Browse AI Jobs — Page 29

PhD Machine Learning Engineer, Intern

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role As part of the trust team, you'll collaborate across functions to design and implement systems that streamline trust workflows, enhance decision-making around risk, and support responsible growth. The team operates as strategic advisors to key cross-functional partners — including Product, Operations, Legal, Marketing, and Engineering — to drive accountability, insights, and operational integrity across the business. In this role, you will be responsible for: - End-to-End Process Management — Build and maintain strategic automations and standardized processes that support trust and safety functions, promoting consistency and adoption across the org. - Cross-Functional Collaboration — Partner with Engineering and Growth teams to drive initiatives that enhance trust infrastructure and operational effectiveness. - Leadership Partnership — Serve as a trusted advisor to leadership, delivering strategic insights, risk reporting, and actionable recommendations. - Data-Driven Strategy — Oversee analytics across trust functions. Identify risk patterns and areas for improvement; build dashboards and insights that inform policy decisions and guide operational improvements. - Reporting & Analytics — Lead the design and management of dashboards, reports, and KPIs that measure trust and safety performance and impact. Who you are - Passionate about responsible AI and motivated by building systems that protect users and maintain platform integrity - Highly motivated with a strong work ethic — you understand the stakes of this moment in AI and are committed to getting it right - Analytical and first-principles oriented, comfortable navigating ambiguity and complex risk tradeoffs - Consistently deliver high-quality work quickly and take initiative from day one - Low ego, high ownership Requirements - Excellent communication skills and ability to translate complex risk data into clear recommendations - 4+ years in Security, Trust & Safety Operations, or Risk Operations at a high-growth technology company - Proven track record building end-to-end solutions, from data collection and analysis through to execution - Experience working cross-functionally with Policy, Legal, or Safety teams - Highly adaptable with a proactive approach to problem-solving and process improvement Location This role is remote-first, so it can be executed from anywhere in Europe. Preference for candidates based in London. LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

👤 HumanFull-timeMid

By ElevenLabsOct 30, 2026

Sales Enablement Operations Manager

$165,000 – $210,000

Perplexity's sales organization is growing fast, and our sellers need the right content, tools and AI workflows to win. As our first Sales Enablement Operations Manager, you'll be the strategic partner and builder behind how Perplexity's sales team finds, uses and learns from content. This role is both strategic and hands-on. You'll work with the Sales Enablement Lead to define our content management strategy, including whether to build on Perplexity's own AI platform or buy a dedicated tool. Then you'll build it, run it and keep improving it. You'll also build AI skills, plugins and workflows that make reps and managers faster and more effective every day. This is a foundational hire. We're looking for someone who can grow into a leadership role as the enablement function scales. Responsibilities Help shape content and knowledge strategy - Partner with the Sales Enablement Lead to define the long-term content management strategy for the sales team, from requirements to the build-vs-buy decision. - Work alongside the Sales Enablement Lead on the evaluation: gather stakeholder needs, assess options (including Perplexity Computer and third-party platforms), model costs and tradeoffs, and shape a joint recommendation to sales leadership. - Design the content architecture: taxonomy, ownership, governance, approval workflows and lifecycle (create, review, update, retire). Help build and run the enablement stack - Own the implementation and maintenance of the sales content hub, call library and training platform, leveraging Perplexity throughout. - Help coordinate with Revenue Operations, Product Marketing, Product and Legal so content is accurate, approved and available where sellers work (Salesforce, Slack, call-recording tools). - Own enablement reporting: content usage, training completion, certification status and how they relate to ramp and performance. Build AI tools for the sales team - Design, build and maintain AI skills, plugins and agent workflows for account executives, BDRs and sales managers, such as account research, call prep, deal reviews, coaching and pipeline hygiene. - Turn repeated seller and manager tasks into reusable AI workflows, then drive adoption through training, documentation and feedback loops. - Develop training materials for sellers and managers on using AI tools well, and keep a shared library of best practices. Lead and scale - Set the standards for how enablement content and AI tools get built, contributed and maintained across the GTM organization. - Act as a trusted thought partner to enablement leadership on priorities, operating model and tooling. - Help shape the enablement operations function as the team grows, with a path to leading it. What we're looking for - 4–6 years in go-to-market roles, with at least 2 years owning sales enablement operations, revenue operations, GTM systems or sales content strategy. - Experience owning a sales content or knowledge system end to end, including taxonomy, governance, adoption and measurement. - A track record of leading or heavily shaping a tooling decision, such as a platform evaluation, migration or in-house build. - Real, hands-on AI fluency: you've built AI tools or workflows (custom GPTs, Claude or Perplexity skills, MCP connectors, n8n, Zapier, Clay or similar) that other people use regularly, and you can show examples. - Systems thinking: you understand how content, CRM, call-recording and communication tools connect, and you design for how sellers actually work. - Strong judgment and the ability to make a clear recommendation and defend it with leadership. - Experience driving cross-functional projects without formal authority. - Clear written and verbal communication, and a bias toward shipping, measuring and iterating. Nice to have - Experience as the first enablement operations or GTM systems hire, building the function from scratch. - Hands-on experience with enablement platforms such as Highspot, Seismic, Guru, Mindtickle or Showpad. - Background as an AE, SE or BDR before moving into enablement or operations. - Experience managing or mentoring contractors, interns or direct reports. - Experience at a high-growth AI or SaaS company. What success looks like - First 90 days: You've assessed current content and tools, interviewed sellers and managers, made a build-vs-buy recommendation with the Sales Enablement Lead, and shipped the first AI skills the sales team uses every week. - First 6 months: A governed content hub and call library are live and adopted, enablement reporting is in place, and a growing library of AI tools is measurably saving time for reps and managers. - First year: Enablement operations is a scalable function with clear standards, and you're ready to lead it as the team grows.

👤 HumanFull-timeSenior

By PerplexityOct 30, 2026

Support Specialist, US Tier 1

$65,000 – $80,000

We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. About the role * Open to hiring in the US. We're building a creative platform used by artists, filmmakers, and teams at some of the world's most recognized brands. Our support org handles everything from a five-minute billing question to a technical escalation, and we're building out a dedicated tier for the first kind so our more experienced specialists can focus on the second. We're looking for a Support Representative who's accurate, fast, and comfortable following a process closely under volume. No creative or AI background required. We'll train you on the product. What you’ll do - Resolve high-volume, tickets across account access, billing, and plan questions for Free, Standard, and Pro and Max users - Use existing macros, playbooks, and AI support layer suggestions to close tickets accurately and quickly - Recognize when a ticket needs product judgment or creative-tool troubleshooting, and route it to Tier 2 Support or Enterprise - Flag recurring questions that don't have a macro yet What you’ll need - Clear, accurate written communication, especially on process-driven, checklist-style work - Comfortable with repetitive, high-volume work without losing accuracy - Prior experience with tools like Zendesk, Notion, or Slack is a plus, not a requirement - 0-2 years in any customer-facing or process-driven role (preferably in SaaS, but not required) - Enough curiosity to spend a little time in the product or help docs before talking to us. No creative background needed, just evidence you looked What sets great candidates apart The best people in this role follow the playbook precisely and know exactly when a ticket doesn't fit it. They don't force a wrong answer to hit volume, and they don't escalate everything out of caution either. They've put in enough time with Runway to have a real sense of what it does and who uses it, so a ticket that's slightly off-script doesn't stump them, even without a creative background. When they see the same question surface three times, they ask whether it should become a macro instead of just answering it a third time. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator - GWM-1 - Gen-4.5 - General World Models - Robotics SDK - Conversational Real-time Agents - Runway Studios We're excited to be recognized as a best place to work: Crain's | InHerSight | BuiltIn NYC | INC

👤 HumanFull-timeRemoteMid

By RunwayOct 30, 2026

Manufacturing Quality Engineer, Data Center Equipm...

$165,000 – $290,000

About the Team OpenAI and its capital and technology partners are building a global network of data centers for demanding AI workloads. The Infrastructure Quality team sets and verifies quality, reliability, and performance requirements for equipment across that network. We work with manufacturing partners, general contractors, engineers, and operations staff from supplier qualification through commissioning. Together, we verify that equipment arrives ready for installation, startup, and long-term service. About the Role As a Manufacturing Quality Engineer, you will oversee the quality of data center equipment at supplier factories. You will use production data, audits, and test results to identify systemic, recurring, or safety-related issues and work with suppliers to address them through Closed Loop Learning (CLL). You will work with suppliers and internal teams to define inspections and factory tests for each type of equipment. You will coordinate issue resolution before shipment and manage deviations across multiple suppliers and project sites. Key Responsibilities Manufacturing Monitoring and Supplier Improvement - Manufacturing monitoring: Work with Manufacturing Operations to monitor production progress, quality controls, inspection results, and test readiness. Flag emerging risks and coordinate a response with suppliers. - Product and process audits: Audit products and processes during and after production against engineering requirements, critical-to-quality (CTQ) characteristics, approved procedures, and quality standards. Document findings and track corrective actions to closure. - Manufacturing coordination: Agree on production checkpoints and inspection and testing requirements with suppliers, engineering, sourcing, supply chain, commissioning, and quality teams. Escalate risks to equipment acceptance or delivery. - Manufacturing scorecards: Develop supplier and product scorecards with Manufacturing Operations. Review audit findings, test results, recurring defects, and open issues with suppliers to prioritize improvements. - Drive continuous improvement: Lead the CLL process with suppliers. Track root cause analyses and corrective and preventive actions in a shared register. Verify that each action addresses the underlying problem before closing it. Factory Acceptance Testing (FAT) - Standardize requirements and formats: Develop product-specific FAT requirements and standard test formats with equipment suppliers and OpenAI’s engineering, commissioning, quality, and Manufacturing Operations teams. - Define critical quality requirements: Document the CTQ characteristics each test must verify in an OpenAI-accepted format. Use CLL findings to revise FAT procedures so future tests check for known failure modes. - Ensure auditable supplier records: Require suppliers to retain test results and make them available for OpenAI audits. - Manage documentation and revision control: Review final FAT records and audit reports for each piece of equipment and maintain a controlled revision history. - Conduct periodic supplier audits: Check that suppliers follow approved test procedures and that their records accurately reflect the tests performed. Factory Witness Testing (FWT) - Align checklists and stakeholders: Develop standard FWT checklists with OpenAI subject matter experts, installing contractors, and the construction management team. Agree on requirements before testing begins. - Manage documentation and reporting: Collect and review final witness test reports and supporting records from participants. - Before shipment, confirm that each witness-test issue is resolved or covered by a documented deviation. Log systemic, recurring, or safety-related findings in the CLL tracker and verify the effectiveness of corrective actions with the supplier. Deviation Management - Assess short shipments and missing or failed tests in partnership with Manufacturing Operations. - Coordinate supplier support to resolve issues at the project site. - Document each deviation and track the agreed actions through closure. Qualifications - Bachelor’s degree in electrical, mechanical, or industrial engineering. - At least 10 years of data center industry experience spanning quality engineering and project management. - Experience coordinating FAT and FWT with suppliers and resolving equipment quality issues. - Ability to develop test checklists, define CTQs, review test results, and maintain auditable quality records. - Experience monitoring supplier production, auditing products and processes during and after production, and using scorecards to improve supplier and product quality. Experience managing controlled documents and deviations. - Ability to coordinate supplier schedules and plan inspections and tests across multiple pieces of equipment. - Ability to communicate quality requirements and coordinate decisions across suppliers, engineering, commissioning, sourcing, supply chain, manufacturing, operations, quality, and construction teams. - Willingness and ability to travel approximately 40–60% of the time to supplier manufacturing facilities and data center project sites. Preferred Skills - Technical knowledge of data center infrastructure, including mechanical, electrical, and controls systems. - Experience in supplier performance management for mission-critical facilities. - ASQ Certified Quality Engineer, Quality Manager, or Quality Auditor. - PMP or equivalent project management certification. - Experience in industrial or high-volume manufacturing environments. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

👤 HumanFull-timeRemoteSenior

By OpenAIOct 30, 2026

Lead Counsel, Commercial (Energy - Infrastructure)

$330,000 – $423,000

About the Team OpenAI’s Legal team plays a crucial role in advancing our mission by tackling innovative and fundamental legal issues in AI. The team includes professionals from diverse legal fields—technology, AI, infrastructure, privacy, IP, corporate, employment, tax, regulatory, and litigation—who collaborate closely with colleagues across the company. If you are passionate about being an energy and infrastructure lawyer working on cutting-edge challenges, you’ll thrive here. About the Role We’re seeking an experienced energy lawyer to support the business on legal matters relating to the energy and power infrastructure supporting OpenAI’s fast-growing data center portfolio. This is a cross-functional role that will partner closely with energy, infrastructure development, engineering, procurement, and finance teams to advise on complex legal and regulatory issues and help structure, negotiate, and manage the transactions that secure reliable, cost-effective power for OpenAI’s long-term infrastructure ambitions. We’re looking for an experienced energy and infrastructure lawyer who thrives in ambiguity and wants to help define the commercial playbook for power procurement and energy project development in the AI era. This role reports to the Associate General Counsel for Infrastructure. The role’s scope and level will reflect the successful candidate’s experience and expertise. In this role, you will: - Own legal strategy and risk management for OpenAI’s global energy procurement and power infrastructure transactions, from initial structuring through execution and ongoing implementation. - Draft, negotiate, and advise on complex power purchase agreements, energy supply and hedging arrangements, and utility service and special contracts, including related regulatory requirements and approvals. - Structure and negotiate interconnection, transmission, and utility infrastructure arrangements that align power availability with data center development and operating schedules. - Advise leadership and business leaders on legal and regulatory considerations as they develop and implement our energy and data center strategy - Support strategic partnerships involving renewable and other carbon-free generation, energy storage, and on-site or behind-the-meter power solutions for AI infrastructure. - Develop legal and regulatory frameworks for energy procurement, project development, and collaboration with utilities, independent power producers, and energy developers. - Partner with finance and operations teams to align contract terms with business and compliance requirements, including pricing, delivery and curtailment risk, credit support, and project milestones. - Collaborate with policy and regulatory colleagues on issues impacting energy transactions, utility tariffs, grid access, market participation, retail service requirements, and renewable energy attributes. - Build scalable, efficient contracting processes that support OpenAI’s energy and infrastructure development at speed while managing legal and regulatory risk. - Guide outside counsel and coordinate with real estate, construction, tax, and regulatory counsel on energy transactions and project development. You might thrive in this role if you: - 10+ years of legal experience, with substantial focus on complex commercial energy transactions. - Have a JD and license or qualification to practice in CA. - Relevant experience in-house, at a law firm, or a combination of both, advising energy companies, utilities, developers, major power customers, or infrastructure investors. - Demonstrated experience independently leading complex energy transactions, including power purchase, utility service, or interconnection agreements. - Familiarity with U.S. electricity markets, utility tariffs, and the regulatory frameworks affecting energy supply, interconnection, and transmission, including FERC, state utility commissions, and regional grid operators. - Strong commercial judgment and financial fluency in energy pricing, volume commitments, credit support, and allocation of development and operating risk. - Demonstrated ability to operate with autonomy and sound judgment in highly technical and fast-moving environments. - Exceptional communication skills, with an ability to distill complexity into actionable, business-aligned guidance and advise senior business leaders on strategic decisions. - Experience advising on cross-border energy deals and international energy regulatory frameworks is a plus. - Prior experience with data center power procurement, generation or storage development, energy project finance, joint ventures, or on-site and behind-the-meter energy projects is a strong plus. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

👤 HumanFull-timeSenior

By OpenAIOct 30, 2026

IT Engineer

$150,000 – $180,000

At Perplexity, we're changing how the world finds answers. In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to turn knowledge into action, and behind all of that is the technology infrastructure that keeps a fast-moving company running. We're looking for an IT Engineer who is early in their career and wants to learn and grow quickly. You'll join a small, high-impact IT team and help build the systems and automations that keep everyone moving. We want someone who ramps fast, reaches for AI first and doesn't wait to be told what to fix. You'll use AI tools daily to build a world-class AI-native IT platform. This role is hybrid at our San Francisco office. What you'll do: • Use Perplexity's Computer to build foundational AI automations, custom skills, and workflows that run IT at scale. • Instrument and tune our agentic IT ticketing system: spot trends, track KPIs, and engineer agent behavior to resolve requests quickly. • Give employees great day-to-day IT support, in person and remotely, across hardware, accounts, and SaaS apps. • Build and promote self-service tools across the company. • Contribute to IT projects across endpoint management, identity and access management (IAM), and our IT back end. Qualifications: • 3+ years of experience in IT help desk and systems administration, ideally in a fast-growing startup. • Experience with macOS and Google Workspace. • Experience with Google Workspace, Okta, ideally Okta Workflows • Experience using AI coding tools and scripting languages like Bash or Python. • Familiarity with MDM like Iru or Intune is a plus. • A methodical approach to root-cause troubleshooting and strong interest in automating away repetitive tasks. • Clear, friendly communication and enjoyment in helping people.

👤 HumanFull-timeMid

By PerplexityOct 30, 2026

Head of Corporate Accounting

Negotiable

Scale is looking for a Head of Corporate Accounting to lead its global Corporate Accounting function. Reporting directly to the Global Controller, you will own general ledger, cost, and international accounting and consolidation, leading a team of functional leads across each area. This role will be instrumental in optimizing our month-end close process, reducing inefficiencies and risk, and scaling the processes, controls, agentic workflows and systems that support Scale's growth. The ideal candidate is a hands-on leader with deep U.S. GAAP expertise, extensive experience running a multi-entity global close, and a proven track record of leading process improvement projects that deliver measurable results. You will: - Own the close: Lead the month-end close across all entities, ensuring timely and accurate financial results in accordance with U.S. GAAP - Lead the Corporate Accounting team: Manage and develop the GL, Cost, Revenue, and International Accounting leads and their teams, setting clear priorities and building a culture of ownership, accuracy, and continuous improvement - Treasury operations: Manage the company’s day-to-day treasury operations, including daily cash positioning and monitoring, bank account administration and banking relationships, intercompany funding and cash movements - Policies and controls: Own key internal policies related to corporate accounting (fixed assets, prepaid expenses, accrued liabilities, capitalized internal-use software, etc.) and maintain an effective controls environment that reduces financial reporting risk - General ledger: Oversee the review of journal entries, account reconciliations, and flux analyses, and maintain the general ledger in accordance with U.S. GAAP - Drive process improvement: Identify, prioritize, and lead process improvement and automation initiatives that shorten and de-risk the close, leveraging NetSuite, AI-enabled close tools, agentic workstreams, and internal systems to drive efficiency and accuracy of financial reporting - Partner cross-functionally: Collaborate with Technical Accounting, Finance, and Tax to implement and operationalize new technical accounting guidance and new business activities - External audit: Serve as a key point of contact for external auditors, leading corporate accounting deliverables for the annual audit Ideally you'd have: - 12+ years of progressive accounting experience across public accounting and corporate accounting leadership roles; Big 4 experience preferred - Certified Public Accountant (CPA) license (required) - Bachelor’s degree in Accounting or Finance - Strong experience with NetSuite - Deep experience with multi-entity international subsidiaries, intercompany accounting, and global consolidation - Expert knowledge of U.S. GAAP and full-cycle month-end close processes - 5+ years of people leadership experience, with a demonstrated ability to build and lead high-performing teams in a fast-paced environment - Excellent organizational skills and ability to handle multiple priorities within deadlines - Proven track record of leading process improvement projects end to end (e.g., shortening the close, automating reconciliations and accruals, implementing close or ERP tooling) with measurable results - Ability to challenge the status quo, influence change, and streamline processes and operations Nice to haves: - Hands-on experience implementing AI-powered accounting or close automation tools - Experience at a fast-growing AI or technology company Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of San Francisco is: $180,800 - $226,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

👤 HumanFull-timeExpert / Staff+

By Scale AIOct 30, 2026

Research Program Manager, Safety Systems

$239,000 – $328,000

About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models. We work across research, engineering, product, and policy to understand risks, develop and validate safeguards, and support responsible deployment. Our work spans safeguards research and deployment, safety assessments, launch readiness, and trusted-access programs for advanced capabilities. We address risks including biological and cyber misuse and misalignment, with programs that strengthen safety across models and products. About the Role We’re hiring Research Program Managers across AI Safeguards and Frontier Risks Safety. You’ll lead programs that develop and improve the safeguards used across our models and products, or assess and mitigate risks associated with frontier capabilities, launches, and trusted-access programs. You will partner with researchers, engineers, and other stakeholders to turn open safety questions into clear programs of work. You’ll shape technical roadmaps, coordinate execution, and use evidence to guide priorities and inform development and deployment decisions. We’re looking for people who combine strong technical judgment, experience managing complex research programs, and a commitment to AI safety. These roles are based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Shape safety programs and technical roadmaps. Partner with research and engineering leads to define goals, milestones, dependencies, and success criteria. Prioritize intake and emerging findings, resolve blockers, and balance immediate safety needs with longer-term research and platform investments. - Drive safeguards development and deployment. Translate safety research into safeguards across models and products. Maintain an end-to-end view of safeguard coverage, effectiveness, and opportunities for improvement for one or more risk areas, and drive a roadmap that advances across launches. - Coordinate evaluations and safety assessments. Organize capability evaluations, alignment and control assessments, adversarial testing, and safeguard stress-testing, including risks from autonomous and multi-agent systems. Support embedded assessments throughout model development, internal use, and deployment. - Drive safety readiness and trusted-access programs. Coordinate safety requirements and execution across frontier model launches and deployments. Work with technical teams to define assessment scope and the evidence needed to inform safety and access decisions. - Turn findings into improvements. Triage safeguard gaps, jailbreaks, and overflagging with accountable teams. Establish owners and escalation paths, track remediation and regression testing, and turn recurring issues into research and engineering improvements. - Strengthen the evidence behind safety decisions. Support safety cases that connect claims to evaluations, safeguards, assumptions, and remaining uncertainty. Surface evidence gaps and unresolved risks, and communicate methods, results, limitations, and follow-up actions through assessment reports, system cards, and updates to decision-makers. - Build programs that scale across products. Coordinate shared tooling and feedback workflows, privacy and security requirements, and safeguard user experience and quality assurance. Help teams apply safeguards consistently across product surfaces and upcoming launches. You might thrive in this role if you: - Have 5+ years of experience in technical safety work, owning technical programs, or related roles in fast-moving environments. - Have led complex research or technical programs involving researchers and engineers, particularly in AI, cybersecurity, biosafety, or another field where failures can have serious consequences. - Understand frontier AI safety concepts, including capability evaluations, alignment, control, monitoring, and safeguard robustness, and can engage substantively with technical teams. - Can assess what evaluation results do and do not establish, including methodological limitations, uncertainty, and the difference between model capability and real-world risk. - Can turn ambiguous questions into clear programs, make practical tradeoffs, and adjust priorities as evidence changes. - Have worked extensively across research, engineering, and product teams and can coordinate with policy and communications partners. - Exercise sound judgment when findings are concerning or incomplete, raise unresolved risks constructively, and communicate complex technical work clearly. - Are motivated to help ensure increasingly capable AI systems remain beneficial and under meaningful human control. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

👤 HumanFull-timeSenior

By OpenAIOct 30, 2026

IP Paralegal

$130,000 – $210,000

Perplexity AI is looking for a highly organized and resourceful IP Paralegal to serve as the operational backbone of a fast-growing, full-stack intellectual property program, with a primary responsibility for patent and trademark prosecution and portfolio management, and additional support work across copyrights, trade secrets, and open source compliance. This role reports to the Director of Intellectual Property and offers significant responsibility and direct exposure to novel questions at the intersection of artificial intelligence and IP law, as well as growth potential across other areas of an in-house practice group. You will partner closely with outside counsel, engineering stakeholders, and cross-functional teams to run the workflows behind a growing patent and trademark portfolio, maintain copyright and trade secret practices, and support open source compliance review. You will own day-to-day docketing and portfolio hygiene, manage outside counsel requests and billing against budget, and run intake and matter tracking so that nothing slips. You will also run our patent rewards program end-to-end and be a go-to resource for IP diligence support and IP-adjacent needs, including commercial and litigation support as needed. This role requires a genuine curiosity about using agentic AI systems to make the IP program run faster and more consistently, rather than treating AI tooling as an afterthought. This is a hands-on role for someone who is detail-obsessed, comfortable moving across multiple IP disciplines in the same week, fluent with AI and legal-technology tooling, and energized by building repeatable systems from the ground up so that a lean team can run a large, technically complex portfolio. If you are a curious person and your instinct when something breaks is to redesign the process, you will do well here. Key Responsibilities - Manage end-to-end workflows across the patent and trademark portfolios, including docketing, deadline tracking, filing coordination, portfolio maintenance, and status reporting to internal stakeholders. - Support trade secret protection practices and open source compliance review, including tracking disclosure and license obligations and flagging issues for attorney review. - Administer copyright matters, including registration filings, recordation, and portfolio record keeping. - Own intake and triage for new invention disclosures, trademark clearance requests, and other IP matters. - Manage outside counsel relationships and billing, including matter budgets, accrual tracking, invoice review against outside counsel guidelines, rate negotiation support, and matter-management hygiene in billing systems. - Run the patent rewards program. - Prepare and file U.S. trademark applications and coordinate foreign filings through local counsel. - Run preliminary clearance searches for new products and features. - Coordinate trademark office action responses, review watch notices, and recommend enforcement actions. - Manage the domain name portfolio and the online brand protection and takedown programs. - Conduct IP portfolio analysis, including filing trend tracking, competitive landscape monitoring, and gap identification, to support portfolio strategy and prosecution priorities. - Provide support on IP-adjacent matters as needed, including commercial contract IP terms and litigation support (e.g., document gathering, chronologies, and coordination with outside counsel). - Maintain and improve internal file management systems, trackers, and dashboards, keeping matter data, deadlines, and portfolio status current and audit-ready. - Build and improve the systems behind the work, including intake workflows, filing playbooks, matter templates, and escalation paths, so that recurring problems are solved structurally rather than absorbed by heroics. - Use and help evolve agentic AI tools to support IP workflows such as docketing, disclosure intake, prior art gathering, and portfolio reporting, and bring ideas for where automation can meaningfully improve program efficiency. Qualifications Need to have: - A sense of humor and a team mindset - 10+ years of experience as an IP paralegal, with a mix of in-house and law firm experience - Demonstrated AI tool fluency and genuine curiosity about applying agentic AI systems to IP program operations - Hands-on experience supporting a mix of patent and trademark prosecution workflows, including docketing, filing coordination, and portfolio maintenance - Working knowledge of copyright administration and trade secret protection practices - Experience managing outside counsel relationships, including invoice review, budget tracking, and adherence to outside counsel guidelines - Experience managing a high volume of concurrent matters and deadlines with strong organizational skills and exacting attention to detail - Ability to multitask and effectively manage competing priorities in a fast-paced startup environment - Excellent written and verbal communication skills, including the ability to correspond directly with outside counsel, inventors, and internal stakeholders - Demonstrated discretion and sound judgment when handling confidential and privileged material - Genuine interest in IP diligence work and in stepping into IP-adjacent needs as they come up, including commercial and litigation support Nice to have: - Paralegal certificate, associate's degree in paralegal studies, or bachelor's degree - Direct experience with open source license compliance review - Experience running or supporting an inventor recognition or patent rewards/incentive program - Experience supporting IP diligence for M&A, financing, or commercial transactions - Litigation support experience (e.g., discovery, document review, case file management) - Experience with IP portfolio analytics, competitive filing intelligence, or landscape mapping - Direct experience with docketing platforms, IP management software, and legal billing or matter management systems - Experience at a high-growth technology startup - Interest in artificial intelligence laws and regulations

👤 HumanFull-timeSenior

By PerplexityOct 30, 2026

Contracts Manager, GTM

Negotiable

$234,000 – $335,000

About the Role OpenAI’s largest and most strategic customers are turning AI ambition into deployments that change how their organizations work. As a Delivery Lead, you will own delivery of priority AI initiatives for these customers, leading complex, high-impact deployments from planning through launch and adoption. You’ll establish an integrated delivery plan, drive execution against launch commitments, resolve blockers, and lead progress toward measurable customer value. You’ll partner closely with account and technical teams, FDEs, customers, and delivery partners to turn customer priorities into successful deployments. You’ll bring a clear view of delivery progress, risks, and expected outcomes, helping teams make informed decisions and connecting successful execution to consumption and growth. This is a senior, customer-facing role for someone who can move between executive conversations and practical details that determine whether a deployment succeeds. You bring technical fluency, sound judgment, and the ability to create clarity and drive action in complex, evolving environments. What You’ll Do - Own delivery of priority AI initiatives. Lead complex customer engagements from scoping and planning through deployment, launch, and initial adoption. - Build and drive an integrated delivery plan. Establish clear scope, milestones, accountable owners, dependencies, resource needs, and success measures across customer, OpenAI, and partner teams. - Resolve blockers and drive decisions. Identify risks early, work through dependencies and resource constraints, and bring the right stakeholders together to resolve tradeoffs and keep delivery moving. - Lead launch readiness and activation. Drive rollout and enablement planning, address technical and organizational readiness gaps, and remove barriers to initial adoption and usage. - Connect delivery to customer value. Define expected outcomes and measurement approaches with customers and account teams. Track adoption and consumption, assess results against agreed baselines, and communicate the value achieved. - Provide a clear view of delivery health. Lead customer and internal delivery reviews that drive decisions and action. Communicate progress, launch confidence, risks, and implications for expected consumption and revenue timing. - Improve how we deliver. Turn customer experience into repeatable playbooks, practical tools, and actionable feedback for product and delivery teams. What We’re Looking For - 7+ years of experience leading complex enterprise technology deployments, customer delivery programs, or transformation initiatives involving multiple teams and partners. - A track record of driving programs from scope through launch and adoption, with accountability for delivery commitments and measurable customer outcomes. - Strong technical aptitude, with the ability to understand AI systems, APIs, integrations, enterprise architecture, security dependencies, and deployment risks. - The ability to translate customer priorities into actionable delivery plans with clear milestones, owners, dependencies, and success measures. - Strong judgment under ambiguity, including the ability to identify material risks, navigate competing priorities, and drive timely decisions. - Experience building trust with customers and leading across teams outside your reporting line while holding stakeholders accountable to shared commitments. - Excellent communication skills, with the ability to engage executives, technical specialists, and customer operators and explain complex delivery issues clearly. - Commercial awareness and an understanding of how deployment, adoption, and consumption contribute to customer value and growth. - A practical approach to building repeatable delivery methods while adapting to the needs of individual About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

👤 HumanFull-timeSenior

By OpenAIOct 30, 2026

Head of Startups and Venture Capital, Sales

$360,000 – $400,000

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 We're looking for a Head of Startups & Venture Capital to build and lead Fireworks' startup ecosystem: the programs, partnerships, and relationships that make Fireworks the default AI platform for the next generation of AI Native companies. You'll own our relationships with top venture firms and accelerators, design our startup program, and turn the earliest-stage builders into the production-scale customers of tomorrow. Fireworks is trusted by AI Native companies like Cursor, Vercel, Harvey, and Genspark — many of which started building with us at seed or Series A. The next fast growth AI Native company is being founded right now, and the VCs backing it are deciding which platforms to recommend. This role makes sure Fireworks is the answer. It's a builder role for someone who knows the venture ecosystem from the inside, can earn the trust of partners and founders alike, and can translate that access into measurable pipeline, adoption, and revenue. What You’ll Do - Define and own Fireworks' startup and venture strategy, including target segments, programs, partner tiers, and goals for pipeline, activation, and revenue. - Build and scale the Fireworks Startup Program - technical programming, go-to-market benefits, and graduation paths from self-serve to committed contracts. - Build deep relationships with partners and platform teams at top-tier venture firms, accelerators, and incubators, making Fireworks their recommended platform for portfolio companies building with AI. - Run portfolio-wide partnerships: perks and credits agreements, office hours, technical workshops, founder dinners, and AI infrastructure briefings for VC portfolios. - Represent Fireworks across the startup ecosystem - demo days, accelerator cohorts, hackathons, panels, and founder communities. - Track program economics and impact - credit spend, activation, conversion to paid, and revenue influenced - and report to GTM leadership. - Bring signal from founders and investors back to product and leadership: which models, workloads, and features the next wave of companies needs. What we’re looking for - 5+ years in startup partnerships, venture capital, business development, or GTM roles at a cloud, developer, or AI infrastructure company. - An established network across top-tier venture firms, accelerators, and founders. - Proven track record of turning ecosystem relationships into measurable pipeline, product adoption, and revenue. - Experience designing and running startup programs (credits, perks, technical enablement) with clear economics and accountability. - Enough technical fluency to discuss open-source models, inference performance, fine-tuning, and cost trade-offs credibly with founders and CTOs. - Comfort operating in a high-growth environment where the playbook is still being written - you build the plan, then run it. - Strong cross-functional partnership skills across Sales, Marketing, Product, Developer Relations, and Finance. - Genuine enthusiasm for founders and the early-stage builders. Nice to Have - Experience running a startup or VC program at a hyperscaler, AI lab, or developer platform. - Prior experience as a VC investor, platform lead at a venture firm, or founder / early employee at a venture-backed startup. - Existing relationships with AI-focused funds, accelerators, and founder communities. - Background in a technical, product, or developer relations role. What Success Looks Like - Fireworks is the recommended AI inference and model platform across the portfolios of the top venture firms and accelerators. - The startup program has clear economics: credits convert to paid usage, and graduates grow into committed contracts. - A steady flow of high-potential startups reaches the AI Native sales team early, with measurable sourced and influenced pipeline. - The next breakout AI Native companies are building on Fireworks before they're household names. - Founder and investor feedback reliably reaches product and leadership and shapes what we build. - A high-performing startup and VC team is in place and scaling with the business. Location San Mateo, CA / San Francisco, CA 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.

👤 HumanFull-timeExpert / Staff+

By Fireworks AIOct 31, 2026

Lead, Pricing & Monetization Strategy

$170,000 – $240,000

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 operate at the bleeding edge of the inference market, building entirely new service categories and creating new business models at the forefront of the AI revolution. To bring these to life we need equally innovative monetization strategies that can scale with us as we grow. We are looking for a Pricing Strategy Director to lead pricing strategy and implementation. You will serve as an internal subject matter expert responsible for the evolution of our pricing models and pricing architecture, aligning price to value, and reducing complexity for our teams and customers. You will work closely with our engineering, product, and GTM teams to accomplish these goals. What You'll Work On - Develop and evolve our overall pricing and packaging architecture in partnership with Product, aligning price to the value customers get and simplifying how we sell and how customers buy. - Monitor competitor moves, model and hardware cost trends, and shifts in demand across the inference market, and build playbooks so we can respond quickly and consistently. - Build financial and scenario models (revenue, margin, adoption, and elasticity impact) that give leadership a clear basis for pricing and packaging decisions. - Work with Systems, Finance, and Operations teams to implement monetization strategies across billing, quoting, contracts, and internal tooling. - Partner with Sales, Solutions, Marketing, and other GTM teams on ongoing enablement, including pricing guidance, deal frameworks, discounting guardrails, and training, so the field can sell our pricing with confidence. - Serve as the internal subject matter expert on pricing, advising executives and cross-functional teams and creating a feedback loop from the market and the field back into our strategy. What we’re looking for: Minimum Qualifications - 10+ years of professional experience with at least 4 years in pricing, strategy & operations at a B2B software company, or strategy consulting - Highly analytical, with a deep experience building financial and scenario models and turning complex data into clear recommendations - Strategic thinker with strong commercial instincts and a history of linking pricing decisions to business outcomes - Experience with sales and go-to-market strategy, including partnering with field teams on enablement and deal support - Ability to work cross-functionally with Product, Engineering, Finance, Systems, and GTM teams and to influence senior stakeholders - Excellent written and verbal communication Preferred Qualifications - Hands-on experience designing usage-based, consumption, or hybrid pricing models for cloud, infrastructure, or developer platforms - Familiarity with AI/ML, inference, or cloud infrastructure economics, including compute costs, gross margin, and capacity considerations - Experience implementing pricing in billing, CPQ, and CRM systems, and partnering with Finance and Revenue Operations - Background in a high-growth startup or scale-up environment where pricing and packaging evolve quickly - Strong SQL and spreadsheet skills; comfortable working directly with usage and revenue data 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.

👤 HumanFull-timeSenior

By Fireworks AIOct 29, 2026

Frontier Agent Engineering Manager, Enterprise

Negotiable

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment - Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements - Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) - Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows - Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development - Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation - Architect multi-agent systems that orchestrate between different models, tools, and data sources - Implement evaluation frameworks to measure agent performance and iterate toward business objectives - Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement Prompt Engineering & Optimization - Create sophisticated prompt engineering strategies optimized for customer-specific domains and data - Build and maintain prompt libraries, templates, and best practices for customer use cases - Conduct systematic prompt experimentation and A/B testing to improve model outputs - Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate Leadership & Collaboration - Serve as the Engineering Manager and technical point of contact for strategic enterprise accounts - Lead a team that is collaborating with customer data scientists, ML engineers, and software developers to ensure smooth integration - Work closely with Scale's product and engineering teams to translate customer needs into product improvements - Document technical architectures, integration patterns, and best practices Problem Solving & Innovation - Debug complex technical issues across the entire stack, from data pipelines to model outputs - Rapidly prototype solutions to unblock customers and prove out new use cases - Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems - Identify opportunities for productization based on common customer patterns Required Qualifications - 5+ years of software engineering experience with 3+ yrs of Management experience with strong fundamentals in data structures, algorithms, and system design - Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API) - Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure - Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions - Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences Preferred Qualifications Agent Development Wiz - Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures - Experience building and deploying AI agents or autonomous systems in production - Knowledge of vector databases and semantic search systems - Contributions to open-source AI/ML projects Infrastructure Guru - Experience with containerization (Docker, Kubernetes) and CI/CD pipelines - Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools - Previous work in a devops, platform, or infra role - Familiarity with enterprise security, compliance, and governance requirements (SOC 2, GDPR, HIPAA) Customer Product Whisperer - Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role - Domain expertise in verticals like finance, healthcare, government, or manufacturing - Experience with technical enablement or teaching programs Sample Projects The following are some examples of the types of projects we’ve worked on with customers. All of these projects leverage customer data, integrate directly into customers’ existing systems, and are deployed on their infrastructure. Deep Research for Due Diligence For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Churn Prediction Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. Data Extraction Voice Agent We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco and New York is: $227,000 - $325,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

👤 HumanFull-timeSenior

By Scale AIOct 27, 2026

Founding Data Scientist, Capacity & Pricing Optimi...

$250,000 – $300,000

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: GPUs are the most expensive and supply-constrained input in AI. Our ability to effectively deploy them towards our customer demand is one of the critical inputs to our growth. We're hiring our first Data Scientist to build and own the quantitative models that drive pricing, packaging, and capacity allocation in order to optimize capacity and balance supply with demand. The ideal candidate brings expertise at the intersection of operations research and economics with the ability to both model our market, build dynamic pricing models, and design experiments and causal studies. This is a hands-on role: you'll write production-quality code, ship models that drive real decisions, and bring an true ownership mentality to help set priorities in addition to executing on them. What You'll Work On: Supply/Demand Modeling - Build fill-rate models for serverless inference, balancing utilization against performance and latency targets. - Model how traffic is shared and multiplexed across models and customers to set safe capacity buffers. Pricing Optimization - Design pricing for low-utilization capacity, including spot and preemptible offerings, off-peak and overnight windows, and sub-scale capacity pools. - Develop pricing policies to optimize our capacity utilization and price-yield. - Design execute experiments and causal studies to estimate elasticity across customer segments, models, and products. GPU Mix Optimization - Optimize the model-hardware matching across GPU generations, vendors, clouds, and regions, accounting for workload fit, substitution, and lead times. - Optimize our capacity across commitment types and terms, quantifying the tradeoff between cost, flexibility, and utilization risk to guide how we source capacity. What we’re looking for: Minimum Qualifications - Master’s degree in Operations Research, Economics, Industrial Engineering, Statistics, or a related quantitative field with 7+ years of hands-on experience in pricing, revenue management, or optimization. PhD preferred. - Strong grounding in at least two of: stochastic optimization, revenue management and pricing, causal inference and experimental design, or combinatorial optimization. - A track record of delivering production quality models that drive direct business impact. - Strong coding skills and experience with optimization tooling & methodologies. - Ability to communicate tradeoffs and uncertainty clearly to engineers and executives. Preferred Qualifications - Experience on capacity planning, forecasting, or pricing science teams at a cloud computing provider or marketplace business. - Familiarity with GPU infrastructure and LLM inference economics (throughput, batching, utilization, cost per token). - Experience as the first quantitative hire in a new function, building models and data pipelines from scratch. 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.

👤 HumanFull-timeSenior

By Fireworks AIOct 29, 2026

Senior Technical Recruiter

$172,000 – $295,000

About the Team OpenAI’s Recruiting team helps bring together the people who advance our mission of ensuring artificial general intelligence benefits all of humanity. We partner closely with leaders across the company to identify exceptional talent, build thoughtful hiring processes, and deliver an outstanding candidate experience. This role supports Applied Foundations, partnering with engineering leaders to hire the managers and senior leaders who will help build and scale OpenAI’s foundational engineering capabilities. About the Role We’re looking for an experienced technical recruiter with a strong track record of hiring engineering leaders. You’ll own leadership searches from initial role definition and talent mapping through assessment, offer negotiation, and close. You’ll serve as a trusted advisor to senior engineering leaders, helping clarify what each role requires, understand the talent market, and make thoughtful hiring decisions. You’ll bring the judgment to navigate ambiguous searches, the credibility to engage accomplished engineering leaders, and the persistence to build relationships well before someone is ready to make a move. Experience in executive search or an in-house leadership recruiting function is particularly valuable. You should be equally comfortable shaping a search strategy and personally doing the work to deliver a successful hire. In this role, you will: - Lead full-cycle searches for senior engineering leaders across Applied Foundations. - Partner with hiring leaders to define role scope, leadership expectations, technical requirements, and the outcomes a successful hire will deliver. - Develop talent maps and targeted search strategies, combining direct sourcing, referrals, market research, and long-term relationship building. - Engage passive leadership candidates through thoughtful outreach and substantive conversations about their experience, motivations, and potential impact at OpenAI. - Partner with hiring teams to assess leadership capabilities, including building teams, developing managers, setting technical direction, and leading through change. - Advise senior stakeholders using market intelligence and search evidence, including when to revisit requirements, broaden a talent pool, or adjust the hiring approach. - Own complex closing strategies, partnering with hiring leaders and compensation colleagues to navigate competing opportunities, equity considerations, counteroffers, and career decisions. - Maintain a rigorous operating rhythm across searches, communicating progress, surfacing risks early, and delivering a consistent, thoughtful candidate experience. - Strengthen leadership recruiting practices by sharing insights, improving assessment approaches, and helping teammates navigate challenging searches. You might thrive in this role if you: - Bring substantial technical recruiting experience, with a demonstrated track record of personally owning and closing engineering leadership searches. - Have experience in executive search, in-house leadership recruiting, or a comparable environment requiring targeted research, senior stakeholder partnership, and discretion. - Can evaluate leadership scope beyond titles and partner with hiring managers to distinguish technical expertise, people leadership, and organizational impact. - Build credibility with senior engineering leaders and offer clear recommendations, including constructive pushback when needed. - Have successfully managed complex offers and understand how compensation, role scope, organizational context, and personal motivations influence a leadership candidate’s decision. - Combine strategic judgment with strong sourcing and execution skills, taking ownership from search kickoff through close. - Learn unfamiliar technical domains quickly and adapt effectively as priorities or role requirements evolve. - Communicate clearly, handle sensitive information thoughtfully, and approach feedback with humility and a willingness to update your perspective. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

👤 HumanFull-timeRemoteSenior

By OpenAIOct 31, 2026

Staff+ Software Engineer, Platform Acceleration

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As of May 2026, Claude authored more than 80% of the code we merge . In September 2026, we merged more than 30,000 changes per day . Writing a change is fast now, and the hard part is knowing what is correct and safe to ship. Platform Acceleration builds the internal tools that close that gap for Anthropic's product engineers, who own the Claude API, our SDKs, and the rest of the Claude Platform. We work like a small product team whose customers are other Anthropic engineers. We're looking for Staff+ engineers with a strong background in backend or infrastructure who care about developer experience and have built tools other engineers rely on. We prefer candidates who can work from our San Francisco office, and we'll also consider candidates based in Seattle. What you'll do - Design, build, and operate the tools that help product teams ship faster - Own the technical strategy and roadmap for your area, and make sure its hardest problems get solved, by you or through others - Define what it means to trust a change, especially changes written by Claude, and build the tooling that holds the bar throughout the software development lifecycle - Build agents that take on repetitive engineering work, such as diagnosing failures, fixing broken tests, and running migrations - Embed with partner teams to find their biggest sources of friction, validate a solution with them, and turn the fix into a product other teams can adopt - Move between building new tools and improving the shared systems that teams already depend on, as priorities shift You might be a good fit if you: - Experience building and operating backend services or infrastructure in production, in Go, Python, Rust, or TypeScript - Deep experience with developer tooling, CI/CD, test infrastructure, or deployment systems - Experience leading large, complex technical projects across teams, from an ambiguous problem to a solution developers adopt - Clear written and verbal communication, with experience supporting internal partner teams - Interest in Anthropic's mission of building safe, beneficial AI Preferred qualifications: - Experience at a startup or on a similarly small team, taking a product from zero to one and talking directly to your users - Substantial experience with agents that do engineering or other technical work - Experience building widely adopted CLI tools, developer-facing services, GitHub automation, or open source developer tools - Experience measuring developer productivity and using the data to decide what to build - A point of view on how software engineering changes as agents write more of the code Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

👤 HumanFull-timeExpert / Staff+

By AnthropicOct 31, 2026

Staff + Sr. Software Engineer, Scaling

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Our Inference team is responsible for building and scaling the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. Key responsibilities - Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide - Develop resilient, flexible systems that adapt in real time to real world events - Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators and multiple cloud providers - Maximize compute efficiency and optimize cost across the fleet by autoscaling and orchestrating production, research, and experimental workloads across multiple cloud providers - Build and operate production-grade deployment pipelines for releasing new models to users - Provide high-performance inference infrastructure that enables researchers to develop next-generation models - Integrate new AI accelerator platforms and support inference for new model architectures Minimum qualifications - Significant software engineering experience, particularly with distributed systems - Results-oriented, with a bias towards flexibility and impact - Willingness to pick up slack, even if it goes outside your job description - Desire to learn more about machine learning systems and infrastructure - Thrive in environments where technical excellence directly drives both business results and research breakthroughs - Care about the societal impacts of your work Preferred qualifications - Experience with high-performance, large-scale distributed systems - Experience implementing and deploying machine learning systems at scale - Experience with load balancing, request routing, or traffic management systems - Familiarity with LLM inference optimization, batching, and caching strategies - Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure) - Proficiency in Python or Rust Representative projects - Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments - Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads - Building production-grade deployment pipelines for releasing new models to millions of users reliably - Contributing to new inference features - Supporting inference for new model architectures - Analyzing observability data to tune performance based on real-world production workloads - Managing multi-region deployments and geographic routing for global customers The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

👤 HumanFull-timeExpert / Staff+

By AnthropicOct 31, 2026

Analytics Engineer

$150,000 – $250,000

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We’re growing our Data team and are looking for our first few key hires to build self-serve data tools and drive business strategy in the right direction. The mission of the Modal Data team is to make it easy to track company goals, make evidence-backed decisions, and prioritize the right work. We do this via: - Self-serve AI analytics tools (Hex, Snowflake) - Embedding with teams as a “data adviser,” providing strategic analysis and consulting What You'll Work On: - Contribute to building the most modern analytics stack in data today to support AI-driven self-serve analysis, key metrics tracking, and external customer reporting - Influence work on new products like LLM Inference Endpoints through product analytics tracking - Identify millions of dollars of cost savings and optimization across our tools and financial operations - Write data pipelines that power the operations of our business, such as our cloud compute economics or sales comp - Create foundational datasets that can be used by people and AI tools to answer questions around product use cases, financial reporting, and marketing campaigns You May Be a Fit If: - You’re fluent in SQL and proficient in Python - You have professional experience with at least 2 of the following tools: Snowflake, dbt, dlt, Modal, Hex, PostHog - You extend your work beyond just data reporting and into action and impact - You have high attention to detail - You’re an excellent and precise communicator - You’re personable and great at building relationships Nice-to-Have: - Experience with AI products, especially LLM inference and sandboxes - Experience in fin ops, fraud, sales ops, or risk, especially in the context of AI (e.g. token cost optimization) - Project management skills - Strong presence in the data community online and offline

👤 HumanFull-timeMid

By ModalOct 31, 2026

Research Engineer, Inference Foundation

Negotiable

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role The Inference Foundation team owns the core of Mistral's inference stack: the inference engine and its orchestration, from the feature set and configuration that serve our models in production to the release machinery that keeps the stack current and production-grade. This is a hybrid position spanning production LLM serving, engine and platform development, and capacity engineering. You will work on three intertwined problems: - Optimize the inference stack at scale — feature development and fixes in the engine and orchestrator, squeezing more throughput and lower latency out of every GPU under strict quality-of-service targets. - Make capacity elastic — scaling up and down should be cheap and fast, not a performance cliff. - Power the training of our frontier models — high-performance serving that keeps RL and post-training loops running at full speed. What You Will Do Inference engine & orchestration - Develop and fix the core of the inference stack — engine and orchestrator — including feature selection, configuration, and tuning for maximum performance at scale - Own the release process for the serving stack: validated, regression-free releases through automated performance gates and progressive rollout - Drive improvements and fixes upstream when the open-source engine is the right place for them Performance & capacity at scale - Optimize serving efficiency across the fleet — driving down pod startup time, tackling cold-cache regressions on scale-up, smarter caching and offloading - Optimize and maintain the optimal serving topology — overlap communication and transfers with computation, ensure optimal placement, connectivity, and routing Serving for frontier training - Build the serving infrastructure that powers RL and post-training for our frontier models - Optimize inference performance across the full spectrum of our workloads What We're Looking For - Experience building and running ML/LLM services at scale, with clear latency and availability targets - Hands-on experience with inference engines such as vLLM, SGLang, TensorRT-LLM, or others - A solid grasp of inference internals: prefill vs. decode, KV-cache behavior, batching, scheduling, speculative decoding, parallelism strategies - Familiarity with distributed and disaggregated serving architectures - Comfortable debugging across the full stack — CUDA/NCCL, kernels, containers, networking, storage - Python for systems tooling and backend services; PyTorch - Kubernetes for running infrastructure at scale - GPU and networking fundamentals: CUDA runtime, NCCL, InfiniBand/RDMA It Would Be Great If You Have - Demonstrated vLLM/sglang know-how — upstream contributions, or a track record of running in demanding production environments - Hardware-aware optimization for various model architectures - Experience serving MoE models at scale (expert parallelism, expert placement/load balancing) - CUDA/Triton kernel development; Nsight Systems/Compute profiling - Rust and/or C++ in production systems What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

👤 HumanFull-timeMid

By Mistral AIOct 31, 2026

Detection & Response Engineer

$240,000 – $290,000

We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. About the role Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is hiring a Detection & Response Engineer to own how we find and stop attacks against our infrastructure, our research environment and our products. Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what you need to see to catch it. You'll join the Security team and build our detection and response program the way an engineer would: detections as code, response as automation, evidence as something you can query. This is a role with real ownership: you'll own the detection program end to end, from what we log to how quickly we close an incident. You'll report to the head of security, partner with engineers across platform and research, and shape how this function grows from here. What you'll do - Own detection and response end to end: what we log, what we alert on, how we triage and how we recover - Write and tune detections as code across multiple cloud environments, Kubernetes, identity systems, endpoints and SaaS, and measure them on coverage and precision rather than alert volume - Lead incident response from the first alert through containment and forensics, then write the post-incident review people actually read - Build automation that takes toil out of triage, including enrichment, correlation, containment actions and evidence collection, and use LLM-based tooling where it holds up under audit - Monitor AI agents and developer tooling operating inside our environment, and turn that into concrete telemetry and controls - Partner with platform and research engineers so new systems ship with logging and response playbooks in place on day one - Run threat hunts and tabletop exercises against the parts of the environment that worry you most, and fix what you find - Turn incident and detection metrics into evidence for SOC 2, ISO 27001 and enterprise customer security reviews, working with our GRC team - Participate in an on-call rotation for security incidents What you'll need - Hands-on incident response experience: you've triaged live alerts, led investigations and written up what happened afterward - Experience building and tuning detections in a modern SIEM, ideally managed as code - Working knowledge of how attackers move through cloud and Kubernetes environments (IAM abuse, container escape, credential theft, supply chain compromise) and what that leaves behind in logs - Comfort writing Python, Typescript, Rust or another language to automate response work and connect security tools - Familiarity with at least one major cloud platform and with Kubernetes at the level of audit logs, RBAC and workload identity - Clear writing. Incident timelines, detection documentation and updates to leadership are all part of the job - Judgment about what to alert on, what to automate and when to wake someone up Even better if you have - Experience monitoring GPU or HPC-style infrastructure, or research environments with large datasets - Experience building detections or guardrails for AI agents, LLM tooling or MCP servers - Cloud forensics experience: disk and memory acquisition, cloud audit trail reconstruction, chain of custody - Published open source detection content Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator - GWM-1 - Gen-4.5 - General World Models - Robotics SDK - Conversational Real-time Agents - Runway Studios We're excited to be recognized as a best place to work: Crain's | InHerSight | BuiltIn NYC | INC

👤 HumanFull-timeRemoteMid

By RunwayOct 31, 2026

Head of IT

$270,000 – $320,000

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. About the Role: We’re looking for a Head of IT to build and own the systems that enable everyone at Modal to work effectively and securely. You’ll own our employee technology environment end-to-end, including identity and access, devices, internal systems, SaaS applications, and day-to-day IT operations. You’ll work closely with Security and Engineering to build an environment that is secure by default, easy to operate, and scales with the company. This is initially a hands-on role. You’ll build systems, automate workflows, and solve problems directly. As Modal grows, you’ll define how the IT function should scale and eventually build a team around it. What You’ll Work On: Identity & Access - Own employee identity and access across internal systems and SaaS applications - Build scalable onboarding, offboarding, and access lifecycle workflows - Improve SSO, MFA, least privilege, and access management in partnership with Security Devices & Endpoints - Own the lifecycle and security of employee devices - Build and maintain device management, configuration, patching, and endpoint security - Automate provisioning and make onboarding as close to zero-touch as possible Internal Systems & Automation - Own and improve the SaaS applications and internal systems we depend on - Build integrations and automate workflows across identity, HR, finance, and other business systems - Evaluate and deploy new internal capabilities, including AI tools and integrations - Use APIs, scripting, and internal tooling to solve problems that don’t fit neatly into off-the-shelf products IT Operations - Own employee support, hardware, asset management, procurement, and relevant vendor relationships - Build reliable, maintainable processes rather than scale through manual work - Identify recurring problems and solve them at the system level Build the IT Function - Define the technical direction and operating model for IT at Modal - Establish the systems and processes we’ll need as the company grows - Determine when and where additional IT capacity is needed, and build the team over time You May Be a Fit If: - You’ve owned IT or corporate technology in a fast-growing technology company - You have a strong understanding of identity, device management, SaaS administration, and endpoint security - You have strong technical skills and are comfortable working with APIs, scripting, automation, and system integrations - You’ve designed and automated employee lifecycle and access-management workflows - You have good security judgment and experience working closely with Security and Engineering - You can independently identify problems, make pragmatic technical decisions, and drive them through implementation - You’re comfortable being hands-on today while building the systems and team needed as the company grows

👤 HumanFull-timeExpert / Staff+

By ModalOct 31, 2026

Research Engineer, Sandboxes

Negotiable

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As a Research Software Engineer on the Sandboxes team, you will design, build, and operate the platform that runs isolated environments for untrusted code at massive scale. Our work spans distributed systems, low-level virtualization, and product-minded platform design. Engineers on this team move between deep infrastructure work and understanding how researchers actually use the platform. This is a software engineering role, not an ML research role. You do not need prior ML experience; what matters is writing clean, reliable systems code that scales. You will join a small, senior team where the wrong hire is worse than no hire. What You Will Do - Design, build, and operate the sandboxing platform that runs untrusted code at scale across multiple Kubernetes clusters, from our own bare metal data centers to hyperscalers. - Develop the sandbox runtime leveraging Firecracker, enabling fast startup, snapshotting, and efficient scheduling without blocking expensive hardware. - Obsess over performance and latency optimisation allowing us to reach millions of concurrent sandboxes. - Write robust, well-tested systems code in Rust and Python; review code, CI/CD, and observability across the platform. - Own cross-cluster networking, security boundaries, isolation guarantees and monitoring for suspicious activity. - Collaborate with researchers and ML engineers who use sandboxes for synthetic data generation and RL training, turning their needs into platform features. What We're Looking For - A strong background in software engineering and distributed systems, with experience building and operating large-scale infrastructure. - Deep expertise in at least one of: Kubernetes and cluster operations, cross-cluster networking, observability, or low-level virtualization. - Fluency in Python or Rust; comfortable writing systems code where performance and security matter. - Strong software-design instincts: modular code, testing, CI/CD, observability, and a bias for reliability. - A self-starter who learns fast. Core skills matter more than specific tools — we value meta-learning ability and motivation highly. - Low-ego, collaborative, and comfortable with ambiguity in a small, high-ownership team. Nice-to-haves - Experience with Firecracker, microVMs, or similar virtualization technologies. - Product-mindedness: understanding of how sandboxes are used for synthetic data generation or RL training. - Experience with GPU clusters, CUDA, or ML workloads. - Prior SRE or platform engineering experience at scale. - Open-source contributions or widely used internal tools. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

👤 HumanFull-timeMid

By Mistral AIOct 31, 2026

Talent Partner, Technical

$180,000 – $220,000

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: Modal builds the infrastructure that lets engineers run AI workloads without the usual pain. To do this well, we need exceptional people – and that’s where you come in. As the first dedicated technical recruiter on our Talent team, you’ll own engineering and AI/ML searches end-to-end. You’ll work closely with our Head of Talent, founders, and technical leads to shape how we hire and help bring in the people who will define what Modal becomes. What you’ll do: - Run full-cycle recruiting for engineering and AI/ML roles (sourcing, pitching, guiding interviews, and closing candidates) - Partner with technical leaders to understand the real work and calibrate on what great looks like - Help set our technical hiring bar and how we evaluate talent - Execute creative top-of-funnel strategies that resonate with a strong community of talented, experienced engineers - Deliver a fast, respectful, honest candidate experience - Bring an equity lens to every stage of the process - Use data and market context to keep searches on track and expectations aligned - Support candidates as a trusted guide through high-stakes decisions Requirements: - You know technical recruiting inside and out and enjoy the challenge of deeply technical roles - You’re curious – you ask the right questions and love understanding how things actually work - You influence with insight and honesty, not by simply having the loudest voice in the room - You move quickly and communicate clearly, even when things get messy - You’re a strong closer who builds trust early and stays ahead of concerns - You’re steady when priorities shift and can recalibrate without losing momentum - You care about people and want them to have a thoughtful, fair, and human experience throughout the process

👤 HumanFull-timeMid

By ModalOct 31, 2026

Member of Technical Staff - Machines

$250,000 – $300,000

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you’ll be working on Modal’s machines layer: the fleet of bare-metal and cloud hosts that every Function, Sandbox, and training job runs on, and the control plane that provisions, images, monitors, and repairs them. You’ll automate the integration of new capacity from a growing set of hardware providers, from auditing and benchmarking hosts and clusters to maintaining our machine images, configuring GPUs, RDMA, networking, and storage, and getting machines into production. You’ll build the automation that keeps the fleet healthy without human intervention: detecting bad GPUs, thermals, and disks. You’ll dig into whatever is between the hardware and the software that runs on top of it, whether that is a kernel panic, a broadcast storm during boot, or getting our container runtime to run on new architectures and platforms. What You'll Work On: - Automate remediation of unhealthy machines (power cycling, reimaging, GPU recovery) to maximize uptime and minimize operator toil - Automate integration of new CPU, GPU, and storage servers into the fleet while managing hardware and network heterogeneity - Monitor network health and reliability across many datacenters, and standardize bare-metal network configuration - Automate hardware acceptance testing and benchmarking (CPU, disk, GPU, interconnect, network) - Build our custom network bootloader, machine image pipeline, and kernel and firmware management across the fleet You May Be a Fit If: - You have 5+ years of experience writing high-quality production code - You’ve operated fleets of physical hardware (bare-metal provisioning, BMC/IPMI, PXE or network boot, firmware) or built the control planes that manage them (the more challenges you’ve worked through, the better) - You have strong cloud skills - You have strong knowledge of low-level operating system foundations (Linux kernel, drivers, networking, file systems, containers, etc.) - You’re effective at debugging across layers, from BGP flapping, Linux RPS, and vBIOS bugs to a Python control-plane service - You’re willing to step into the thick of it with our on-call rotation and respond to production incidents Nice-to-Haves: - Experience with GPUs and the NVIDIA software stack in production (drivers, health monitoring, XIDs, RDMA/NVLink) - Prior experience with Go

👤 HumanFull-timeExpert / Staff+

By ModalOct 31, 2026

Staff/Senior Staff Software Engineer, Agent Infras...

$240,000 – $360,000

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About the role. We’re building the next generation of agentic AI infrastructure at Cohere. This team sits at the intersection of ML systems, distributed infrastructure, and developer experience, creating the platform that powers autonomous AI agents at scale. You’ll work on hard, forward-looking problems with few established patterns, including secure code execution, agent state management, model routing, identity and authentication, and resource management for long-running agent workflows. This role is a strong fit for someone who combines systems depth with ML intuition. You should be comfortable building reliable infrastructure, thinking through distributed systems tradeoffs, and understanding how emerging agentic capabilities shape platform design. What you’ll work on. - Secure execution environments for agent-generated code - Identity, authentication, and trust boundaries for agents - Model routing and orchestration across different model types and environments - Rate limiting, quotas, and resource management for agent workflows - State management, memory, and filesystem abstractions for agents. In this role you will: - Turn emerging ML research ideas into production-ready infrastructure - Build core platform capabilities for execution, storage, and state management - Prototype and evaluate new technologies, then help decide what should move into production - Partner with research teams to shape infrastructure based on what future agent systems will need You may be a good fit if you have: - Experience building production ML infrastructure with strong systems fundamentals - Hands-on work with agentic systems, multi-agent workflows, or agent development frameworks - Familiarity with model routing and LLM provider frameworks across different model types and environments - Experience with scalable, fault-tolerant distributed systems and Kubernetes - A track record of moving quickly on prototypes and making good decisions about productionization. Bonus - Experience across on-prem, private cloud, and public cloud environments - Familiarity with storage systems, embedded databases, or filesystem abstractions - Experience with code execution sandboxes such as gVisor, Firecracker, Kata, or WASM runtimes - Interest in emerging ML infrastructure, edge inference, or browser-native models - Open-source contributions to LLM or agent infrastructure projects - Experience with identity, workload auth, or capability-based security systems. Full-Time Employees at Cohere enjoy these Perks: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form , and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.

👤 HumanFull-timeExpert / Staff+

By CohereOct 31, 2026

Staff Software Engineer, Finance Engineering

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every dollar Anthropic earns and every dollar it spends on compute has to reach the books correctly, and the volume grows with Claude usage. That data comes from across the company and from partners: usage and billing, compute, infrastructure assets, leases. Products and pricing models keep launching, and each one adds another path into the books. Our goal is a continuous close with zero material issues, with audit-grade controls. You’ll build the platform that gets us there: one front door for every finance event, an append-only ledger, and an accounting engine that posts each event exactly once. This is a distributed systems problem with an unusually high correctness bar. The system has to be right to the cent, replay cleanly and explain any number as of any date, at that volume. You will shape its architecture. Its users include Claude agents, which read and write through the same APIs and controls as people. You’ll work closely with SWEs in Billing, Compute and Infra on shared contracts and APIs, and with product owners, finance operations and internal audit to turn accounting and controls requirements into designs. You don’t need a finance background. If you have built backend systems where correctness matters, we will teach you the domain. Responsibilities - Design and build the front door into finance and its governed contracts: APIs for apps and agents, an event bus for systems that publish, adapters for vendor apps and reports, data-quality gates, and processing that posts every event exactly once, with replay and backfill - Drive the build of the accounting ledger and engine: an append-only ledger with idempotent posting, a rules framework that turns business events into journal entries, translation into the ERP, and period locks - Design and build the SDKs and frameworks that finance apps and agents build on - Build controls into the platform as code: immutable audit trail, maker-checker, scoped access and segregation of duties - Build and run the production services that other engineering teams call in real time, such as the tax and collections services in the billing flow, and own their reliability: uptime, latency, throughput and correctness targets agreed with those teams - Shape the platform’s technical direction: architecture, engineering standards and design reviews Minimum qualifications - Strong backend engineering in a statically typed language such as Go, Java or Rust, or Python at scale - Experience designing and running high-volume, event-driven systems (publish/subscribe, streaming) with idempotent processing, replay and backfill - Experience designing relational data models and writing SQL for complex, versioned data - Experience designing APIs, SDKs and service-to-service integrations used by other teams - Experience building systems with auditability, access control or compliance requirements - Experience turning requirements from non-engineering partners into technical designs - Strong written and verbal communication, including design docs Preferred qualifications - 10+ years of experience - Experience building developer platforms or paved paths - Experience with streaming systems such as Pub/Sub or Kafka - Experience building with LLMs and agents, including MCP - Built a ledger, sub-ledger, billing or payments system - Familiarity with accounting concepts: double-entry, journal entries - Familiarity with internal controls and audit concepts: audit trails, segregation of duties, change management - Exposure to ERP or financial systems, such as Workday Financials The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

👤 HumanFull-timeExpert / Staff+

By AnthropicOct 31, 2026

Staff + Software Security Engineer, Labs

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Frontier AI is on track to be among the most consequential and most adversarially-targeted technology in the world. The capability curve is steep, the adversaries who want these systems are extremely well-resourced, and the security bar this will eventually require is well beyond where the industry operates today. Incremental hardening alone is not going to close that gap, so we need breakthroughs and a group of people to go find them. Security Labs is that team. We run a portfolio of high-risk, high-expected-value security projects: the work that seems impractical until someone optimistic and stubborn enough actually tries it. Projects run on the order of weeks rather than quarters, and each one is either handed off to the Anthropic team that will own it in production or wound down with a writeup of what we learned. We expect a meaningful fraction of our bets not to land. This team is intentionally scrappy and ambitious. We're intentionally iterating fast on high-risk research bets and we expect a meaningful fraction not to land. If a 30% project success rate sounds uncomfortable, or uncharted and chaotic territory isn’t both frightening and exciting, this probably isn't the right fit. There are other places in Anthropic Security doing important work with more structure, less risk, and more certain paths to positive outcomes. The questions we're trying to answer include: - Can our core research workflows survive extreme isolation? - Can we replace trust with cryptographic guarantees? - Can the models themselves become our most effective security control? - What would it actually take to defend against a tier-1 state adversary, and how much of that can we build now? Who we're looking for. We're hiring generalists with rare depth. You're a strong software engineer as a baseline, and on top of that you've gone deep in at least one area most engineers don't get near: firmware or hardware security, applied cryptography, OS / kernel / hypervisor internals, formal methods, reverse engineering, or high-assurance and cross-domain systems. You've built things under your own direction, you're comfortable jumping layers when the problem demands it, and you'd rather take a swing at something that might not work than ship the safe incremental thing. You think the trajectory of AI matters a great deal, you're not comfortable with how the security side of it is going by default, and you'd rather be on the inside building the answer than watching from outside. Current Project Areas The portfolio changes as we learn. The kinds of bets currently in flight or queued: - Standing up a prototype high-assurance research cluster: running real Anthropic training and research workloads under extreme isolation and physical security controls, and finding out exactly where productivity breaks and what we'd need to invent to get it back - Provable inference: cryptographic verification (zero-knowledge proofs, attestation chains) that a given output came from a specific model running specific code, replacing "trust us" with math - Build hypervisor-isolated microVM workload isolation across the fleet - Compiling an ML kernel through a formally verified pipeline where every lowering step carries a machine-checked proof of equivalence, making compilation-layer sabotage mathematically detectable - Regenerating clusters: automation that spins up a purpose-built cell, runs a workload, and tears the whole thing down on a TTL measured in hours, so attacker persistence has an expiry date - Using Claude itself to drive security work end to end: threat modeling new compute platforms, rewriting critical services to zero external dependencies, running the test equipment that validates what hardware datasheets claim Part of your job is deciding what comes next. We hire people we trust to pick good bets, and project selection is owned by the engineers doing the work. Key responsibilities - Own Security Labs projects end to end. You'll scope the bet, build the prototype, run it against real workloads, and bring it to either a hand-off or a documented exit - Stand up novel security infrastructure fast (isolated clusters, attestation chains, hypervisor and runtime work, verification tooling) optimizing for what we learn rather than for permanence - Find the receiving team early, bring them along while you build, and hand them something they actually want to own - Work embedded with research and infrastructure teams (Pretraining, RL, Inference, Compute) to test whether their workflows survive what you're proposing, and document precisely where they don't - Turn experimental results into short writeups that shape Anthropic's long-term security architecture, and into costed contingency plans we could execute on short notice - Help pick the next round of bets and influence the industry to get better along the way Minimum qualifications - Genuinely care about where AI is heading and want to work on the security problems that determine whether it goes well. This is the most important thing on this list - Have real depth in at least one area most software engineers don't touch (e.g. firmware or hardware security, applied cryptography, OS / kernel / hypervisor internals, formal methods and verification, reverse engineering and exploit development, or high-assurance / cross-domain systems) - Have built and shipped things under your own direction. Maybe you founded a company or research group, maintained an open-source project other people depend on, or shipped research that changed how people in your field work. We weight this far more than where you've worked or for how long - Have a track record of choosing the problem yourself and seeing it through, rather than only executing a plan someone else handed you - Are comfortable jumping between domains and layers of the stack when the problem calls for it, and have actually done so - Have run prototypes or experiments where the goal was answering a hard question rather than shipping a permanent system, including ones that didn't pan out - Write clearly enough to turn weeks of work into a couple of pages someone can act on - Change your mind when the evidence says to, and are fine being the least-expert person in a room full of specialists - Care about defense. Plenty of folks here come from offense and that background is valuable, but what you actually want to spend your time on now is making systems hold up - Are a strong programmer (Python plus at least one of Rust, Go, or C/C++) and can stand up real infrastructure without that being the interesting part of your week Preferred qualifications - Experience inside airgapped or high-side environments (classified networks, cross-domain solutions, ICS/SCADA, financial trading infrastructure) and the operational realities of working in them - A background in offensive security, red teaming, or vulnerability research, with calibrated intuitions for which threats actually matter - Familiarity with ML infrastructure (training pipelines, distributed schedulers, inference serving, accelerator hardware) sufficient for grounded conversations with researchers about what their workloads actually need - A history of working in environments built around rapid iteration rather than rigid change control: startups, applied research groups, independent consulting, small security shops The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

👤 HumanFull-timeExpert / Staff+

By AnthropicOct 31, 2026

Field Marketing Manager

$150,000 – $200,000

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We’re hiring a Field Marketing Manager in San Francisco to build and run the programs that turn Modal’s target accounts into active customers. You’ll work closely with our Sales team to plan regional campaigns, run events for the engineers and technical leaders we sell to, and report on how those programs contribute to pipeline and revenue. This is a hands-on role for someone who has run account-based field programs at a technical company and wants to help shape the function as it grows. What You’ll Work On: - Act as a strategic partner to Sales, aligning field programs with sales priorities and helping AEs create and accelerate pipeline in their territories - Develop and execute account-based programs for named accounts, working with Sales to identify key stakeholders and the right mix of touchpoints for each - Decide which industry conferences and sponsorships are worth investing in, and own what we bring, who we send, and whether we go back next year - Plan and host high-touch 1:1 and 1:few events for prospects and customers, such as executive dinners, roundtables, and technical workshops, in partnership with AEs - Own pre-event and post-event execution, including targeted invitations, meeting booking, and timely follow-up with Sales - Build co-marketing programs with VCs, accelerators, and ecosystem partners to reach their portfolio companies and customers - Track and report on program performance, including meetings booked, account engagement, and sourced and influenced pipeline, and use the results to plan future investment - Own the VIP experience at Modal’s flagship events, including our annual conference, Runtime - Build repeatable processes and playbooks as the team grows You May Be a Fit If: - You have a track record of running field programs at a technical company and can point to specific ones and clear outcomes - You’ve worked directly with AEs and you’re happy sharing a number with them - You have good judgment about where to spend: a lot of sponsorships look better than they perform, and you can tell which is which - You’re organized and self-directed, and comfortable running many events, partners, and vendors at once - You’ve produced events across a range of formats, from small executive dinners to large conference sponsorships and brand events - You have strong attention to detail and a high bar for taste and the quality of every event and touchpoint - You’re comfortable with data and reporting, including CRM, attribution, and pipeline analysis - You’re familiar with ABM, intent data, and marketing automation tools - You’ve built AI into marketing workflows, such as account research, audience development, event operations, and reporting Nice-to-Have: - Experience at an AI, developer tools, or cloud infrastructure company - Experience marketing to technical audiences such as engineers, ML teams, and technical executives - Experience bridging product-led and sales-assisted growth - Existing relationships with Bay Area VCs, accelerators, or AI communities

👤 HumanFull-timeMid

By ModalOct 31, 2026

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