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Vice President, Head of Clinical Operations
Your work will change lives. Including your own. The Impact You’ll Make At Recursion, we are decoding biology to radically improve lives. As Vice President, Head of Clinical Operations, you will own clinical operations strategy and execution across Recursion’s development portfolio from study planning through study closeout, data delivery, inspection readiness, and registrational support. This is a portfolio-wide leadership role for an experienced clinical operations leader who can build scalable operating models, lead high-performing teams, manage global trials, and ensure operational excellence across early and late-stage clinical programs. You will also help define what modern clinical operations look like in an AI-native TechBio company: data-driven, quality-focused, patient-centered, technology-enabled, and built to move with urgency because patients are waiting. In this role, you will: - Lead clinical operations strategy and execution across Recursion’s full clinical portfolio, from IND/CTA planning and first-in-human studies through proof-of-concept, pivotal trials, study closeout, and submission support - Own end-to-end operational delivery, including study planning, feasibility, country and site strategy, start-up, enrollment, monitoring, vendor oversight, budget management, database lock readiness, and closeout - Build, scale, and mentor a high-performing Clinical Operations organization, including clinical project management, clinical trial management, outsourcing/vendor oversight, and portfolio operations capabilities - Establish portfolio-level governance, operating rhythms, KPIs, dashboards, risk management, resource planning, and escalation pathways to support timely, high-quality trial execution - Lead CRO and vendor strategy relationships, including outsourcing model, selection, contracting partnership, performance management, issue escalation, budget forecasting, and accountability for delivery - Ensure inspection-ready execution across all studies through strong GCP compliance, SOP adherence, TMF oversight, risk-based quality management, audit readiness, CAPA management, and proactive issue resolution The Team You’ll Join You will join Recursion’s Clinical Development organization, reporting to our Chief Medical Officer. The Clinical Development team is an empowered, execution-minded group responsible for translating Recursion’s innovative science into medicines for patients. You will work closely with leaders across Development, Regulatory, Development Sciences, Clinical Operations, Data Science, Biology, Chemistry, Portfolio Strategy, Communications, Legal/Compliance, and future commercialization functions. Together, you will help ensure Recursion’s clinical programs are informed by robust evidence, external medical insight, patient need, and the full potential of the RecursionOS. The Experience You’ll Need - Bachelor’s degree in a scientific, healthcare, or related field required; advanced degree preferred - 15+ years of biotech or pharmaceutical clinical operations experience, including significant leadership experience overseeing multiple clinical programs and global clinical trials - Proven track record leading clinical operations from early development through pivotal studies, registration-enabl
Staff Machine Learning Engineer - League of Legend...
At Riot, we are investing in League of Legends to grow the game for generations to come. As player needs become more varied and our experiences become more dynamic, machine learning is an increasingly important part of how we help players discover the right experiences, make better decisions in and around the game, and find fair, compelling matches. As a Staff Machine Learning Engineer embedded into League of Legends, you will build applied machine learning systems that directly improve player experience. You will work across player and product problems through data, modeling, experimentation, launch, and iteration, partnering closely with League product, design, Insights, game engineering, and service engineering teams. Your work could span across personalized player experiences, in-game systems, and matchmaking. You will report to the Senior Manager, ML Engineering in Tech Foundations while operating as a deeply embedded technical partner to the League team. You will also help strengthen craft standards, knowledge sharing, and technical quality across Riot’s growing ML engineering discipline. This role will be located at our Los Angeles headquarters. Responsibilities: - Own end-to-end ML solutions for player-facing problems across personalization, game systems, and matchmaking, from problem framing through production launch and ongoing iteration. - Set technical direction for a League ML domain and create reusable modeling, evaluation, and operating patterns that raise the bar beyond your immediate team. - Build models, recommenders, ranking systems, and decision logic that help players discover the right champions, builds, modes, content, and return paths based on their needs and context. - Develop ML approaches that improve in-game systems and matchmaking quality, balancing player experience, fairness, reliability, and operational constraints. - Partner closely with product managers, designers, analysts, and engineers to shape ambiguous opportunities into clear technical plans and shipped player-facing features. - Translate gameplay, behavioral, and product telemetry into reliable signals and evaluation frameworks. - Design and run experiments to evaluate model quality, player impact, and system tradeoffs. - Work directly with game and service engineers to integrate models into League systems and services, including helping define instrumentation and telemetry when needed. - Operate independently across multiple partner groups, driving multi-month work with limited day-to-day oversight. - Contribute to the ML engineering community at Riot through peer reviews, documentation, craft standards, and shared learnings. - Help establish robust monitoring, observability, and support practices for live ML systems as they scale. Required Qualifications: - Bachelor’s degree or higher in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience. - 6+ years of experience delivering ML systems in production, including 3+ years in applied modeling or ML research roles. - Evidence that your modeling choices have been adopted beyond your immediate team — whether through reusable patterns, shared architectures, or influence on how others approach problems. - History of working with complex or unconventional data sources where off-the-shelf feature engineering doesn’t apply. - Experience in production environments with interacting models, feedback loops, or systems where model behavior has downstream consequence
Events Lead - Brazil
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 Brazil is one of our fastest-growing markets globally, and we're looking for a highly motivated Events Marketer to lead planning and execution of impactful events across the country and broader Brazil-focused GTM motion. Your work will deepen ElevenLabs' presence, drive brand awareness, and generate high-quality pipeline in partnership with our Brazil GM and GTM teams. You'll own the full lifecycle of in-person owned events, third-party tech conferences, executive dinners, workshops, webinars, sponsorships, and strategic partnerships. You'll adapt and localize successful global playbooks while identifying new, high-impact opportunities unique to the Brazilian market. In this role, you will: - Develop and execute event plans aligned with business objectives across São Paulo, Rio de Janeiro, and key Brazilian markets - Organise third-party conferences, owned branded events, and strategic dinners with key customers and prospects - Collaborate cross-functionally with sales, marketing, and GTM teams for seamless execution - Create compelling event messaging that resonates with Brazilian business audiences - Manage event budgets and timelines end to end - Analyze event performance and provide recommendations for future improvements - Build and maintain relationships with sponsors, partners, and vendors across Brazil What you bring: - 5+ years events ex
Executive Director, Asset Project Leadership
Your work will change lives. Including your own. The Impact You’ll Make At Recursion, our mission is to industrialize and transform the development of medicines by integrating data-driven insights and advanced analytics throughout the entire development lifecycle. As Executive Director, Asset Project Leadership, you will play a pivotal role ensuring advanced computational approaches and proprietary Recursion advantages are leveraged across the portfolio continuum, redefining traditional paradigms of drug development. As an asset project leader, you will work closely with functional lines to help craft, optimize and execute asset strategy, leveraging Recursion OS and Clin.Tech. insights to enhance program rigor and ultimately patient benefit. You will partner with preclinical, clinical and platform teams, promoting communication, alignment and optimization of functional processes to ensure delivery of portfolio goals & transformative medicines for patients. In this role, you will: - Collaborate with functional leads across the portfolio to ensure seamless alignment, communication and execution of data-driven strategy from preclinical discovery through clinical development - Drive and enable a culture of accountability, ownership and innovation aimed at delivering prioritized medicines to patient populations in need. - Partner with key stakeholders including finance and functional line leadership to ensure project resourcing is strategically prioritized and deployed for the most impactful programs & work streams. - Establish and refine processes that maximally leverage Recursion OS and ClinTech insights for advancement of the internal/external drug discovery and development portfolios - Propagate the Recursion mindset of radically changing lives by constantly seeking transformative improvements in how we advance innovative concepts for clinical benefit. The Team You’ll Join As Executive Director, Asset Project Leadership, you will work within the Development team, reporting directly to the Global Head, Project Leadership. The Development Team is an empowered, execution-minded group of clinical development professionals responsible for translating and industrializing Recursion’s innovative science to patients. Our team leverages cutting-edge clinical technology to accelerate drug development, optimize trial design, and enhance patient outcomes. From deploying AI-powered platforms for data analysis and predictive modeling to integrating real-world evidence and biomarker discovery tools, we ensure our clinical programs are both efficient and precise. The Experience You’ll Need - A PhD in life sciences or related scientific discipline with deep expertise in drug discovery & development - 10+ years of biotech/pharmaceutical industry experience with a proven track record of scientific asset project leadership, progressing drug discovery/development programs through stage-gates using data-driven decision making. - Expertise in cross-functional drug development and in-depth experience leveraging computational approaches to optimize assets. - Deep technical expertise in oncology, s
Datacenter Networking Technician, AI Compute Deplo...
About the Team: OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. Our Stargate program develops and deploys massive, state-of-the-art data center campuses in partnership with industry leaders today—and through future OpenAI infrastructure projects tomorrow. We design for scale, speed, and reliability, and we need experienced technicians who can translate network blueprints into physical reality. About the Role: We are seeking a Senior Data Center Networking Technician who thrives in fast-moving build environments and is eager to roll up their sleeves during active datacenter deployments. Your first assignment will focus on the physical bring-up of network infrastructure at a large partner-operated campus, collaborating with partner teams and their delivery vendors to achieve agreed performance and reliability targets. As that campus reaches steady state, you will transition to lead network deployment for future OpenAI data center projects, defining standards and guiding implementation across multiple locations. Candidates must be able to sit onsite in Abilene, Texas 5 days per week Key Responsibilities - Serve as OpenAI’s technical lead technician during the current campus build, partnering with internal engineers and external contractors on design reviews, installation plans, and acceptance criteria. - Spend significant time on the data-center floor performing inspections, assisting with cable routing/termination when needed, conducting fiber testing (OTDR, power levels, continuity), and resolving installation challenges in real time. - Troubleshoot and optimize cabling routes, patching, and equipment turn-up to ensure clean, reliable handoff to network operations. - Contribute to design discussions and peer reviews for structured cabling and physical network layouts, providing practical field feedback to engineering teams. - Develop repeatable engineering standards, as-built documentation, and deployment playbooks to accelerate future OpenAI campuses - Transition to hands-on design and deployment leadership for upcoming OpenAI data center expansions, owning network physical-layer deployment from design through commissioning. Qualifications - Have 7+ years of experience in large-scale datacenter network deployment, structured cabling, or physical-layer installation. - Possess deep knowledge of fiber/copper plant design, cabling standards, and hyperscale network best practices. - Excel in field work while applying seasoned technical judgment to solve complex installation and testing issues. - Adapt quickly to changing build conditions and enjoy learning emerging networking technologies. - Communicate clearly with construction, engineering, and operations teams to drive projects to completion. - Are willing to be based at a partner campus during the initial build phase and to travel to future OpenAI data center projects. Preferred Skills - Exposure to automation tools (Ansible, SaltStack) or scripting (Python, Shell) for configuration or documentation. - Experience with hyperscale Clos fabrics or large-scale network design. - Familiarity with routing and switching concepts (BGP, OSPF, EVPN/VXLAN) and basic Linux/network troubleshooting. - Industry certifications such as BICSI, CCNA/CCNP, or equivalent. 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 Machine Learning Engineer, Ads
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. With Roblox’s daily active users growing at a record pace, we are seeking experienced machine learning engineers who thrive on solving complex challenges and designing scalable, ground breaking solutions. In this role, you will develop deep learning-based models for performance advertising business. Your work will lay the foundation to deliver effective performance ads to our users, and more business values to our advertisers. You will build innovative machine-learning solutions to power ad ranking algorithms, and personalized advertising experiences. With our ads system still in its early stages, this is a unique opportunity to shape and develop a world-class, ML-driven advertising platform from the ground up. You Will: - Drive the design and implementation of machine learning solutions for ad ranking algorithms. - Design and implement large scale recommendation models - Author specs for new features and improvement - Collaborate with other teams within Roblox to make sure we are building products with a community first approach. - Balance researching new technologies with a practical approach to accomplish the research efforts into the Roblox products - Communicate with the industry and communities where applicable and be ambassador for Roblox. You Have: - You have 5+ years of experience designing and building scalable machine learning solutions to solve real-world production use cases. Experienced with transformer based model training, inference, and product integration are a plus. - A BS in Computer Science or a related discipline, advanced degrees are a definite plus. - You have initiated and facilitated challenging technical decisions across multiple teams and organizations. - While deeply technical, you always start with the needs of the user, whether they are Roblox users or internal engineers. - You take a creative and strategic approach to solving hard problems. You simplify the complex. You bring in fresh ideas from new places. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary
Senior AI Designer
Reporting to Lead Gameplay Designer Job Title Senior AI Designer Department Game Design/Scripting Location Brighton Who We Are Hangar 13 is an internal 2K development studio that creates influential AAA video game experiences across all major platforms. The studio has three locations around the world: Brighton (UK), Brno & Prague (Czech Republic), working collaboratively as one team. Each of our locations provides the opportunity to work with some of the most talented developers in the industry, on creatively challenging and exciting projects, in a diverse and welcoming environment. Our focus is on making the highest quality games with sustainable, healthy development plans; to tell stories that engage players through worlds and experiences that keep them hooked from start to finish. We strive to be a studio where our team members know they can make a difference and grow professionally alongside creating games they are proud of. What We Need Hangar 13 is in search of an experienced and highly skilled AI Designer who has a passion for creating engaging AI Systems and Behaviours that provide great gameplay and help sell the fantasy of the game. You enjoy analyzing AI and Player behaviours and want to create novel gameplay experiences. What You’ll Be Doing: - Own the feature development, design, and implementation of complex AI behaviors and systems for both combat and non-combat NPCs, from prototype through shipping - Design and implement new character archetypes and their associated abilities and logic, ensuring they fit the game's vision and offer novel gameplay experiences - Drive cross-discipline collaboration within feature pods (Engineering, Animation, Gameplay) to implement, tune, and balance AI systems and player encounters - Ensure player clarity by designing behaviors that clearly communicate AI intention, enabling players to understand and plan their actions accordingly - Analyze, validate, and incorporate feedback from team members and external user testing to continuously refine the AI experience. - Develop and evangelize best practices for AI content creation and system utilization across the entire design team - Author and maintain high-quality design documentation for owned features and core AI systems. What We’re Looking For: - Passion for creating complex, balanced AI systems and linking those to desired player experiences - Keeps up to date with current industry trends, features and techniques related to the exe
Applied AI Engineer, Plugins
About the Team The Ecosystem Applied AI Engineering team supports strategic partners as they build high-quality technical integrations into ChatGPT and Codex. Our goal is to create products users depend on, drive adoption and retention, and build an ecosystem where partners win when OpenAI wins. About the Role We are looking for an Applied AI Engineer to help strategic partners design, build, evaluate, submit, launch, and maintain high-utility plugins for ChatGPT and Codex. This is a hands-on, partner-facing product engineering role for someone who can contribute to the platform itself, lead sophisticated partner engagements, and translate ambiguous product needs into production-ready integrations. You will work across partner product and engineering teams and OpenAI's product, engineering, partnerships, legal, policy, design, and go-to-market teams. You will identify the right use cases, prototype and review implementations, run evaluations, debug issues across systems, guide partners through submission and review, and support launch and post-launch iteration. The best person for this role moves fluidly between code, product judgment, project leadership, and clear communication with engineers and executives. This role is a fit for a product minded engineer who wants to stay close to users and partners while still going deep on code, reliability, evaluations, and developer experience. The goal is to help partners ship plugins that are not merely technically functional, but genuinely useful in ChatGPT and Codex. This role is based in our San Francisco office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own the technical partner journey for priority B2B plugins—from pitch and readiness assessment through architecture, build, evaluation, submission, launch, and ongoing maintenance. - Identify strong plugin use cases, define crisp user journeys and expected behaviors, and help partners focus on workflows where ChatGPT or Codex can create meaningful user value. - Write production and sample code, build prototypes and reference implementations, and create the technical guidance, evals, launch checklists, and debugging tools that move partners from concept to production. - Debug API contracts, OAuth/login, tool invocation, latency, retries, rate limits, observability, data model, and user-experience issues across partner and OpenAI systems. - Review partner architectures and implementation plans for API design, scopes and permissions, data handling, safety, privacy, reliability, and long-term maintainability. - Contribute targeted fixes and improvements to ChatGPT, Codex, and the plugins platform, including APIs, SDKs, docs, examples, internal tooling, partner debugging workflows, and launch guardrails. - Work with product, engineering, design, partnerships, legal, policy, support, and go-to-market teams to make partner launches smooth and repeatable. - Bring structured signal from partners back to product and engineering, and turn patterns from successful launches into reusable playbooks, examples, platform requirements, and implementation guidance. You might thrive in this role if you: - Have 4-6 years of professional software engineering experience and are strong enough technically to contribute to the platform itself while still enjoying hands-on coding. - Have built and operated production APIs, backend services, developer platforms, apps, plugins, connectors, or integrations and can reason across frontend, backend, auth, reliability, privacy, evaluations, and UX constraints. - Bring strong product sense and can distinguish a plugin that “works” from one that will be genuinely useful to users. - Communicate clearly with external engineers, product leaders, executives, and internal cross-functional stakeholders. - Can make ambiguous partner ideas concrete through runnable prototypes, API contracts, technical specs, and pragmatic implementation guidance. - Are comfortable reading unfamiliar code, making targeted platform changes, and debugging distributed systems with logs, traces, metrics, and experiments. - Care deeply about user trust, privacy, data handling, and product quality in AI-powered experiences. - Balance urgency with judgment and can keep launches moving while staying precise about details that matter. Preferred qualifications: - Experience with OAuth/login flows, API design, webhooks, schemas, rate limits, observability, SDKs, and production launch operations. - Prior customer-facing or partner-facing engineering experience, including leading technical calls, navigating ambiguity, and helping external teams ship production software. - Familiarity with AI products, LLM APIs, tool calling, MCP, ChatGPT or Codex surfaces, developer platforms, or marketplace ecosystems. - Comfortable making targeted changes across backend services, frontend surfaces, SDKs, docs, internal tools, or monorepo codebases when needed. - Strong written communication skills, including docs, implementation notes, launch plans, and partner-facing technical guidance. 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.
Software Engineer, Model Inference
About the Team Our Inference team brings OpenAI’s most capable research and technology to the world through our products. We empower consumers, enterprise and developers alike to use and access our start-of-the-art AI models, allowing them to do things that they’ve never been able to before. We focus on performant and efficient model inference, as well as accelerating research progression via model inference. About the Role We are looking for an engineer who wants to take the world's largest and most capable AI models and optimize them for use in a high-volume, low-latency, and high-availability production and research environment. In this role, you will: - Work alongside machine learning researchers, engineers, and product managers to bring our latest technologies into production. - Work alongside researchers to enable advanced research through awesome engineering. - Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our model inference stack. - Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues. - Optimize our code and fleet of Azure VMs to utilize every FLOP and every GB of GPU RAM of our hardware. You might thrive in this role if you: - Have an understanding of modern ML architectures and an intuition for how to optimize their performance, particularly for inference. - Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. - Have at least 5 years of professional software engineering experience. - Have or can quickly gain familiarity with PyTorch, NVidia GPUs and the software stacks that optimize them (e.g. NCCL, CUDA), as well as HPC technologies such as InfiniBand, MPI, NVLink, etc. - Have experience architecting, building, observing, and debugging production distributed systems. Bonus point if worked on performance-critical distributed systems. - Have needed to rebuild or substantially refactor production systems several times over due to rapidly increasing scale. - Are self-directed and enjoy figuring out the most important problem to work on. - Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. 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 Data Scientist, ML (Credit Risk)
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Credit Card business team's mission is to shape Robinhood’s vision in the credit and banking space by delivering smart, customer-focused financial solutions. Our team is dedicated to reshaping the credit landscape and redefining the way people interact with financial services daily. We leverage cutting-edge analytical tools and diverse datasets to build deep understandings of consumer credit behaviors. We aim to make financial services accessible to everyone, building programs that support Robinhood’s broader goals! As a Staff Data Scientist, you will build credit risk models that allow us to better serve our customers and make responsible lending decisions. Credit models are at the heart of all lending decisions. These models will drive decisions ranging from approve/decline, line assignment at origination and future credit limit increases. You will leverage traditional and non-traditional data sources to build highly predictive risk models. You will own the full lifecycle of model development from data prep, model building to model deployment. This role is based in our Bellevue, WA, Menlo Park, CA, or Washington, DC office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you'll do - Build credit risk models for customer acquisitions (credit approval and credit limit assignment) and customer management - Collaborate with credit analysts and product managers to understand the business problem and deliver appropriate models to solve them - Create rich datasets leveraging both traditional and non-traditional data sources. Work on innovative tools to generate powerful features that boost models - Deploy, maint
GTM Strategic Initiatives 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. POSITION OVERVIEW The GTM Strategic Initiatives Lead designs and runs the operating system that helps Sales execute consistently and scale efficiently. With Sales as the primary “end customer,” this role turns GTM strategy into durable initiatives, enablement, process, and tooling that improve rep productivity, pipeline conversion, forecasting accuracy, and retention/expansion outcomes. This role serves as the cross-functional program owner across Sales, RevOps, Marketing, Finance, Product, and Engineering—building repeatable motions (e.g., new product launches, packaging/pricing rollouts, territory and coverage changes) and the change-management backbone that makes them land in the field. Success looks like: clear decisions, tight execution, measurable adoption, and sustained performance improvements. CORE PILLARS OF RESPONSIBILITY 1) GTM PROGRAM MANAGEMENT (END-TO-END OWNERSHIP) - Own the end-to-end program lifecycle for strategic GTM initiatives: define the problem, align stakeholders, build the plan, run execution, measure impact, and operationalize what works. - Translate leadership priorities (e.g., new segments, new products, new channels, pricing/packaging changes) into sequenced program roadmaps with milestones, owners, risks, and decision points. - Establish a standardized launch framework for Sales-facing initiatives (readiness, enablement, comms, instrumentation, and post-launch review). 2) SALES-FIRST OPERATING RHYTHM & FIELD ENABLEMENT - Build and maintain a cross-functional operating cadence that keeps the field aligned: GTM planning rituals, initiative reviews, launch readiness checkpoints, and decision-making forums. - Partner with Sales Enablement and frontline leaders to convert strategy into field-ready artifacts: plays, talk tracks, qualification and discovery frameworks, battlecards, objection handling, and deal desk workflows. - Create adoption loops: define what “good” looks like, monitor usage, capture feedback from the field, and iterate quickly. 3) GTM STRATEGY EXECUTION, LAUNCH READINESS, AND FEEDBACK LOOPS - Translate GTM strategy into clear “plays” and execution plans that span product, marketing, and sales—connecting positioning, packaging/pricing, and routes-to-market into one coherent motion. - Partner with Product, Marketing, and Customer Success to ensure launches are field-ready: messaging, enablement, asset readiness, rollout sequencing, and support coverage. - Build closed-loop feedback mechanisms from the field and customers back into roadmap and go-to-market iteration (win/loss insights, qualitative field feedback, adoption signals). 4) INITIATIVE IMPACT MEASUREMENT - Create measurement frameworks
Staff Software Engineer - AI Platform Team
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Staff Software Engineer on the AI Platform team within the Platform group, you'll build and operate the LLM and agent infrastructure that every team at Coinbase depends on. This team owns the company's single path to large language models and the full agent lifecycle: build, deploy, run, observe, and improve. You'll lead multi-quarter technical initiatives across the platform, from gateway and runtime systems to knowledge bases and applied AI agents, directly shaping how Coinbase scales AI across the organization. What you'll do: - Own the architecture and delivery of core platform systems including the LLM Gateway (60+ models, auth, PII redaction, fallbacks, cost optimization), AI Hub, and agent runtime with microVM sandboxes and governed MCP gateway - Drive the design and implementation of Knowledge Base infrastructure, connecting data sources to auto-provisioned vector and markdown stores queryable by any agent - Lead AI FinOps capabilities including spend attribution, governance, and cost optimization across all AI workloads company-wide - Partner across engineering, security, legal, finance, product, and external partners at frontier labs and major cloud providers to ship high-impact platform capabilities - Build evaluation and observability tooling including LLM-as-judge harnesses, full tracing, and feedback loops that let subject matter experts refine production agents - Shape applied AI strategy by embedding with teams to build production agents, applying fine-tuning and traditional ML where it outperforms prompting Required Skills and Experience: - 8+ years of software engineering experience with at least 3 years building ML/AI infrastructure, LLM systems, or distributed platform services at scale - Demonstrated ability to lead multi-quarter, Staff-level initiatives end-to-end, from technical design through production operation, with measurable platform-wide impact - Deep expertise in LLM orchestration patterns, agent frameworks, vector databases, and model serving infrastructure across multiple providers - Proven track record of cross-functional partnership with security, legal, and product teams to ship governed, production-grade AI systems - Fluency in Python and at least one systems language (Go, Rust, or C++), with production experience building APIs, microservices, and runtime environments - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Public Blog Posts
Copy Lead, Claude
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 Copywriter with a blend of agency advertising background and in-house experience. You can concept and ship campaigns, have experience across categories and product types, and know how to write for audiences that bring tension to the room. Ideally you've worked on a brand where trust itself was the line to walk. At minimum, you've written for specific audiences where the easy, consumer-shiny line was the wrong one, and found something more honest that still moved people. This role sits within the Creative Studio and leads copy for brand campaigns for Claude. You'll partner with art directors and designers to concept at the highest level, and carry the work all the way down to the last headline in execution. Whether the starting point is a fully fleshed brief or just an idea, you know how to build the work out from there. You'll also work closely with our Head of Copy to keep evolving Claude's voice and tone through the campaign lens. That means your day-to-day writing isn't just output, it's input into how the brand voice grows. The guidelines are still in growth mode, and Claude's voice flexes across other audiences and parts of the business, so you'll have a foot in both worlds: shipping campaign work and shaping the broader writing system. Responsibilities - Lead copy for Claude brand campaigns end to end: campaign platforms, manifestos, headlines, film and audio scripts, OOH. - Work from any starting point, from a fully fleshed brief to just an idea, and push the work forward. - Write with nuance for audiences that bring real tension to the subject: calibrate claims, meet skepticism head-on, and earn trust without flattening the idea or the voice. - Partner cross-functionally with brand marketing, media, product marketing, and comms to get campaign work shipped, with the independence to drive it and the collaboration to make it better. - Understand how the Claude voice flexes across the rest of the business, including enterprise, developer, and product, and keep campaign work coherent with the whole. - Build on Claude's voice and tone foundations as you go, and feed what campaign work teaches you back into the guidelines. - Hold the bar through production: scripts in the edit, lines in the layout, copy through legal and review without losing what made it great. You may be a good fit if you - 12+ years of experience with a portfolio rooted in campaign work, showing concept development and execution across multiple channels and formats. - Have worked both in-house and at agencies, across a variety of companies and product types, and can speak to what each side taught you. - Have a strong advertising portfolio: brand campaigns executed with high craft across film, OOH, social, and digital. - Think conceptually and build while you go. You've been in startup mode, you can start from the smallest of briefs, and you don't need a finished strategy to make progress. - Push beyond the brief when you're given one, and bring back something better than what was asked for. - Have written
Staff Research Engineer, Discovery Team
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 Team Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. Our team likes to think across the whole model stack. Currently the team is focused on improving models' abilities to use computers – as a laboratory for long horizon tasks and a key blocker to many scientific workflows. About the role As a Research Engineer on our team you will work end to end, identifying and addressing key blockers on the path to scientific AGI. Strong candidates should have familiarity with language model training, evaluation, and inference, be comfortable triaging research ideas and diagnosing problems and enjoy working collaboratively. Familiarity with performance optimization, distributed systems, vm/sandboxing/container deployment, and large scale data pipelines is highly encouraged. Join us in our mission to develop advanced AI systems that are both powerful and beneficial for humanity. Responsibilities: - Working across the full stack to identify and remove bottlenecks preventing progress toward scientific AGI - Develop approaches to address long-horizon task completion and complex reasoning challenges essential for scientific discovery - Scaling research ideas from prototype to production - Create benchmarks and evaluation frameworks to measure model capabilities in scientific workflows and computer use - Implement distributed training systems and performance optimizations to support large-scale model development You may be a good fit if you: - Have 8+ years of ML research experience - Are familiar with large scale language model training, evaluation, and inference pipelines - Enjoy obsessively iterating on immediate blockers towards longterm goals - Thrive working collaboratively to solve problems - Have expertise in performance optimization and distributed computing systems - Show strong problem-solving skills and ability to identify technical bottlenecks in complex systems - Can translate research concepts into scalable engineering solutions - Have a track record of shipping ML systems that tackle challenging multi-step reasoning problems Strong candidates may also have: - Expertise with performance optimization for language model inference and training - Experience with computer use automation and agentic AI systems - A history working on reinforcement learning approaches for complex task completion - Knowledge of containerization technologies (Docker, Kubernetes) and cloud deployment at scale - Demonstrated ability to work across multiple domains (language modeling, systems engineering, scientific computing) - Have experience with VM/sandboxing/container deployment and large-scale data processing - Expe
Staff + 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 reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. Key responsibilities - Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide - Develop resilient, flexible systems that adapt in real time to real world events - Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators - Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads - Build and operate production-grade deployment pipelines for releasing new models to users - Provide high-performance inference infrastructure that enables researchers to develop next-generation models - Integrate new AI accelerator platforms and support inference for new model architectures Minimum qualifications - Significant software engineering experience, particularly with distributed systems - Results-oriented, with a bias towards flexibility and impact - Willingness to pick up slack, even if it goes outside your job description - Desire to learn more about machine learning systems and infrastructure - Thrive in environments where technical excellence directly drives both business results and research breakthroughs - Care about the societal impacts of your work Preferred qualifications - Experience with high-performance, large-scale distributed systems - Experience implementing and deploying machine learning systems at scale - Experience with load balancing, request routing, or traffic management systems - Familiarity with LLM inference optimization, batching, and caching strategies - Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure) - Proficiency in Python or Rust Representative projects - Designing intelligent routing algorithms that optimize request distribution across many accelerators in different enviro
Member of Technical Staff (Offensive Security Engi...
Perplexity is seeking a highly skilled, experienced and hands-on Offensive Security Engineer to join our dynamic security team, taking an adversarial approach to hardening Perplexity's infrastructure, applications, and AI systems. You'll plan and execute red team operations, penetration tests, and attack simulations across our cloud infrastructure, web and mobile applications, AI/ML pipeline, and corporate environment—finding real vulnerabilities before adversaries do and working directly with engineering teams to drive remediation. Responsibilities - Plan and execute red team and purple team engagements simulating advanced threat actors across cloud infrastructure (AWS, Kubernetes), endpoints, and application surfaces - Conduct continuous penetration testing of web applications, APIs, mobile clients, browser extensions, cloud infrastructure, and internal services - Assess AI/ML-specific attack surfaces including prompt injection, model exfiltration, agent abuse, tool-use exploitation, and MCP security boundaries - Develop and maintain custom offensive tooling, exploits, and automation to improve the efficiency and coverage of security testing - Perform open-scope adversary simulations that test detection and response capabilities end to end, collaborating closely with the defensive security team - Drive threat modeling sessions with engineering teams to identify and prioritize attack vectors in new features and architectures - Deliver clear, actionable findings to both technical and executive audiences; partner with engineering to validate remediations - Contribute to the security of CI/CD pipelines, supply chain integrity, and secrets management through offensive assessment - Stay current on emerging attack techniques, vulnerability research, and adversary tradecraft; bring external perspective into Perplexity's security strategy Qualifications - 5+ years of hands-on experience in offensive security, red teaming, or penetration testing - Deep technical expertise in at least two of: cloud security (AWS/GCP/Azure), web/API application security, Kubernetes and container security, macOS/Linux endpoint security, network penetration testing, or CI/CD pipeline security - Track record of discovering impactful vulnerabilities or developing novel attack techniques in production environments - Strong programming and scripting skills in Python, Go, or similar languages; comfortable writing custom tooling and exploits - Experience with industry-standard offensive tools (Burp Suite, Cobalt Strike / Sliver / Mythic, Metasploit, BloodHound, nuclei, etc.) and ability to operate beyond them - Excellent written and verbal communication; able to translate complex technical findings into clear risk narratives - Experience assessing AI/ML systems, LLM applications, or agentic workflows for security vulnerabilities - Bonus: Published security research, conference talks (DEF CON, Black Hat, BSides), CVE credits, or meaningful bug bounty contributions
Software Engineer, Backend
ABOUT THE ROLE We are looking for a talented and motivated Backend Engineer to join our team. You will be responsible for building and maintaining scalable, high-performance backend systems that power our products. Collaborating with designers, data scientists, and engineers, you'll play a key role in conceptualizing, designing, and delivering robust and efficient backend solutions. WHAT YOU’LL DO - Design, develop, and maintain scalable backend services that support our applications and infrastructure. - Implement secure and efficient APIs to support frontend applications and third-party integrations. - Optimize system performance, reliability, and scalability through effective architecture and engineering best practices. - Work closely with product managers, data analysts, and frontend engineers to develop backend solutions that align with business and user needs. - Ensure high availability, fault tolerance, and performance of backend systems. - Monitor system health, troubleshoot issues, and implement improvements to enhance efficiency and stability. - Maintain security best practices to protect user data and system integrity. - Stay up to date with industry trends and emerging technologies in backend development and distributed systems. WHO YOU ARE - 5+ years of experience in backend development, building scalable and reliable applications. - Strong proficiency in programming languages such as Python, Java, or Go. Python and Go are preferred. - Experience with database technologies such as PostgreSQL, MySQL, or NoSQL solutions. - Familiarity with designing and integrating APIs, including REST and GraphQL. - Understanding of distributed systems, microservices architecture, and cloud platforms (AWS, GCP, or Azure). - Experience with containerization and orchestration tools like Docker and Kubernetes. - Strong problem-solving skills and the ability to optimize system performance and reliability. - Excellent communication skills and the ability to work effectively in a collaborative environment. Preferred Qualifications - Experience with event-driven architectures and messaging systems (Kafka, RabbitMQ, etc.). - Knowledge of caching strategies and performance optimization techniques. - Experience working on large-scale, high-traffic applications. - Familiarity with CI/CD pipelines and DevOps best practices. - Exposure to machine learning or data-driven applications. ABOUT CHARACTER.AI Character.AI http://Character.AI empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit Character.AI http://Character.AI every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures. In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach. Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI! At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success.
Account Manager - APAC
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're looking for a self-starter, highly energetic Account Manager, who is passionate about voice technology. We don't just sell a product, we're building a community of highly engaged people that want to partner with us for the long term. We love working with our customers to support and guide them through their voice AI journey with a focus on ultimately driving long term value for them. Our Account Management team is at the forefront of this. In this role you will: - Be part of an early Account Management team with endless opportunities for impact. You'll partner with the team to help develop a scalable account management playbook and framework that supports our customers in the APAC region. - Build and maintain strong relationships with a book of commercial and enterprise clients in the APAC region — you'll specifically be managing customers across Southeast Asia and North Asia. - Play a key role in driving long term adoption of multiple products. - Monitor customer usage and adoption of our products to identify areas for improvement or revenue expansion. - Own expansion and renewal of accounts within your book of business. - Measure and improve customer satisfaction & experience. - Own your account management KPIs (NRR/GRR) and track against the company goals. Requirements - 3-7 years of previous experience in Account Management or Customer
Senior Support Engineer - San Francisco
About the Team The Technical Support team is responsible for ensuring that developers and enterprises can reliably build mission critical solutions using OpenAI models. We provide technical guidance, resolve complex issues and support customers in maximizing value and adoption from deploying our highly-capable models. We work closely with Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. We think from an automation-first mindset and leverage the latest in AI to scale our support operations. Join the Senior Support Engineering (SSE) team at OpenAI and help shape the future of Technical Support in the age of AI. About the Role We are looking for a Senior Support Engineer to collaborate directly with our strategic enterprise accounts and product teams, helping solve some of the most difficult problems faced by our Customers. You will be part of the best technical troubleshooting team at OpenAI, and our Customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment. As a Senior Support Engineer, you will design and run operational processes to monitor our top strategic customers and a 24x7 response team. You’ll work closely with our Infrastructure and Engineering teams to deliver the best possible experience to customers at scale. Working directly with our most strategic Customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI API platform. The nature of this role will be low volume, high difficulty. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Be among the foremost technical and troubleshooting experts for our API platform at OpenAI. You are the last line of defense before the core Engineering team. - Proactively identify and implement opportunities to scale support operations by leveraging automation and advancements in AI technologies. Contribute to shaping the future of technical support in an AI-driven era. - Configure and use advanced monitoring and alerting workflows to proactively detect customer impacting issues in real time. - In partnership with engineering, contribute to reliability reviews and preparedness for new features, launches, or strategic customer requirement updates. Ensure that operational readiness (monitoring, alerting, and fallback plans) is in place for any such changes. - Design and refine incident response processes and documentation across strategic customers, engineering and support teams. - Analyze operational metrics and incident RCAs to identify areas for improvement. Proactively recommend and implement enhancements to monitoring dashboards, alert configurations, and support workflows. - Provide support coverage during holidays and weekends based on business needs. You might thrive in this role if you: - Have a Bachelor’s degree in Computer Science or a related field. A strong software engineering foundation is important for this role’s success. - Have 8+ years of experience in technical operations roles such as SRE/NOC, designing monitoring systems and resolving production issues in fast-paced and mission-critical environments. A strong track record of troubleshooting complex technical problems at the systems level. - Have deep familiarity with modern monitoring, alerting, and observability practices. Hands‑on experience setting up or managing metrics, logging, and tracing for distributed systems (e.g., understanding of SLIs/SLOs, alert tuning, dashboard creation). - Have proven experience leading incident response for high‑severity outages or service disruptions. Able to perform real‑time incident coordination, root cause analysis, and drive follow‑ups (post‑mortems, action items) to prevent recurrence. Knowledge of industry best practices for incident management and fault diagnosis. - Have strong skills in scripting or software engineering (e.g., Python or similar) to automate repetitive tasks and integrate tools. - Have solid understanding of cloud infrastructure and distributed systems fundamentals. Comfortable working with cloud services, load balancers, databases, and containerized applications. - Are effective at working cross‑functionally in a high‑trust environment. Strong communication skills to explain technical issues and resolutions to both engineering and non‑technical stakeholders. You can coordinate efforts across teams and are comfortable providing updates in the midst of an ongoing incident. LI-NM2 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, People Products
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 In case you hadn’t noticed, Anthropic is growing fast. Really, really fast. The People Products team exists to support Anthropic’s mission by defining the blueprint for AI at work. We help hire the best person in the world for every job, ensure manager effectiveness, ramp new hires successfully, and ensure that we apply first principles thinking in how we shape Anthropic’s culture through the tools we build. We cover the entire employee lifecycle from hiring to onboarding, teamwork, and promotions. You’ll work directly with Claude, with access to capabilities no external team has, on problems that are genuinely unsolved. You’ll move fast — prototype to production in days or weeks. We believe in cross-functional thinkers who can reason across product, design, and engineering. You’ll be given high autonomy, own your decisions, and ship constantly. If you’ve experienced the pain of bad people practices and want to be the person who fixes them at the most consequential AI company in the world, this is that job. Responsibilities - Build full-stack end-to-end across the People Products portfolio. - Design and implement AI-native workflows: build tools, evals, prompts, and products. You’ll help define what is possible in applied AI for people processes. - Work directly with internal stakeholders — HR teams, recruiters, managers — to understand problems, gather feedback, and iterate quickly without waiting for requirements to be handed down. No gatekeeping, you are expected to talk to your customers. - Make product and architecture decisions independently in a low-structure environment: knowing when to cut scope, when to ship, and when to ask for input. - Contribute ideas for how the team works, what it builds, and where applied AI can have the most leverage in people workflows. You Might Be a Good Fit If You: - Have 8+ years of relevant experience as a Fullstack or product engineer, with a track record of leading complex, multi-month projects or teams as a tech lead or equivalent - Have shipped LLM-native features or applications. - Derive joy from hard work and the act of creation. - Are experienced enough to build big features independently, and make great architectural decisions along the way. - Are self-sufficient end-to-end: you can go from idea to production without needing a designer, PM, or architect to unblock you. - Move fast without cutting corners: you hold a high quality bar and know how to make smart tradeoffs under time pressure. - Engage directly with users and criticism: you’re comfortable talking to internal customers, hearing hard feedback, and incorporating it quickly. - Are genuinely mission-driven: you care about the intersection of AI and people practice
Director and Associate General Counsel, Compliance
Scale seeks a business-minded Director and Associate General Counsel, Compliance to lead Scale’s corporate compliance program. This role will set the legal standards, governance model, and escalation framework for the program, working closely with cross-functional partners to translate that guidance into practical workflows. This is a high-impact role for a lawyer who combines strong legal judgment with practical program execution in a fast-moving, high-visibility business. This role reports into our Senior Director and Associate General Counsel, Federal and Compliance. You Will: - Advise on anti-bribery and anti-corruption, conflicts of interest, gifts and entertainment, third-party risk, and other sensitive corporate compliance matters. - Lead or support privileged compliance investigations, remediation, and escalations, coordinating across Legal and with outside counsel where matters involve potential litigation or enforcement risk. - Develop practical compliance policies, workflows, training, and reporting processes that support Scale’s growth and IPO-readiness. - Mature Scale’s Enterprise Risk Management process, including risk assessment methodology, risk register governance, mitigation tracking, and leadership reporting. - Set legal standards for compliance operations, including hotline triage, sensitive matter review, policy governance, training requirements, and remediation escalation. - Partner across Legal, GRC, Security, Product, Engineering, Finance, People, Public Sector, and other business teams on compliance and IPO-readiness. - Represent Scale’s corporate compliance function with internal and external stakeholders, including customers, auditors, partners, and regulators. Ideally, you’d have: - JD and active bar membership in at least one U.S. jurisdiction. - 10+ years of legal experience across corporate compliance, investigations, regulatory counseling, GRC, internal controls, or related areas. - Experience building or scaling compliance programs in high-growth technology or similarly complex environments. - Strong experience with anti-bribery and anti-corruption, conflicts of interest, third-party risk, hotline governance, and privileged investigations. - Experience maturing ERM, policy governance, training, remediation tracking, risk reporting, and IPO-readiness or public-company compliance. - Strong judgment and communication skills, with the ability to work effectively across legal, technical, operational, and executive stakeholders. Nice to haves: - Experience with AI governance or regulation. - Familiarity with government contractor compliance, export controls, or industrial security. - Experience with multinational compliance programs, including Europe, the Middle East, Asia, and Latin America. 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 elig
GPT Infrastructure Lead
About the Team OpenAI’s Industrial Compute team is responsible for building and scaling large-scale compute capacity across first-party data centers, strategic partners, and industrial infrastructure environments. We focus on converting power, land, hardware, and operational execution into reliable compute capacity that can support frontier AI training and inference workloads. This team operates at the intersection of infrastructure delivery, hardware systems, utilities, supply chain, and capacity strategy—ensuring OpenAI can scale compute faster than traditional models allow. About the Role We are seeking a GPT Infrastructure Lead to drive the end-to-end conversion of industrial-scale infrastructure investments into usable token capacity for OpenAI workloads. In this role, you will own execution across complex compute programs where raw infrastructure capacity must be transformed into operational GPU throughput. You will coordinate across data center delivery, power, networking, hardware deployment, workload enablement, finance, and external partners to ensure capacity becomes productive tokens as quickly and efficiently as possible. This role is ideal for someone who can bridge physical infrastructure delivery with compute utilization outcomes. Success requires strong systems thinking, elite program leadership, and the ability to drive accountability across internal teams and strategic partners. In this role, you will - Lead GPT Infrastructure programs across industrial compute environments, including first-party and partner-owned capacity. - Convert delivered power, space, and hardware capacity into production-ready token throughput. - Build integrated execution plans spanning construction, power energization, rack deployment, networking, cluster readiness, and workload onboarding. - Partner with infrastructure engineering, hardware, networking, finance, supply chain, and operations teams. - Drive external providers, EPCs, OEMs, utilities, and strategic partners toward aggressive timelines. - Identify bottlenecks between physical delivery and usable compute output, then lead resolution. - Build operating cadences, dashboards, forecasts, and executive reporting for TaaS programs. - Develop repeatable deployment models for future industrial compute expansion. You might thrive in this role if you - Have led hyperscale infrastructure, data center, manufacturing, or industrial deployment programs. - Understand how power + hardware + networking + software combine into usable compute. - Can operate equally well with engineers, operators, executives, and external partners. - Are highly structured in ambiguous, fast-moving environments. - Know how to escalate intelligently and maintain momentum under pressure. - Can translate technical execution into business outcomes. Preferred Skills - Experience with GPU clusters, AI infrastructure, hyperscale data centers, or industrial technology programs. - Background in program management, operations leadership, capacity delivery, or strategic infrastructure execution. - Familiarity with utilities, construction, commissioning, networking, hardware deployment, or cluster bring-up. - Experience managing multi-billion-dollar infrastructure or capacity programs. - Strong executive communication and stakeholder management skills. 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.
Deputy Director, Digital Transformation and AI Pol...
Deputy Director, Digital Transformation and AI Policy & Advocacy at Bill & Melinda Gates Foundation. Femtech Insider network role. Industry tags: Business And Industrial, Charity, Education, Financial Services, Gender Equality, Global Development, Global Health, Health Care, Human Resources Hr, Impact Investing, Lending and Investments, Non-Profit. Skills: Advocacy, Public Policies, Risk Mitigation, Strategic Thinking, Stakeholder Engagement, Technical Assistance, Data System, Culturally Sensitive, Software Project Management. Locations: Seattle, WA, USA. Work mode: on site.
Community & Executive Escalations Program Manager
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. We are seeking an experienced Program Manager to be a founding member of a new pillar of our Operations organization: Community & Executive Escalations. This role is the front line of how Anthropic protects its reputation when high-stakes user issues surface on social media or arrive through executive channels. You'll be the person actively monitoring public conversations, triaging incoming escalations, opening and managing incidents, and running them to resolution alongside cross-functional partners. You'll help stand up the function from scratch and operate it day-to-day. The ideal candidate combines calm-under-fire judgment with sharp written communication and a bias toward action. Responsibilities: - Own incidents and executive escalations end-to-end during your coverage hours - Actively monitor public social channels for brand mentions, surfacing potential escalations and triaging them against defined criteria - Communicate crisply with internal stakeholders: brief executives on live situations, give Comms partners the facts they need, and keep incident channels useful and current - Write clear post-incident reports that capture what happened, what we did, and what should change—so the next escalation is easier than the last - Help iterate on the team's playbooks, response templates, escalation criteria, and SOPs based on what you learn running real cases - Spot patterns across escalations and surface them to the right partners (e.g., recurring product bugs masquerading as one-off complaints, messaging gaps that drive avoidable user frustration) You may be a good fit if you have: - 6+ years of experience in community operations, trust & safety operations, escalations, customer support escalations, or a related front-line operations role—ideally at a consumer or developer platform - Direct, hands-on experience running incidents or escalations: you've been the person in the channel paging on-call, coordinating the partners, and writing the post-mortem - Excellent judgment under pressure - Sharp written communication—you can brief a senior leader in three sentences and document an incident so the next responder can pick it up cold - Comfort coordinating across functions in real time and influencing partners without positional authority - Familiarity with social listening tooling and an instinct for how issues spread across public social platforms - A pattern-detection mindset—you spot the second-order issue beneath the first-order complaint and surface it to the right people - Comfort with ambiguity and a bias toward action; this team is brand new and you'll be helping define what good looks like as you operate - Excitement about protecting Anthropic's reputation and relationships at a moment when public attention on AI has never been higher The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that th
AI Applications Ops Lead, GPS
Role Overview Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector 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 a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international 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. You will: - Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies. - Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment. - Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability. - Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks. - Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again. - Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials. - Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases. Ideally, you have: - Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector. - Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI. - System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core. - Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools. - Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them. - Reliability: You understand that in the public sector, a model failure m
Revenue Partnerships
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 our first North America Solutions Partner Manager to build a high-impact ecosystem of solution partners across North America. You will be responsible for recruiting, enabling, and growing a network of solutions partners who build, integrate, and deliver innovative voice-AI experiences on top of the ElevenLabs platform. You will build joint GTM plans with key partners to drive partner sourced pipeline and revenue. This role is ideal for someone who combines strong partner management experience and who thrives in a fast-growing environment. REQUIREMENTS - 7+ years of experience in building and managing successful regional solutions partnerships in North America - Strong understanding of API-driven products and the ability to partner closely with engineering, product, and solutions teams - Ability to translate technical capabilities into clear customer and partner value propositions - A commercial mindset with experience driving partner-sourced and partner-influenced revenue through co-selling and joint GTM motions - Excellent relationship-building skills across partners, sales, solutions engineering, and product teams - Highly organized, data-driven, and comfortable operating in fast-paced, high-growth environments - Strong communication skills, with the ability to influence without authority - Passion for emerging AI technologie
Enterprise Account Executive
Perplexity is seeking a highly motivated and skilled Account Executive to join our small but mighty Enterprise team. In this role, you will be responsible for driving new business growth and fostering strong relationships with potential clients. This role is ideal for proactive sales professionals who thrive at the intersection of technology and business, and who want to shape the future of enterprise AI. Responsibilities - Drive new business by prospecting, pitching, and closing Perplexity Enterprise Pro solutions with large organizations - Diligently research prospects, develop account strategies, and execute outreach campaigns tailored to company and industry needs - Conduct high-impact product demonstrations and respond to RFPs and technical inquiries - Lead client engagement through the entire sales cycle—from initial presentation, technical evaluation, negotiation, to closing and onboarding - Build and nurture senior-level relationships across enterprise clients, championing Perplexity’s value proposition and customer outcomes - Collaborate closely with Product, Marketing, and Customer Success to ensure customer satisfaction and solution fit - Maintain up-to-date knowledge of Perplexity’s platform, industry trends, and competitor landscape - Meet or exceed individual and team revenue targets on a monthly and quarterly basis - Maintain accurate records of pipeline and account activity using CRM tools Qualifications - 5+ years of full-cycle SaaS sales experience, ideally with enterprise-level clients - Proven record of meeting or exceeding annual revenue targets in a high-growth environment - Skilled at complex sales cycles, tailoring messaging to different buyer personas and decision makers - Proven success outbound prospecting to large enterprise - Exceptional written and verbal communication; comfortable presenting to C-suite executives - Adept at identifying client pain points and mapping solutions that drive business value - Ability to collaborate effectively with both cross-functional teams and technical stakeholders - Experience with CRM systems (e.g. Salesforce) - Bachelor’s degree or equivalent experience The cash compensation for this role is $200,000-400,000 OTE based on experience level. Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.
Data Scientist
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 Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g., understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, and quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background. What you'll do We're looking for a variety of Data Scientists to partner with the Product, Finance, Payments, Security, Risk, Growth, and Go-to-Market teams. You'll work closely with a specific part of the business, playing a crucial role in optimizing our systems and leveraging data to make strategic business decisions. As Data Scientists at Stripe, it's our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics. 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 - PhD with 3 years, MS or MA with 6 years, or BS or BA with 8 years of data science or quantitative modeling experience - Proficiency in SQL and a computing language such as Python or R - Experience in working with cross-functional teams to deliver results - Ability to communicate results clearly and a focus on driving impact - A demonstrated ability to manage and deliver on multiple projects with a high attention to detail - Strong business acumen and experience in synthesizing complex analyses into actionable recommendations - Proficiency with AI tools to accelerate model development, analysis, and coding Preferred qualifications - Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and experimentation - Experience deploying models in production and adjusting model thresholds to improve performance - Experience designing, running, and analyzing complex experiments or leveraging causal inference designs - A builder's mindset with a willingness to question assumptions and conventional wisdom - Experience with distributed tools such as Spark, Hadoop, etc.</li>
Events Lead - APAC
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 India is one of our fastest-growing markets, and we're looking for a highly motivated, self-starter Events Marketer to lead the planning and execution of impactful events across India and the wider APAC region. Your work will play a key role in deepening ElevenLabs' presence, driving brand awareness, and generating high-quality pipeline in partnership with our India marketing lead and our GTM teams. In this role, you will own the full lifecycle of in-person owned events, third-party tech conferences, executive dinners, workshops, webinars, sponsorships, and strategic partnerships. You'll adapt and localize successful playbooks from our US and EU programs for the market, while also identifying new, high-impact opportunities unique to the region. You will collaborate closely with sales to target the right audiences, build invite strategies, and ensure strong event follow-through. You'll partner with marketing and develop event toolkits, content, and drive post-event analysis to measure success and optimize future activations. We're looking for someone who thrives in fast-paced environments, is comfortable managing multiple projects simultaneously, and brings creativity, operational excellence, and problem-solving to everything they touch. This is a high-ownership, high-autonomy role with the opportunity to build and scale ElevenLabs' event presence
Staff Software Engineer, Machine Learning Platform
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 Stripe processes over $1.9T in payments volume per year, which is roughly 1.6% of the world's GDP, for millions of customers from startups to enterprises. The tremendous amount of data makes Stripe one of the best places to do machine learning. While being an integral part of almost every product line at Stripe (e.g., Payments, Radar, Capital, Billing, etc.), we have lots of exciting opportunities to innovate in ML Platform at Stripe. The ML Platform team builds the platforms and services that enable ML engineers and data scientists across Stripe to take data and build features and models from prototype to production—reliably, at low latency, and at scale. Our scope spans ML training infrastructure, model serving and deployment, feature computation and online serving, observability and monitoring, and agentic AI capabilities. We work closely with product teams, data scientists, and platform infrastructure teams to build powerful, flexible, and user-friendly systems that substantially increase ML velocity across the company. What you'll do You'll serve as a technical lead across the ML Platform space and a key contributor to the evolution of the platforms that power Stripe's ML-driven products. As a Staff Engineer, you'll make decisions with a large impact on Stripe. You'll influence our investments and strategy while making our systems more reliable, secure, and a delight to use. You'll work cross-functionally with other technical staff, data science, product, and senior leadership to increase the impact of ML at Stripe. You'll help define the long-term strategy and lead the technical direction for the next generation of ML infrastructure that powers Stripe's ML-driven products. Responsibilities - Take ownership of end-to-end architecture and system design for large, complex projects across ML Platform. - Define technical direction for highly ambiguous projects, transforming complex user needs into long-lasting platform strategy. - Design system architectures for the most challenging ML Platform problems in one or more areas, including AI and ML workflow orchestration, scalable CPU and GPU compute infrastructure, model training, LLM fine-tuning, low-latency model inference, large-scale feature stores, real-time monitoring, and LLM and agent orchestration. - Turn high-leverage ideas into tangible, robust solutions that shape platform and product roadmap, combining technical excellence with creative problem-solving. - Scope and lead large projects with significant business impact, driving them from requirements through design, implementation, and production operation. - Work with ML engineers, data scientists, and product teams directly to translate their needs into functional requirements and scalable technical solutions. - Arbitrate critical decisions that balance competing priorities while meeting latency, reliability, cost, and security constraints. - Serve as a key engineering representative, engaging senior leaders across Stripe and advising the leadership team on key technical considerations related to the end-to-end ML lifecycle. -
Technical Program Manager, Infrastructure
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 the engine that powers our mission. Every breakthrough in AI safety research and every interaction users have with Claude depends on the systems we build and operate: massive clusters for training frontier models, production infrastructure serving millions of users reliably, and developer platforms that help engineers move fast without breaking things. As a Technical Program Manager for Infrastructure, you’ll work across multiple infrastructure domains to coordinate complex programs that have broad organizational impact. You’ll be solving novel scaling challenges at the frontier of what's possible, all while maintaining the security and reliability our mission demands. This role is ideal for someone who thrives in ambiguity and believes their job is to make everyone around them more effective. You’ll partner closely with engineering leadership to drive strategic initiatives while ensuring seamless coordination between research, engineering, and product teams. What you’ll do: Developer Productivity & Tooling - Drive cross-functional programs to improve developer environments, CI/CD infrastructure, and release processes that enable rapid innovation while maintaining high security standards - Coordinate large-scale migrations and platform modernization efforts across engineering teams - Partner with teams to measure and improve developer productivity metrics, identifying bottlenecks and driving systematic improvements - Lead initiatives to integrate AI tools into development workflows, helping Anthropic be at the forefront of AI-assisted research and engineering Infrastructure Reliability & Operations - Drive programs to establish and achieve reliability targets across training infrastructure and production services - Coordinate incident response improvements, post-mortem processes, and on-call rotations that help teams operate effectively - Establish metrics and dashboards to track infrastructure health, capacity utilization, and operational excellence Cross-functional Coordination - Serve as the critical bridge between infrastructure teams, research, and product, translating technical complexities into clear updates for a variety of audiences - Consult with stakeholders to deeply understand infrastructure, data, and compute needs, identifying solutions to support frontier research and product development - Drive alignment on priorities and timelines across teams with competing constraints You May Be a Good Fit If You - Have 5+ years of technical program management experience, with a track record of successfully delivering complex infrastructure programs in ML/AI systems or large-scale distributed systems - Have deep technical understanding of infrastructure systems—enough to engage substantively with engineers, identify technical risks, a
AI Support Engineer - San Francisco (Weekend Shift...
About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us. In this role, you’ll work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in one of the fastest-moving environments in technology. As AI adoption rapidly accelerates, the work you do will directly support mission-critical systems being built on OpenAI’s platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you’ll help define what world-class support looks like in an AGI-driven future. You’ll partner closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technology to transform how support operates at scale. Note: each person in this role will be expected to work a standard 5x8 work week, with 1 of the days covering weekend shifts each week (e.g., work weeks covering Tuesday - Saturday or Sunday - Thursday) You’ll be responsible for: - Working directly with customers to troubleshoot and resolve their most complex technical issues, including API failures, integration challenges, authentication errors, and production incidents. Providing end-to-end ownership through debugging logs, analyzing system behavior, reproducing issues, and delivering expert guidance. - Becoming a trusted expert on OpenAI’s products and platform, serving as a go-to resource for complex technical issues. - Serving as a critical escalation point and line of defense for complex technical issues, partnering closely with customers and Engineering teams to troubleshoot, resolve, and proactively prevent recurring problems while leveraging scripting and emerging AI capabilities to improve internal tooling and automate operational workflows - Taking learnings from resolving customer issues and creating our approach to scaling these solutions, partnering with Product and Go-To-Market teams. - Driving operational excellence by identifying opportunities for automation and AI-powered workflows, implementing scalable improvements that increase team efficiency, reducing manual effort, and elevating the overall support experience. - Providing occasional holiday and weekend support on call coverage, as needed, to support business and customer needs. You might thrive in this role if you have: - Have 8+ years of experience in User Operations, Engineering, Support Engineering or similar technical roles, ideally within high-growth tech startups or other fast-paced environments. - Are comfortable using emerging technologies (ie. Codex, ChatGPT, OpenAI API, etc.) to script or engineer code (e.g., Python) for automating repetitive tasks and integrating tools. - Have expert-level SaaS troubleshooting skills with the ability to rapidly understand new technologies and complex concepts. - Polished enterprise communication and are calm with high-stakes customers during live incident calls - Proven experience building strong relationships with customers and cross-functional partners to drive resolution to complex issues. - Exceptional critical thinker and problem solver with the ability to clearly communicate complex technical issues to both customers and internal teams. - Thrive in ambiguity, adapt rapidly to change, continuously learn, and proactively seek opportunities for growth. - Bring a humble, team first mindset, a genuine eagerness to help others, and the curiosity to quickly learn whatever knowledge is needed to help both your teammates and our customers succeed. - Bachelor’s degree in Computer Science, Computer Engineering, another relevant technical field, or equivalent practical experience. 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.
Member of Technical Staff (Software Engineer, Mone...
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and every action an agent takes is metered, budgeted, and settled through the billing platform this role owns. As a monetization engineer at Perplexity, you'll own the abstractions that let product teams ship new SKUs, run pricing experiments, and convert users into paying customers, without needing to understand billing internals. The usage-based billing system this team owns is foundational to Perplexity Computer and our agentic products: metering every agent action in real time, enforcing credit budgets, and settling costs across entirely new interaction models. You'll work across subscriptions, usage-based billing, and enterprise contracts to ensure every revenue path is reliable, observable, and easy to extend. Tech Stack: Python | Go | Stripe | PostgreSQL | AWS | Docker WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and own the billing platform and monetization systems that power Computer and every paid experience across Perplexity. - Lead features end-to-end, from problem definition through technical design, implementation, and launch, including the billing API abstractions that let product teams ship new SKUs, pricing models, and monetization experiments with minimal friction. - Build and operate the subscription, invoicing, and usage-based billing systems that serve millions of users across consumer and enterprise plans. - Hill-climb on reliability: tiered SLOs organized by customer impact, proactive monitoring, and alerting to catch revenue-affecting issues before customers do. - Partner closely with Finance, Data Science, Growth, Security, Support, and go-to-market teams to keep billing data accurate, auditable, and compliant, and to expand payment method coverage and optimize authorization rates globally. - Build internal tooling that empowers Support and Finance to diagnose and resolve billing issues quickly. QUALIFICATIONS - 4+ years of professional software engineering experience. - Direct experience building or scaling billing, payments, subscription, or monetization systems. - Deep familiarity with payment processors (Stripe, Square, etc.), including subscriptions, invoicing, disputes, refunds, and webhooks. - Demonstrated experience and appetite for building in-house billing solutions that rival leading best-in-class buy options. - Strong backend engineering skills in Python with the ability to reason about complex distributed systems. - Experience with relational databases (PostgreSQL) and making data-informed decisions to prioritize work. - Strong product judgment, you translate user and stakeholder problems into simple, effective technical solutions. - Self-motivated with strong ownership instincts, you ship major features ahead of schedule and drive improvements without asking for permission. - Track record of cross-functional collaboration with Finance, Support, or Growth stakeholders. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - 2+ years of hands-on experience with the Stripe APIs and SDKs. - Experience with usage-based or metered billing models, especially metering agent actions, tokens, or other non-traditional units. - Experience with Apple and Google Play in-app purchase billing. - Familiarity with growth experimentation and PLG/self-serve Saa
Firmware Engineer, RTOS, Consumer Devices
About the Team The Software Engineering Firmware team builds reliable, high-performance systems on custom hardware. We work closely with hardware engineers to design, optimize, and ship software that bridges cutting-edge devices and real-world constraints like memory, power, and latency. Our work spans early prototyping through product launch, ensuring that our embedded platforms are robust, efficient, and production-ready. About the Role As a Firmware Engineer , you will design, implement, and debug software for embedded devices. You’ll own low-level bring-up, write production C/C++ code, and partner closely with hardware teams to deliver reliable, high-performance systems. We’re looking for engineers with deep embedded expertise, strong debugging skills, and a passion for building systems that perform under real-world conditions. This role is based in San Francisco, CA . We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees. In this role, you will: - Design, implement, and debug software for embedded devices. - Contribute to defining software requirements, interfaces, and test plans. - Bring up and debug new boards. - Analyze performance, memory, and power profiles and implement optimizations. - Investigate field issues, perform root-cause analysis, and deliver robust fixes. - Foster good software engineering practices. You might thrive in this role if you: - Have deep experience shipping embedded systems (around 10+ years). - Are proficient in C and C++. - Are familiar with embedded toolchains, operating systems, and debugging tools. - Have experience with both rapid prototyping and scalable product development. - (Nice to have) Have experience with Zephyr RTOS. - (Nice to have) Have worked with networking/wireless stacks (BLE, Wi-Fi). - (Nice to have) Have experience with Linux kernel development. 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.
Manager, Data Science - AI Product
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The AI Products Data Science org is at the center of next generation products within Figma. With a charge to uplevel Figma’s use of data, the team works alongside other Data Scientists and Engineering to identify ways to implement and democratize new statistical methods, build data frameworks, and incorporate data within Figma’s product development process. The team contributes to the company’s goals by collaborating closely with product managers, engineers, and our finance team to uncover new opportunities, identify inefficiencies and recommend improvements through data-driven insights. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: - Lead, support, and grow a team of data scientists and data science managers with varied strengths and expertise focused on product strategy, internal tooling, and Impact measurement - Champion data quality, accessibility, and the democratization of data across the company - Establish trust within and across teams by creating accountability and a positive work environment in partnership with other leaders in the organization - Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact We'd love to hear from you if you have: - 5+ years of experience managing and leading high-output data science teams, including scaling teams in high-growth environments - 7+ years of experience in Analytics, Data Science, or a related field, with experience working on AI tools or collaborative software - Strong foundation in statistical methods, experimentation, and/or forecasting - Technical curiosity with a willingness to continuously learn and grow alongside your team - A demonstrated desire to build an inclusive and diverse culture While not required, it’s an added plus if you also have: - Experience owning 0 to 1 product areas - Growing junior data science leaders At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the
Staff Machine Learning Systems Engineer, Embedding...
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 . The Embedding Machine Learning Platform team is at the forefront of building highly expressive machine learning models that power Reddit’s recommendation systems. We go beyond standard retrieval and ranking architectures, leveraging modern deep learning approaches and scalable model designs to enhance personalization across Reddit’s ecosystem. Our work impacts content discovery, user engagement, and platform growth at a massive scale. How You'll Have Impact As a Staff Machine Learning Engineer , you will own the technical direction for large-scale machine learning models, guiding the development of advanced deep learning architectures and high-impact ML systems. You will partner with leadership to define ML roadmaps, drive innovation in scalable model design and training approaches, and ensure efficient, reliable deployment of ML models in production. This role offers an opportunity to influence key AI-driven systems across Reddit while mentoring and uplifting the team’s technical capabilities. What You’ll Do - Architect and lead the development of next-generation, large-scale machine learning techniques. - Define and execute the ML strategy, identifying opportunities to enhance personalization and recommendation quality across Reddit. - Lead research initiatives on scalable machine learning systems and real-time model adaptation, bringing cutting-edge advancements into production. - Partner with ML infrastructure teams to build high-performance, distributed training systems that efficiently scale across multiple GPUs and cloud environments. - Establish and optimize real-time serving architectures for large-scale embeddings, ensuring low-latency inference and high throughput. - Collaborate cross-functionally with teams in Feed Ranking, Ads, Content Understanding, and Core ML to integrate ML models into Reddit’s key AI-driven systems. - Mentor and guide senior and mid-level ML engineers, fostering a culture of excellence, innovation, and knowledge sharing. - Stay at the forefront of AI research, evaluating and introducing new modeling paradigms to keep Reddit’s ML ecosystem cutting-edge. - Drive technical discussions, present findings to leadership, and contribute to long-term ML planning and decision-making. Who You Might Be: - 8+ years of experience in machine learning engineering, with a strong focus on large-scale ML systems and recommendation or personalization systems.&l
Incident Response Manager - Product & Engineering
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 are looking for an Incident Response Manager to serve as the operational backbone of how Anthropic handles incidents. When things go wrong, you are the person who makes sure the right people are in the room, the right information is flowing, and nothing falls through the cracks. The right person for this role brings structure and rigor to high-volume, high-stakes situations without waiting for a playbook to be handed to them. You will work across engineering, product, security, legal, go-to-market, and leadership to ensure Anthropic responds to incidents with speed, clarity, and accountability. This is not a role where you follow existing runbooks; it is a role where you write them, and where you operate effectively even when the runbook does not yet exist. Responsibilities - Build the incident response management function, establishing the processes, tooling, and operational standards that define how we handle incidents at scale - Serve as an on-call incident commander, driving coordinated response across technical and non-technical stakeholders during incidents of varying severity, including managing multiple active incidents simultaneously - Engage the right people at the right time, with a strong sense of urgency, bringing order and direction to fast-moving, ambiguous situations - Own incident communications end-to-end, from real-time internal coordination to external channels like status pages, direct customer outreach, and stakeholder updates, ensuring they reflect Anthropic's commitments to safety, transparency, and accuracy - Participate in blameless incident reviews, contributing operational context and helping drive follow-through on critical remediations so the same class of incident does not recur - Partner with engineering teams to develop and maintain incident response policies, procedures, and escalation frameworks that scale with Anthropic's growth - Partner with engineering, product, security, legal, and go-to-market teams to continuously improve how the organization detects, responds to, and learns from incidents You May Be a Good Fit If You - Have 5+ years of experience in incident management, with direct experience managing technical product or infrastructure incidents (not exclusively security or trust and safety) - Have built or significantly shaped an incident response program, ideally at a high-growth startup or in an environment where you had to create structure rather than inherit it - Demonstrate a strong sense of ownership and urgency, with the ability to operate independently and make sound decisions under pressure without waiting for direction - Are comfortable working in unprecedented situations where processes are still being defined and guidance may be incomplete or conflicting, leaving things better than you found them - Have a track record of effective cross-functional collaboration, particularly with engineering, security, legal, communications, go-to-market, and executive leadership - Bring a blameless, learning-oriented mindset
Lead, Frontier Red Team (Cyber)
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. Lead, Frontier Red Team (Cyber) San Francisco, CA About the Team As part of Anthropic’s work on the frontier of cybersecurity, we are forming a new team focused on steering the world through the next generation of cybersecurity. It is now clear that frontier AI models – Mythos and beyond – will have dramatic impacts on cybersecurity. This team will research the impacts of advanced models, beyond Mythos, on security – and publish the research and build + deploy the defenses the world needs to navigate it smoothly. We believe many parts of cybersecurity will need to be fundamentally reimagined for the age of powerful models. This team is incubated with the highest priority within the Frontier Red Team, which studies the catastrophic risks and builds and advocates for defenses. See our previous related work on Mythos , N-days , exploits , 0-day , and finding vulns in hardened codebase . We also run Project Glasswing . About the Role The Lead will oversee all of Anthropic’s mission-driven research on defending the world in an era of advanced cybersecurity capabilities. They will lead research to uncover the offensive and defensive capabilities of Claude, prototype defenses in the wild, inform how Claude is trained and safeguarded in order to favor defenders, and engage with the public and government. The Lead will, over the long run, focus on how to give defenders a permanent advantage. Done well, within a year we expect Mythos, Glasswing, and our vulnerability and exploit research to seem like a modest first step towards this vision. They will work with our Product, Training, Security, and Safeguards teams to support their missions. The Lead will be responsible for all components of this vision. They will hire a world-class research team, lead them to produce frontier research on extremely quick timelines, maximize the public impact of that research, and build and deploy defenses into the world. The lead will develop a compelling vision for a dramatically more secure future, and communicate it to the company, industry, researchers, and government. The lead will also be responsible for informing and making difficult decisions at the highest levels of the company – how to broadly distribute access to advanced capabilities, how to safeguard the model, what threats to focus on, what systems to harden, and what high-risk, high-reward research to take bets on. The role is based in San Francisco, but we expect some travel at least to Washington DC. What You'll Do - Be responsible for Anthropic’s overall defensive cybersecurity vision - Hire and lead a world-class research team of AGI-pilled cybersecurity researchers and program managers
B2B Marketing - Spanish Latam 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 seeking a seasoned Growth Marketer to lead our expansion into Spanish-speaking Latam, with a specific focus on Mexico. We need a builder who is comfortable with the "zero-to-one" phase of regional growth. - You will be the local "Source of Truth" for marketing and growth, acting as a creative, an analyst, and an operator all at once. You should be someone who enjoys the complexity of multi-lingual markets and has the drive to implement projects from start to finish while owning the outcome entirely. YOUR RESPONSIBILITIES - Regional Growth Engine: Make sure Spanish-speaking Latam B2B (Mexico especially) grows through aggressive lead generation and brand awareness. - Outbound Strategy: Build and execute complex, multi-language outbound sequences that cut through the noise. - Local Events: End-to-end ownership of local industry events, user conferences, and webinars in the region. - Cross-Functional Synergy: Collaborate with performance marketing on ABM initiatives and localized retargeting. - Analytics & Reporting: Monitor campaign performance, produce executive-level reporting, and recommend data-driven optimizations. - Localization & Messaging: Adapt ElevenLabs’ global voice to resonate deeply with the Latam business cultures. REQUIREMENTS - Native Spanish speaker. - Fluent English speaker. - Ownership Pedigree: You have implemented mark
Software Engineer II, Backend (Unified Data Platfo...
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. Machine Learning is central to how Affirm delivers on its mission, powering decisions across underwriting, fraud, servicing, and personalization. We are seeking a Software Engineer II to join our ML Training & Serving engineering team, the team that builds and operates the critical infrastructure that enables models to be trained and served across Affirm. This role sits at the intersection of distributed systems, ML infrastructure, and platform engineering. We value engineers who listen closely, invite feedback, and work effectively across organizational boundaries, while maintaining a high bar for ownership, technical judgment, and execution. Strong candidates care about building reliable shared platforms, improving developer velocity, and creating durable systems that enable teams across the company to move faster with confidence. What You'll Do - With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. - You will support your peers and stakeholders in the product development lifecycle by collaborating across engineering, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. - You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. - You will contribute to a sense of community on your team by engaging in growth and development activities such as participation in the interview process. What We Look For - You have a total of 1.5+ years of experience as a software engineer. - You have experience designing, developing and launching backend systems and are proficient in one of Python or Kotlin. - You are familiar with the building blocks of distributed systems, and the technologies like AWS, MySQL and Kubernetes. - You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. - You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. - Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. - You have strong verbal and written communication skills that support effective collaboration with our global engineering team. <span class="notion-enable-hover" data-token-index="0">
NYC Startup Partnerships
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're looking for someone to own New York City for ElevenLabs' startup program, one of the fastest-growing partnership motions in AI. ElevenLabs' startup program is already a meaningful driver of enterprise revenue. If you're successful, every promising startup looking to build conversational agents will join our startup program and build with ElevenLabs. You'll own New York Startup partnerships end-to-end. As the dedicated lead for NYC and the broader East Coast corridor, you'll build relationships with the VCs, accelerators, and ecosystem partners shaping the next wave of AI startups, and nurture them through deep community engagement online and in-person. This is a perfect opportunity for an ex-founder, VC, or driven operator looking to own a high-impact area at one of the fastest-growing companies in the world. WHAT YOU'LL DO - Own VC and accelerator partnerships across NYC and the broader East Coast ecosystem - Build relationships with the founders behind the highest-potential AI startups on the East Coast, drive visibility, and bring them into the program - Run a high-impact in-person presence in NYC and beyond: events, dinners, founder meetups, conference appearances, and ecosystem partnerships REQUIREMENTS - 2-5+ years in venture capital, founder or running startup partnerships at a fast growing startup - Excellent at relationship buildin
Staff Data Scientist, Ads
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 has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be. Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business. About the Ads Data Science Team: The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods. We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling. About the Role: Reddit’s Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience on Reddit. In this role, you'll take deep ownership of a high-impact problem space within advertising, specializing in measurement, identity, and signal quality. This is a high-impact, high-autonomy role where you'll influence strategic direction, set a high technical bar, and drive cross-functional initiatives across one or more critical focus areas in the Ads organization. Responsibilities: - Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy. - Advance Lift Methodologies & Experimentation: Own the statistical rigor behind Reddit’s Brand and Conversion Lift products. Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers. - Maximize Signal for Predictive Performance: Define the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling te
Customer Success & Enterprise Support Lead, APAC
Perplexity is an AI-powered answer engine used to solve billions of queries every month. We build accurate, trustworthy AI that powers decision-making for curious people and organizations worldwide. As we scale across Asia-Pacific, we are investing in a regional team that can deliver the same world-class experience our Enterprise Pro customers expect, in their language, in their time zone, and to their service standards. The Perplexity APAC team is the frontline for delivering Perplexity AI's industry-leading search capabilities to enterprise clients and individual users across Asia-Pacific markets. The team partners closely with Product, Engineering, Localization, and Technical Success to resolve complex technical issues while adapting our global support and success frameworks to regional expectations. This is a hybrid Customer Success and Enterprise Support role. You will own a book of Japan-headquartered Enterprise accounts end to end — onboarding, adoption, retention, and growth — while also serving as the senior technical escalation point for APAC support. Responsibilities Customer Success & Growth - Execute the Enterprise customer success strategy in APAC, serving as the primary point of contact for key APAC-based enterprise clients. - Drive initial enablement through high-quality onboarding and training, then define and run a targeted, goal-based engagement plan aligned with each customer's objectives. - Identify and support opportunities for expansion; partner with sales to translate customer insights into actionable growth strategies. - Manage retention by quantifying value delivered, monitoring health, and acting early on risk. - Generate customer insights by understanding the competitive landscape and the end-to-end customer journey — goals, behaviors, and pain points — across distinct APAC markets. - Build durable executive relationships and engage with stakeholders from individual contributors to C-level. - Engage cross-functionally with Product, Engineering, Localization, Sales, and Marketing to drive projects and influence decisions that enable delivery of your customer strategy. Enterprise Support Execution - Work directly with enterprise customers via tickets, Slack, and calls to diagnose and resolve the most complex technical and product questions — the "last line of defense" before Product and Engineering step in. - Own end-to-end troubleshooting: reproduce issues, isolate root causes, collaborate with engineers, and communicate clear, low-jargon explanations in Japanese and English. - Anticipate customer issues, orchestrate timely resolutions, and act as the regional escalation point for complex problems. - Leverage Perplexity's own AI tooling and workflow automations to scale world-class support, continuously replacing repetitive tasks with agentic, self-service solutions that still feel personalized. - Localize 15+ knowledge base articles at launch, maintaining terminology consistency with product UI localization. Qualifications Required - Fluency in English and Japanese is a must; technical writing proficiency in Japanese. Business or fluent-level Korean or Mandarin Chinese is preferred. - 3+ years in B2B/SaaS customer support, ideally as a senior or escalation engineer providing timely, accurate support to end users. - 3+ years in customer-facing roles (Customer Success, Account Management, or equivalent) with a proven ability to engage stakeholders at both project and senior management levels. - Proven track record of driving enterprise-level satisfaction, growth, and retention; creative problem-solving in a fast-paced environment. - Strong customer orientation with the ability to interact effectively with both software engineers and business decision-makers. - Hands-on experience prompting large language models and a solid grasp of AI fundamentals (tokens, context windows, embeddings, latency vs. cost trade-offs). - Ability to translate complex technical concepts — APIs, SSO/SAML, cloud integrations —
Strategic Projects Lead, Generative AI
Scale’s Generative AI business unit is currently seeing historic levels of growth. As a Strategic Projects Lead (SPL), you will leading 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 such as Operator, Product Manager and customer-facing Engagement Manager. 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 an accelerated career progression. You will: - Lead cross-functional projects with diverse stakeholders (Engineering + Ops + Go-to-Market) - Partner with product and engineering teams to enhance products to fulfill needs of strategic customers and initiatives - Own the execution of our data labeling operations for strategic projects - Give regular progress updates to Scale’s executive team - Work on some of the most impactful problems at the company Ideally, you’d have: - Strong technical background (a degree in computer science is ideal, and at minimum the role requires the ability to do data analytics using SQL or Python). - 2+ years of experience leading a team, developing product or operational processes, or as a SWE. - Strong problem solving capabilities (experience working on operational challenges or as a consultant is a plus). - Entrepreneurial experience and mindset - you are excited about building things from scratch 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: $152,000 - $190,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products pr
Startup Partnerships 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 As the Startup Partnerships Lead at Anthropic, you will drive transformative growth and strategic alignment by forging and managing high-impact startup partnerships. You will drive the adoption of Anthropic's cutting-edge AI capabilities within the startup ecosystem. In this role, you will design and execute innovative programs that enable startups to easily access and utilize Anthropic's advanced AI models. Your goal will be to scale our reach and impact by engaging with startups directly and through the accelerator ecosystem. This is an individual contributor role with broad ownership — you'll operate with high autonomy, partnering closely with sales, marketing, and product teams to build and run our startup partnerships motion. Key responsibilities - Develop and lead Anthropic's startup partnerships strategy, leveraging our AI technology and industry partnerships - Build relationships with key accelerators, and entrepreneurial communities - Create compelling startup-focused offerings, programs, and growth initiatives - Cultivate strong relationships with current and new accelerator partnerships; build out relationship models, own touchpoints, and drive outcomes such that accelerator portfolio companies are choosing to build on Claude. - Plan and execute startup-focused events, campaigns, and promotions to drive awareness and adoption - Gather product feedback and represent the needs of the startup community to inform Anthropic's product roadmap - Track and report on key metrics to measure the success and ROI of startup initiatives Minimum qualifications - Experience sourcing, negotiating, and managing partnerships or business development relationships in the technology industry - Working knowledge of the startup ecosystem, including how venture firms, accelerators, and founder communities operate - Experience designing and executing complex, cross-functional go-to-market programs end to end - Proficiency with CRM and reporting tools (e.g., Salesforce) to track pipeline and measure program performance - Exceptional communication and relationship-building skills with both technical and business audiences Preferred qualifications - Deep understanding of the AI/ML technology landscape and experience positioning LLM or API-based products - Experience working with cloud provider startup programs (e.g., AWS Activate, Google for Startups) or co-sell motions - Experience enabling sales teams and delivering training on technical products - Experience working at or closely with early-stage startups and founders - Ability to adapt to changing priorities in a rapidly evolving market - Passion for the positive impact that AI can have for startups and society as a whole The annual compensation range for this role is listed
Legal Fellow - Human Frontier Collective (UK)
PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the country they reside in. About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do - Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex real-world scenarios, evaluating model outputs for accuracy and regulatory alignment, and providing targeted feedback to improve performance across domains like compliance, litigation, case law, and contract analysis. - HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. - Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict , PropensityBench , Professional Reasoning Benchmark ). Who Should Apply - Education: JD, LLM, or currently enrolled in a prestigious 2L/3L program. - Certifications: Bar admission in any jurisdiction strongly preferred. - Professional Background: Experience as Attorney/Associate, Legal Analyst, Counsel, Law Clerk, In-House Counsel, Legal Researcher, or Law Professor. - Skills: Demonstrated expertise in legal research, analysis of regulatory frameworks, constitutional law, case law interpretation, and drafting legal briefs. - Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus. Why Join the HFC? - Advance Legal AI Solutions: Apply your legal expertise to address complex, real-world challenges where your judgment shapes advanced AI reasoning and supports critical legal decision-making. - Professional Development: High-impact legal experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, sharpening legal analysis skills, and gaining practical experience with innovative AI tools for the legal field. - Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members co
Engineering Manager, 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: Anthropic’s performance and scaling teams focus on making the most efficient and impactful use of our compute resources, be it inference or training. As an Engineering Manager on these teams you will be responsible for ensuring you and your team are identifying and removing bottlenecks, building robust and durable solutions, and maximizing the efficiency of our systems. You also will help bring clarity, focus, and context to your teams in a fast paced, dynamic environment. Responsibilities: - Provide front-line leadership of engineering efforts to improve model performance and scale our inference and training systems - Become familiar with the team’s technical stack enough to make targeted contributions as an individual contributor - Manage day-to-day execution of the team's work - Prioritize the team’s work and manage projects in a highly dynamic, fast paced environment - Coach and support your reports in understanding, and pursuing, their professional growth - Maintain a deep understanding of the team's technical work and its implications for AI safety You may be a good fit if you: - Have 1+ years of management experience in a technical environment, particularly performance or distributed systems - Have a background in machine learning, AI, or a similar related technical field - Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development - Excel at building strong relationships with stakeholders at all levels - Are a quick learner, capable of understanding and contributing to discussions on complex technical topics - Have experience managing teams through periods of rapid growth and change - Are a quick study: this team sits at the intersection of a large number of different complex technical systems that you’ll need to understand (at a high level of abstraction) to be effective Strong candidates may also have experience with: - High performance, large-scale ML systems - GPU/Accelerator programming - ML framework internals - OS internals - Language modeling with transformers The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $425,000 - $560,000 USD Logistics Minimum education: Bachelor’s degree or an
Staff Engineer, Datacenter Server Lifecycle
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 expanding beyond cloud infrastructure, and this role sits at the heart of that effort. As a Staff Engineer on the Datacenter Server Lifecycle team, you will own the end-to-end operational journey of every machine in our global facilities – from initial provisioning and deployment, steady-state operation, maintenance, and repair. This is greenfield work: you will help define the services, tooling, standards and processes that govern how we operate critical hardware at scale, powering frontier model development and serving. You will have the opportunity to define AI-native workflows for datacenter operations and to help drive innovations on efficiency, performance, and reliability. A distinguishing aspect of this role is its deep intersection with security. The machines in our datacenter handle some of the most sensitive workloads in AI – training frontier models and serving millions of users interacting with Claude. Ensuring that every machine in the fleet is trusted, attested, and operating with a verified chain of integrity from the hardware up is a core part of the job, not an afterthought. You will partner closely with our Infrastructure Security team to define and enforce trusted compute standards across the lifecycle, from secure provisioning through end-of-life handling. Key responsibilities - Build automation to support datacenters containing tens of thousands of servers. - Define and own the end-to-end system lifecycle strategy – from provisioning and deployment through operation, maintenance, refresh, and decommissioning – and maintain automation and operational procedures for common lifecycle events (e.g., hardware failures, firmware upgrades, fleet rotations). - Partner closely with Infrastructure Security to design and enforce trusted compute standards across the server lifecycle. - Work closely with our Networking team to ensure end-to-end connectivity across all sites. - Build and maintain tooling to track machine health, configuration, and operational status across the full datacenter fleet. Minimum qualifications - Hands-on experience with server hardware, including rack deployment, cabling, troubleshooting, and understanding failure modes at scale. - End-to-end understanding of hardware lifecycle management: asset tracking, provisioning workflows, maintenance scheduling, and decommissioning practices. - Proficiency in at least one programming language (e.g., Python, Rust, Go, or Java). - Working knowledge of modern cloud infrastructure, including Kubernetes and large scale cloud providers (e.g. AWS, Azure, GCP). - Ability to communicate clearly and build consensus with a wide range of stakeholders. - Comfort navigating ambiguity and making progress on complex, cross-functional problems. - Willingness to travel occasionally to datacenter sites. Preferred qualifications - 8+ years of experience in datacenter infrastructure management, or a closely related discipline. - Han
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