Search AI Jobs
16,537 published AI roles — filter by keyword, skill, seniority or contract type.
16,537 results
Updated
Product Manager, Compute Platform
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 a Product Manager focused on Compute Platform, you’ll partner with Infrastructure, Compute Operations, Engineering, Finance & Strategy, and Research to build the scheduling, orchestration, and capacity management systems that power Anthropic’s compute infrastructure—the foundation on which every model training run, evaluation, and inference workload depends: - Partner with Infrastructure to build the systems that determine how jobs are scheduled, prioritized, and allocated across Anthropic’s growing fleet of GPU and accelerator clusters—ensuring the right workloads run on the right hardware at the right time. - Your work directly impacts cluster utilization, cost efficiency, and researcher velocity: defining the semantic layer for job scheduling, establishing resource guarantees, and making the trade-offs that keep our infrastructure running at peak capacity. - You’ll drive the evolution of our compute platform to support increasingly diverse workloads—from large-scale training runs and fine-tuning jobs to real-time inference and batch evaluation—each with distinct scheduling requirements, priority levels, and resource profiles. - You will define and own the strategy and roadmap across job scheduling primitives, capacity allocation policies, preemption and fairness frameworks, quota management, and the observability tooling that gives engineering and leadership confidence in how compute resources are being used. Responsibilities: - Deeply understand the needs of internal customers across Research, Infrastructure, Product, and Finance—from researchers who need guaranteed resources for multi-week training runs to platform teams managing inference workloads with strict latency SLAs. - Define and iterate on the semantic layer for job scheduling: the abstractions, priority tiers, resource classes, and preemption policies that govern how work flows through our compute clusters. - Partnering with engineering leads to design scheduling capabilities that maximize cluster utilization while honoring resource guarantees—ensuring jobs have the right prerequisites (data, checkpoints, hardware affinity) validated before launch to avoid wasted compute. - Drive product strategy and roadmap for compute capacity management, including quota systems, fairness policies, bin-packing optimizations, and gang-scheduling for distributed workloads. - Own the trade-off framework between utilization efficiency, job latency, cost, and reliability—making transparent prioritization decisions and communicating them clearly to senior leadership. - Collaborate with the Capacity Strategy & Operations team on capacity planning models, demand forecasting, and cost-to-serve analytics that inform infrastructure investment decisions. - Build and champion observability tools and dashboards that provide real-time visibility into cluster health, queue depth, scheduling efficiency, and resource waste. You may be a good fit if you have: - 7+ years of product management experience, with deep exposure to compute infrastructure, distributed systems, or scheduling/orchestration platforms - Experience taking technical infrastructure products
Staff Infrastructure Software Engineer, Enterprise...
Scale GP is building the infrastructure that makes enterprise AI seamless. We are looking for a Senior or Staff Infrastructure Engineer to act as a primary technical lead, engineering the 'paved road' for our knowledge retrieval and inference engines. You won't just be managing resources; you’ll be defining the deployment standards for Agentic workflows at scale. Your mission is to bridge the gap between complex AI orchestration and world-class infrastructure, ensuring our platform remains the most reliable destination for enterprise agents The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail. What You’ll Do: - Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers. - Use our own data and AI platform to analyze build and test logs and metrics to identify areas for improvement. - Define the architectural patterns for our multi-cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers. - Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection. - Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs. - Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale. - Lead the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies. - Own the development and maintenance of our best-in-class Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response. - Drive developer efficiency by building automated tooling and championing Infrastructure-as-Code (IaC) paradigms throughout the engineering organization to improve workflows and operational efficiency. What We're Looking For: - Proven experience in a senior role, with 5+ years of full-time software engineering experience. - Deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes) and observability platforms (e.g., Datadog, Prometheus, Grafana). - Extensive experience with at least one major cloud provider (AWS, Azure, or GCP). - Strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer-specific VPC setups. - Proficiency in Python or JavaScript/TypeScript, and SQL. - Bonus points: Hands-on experience and a passion for working with Agents, LLMs, vector databases, and other emerging AI technologies. Compensation packages at
HR Manager
Scale is growing and so is our People Team! We’re looking for an HR Manager in Mexico who is passionate about building thoughtful, streamlined, employee lifecycle processes that support the employee experience. You will be the sole HR presence in Mexico, supporting two distinct populations: field-based technicians and operators at our Physical AI site, and corporate office employees based in Mexico City. You will be responsible for developing policies and partnering cross-functionally to drive process and system improvements that will better the employee experience, increase the efficiency of the HR team, and keep us compliant. This role is critical to ensuring a safe, compliant, and positive work environment for employees in the field and data factory. You will also play a critical role in creating a highly employee - centric team as Scale continues to grow exponentially. What you’ll be doing: - Manage the full employee lifecycle across field and corporate employees: onboarding, offboarding, performance management, salary changes, leave of absences, and permissions in compliance with Mexico’s Federal Labor Law - Provide guidance to managers and employees on workplace issues, performance, policy interpretation, and disciplinary procedures where applicable - Manage Workers’ Compensation claims from incident reporting through return-to-work coordination, partnering closely with local payroll representatives, legal teams, and insurance providers to ensure compliance and effective case management. - Collaborate with managers to reinforce robot safety and safe equipment operation practices; includes tracking safety, compliance, and related certifications. - Maintains compliance with Mexico employment law, including but not limited to manager/employee training, workplace operations, classifications, wage laws, and benefits. - Provide HR leadership across benefits, compliance, and people programs while fostering strong cross-functional partnerships with Operations, Finance, IT, Legal, Compliance, and other stakeholders to drive efficiencies and simplify workflows. - Understand the operational boundaries of the on-site Employer of Record (EOR) arrangement – know what belongs to the EOR and where your lane ends, and how to work in collaboration with the EOR - May manage vendor relationships, including facilities temp agencies, maintenance, and security - Roll up your sleeves and dive into the high volume of daily operational HR needs and ad hoc projects for the Mexico team What we’re looking for: - 5-7 years of HR Generalist or HR Manager experience, with experience supporting both hourly/field and professional/office workforces. - Exceptionally collaborative and able to advise employees at all levels of the organization - Strong verbal and written English communication skills - Highly detail-oriented, stellar organizational skills and able to prioritize effectively - Knowledge of Mexico employment laws and regulatory requirements - Knowledge of Mexico benefits and payroll processes - Strong critical thinking skills and ability to think outside of the box and propose meaningful solutions - Able to identify gaps and drive operational improvements - Excellent judgment and discretion, maintaining confidentiality at all times - Flexible mindset and able to navigate ambiguity with ease - Action-oriented and able to work independently with minimal supervision Nice
Product & Growth Marketer, AI Simulation
ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY SandboxAQ's AI Simulation (AISim) division develops and applies Large Quantitative Models (LQMs) grounded in physics, chemistry, mathematics, and biology to simulate molecular behavior with scientific precision and accelerate discovery across biopharma, chemicals, advanced materials, and more. The Marketing team embedded within AISim is building the commercial engine to bring these capabilities to market — translating frontier science into clear, compelling stories that drive pipeline and customer engagement. The AISim Marketing team is looking for a Product & Growth Marketer to join our team. This role is central to our efforts to fill a critical gap in product marketing and demand generation, from launch planning and outbound campaigns to case studies, thought leadership, and sales enablement. This is a hands-on role for a builder who can move fluidly between positioning and execution, helping shape messaging, create campaign assets, support product launches, and connect SandboxAQ's AI Simulation offerings to the needs of technical and commercial buyers. This person will: - Own end-to-end product marketing and demand generation execution for the AISim business unit, with minimal oversight - Build the positioning, assets, and programs that establish SandboxAQ as a credible and compelling player in the AI simulation market - Partner closely with product, science, and commercial teams to translate complex technical capabilities into buyer-facing value - Grow into a key commercial function as the AISim business scales KEY RESPONSIBILITIES - Develop and refine product positioning and messaging by persona for AI Simulation offerings, translating technical capabilities into buyer-facing value and maintaining consistency across all go-to-market channels - Create campaign and content assets across the funnel (including outbound emails, webinar copy, launch materials, one-pagers, sales sheets, blog content, and website messaging) to drive awareness and pipeline - Lead product and feature launch planning, including narrative development, proof points, and cross-functional coordination with product, growth, and business development teams - Write and maintain sales enablement materials such as collateral, talking points, battlecards, and objection-handling resources that equip the commercial team to engage buyers effectively - Drive demand generation efforts through outbound email programs, webinars, and nurture content, while contributing to customer proof through case studies, white papers, and thought leadership assets ESSENTIAL SKILLS & EXPERIENCE - 4–8 years of experience across product marketing, growth marketing, demand generation, or content marketing in a B2B technology company - Strong writing skills across multiple formats including outbound email, webinar copy, sales collateral, and product launch content - Demonstrated ability to translate technical or scientific concepts into clear, compelling messaging for externa
Senior Staff+ Software Engineer, Node Infra
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 Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Node Infra owns the full lifecycle of accelerator capacity at Anthropic. We ingest and provision compute from all major CSPs and our own datacenters, stand up and scale clusters from thousands to hundreds of thousands of hosts, and build the health, diagnostics and repair automation that keep every GPU, TPU and Trainium node in the fleet usable and ready to power Anthropic’s frontier AI research. Key responsibilities - Own the technical strategy and roadmap for node lifecycle management - ingestion, bring-up, health checking, and automated repair - Drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerator families - Design and operate the systems that detect, isolate, and remediate unhealthy hardware automatically, driving up fleet MTBI and minimizing stranded capacity - Define infrastructure architecture, ensuring the hardest problems get solved - whether by you directly or by working through others - Work closely with cloud providers and internal research/inference/product teams to shape long-term compute, data, and infrastructure strategy - Establish and evolve operational excellence practices (incident response, postmortem culture, on-call) - Support the growth of engineers around you through technical mentorship and coaching Minimum qualifications - Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) - Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. - Hands-on experience with machine learning accelerators (GPUs, TPUs, or Trainium) - Track record of leading complex, multi-quarter technical initiatives that span multiple teams or systems - Ability to build alignment across senior stakeholders and communicate effectively at all levels Preferred qualifications - 12+ years of software engineering experience, including time as a technical lead setting direction for a team - Experience managing large scale compute infrastructure at hyperscale (10K+ nodes), including capacity management and efficiency - Depth in one or more of: Kubernetes internals (scheduler, autoscaler, kubelet, Karpenter), cluster orchestration systems (Mesos, Borg-like), or node provisioning pipelines - Low-level systems experience: kernel, virtualization, device drivers, firmware, or hardware health/diagnostics daemons - Familiarity with high-performance networking (EFA, RDMA, InfiniBand) for distributed ML workloads. - Demonstrated ownership of production reliability for high-throughp
Account Associate - Singapore (ANZ Market)
About the Team OpenAI’s Enterprise Go-To-Market organization helps the world’s largest companies adopt and scale our AI platform across their business, from ChatGPT Enterprise to our developer and APIs. We partner with organizations across Financial Services, Life Sciences, and Retail to build new AI-powered customer experiences, transform operations, and reimagine how work gets done in highly regulated and technically complex environments. As adoption accelerates through pilots, experimentation, and develop-led use cases, the GTM team turns that momentum into durable, enterprise-wide deployments. About the Role This role is designed as a launchpad for future sellers at OpenAI. This is a highly strategic role with significant exposure to enterprise sales, product, and customer strategy. You’ll develop core skills in discovery, stakeholder mapping, deal shaping, and executive communication while building a deep understanding of how leading companies adopt AI. We are looking for individuals with 4-6+ years of professional experience who are motivated to grow into world-class enterprise sellers over time. While many individuals in this role go on to become Account Directors or take on broader GTM roles, progression is based on performance and business needs rather than a fixed timeline. For the right person, this is one of the most accelerated paths to break into sales at OpenAI and build a long-term career in AI go-to-market. In this role, you will identify, shape, and advance complex enterprise opportunities by turning product usage, pilots, and inbound demand into qualified, high-conviction enterprise opportunities for our large Enterprise and Strategic Accounts teams. In this role, you will: - Partner with Account Directors on account strategy, multi-threading, and deal progression - Design and execute targeted outbound strategies using industry context, stakeholder mapping, and product signal to break into priority accounts - Lead high-quality discovery to uncover business priorities, map stakeholders, and assess enterprise readiness - Contribute to pipeline reviews by sharing outbound activity, account insights, and early competitive signals - Build and iterate on AI-enabled GTM workflows (GPTs/Agents) to scale prospecting and qualification You may thrive in this role if you: - Have 4+ years of relevant experience in enterprise sales, or in strategic customer-facing roles in the finance or consulting industry - Have a track record of consistently hitting and exceeding ambitious targets in enterprise or strategic sales environments - Experience selling into regulated or complex industries (Financial Services, Life Sciences, Retail) - Strong communication skills and executive presence; be able to build credibility with senior C-Suite stakeholders across an organization, and speak fluently with technical buyers - Strong interest in the AI landscape with the ability to connect OpenAI products to real customer value and business outcomes - You enjoy evangelizing new technology and helping the market understand what’s possible - You’re comfortable with ambiguity, moving quickly, and operating well with a high degree of ownership. 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.
Staff Software Engineer, Data Platform
Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: - Drive the architecture, design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. - Collaborate with cross-functional teams to define, design, and deliver new features. - Proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades. - Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies. - Provide technical leadership, including: upholding and upleveling engineering standards across the organization, mentoring junior engineers. Ideally you’d have: - 8+ years of full-time engineering experience, post-graduation with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems. - Extensive experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.). - Show a track record of mentoring and leading teams in successful projects. - Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders. - Experience working fluently with standard containerization & deployment technologies like Kubernetes and various public cloud offerings. - Extensive experience in software development and a deep understanding of distributed systems, cloud platforms and data systems. - Experience driving cross functional collaboration and communication at an organizational or broader level. Nice to haves: - Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI). - Experience with performance tuning and cost optimizations of cloud based data platforms. - Experience defining a data lifecycle strategy and designing/imp
Controller
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE: As the Financial Controller, you'll lead our accounting and financial reporting functions end-to-end. You'll be the person who makes sure our books are clean, our close process runs on time, and our leadership team has the numbers they need to make good decisions. This role reports to the Head of Finance and works closely with our Finance, Legal, People and Operations teams. This is an in-office role based in our San Francisco or New York office. WHAT YOU’LL DO: - Lead the monthly, quarterly, and annual close process — on time and with accuracy - Lead our first audit and manage relationships with auditors and tax advisors - Oversee accounts payable, accounts receivable, payroll, and equity administration - Build and maintain internal controls and ensure compliance with relevant regulations - Partner with Finance on budgeting, forecasting, and variance analysis - Drive improvements to our financial systems and processes as we scale WHAT YOU’LL BRING: - 10+ years of progressive accounting and finance experience, with at least 2 years in a Controller role - CPA required - Deep knowledge of GAAP and financial reporting standards - Experience in high-growth SaaS or technology companies — you understand what "scaling" actually means for a finance function - Strong working knowledge of accounting systems - Track record of building or improving close processes and internal controls - Comfortable working across functions and communicating financial concepts to non-finance stakeholders - Bonus: experience supporting a Series B–D company through an audit or preparing for one - You’ve worked in fast-moving teams where scope and priorities evolve - You have start-up DNA: You thrive in fast-paced, ambiguous environments etc. - You exemplify our operating principles https://www.langchain.com/careers. - You are motivated to build something great: you hold a high bar for quality, craft, and impact - You embrace hot takes: you share informed opinions, challenge the status quo, and engage in constructive debate - You operate with maximum agency: you take ownership, move work forward independently, and help others unblock - You run to the roar: you lean into hard problems, ambiguity, and fast-moving challenges COMPENSATION: Annual salary range: $200,000-225,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefi
Staff AI & Agentic Systems Engineer
To learn the Hiring Ranges for this position, please select your location from the Apply Now dropdown menu. To learn more about our Hiring Range System, please click this link. Why Mozilla? Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people. The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms. About This Team and Role: Mozilla is building a new browser infrastructure platform for the new generation of web automation. We are looking for an experienced Staff Engineer to join our early-stage team at Mozilla to lead the architectural design and implementation of our next-generation AI agent frameworks and workflows. This is a "ground-up" role within a fast-moving, nimble team, making it a perfect fit for someone with early-stage startup experience who thrives on a blank slate. You will be the technical anchor for our AI engineering efforts, establishing the patterns for how we build, evaluate, and scale autonomous capabilities. This role sits within Mozilla’s New Products organization, which operates as an internal incubator for high-potential ventures. You will join a fast-paced autonomous team building a new product from its earliest stages. What You’ll Do: - Architect Agentic Systems from Zero: Design and deploy production-grade multi-agent frameworks, complex orchestration layers, and custom AI developer tooling. - Balance Speed and Scale: Navigate the tension between rapid prototyping and long-term sustainability, knowing exactly when to cut corners to validate a concept and when to slow down to lay rock-solid architectural foundations. - Orchestrate LLM Workflows: Navigate and integrate various commercial and open-source large language models, selecting and optimizing the right models for specific agentic behaviors. <li style="font-we
Regional Manager, Ads Solutions (APAC)
About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. In support of that mission, the Ads Solutions team partners closely with advertisers, agencies, and strategic partners to help businesses unlock value through AI-powered advertising solutions while maintaining strong standards for user trust, platform integrity, and responsible innovation. As OpenAI’s advertising business continues to scale globally, the APAC Ads Solutions team plays a critical role in driving revenue growth, building strategic advertiser relationships, and shaping the future of advertising products across some of the world's most dynamic markets. About the Role We are seeking a Regional Manager, Ads Solutions (APAC) to lead and scale OpenAI’s advertising business across Asia-Pacific. Based in Singapore, you will oversee a distributed team of Client Partners and Customer Success Managers supporting advertisers across the region. Our ads products are currently live in Australia and New Zealand with launches in Japan and South Korea scheduled for June. Expansion into other APAC markets will continue on an ongoing basis and this leader will play a key role in shaping that strategy and execution. This is a highly strategic leadership role responsible for driving regional revenue growth, building and developing high-performing teams, and establishing OpenAI as a trusted partner to advertisers throughout APAC. You will own regional commercial performance while partnering closely with Product, Engineering, Marketing, Operations, and Policy teams to ensure customer feedback influences product development and market strategy. The ideal candidate combines strong people leadership, commercial acumen, operational rigor, and a passion for building businesses in fast-moving environments. You are equally comfortable coaching teams, engaging with senior executives, navigating complex market dynamics, and helping shape the long-term strategy for OpenAI’s Ads business. This role is based in our Singapore office . We use a hybrid work model of 3 days in the office per week and offer relocation assistance to eligible candidates. In this role you will: - Lead, coach, and develop a team of Client Partners and Customer Success Managers across APAC, fostering a high-performance and customer-centric culture. - Own regional revenue goals and business performance across multiple markets, ensuring consistent execution against growth targets. - Develop and execute the APAC commercial strategy, identifying opportunities to accelerate advertiser adoption, retention, and expansion. - Partner with sales and customer success leaders to optimize customer engagement throughout the entire advertiser lifecycle. - Build and maintain executive-level relationships with key advertisers, agencies, and strategic partners across the region. - Drive forecasting, pipeline management, territory planning, and business reviews to ensure operational excellence and predictable growth. - Serve as the voice of the APAC market, bringing advertiser insights and customer feedback to Product, Engineering, and leadership teams. - Collaborate cross-functionally to support product launches, market expansion initiatives, and strategic customer opportunities. - Establish scalable processes, playbooks, and best practices that enable growth across diverse markets and customer segments. - Recruit, onboard, and retain top talent while building leadership bench strength across the organization. You might thrive in this role if: - Have 12+ years of experience in digital advertising, media, technology, or related commercial leadership roles. - Have 5+ years of experience leading high-performing sales, account management, customer success, or revenue teams. - Have a proven track record of exceeding revenue targets and scaling businesses across multiple international markets. - Have experience managing distributed teams across APAC and understand the nuances of operating across diverse cultures and business environments. - Are an exceptional people leader who enjoys coaching, developing, and inspiring teams to achieve ambitious goals. - Can build strong relationships with C-suite executives, agency leaders, and senior decision-makers. - Have strong strategic thinking skills while maintaining a bias toward execution and operational excellence. - Are highly data-driven and comfortable using analytics to inform business decisions, prioritize investments, and drive accountability. - Thrive in ambiguous, fast-changing environments and enjoy building new businesses, processes, and teams from the ground up. - Are passionate about AI and excited by the opportunity to shape how advertisers adopt transformative technologies responsibly at scale. 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.
Senior Frontier Agents Engineer (Forward Deployed...
About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media, telecommunications, and government to build production AI agents that automate complex workflows, reason over enterprise knowledge, and operate safely at scale.
Staff+ Software Engineer, GRC Platform
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 We're seeking an experienced software engineer to build the platform behind governance, risk, and compliance (GRC) at Anthropic. Compliance information lives across dozens of systems, from cloud infrastructure and identity providers to HR platforms and code repositories. You'll build the pipelines, integrations, and services that bring that data together and turn it into automated checks, real-time dashboards, and evidence for real time decision making, compliance obligations, and to support expanding the markets we can serve. You will be an early member of the team, collaborating with stakeholders across Security, IT, Engineering, Privacy Engineering, Legal, Finance, and more to turn manual compliance processes into scalable, reliable systems. You will lead your own projects end to end, and you will put Claude to work as an extension of the team through agentic workflows for evidence collection, analysis, and continuous monitoring. If you've built internal platforms, data pipelines, or privacy systems, you'll feel right at home, and you don't need a compliance background to get started. Key responsibilities - Design and build data pipelines that aggregate risk, control, and asset information from across Anthropic's technology stack, solving hard integration problems like disparate schemas, inconsistent data quality, and unified views of posture - Build and maintain integrations connecting our platform to cloud infrastructure, identity management, HRIS, ticketing, version control, and CI/CD systems to enable automated evidence collection and continuous validation - Translate written policies and regulatory requirements into policy-as-code, turning static documents and spreadsheets into enforceable rules, automated checks, and continuous monitoring - Design and deploy agentic workflows where Claude handles work that previously required manual effort, such as analyzing evidence, generating audit responses, and monitoring control effectiveness - Develop dashboards and reporting that provide real-time visibility into risk and compliance posture for audiences ranging from engineers to executives and external auditors - Make architectural decisions that shape how the platform grows, establishing patterns and tooling that other engineers will build on - Partner with Security, IT, Infrastructure, and product engineering teams to make controls and evidence collection native to how Anthropic builds and ships - Operate what you build, owning reliability and data integrity for systems that audits and executive reporting depend on Minimum qualifications - Have 8+ years of experience building backend systems, data pipelines, or internal platforms that other teams depend on, ideally operating at tech lead level - Are a systems thinker who understands how data flows between systems, where the integration points are, and what breaks when systems don't talk to each other - Have depth in either integration engineering (REST APIs, webhooks, authentication flows, event-driven architectures) or data infrastructure (warehousing, ELT/
Senior ML Engineer
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ENGINEERING - GAMES What We Do Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of engineering experts. We’re always improving on the tools and technology that empower content developers worldwide. What You'll Do You will work with our team of engineers at the intersection of vision, language and machine learning to create state-of-the-art models for agentic vision tools. You will be responsible for the design, implementation and deployment of production-ready computer vision models that support game developers in our ecosystem (including scene generation and trained bots/agents), as well as agents for automated content verification (e.g. gameplay behavior). In this role, you will - Create and deliver production-ready, scalable and high-quality deep-learning models and associated algorithms for computer vision problems - Critically assess the effectiveness of such models and make recommendations for the ongoing roadmap - Methodically understand and assess the effectiveness of new data channels and support collection/creation of new ones What we're looking for - PhD in Computer Science, Mathematics or related field, 5+ years of relevant industry experience - Proven track record creating innovative solutions for problems in Computer Vision and deploying them as production-level systems in industrial environments - Expert, hands-on knowledge of: - Deep learning techniques for supervised, semi-supervised and unsupervised learning - Reinforcement learning, imitation learning, and related frameworks - Python and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch) - Experience with working collaboratively with other developers, following a flexible/agile/lean approach - Desirable: - Experience with architecting, scaling, securing and operating ML systems in the cloud (ideally AWS) at medium to large scale - Experience with 3D Vision/Graphics EPIC JOB + EPIC BENEFITS = EPIC LIFE We pay 100% for benefits except for PMI (for dependents). Our current benefits package includes pension, private medical insurance, health care cash plan, dental insurance, disability and life insurance, critical illness, cycle to work scheme, flu shots, health checks, and meals. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. ABOUT US Epic Games is a leading interactive entertainment c
Senior/Principal Platform Engineer, ML Platform
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. ML Platform powers hundreds of use cases and billions of inferences per day across Discovery, Safety, Economy, and Creation. We build the primitives that let teams train, evaluate, deploy, and operate models quickly and safely—so a new ML idea can reach production in weeks or less. We’re looking for a Principal Platform Engineer who treats platform as a product : someone who can turn complex ML/AI infrastructure into clear, durable APIs and easy-to-use CLIs/UIs that our internal developers love. This role blends product thinking, developer experience, backend engineering, and infrastructure at scale. Hands‑on ML experience is a plus; a track record of building internal platforms that developers love is a must. You Will: - Own platform as a product and set direction end to end: Define requirements, write RFDs, and ship APIs, SDKs, CLIs, and UIs that make ML@Roblox easy to adopt. - Bootstrap and maintain core ML Platform components: Serving Layer, Model Registry, Pipeline Orchestrator, and Training/Inference control planes. - Set technical strategy and oversee development of high scale and reliable infrastructure systems, with clear SLOs for latency, availability, and cost. - Design great developer experiences with paved‑road templates, golden paths, opinionated defaults, and clear docs to reduce time‑to‑first‑production. - Instrument the platform to measure adoption, friction, reliability, and cost; use data to prioritize roadmap and validate outcomes. - Partner across organizations (ML Engineering, Data Science, Infra/SRE, Security, Finance) to optimize performance, safety, and spend, especially for GPU‑intensive training and high‑QPS inference. - Propose and implement new platform tooling to improve time to production for MLEs across the full ML lifecycle. - Stay abreast of industry trends in machine learning and infrastructure to ensure the adoption of leading‑edge technologies and practices. - Mentor junior and senior engineers, lead design reviews, and drive cross‑team architectural decisions that last. You Have: - 5+ years of professional experience and have a wealth of system design experience upon which to draw to build a scalable, reliable ML platform for all of Roblox. - Proficiency in API design and developer experience—gRPC/REST APIs, SDKs, CLIs, and simple UIs that developers love to use. - Experience with the end‑to‑end ML model lifecycle such as model serving, training, mod
Staff Technical Product Manager
Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and more. Our mission is to develop reliable AI systems for the world’s most important decisions. Scale’s Global Public Sector (GPS) team is growing quickly and joining it is an opportunity to work on one of the most exciting and quickly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work with governments and government-backed entities. This is a defense role. We’re looking for a Staff Technical Product Manager to own critical product areas within Scale’s Global Defense business, serving allied defense and national security customers. You’ll be a critical builder, shaping and developing Scale’s global defense products, while being the primary technical expert to our global customers. The ideal candidate brings together a strong engineering or ML background, entrepreneurial drive, the eagerness to be a hands-on builder, and the ability to get in front of senior technical and government stakeholders to drive mission-critical outcomes. You Will: - Own the product roadmap and execution for one or more product areas within Global Defense, driving what gets built and how it ships - Be hands-on: write specs, prototype solutions, dig into technical architecture with engineers, and make product calls grounded in real technical understanding - Design and ship AI-powered products and tooling for defense and national security workflows, working side-by-side with engineering and ML teams - Use customer context to inform what you build — understand allied defense workflows deeply enough to make opinionated product decisions, not just relay requirements - Navigate the unique constraints of defense product development across allied nations — classification environments, accreditation processes, air-gapped deployments — or be ready to learn these fast - Operate like a founding team member: wear multiple hats, move fast, unblock yourself, and drive outcomes across engineering, operations, and go-to-market Ideally, You’d Have - Builder mentality: you’re energized by going from zero to one, not by managing from a distance - 8+ years of experience in software engineering, ML engineering, or a deeply technical product role where you were hands-on with what shipped - Technical fluency: software engineering or ML background (master’s degree in computer science or equivalent experience). Experience training or evaluating models is a plus - Deep intellectual curiosity about AI systems — you read papers, dig into technical details, and have strong opinions about how things should be built - Enough customer instinct to know what matters, but your default mode is building, not selling - Bias for action and comfort wearing multiple hats in fast-moving environments - Willingness to travel to allied partner nations as needed 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 provi
Compensation Business Partner, GTM
About the Team OpenAI's Compensation team plays a crucial role in rewarding and retaining world-class talent who will ensure that artificial general intelligence benefits all of humanity. By crafting and implementing innovative compensation strategies, we ensure our compensation offerings are competitive, equitable, and aligned with OpenAI's mission to scale intelligently and ethically. About the Role We are expanding our Compensation team and seeking a Compensation Business Partner to help build the compensation pillar for our go-to-market organization. This is a hands-on individual-contributor role for someone who brings deep GTM compensation expertise and enjoys turning evolving business needs into practical, scalable programs. As a member of the total rewards team, you will partner closely with GTM leaders, HR Business Partners, Recruiting, Finance, and other cross-functional teams. You will spearhead compensation work across benchmarking, offer review, program design, and job architecture, with particular focus on the needs of a rapidly growing commercial organization. The shape of the work will evolve as the business grows. At times, you may independently lead key initiatives from strategy through execution. At other times, you will work alongside additional compensation partners and cross-functional resources. Success in this role requires comfort operating with ambiguity, strong judgment, and a willingness to stay close to the details while building for scale. This is an individual contributor role, designed for a subject-matter expert and hands-on builder. In this role, you will: - Build and evolve compensation programs that support OpenAI’s growing GTM organization. - Serve as a trusted compensation advisor to GTM leaders, HR Business Partners, Recruiting, and Finance. - Lead compensation analysis and approval for offers, balancing market context, internal consistency, and OpenAI’s compensation philosophy. - Own benchmarking and market analysis for GTM roles, translating insights into clear recommendations and scalable practices. - Partner on the design and optimization of sales compensation programs, job architecture, and related compensation frameworks. - Develop approaches that can flex with changing business priorities, organizational growth, and new talent needs. - Move fluidly between strategic design and hands-on execution, including building processes and operating mechanisms where they do not yet exist. - Collaborate with the broader Compensation team to share insights and strengthen company-wide programs. You might thrive in this role if you have: - 6+ years of compensation experience, including meaningful depth supporting GTM or commercial organizations. - Strong expertise in sales compensation, GTM benchmarking, and compensation program design. - Experience building or materially evolving compensation programs in a fast-growing, dynamic organization. - A builder mindset: you are energized by ambiguity and comfortable creating structure as the business evolves. - Strong analytical judgment and the ability to translate complex data into practical recommendations. - Excellent communication skills and the ability to build trust with senior stakeholders and cross-functional partners. - The ability to work independently while collaborating closely with a broader team. - Experience with job architecture is strongly preferred. Location and Workplace This role is based in our New York or San Francisco office and we aren’t considering remote applications at this time. We use a hybrid work model of 3 days in the office with optional work from home on Thursdays and Fridays. We also offer relocation assistance to new employees. Our open-plan offices have height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, outdoor space for working and socializing, wellness rooms, private bike storage, and more. 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.
Staff+ Software Engineer, Public Sector
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 Anthropic is bringing Claude to the U.S. government and allied democracies, and we’re looking for startup-minded engineers to grow our public sector engineering team. This is a small team with large surface area. You’ll work across the stack to take products from 0 to 1 and beyond. We are looking for product- and civic-minded engineers with a track record of building and scaling great products. The opportunities outpace our ability to build them all, so the right candidate thrives on sharp judgment, prioritization, and focus. You’ll own work like: - Building Claude products that can be used by customers in highly regulated environments - Deploying Claude into government networks - Understanding and improving Claude’s usefulness in common government workflows – for example, policy research, benefits administration, intelligence analysis - Scaling and innovating Claude for Government, our existing product serving U.S. government customers today Our team is filling a number of roles and is open to candidates with either full-stack or backend experience. Key responsibilities - Architect and ship deployments that meet public sector compliance and security requirements, from FedRAMP to classified networks - Build AI applications tailored to government workflows by developing deep understanding of how agencies actually operate - Partner with research and safeguards teams to evaluate and improve Claude for government use cases - Work directly with government customers and internal go-to-market teams to turn requirements into technical and product roadmaps - Design scalable systems for deployment, user management, and administrative controls across constrained environments - Create clarity and technical direction in a fast-moving environment with unique constraints Minimum qualifications - Experience building AI products and a working intuition for their capabilities and limitations - A strong technical track record building and shipping enterprise- or government-grade products - Excellent cross-functional collaboration skills — you’ll partner with sales, legal, research, and policy teams alike Preferred qualifications - Have 8+ years of experience as a full stack or backend software engineer - Startup experience, particularly in scaling products from zero to one - Experience partnering with sales, customer success, and professional services teams to drive product adoption - Experience deploying software on government networks - Active federal security clearance (Secret or above) This position requires verification of U.S. citizenship due to citizenship-based legal restrictions. Specifically, this position supports a United States federal, state, and/or local government agency customer and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizens
Model Risk Management Lead, Machine Learning
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. About Enterprise Risk & Internal Audit The Enterprise Risk & Internal Audit department protects Affirm’s operations and long-term success. We identify, assess, and monitor risk across the business. Our work includes internal audits, regulatory assurance, fraud prevention, and crisis planning. The team maintains strong controls, tracks key risk indicators, and ensures readiness for external reviews. We uphold accountability, transparency, and resilience to support responsible growth. About the Team We’re looking for an intelligent, driven professional to join our Model Risk Management (MRM) team. This team seeks to establish, maintain and oversee an effective MRM framework to identify, quantify, monitor, mitigate and report on model risk throughout the company. You will have an outstanding opportunity to work cross-functionally to develop a profound understanding of models that drive critical business decisions, and add value to the company by mitigating risks due to ineffective model design or model misuse. What You’ll Do - Perform independent challenges of machine learning models used for credit underwriting, credit risk, and/or fraud detection through thorough validation and ongoing monitoring - Identify model weaknesses and opportunities for improvement - Collaborate with model owners to remediate model validation findings - Partner cross-functionally to implement and maintain the company’s MRM framework - Partner with Internal Audit, Internal Controls, and Compliance to ensure timely resolution of audit and regulatory requests What We Look For - 4-6 years of professional experience in related technical areas such as model development, model validation, data science - Deep and broad knowledge and experience in machine learning modeling, credit underwriting, credit risk management, and/or fraud detection and fraud risk management - Proven ability to work with script languages(e.g., Python) and large-scale dataset (e.g., SQL) - Extensive experience with machine learning platforms and frameworks (e.g., scikit-learn, pyspark) and cloud-based coding environments and databases - BS, MS, or PhD in a quantitative field such as Math, Data Science, Computer Science - Oriented toward detail, curious about data/models/algorithms, skilled at critical thinking and problem solving - Extraordinary interpersonal and verbal/written communication skills Pay Grade - M Equity Grade - 8 Employees new to Affirm typically come in at the start of the pay range . Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for
Senior Staff Machine Learning Engineer, ML Underst...
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . We’re looking for a Senior Staff Machine Learning Engineer to lead Reddit’s next-generation user understanding initiative: building a unified, high-fidelity representation of each user that powers personalization across the platform. This role requires deep expertise in mainstream ML user modeling approaches (e.g., large-scale embeddings, user interest modeling, affinities, behavioral signals) and the ability to reimagine these systems in the GenAI era—leveraging LLMs and foundation models to unlock step-change improvements in fidelity, adaptability, and expressiveness. You will set the technical direction for this space, leading the design and implementation of Reddit’s core user representation layer—spanning embeddings, interest modeling, and key user attributes. You’ll ensure this foundation is scalable, reliable, and widely adopted across Feeds, Search, Notifications, and Ads, partnering closely with product, infrastructure, and downstream ML teams to drive measurable impact. This is a high-impact role. The systems you build will shape how hundreds of millions of people experience Reddit every day—what they see, what they discover, and the communities they connect with. Your work will directly advance personalization and relevance at global scale, strengthening Reddit as a platform for meaningful connection and belonging. What you'll do: - Design User Understanding Strategy: Define a unified user understanding framework and strategy: how users are represented (embeddings, tags, attributes, LLM-based user profile), how they are computed, stored, and exposed. Provide thought leadership in user understanding and user modeling by setting a long-term technical vision and advancing the state-of-the-art in the field. - Build Foundational User Models: Lead design and implementation of advanced user models, e.g. large-scale user representation learning (sequence-based, multi-interest, multi-task) that share representations across surfaces to improve personalization experience across key Reddit products e.g. Feeds, Notification, Search and Ads, balancing latency, cost, and performance. - Reimagine user understanding with LLM/Gen-AI: Evolve user modeling beyond traditional representations by leveraging LLMs to build richer user understanding (e.g., dynamic user profiles, intent inference, semantic reasoning over user behavior). Explore how LLMs can augment or unify embeddings, attributes, and taxonomies to enable more adaptive, interpretable, and context-aware personalization. - Ship Large Scale User Understanding as a System: Partner with platform teams to design and build core components for large-scale l
Member of Technical Staff (AI Software Engineer, A...
Perplexity is seeking energetic engineers to join our highly driven Agents engineering team. The Agents team consists of backend, full-stack, and AI/ML engineers who collaborate to build delightful agentic experiences within our Comet ecosystem https://www.perplexity.ai/comet and Perplexity Computer https://www.perplexity.ai/computer, our platform for generalized frontier intelligence. Our vision is to empower our users with AI agents that can faithfully actualize their intent, however and wherever expressed, through open-ended interactions with the world. As an engineer on our Agents team, you will bring AI expertise, sharp product intuition, and a tinkerer's mindset to advance the frontier of what agents can accomplish for our millions of devoted users. You will work across applied research and engineering to solve many open problems in AI, including: - Designing AI agents to navigate the digital world and perform increasingly valuable units of work for our users; - Training action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives; - Providing consistently excellent experiences across desktop, mobile, headless cloud, and other environments through flexible abstractions and frictionless backgrounding; - Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities; - Designing optimal data representations and modes of interaction between agents and their environments; - and much, much more. RESPONSIBILITIES - Drive cutting-edge AI capabilities across multiple layers of a rapidly growing product in the AI agents space. - Develop and leverage cutting-edge AI models, infrastructure, and browser technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase. - Ensure a high craft and quality bar, in both AI agent performance and user experience. - Collaborate with fellow engineers, designers, product managers, data scientists, and others across the company to integrate core Perplexity functionality into our frontier agentic products and vice-versa. - Contribute to product reliability, code quality, AI evaluation, testing, and maintenance across the broader team. QUALIFICATIONS - Strong foundational familiarity with the full AI product stack. - Proficiency in Python (bonus points for TypeScript, Go, and/or Rust). - Significant experience in at least one of the following areas: - Context engineering and tool interfaces for frontier AI models - Post-training and reinforcement learning (particularly for multimodal models) - Browser technologies (CDP, Playwright, extension development, etc.) - Strong product intuition and taste for user experience excellence. - Comfortable working with a small, fast-moving team, must be willing to dive in and take ownership. - A passion for shipping products that surprise and delight.
Senior Software Engineer, Agent Oversight
About Scale Scale’s mission is to develop reliable AI systems for the world’s most important decisions. As the leading AI data foundry, we provide the high-quality data and full-stack technologies that power the world’s most advanced models — fueling breakthroughs in generative AI, defense, and autonomous vehicles. We partner with leading enterprises and governments to bring AI into production that performs when it matters most, combining rigorous evaluation with full-stack deployment so our customers can build AI they can trust. About the Team Applied Intelligence Systems team is part of the Scale Generative AI Platform (SGP), focused on pushing the frontier of what agentic applications can do across diverse enterprise and government use cases. We build the infrastructure and tooling that power Agentic AI in production, paired with applied ML research, design, and evaluation to ensure these systems perform reliably at the scale our customers demand. We’re growing fast, with increasing traction across both commercial and public sector customers, and we’re just getting started — this team will define what dependable, production-grade agentic AI looks like. About the Role As a Software Engineer on Agent Oversight, you will build the platform infrastructure that lets our production agents be observed, evaluated, and improved at scale. This includes building observability tooling, evaluation harnesses, and the pipelines that connect them to improvement loops. Whether building foundational infrastructure or partnering closely with ML engineers on production workflows, you will own your systems end-to-end while maintaining rigorous technical standards. You will: - Design and build core platform capabilities for deploying, monitoring, and evaluating agentic applications in production - Build reliable APIs and data pipelines that capture agent telemetry, evaluation signals, and performance metrics at scale - Work alongside ML engineers where platform work intersects with evaluation or improvement systems — bringing enough ML fluency to reason about model behavior, evaluation quality, and improvement loops while owning the software systems that make those workflows reliable - Own the reliability, scalability, and observability of platform components serving multiple concurrent enterprise and government customers - Work cross-functionally with product, forward deployed engineering, and customers to translate real-world deployment requirements into platform features - Build features end-to-end: system design, implementation, debugging, and testing - Participate in high-velocity experimentation to validate platform capabilities against real customer usage Requirements: - 4+ years of professional software engineering experience, with strong fundamentals in backend/distributed systems, APIs, and data pipeline design - Hands-on experience building production software for ML/LLM-powered products or platforms, such as evaluation systems, observability/monitoring, experimentation infrastructure, agent runtimes, model-serving-adjacent services, or telemetry/data pipelines - Working knowledge of how LLM or ML systems behave in production: evaluation signals, failure modes, prompt/tool-calling workflows, experiment results, data quality issues, and the tradeoffs between offline evals and live customer behavior - Experience partnering closely with ML engineers or applied researchers to turn prototypes, eval loops, or model-improvement workflows into reliable platform capabilities, without needing to own model training, modeling strategy, or research direction<
Strategic Projects Lead - Coding
Scale’s Generative AI business unit is currently seeing historic levels of growth. As a Strategic Projects Lead (SPL), you will lead initiatives that will drive $XXM+ in new revenue for the business. This is a demanding role, and as an SPL, you should be prepared to wear many hats across all dimensions of Operations. The ideal SPL should have a strong entrepreneurial mindset, be comfortable getting into the weeds, and be excited about intense, impactful work that leads to accelerated career progression. You will: - Serve as the full owner of our most visible and high impact customer pipelines, making decisions that directly impact data quality, operational efficiency, revenue, and margins - Understand customer requirements and design data taxonomy best suited to improving model performance based on customer needs - Build out pipeline infrastructure to ensure quality and efficiency - Train, coach, and manage dynamic and global teams - Build analytics to make data-driven decisions - Partner with diverse stakeholders (Engineering + Product + Ops + Go-to-Market) to work on problems that will drive advancements for the largest LLMs in the world - Give regular progress updates to Scale’s executive team You Will Have: - A strong technical background is required for this position. For example, a degree in Machine Learning Engineering, Computer Science, or Software Engineering. The role requires the ability to do data analytics using SQL, Python, and a high proficiency in understanding Software Engineering processes - 3+ years of experience leading a team/projects, managing operational processes, or 3+ years of experience as a SWE - Strong problem-solving capabilities in technical environments - ability to come up with creative solutions to complex, ambiguous, operational, and technical problems - Entrepreneurial experience and mindset - you are excited about building things from scratch and can identify issues and execute quickly 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, New York, Seattle is: $182,400 <
Head of Field Marketing and Events, Gen AI
At Scale, we believe that AI will dramatically improve the world, and our mission is to accelerate the development of AI. We’re looking for a Field Marketing and Events leader to continue to build and manage Scale’s robust Gen AI and Research field marketing and events program, including but not limited to Scale hosted executive events, Scale hosted practitioner events and meetups, research conferences, and our annual flagship conference, AI Leadership Summit. You will join a rapidly growing team with the opportunity to manage and execute events from start to finish, drive lead generation and pipeline growth, and plan event programming with the largest names in AI. The successful candidate will have a solid understanding of technology, model builder, and research markets, strong project management skills, a strategic mindset, ability to manage and grow a team, and a passion for AI & technology. You will: - Own annual planning for all Gen AI and Research events including strategy and budget - Establish event activities in line with sales goals and deal acceleration, prioritizing goals from the go-to-market leadership and business development teams on event location and audience - Manage team of field marketing and events managers who will execute on planning and logistics. This role should have a player-coach mentality and ability to also execute on nuts to bolts planning for all executive dinners, meetups, happy hours, sponsored trade shows, and hosted conferences - Manage contractor relationships including event production firms and outside vendors, and event budgets - Align with growth marketing on marketing campaigns and marketing qualified lead (MQL) reporting - Track event campaign performance, measuring ROI, results, and metrics through Salesforce and own any course correction for events that are not performing - Own all aspects of Scale hosted conference, Scale AI Base Camp, including venue selection, vendor management, logistics, speaker and attendee invites, and agenda - Support the Gen AI and research portion of Scale’s annual AI Leadership Summit conference including content, speaker logistics, agenda, and overall in-person and remote event experience - Interface with external executives and their teams in order to secure speakers and support their presentation planning for Scale hosted events and conferences - Willingness to travel up to 50% in order to execute on in-person events Ideally you'd have: - 12+ years experience in field and event marketing - Experience fully managing and executing events ranging from 30 to 5000+ attendees - Ability to manage and multi-task on multiple projects and events while liaising across internal teams with multiple stakeholders - Impeccable attention to detail and proactive approach to troubleshooting - Excellent written and verbal communication skills - you will be interfacing with the world’s leading executives, government officials, and their teams - Experience with marketing and sales CRMs including Hubspot, Salesforce, and Outreach programs - Collaborative and positive attitude, with the ability to work across teams and timezones including with executive leadership and external executives Compensation packages at Scale for eligible roles inclu
Account Manager Lead - North America - Enterprise
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 $11B - 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 company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the Role As the Enterprise Account Manager Lead, you'll lead a team of experienced Account Managers across one of our largest customer segments. You'll balance people leadership, strategic direction, and hands-on customer impact - driving excellence in post-sales outcomes and ensuring your team consistently delivers measurable value to customers and the business. This is a revenue-critical role at an inflection point: ElevenLabs is scaling fast, and the decisions you make around how we segment, structure, and execute our Enterprise post-sales motion will define how we grow. You'll also lead your team through a genuine transformation in how work gets done - one where AI agents, automation, and intelligent tooling reshape every workflow, and where making ElevenAgents the agent of choice for our customers is a core part of the expansion playbook. You will: - Lead, coach, and develop a high-performing Enterprise Account Management team, owning team quota performance, customer retention, and expansion goals. - Act as a player-coach: directly manage priority accounts, join key customer conversations, and model best-in-class success practices. - Drive revenue outcomes as a core mandate - building a team culture where cross-sells and account growth are owned with the same rigor as any quota-carrying sales function. - Lead by example in complex post-sales and rene
Senior Machine Learning Engineer, Reliability
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Why Reliability? Roblox serves over 100 million people every day across a platform that is constantly evolving — and behind every experience is infrastructure that has to work, every time, at massive scale. The Reliability team at Roblox operates at the depth and breadth of the Roblox stack. Availability of the platform is a key company goal. We are hiring our first Senior Machine Learning engineer within our team. As a Senior Machine Learning Engineer within Reliability, you will help set the direction for how machine learning systems/practices can be leveraged to improve the reliability of the overall Roblox platform. You will own the architectural and execution roadmap of leveraging massive data across - logs, traces, metrics, production changes, to proactively detect issues before they become real problems (MTTD) and/or reduce time to resolve incidents (MTTR). You will have the opportunity to cross functionally collaborate with other similar teams at Roblox to define best practices and software. You will: - Help define the roadmap for leveraging Machine Learning Engineering to improve Production Systems Reliability at Roblox. - Improve realtime anomaly detection capabilities by leveraging various state of the art ML techniques, thereby directly contributing to improving Mean Time to Detect Production issues. - Develop methods to build pipelines to consume various streams of data (metrics, logs, traces, change management systems etc.). - Build a reasoning layer that interacts with the streams of data to find possible root causes of problems happening in production. - Build time-series models to predict capacity exhaustion and seasonal traffic spikes to drive automated scaling You have: - Beyond off the shelf: We are looking for an expert who has knowledge of various modeling techniques, ability to to go deep and fine tune models to fit our use cases. - Ability to propose and architect the infrastructure that allows us to implement systems that learn from user and/or automated feedback. - Good distributed systems fundamentals and understanding of large scale high throughput systems You are: - Comfortable with Ambiguity: You thrive in undefined or open-ended problem spaces, providing structure, clarity, and decisive direction to your teams. - A Pragmatic Builder: You are scrappy and impact-oriented. You vie
Staff Machine Learning Engineer, Ads Content Under...
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Ads Content Understanding (ACU) is Reddit’s core commercial content understanding team for Ads. The team owns and produces signals that describe what Reddit content is about, how brand safe and suitable it is, and what users are trying to accomplish in commercial conversations. ACU is responsible for: - The Knowledge Graph (entities, brands, products, and relationships across Reddit and external sources). - Content taxonomies such as IAB, Shopify Standard Product Taxonomy, IAS, and other commercial taxonomies used for targeting, safety, and marketplace dynamics. - Opinion mining for ads use cases: sentiment, stance, commercial intent, and other qualitative attributes of conversations. - Shopping / product understanding: detecting product entities, product categories, and product attributes in organic conversations and aligning them with shopping catalogs. - Signals and tags registry: a unified, governed catalog of ACU signals that powers retrieval, ranking, safety, and insights across Ads Foundations and partner teams. We are looking for a Staff Machine Learning Engineer who will lead the Commercial Content Understanding roadmap for the Monetization org and act as the technical owner for ACU’s signals and ML systems. Roughly 50% of their time should be spent in technical leadership and mentorship (driving designs, standards, cross-team alignment), and 50% in direct hands-on work (modeling, pipelines, and debugging complex production systems). Responsibilities: - Provide technical leadership and mentorship to MLEs and SWEs doing ML work in ACU, acting as de facto tech lead for content understanding and signals: driving design reviews, setting technical standards, and uplifting the team’s modeling and systems craft. - Develop evaluation systems and quality monitoring systems for content understanding signals, using SOTA LM-judge practices. - Drive operational excellence for ACU’s ML systems by defining SLOs, alerting, and dashboards for key signals (coverage, latency, precision/recall, cost) - Build and evolve content understanding capabilities for commercial conversations (e.g., reviews vs. recommendations vs. comparisons vs. Q&A; sentiment and stance; product entities and categories) and operationalize them as robust signals that power contextual and shopping ads, auto-targeting, new formats, and insights products. - Lead design and implementation of signals pipelines and produce an ACU signals registry. Partner with platform teams and other content understanding teams to ensure ef
Staff+ Software Engineer, Caching
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 We're looking for experienced engineers to build Anthropic's cache layer as a managed service from the ground up. The Caching team is part of the Databases organization and owns the systems that keep Anthropic's hottest paths fast and correct: a managed Redis fleet, client libraries used across the company, and CDC-driven cache invalidation that solves one of distributed systems' hardest problems the right way. This is a foundational role on a small team with outsized leverage. Every millisecond you take off a hot path is multiplied across every Claude request. You'll set the technical direction for caching at Anthropic, from the data plane to the developer experience, and you'll work closely with product and research teams to make caching something engineers get for free rather than something they have to think about. Key responsibilities - Drive the technical direction for caching infrastructure used across Product and Research - Design, build, and operate a managed Redis fleet that scales to support millions of users across Claude's product ecosystem - Build client libraries and developer-facing abstractions that make correct caching the default for Anthropic engineers - Design and operate CDC-driven cache invalidation that keeps cached data consistent with source-of-truth databases - Architect caching solutions that operate across GCP, AWS, first-party deployments, and other environments - Optimize latency, hit rates, reliability, and cost efficiency on Anthropic's hottest paths - Build observability and tooling that makes cache behavior easy to understand and debug - Partner with product and research teams to understand access patterns and build infrastructure that accelerates their work - Make build-vs-buy decisions for caching technologies Minimum qualifications - Significant experience as a software engineer building and operating production distributed systems - Deep knowledge of caching architectures, including invalidation strategies, consistency tradeoffs, and failure modes - Experience operating Redis, Memcached, or similar in-memory data stores in production - Proficiency in at least one systems programming language (e.g., Go, Rust, Java, C++) or Python at scale - Track record of leading large, complex infrastructure projects as an engineer or tech lead - Ability to balance moving quickly with the reliability needs of production systems - Strong technical leadership and cross-functional collaboration skills Preferred qualifications - 10+ years building and scaling distributed infrastructure, with 3+ years leading large-scale projects or teams - Experience building managed infrastructure platforms or internal services consumed by many engineering teams - Experience with change data capture (Debezium or similar) or streaming data infrastructure - Experience operating Redis Cluster, Valkey, ElastiCache, Memorystore, or similar managed offerings at scale - Experience designing client libraries or SDKs fo
EMEA Assurance Lead
Scale is powering the generative AI wave by providing the data and infrastructure for companies to build large-scale foundation models. AI is rapidly changing the world, and Scale is growing to meet that rapid demand across global markets, including accelerating public sector business across EMEA. Scale seeks an EMEA Assurance Lead to drive assurance programs across Scale's EMEA public sector and commercial business. Reporting to the Head of Global Assurance, this is a hands-on individual contributor role with significant autonomy. You will independently design and own EMEA-specific controls within Scale's global assurance framework, while staying tightly aligned with the global controls library and reporting cadences. You will be part of the global GRC team and work across Global Public Sector, Enterprise, Security, Engineering, Product, and Legal to deliver region-specific authorizations, certifications, and customer assurance outcomes across EMEA, with a focus on the GCC, UK, and EU markets. You Will - Lead region-specific assurance programs across the GCC and UK, including Qatar NCSA National Information Assurance (NIA), KSA NCA Essential Cybersecurity Controls (ECC), UAE DESC Information Security Regulation (ISR), and UK Cyber Essentials Plus, Defence Cyber Certification (DCC), and NCSC Secure by Design (SdB). You will own controls mapping, evidence collection, gap analysis, certification timelines, and submission management for each, working with accredited external assessors where required. - Work with the global GRC team to maintain and renew Scale's existing certifications and obtain new ones, including SOC 2, ISO 27001, ISO 42001, and ISO 9001. You will also own their extension to EMEA and international operations, including for NATO-aligned defence tenders. - Design and maintain EMEA-specific controls, adapting Scale's global controls framework to sovereign regulatory and customer requirements, including data residency and sector-specific requirements (e.g., health sector), identifying where existing controls satisfy local standards and where new controls or evidence artifacts are needed. - Set priorities and operating cadences for EMEA assurance workflows, including intake, evidence collection, control owner follow-up, remediation tracking, and deadline management, reporting progress through Scale's global assurance dashboards. - Support EMEA public sector customer assurance activities, including security questionnaires, compliance due diligence responses, customer-facing assurance discussions, and compliance input to bid and capture processes where assurance readiness is a procurement gate. - Partner with Legal on EMEA contract-driven assurance obligations, data protection and AI governance compliance intersections (e.g., GDPR, Qatar PDPPL, EU AI Act), and sensitive escalations involving sovereign regulators. - Manage relationships with EMEA-based external auditors, assessors, certification bodies, and regulatory counterparts. - Support internal and external audits across EMEA and report into the Head of Global Assurance on program health, key risks, certification timelines, and regional regulatory developments. Ideally, You’d Have - 7+ years of experience in cybersecurity compliance, GRC, public sector assurance, IT audit, cloud security, or related roles, with meaningful exposure to EMEA markets. - Experience executing government or public sector assurance programs in the UK, EU, or GCC, including working with external certification bodies, government assessors, or authorizing officials. - Deep familiarity wit
Principal Engineer, AI Platform
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ONLINE INFRASTRUCTURE What We Do We enable Epic’s online services teams to build, deploy, and manage services that are used by more than half a billion players around the world. Our mission is to provide world class tools and platforms to improve the experience of our developers and make it easier, faster, and safer to build, operate, and scale their applications. We operate at massive scale as one of the largest cloud computing users in the world. What You'll Do Epic Games is the creator of Fortnite, Unreal Engine, and the Epic Games Store — a company that has shaped the way billions of people play, create, and connect. We build the foundational technology that powers some of the largest interactive experiences on the planet, and we give those tools to creators and developers around the world through open ecosystems. Behind the products is an engineering organization that operates at rare scale: real-time infrastructure for hundreds of millions of players, a game engine used across film, architecture, and automotive industries, and a platform ecosystem that lets indie developers ship games to every major device on Earth. Our AI Platform team is building the next layer of that infrastructure — an enterprise-grade stack of agentic AI systems that automates engineering workflows, accelerates developer productivity, and enables new kinds of collaboration across Epic's teams. We're not a research group and we're not deploying off-the-shelf tools. We're architecting and building production systems from the ground up, across six interconnected platforms: - AI Agent Orchestration — multi-tenant platform for team AI agents that live and collaborate in Slack channels, Source Control, etc. - EMA (Epic Managed Agents) — compute and workspace infrastructure for headless agent harness runs at scale - AI MCP Gateway — MCP OAuth gateway, plugin runtime, and governance layer for AI tool orchestration - Non Human Identity Management — agent identity, credential vault, and authorization for non-human workloads - Centralized AI Knowledge Base — org-wide memory plane with knowledge graph, deductive reasoning, and hierarchical summarization - Roost — cryptographically signed software distribution and the Claude Code plugin marketplace This is foundational work that will define how AI is used inside Epic for the next decade. The scale is real, the problems are hard, and the team is small enough that every engineer makes a decisive architectural impact. As a Principal Engineer on the AI Platform team, you'll own the technical direction of our agent infrastructure stack end to end. You'll set the architecture across the six platforms above, drive alignment between them, and personally solve the hardest distributed systems and security problems that emerge as the stack scales. You'll work across teams to ensure agent identity, tool governance, memory, and execution infrastructure are coherent, secure, and operable — and you'll mentor the engineers who build alongside you. This isn't a co
Applied AI Architect - Tokyo
About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations. In this role, you will: - Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing customers and pre-sales prospects. - Partner with Account Directors on account strategy while owning the technical account plan, technical milestones, adoption priorities, and expansion opportunities. - Lead discovery with executives and technical teams to identify, qualify, and prioritize use cases tied to meaningful business outcomes. - Develop clear Applied AI Architectures spanning models, applications, data, integration, security, privacy, governance, evaluation, and deployment. - Guide customers through technical evaluations, demonstrations, workshops, prototypes, and proofs of value, securing confidence in both the solution and its path to production. - Maintain a focused use-case portfolio with clear decision criteria, ownership, blockers, success measures, delivery needs, and adoption plans. - Develop trusted relationships and technical champions across CTOs, CIOs, CISOs, AI leaders, engineering teams, and other customer stakeholders. - Qualify and coordinate support from Deployment Engineering, implementation, training and enablement, product and domain specialists, partners, and other delivery teams. - Remain accountable for technical progress and customer outcomes while ensuring delivery teams own implementation execution once engaged. - Track adoption, usage, account health, production readiness, and measurable customer impact, intervening early when risks threaten value realization. - Apply industry or digital-native expertise to recognize repeatable patterns, sharpen customer priorities, and identify relevant expansion opportunities. - Share customer insights with Product, Engineering, and Research, translating field learnings into better products, architecture guidance, and reusable practices. You might thrive in this role if you: - Have significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success. - Have guided enterprise organizations from technical evaluation through production adoption and measurable business impact. - Build credibility with senior technical and business leaders while communicating equally well with hands-on engineers. - Bring strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy. - Understand modern AI systems, frontier LLM models, agentic applications, model evaluation, retrieval, or enterprise AI workflows. - Can prototype, explain technical tradeoffs, and work confidently with APIs, SDKs, and languages such as Python or JavaScript. - Exercise sound judgment about when to go deep personally, when to involve specialists, and how to define clear handoffs and ownership. - Have experience developing technical account plans, prioritizing complex customer portfolios, and connecting adoption to measurable outcomes. - Bring meaningful expertise in a relevant industry or strong fluency with the needs of digital-native businesses. - Communicate clearly and can turn ambiguity into a practical technical narrative, executive decision, or action plan. - Work collaboratively across disciplines and care deeply about helping organizations deploy advanced AI responsibly. 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.
Engineering Manager, Saudi Arabia
About Scale AI Scale's rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing governments around the world. Our core work consists of: - Creating custom AI applications that will impact millions of citizens - Generating high-quality training data for national LLMs - Upskilling and advisory services to spread the impact of AI As these applications move from prototype to production, we're investing heavily in the infrastructure and people that keep them reliable, secure, and trusted by our government partners. At Scale, we're not just building AI solutions - we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you. Role Overview We are looking for a technically strong and customer-oriented Engineering Manager to lead the development of AI applications for Saudi government clients. This role sits at the intersection of engineering leadership, AI/ML delivery, and direct client engagement—requiring someone who is equally comfortable presenting to a government stakeholder as they are reviewing a system architecture or shipping code. As a founding member of our regional team, you will help define how Scale AI shows up for some of the most ambitious public sector AI initiatives in the Gulf. If you thrive in fast-paced, high-impact environments and want to shape the future of AI in government, we would love to hear from you. What You'll Do - Lead and manage a team of engineers delivering AI-powered applications for KSA government clients, ensuring high-quality output and on-time delivery - Serve as the primary technical point of contact for KSA government stakeholders—translating complex engineering concepts into clear, accessible language for non-technical audiences - Design, build, and optimize full stack AI applications end-to-end, from data pipelines and ML model integration through to APIs and frontend delivery - Develop and deploy AI/ML solutions including LLM-powered features, AI agents, and intelligent automation tailored to government use cases - Build and maintain robust API integrations connecting Scale's platform with government systems and third-party services - Partner with product, go to market, and government counterparts to define requirements, scope solutions, and drive delivery from conceptualization through production - Represent Scale in client-facing settings including workshops, demos, and executive briefings with KSA government agencies - Manage the full product lifecycle across multiple workstreams simultaneously, balancing speed and quality in a fast-paced environment - Inspire, mentor, and grow engineers on the team, fostering a culture of technical excellence and customer focus - Influence team culture, engineering processes, and best practices as a senior leader within the Global Public Sector organization What We're Looking For - 6+ years of total software engineering experience, with a strong background in AI/ML engineering and full stack development - 3+ years of engineering leadership experience, with a demonstrated ability to manage and develop high-performing technical teams - Strong AI/ML engineering foundation—ha
Software Engineer, Developer Productivity
About the Role The Engineering Acceleration team designs, builds and maintains the foundational systems that engineers use to build ChatGPT and the API. This is a fast-growing team and you will get a chance to own and define the strategy, vision, and plan for how to increase developer productivity. In this role, you will: - Drive the design, development, and implementation of tools, systems, and processes that accelerate engineering velocity, reduce manual effort, and increase the quality of output. - Use our latest AI tools to re-think how we can be the most productive team in the industry. - Work closely with various teams within OpenAI to understand their workflows, challenges, and needs, and ensure the tools and systems built by the Engineering Acceleration team address these requirements. - Bring new features and research capabilities to the world by partnering with product engineers to lay the necessary technical foundations. - Guide and advise product engineering teams on best practices for ensuring observable, scalable systems. - Like all other teams, we are responsible for the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed. You might thrive in this role if you: - Have 5+ years of experience in engineering, including 3+ years of experience in infrastructure building tooling for developers. - Have experience-driven empathy for the tools, frustrations, and processes that slow engineering teams down and lead to toil or burnout. - Have a voracious and intrinsic desire to learn and fill in missing skills—and an equally strong talent for sharing learnings clearly and concisely with others. - Are comfortable with ambiguity and rapidly changing conditions. You view changes as an opportunity to add structure and order when necessary. As technical context: at the heart of our infrastructure is a large-scale deployment of GPU nodes running in dozens of Kubernetes clusters across regions. Some core technologies we build with include Terraform, Buildkite, Postgres, Cosmos DB, Kafka, Python, and FastAPI. This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employee. 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.
Account Executive - Productions - Europe
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 $11B - 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 company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE ElevenProductions is the premium audio services arm of ElevenLabs that uses human-in-the-loop production workflows to deliver high-quality localization, audiobooks, custom voices, advertising creative, and more to customers across media, broadcasting, publishing, and gaming. ElevenProductions is powered by a network of 500+ professionals across 15 language teams that combine industry expertise with a deep knowledge of AI tools. We are looking for enterprise Account Executives to drive ElevenProductions growth across Europe. You will work closely with Hollywood studios, TV networks, Big 5 book publishers, AAA gaming studios, and more to expand our service provider footprint and bring real-world use cases of ElevenLabs technology to life. IN THIS ROLE YOU WILL: 1. Build and manage a growing portfolio of new accounts across Media & Entertainment, publishing, and other industries adopting services powered by AI audio at scale. 2. Develop and execute strategies to expand ElevenLabs’ service provider footprint presence within key accounts 3. Partner closely with customer success and solutions engineering to ensure smooth onboarding and expansion of accounts. 4. Serve as a trusted advisor to customers in how they adopt and deploy ElevenLabs technology at scale REQUIREMENTS 1. 7+ years of quota‑carrying technology sales experience, ideally in Media & Ent
Manager– Growth Sales (AI-Native)
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 a Manager on the AI-Native GTM team at Anthropic, you'll lead a team of 5-10 Growth Account Executives responsible for driving expansion and retention across our fastest-growing AI-Native customers. You'll build and develop a high-performing team while establishing the frameworks, processes, and best practices that enable them to help customers harness the transformative potential of safe, frontier AI. In this role, you'll be responsible for growing team revenue, driving optimal commercial outcomes, and ensuring Anthropic is building long-term partnerships with the world’s fastest growing AI native startups. Responsibilities: - Lead, coach, and develop a team of 5-10 Account Exexutives, providing regular feedback and guidance to drive both individual and team performance - Own team revenue targets, developing strategies to accelerate growth - Build scalable frameworks and processes for deal negotiations, account planning, quarterly business reviews, and customer health monitoring - Partner with Product, Marketing, and other GTM teams to identify and execute on strategic growth opportunities across the startup portfolio - Regularly review customer health metrics and collaborate with team members to develop action plans for at-risk accounts - Mentor team members in developing consultative sales skills, negotiation best practices, and technical understanding of AI applications - Drive operational excellence through pipeline management, forecasting accuracy, and team productivity metrics - Participate in strategic customer conversations and support Growth AEs in complex negotiations You may be a good fit if you have: - 10+ years of experience in enterprise software sales or account management, with 3+ years leading sales teams - Proven track record of consistently exceeding team revenue targets and developing high-performing account executives - Strong understanding of the startup ecosystem and experience working with high-growth technology companies - Deep expertise in strategic account planning and scaling account management processes in a fast-paced environment - Strong analytical and problem-solving skills with a data-driven approach to decision making - Excellence in cross-functional collaboration and stakeholder management - Background in technical product sales, particularly in areas like APIs, infrastructure, or ML/AI solutions - Demonstrated ability to coach and develop talent while maintaining high performance standards The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Ear
Senior Staff Data Scientist - Consumer Experimenta...
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet. Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes. Reddit's experimentation landscape presents uniquely challenging problems. Our platform is a deeply interconnected network of communities, contributors, and consumers – meaning that standard A/B testing assumptions often break down. We need a senior technical leader who thrives on these hard problems and can raise the bar for causal inference and experimentation rigor across the entire Consumer organization. As a Senior Staff Data Scientist on the Consumer team, you will be the go-to expert on experimentation methodology, owning the most complex and high-stakes experimentation challenges across Consumer. You will shape how Reddit learns from its experiments, ensure we draw valid causal conclusions in the presence of network effects and interference, and influence product strategy through rigorous experimental design and analysis. Responsibilities: - Serve as the technical authority on experimentation methodology across Consumer, setting standards for design, analysis, and interpretation of experiments in a complex, networked environment - Tackle the hardest experimentation problems at Reddit, including spillover and network effects, interference between treatment and control, two-sided experimentation, and long-run effect estimation - Develop and advance methods for causal inference in settings where standard randomization assumptions are violated, such as cluster-randomized designs, switchback experiments, and synthetic control approaches - Design experimentation frameworks and guardrail metrics that account for ecosystem-level effects, ensuring product
Senior Software Engineer, Full-stack
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 Anthropic’s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai , the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership. You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. What you'll do: Developer Experience: You'll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of what's possible with our models and API. That means building trust through great platform fundamentals, inspiring developers to raise the bar in how they use Claude's capabilities, and accelerating the path to agentic development by designing for both human and AI developers. You'll work closely with teams across the Platform org to turn Claude's newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent. Beneficial Deployments: Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way. Vertical AI Products: Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come: - Financial Services — analysts and bankers across investment banking, asset management, insurance, and corporate finance, building models, memos, and decks under deadline. We're building deeply integrated experiences inside the tools they already use — retrieval, analysis, and document generation that holds up to executive review. <li
Commercial Counsel, GTM
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 We're looking for a Commercial Counsel, GTM to join our legal team at the forefront of shaping how cutting-edge AI technology reaches users, researchers, and enterprises worldwide. You'll work alongside experienced colleagues who operate as true strategic partners—moving fast, thinking creatively, and working collaboratively to support deals that matter. In this role, you'll focus heavily on supporting our Go-to-Market teams, handling enterprise agreements and customer negotiations while gaining exposure to a range of commercial work including research collaborations, product partnerships, and procurement. Additionally, you’ll have opportunities to work on cutting-edge AI safety and research agreements, including threat-sharing frameworks with leading security organizations and collaborations that shape and advance responsible AI development standards. This is an excellent opportunity for a motivated attorney to develop deep expertise in their commercial transactions career while contributing directly to responsible AI development. Responsibilities: - Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales transactions including enterprise customer contracts - Partner closely with Sales and Go-to-Market teams to support deal velocity and provide practical legal guidance - Help build and maintain our commercial legal infrastructure, including contract templates, playbooks, and process improvements - Potentially partner with Policy, Safeguards, and Research teams on novel AI governance initiatives - Identify and escalate legal risks appropriately while supporting business momentum - Stay current on legal developments affecting AI technologies You might be a good fit if you have: - A JD and active membership in at least one U.S. state bar (California preferred) - At least 3-5 years of legal experience, with exposure to commercial contracts, SaaS agreements, or technology transactions - Clear communication skills and comfort translating legal concepts for non-lawyer audiences - A low-ego, collaborative approach to working with colleagues and external partners - Curiosity about AI technology, AI Policy, and commitment to responsible AI development - Experience navigating multi-stakeholder agreements involving technical and policy considerations - Comfort in fast-paced environments with shifting priorities - A "doer" attitude—willingness to roll up your sleeves and pitch in where needed Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco, Seattle or New York offices at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the rol
Staff Frontier Agents Engineer (Forward Deployed E...
About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media, telecommunications, and government to build production AI agents that automate complex workflows, reason over enterprise knowledge, and operate safely at scale.
Product Lead, AI
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Payments Intelligence organization optimizes each of the billions of dollars of transactions processed by Stripe annually on behalf of our users, maximizing successful transactions while minimizing payment costs and fraud. We own products like Radar, Authorization Boost, and Disputes, building fast and scalable services and creating intuitive user experiences. We serve real-time predictions as part of Stripe’s payment infrastructure and architect controls that leverage ML to optimally manage users’ business. What you’ll do As a Product Lead on the Payments Intelligence team, you’ll be responsible for scoping, designing, and building intuitive features that help users maximize their revenue while minimizing their cost while shaping our intelligence platform. You will partner with many functions at Stripe, with the opportunity to both work on infrastructure/platform systems, as well as produce direct user-facing business impact. Day to day you’ll be working closely with a team of engineers and data scientists. You’ll collaborate with peers in Design, Product Marketing, Partnerships and many others to craft the vision for our Payments Intelligence products. Responsibilities - Develop the long-term vision and strategy for our Payments Intelligence products, prioritize accordingly, and create an execution roadmap - Deeply understand our users’ needs by spending time with developers, sales, and support, and by observing patterns/trends across their feedback, the market, and our data - Build and launch new capabilities and products that bring significant value to customers - Set the pace, prioritization and execution for the team - Work with a wide range of systems, processes and technologies to own and solve technical and product problems - Collaborate with stakeholders across the organization such as Engineering, Design, Data Science, Marketing, Sales, Account Management, and Operations - Build and coach your team on best practices in defining product requirements and how to deliver against those requirements and the overall roadmap Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements: - Product Management experience: 10+ years of relevant experience - 4+ years of experience managing Product Managers - Strong business acumen: You enjoy digging into the details of how a business works, identifying how to make it better, and building product/technical solutions to do so - Customer and Partner facing experience: You’re comfortable in front of customers or third-party collaborators, and have experience navigating customer conversations
Staff AI Engineer | US | Remote
Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants from USA time zones only at this time. Staff AI Engineer The Opportunity: Grafana's Revenue Operations organization is looking for a Staff AI Engineer to own the AI agent infrastructure and automation platform that powers our GTM teams. You'll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You'll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction. You'll identify the highest-leverage problems across Sales, Customer Success, and Marketing, design the solutions, and ship them. You'll define the technical direction for the automation platform—data models, API contracts, shared libraries, reference architectures—and partner with Data Engineering, GTM Systems, Field Operations, and GTM leadership to build scalable, self-service automation that eliminates manual work and drives operational efficiency. What You’ll Be Doing: Agentic Tool Development - Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation - Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams - Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) - Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management - Establish governance and compliance standards for AI workflows including access controls
Manager, Machine Learning Engineering (Repayment &...
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Join Affirm as a Machine Learning Engineering Manager and become a pivotal part of our Repayment & Recovery machine learning group. Specifically, you will manage a team of ML engineers that builds the models powering the post-origination side of the credit lifecycle using novel ML techniques and rich representations of data to predict repayment behaviour, prioritise and personalise collections, and minimise loss after a loan is originated. In this role, you will help shape the future of machine learning at Affirm. You'll partner with engineering, product, and risk leaders to design, implement, and scale advanced ML solutions that drive critical capabilities across the company. You will mentor engineers, bring clarity to complex, ambiguous problems, and contribute to a cohesive long-term ML strategy. This role is based in Europe, with openness to candidates in the UK, Poland, or Spain. What you'll do - Set the technical strategy for your team, and help your engineers tie it together with critical, business-impacting projects across repayment, collections, recovery, and loss mitigation. - Act as a force-multiplier through your definition and advocacy of technical solutions and operational processes. - Collaborate across teams in the product development lifecycle by partnering with product management, design, analytics, and risk to ensure technical sustainability, risks and trade-offs are well understood and managed. - Develop talent by providing feedback and guidance, and leading by example. What We Look For - Bachelor's in a technical field with 8+ years of industry experience, including 3+ years managing engineers. - A background in financial services, specifically in credit / lending, with hands-on experience in post-origination modeling — collections, repayment, recovery, loss mitigation, early-warning or behavioural risk, or similar. - Proficiency in machine learning with experience in areas including tree-based models, transformers, deep learning, and agentic ML. - Strong engineering skills and the ability to provide hands-on technical leadership while working with our code and architecture. - You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work. - This position requires either equivalent practical experience or a Bachelor's degree in a related field. Compensation & Benefits Base Pay Grade - P Equity Grade - 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidised medical coverage, dental and vision for you and your dependents.) Base pay range per year: £142,000 - £190,000 Location: UK Remote LI-Remote Affirm is proud to be a remote-first company!
Security Controls Assurance Lead
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 Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward a fundamentally different kind of GRC: one that directs Claude, with the right humans in the loop, to challenge and evidence the performance of controls continuously rather than through periodic audits. We are designing an integrated compliance and risk ecosystem that serves as a trust engine and an independent risk advisor as Anthropic governs itself at a level beyond frameworks. As part of Security GRC's technical controls assurance function, you will be the voice on what the control environment must achieve. You will define control requirements and acceptance criteria for our global compliance obligations (e.g. SOC 2, ISO 27001/42001, HIPAA, public sector) across the software development lifecycle, pair with engineering as they design and implement against those requirements, and validate that what ships actually meets the bar. Key responsibilities - Define the control framework and requirements for autonomous AI operators in collaboration with Security, Internal Audit, and Engineering, including change review and approvals, human-in-the-loop, and evidence collection. Assess implementations against those requirements. - Pressure-test major infrastructure, system, and agent framework changes for control impact during design, before decisions become expensive rework. - Set the compliance bar for home-built systems. Collaborate with teams to define what the internal system must provide from day one, such as auditability, segregation of duties, and change control over the tool itself. - Define the criteria for where and when AI can operate, supplement, or replace a manual process or control, including the human-in-the-loop thresholds and evidence documentation. - Establish the validation, evidence, and governance standards that allow AI-performed and AI-assisted processes and controls to withstand external audit and regulatory scrutiny. - Assess the introduction of new compliance frameworks and changes in scope (new regulations, certifications, products, or entities), providing a sufficient technical and compliance lens on their impact to control design, evidence requirements, and engineering effort before commitments are made. - Stand up or advise on audit workflows for the assurance team, including Claude-driven control testing, automated evidence collection, walkthrough preparation, and framework mapping against our common controls framework, materially raising automated evidence coverage and cutting audit prep time. Minimum qualifications - Thrive at the pace of a hypergrowth company. You’re comfortable making calls with incomplete information and reprioritizing as scope shifts. - Have supported technology control programs through SOX readiness or as a public company or with equivalent rigor (FedRAMP, large mult
Enterprise Account Executive - Life Sciences
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 We're seeking an experienced Enterprise Account Executive to drive adoption of Anthropic's AI solutions across the life sciences sector throughout EMEA. In this role, you'll leverage your deep understanding of the pharmaceutical and biotech ecosystem to help organizations accelerate drug discovery, optimize clinical operations, and bring treatments to patients faster through responsible AI implementation. Responsibilities - Develop and execute strategic sales plans to drive adoption of Anthropic's AI solutions within large pharmaceutical, biotech, and medical device organizations - Build and maintain relationships with key decision-makers at global pharma companies, specialty biotechs, and CROs across EMEA - Partner with our HCLS Applied AI team to articulate technical capabilities and develop compelling value propositions for life sciences-specific applications - Identify and qualify new opportunities through discovery calls, demonstrations, and collaborative problem-solving sessions - Navigate complex enterprise buying processes within large pharma organizations, negotiate contracts, and close strategic deals - Leverage our strategic partnerships to expand our reach in the life sciences market - Monitor and report on sales pipeline, market trends, and competitive landscape - Capture and communicate industry-specific requirements to inform product development - Represent Anthropic at life sciences industry events and conferences - Collaborate cross-functionally to ensure our solutions address pharma-specific challenges around data privacy, security, and regulatory compliance — including EU AI Act considerations and EMA guidance on AI in medicines development You may be a good fit if you have - 8+ years of enterprise sales experience within the EMEA market, with at least 5 years selling technology solutions into large pharmaceutical, biotech, or medical device companies - Proven track record of exceeding quota and closing complex enterprise deals with global pharma or specialty biotech organizations - Deep understanding of life sciences industry dynamics, including R&D workflows, clinical development, drug commercialization, regulatory affairs, and digital transformation initiatives - Experience navigating lengthy procurement cycles and multi-stakeholder decision processes within large, matrixed pharma organizations - Established relationships with senior executives across R&D, IT, and commercial functions at major pharmaceutical and biotech companies - Ability to translate technical AI capabilities into business value and ROI in a life sciences context - Experience collaborating with technical teams to develop tailored solutions - Excellent communication and pres
Content Lead
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. Location: San Francisco, CA, New York, NY, or Remote We're looking for a Content Lead to build and scale LangChain's content practice. In this player/coach role, you'll drive our strategic content direction while managing and mentoring a Content Marketer. You'll lead the vision for how we reach, educate, and deepen engagement with our developer community—from blog and thought leadership to flagship initiatives. Beyond execution, you'll build the processes, standards, and team capabilities that allow us to produce high-quality, high-velocity content as we scale. This is a high-impact role with real ownership. You'll shape LangChain's voice in the developer community and set the editorial bar for technical quality. You'll stay hands-on with our most critical content initiatives while empowering your team to own end-to-end projects. You'll partner closely with education, engineering, product, and marketing to surface the most important stories and ensure our work reaches the right audiences through the right channels. You should be comfortable moving between big-picture strategy and hands-on execution—deciding what we publish and why, while also writing and editing key pieces and iterating on quality. You'll define our editorial direction and content roadmap, build scalable workflows and standards, mentor your team on both craft and strategy, own flagship projects like the State of Agents report, and collaborate with our SEO agency on SEO efforts. WHAT YOU'LL DO Build and mentor your content team: Hire, onboard, and develop a high-performing Content Marketing team. Provide regular feedback, coach them toward strategic thinking, delegate ownership of key initiatives, and create growth opportunities. Set clear expectations, establish editorial standards, and empower your team to ship great content independently. Define content strategy and roadmap: Develop and execute the strategic vision for LangChain's content, identifying key themes, audience segments, and content opportunities that drive business goals. Create a rolling editorial calendar that aligns with product launches, market moments, and developer needs. Lead flagship content initiatives: Drive industry-defining thought leadership pieces like the State of Agents report. Work with internal subject matter experts to produce authoritative, data-driven content that shapes industry conversation. Own blog performance and organic growth: Drive organic web traffic through exceptional content strategy and execution. Own blog metrics including traffic, engagement, and conversion. Work with your team to ideate, execute, and iterate on content that resonates with developers. Write and edit high
Lead Counsel, Product and Intellectual Property
Come join our legal team to work on the most exciting legal, policy, and operational issues at the leading edge of AI. We're seeking strong product lawyers with specialized expertise in intellectual property law. As product counsel, you will advise on all legal aspects of product development, launch, and operations - including regulatory compliance, user terms, and risk management - while bringing deep expertise in your specialized legal area. The ideal candidate will have deep subject matter expertise in intellectual property law, a technology background, and a demonstrable history of providing practical product counsel to solve complex, time-sensitive problems in close partnership with cross-functional teams. This role reoprts to the Associate General Counsel, IP & Product. You will: - Strategic Product Advice: Lead IP strategy for product development, embedding IP protection into the full product lifecycle from conception to commercialization, while also advising on related product and regulatory matters in collaboration with the broader legal team. - Cross-Functional Collaboration: Partner with Research, Product, Engineering, Operations, Communications, and Marketing teams to mitigate IP risks in product development, data licensing, and open-source governance. - IP Counsel: Support management of Scale's worldwide IP portfolio including patents and trademarks; assist with patent prosecution and trademark registration and enforcement. - Risk Mitigation: Advise on third-party, synthetic, and open-source data and models, ensuring compliance with licensing requirements; design open-source governance policies. - Agreements: Support drafting and negotiation of commercial agreement provisions involving intellectual property. - Specialized Expertise: Provide counsel on machine learning, robotics, and other technical areas, with ability to engage effectively with technical teams on complex engineering and product issues. - Training: Develop and deliver IP and data licensing training to enhance Scale's compliance culture. Ideally you'd have: - Experience: 5+ years of experience in intellectual property law at a top-tier law firm and/or in-house legal department (ideally product counseling within a high-growth technology company). Experience advising on broader product or regulatory matters is a plus. - Education: JD and active membership in at least one U.S. state bar (California preferred) in good standing. - Strategic Thinking: Ability to think strategically at a high level and from deep in the details to drive complex problem-solving and develop creative, business-forward solutions. - Risk Calibration: Ability to calibrate risk, distinguish business from legal risk, and communicate it clearly to executive, business, and technical audiences. - Collaboration : Roll-up-your-sleeves attitude to tackle projects large and small with a low-ego, collaborative approach across the organization. - Agility and Organization: Ability to think quickly in a fast-paced environment with excellent organizational and communication skills. - Technical Fluency : Deep interest in artificial intelligence, generative AI, and machine lea
Senior Software Engineer, Inference
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 maintaining 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 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. Strong candidates may also have experience with: - High-performance, large-scale distributed systems - Implementing and deploying machine learning systems at scale - Load balancing, request routing, or traffic management systems - LLM inference optimization, batching, and caching strategies - Kubernetes and cloud infrastructure (AWS, GCP) - Python or Rust You may be a good fit if you: - Have significant software engineering experience, particularly with distributed systems - Are results-oriented, with a bias towards flexibility and impact - Pick up slack, even if it goes outside your job description - Want 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 Representative projects across the org: - Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators - 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 - Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage - Contributing to new inference features (e.g., structured sampling, prompt caching) - 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 Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range fo
Principal Technical Product Manager, AI - Central...
Riot leverages Technical Product Managers (TPMs) in situations where deep technical expertise will meaningfully improve product outcomes. As a Principal TPM focused on Artificial Intelligence, you will not be bound to a single feature team. Instead, you will act as a strategic force multiplier, assessing Riot’s entire product landscape to identify where Machine Learning and Generative AI can fundamentally transform how we make games and how players experience them. As a Principal Technical Product Manager on Central Product, you will serve as a key lieutenant to leadership, deployed to bring structure and ambition to our most critical Initiatives. You will move fluidly between high-level strategy and deep tactical execution, ensuring that when we commit to an AI initiative, we deliver tangible value to our players and Rioters. Responsibilities: - Assess Riot’s product landscape to identify high-impact opportunities where AI can enhance development or player experience. - Develop and align generative strategy for critical product areas, prioritizing outcomes that create measurable value. - Bring strategic structure and clarity to our core AI Initiatives to ensure they are set up for long-term success. - Author strategic proposals and "Build vs. Buy" analyses to secure alignment from executives and game teams. - Partner with engineering and research teams to ensure AI solutions are robust, scalable, and seamlessly integrated into workflows. - Lead cross-functional teams through influence, bridging the gap between abstract AI concepts and concrete product requirements. - Serve as a strategic proxy for leadership, stepping in to manage high-stakes opportunities with autonomy. - Translate empathy for internal developers and players into AI product experiences that solve genuine pain points. Required Qualifications: - 8+ years of relevant experience in Technical Product Management or a related engineering/research field. - Demonstrated experience managing products powered by Machine Learning, Large Language Models (LLMs), or Generative AI. - Proven ability to operate at a Principal level, navigating organizational complexity to drive outcomes without direct authority. - Strong technical background (CS degree or equivalent experience) allowing for credible debate on tradeoffs with Engineering Leads. - Experience translating open-ended research or ambiguous technical capabilities into concrete product roadmaps with defined milestones and success metrics. Desired Qualifications: - Familiarity with the game development lifecycle, including art toolchains, game engines, and live ops workflows. - Experience taking a nebulous technology concept and turning it into a shipped product with clear KPIs and metrics. - Passion for games and a deep understanding of the player experience. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/
B2B Marketing - UKI Growth Lead
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 $11B - 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 company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are looking for a powerhouse Growth Marketer to own and accelerate our B2B footprint in the UK and Ireland. This isn't a traditional marketing role; we need a "jack of all trades" who can pivot from high-level campaign planning to setting up complex outbound sequences in the same afternoon. You will be the primary driver for growth in these regions, taking full ownership of projects from inception to the final outcome. You are someone who views "chaos" as an opportunity to build and thrives when managing multiple work streams simultaneously. YOUR RESPONSIBILITIES - Full-Funnel Ownership: Drive the UKI B2B growth strategy and partially tackle the Nordic markets, owning the pipeline target from lead gen to conversion - Outbound Mastery: Set up, manage, and optimize complex outbound sequences to reach enterprise decision-maker - Event & Campaign Execution: Organize high-impact events, webinars, and trade shows from start to finish - Performance & Analysis: Work closely with the performance team on retargeting and ABM, while being comfortable diving deep into the numbers to analyze what’s working - Creative Content: Craft compelling sales collateral, thought leadership content, and messaging tailored to the UKI and Nordic tech landscapes - Vendor & Partner Management: Identify and orchestrate top-tier local partnerships and sponsorships REQUIREMEN
Get tailored job alerts, not another account to manage
Start with your email. We’ll send the newest roles for this site each day; unsubscribe in one click.
Coming soon: automatic applications. You’ll be able to define your criteria and let Jobs in AI apply to matching roles. This is a preview only—applications are not automated today.