Legal, Procurement, Data, and external vendors to deliver reliable end-to-end workflows. · Communicate technical tradeoffs clearly, including risks, dependencies, support needs, testing requirements, and change impacts · Establish and promote best practices for integration design, testing, monitoring, change control, incident response, and post-go-live support for People Technology integrations. The Ideal Candidate will have: · Bachelor’s degree in Computer Science, Information Systems, Engineering, Business Technology, Data/Analytics preferred or equivalent hands-on experience. · 7 years of relevant People Technology (e.g. HRIS ) experience, including 5 years of Workday experience · Strong hands-on experience architecting, designing, building, supporting, and troubleshooting enterprise systems integrations · Experience working with APIs, webhooks, middleware, iPaaS tools, SFTP, flat files, ETL/ELT patterns, and scheduled data workflows. · Strong understanding of data mapping, transformation logic, validation, monitoring, error handling, reconciliation, and production support · Prior experience building and troubleshooting Workday integrations including EIBs, core connectors, templated, Studio, RaaS, and API · Experience partnering on or implementing AI-enabled business process automation using enterprise AI platforms or workflow tools, preferably in HR, People Operations, or other G&A functions. · Familiarity with AI tools and platforms such as Glean, Cursor, ChatGPT, Claude, Workday Agents, or similar solutions used for workflow automation, copilots, or agentic process design · Experience coordinating with external vendors on technical requirements, testing, issue resolution, and change management. · Strong documentation skills and the ability to bring structure to ambiguous systems problems. · Clear communication and strong partnership skills with both technical and non-technical stakeholders. · A pragmatic mindset and sound judgment about where automation and AI can create real operational value. Value-Add Experience · Proficiency with Greenhouse integrations, including inbound and outbound data flows across recruiting and hiring workflows. Experience integrating Greenhouse with tools such as ModernLoop, Checker, BrightHire, and LinkedIn Recruiter. · Integration experience with vendors such as Okta, Fidelity, Greenhouse, BCBS, Benepass, NetSuite, Adaptive Planning, Peakon, or Coupa. · Experience building AI platforms or standalone AI infrastructure preferred. · Workday reporting experience, including advanced, matrix, and trending reports. · Experience supporting benefits, time and absence, payroll-related workflows, employee lifecycle operations, talent acquisition, or people analytics. · Understanding of HR compliance, HR data security, access controls, and SOX-related considerations. · Experience in a biotech, life sciences, healthcare, or other regulated environment. LI-HM1 About Generate Biomedicines We are a clinical-stage generative biology company pioneering the AI revolution in drug design and development. We are advancing a new approach to drug creation—one grounded in the ability to design proteins with defined biological intent. By integrating machine learning with large-scale experimentation, this approach aims to reduce the uncertainty, time, and cost associated with developing protein-based medicines. Founded in 2018, we are advancing a growing pipeline of clinical and preclinical programs across multiple disease areas and protein modalities. By unifying computational design and clinical development within a single operating model, we translate this approach into clinical-stage programs and are leading a shift from traditional drug discovery toward systematic drug generation. At Generate:Biomedicines, we collaborate across disciplines in new ways to invent and innovate. We bring diverse perspectives to a shared goal of delivering better medicines to patients in need, faster, guided by our values and leadership behaviors. Generate:Biomedicines is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Recruitment & Staffing Agencies : Generate:Biomedicines does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Generate:Biomedicines or its employees is strictly prohibited unless contacted directly by the Company’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Generate:Biomedicines and the Company will not owe any referral or other fees with respect thereto. Compensation: The base salary range provided reflects our current estimate of what we anticipate paying for this position. Your actual base salary will be based on several factors, including job-related skills, experience, internal equity, relevant education or training, and market dynamics. In addition, you will be eligible for an annual bonus, equity compensation, and a competitive benefits package. Per Year Salary Range $154,000 - $216,000 USD
Associate Director, Clinical Operations
The Role: As an AssociateDirector of Clinical Operations, the qualified candidate will be excited about and capable of planning and executing early stage clinical trials. The candidate will interface with internal and external stakeholders to plan, execute and problem solve before and during the life of clinical trials with an initial focus on Oncology programs.. The candidate will focus on site- and Contract Research Organization (CRO)-facing interactions to ensure smooth execution of studies, including start-up, drug and budget forecasting, and acquisition of detailed, high-quality clinical (including safety and efficacy) and translational data to support evaluation of the drugs under study. The candidate will be clear and efficient in communicating with cross-functional team members to achieve these goals. The candidate will serve as the clinical operations program lead for at least one program and any studies associated, in addition to leading a team of operations staff. Here's how you will contribute: - Develop clinical operations strategy for respective program in development, either directly or by leading study staff depending on the stage of the agent - Cross-functional collaboration to develop needed outputs such as protocols, annual safety reports and investigator brochure, clinical study reports, presentations, regulatory submissions and publications - Evaluate external collaborators including Contract Research Organizations (CROs) and sites and select the best candidates for each needed function. Develop vendor scope of -work, contract, quality, monitoring and budget. - Develop and manage standard operating procedures (SOPs) for the organization and its external collaborators. Ensure GCP compliance. - Continuously evaluate performance of external collaborators and vendors, troubleshoot and recommend a path forward when challenges are encountered - Develop and manage study timelines, working with internal partners (including but not limited to clinical development, clinical pharmacology and other quantitative functions, data management, biomarkers and translational, CMC, regulatory affairs and project management) - Attend and, where appropriate, present at study site initiation meetings and study calls - Patient recruitment planning and forecasting - Manage or Mentor Clinical Operations team members on the program The Ideal Candidate will have: - Minimum 8 years of experience in clinical operations across at least 2 therapeutics areas, including oncology - Experience managing CROs and vendors both in the US and in international clinical trials - Experience in site initiation visits, site management, data cuts for publication and regulatory requirements - Understanding of the drug development process from IND to NDA - Dedication to collaborative work in a fast-paced environment; open-mindedness to shifting strategy in a data-guided manner - Ability to communicate effectively and efficiently and willingness to train other team-members within and outside of Clinical Operations - Experience in large Pharma and biotech and with biomarker-selected studies preferred but not required Experience with at least one report is preferred, but a strong candidate with hands-on experience and a growth mindset will be considered About Generate:Biomedicines We are a clinical-stage generative biology company pioneering the AI revolution in drug design and development. We are advancing a new approach to drug creation—one grounded in the ability to design proteins with defined biological intent. By integrating machine learning with large-scale experimentation, this approach aims to reduce the uncertainty, time, and cost associated with developing protein-based medicines. Founded in 2018, we are advancing a growing pipeline of clinical and preclinical programs across multiple disease areas and protein modalities. By unifying computational design and clinical development within a single operating model, we translate this approach into clinical-stage programs and are leading a shift from traditional drug discovery toward systematic drug generation. At Generate:Biomedicines, we collaborate across disciplines in new ways to invent and innovate. We bring diverse perspectives to a shared goal of delivering better medicines to patients in need, faster, guided by our values and leadership behaviors. Generate:Biomedicines is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Recruitment & Staffing Agencies : Generate:Biomedicines does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Generate:Biomedicines or its employees is strictly prohibited unless contacted directly by the Company’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Generate:Biomedicines and the Company will not owe any referral or other fees with respect thereto. LI-RT1 Compensation: The base salary range provided reflects our current estimate of what we anticipate paying for this position. Your actual base salary will be based on several factors, including job-related skills, experience, internal equity, relevant education or training, and market dynamics. In addition, you will be eligible for an annual bonus, equity compensation, and a competitive benefits package. Per Year Salary Range $162,000 - $227,000 USD
Talent Acquisition Partner
ABOUT GENERALIST At Generalist, we are on a mission to build general intelligence for the physical world and make it useful to everyone. We believe the industries and homes of the future will depend on humans and machines working together in new ways. Robots can help us build more and get more done. We build embodied foundation models, starting with a focus on dexterity. This requires advancing the frontiers of data, models, and hardware, to enable robots to intelligently interact with the physical world. The company embraces both large-scale AI and robotics as core to its DNA. Our team of researchers, roboticists, and company builders come from OpenAI, Boston Dynamics, Google DeepMind, and other frontier labs—with a track record of shipping AI breakthroughs. Before Generalist, we pioneered large embodied multimodal models and vision-language-action models (PaLM-E, https://research.google/blog/palm-e-an-embodied-multimodal-language-model/ RT-2 https://deepmind.google/blog/rt-2-new-model-translates-vision-and-language-into-action/, Gemini Robotics https://deepmind.google/models/gemini-robotics/), launched and scaled ChatGPT https://chatgpt.com/ and GPT-4 https://openai.com/index/gpt-4-research/ to hundreds of millions of users, engineered the foundations of autonomous driving, built next-generation robots (Atlas https://bostondynamics.com/atlas/, Spot https://bostondynamics.com/products/spot/, Stretch https://bostondynamics.com/products/stretch/) and pushed the limits of what they can do (from parkour https://www.youtube.com/watch?v=tF4DML7FIWk to manipulation https://bostondynamics.com/blog/large-behavior-models-atlas-find-new-footing/, and testing robustness https://www.youtube.com/watch?v=aFuA50H9uek). We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. THE ROLE We are actively building our teams across research science, ML infrastructure, robotics controls, hardware, data operations, and go-to-market. Most of these roles are senior, and we focus heavily on reaching talented professionals who may not be actively job-seeking. This role is about creating thoughtful talent strategies and intentionally mapping candidate ecosystems rather than simply focusing on volume. Partnering closely with our Head of Talent Acquisition, you will help design and scale our hiring engine. For any given domain, you will develop a deep understanding of key contributors, influential research, impactful engineering work, and upcoming career milestones. You will bring these insights to hiring managers with a clear perspective to help attract and engage top talent. Equally important is your internal partnership. Our hiring managers are primary researchers and engineers who value efficient, data-informed guidance. By sharing clear pipeline metrics, channel insights, and candidate feedback, you will build strong trust with technical leaders and continuously refine our hiring practices. As one of the initial members of our talent team, you will have a unique opportunity to lay the groundwork, lead priority searches, and shape our overall recruiting methodology from the ground up. WHAT YOU'LL OWN - End-to-end search ownership. Manage intake, strategy, sourcing, screening, loop design, closing, and seamless handoffs to onboarding across key critical searches. - Proactive talent mapping. Map target domains early to identify prospective candidates thoughtfully, especially in areas where our network is still expanding. - Targeted sourcing. Explore publications, conferences, repositories, and referral networks to craft meaningful, highly personalized candidate outreach. - Modern tooling & AI integration. Leverage AI tools for research, enrichment, and workflow enhancement while maintaining high accuracy and sound quality standards. - Data-informed insights. Track pipeline conversion, channel effectiveness, and feedback loops to guide team decisions and optimize our overall strategy. - Hiring manager partnership. Collaborate closely on role scoping, calibration, interview loops, interviewer preparation, and debrief facilitation. - Candidate engagement & closing. Articulate our mission, technical scope, and team density to effectively invite candidates to join our growth journey. - Structured operations. Maintain clean data, reliable scheduling, and structured interviewing practices within Ashby to ensure an efficient experience for everyone. - External partnerships. Collaborate with and manage external agencies effectively to supplement internal sourcing capabilities as needed. - Multi-site collaboration. Support in-person hiring efforts across our San Francisco and Boston locations, including occasional site visits and key industry events. MINIMUM QUALIFICATIONS - 5+ years full-cycle technical recruiting, - A track record of closing senior technical hires who had competing offers — with specifics you can walk us through. - Real passive-sourcing depth. You have built named-target searches from a blank page in a domain you did not previously know, and hired from them. - Data fluency. You can build a funnel, find the leak, and use the result to change a hiring manager's mind. Comfort with ATS reporting and with a spreadsheet you built yourself. - Working, current use of AI tooling in your own workflow, with judgment about where it helps and where it fabricates. - Exceptional written communication. Outreach, briefs, and internal recommendations that get read and acted on. - Genuine technical curiosity. You do not need to have trained a model, but you should want to know why one architecture beat another, and you should be able to read an abstract and work out whether the author is relevant to us. - Strong relationship management under pressure — candidates, hiring managers, and agencies — while holding a bar. - Based in San Francisco or Boston, in person. PREFERRED QUALIFICATIONS - Hiring for a frontier research organization or AI lab: research scientists, pre-training and post-training, RL, ML infrastructure. - Robotics, autonomous vehicles, or hardware — anywhere the physical world constrains what the software can do. - Experience as an early or founding recruiter, where you built the function and not just the pipeline. - Ashby, or fluency in a comparable structured-interview ATS and a view on what makes one good. - Agency or search-firm training early in your career, combined with in-house judgment later. - Familiarity with both the Bay Area and Boston markets, which behave differently and are not staffed the same way.
Strategic Deals Lead
ABOUT GENERALIST At Generalist, we are on a mission to build general intelligence for the physical world and make it useful to everyone. We believe the industries and homes of the future will depend on humans and machines working together in new ways. Robots can help us build more and get more done. We build embodied foundation models, starting with a focus on dexterity. This requires advancing the frontiers of data, models, and hardware, to enable robots to intelligently interact with the physical world. The company embraces both large-scale AI and robotics as core to its DNA. Our team of researchers, roboticists, and company builders come from OpenAI, Boston Dynamics, Google DeepMind, and other frontier labs—with a track record of shipping AI breakthroughs. Before Generalist, we pioneered large embodied multimodal models and vision-language-action models (PaLM-E, https://research.google/blog/palm-e-an-embodied-multimodal-language-model/ RT-2 https://deepmind.google/blog/rt-2-new-model-translates-vision-and-language-into-action/, Gemini Robotics https://deepmind.google/models/gemini-robotics/), launched and scaled ChatGPT https://chatgpt.com/ and GPT-4 https://openai.com/index/gpt-4-research/ to hundreds of millions of users, engineered the foundations of autonomous driving, built next-generation robots (Atlas https://bostondynamics.com/atlas/, Spot https://bostondynamics.com/products/spot/, Stretch https://bostondynamics.com/products/stretch/) and pushed the limits of what they can do (from parkour https://www.youtube.com/watch?v=tF4DML7FIWk to manipulation https://bostondynamics.com/blog/large-behavior-models-atlas-find-new-footing/, and testing robustness https://www.youtube.com/watch?v=aFuA50H9uek). We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Generalist is looking for a Strategic Deals Lead to own the structuring, negotiation, and expansion of our most important commercial and strategic relationships. As we bring frontier robotics technology into the real world, many of our partnerships do not fit neatly into standard software or commercial agreements. They involve new technologies, evolving business models, complex technical and legal considerations, and counterparties ranging from large global enterprises to robotics and technology partners. You will be part of our Applied AI & Partnerships team, working closely with technical and executive leadership to turn strategic relationships into durable, scalable commercial agreements. You should be equally comfortable designing a creative deal structure, negotiating with a senior business executive, working through a difficult contractual issue, and getting deep enough into our technology to understand what the agreement needs to protect and enable. Responsibilities - Strategic deal ownership: Own the structuring, negotiation, and closing of Generalist’s most complex and strategically important commercial transactions and partnerships, from initial terms through definitive agreements, renewals, and expansions. - Commercial structuring: Develop creative deal structures for emerging technologies and business models, balancing strategic value, economics, technical feasibility, customer needs, and long-term company interests. - Negotiation & legal terms: Lead commercial negotiations and partner closely with legal counsel on complex contractual issues, including training data and data-use rights, model and fine-tune rights, intellectual property, exclusivity, deployment, and other emerging AI and robotics concepts. - Technical & cross-functional partnership: Work closely with Applied AI & Partnerships, company leadership, and technical teams to understand the technology and translate product, model, data, and deployment requirements into appropriate deal structures and commitments. - Renewals & expansion: Drive the commercial strategy for major partnership renewals and expansions, identifying opportunities to deepen relationships and increase their long-term value. - Deal strategy & playbooks: Synthesize learnings from transactions into clear recommendations for leadership, including reusable negotiation positions, deal frameworks, market intelligence, and implications for future commercial strategy. Minimum Qualifications - Demonstrated track record of independently structuring, negotiating, and closing complex, high-value technology transactions or strategic partnerships. - Significant experience negotiating agreements involving novel technologies, non-standard commercial structures, or complex intellectual property and data considerations. - Strong commercial judgment and the ability to distinguish between issues that are strategically critical and those where creative compromise is possible. - Ability to understand sophisticated legal concepts, work closely with technical teams and translate complex engineering and product concepts into commercial structures, contractual requirements, and strategic recommendations. - Excellent written and verbal communication skills, including the ability to distill complex negotiations into clear decisions and recommendations for senior leadership. - Ability to operate effectively under pressure, build alignment among stakeholders with competing objectives, and know when to challenge, escalate, develop alternatives, or close. - Comfort operating in a fast-changing environment where priorities, processes, and responsibilities may sometimes be ambiguous and evolve quickly. PREFERRED QUALIFICATIONS - 8–10+ years of experience in strategic deals, corporate development, strategic partnerships, business development, technology transactions, or a related field, with meaningful direct transactional ownership. - Experience negotiating transactions involving AI, machine learning, robotics, enterprise software, data licensing, intellectual property, or other technically complex products. - Experience owning renewals and expansions of large strategic or enterprise. relationships. - Experience working in an environment where the product, business model, and market structure are still evolving. - JD preferred. - Experience managing multiple high-value transactions simultaneously at different stages of maturity and commercial development.
Data Partnerships
ABOUT GENERALIST At Generalist, we are on a mission to build general intelligence for the physical world and make it useful to everyone. We believe the industries and homes of the future will depend on humans and machines working together in new ways. Robots can help us build more and get more done. We build embodied foundation models, starting with a focus on dexterity. This requires advancing the frontiers of data, models, and hardware, to enable robots to intelligently interact with the physical world. The company embraces both large-scale AI and robotics as core to its DNA. Our team of researchers, roboticists, and company builders come from OpenAI, Boston Dynamics, Google DeepMind, and other frontier labs—with a track record of shipping AI breakthroughs. Before Generalist, we pioneered large embodied multimodal models and vision-language-action models (PaLM-E, https://research.google/blog/palm-e-an-embodied-multimodal-language-model/ RT-2 https://deepmind.google/blog/rt-2-new-model-translates-vision-and-language-into-action/, Gemini Robotics https://deepmind.google/models/gemini-robotics/), launched and scaled ChatGPT https://chatgpt.com/ and GPT-4 https://openai.com/index/gpt-4-research/ to hundreds of millions of users, engineered the foundations of autonomous driving, built next-generation robots (Atlas https://bostondynamics.com/atlas/, Spot https://bostondynamics.com/products/spot/, Stretch https://bostondynamics.com/products/stretch/) and pushed the limits of what they can do (from parkour https://www.youtube.com/watch?v=tF4DML7FIWk to manipulation https://bostondynamics.com/blog/large-behavior-models-atlas-find-new-footing/, and testing robustness https://www.youtube.com/watch?v=aFuA50H9uek). We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. ABOUT THE ROLE Embodied foundation models and their capabilities are driven by data — and robotics data does not exist on the internet waiting to be scraped. It has to be manufactured by people doing real work in real environments, to a spec guided by our model science and scaling laws. You will own the data engine that feeds our models: finding the right partners who can collect at quality and volume, standing them up, supplying them with necessary hardware, and holding them to a bar. Our data partnerships and operations extend globally, and expanding the ecosystem involves building the underlying network infrastructure for data ingestion and distribution that will feed in to support future commercial partnerships as well. Expect to extend the data engine into new geographies and new data modalities on tight timelines. The hardest part of the job is translating model needs and data requirements into something a data partner can execute without you in the room (and you are the first to catch the drift when what comes back is technically compliant but practically useless). YOU’LL BE RESPONSIBLE FOR: - Data supply strategy. Identify what we need to buy versus build. Map the vendor landscape across data types and quality. Bring recommendations, not options. - Vendor sourcing and diligence. Find, evaluate, and pilot new data partners. Run structured trials before committing volume. Know how to tell a real capability from a good deck. - Requirements elicitation. Sit with ML and engineering leads and extract the actual requirement — volume, environments, embodiments, task diversity, annotation schema, acceptance criteria, what happens downstream. Most of the time the requirement does not exist in writing until you write it. - Translation and specification. Author partner-facing specs that a non-ML operator can execute against with no follow-up call. Define the unit of delivery, what passes, what fails, and what to do when it is ambiguous. - Commercial terms. Structure pricing, rate cards, minimums, milestones, and acceptance language. Work with legal on MSAs and SOWs. Own the unit economics and know what we are paying per unit of usable data, not per unit delivered. - Scaling a partnership into a network. When one partner hits capacity, stand up the next without dropping quality or blowing up cost. - Operating cadence. Trackers, weekly partner reviews, forecasts against the research roadmap, and a clear picture of cost, volume, and quality that anyone at the company can read. - Closing the loop. Report back to research on what the data actually produced and use it to change the next cycle's spec. - Travel. Periodic domestic and international travel to partner sites and collection operations. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - 6+ years owning external partners or vendors who delivered a product or service to you — supply chain, vendor management, outsourcing/BPO management, data operations, or partnerships with a delivery obligation. - Demonstrated experience standing up a new vendor from zero: selection, diligence, contracting, ramp, and ongoing management. - A track record of translating technical or specialist requirements into unambiguous instructions that a non-technical execution partner delivered against successfully. - Fluency with commercial mechanics — pricing structures, SOWs, acceptance criteria, unit economics — and the judgment to know which terms actually protect quality. - Exceptional written communication. You will write documents that people you have never met execute without you present. - Comfort operating with incomplete requirements and re-scoping mid-flight without losing the relationship. - Even-keeled under pressure and relentlessly consistent on follow-through. PREFERRED QUALIFICATIONS - Experience buying or managing data collection, annotation, or labeling at scale — managed workforce, crowd, or BPO. - Experience close to an ML or research organization, and enough working understanding of training data to push back on a request rather than just relay it. - Background in autonomous vehicles, robotics, hardware, or another domain where physical-world data acquisition is a first-class problem. - Experience at a company that grew quickly enough that the process you inherited stopped working and you had to rebuild it.
Production Engineer, LLM Serving
About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon. Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise. Production Engineer, LLM Serving Location: Seoul, South Korea (Hybrid) About the Job Owns the reliability, observability, and service-level performance of production LLM serving services on FuriosaAI's RNGD NPUs. You will improve latency, throughput, and resource efficiency through workload-driven measurement, bottleneck analysis, and software engineering. Our stack uses llm-d and Furiosa-LLM , with Istio for traffic management in Kubernetes-based deployments and Mooncake for L3 KV-cache storage. You will own the serving service layer, collaborating with infrastructure, inference engine, runtime, and compiler teams on improvements that span their components. Key Responsibilities - Operates and improves RNGD-based LLM serving services, defining SLIs/SLOs and production readiness criteria to guide reliability and capacity decisions. - Builds metrics, logs, traces, dashboards, and actionable alerts across the serving request path, tracking availability, errors, time to first token (TTFT), inter-token and end-to-end latency, throughput, and NPU utilization. - Designs benchmarks and load tests reflecting production input/output lengths, concurrency, and traffic patterns. Uses latency distributions, throughput, and utilization to establish baselines, detect regressions, and plan serving capacity. - Diagnoses bottlenecks across routing, queueing, batching, caching, networking, and inference execution. Improves service components and configurations to increase throughput and resource efficiency while meeting latency SLOs. - Improves deployment topologies, autoscaling, health checks, graceful degradation, and Istio traffic policies for serving workloads, partnering with the infrastructure team on shared Kubernetes and service mesh capabilities. - Automates serving deployments and validates changes through performance tests, canary rollouts, and rollback procedures, collaborating with the build and release team on release artifacts. - Participates in on-call and incident response, from mitigation to root-cause analysis and preventive improvements. Builds runbooks and recovery automation to reduce operational toil. Minimum Qualifications - Bachelor's degree in Computer Science or a related field, or equivalent practical experience, with 3+ years developing and operating production services. - Strong programming skills in Rust, C++, Python, or Go, with the ability to read, instrument, and improve existing production code. - Hands-on experience operating services in Kubernetes and solid understanding of Linux, containers, networking, concurrency, and distributed systems. - Understanding of LLM serving concepts, including prefill/decode, batching, KV-cache management, and request scheduling, and their impact on performance. - Experience profiling production services and analyzing telemetry to identify bottlenecks across the request path and validate improvements in tail latency, throughput, and resource efficiency. - Experience building observability systems and using metrics, logs, and traces to diagnose production incidents, restore services, and implement preventive improvements. - Ability to communicate quantitative findings and collaborate across teams to deliver measurable production improvements. Preferred Qualifications - Experience operating LLM serving systems using llm-d , vLLM, SGLang, TensorRT-LLM, or similar technologies. - Experience optimizing request routing, load balancing, queueing, or autoscaling, and translating workload measurements into capacity plans or serving-cost estimates. - Experience with inference optimizations such as continuous batching, prefix KV-cache reuse, speculative decoding, distributed inference, or kernel optimization. - Experience with Istio traffic management, infrastructure as code, or GitOps, including automated rollout and rollback workflows. - Experience with Prometheus, Grafana, OpenTelemetry, and reliability practices such as SLO design, error budgets, and post-incident reviews. - Experience operating GPU/NPU workloads in on-premises or cloud environments and diagnosing issues across drivers, runtime, orchestration, and applications. - Experience developing software in Rust. Why Join FuriosaAI The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up. With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion. At Furiosa, you will: Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI. Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks. Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS. Partner With the Industry's Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC. Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition. Contact - recruit@furiosa.ai
Hardware - AI Chip Architect
About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon. Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise. Key Responsibilities - Define architecture/microarchitecture specifications. Take ownership of one or more chip modules and implement them in RTL. - Converge functionality and PPA of the design. - Implement your designs in RTL (System Verilog or other HDLs) and iterate the design for optimal power, timing, and area. - Create simple test benches and debug complex logic simulations. Minimum Qualifications - Master's degree in Electrical Engineering, Computer Science or equivalent practical experience. - 2+ years of industry experience in chip design, specializing in RTL design (architecture and implementation), logic synthesis, verification, and timing closure - Experience in microprocessor simulator implementation in depth with C++ or other high-level languages - Experience in modeling PPA of the design - Experience in scripting languages to automate simulation and analysis Preferred Qualifications - Ph.D in Electrical Engineering, Computer Science or equivalent practical experience is a plus - Experience in accelerator design is a plus - Experience with highly pipelined designs, and with multiple-clock-domain designs. - Knowledge of machine learning algorithms, compiler, processor design, accelerators, and/or memory hierarchies. - Experience with Chisel or RISC-V is a plus Why Join FuriosaAI The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up. With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion. At Furiosa, you will: Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI. Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks. Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS. Partner With the Industry's Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC. Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition. Contact - recruit@furiosa.ai
Software Engineer, Data Center Automation
ABOUT FLUIDSTACK We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it. We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI. We hire people who care deeply about this problem space. If that is you, please apply! HOW WE OPERATE - Be a barrel. Full autonomy. Own things end to end, take on scope without being asked, no permission required to operate outside your core role. - Insane urgency. We drive everything forward as fast as possible. - Reason from first principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins. - Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward. - Build something that actually matters. If you're going to spend your time, spend it on something that matters to the world. THE DECISION TEAM Examples of key problems the team is working on - Automate the delivery of gigawatts. Every process that takes AI infrastructure from land to live compute becomes software: schedules, decisions, and todos generated from a live knowledge graph instead of chased by hand. - Forward-deploy beside the experts. Product teams sit with quality managers, sourcing leads, and deployment engineers on factory floors and sites, and turn their judgment into systems that reach every unit. - Deliver every supercomputer faster than the last. Dozens of concurrent projects feed one graph, so every lesson learned at one site becomes a preventive check at all of them. ROLE SCOPE - Build the fleet health system: real-time telemetry and tiered healthchecks on every machine across Kubernetes and bare metal, rolled into one API the whole company trusts to answer "is this machine healthy," with alarms correlated into incidents that reach on-call with a drafted probable cause. - Turn repair and RMA into generated work: one tracked flow from failure detection through triage, parts, vendor return, and return to service, where failure thresholds route machines to repair automatically, each production engineer's shift todo list is generated for them, and time to return to service is a number the system reports. - Ship hardware qualification as software: burn-in, performance baselining, and new hardware validation composed into rack-level workflows, so bringing thousands of accelerators online is a repeatable run and every machine enters production with its acceptance evidence attached in the graph. - Run the facility on the same system as the fleet: the maintenance system for lockout tagout and work orders is live at one site and rolls out to two more, every asset register loads before the first external audit this fall, and the legacy datacenter inventory retires before the next building energizes. You own the asset model, the migration, and the day the old tools switch off. - Turn every runbook into a checked procedure: SOPs, training records, and technician qualifications become structured data the customer can audit, and site SLOs, deployment cycle time, and labor ramp report themselves on the dashboards a hyperscaler customer asked for. You work forward-deployed beside production engineers and facility operators, on site and on the rotation, and build what they use the next shift. WHAT WE'RE LOOKING FOR The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would https://jobs.ashbyhq.com/fluidstack/05c2e69c-42f9-4fcb-9cf0-a467aaf98f1c. - You've shipped production code in Go, Python, or TypeScript, and you pick up whatever language the problem demands. - You've built real features on LLM APIs (OpenAI, Anthropic, or open-weight models), MCP servers, and agentic frameworks. - You work daily with AI coding tools like Claude Code and Cursor, and you get agents doing useful work autonomously alongside you. - You identify problems, design the solution, and ship it without waiting for direction or approval. - You've moved fast under deadline while leaving foundations that other engineers extended after you moved on. - You've sat the on-call rotation or worked beside the people who do, and you've turned operational pain into systems that made the pager quieter. - Your product taste shows in what you've shipped: interfaces the engineers on the rotation call obvious, and workflows that match how the work actually happens. - Bonus: Production engineering or SRE on large GPU fleets. Hardware qualification or burn-in frameworks. BMC, Redfish, or IPMI tooling. CMMS, DCIM, or asset management systems. BMS/EPMS or SCADA. Prometheus and Grafana. Benefits: - Competitive total compensation package (cash + equity) - Health, dental, and vision insurance - Retirement plan - Generous PTO policy We are committed to pay equity and transparency. Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.
Software Engineer, Compute Operations
ABOUT FLUIDSTACK We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it. We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI. We hire people who care deeply about this problem space. If that is you, please apply! HOW WE OPERATE - Be a barrel. Full autonomy. Own things end to end, take on scope without being asked, no permission required to operate outside your core role. - Insane urgency. We drive everything forward as fast as possible. - Reason from first principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins. - Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward. - Build something that actually matters. If you're going to spend your time, spend it on something that matters to the world. THE DECISION TEAM Examples of key problems the team is working on - Automate the delivery of gigawatts. Every process that takes AI infrastructure from land to live compute becomes software: schedules, decisions, and todos generated from a live knowledge graph instead of chased by hand. - Forward-deploy beside the experts. Product teams sit with quality managers, sourcing leads, and deployment engineers on factory floors and sites, and turn their judgment into systems that reach every unit. - Deliver every supercomputer faster than the last. Dozens of concurrent projects feed one graph, so every lesson learned at one site becomes a preventive check at all of them. ROLE SCOPE - Build the fleet health system: real-time telemetry and tiered healthchecks on every machine across Kubernetes and bare metal, rolled into one API the whole company trusts to answer "is this machine healthy," with alarms correlated into incidents that reach on-call with a drafted probable cause. - Turn repair and RMA into generated work: one tracked flow from failure detection through triage, parts, vendor return, and return to service, where failure thresholds route machines to repair automatically, each production engineer's shift todo list is generated for them, and time to return to service is a number the system reports. - Ship hardware qualification as software: burn-in, performance baselining, and new hardware validation composed into rack-level workflows, so bringing thousands of accelerators online is a repeatable run and every machine enters production with its acceptance evidence attached in the graph. - Run the facility on the same system as the fleet: the maintenance system for lockout tagout and work orders is live at one site and rolls out to two more, every asset register loads before the first external audit this fall, and the legacy datacenter inventory retires before the next building energizes. You own the asset model, the migration, and the day the old tools switch off. - Turn every runbook into a checked procedure: SOPs, training records, and technician qualifications become structured data the customer can audit, and site SLOs, deployment cycle time, and labor ramp report themselves on the dashboards a hyperscaler customer asked for. You work forward-deployed beside production engineers and facility operators, on site and on the rotation, and build what they use the next shift. WHAT WE'RE LOOKING FOR The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would https://jobs.ashbyhq.com/fluidstack/05c2e69c-42f9-4fcb-9cf0-a467aaf98f1c. - You've shipped production code in Go, Python, or TypeScript, and you pick up whatever language the problem demands. - You've built real features on LLM APIs (OpenAI, Anthropic, or open-weight models), MCP servers, and agentic frameworks. - You work daily with AI coding tools like Claude Code and Cursor, and you get agents doing useful work autonomously alongside you. - You identify problems, design the solution, and ship it without waiting for direction or approval. - You've moved fast under deadline while leaving foundations that other engineers extended after you moved on. - You've sat the on-call rotation or worked beside the people who do, and you've turned operational pain into systems that made the pager quieter. - Your product taste shows in what you've shipped: interfaces the engineers on the rotation call obvious, and workflows that match how the work actually happens. - Bonus: Production engineering or SRE on large GPU fleets. Hardware qualification or burn-in frameworks. BMC, Redfish, or IPMI tooling. CMMS, DCIM, or asset management systems. BMS/EPMS or SCADA. Prometheus and Grafana. Benefits: - Competitive total compensation package (cash + equity) - Health, dental, and vision insurance - Retirement plan - Generous PTO policy We are committed to pay equity and transparency. Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.
Software Engineer, AI Automation
ABOUT FLUIDSTACK We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it. We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI. We hire people who care deeply about this problem space. If that is you, please apply! HOW WE OPERATE - Be a barrel. Full autonomy. Own things end to end, take on scope without being asked, no permission required to operate outside your core role. - Insane urgency. We drive everything forward as fast as possible. - Reason from first principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins. - Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward. - Build something that actually matters. If you're going to spend your time, spend it on something that matters to the world. THE DECISION TEAM Examples of key problems the team is working on - Automate the delivery of gigawatts. Every process that takes AI infrastructure from land to live compute becomes software: schedules, decisions, and todos generated from a live knowledge graph instead of chased by hand. - Forward-deploy beside the experts. Product teams sit with quality managers, sourcing leads, and deployment engineers on factory floors and sites, and turn their judgment into systems that reach every unit. - Deliver every supercomputer faster than the last. Dozens of concurrent projects feed one graph, so every lesson learned at one site becomes a preventive check at all of them. ROLE SCOPE - Build the hiring machine as software. Hiring is the company's biggest bottleneck. Every role, seat, and interview loop already lives in one graph, and you take it the rest of the way: the recruiting system synced both directions, interviewer supply and load visible to every hiring manager, and onboarding generated the moment an offer is signed, so day one starts with the job instead of the checklist. - Build the cash view the company runs on: today no system derives near term spend, so finance forecasts by hand and misses what construction already committed. You turn purchase orders, contract terms, and build milestones into an order schedule, a cash demand curve by month, and a payment schedule that recompute as procurement and construction move. - Build one capital pipeline from approved budget to released capital to spent dollar, gated on build milestones the delivery system already verifies, with the proof chain behind every financing drawdown assembled automatically, so releasing nine figures takes a day of judgment and funding follows construction within days. - Parse every MSA, change order, and side letter into obligations, prices, deadlines, penalties, and SLAs, so a delivery lead gets what we owe a customer at a site with the clause attached, a change order arrives with its legal and finance checks done, and the corpus of executed deals prices the next negotiation. - Embed forward-deployed with finance, treasury, accounting, legal, and people teams through a close, a drawdown, a negotiation, and a hiring loop, and turn their approvals, contract terms, screens, and reconciliations into structured data and generated work, including a continuous close where capitalization and depreciation post as events the moment they happen. WHAT WE'RE LOOKING FOR The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would https://jobs.ashbyhq.com/fluidstack/05c2e69c-42f9-4fcb-9cf0-a467aaf98f1c. - You've shipped production code in Go, Python, or TypeScript, and you pick up whatever language the problem demands. - You've built real features on LLM APIs (OpenAI, Anthropic, or open-weight models), MCP servers, and agentic frameworks. - You work daily with AI coding tools like Claude Code and Cursor, and you get agents doing useful work autonomously alongside you. - You identify problems, design the solution, and ship it without waiting for direction or approval. - You've moved fast under deadline while leaving foundations that other engineers extended after you moved on. - You've earned credibility with experts outside engineering: finance leads, lawyers, recruiters, or auditors, and driven adoption of your software inside their real deadlines, like a working close calendar or an offer that has to go out today. - Your product taste shows in what you've shipped: a controller, a recruiter, or a lawyer calls your interface obvious, and the workflow matches how their work actually happens. - Bonus: ERP and fixed asset accounting. FP&A, cash forecasting, and capital planning. Structured finance or treasury operations. Contract lifecycle systems. ATS and HRIS integrations (Ashby, Greenhouse, Rippling, Workday). LLM extraction over legal and financial documents. BENEFITS: - Competitive total compensation package (cash + equity) - Health, dental, and vision insurance - Retirement plan - Generous PTO policy We are committed to pay equity and transparency. Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.
Product Engineer, Data Center Automation
ABOUT FLUIDSTACK We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it. We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI. We hire people who care deeply about this problem space. If that is you, please apply! HOW WE OPERATE - Be a barrel. Full autonomy. Own things end to end, take on scope without being asked, no permission required to operate outside your core role. - Insane urgency. We drive everything forward as fast as possible. - Reason from first principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins. - Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward. - Build something that actually matters. If you're going to spend your time, spend it on something that matters to the world. THE DECISION TEAM Examples of key problems the team is working on - Automate the delivery of gigawatts. Every process that takes AI infrastructure from land to live compute becomes software: schedules, decisions, and todos generated from a live knowledge graph instead of chased by hand. - Forward-deploy beside the experts. Product teams sit with quality managers, sourcing leads, and deployment engineers on factory floors and sites, and turn their judgment into systems that reach every unit. - Deliver every supercomputer faster than the last. Dozens of concurrent projects feed one graph, so every lesson learned at one site becomes a preventive check at all of them. ROLE SCOPE - Build the fleet health system: real-time telemetry and tiered healthchecks on every machine across Kubernetes and bare metal, rolled into one API the whole company trusts to answer "is this machine healthy," with alarms correlated into incidents that reach on-call with a drafted probable cause. - Turn repair and RMA into generated work: one tracked flow from failure detection through triage, parts, vendor return, and return to service, where failure thresholds route machines to repair automatically, each production engineer's shift todo list is generated for them, and time to return to service is a number the system reports. - Ship hardware qualification as software: burn-in, performance baselining, and new hardware validation composed into rack-level workflows, so bringing thousands of accelerators online is a repeatable run and every machine enters production with its acceptance evidence attached in the graph. - Run the facility on the same system as the fleet: the maintenance system for lockout tagout and work orders is live at one site and rolls out to two more, every asset register loads before the first external audit this fall, and the legacy datacenter inventory retires before the next building energizes. You own the asset model, the migration, and the day the old tools switch off. - Turn every runbook into a checked procedure: SOPs, training records, and technician qualifications become structured data the customer can audit, and site SLOs, deployment cycle time, and labor ramp report themselves on the dashboards a hyperscaler customer asked for. You work forward-deployed beside production engineers and facility operators, on site and on the rotation, and build what they use the next shift. WHAT WE'RE LOOKING FOR The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would https://jobs.ashbyhq.com/fluidstack/05c2e69c-42f9-4fcb-9cf0-a467aaf98f1c. - You've shipped production code in Go, Python, or TypeScript, and you pick up whatever language the problem demands. - You've built real features on LLM APIs (OpenAI, Anthropic, or open-weight models), MCP servers, and agentic frameworks. - You work daily with AI coding tools like Claude Code and Cursor, and you get agents doing useful work autonomously alongside you. - You identify problems, design the solution, and ship it without waiting for direction or approval. - You've moved fast under deadline while leaving foundations that other engineers extended after you moved on. - You've sat the on-call rotation or worked beside the people who do, and you've turned operational pain into systems that made the pager quieter. - Your product taste shows in what you've shipped: interfaces the engineers on the rotation call obvious, and workflows that match how the work actually happens. - Bonus: Production engineering or SRE on large GPU fleets. Hardware qualification or burn-in frameworks. BMC, Redfish, or IPMI tooling. CMMS, DCIM, or asset management systems. BMS/EPMS or SCADA. Prometheus and Grafana. Benefits: - Competitive total compensation package (cash + equity) - Health, dental, and vision insurance - Retirement plan - Generous PTO policy We are committed to pay equity and transparency. Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.
Product Engineer, Compute Operations
ABOUT FLUIDSTACK We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it. We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI. We hire people who care deeply about this problem space. If that is you, please apply! HOW WE OPERATE - Be a barrel. Full autonomy. Own things end to end, take on scope without being asked, no permission required to operate outside your core role. - Insane urgency. We drive everything forward as fast as possible. - Reason from first principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins. - Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward. - Build something that actually matters. If you're going to spend your time, spend it on something that matters to the world. THE DECISION TEAM Examples of key problems the team is working on - Automate the delivery of gigawatts. Every process that takes AI infrastructure from land to live compute becomes software: schedules, decisions, and todos generated from a live knowledge graph instead of chased by hand. - Forward-deploy beside the experts. Product teams sit with quality managers, sourcing leads, and deployment engineers on factory floors and sites, and turn their judgment into systems that reach every unit. - Deliver every supercomputer faster than the last. Dozens of concurrent projects feed one graph, so every lesson learned at one site becomes a preventive check at all of them. ROLE SCOPE - Build the fleet health system: real-time telemetry and tiered healthchecks on every machine across Kubernetes and bare metal, rolled into one API the whole company trusts to answer "is this machine healthy," with alarms correlated into incidents that reach on-call with a drafted probable cause. - Turn repair and RMA into generated work: one tracked flow from failure detection through triage, parts, vendor return, and return to service, where failure thresholds route machines to repair automatically, each production engineer's shift todo list is generated for them, and time to return to service is a number the system reports. - Ship hardware qualification as software: burn-in, performance baselining, and new hardware validation composed into rack-level workflows, so bringing thousands of accelerators online is a repeatable run and every machine enters production with its acceptance evidence attached in the graph. - Run the facility on the same system as the fleet: the maintenance system for lockout tagout and work orders is live at one site and rolls out to two more, every asset register loads before the first external audit this fall, and the legacy datacenter inventory retires before the next building energizes. You own the asset model, the migration, and the day the old tools switch off. - Turn every runbook into a checked procedure: SOPs, training records, and technician qualifications become structured data the customer can audit, and site SLOs, deployment cycle time, and labor ramp report themselves on the dashboards a hyperscaler customer asked for. You work forward-deployed beside production engineers and facility operators, on site and on the rotation, and build what they use the next shift. WHAT WE'RE LOOKING FOR The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would https://jobs.ashbyhq.com/fluidstack/05c2e69c-42f9-4fcb-9cf0-a467aaf98f1c. - You've shipped production code in Go, Python, or TypeScript, and you pick up whatever language the problem demands. - You've built real features on LLM APIs (OpenAI, Anthropic, or open-weight models), MCP servers, and agentic frameworks. - You work daily with AI coding tools like Claude Code and Cursor, and you get agents doing useful work autonomously alongside you. - You identify problems, design the solution, and ship it without waiting for direction or approval. - You've moved fast under deadline while leaving foundations that other engineers extended after you moved on. - You've sat the on-call rotation or worked beside the people who do, and you've turned operational pain into systems that made the pager quieter. - Your product taste shows in what you've shipped: interfaces the engineers on the rotation call obvious, and workflows that match how the work actually happens. - Bonus: Production engineering or SRE on large GPU fleets. Hardware qualification or burn-in frameworks. BMC, Redfish, or IPMI tooling. CMMS, DCIM, or asset management systems. BMS/EPMS or SCADA. Prometheus and Grafana. Benefits: - Competitive total compensation package (cash + equity) - Health, dental, and vision insurance - Retirement plan - Generous PTO policy We are committed to pay equity and transparency. Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.
Product Engineer, AI
ABOUT FLUIDSTACK We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it. We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI. We hire people who care deeply about this problem space. If that is you, please apply! HOW WE OPERATE - Be a barrel. Full autonomy. Own things end to end, take on scope without being asked, no permission required to operate outside your core role. - Insane urgency. We drive everything forward as fast as possible. - Reason from first principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins. - Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward. - Build something that actually matters. If you're going to spend your time, spend it on something that matters to the world. THE DECISION TEAM Examples of key problems the team is working on - Automate the delivery of gigawatts. Every process that takes AI infrastructure from land to live compute becomes software: schedules, decisions, and todos generated from a live knowledge graph instead of chased by hand. - Forward-deploy beside the experts. Product teams sit with quality managers, sourcing leads, and deployment engineers on factory floors and sites, and turn their judgment into systems that reach every unit. - Deliver every supercomputer faster than the last. Dozens of concurrent projects feed one graph, so every lesson learned at one site becomes a preventive check at all of them. ROLE SCOPE - Build the hiring machine as software. Hiring is the company's biggest bottleneck. Every role, seat, and interview loop already lives in one graph, and you take it the rest of the way: the recruiting system synced both directions, interviewer supply and load visible to every hiring manager, and onboarding generated the moment an offer is signed, so day one starts with the job instead of the checklist. - Build the cash view the company runs on: today no system derives near term spend, so finance forecasts by hand and misses what construction already committed. You turn purchase orders, contract terms, and build milestones into an order schedule, a cash demand curve by month, and a payment schedule that recompute as procurement and construction move. - Build one capital pipeline from approved budget to released capital to spent dollar, gated on build milestones the delivery system already verifies, with the proof chain behind every financing drawdown assembled automatically, so releasing nine figures takes a day of judgment and funding follows construction within days. - Parse every MSA, change order, and side letter into obligations, prices, deadlines, penalties, and SLAs, so a delivery lead gets what we owe a customer at a site with the clause attached, a change order arrives with its legal and finance checks done, and the corpus of executed deals prices the next negotiation. - Embed forward-deployed with finance, treasury, accounting, legal, and people teams through a close, a drawdown, a negotiation, and a hiring loop, and turn their approvals, contract terms, screens, and reconciliations into structured data and generated work, including a continuous close where capitalization and depreciation post as events the moment they happen. WHAT WE'RE LOOKING FOR The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would https://jobs.ashbyhq.com/fluidstack/05c2e69c-42f9-4fcb-9cf0-a467aaf98f1c. - You've shipped production code in Go, Python, or TypeScript, and you pick up whatever language the problem demands. - You've built real features on LLM APIs (OpenAI, Anthropic, or open-weight models), MCP servers, and agentic frameworks. - You work daily with AI coding tools like Claude Code and Cursor, and you get agents doing useful work autonomously alongside you. - You identify problems, design the solution, and ship it without waiting for direction or approval. - You've moved fast under deadline while leaving foundations that other engineers extended after you moved on. - You've earned credibility with experts outside engineering: finance leads, lawyers, recruiters, or auditors, and driven adoption of your software inside their real deadlines, like a working close calendar or an offer that has to go out today. - Your product taste shows in what you've shipped: a controller, a recruiter, or a lawyer calls your interface obvious, and the workflow matches how their work actually happens. - Bonus: ERP and fixed asset accounting. FP&A, cash forecasting, and capital planning. Structured finance or treasury operations. Contract lifecycle systems. ATS and HRIS integrations (Ashby, Greenhouse, Rippling, Workday). LLM extraction over legal and financial documents. BENEFITS: - Competitive total compensation package (cash + equity) - Health, dental, and vision insurance - Retirement plan - Generous PTO policy We are committed to pay equity and transparency. Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.
Forward Deployed Engineer, Compute Operations
ABOUT FLUIDSTACK We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it. We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI. We hire people who care deeply about this problem space. If that is you, please apply! HOW WE OPERATE - Be a barrel. Full autonomy. Own things end to end, take on scope without being asked, no permission required to operate outside your core role. - Insane urgency. We drive everything forward as fast as possible. - Reason from first principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins. - Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward. - Build something that actually matters. If you're going to spend your time, spend it on something that matters to the world. THE DECISION TEAM Examples of key problems the team is working on - Automate the delivery of gigawatts. Every process that takes AI infrastructure from land to live compute becomes software: schedules, decisions, and todos generated from a live knowledge graph instead of chased by hand. - Forward-deploy beside the experts. Product teams sit with quality managers, sourcing leads, and deployment engineers on factory floors and sites, and turn their judgment into systems that reach every unit. - Deliver every supercomputer faster than the last. Dozens of concurrent projects feed one graph, so every lesson learned at one site becomes a preventive check at all of them. ROLE SCOPE - Build the fleet health system: real-time telemetry and tiered healthchecks on every machine across Kubernetes and bare metal, rolled into one API the whole company trusts to answer "is this machine healthy," with alarms correlated into incidents that reach on-call with a drafted probable cause. - Turn repair and RMA into generated work: one tracked flow from failure detection through triage, parts, vendor return, and return to service, where failure thresholds route machines to repair automatically, each production engineer's shift todo list is generated for them, and time to return to service is a number the system reports. - Ship hardware qualification as software: burn-in, performance baselining, and new hardware validation composed into rack-level workflows, so bringing thousands of accelerators online is a repeatable run and every machine enters production with its acceptance evidence attached in the graph. - Run the facility on the same system as the fleet: the maintenance system for lockout tagout and work orders is live at one site and rolls out to two more, every asset register loads before the first external audit this fall, and the legacy datacenter inventory retires before the next building energizes. You own the asset model, the migration, and the day the old tools switch off. - Turn every runbook into a checked procedure: SOPs, training records, and technician qualifications become structured data the customer can audit, and site SLOs, deployment cycle time, and labor ramp report themselves on the dashboards a hyperscaler customer asked for. You work forward-deployed beside production engineers and facility operators, on site and on the rotation, and build what they use the next shift. WHAT WE'RE LOOKING FOR The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would https://jobs.ashbyhq.com/fluidstack/05c2e69c-42f9-4fcb-9cf0-a467aaf98f1c. - You've shipped production code in Go, Python, or TypeScript, and you pick up whatever language the problem demands. - You've built real features on LLM APIs (OpenAI, Anthropic, or open-weight models), MCP servers, and agentic frameworks. - You work daily with AI coding tools like Claude Code and Cursor, and you get agents doing useful work autonomously alongside you. - You identify problems, design the solution, and ship it without waiting for direction or approval. - You've moved fast under deadline while leaving foundations that other engineers extended after you moved on. - You've sat the on-call rotation or worked beside the people who do, and you've turned operational pain into systems that made the pager quieter. - Your product taste shows in what you've shipped: interfaces the engineers on the rotation call obvious, and workflows that match how the work actually happens. - Bonus: Production engineering or SRE on large GPU fleets. Hardware qualification or burn-in frameworks. BMC, Redfish, or IPMI tooling. CMMS, DCIM, or asset management systems. BMS/EPMS or SCADA. Prometheus and Grafana. Benefits: - Competitive total compensation package (cash + equity) - Health, dental, and vision insurance - Retirement plan - Generous PTO policy We are committed to pay equity and transparency. Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.
Decision Engineer, Compute Operations
ABOUT FLUIDSTACK We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it. We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI. We hire people who care deeply about this problem space. If that is you, please apply! HOW WE OPERATE - Be a barrel. Full autonomy. Own things end to end, take on scope without being asked, no permission required to operate outside your core role. - Insane urgency. We drive everything forward as fast as possible. - Reason from first principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins. - Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward. - Build something that actually matters. If you're going to spend your time, spend it on something that matters to the world. THE DECISION TEAM Examples of key problems the team is working on - Automate the delivery of gigawatts. Every process that takes AI infrastructure from land to live compute becomes software: schedules, decisions, and todos generated from a live knowledge graph instead of chased by hand. - Forward-deploy beside the experts. Product teams sit with quality managers, sourcing leads, and deployment engineers on factory floors and sites, and turn their judgment into systems that reach every unit. - Deliver every supercomputer faster than the last. Dozens of concurrent projects feed one graph, so every lesson learned at one site becomes a preventive check at all of them. ROLE SCOPE - Build the fleet health system: real-time telemetry and tiered healthchecks on every machine across Kubernetes and bare metal, rolled into one API the whole company trusts to answer "is this machine healthy," with alarms correlated into incidents that reach on-call with a drafted probable cause. - Turn repair and RMA into generated work: one tracked flow from failure detection through triage, parts, vendor return, and return to service, where failure thresholds route machines to repair automatically, each production engineer's shift todo list is generated for them, and time to return to service is a number the system reports. - Ship hardware qualification as software: burn-in, performance baselining, and new hardware validation composed into rack-level workflows, so bringing thousands of accelerators online is a repeatable run and every machine enters production with its acceptance evidence attached in the graph. - Run the facility on the same system as the fleet: the maintenance system for lockout tagout and work orders is live at one site and rolls out to two more, every asset register loads before the first external audit this fall, and the legacy datacenter inventory retires before the next building energizes. You own the asset model, the migration, and the day the old tools switch off. - Turn every runbook into a checked procedure: SOPs, training records, and technician qualifications become structured data the customer can audit, and site SLOs, deployment cycle time, and labor ramp report themselves on the dashboards a hyperscaler customer asked for. You work forward-deployed beside production engineers and facility operators, on site and on the rotation, and build what they use the next shift. WHAT WE'RE LOOKING FOR The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would https://jobs.ashbyhq.com/fluidstack/05c2e69c-42f9-4fcb-9cf0-a467aaf98f1c. - You've shipped production code in Go, Python, or TypeScript, and you pick up whatever language the problem demands. - You've built real features on LLM APIs (OpenAI, Anthropic, or open-weight models), MCP servers, and agentic frameworks. - You work daily with AI coding tools like Claude Code and Cursor, and you get agents doing useful work autonomously alongside you. - You identify problems, design the solution, and ship it without waiting for direction or approval. - You've moved fast under deadline while leaving foundations that other engineers extended after you moved on. - You've sat the on-call rotation or worked beside the people who do, and you've turned operational pain into systems that made the pager quieter. - Your product taste shows in what you've shipped: interfaces the engineers on the rotation call obvious, and workflows that match how the work actually happens. - Bonus: Production engineering or SRE on large GPU fleets. Hardware qualification or burn-in frameworks. BMC, Redfish, or IPMI tooling. CMMS, DCIM, or asset management systems. BMS/EPMS or SCADA. Prometheus and Grafana. Benefits: - Competitive total compensation package (cash + equity) - Health, dental, and vision insurance - Retirement plan - Generous PTO policy We are committed to pay equity and transparency. Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.
Strategic Projects Lead
ABOUT US: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. THE ROLE: Fireworks AI is looking for a Strategic Projects Lead to drive high-impact, cross-functional initiatives. We’re looking for a high-agency operator to wear many hats at the intersection of Engineering, Product, and GTM. You’ll be part of the Fireworks product organization where you’ll be an expert in Fireworks’ products and customers. You’ll use that knowledge to drive high-priority, end-to-end projects across the company. KEY RESPONSIBILITIES: - Identify and create new strategic capabilities for Fireworks, like new GTM motions or standardized GTM playbooks - Build deep relationships with customers and lead strategic customer engagements from initial sale to long-term success - Determine product roadmap needs and instrument solutions end-to-end - Own and drive cross-functional initiatives from definition to execution, like partnership creation and model launches MINIMUM REQUIREMENTS: - We’re hiring smart hungry people at a variety of experience levels - 1+ years of experience in a high-ownership, fast-paced environment (consulting, product management, software or banking) - Entrepreneurial mindset - excitement about wearing many hats and ability to identify issues and execute quickly - Fluency to engage with senior stakeholders in client and partner organizations - Technical fluency in AI, ML infrastructure, or cloud platforms - Proven track record of leading complex technical or cross-functional initiatives - Analytical capability and comfortability driving decisions quantitatively - Excellent written and verbal communication skills - Bias toward action and high accountability PREFERRED QUALIFICATIONS: - Experience working on ML infrastructure, inference systems, or AI platforms - Experience supporting enterprise or strategic customers - Prior experience in infrastructure, DevEx, or performance optimization initiatives - Experience operating in high-growth startup environments WHY FIREWORKS? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Strategic Finance Manager, Infrastructure and R&D
ABOUT US: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. ABOUT THE ROLE This role owns the financial analysis behind our two largest investments: GPU infrastructure and R&D. On the infrastructure side, you'll model how we contract for capacity, how efficiently we use it, and what it costs to serve inference — the drivers that determine gross margin. On the R&D side, you'll partner with Engineering, Product, Security, and IT on headcount planning, tooling and vendor spend, and the operating budget. You'll work directly with leaders across infrastructure, engineering, product, and finance. It's an early to mid-career role with real scope, built for someone with a sharp analytical foundation who wants to understand how the business actually runs and help build the function and processes that enable Fireworks to scale. WHAT YOU'LL DO - Own the compute model: Build and maintain the financial model for our GPU fleet — capacity commitments, utilization, cost per GPU-hour — and how all of it flows through to unit economics, gross margin, and cash. - Support R&D finance: Serve as a finance partner to Engineering, Product, Security, and IT. Support R&D planning end to end: headcount and hiring plans, tooling and vendor spend, and the operating budget. - Support capacity planning: Serve as a source of truth for what capacity we hold, what we've committed to, and what we're actually using; partner with infra on the plan of record. - Analyze capacity commitments: Evaluate commitment structures and contract terms with cloud and GPU providers, surface optimization opportunities, and track provider performance and credit refunds. - Negotiate and manage vendors: Partner on software, tooling, and infrastructure vendor negotiations and renewals, bringing the analysis that gets us better terms. - Get operational: Sit in infra and engineering planning, learn how utilization, scheduling, and roadmaps actually behave, and bring that reality back into the financial model. - Forecast and explain: Support forecasting and variance analysis for compute, cloud, and R&D spend on a monthly cadence leadership can rely on, and explain the drivers behind the numbers clearly. - Split research from production: Track and forecast research and experimentation compute separately from production serving, and build the framework for evaluating return on R&D investment across teams and initiatives. - Build the function: Establish the reporting, dashboards, and processes that make compute and R&D economics legible to leadership. - Support the company narrative: Contribute the compute and R&D inputs to board materials, investor updates, and fundraising processes as they come up. WHAT WE'RE LOOKING FOR - 4-7 years of experience beginning with investment banking, private equity, or equivalent experience — this foundation is required for the modeling and analytical rigor it builds. - Ideally, subsequent time in a corporate or startup finance seat (strategic finance, FP&A, or corporate development) at a technology company. - Expert financial modeling skills — you can build from scratch, stress-test your own assumptions, and translate outputs into clear recommendations. - Genuine interest in operations. You want to understand the physical and technical system underneath the numbers, not just consume its outputs. - Comfort with messy and imperfect data. - Excellent communication with technical and non-technical audiences alike — you can take a messy question from a founder or an engineer and return a clear one-page answer. - Comfortable being both the architect and the operator, with strong instincts for building structure where none exists and building processes to scale. - High ownership and a bias toward action in an environment where priorities shift and ambiguity is the default. - Bachelor's degree, or equivalent practical experience. NICE TO HAVE - Experience at an AI/ML, developer platform, or cloud infrastructure company, and familiarity with how companies buy and use compute. - Exposure to cloud, data center, or semiconductor economics — CSP contract structures, capacity commitments, accelerator utilization. - Experience supporting an engineering organization as a finance partner, including headcount planning and vendor costs. - Working knowledge of GAAP treatment for infrastructure and capitalized software development costs. - Experience with consumption- or usage-based revenue models and how commits and tiers are structured around them. - Proficiency with SQL, Python, BI tools, or an ERP such as NetSuite. - Enthusiasm for using AI to automate the manual parts of finance work. WHO YOU'LL WORK WITH Engineering & Engineering Leadership, Infrastructure, Product, Security, IT, Finance & FP&A, Accounting, and Legal. WHY FIREWORKS? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Product Manager, Platform
ABOUT US: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. THE ROLE: Inference is at the core of what Fireworks does. It’s how specialized intelligence reaches production, and the platform around it is what makes it fast to adopt, easy to trust, and economical at scale. We’re hiring a PM to work on our core inference product and general platform, spanning inference performance and control, accounts and fraud reduction. As a PM working on our platform, you'll help set strategy, write specs, sit with customers running production traffic, and work across our inference, infrastructure, and go-to-market teams to deliver real customer impact. Example problems you may work on include figuring out whether we should let customers 5x their current rate limits, or cutting fraudulent free-tier usage without adding friction for legitimate users. KEY RESPONSIBILITIES: - Own the roadmap, strategy, and success metrics for parts of the Fireworks inference and platform product, across API, UI, and CLI. - Work directly with AI-native startups and enterprises running production inference. Watch them work, unblock them when they stall, and convert repeated pain into productized capability. - Own the commercial and trust surfaces of the platform, including accounts, onboarding, quotas and rate limits, billing, and fraud and abuse prevention - Partner with product marketing, sales, and the field to launch platform capabilities that land, like pricing and packaging, docs, cookbooks, and enablement. MINIMUM REQUIREMENTS: - 2 – 8+ years of product management experience building technical or developer-facing products (we are hiring at multiple levels for this role). - Strong technical background — CS/EE degree, production engineering experience, or equivalent depth earned on the job. - Familiarity with the inference lifecycle: model serving, latency and throughput tradeoffs, and how these connect to cost in production. - Demonstrated ownership of a product area end to end from strategy, spec, launch, to metrics. - Excellent written communication. You can write a spec, a launch post, and a customer-facing explanation of a tradeoff, and all three will be clear. - Comfort with ambiguity, and a bias toward shipping and learning over waiting for certainty. - Deep hunger and motivation. This isn't a 9-5 job and you'll be expected to step up, especially during periods of "wartime." PREFERRED QUALIFICATIONS: - You've personally built on top of an LLM API and felt the latency, cost, and reliability tradeoffs firsthand. - Experience with self-serve or PLG products — signup and onboarding funnels, usage-based billing, quota and rate-limit design. - Experience with trust and safety, fraud, or abuse prevention at scale — payment fraud, free-tier abuse, or account takeover. - Understanding of GPU economics and how utilization, batching, and latency SLAs trade off against margin. - Experience with cloud or developer platforms with metered pricing, or with the account, identity, and org-management surfaces enterprises expect. - Early startup or founding experience. WHY FIREWORKS? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Product Manager - Growth
ABOUT US: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. THE ROLE As a Product Manager, Growth, you're going to play a critical role driving growth and adoption for our product portfolio. You will improve how developers discover our platform, reach a successful model call, come back, and expand. The surface areas include inference, training, nexus, and the product around them: signup, docs, API and playground flows, model choice, errors, pricing, and the path from first request to a workflow someone relies on. RESPONSIBILITIES - Build and run a roadmap across acquisition, activation, retention, and monetization. Choose the few bets that change adoption, and leave the rest. - Take features from ideas through launch across the product suite. Own the developer moments that decide whether someone succeeds: time to first working request, a useful error, docs that match the product, a default model that is the right one, and a reason to come back. - Analyze product metrics and use behavior to identify gaps and validate fixes - Work across engineers, marketing, design, and product to drive broad cross functional execution - Spend time with developers. Learn how they actually build, including auth, model choice, latency, cost, evals, and the first time a call fails. Bring that context back in a form the team can build from. - Drive execution across engineering, design, marketing, and product so growth shows up in the product, not in a side project. EXPERIENCE - Strong analytical skills, with hands-on experience in A/B testing and funnel optimization - Excellent written and verbal communication, and a track record of aligning engineers, designers, and go-to-market partners around a shared plan - Thrives in ambiguous, extremely fast-paced environments, and can turn incomplete information into a clear next step - Technical background, including Bachelor/Masters degree in CS PREFERRED QUALIFICATIONS - 6+ years of product management experience, with the majority in developer experience or growth PM roles - Experience shipping on widely used products, with a bonus for consumption-based products - Experience building PLG and self-serve inside a business that also runs a sales-led motion WHY FIREWORKS? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Product Designer
ABOUT US: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. THE ROLE We're looking for a Product Designer who's obsessed with turning complex AI infrastructure into experiences developers actually love. You'll own design end-to-end — from how developers deploy models, to how they monitor inference, to how they build AI agents on our platform. This isn't about making things pretty. It's about making powerful things simple. You'll partner with engineers and PMs who think deeply about systems, and you'll use AI tools yourself every day to move fast and think bigger. If you get excited about console UIs, API ergonomics, and making a developer's "time to first inference" feel magical — we want to talk. WHAT YOU'LL DO - Own design from zero to ship — research, prototyping, high-fidelity design, and iteration based on real usage. - Make AI infrastructure intuitive — translate complex technical workflows (model deployment, inference monitoring, agent orchestration) into clear, usable interfaces. - Build and evolve our design system — establish the visual language and component library that keeps our platform consistent as we scale. - Partner deeply with Engineering and PM — sit at the table where product decisions are made, not downstream of them. - Design with AI, not just for AI — use AI-powered design tools to accelerate your own workflow. We practice what we preach. - Simplify developer experience across the platform — from onboarding to production, every touchpoint should feel cohesive and effortless. WHO YOU ARE - 5+ years of product design experience, ideally in developer tools, cloud platforms, infrastructure products, or complex B2B systems. - A strong portfolio that shows you can think in systems, not just screens — we want to see how you solve hard UX problems, not just visual polish. - Figma expert with fluency in supporting tools (FigJam, Framer, Principle, or similar). - Startup-tested — you've owned product areas end-to-end and thrive with ambiguity. - Genuinely curious about AI — you use LLMs, you follow the space, you have opinions about where it's going. This isn't a checkbox; it's core to the role. - A strong communicator who can articulate design rationale to engineers, PMs, and leadership. EVEN BETTER IF YOU HAVE - Experience designing for developer platforms, APIs, or cloud infrastructure (AWS, GCP, Azure, Vercel, or similar). - Familiarity with front-end development or design-to-code workflows. - Exposure to agent-driven UX patterns — how humans interact with autonomous AI systems. - An eye for turning technical constraints into design opportunities rather than limitations. WHY FIREWORKS? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Member of Technical Staff, Systems Infrastructure...
ABOUT US: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. THE ROLE: This role is designed for systems researchers finishing their PhD who want to see their ideas run on real fleets at real scale. As a Member of Technical Staff on the Systems Infrastructure team, you'll design and build the substrate underneath Fireworks — the schedulers, storage systems, and networks that keep tens of thousands of accelerators busy and inference latency low. The problems here are the ones your dissertation probably touched: how to place compute-intensive jobs across heterogeneous hardware without stranding capacity, how to move model weights and KV cache fast enough that they never become the bottleneck, and how to keep a datacenter network saturated with collective traffic without collapsing tail latency. The difference is that here you get a production fleet as your testbed and your work ships. You'll be paired with a senior engineer as a mentor and given a real problem from day one. Start dates are flexible around thesis defense timelines. AREAS OF FOCUS We're hiring across three areas — depth in any one of them is what we're looking for, not all three: - Scheduling & resource management: GPU job scheduling and scheduling of compute-intensive workloads across heterogeneous hardware; multi-tenant isolation, fair sharing and preemption, topology- and locality-aware placement, autoscaling, fleet utilization, and capacity planning across accelerator generations and vendors - Distributed storage & caching: High-performance distributed storage and caching for model weights, checkpoints, datasets, and KV cache; tiering across memory, local NVMe and object storage, cache admission and eviction policy, consistency, and fast cold-start and weight-loading paths - Datacenter networking: High-performance DC networks for AI workloads; RDMA/RoCE and InfiniBand, collective communication (NCCL/RCCL) performance, congestion control, topology design, load balancing, and tail-latency and reliability engineering at fleet scale KEY RESPONSIBILITIES - Design, build, and operate core infrastructure systems for large-scale training and inference - Model and measure system behavior — build the benchmarks, traces, and simulators needed to reason about scheduling, caching, and network performance before committing to a design - Identify bottlenecks across the stack, from kernel and driver to scheduler policy, and drive them out with data - Turn research ideas into production systems that hold up under real workloads, real failures, and real customers - Work closely with the research and inference teams so that infrastructure design and model design inform each other - Contribute to the team's technical direction by tracking emerging hardware, interconnects, and systems research MINIMUM QUALIFICATIONS: - PhD completed within the last 6 months, or expected completion by December 2026, in Computer Science, Computer Engineering, Electrical Engineering, or a similar field - Research background in one or more of: distributed systems, operating systems, scheduling and resource management, storage systems, computer networks, computer architecture, or high-performance computing - Depth in at least one of the three focus areas above, demonstrated through your dissertation, publications, or systems you've built - Strong systems programming skills in C/C++, Rust, Go, or a similar language, plus working proficiency in Python - Experience building and evaluating real systems — not only simulation — and reasoning rigorously about performance with measurements - Ability to communicate systems design and results clearly to audiences with different backgrounds PREFERRED QUALIFICATIONS: - First-authored publications at top-tier systems or networking venues (OSDI, SOSP, NSDI, EuroSys, SIGCOMM, ATC, FAST, ASPLOS, MLSys, SC, or similar) - Industry internships in infrastructure, cloud, or HPC, or meaningful open-source contributions to systems projects (Kubernetes, Ray, Slurm, vLLM, NCCL, DPDK/SPDK, Ceph, or similar) - Hands-on experience with GPU clusters, accelerator programming (CUDA, ROCm, Triton), or heterogeneous compute environments - Experience with Kubernetes and cloud infrastructure, or with operating multi-tenant clusters in production - Experience with performance profiling and debugging in distributed environments - Research or engineering experience demonstrated via grants, fellowships, patents, or systems competitions WHY FIREWORKS? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Member of Technical Staff, Software Engineer
ABOUT US: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. THE ROLE: You’ll be a core builder of the backend systems that power Fireworks: - Our main web application - Model and fine-tuning job orchestration - Billing and enterprise features - Accounts, org management, access controls - Policy enforcement and governance - APIs and developer tooling - And many other cool things! This is platform engineering with product impact. Your systems will directly shape how customers build on top of AI. You’ll work closely with product, frontend, infra, and GTM to ship end-to-end features — not just tickets. WHAT YOU’LL DO - Design and build scalable backend services - Own major product surfaces from architecture to production - Improve reliability, performance, and developer experience - Work directly with customers to understand pain points - Ship enterprise-grade features without enterprise slowness - Use AI tooling aggressively — we expect you to automate yourself YOU MIGHT BE A FIT IF - You like building real products, not just infrastructure for infrastructure’s sake - You enjoy driving initiatives across teams to get things done - You think in terms of systems, tradeoffs, and business impact - You care about developer experience and clean abstractions - You’re curious about AI and want to build where the future is going - You want ownership, not task lists MINIMUM QUALIFICATIONS - Comfortable collaborating with both humans and AI systems (Yes, We’re Serious) - 5+ years of experience helping humans solve real problems - 2+ years of working with AI — agents, bots, chats, or building on top of models WHY FIREWORKS? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
IT DevOps Engineer
ABOUT US: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. About the Role Fireworks serves billions of API requests a day, and the work of getting a model from merged to serving still passes through too many hands. Deploys wait on someone to run a step. Alerts land in a channel and wait for a human to route them. Provisioning a customer means clicking through three systems in the right order. Every one of those is a workflow nobody has written down as code yet. You will own the systems that close those gaps. That means running our CI/CD and infrastructure-as-code stack, and it also means building the automation layer above it — the orchestrated workflows, webhooks, and API integrations that connect model deployment to the internal systems around it. You will be the person the team asks about our API surface: how it authenticates, how it rate-limits, what breaks under load. You will spend as much time in n8n and Python as in Terraform and Kubernetes. The role sits in IT and operates as a peer to Platform Engineering — you co-own the delivery path rather than filing requests against it, and you carry decisions on their merits rather than through an org chart. High autonomy, few templates, and the freedom to choose tools that earn their place. What You’ll Own ORCHESTRATE THE AUTOMATION LAYER - Workflow architecture. Design, deploy, and maintain mission-critical workflows in n8n or an equivalent orchestrator, with real error-handling paths rather than happy-path scripts. - Operational automation. Replace manual runbook steps — engineering alerts, product provisioning, routine ops — with event-driven workflows that route themselves. - Custom nodes and logic. Build the custom nodes, webhooks, and functions the off-the-shelf integrations do not cover. OWN THE API SURFACE - Integration design. Design and secure internal and external integrations across REST, GraphQL, and webhooks, including OAuth2, mTLS, and API-key auth. - High-throughput data flows. Handle rate limits, retries, backpressure, and payload validation so integrations degrade predictably instead of silently. - Contract testing. Mock, test, and version APIs so a downstream change surfaces in CI rather than in production. CO-OWN DELIVERY INFRASTRUCTURE - CI/CD for model deploys. Co-own the deploy pipelines with Platform Engineering as a peer — tuned for fast AI model and infrastructure rollouts with zero downtime. - Infrastructure as code. Provision multi-cloud environments in Terraform, OpenTofu, or Pulumi — reviewed, reproducible, no console drift. - Containers and Kubernetes. Package and scale GPU and CPU workloads on EKS, GKE, or AKS with attention to utilization, not just uptime. MAKE FAILURE VISIBLE - Observability. Instrument pipelines and workflows with Prometheus, Grafana, or Datadog so a stalled automation pages someone before a customer notices. - Self-healing paths. Build retry, fallback, and escalation logic into workflows so the common failures resolve without a human. - Documentation as infrastructure. Keep the workflow map and runbooks current enough that someone else can debug your automation at 2am. What We’re Looking For - Two languages, deep. 6+ years building production systems, with strong Python plus JavaScript or TypeScript — clean, modular, async code, not glue scripts. - Workflow orchestration. Hands-on expertise with n8n, Temporal, Make, or a comparable platform, including custom nodes and error-handling design. - API fluency. You reason in payloads and endpoints: REST and GraphQL, webhooks, gateways, proxying, and the auth mechanisms behind them. - CI/CD ownership. You have owned pipelines in GitHub Actions, GitLab CI, or Jenkins through real scale and real incidents. - Cloud and containers. Production Kubernetes on AWS or GCP, with Terraform as your default way to change infrastructure. - Automation instinct. Your reflex after fixing something twice is to make the third time impossible. - Standing across teams. You have held technical ownership that crossed a team boundary, and earned it on judgment rather than reporting line. - Comfort with speed. You enjoy that the tooling landscape in generative AI shifts every quarter, and you evaluate new tools without chasing them. WHY FIREWORKS? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Head of Tax
ABOUT US: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. POSITION OVERVIEW We are seeking an experienced Head of Tax to lead and manage the organization’s indirect tax function. This role will be responsible for indirect tax compliance, reporting, planning, audits, and risk management, while serving as a key advisor to Finance, Accounting, Legal, Operations, and other business stakeholders. The successful candidate will bring strong technical expertise in indirect taxation, excellent judgment, and the ability to translate complex tax requirements into practical business solutions. This role is well suited to a tax professional who can operate strategically while maintaining strong oversight of day-to-day compliance and execution. KEY RESPONSIBILITIES INDIRECT TAX COMPLIANCE & REPORTING - Lead and oversee indirect tax compliance activities, including sales and use tax, VAT/GST, excise taxes, and other transaction-based taxes, as applicable. - Ensure accurate and timely preparation, review, and filing of indirect tax returns and related payments. - Maintain appropriate controls, documentation, reconciliations, and supporting workpapers for indirect tax accounts. - Monitor filing obligations, registrations, nexus requirements, and changes in the organization’s tax footprint. - Oversee third-party service providers supporting indirect tax compliance and reporting. TAX ADVISORY & PLANNING - Serve as the organization’s subject-matter expert on indirect tax matters. - Advise business partners on the indirect tax implications of new products, services, customer arrangements, geographic expansion, supply-chain changes, and other strategic initiatives. - Research and interpret complex indirect tax legislation, regulations, and administrative guidance. - Identify opportunities to improve tax efficiency, reduce risk, and recover overpaid taxes where appropriate. - Partner with Legal and Finance teams on contracts and commercial arrangements to ensure appropriate indirect tax treatment. AUDITS & RISK MANAGEMENT - Lead indirect tax audits, examinations, inquiries, and correspondence with tax authorities. - Develop audit strategies and coordinate responses, documentation, and negotiations with relevant authorities. - Proactively identify areas of indirect tax exposure and implement appropriate remediation plans. - Maintain and enhance the organization’s indirect tax control framework and ensure appropriate governance over key tax processes. - Monitor legislative and regulatory developments and assess their impact on the business. SYSTEMS, TECHNOLOGY & PROCESS IMPROVEMENT - Partner with Finance, Accounting, IT, and Operations to ensure appropriate indirect tax configuration within ERP, billing, procurement, and tax determination systems. - Drive automation and process improvements to increase the accuracy, scalability, and efficiency of indirect tax processes. - Support system implementations, upgrades, integrations, and business transformation initiatives from an indirect tax perspective. - Improve the use of data and analytics for compliance, reconciliations, audit defense, and tax risk management. LEADERSHIP & STAKEHOLDER MANAGEMENT - Manage, coach, and develop indirect tax team members, as applicable. - Establish priorities and ensure effective execution across compliance, advisory, audit, and project responsibilities. - Build strong relationships with Accounting, FP&A, Treasury, Legal, Procurement, Sales, Operations, IT, and other business teams. - Communicate complex tax matters clearly to both tax and non-tax stakeholders, including senior leadership. - Manage relationships with external tax advisors, consultants, and service providers. QUALIFICATIONS - Bachelor’s degree in Accounting, Finance, Taxation, Business, or a related field. - CPA, CA, JD, LLM, or other relevant professional qualification preferred. - 8+ years of progressive tax experience, with significant experience in indirect taxation. - Strong technical knowledge of sales and use tax and/or VAT/GST; experience with additional indirect taxes is advantageous. - Experience managing indirect tax compliance, audits, research, and advisory matters. - Experience in a Big Four/public accounting firm, multinational organization, or complex corporate tax environment preferred. - Strong understanding of accounting processes, financial systems, and internal controls. - Experience with ERP and indirect tax technology platforms such as NetSuite, Anrok ,Vertex, similar systems is preferred. - Demonstrated ability to manage multiple priorities and complex projects in a fast-paced environment. - Strong analytical, problem-solving, project-management, and communication skills. - Ability to work effectively across functions and influence stakeholders at multiple levels of an organization. PREFERRED ATTRIBUTES - Strategic thinker with a strong understanding of how tax considerations affect broader business decisions. - Hands-on leader who is comfortable moving between technical analysis and operational execution. - Strong attention to detail while maintaining a commercial and risk-based perspective. - Ability to simplify complex tax concepts and provide clear, actionable recommendations. - Comfortable operating in an evolving environment and building scalable tax processes. - Demonstrated commitment to developing people, improving processes, and strengthening controls. SUCCESS IN THIS ROLE Success will be measured by the accuracy and timeliness of indirect tax compliance, effective management of tax risks and audits, quality of advice provided to the business, improvements in processes and technology, and the ability to build a scalable indirect tax function that supports the organization’s growth. WHY FIREWORKS? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Head of Product Marketing
ABOUT US: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. ABOUT THIS ROLE The Head of Product Marketing owns a large part of how Fireworks shows up in the market. The winners in AI infrastructure will be defined by clarity of positioning, sharpness of category narrative, and the quality of the sales motion that converts technical believers into long-term customers. This role builds the messaging foundation, leads product launches, drives the competitive program, and arms the GTM team to win across priority segments. The right person has done this at an infrastructure or developer-tools company in the Series B to D stage and has scar tissue from positioning a deeply technical product to both bottoms-up developer audiences and top-down enterprise buyers across multiple buyer profiles. Reports to: SVP Marketing Location: SF Bay Area LOCATION & WORK STYLE This role is based in our San Mateo office. We expect team members in this role to be in the office three days per week. PMM sits at the intersection of product, sales, and engineering, and the work benefits from in-person collaboration, quick feedback loops, and proximity to cross-functional partners. RESPONSIBILITIES POSITIONING AND CATEGORY STRATEGY You own the Fireworks positioning, the category narrative, and the language we use to describe what we do and why it matters. This includes the corporate narrative, ICP definition, and the messaging architecture that every other team pulls from. You translate that architecture into segment-specific narratives for AI-Native, Digital-Native, and Enterprise accounts, each of which buys differently and values different proof points. Success is measured by whether sales reps, prospects, analysts, and press all describe Fireworks in a consistent way. PRODUCT LAUNCH LEADERSHIP You own the end-to-end go-to-market for major product launches in partnership with Product and Engineering. This includes launch tiering, narrative, sales enablement, press and analyst strategy, and customer evidence. Success is measured by launch quality, time from GA to first referenceable customer, and media/analyst pickup. COMPETITIVE INTELLIGENCE AND SALES ENABLEMENT You own the competitive program: battlecards, win/loss analysis, deal support for top opportunities, and the systematic feedback loop into Product. You also own the sales enablement curriculum for new and existing reps as it relates to our platform, tuned to how AI-Native, Digital-Native, and Enterprise buyers each evaluate the category. Success is measured by win rates against priority competitors and influence on time-to-productivity for new sellers. CUSTOMER AND MARKET INSIGHTS You own a structured listening function across customers, prospects, analysts, and the broader market. This includes win/loss interviews, voice-of-customer programs, and analyst relations. Insights flow back into messaging, product strategy, and the leadership team. WHAT SUCCESS LOOKS LIKE - Win rates against priority competitors trend up quarter over quarter across all three priority segments - Sales leadership names PMM as a top-three driver of pipeline conversion - Every major product launch lands with clear positioning, analyst coverage, and customer references in market - The Fireworks category narrative shows up in analyst reports, press coverage, and customer conversations using our language - Time from product GA to first reference customer drops materially WHAT THIS ROLE DOES NOT OWN - Demand generation and campaigns: Demand Gen leader - Developer relations and technical content: Head of Developer Relations - Brand identity and visual system: Head of Brand - Marketing operations, attribution, and reporting: Head of Marketing Operations WHAT THIS ROLE IS NOT - Not primarily a writing role. Sharp writing matters, but this is a strategic leadership role first, and you will hire ICs who report to you. - Not a content marketing role. Top-of-funnel content is supported by DevRel and Demand Gen. TEAM AND GROWTH You inherit a small PMM team and will build from there. YOU SHOULD HAVE - 10+ years in product marketing with 5+ years in a senior or leadership role - Experience scaling PMM at a developer or infrastructure company - Track record at a technical infrastructure company (databases, observability, AI/ML platforms, dev tools) - Strong ability to translate deeply technical concepts into both developer and executive narratives - A bias toward shipping over polishing, and the operational instincts to run a structured launch process - Fluency in competitive analysis and the ability to teach reps to position against incumbents and challengers - Demonstrated experience marketing to multiple buyer profiles simultaneously, including both technical practitioners and economic buyers NICE TO HAVE - Past experience marketing to AI/ML practitioners or ML platform buyers - Background as a former product manager or technical practitioner - Experience working closely with a founder-led narrative - Familiarity with open source go-to-market motions WHY FIREWORKS? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
GTM Engineer, Marketing & SDR
ABOUT US: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. We’re hiring a GTM Engineer to design, operate, and continuously improve the systems powering our marketing and SDR motion. This role sits at the intersection of marketing systems architecture and field execution — ensuring HubSpot, campaign tooling, and SDR workflows are not only well designed, but actively driving pipeline for our marketing and sales teams. You’ll work closely with marketers, SDRs, and GTM leadership to ensure our systems surface the right signals, automate the manual work, and help the funnel move faster — all in close partnership with the GTM Engineers on our RevOps side, so the stack stays one system instead of two silos. THE ROLE Everything about how marketing and SDR teams engage prospects is changing — and the pace of change is faster than ever. You’re an engineer first: someone who’d rather build the automation than repeat the manual task twice. You also happen to be genuinely energized by marketing — campaigns, messaging, funnel mechanics, and how a lead actually becomes pipeline. You architect and operate the marketing side of our GTM tech stack — ensuring tools like HubSpot, Lemlist, Clay, Harmonic, and Zapier work together seamlessly, and that data flows cleanly between them and Salesforce. You’ll design integrations, build messaging and lifecycle automations, and partner directly with marketers and SDRs to ensure the stack is actually helping them convert — improving workflows, removing friction, and making sure signals translate into action. When SDRs struggle with tooling, campaigns break, or lifecycle stages misfire, you step in to refine the system and make it better. WHAT YOU’LL OWN Marketing Systems & Automation - Design and maintain the architecture of our marketing tech stack, ensuring HubSpot and adjacent tools operate as a cohesive system with Salesforce - Build and maintain integrations across HubSpot, Lemlist, Clay, Harmonic, and Zapier - Design lifecycle, nurture, and messaging automations that eliminate manual work and improve conversion at each funnel stage - Ensure enrichment data, engagement signals, and activity history flow cleanly between marketing and sales systems SDR & Campaign Operations - Partner closely with SDRs and marketing leadership to ensure systems support real day-to-day outbound and campaign workflows - Design and maintain MQL → SDR → AE routing and handoff logic - Build and operate campaign infrastructure for demand gen programs (webinars, events, ABM plays) end to end - Support onboarding and training for SDRs on the tools and automations they run through daily Data Integrity & Marketing Insights - Help maintain HubSpot as a clean, reliable system of record, in step with Salesforce as the source of truth downstream - Support the marketing data model, automation, and field governance to ensure consistent data capture - Build and maintain reporting that provides visibility into funnel performance, campaign impact, and MQL quality — reconciled jointly with the RevOps GTM Engineering team so numbers match across systems WHAT WE’RE LOOKING FOR - 3–5 years in Marketing Operations, Engineering, or GTM Ops with real ownership of automation (not just tool usage) - Strong, hands-on HubSpot experience — admin or architect level - Experience managing a github repo - Working fluency in Salesforce — enough to understand lead/contact/campaign objects and MQL routing logic - Experience designing SDR operational workflows: sequencing, routing, handoff logic - Comfortable with scripting, webhooks, or APIs to connect systems and build automation - Strong systems mindset — understanding how data, integrations, and workflows connect - Curious about new marketing/GTM tools and excited to experiment with AI-driven workflows - Bonus: SQL literacy for campaign/funnel reporting; experience with messaging or personalization tooling WHY FIREWORKS? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Field Marketing Manager, Startups
ABOUT US: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. ABOUT THE ROLE: This is a new role within the Fireworks AI Marketing team, key to driving our pipeline efforts within events and creating a program for startup founders and early-stage operators. You’ll own the community, content, and marketing programs needed to build a vibrant, active, and engaged founder/operator network—one that shares startup journeys and best practices, provides product feedback internally, and champions Fireworks as an essential tool for early-stage teams. If you're a passionate field and experiential marketer looking for an opportunity to create extraordinary in-person experiences and build from the ground up, this is your chance to create innovative programs that directly shape Fireworks AI's brand experience in SF. You'll collaborate closely with cross-functional stakeholders in sales and customer success, delivering events that bolster the AMER sales team. You'll partner with our product marketing, creative studio, partner, devrel, and demand generation teams to develop high-value events. These in-person experiences will provide top-notch content and experiences for our customers and prospects. KEY RESPONSIBILITIES: - Create top notch experiences to delight customers and prospects, with a guest-first approach to creating field events and experiences that bring our brand and product to life. - Own end-to-end planning, execution, vendors, budgets, timelines of all event and field programs, including executive dinners, roundtables. workshops, trade-shows, and co-sponsored partner activations. - Drive measurable pipeline and revenue impact from every program - Develop pre-event, day-of, and post-event engagement strategies that maximize registration-to-attendance conversion and sales follow-up - Work hand-in-hand with sales teams to build targeted invite lists and ensure strong attendance from priority accounts - Track and report on program ROI to make recommendations on how we invest in field events to drive incremental business impact. SKILLS YOU'LL NEED TO BRING: - 5 + years of field marketing or event marketing experience in B2B SaaS - A passion for all things field and experiential marketing. You understand the purpose and place for all types of events - executive events, tradeshows, networking events - taking pride in delivering on the finest of details that make the difference between a good event and a great event. - Are a strong cross-functional collaborator who can work effectively with Sales, Partnerships, Creative, Communications, and executive stakeholders - Experience working cross functionally with sales leadership, sales representatives, customer success, creative, content, and product marketing. - Proficient in CRM and marketing automation software, must is Salesforce NICE TO HAVES: - Experience at a startup or hyper-growth company is preferred; especially within the Bay Area - Experience in startup marketing (B2B startup / founder-led GTM) is a plus - Experience delivering both in-person field events & larger scale user conferences - Familiarity with the AI/ML landscape and how developer and enterprise teams are adopting AI solutions. WHY FIREWORKS? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Senior Data Platform Engineer
FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About the Role We are building the data foundation that powers the full machine learning lifecycle for autonomous robotics. Our robots generate large-scale, multimodal datasets across real-world deployments, and turning that raw experience into reliable, discoverable, high-quality ML data is a core part of improving our autonomy systems. As a Data Platform Engineer, you will help design and build the platform that manages data from ingestion through processing, validation, labeling, dataset generation, training, and evaluation. This is not a traditional analytics data engineering role. You will work closely with ML engineers, researchers, labeling teams, robotics engineers, and infrastructure engineers to build scalable systems for robotics and ML data. What You'll Do Design and build scalable data architecture for large-scale multimodal robotics and ML datasets. Build abstractions and services for ingestion, processing, datasets, metadata, lineage, and data quality. Develop reliable pipelines for transforming raw robot data into versioned, ML-ready data products. Define data models, schemas, contracts, and lifecycle states across data-processing workflows. Build systems for tracking provenance and lineage across raw data, derived artifacts, labels, datasets, and downstream ML workloads. Develop automated validation and data-quality frameworks that detect incomplete, corrupted, or unusable data early. Design for incremental processing, reprocessing, backfills, and versioned transformations. Improve observability and failure diagnosis across complex data workflows. Partner with ML and robotics teams to understand domain-specific data requirements and turn recurring patterns into reusable platform capabilities. Work closely with infrastructure/platform teams on storage, compute, orchestration, reliability, and scalability. What We're Looking For Strong experience building production data platforms or large-scale data-processing systems. Strong software engineering skills, preferably Python and/or C++/Java/Go. Experience with distributed data processing and workflow orchestration. Experience with data lakes/lakehouses, object storage, metadata systems, schemas, and data versioning. Strong understanding of data quality, lineage, reproducibility, and reliable pipeline design. Experience with technologies such as S3, Airflow/Dagster, Spark/Ray, Kubernetes, Parquet, or similar systems. Ability to work across ambiguous organizational and technical boundaries. Strong systems-design and engineering judgment. Nice to Have Experience with ML datasets or ML infrastructure. Robotics, autonomous vehicles, sensor, video, image, LiDAR, or other multimodal data. Experience building internal developer/platform products. Experience operating pipelines at TB/PB scale.
Robotics Autonomy Engineer, Planning & Control
FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. About the Job Field AI is building the future of autonomy—from rugged terrain to real-world deployment. We’re on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. As our Robotics Autonomy Engineer – Planning and Control, you’ll design, implement, and deploy path planning, trajectory planning, obstacle avoidance, and motion control algorithms that enable our robots to move with precision, robustness, and efficiency across wheeled, legged, and humanoid platforms. You’ll be part of a deeply technical team advancing real-world robotic capabilities through cutting-edge research, simulation tools, and field validation. If enabling robots to navigate challenging, dynamic environments excites you, and you want to work where your code hits the ground (literally)—this is your role. This is Field AI. What You'll Get To Do Design, develop, and refine path planning and navigation algorithms for challenging real-world scenarios such as narrow passages, dynamic obstacles, and off-road or unstructured environments. Develop optimization based trajectory planning that ensures smooth, reliable, and efficient navigation across wheeled, legged, and humanoid platforms. Build real time obstacle avoidance and reactive planning layers that keep robots safe among people, machines, and changing terrain. Develop and tune control algorithms for precise trajectory tracking and stable operation across different robotic systems. Plan and track within the constraints set by our independent safety layer, and work with the safety team to keep nominal behavior well inside the safe envelope. Develop learning based planning and navigation, from learned navigation policies to foundation model driven mobility. Collaborate across autonomy layers for seamless coordination between perception, planning, and control. Build and maintain testing pipelines from unit-level validation to full robot deployment, using simulation for evaluation, benchmarking, and regression validation. Analyze real-world telemetry to diagnose field issues and deliver targeted improvements while maintaining general-case reliability. What You Have Master’s degree or higher in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field (PhD a plus) Strong understanding of motion planning, trajectory generation, and control systems. Experience in classical planning and control, such as path planning, trajectory optimization, and model predictive control (MPC) Experience implementing learning based navigation, such as learned navigation policies or vision language action models (VLA) for mobility Experience developing algorithms for one or more robotic systems (wheeled, legged, wheeled-legged, humanoid) Solid programming skills in C++ and Python on Linux-based systems Familiarity with robotics middleware such as ROS/ROS 2 Experience with robot sensors including LiDARs, stereo/depth cameras, IMUs, GPS, and wheel encoders The Extras That Set You Apart Exposure to real-world deployment of autonomous systems Background in optimization, control, or numerical methods for trajectory planning Experience with hybrid architectures that combine classical planners with learned components Experience deploying vision language models (VLM) or vision language action models for navigation on real robots Experience deploying planning or navigation stacks with real time onboard inference (ONNX Runtime, NVIDIA TensorRT) Contributions to open-source planning or control frameworks Familiarity with safety-critical autonomy and industrial robotics use cases
Software Engineer, Site Reliability
fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. ABOUT THIS ROLE You are a seasoned SRE who keeps production infrastructure running at scale. You own the reliability and availability of customer-facing systems — from Kubernetes clusters to deployment pipelines to the networking layer that connects it all. You think in SLOs, automate ruthlessly, and treat every incident as a chance to make the system better. WHAT YOU'LL DO: - Own and operate our Kubernetes infrastructure: cluster lifecycle, upgrades, networking, and multi-tenant isolation for customer workloads - Build and maintain CI/CD pipelines and deployment infrastructure - Leverage AI to an extreme level to automate analysis and resolution of production issues, and improve software development speed, reliability and maintainability - Build dashboards, alerting, and anomaly detection across our systems - Define and enforce SLOs and build out incident response processes - Manage and improve our networking, load balancing, and service mesh configurations - Drive reliability improvements across the stack through automation, runbooks, and chaos engineering QUALIFICATIONS/NICE TO HAVE: - 5+ years experience in managing critical production systems and software development workflows - Strong production experience setting up and operating Kubernetes at scale, using infrastructure-as-code (Terraform, Ansible) - Deep knowledge of Linux networking, container networking (CNI plugins, VXLAN, BGP), and DNS - Experience building CI/CD systems and GitOps workflows (FluxCD, ArgoCD) - Proficiency in Python and either Go or Bash for tooling and automation - Strong experience with logging, monitoring and alerting (Prometheus, Grafana, Loki, Thanos, VictoriaMetrics, Datadog) - Excellent communication and ability to drive technical decisions across teams - Self-starter who executes quickly, takes ownership, and constantly seeks improvement - Experience with managing GPU and AI/ML workloads - Experience with kernel-based monitoring and routing (eBPF, XDP) - Experience with security tooling (Falco, Coroot, SIEM) - Experience with bare metal Kubernetes networking (Calico, Cilium, MetalLB) - Experience with distributed storage systems (Ceph, Longhorn, etc.) What we offer at fal - Interesting and challenging work - A lot of learning and growth opportunities - We are currently hiring in downtown San Francisco. - Health, dental, and vision insurance (US) - Regular team events and offsites U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.
Software Engineer, Distributed Systems
fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. ABOUT THIS ROLE: You are an experienced software engineer who thrives on building large-scale computing platforms. You have deep expertise in large scale distributed systems that deal with high complexity, a lot of traffic and data. You know how to achieve reliability and scale with minimum operational load. WHAT YOU'LL DO: - Build our core Python/Rust platform: request routing, AI workload orchestration, scheduling, GPU autoscaling, large scale file storage, queueing, etc - Produce forward designs for platform evolution as we scale to 100x current traffic and need to provide low latency across the world - Leverage AI to an extreme level to automate the mundane parts of building complex but reliable systems - Profile and tune low level CPU and memory performance QUALIFICATIONS/NICE TO HAVE: - 3+ years experience building distributed compute and orchestration platforms in Python or Rust - Strong understanding of distributed systems fundamentals: consensus, scheduling, fault tolerance, capacity planning - Deep understanding of computational complexity and memory allocation - Track record of designing systems that scale under real production load - Experience building and using observability to drive performance and reliability decisions - Excellent communication and ability to drive technical decisions across teams - Self-starter who executes quickly, takes ownership, and constantly seeks improvement - Experience with AI/ML inference or training infrastructure - Experience with high-performance systems programming (async runtimes, zero-copy, memory-safe concurrency) - Background in building multi-tenant compute platforms - Understanding of networking fundamentals and performance characteristics - Familiarity with GPU workload characteristics and scheduling constraints WHAT WE OFFER AT FAL - Interesting and challenging work - A lot of learning and growth opportunities - We are currently hiring in downtown San Francisco. - We offer relocation assistance to San Francisco. - Health, dental, and vision insurance (US) - Regular team events and offsites COMPENSATION - $180,000-250,000 plus equity + benefits (This range is across all 3 levels Mid, Senior and Staff) U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.
Senior Data Scientist
WHY FACULTY? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here https://faculty.ai/impact. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. ABOUT THE TEAM Our Defence team is focused on building and embedding human-centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting-edge AI to high-stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on-site with these customers which may require travel to locations throughout the UK. When not required on client sites, you’ll have the flexibility to work from our London office or remotely from elsewhere within the UK. ABOUT THE ROLE: As a Senior Data Scientist, you will lead high-impact AI projects and shape the technical direction of bespoke solutions. This role requires hands-on technical excellence combined with crucial team leadership. You will define data science approaches, design robust software architectures, mentor junior colleagues, and ensure delivery rigor across projects all while building deep client relationships and solidifying our reputation as a leader in practical, measurable AI. WHAT YOU'LL BE DOING: - Mapping the end-to-end data science approach and designing the associated software Leading project teams that deliver bespoke algorithms and high-stakes AI solutions to clients across the sector. - Conceiving the core data science approach and designing the associated robust software architecture for new engagements. - Mentoring a small number of data scientists and supporting the professional growth of technical team members on projects. - Partnering with commercial teams to build client relationships and shape project scope for technical feasibility. - Contributing to Faculty’s thought leadership and reputation through delivering courses, public speaking, or open-source projects. - Ensuring best practices are followed throughout the project lifecycle to guarantee high-quality, impactful delivery. WHO WE'RE LOOKING FOR: - You possess senior experience in a professional data science position or a quantitative academic field. - You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep-learning framework (e.g., PyTorch). - You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating a proficiency across the standard data science toolkit, including the ability to develop new, innovative algorithms. - You bring a leadership mindset, focused on growing the technical capabilities of the team and nurturing a collaborative culture. - You exhibit commercial awareness, with experience in client-facing work and the ability to translate business problems into a rigorous mathematical framework. - You are skilled in project planning, assessing technical feasibility, estimating delivery timelines, and leading a team to deliver high-quality work on a strict schedule. OUR INTERVIEW PROCESS - Talent Team Screen (30 minutes) - Take Home Technical Test - Technical Interview (90 minutes) - Commercial Interview (60 minutes) #LI-PRIO OUR RECRUITMENT ETHOS We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.
Principal Research Scientist - AI Safety
WHY FACULTY? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here https://faculty.ai/impact. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. About the team Faculty conducts critical red teaming and builds evaluations for misuse capabilities in sensitive areas, such as CBRN, cybersecurity and international security, for several leading frontier model developers and national safety institutes; notably, our work has been featured in OpenAI's system card for o1. Our commitment also extends to conducting fundamental technical research on mitigation strategies, with our findings published in peer-reviewed conferences and delivered to national security institutes. Complementing this, we design evaluations for model developers across broader safety-relevant fields, including the societal impacts of increasingly capable frontier models, showcasing our expertise across the safety landscape. About the role The Principal Research Scientist for AI Safety will be the driving force behind Faculty's small, high-agency research team, shaping the future of safe AI systems. You will lead the scientific research agenda for AI safety, focusing on large language models and other critical systems. This role involves leading researchers, driving external publications, and ensuring alignment with Faculty’s commercial ambition to build trustworthy AI, giving you the opportunity to make a high-impact contribution in a rapidly evolving, critical field. What you'll be doing: - Leading the AI safety team's ambitious research agenda, setting priorities aligned with long-term company goals. - Conducting and overseeing cutting-edge AI safety research, specifically for large language models and safety-critical AI systems. - Publishing high-impact research findings in leading academic conferences and journals. - Shaping the research agenda by identifying impactful opportunities and balancing scientific and practical priorities. - Helping to build and mentor a growing team of researchers, fostering an innovative and collaborative culture. - Collaborating on delivery of evaluations and red-teaming projects in high-risk domains like CBRN and cybersecurity. - Positioning Faculty as a thought leader in AI safety through research and strategic stakeholder engagement. Who we're looking for: - You have a proven track record of high-impact AI research, demonstrated through top-tier academic publications or equivalent experience. - You possess deep domain knowledge in language models and the evolving field of AI safety. - You exhibit strong research judgment and extensive experience in AI safety, including generating and executing novel research directions. - You have the ability to conduct and oversee complex technical research projects, with advanced programming skills (Python, standard data science stack) to review team work. - You bring excellent verbal and written communication skills, capable of sharing complex ideas with diverse audiences. - You have a deep understanding of the AI safety research landscape and the ability to build connections to secure resources for impactful work. Our Interview Process 1. Talent Team Screen (30 mins) 2. Experience & Theory interview (45 mins) 3. Research presentation and coding interview (75 mins) 4. Leadership and Principles interview (60 mins) 5. Final stage with our CEO (45 mins) OUR RECRUITMENT ETHOS We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.
Lead Data Scientist
WHY FACULTY? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here https://faculty.ai/impact. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. ABOUT THE TEAM Our Defence team is focused on building and embedding human-centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting-edge AI to high-stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on-site with these customers which may require travel to locations throughout the UK. When not required on client sites, you’ll have the flexibility to work from our London office or remotely from elsewhere within the UK. ABOUT THE ROLE As a Lead Data Scientist, you'll take on a pivotal, entrepreneurial role, functioning as the technical expert who thrives on complexity and commercial impact. You will be responsible for setting the technical direction and ensuring the high-quality, scalable delivery of our most challenging, high-impact projects. This position combines deep expertise in machine learning with strategic oversight to define project roadmaps, manage technical risk, and architect reliable solutions. Your focus will be on driving innovation, mentoring cross-functional teams, and actively shaping both our technical standards and long-term customer relationships. WHAT YOU'LL BE DOING: - Setting the technical direction for complex, business-critical projects and expertly balancing trade-offs between speed, innovation, and reliability. - Designing and implementing reliable, production-grade technical solutions, ensuring comprehensive documentation of architectures and specifications. - Defining project problems, developing clear roadmaps, and overseeing end-to-end delivery across multi-disciplinary workstreams. - Leading technical scoping and feasibility studies for high-value sales opportunities and strategic customer engagements. - Managing relationships and communications with demanding clients, fostering trust and aligning technical solutions with shared long-term commercial goals. - Driving the adoption of best practices, shared resources, and robust technical processes across the wider Data Science craft. - Mentoring and developing other data scientists and team members, actively contributing to the growth and technical excellence of the organisation. WHO WE'RE LOOKING FOR: - You bring depth of expertise in at least one machine learning domain and strong technical breadth across the entire data science landscape. - You are a skilled technical leader, proficient in mentoring individuals, managing teams (including other managers), and rolling out impactful tools and workflows. - You have proven project management expertise, capable of dividing complex, ill-defined problems into actionable, clearly defined workstreams with timelines you can defend. - You are adept at managing ill-defined, high-risk tasks, consistently delivering innovative and practical outcomes under commercial pressure. - You possess strong customer leadership skills, able to act as a trusted technical advisor and drive long-term strategic relationships with demanding clients. - You excel at cross-functional collaboration, effectively aligning technical strategy with Engineering, Commercial (BD), and Infrastructure teams. - You have experience extending technical oversight to business unit-level initiatives, using your vision to influence and contribute to organisational success. OUR INTERVIEW PROCESS 1. Talent Team Screen (30 minutes) 2. Introduction to the team (30 minutes) 3. Take Home Technical Assessment 4. Technical Interview (90 minutes) 5. Commercial Interview (60 minutes) OUR RECRUITMENT ETHOS We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.
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