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Member of Technical Staff (Software Engineer, Clou...
ABOUT PERPLEXITY AI Perplexity is an AI-powered answer engine built to serve the world’s curiosity with fast, trustworthy answers grounded in the live web and backed by clear citations. It combines multiple leading models with real-time search to synthesize up-to-date, source-linked responses instead of traditional search results. On top of this foundation, Perplexity is rolling out Computer, a general-purpose AI worker that can use software like a human to research, build, and execute end-to-end workflows for users. ABOUT THE ROLE The Cloud Infrastructure team owns the foundational cloud primitives and deployment models that power Perplexity's products, from multi-tenant public cloud to single-tenant and on-premises solutions for enterprise customers. As Perplexity grows its Computer and Enterprise products, this team builds and operates the security, isolation, and compliance layers that customers depend on. We provide the deployment topologies, multi‑region infrastructure, and core services that enable Perplexity to run reliably and efficiently for both consumer traffic and large enterprises. KEY RESPONSIBILITIES - Own the roadmap and technical strategy for agent-driven cloud infrastructure management. - Design and operate Perplexity’s cloud networking fabric, including VPC architectures, private connectivity, and peering with hyperscalers and neocloud providers to support low-latency, high-throughput AI workloads. - Architect and scale compute platforms (Kubernetes/EKS, autoscaling groups, and mixed CPU/GPU fleets) to efficiently serve online request traffic and background workloads across regions. - Build and maintain secure, isolated deployment topologies for multi-tenant, single-tenant, and customer‑owned cloud (BYOC) environments, including cross-account networking, identity, and policy guardrails. - Implement and evolve multi-region strategies for availability, failover, and data locality, including traffic routing, regional capacity planning, and disaster recovery playbooks. - Partner with security to deliver enterprise controls such as BYOK/KMS integrations, network isolation, and auditability required for regulated customers. - Develop automation, tooling, and runbooks that make day‑2 operations (provisioning, upgrades, incident response) predictable and repeatable for Perplexity products across all environments. QUALIFICATIONS - Deep experience designing and operating cloud infrastructure on AWS (VPC design, routing, security groups, load balancing, private connectivity). - Strong background with Kubernetes/EKS and container orchestration, including multi‑cluster, multi‑region, or multi‑account setups. - Hands-on experience with cloud networking and peering (VPC peering, Transit Gateway, private link/service endpoints, or similar constructs in neoclouds). - Experience building or operating secure, isolated environments for enterprise customers (single‑tenant, BYOC, or on‑prem), ideally including BYOK/KMS integrations and compliance constraints. - Proficiency with infrastructure as code (Terraform) and strong software engineering skills in at least one of Python, Go, or Rust for automation and tooling. - Strong debugging and incident management skills across distributed systems (networking, compute, and platform layers), with a track record of driving root‑cause analysis and long‑term fixes. - 7+ years of industry experience building and operating production cloud infrastructure, including leading the design of complex systems or migrations. If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
Indirect Tax 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're hiring our first dedicated indirect tax specialist to own all things indirect tax globally, reporting to the Head of Tax. ElevenLabs sells AI products to millions of users and thousands of businesses all over the world, which means a large and fast-growing indirect tax footprint: 40+ jurisdictions and digital services taxes on the horizon. This is a hands-on, end-to-end ownership role. You'll manage the full compliance cycle: filings, payments, reconciliations, journal entries, exemption certificates, and audits, while also building for scale: maintaining tax codes and configuration in Stripe, preparing for e-invoicing mandates, and standing up compliance in new markets as we register in new jurisdictions. You'll be the company's go-to expert on indirect tax — partnering with Finance, Legal, and Product on everything from product taxability and invoicing requirements to customer-facing tax questions. REQUIREMENTS - Deep expertise in US sales & use tax — multi-state compliance, nexus analysis, product taxability, exemption certificates, and audit defense — ideally for digital products, SaaS, or electronically supplied services - Working knowledge of international VAT/GST compliance, with the ability to own global filings alongside external advisors - Proven end-to-end ownership of multi-jurisdiction indirect tax compliance — you've run the f
CPU/Storage/PoP-WAN Program Manager
About the Team OpenAI’s Infrastructure organization builds the systems that power frontier AI workloads at global scale. As compute demand accelerates, our ability to rapidly convert infrastructure investments into usable production capacity has become mission critical. The CPU / Storage / PoP / WAN team is responsible for the end-to-end infrastructure layers required to bring compute online: server and cluster activation, storage platforms, Points of Presence (PoPs), backbone connectivity, and global network expansion. We operate across first-party facilities, colocation environments, and strategic cloud partners to ensure OpenAI can scale reliably and quickly. About the Role We are seeking a highly technical Program Manager to lead execution across CPU, Storage, PoP, and WAN infrastructure programs that directly unlock OpenAI’s next generation compute capacity. In this role, you will own complex cross-functional programs spanning compute cluster activation, storage deployment, PoP bring-up, and backbone expansion. You will coordinate hardware readiness, site readiness, network pathing, storage availability, vendor execution, and engineering dependencies required to turn contracted infrastructure into live training and inference capacity. This role requires strong technical fluency across hardware systems, network infrastructure, storage architecture, and deployment execution. You should be comfortable operating from rack-level implementation details through executive-level capacity planning discussions. This role is based in San Francisco, CA, with travel as needed. Key Responsibilities - Lead end-to-end execution of CPU / GPU cluster activation programs across OpenAI’s global infrastructure footprint - Drive readiness to convert contracted compute capacity into schedulable production clusters - Own deployment programs for new PoPs, backbone nodes, WAN expansion, and interconnection initiatives - Build integrated schedules spanning procurement, logistics, installation, storage readiness, network turn-up, testing, and production handoff - Coordinate BOM readiness, server delivery, racks, optics, cabling, storage hardware, and vendor milestones - Partner with engineering teams to align compute, storage, and networking dependencies before cluster activation - Manage deployment of storage systems supporting training and inference workloads, including readiness, validation, performance checks, and scaling plans - Coordinate backbone capacity expansion, cross-connects, inter-region pathing, and cloud interconnect readiness with Azure and third-party providers - Lead physical deployment execution including rack-and-stack, hardware bring-up, L1 validation, and site acceptance criteria - Build repeatable deployment playbooks, dashboards, governance cadences, and operating mechanisms for scale - Identify risks early across supply chain, site readiness, technical constraints, and vendor execution, then drive mitigation plans - Communicate milestones, escalations, and capacity forecasts to senior leadership Qualifications - 8+ years of experience in technical program management, infrastructure deployment, network deployment, or data center operations - Strong experience delivering programs involving compute, storage, networking, or large-scale infrastructure systems - Working knowledge of servers, clusters, storage arrays, routers, switches, optics, and structured cabling - Experience owning cross-functional programs across engineering, operations, supply chain, and external vendors - Strong understanding of deployment lifecycles from planning and procurement through production handoff - Ability to reason across physical infrastructure execution and logical systems architecture dependencies - Proven ability to build integrated schedules and drive accountability across multiple stakeholders - Strong executive communication skills with experience managing critical escalations and leadership updates - Comfortable operating in fast-moving environments with aggressive timelines and evolving priorities - Highly analytical with strong problem-solving and execution instincts Preferred Skills - Experience at a hyperscaler, cloud provider, AI infrastructure company, or global network operator - Experience deploying GPU clusters, HPC systems, or large training environments - Familiarity with distributed storage systems and high-performance data infrastructure - Experience with PoP deployments, WAN backbone expansion, or global network buildouts - Experience working across first-party, colo, and cloud environments - Experience building repeatable infrastructure deployment systems in high-growth environments About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer, Cloud Infrastructure
About the Team The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. You’ll join the team responsible for running the core infrastructure that supports products like ChatGPT and the API. The systems we support include our kubernetes clusters, infrastructure deployment, our networking stack, cloud abstractions, and more. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role The cloud infrastructure team builds and maintains infrastructure abstractions allowing OpenAI to ship products quickly and scalably. This role is based in San Francisco, CA. In this role, you will: - Design and build the development and production platforms that power our products, enabling reliability and security at scale - Ensure our infrastructure can scale to the next order of magnitude - Help create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think - Like all other teams, we are responsible for the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed. You might thrive in this role if you: - Have 5+ years building core infrastructure - Have experience operating orchestration systems such as Kubernetes at scale - Have experience building abstractions over cloud platforms - Take pride in building and operating scalable, reliable, secure systems - Are comfortable with ambiguity and rapid change This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees. 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.
Strategic Finance Lead, Corporate Finance and Capi...
About the Role We’re looking for a senior Strategic Finance Lead to help shape and execute OpenAI’s financial strategy across some of the company’s most important long-term investments and growth priorities. This high-impact role sits at the intersection of corporate finance, capital markets, treasury, and cross-functional execution. In this role, you will: - Shape financial strategy for major long-term investments, capital structure decisions, and broader strategic decision-making. - Build rigorous financial models and scalable frameworks to evaluate strategic initiatives, funding options, tradeoffs, and risk. - Structure and help execute complex strategic initiatives in partnership with cross-functional teams. - Translate ambiguous technical and business inputs into clear recommendations and decision-ready materials for executives, the board, and other senior stakeholders. - Lead high-priority cross-functional workstreams from concept through execution, bringing strong judgment, ownership, and communication in fast-moving situations. - Help build an AI-native finance organization by applying AI to improve workflows, decision-making, and execution across finance processes. You might thrive in this role if you have: - 12+ years of experience across strategic finance, corporate finance, capital markets, investment banking, infrastructure finance, or related fields. - A strong understanding of capital structure, financing strategy, debt markets, and large-scale investment evaluation. - Experience operating in high-growth, high-complexity environments with the ability to navigate ambiguity and move quickly. - Exceptional financial modeling, strategic thinking, and problem-solving capabilities. - Strong executive presence with the ability to communicate clearly across investors, executives, and technical stakeholders. - A high-agency operating style that combines strategic perspective with a willingness to build directly. - Excitement around using AI as a core operating advantage, with a mindset toward building AI-native workflows rather than traditional finance processes. - Excellent judgment, low ego, and a collaborative approach to solving hard problems. 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.
Lead Counsel, Global Public Sector
Come join our growing legal team to work on the most exciting issues at the leading edge of AI! At Scale AI, we are powering the leading AI models and pioneering the next era of advanced AI systems for the world’s largest enterprises and forward-thinking governments. You will join a solutions-oriented legal team in a place where a healthy culture meets high standards and the ambition to shape the future of AI. You will help grow Scale’s Global Public Sector business across Europe, the Middle East, and Asia. While work variety is guaranteed, in your role you will primarily help build and deploy a range of Generative and Agentic AI systems that deliver real-world impact for governments and public sector entities. We are looking for a relentlessly curious, open-minded, and action-oriented commercial attorney who has fun negotiating complex agreements and can optimise risk – all while being a great teammate. If you enjoy solving novel challenges while continuously learning and building strong relationships, we’d love to hear from you! You will: - Drive Scale AI’s international expansion by enabling market entry and operations outside the US, particularly in support of the Global Public Sector team - Draft, review, and negotiate a wide range of commercial agreements with global entities, including Sovereign AI deals, master services agreements, and bespoke software development agreements - Manage complex public tenders as a prime, subcontractor, or consortium partner - Counsel on privacy and emerging regulatory requirements - Design, implement, and iterate on policies and processes to manage legal and business risk - Partner within Legal and across functions and geographies, proactively delivering solutions that move the business forward Ideally you'd have: - UK, common law, or EU legal qualification with substantial experience working on English law matters - 7+ years PQE in the technology sector across leading law firms, in-house, or government - Solid commercial and IP legal skills combined with strong business and technical acumen - Extensive experience negotiating complex SaaS and bespoke software development agreements - Experience with government engagements and public procurement processes - Familiarity with EU law - Passion for partnering with Sales and developing practical, risk-optimised solutions - A collaborative, low-ego approach to working across the organisation on projects large and small - An ability to prioritise and the willingness to embrace new challenges as part of a fluid scope of work Nice to have: - Experience with legal issues related to AI, including emerging AI regulatory requirements - Privacy counselling and regulatory compliance experience - Experience working at or closely with GCC-based governments and enterprises - Proficiency in Arabic 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 wor
Forward Deployed Software Engineer - NYC
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role We are looking for customer-focused software engineers to build effective custom software that leverages OpenAI’s APIs to solve real customer problems. As an FDSWE, you will work with our customers and OpenAI Forward Deployed Engineers to design and implement scalable solutions that solve their most difficult problems. You will design abstractions to solve customer problems, and then use them to scale our speed and quality of delivery across all Forward Deployed engagements. You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also work with our Research and Applied Product and Engineering teams to provide insightful customer feedback. This role is based in NYC. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role, you will: - Embed deeply with strategic customers to understand their business challenges and technical requirements in detail. - Design, architect, and develop full-stack solutions using an experiment-driven, iterative approach. - Prepare detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments. - Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion on their infrastructure. - Collaborate with Product, Research and Applied teams to ensure seamless customer experiences, project success and actionable product feedback - Contribute to internal knowledge bases, codifying best practices and sharing insights gained from customer engagements to scale the Forward Deployed Engineering function. You’ll thrive in this role if you: - 7+ years of professional full stack engineering experience (excluding internships) in relevant roles at tech and product-driven companies - customer-facing experience is highly desirable - Former founder, or early engineer at a startup who has built a product from scratch is a plus - Experience with relational databases like Postgres/MySQL - Have a bias for action and willingness to work iteratively with your customers to deliver the right solution that solves their problem. 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.
Deployment Lead (DL), FDE - Singapore
About the Team OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships. About the Role This is a founding role. As EMEA’s first Deployment Lead (DL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in Singapore. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. In this role, you will: - Own the technical delivery plan for multiple interdependent workstreams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria. - Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. - Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management. - Partner with Product and Research so platform components and research workstreams land in time to support deployment goals. - Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models. - Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors. You’ll thrive in this role if you: - Bring 7+ years of customer‑facing technical delivery leadership. - Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI. - Excel in high ambiguity environments. Know how to simplify complex and dynamic work. - Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems. - Think strategically and pattern-match. Able to step back from execution detail, recognise broader trends across deployments, and connect customer needs to scalable, reusable solutions. - Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs. - Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls. - You’re a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution. - Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher). - Have expertise in at least one major sector (e.g., healthcare, energy, financial services, semiconductors, IT) to elevate solution framing and credibility. 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.
Technical Lead Manager, Physical AI
Scale AI is the data engine for the entire AI industry. Our mission is to accelerate the development of AI applications by providing organizations with the high-quality data they need. The Physical AI team at Scale is focused on the next frontier: building general AI that can reason and act in the physical world. By leveraging Scale’s massive data infrastructure, we are helping frontier labs build Foundation Models for Physical AI that will redefine the future of automation. Role Overview As the Technical Lead Manager (TLM) for the Physical AI team of Scale , you will bridge the gap between cutting-edge Machine Learning research and physical robot deployment. You will lead a high-performing team of Research Engineers while remaining a hands-on technical contributor (~60% of your time). Your primary focus will be the development and evaluation of Large-Scale Foundation Models (e.g VLAs, World models) that allow robots and AVs to generalize across diverse tasks, environments, and morphologies. Key Responsibilities Technical Leadership & Research - Model Scaling: Direct research into scaling laws for Physical AI, determining how to best utilize massive datasets for pre-training and fine-tuning generalist policies. - VLA and World model development: Develop novel methods for developing and evaluating models, including new Physical AI industry benchmarks - Hands-on Modeling: Actively write code to implement, train and test SOTA architectures. Conduct research on Physical AI data collection, cross-embodiment training, and policy fine-tuning. - Data Strategy: Collaborate with internal labeling teams to design "robotic-native" data pipelines, including the use of VLMs for automated trajectory annotation and data synthesis. - Collaborate closely with customers to drive the industry forward in using Scale data Team Management & Execution - Mentorship: Lead and grow a team of 4-6 elite Physical AI researchers, fostering a culture of high-velocity experimentation and rigorous evaluation. - Paper-to-Product: Translate the latest research from NeurIPS, ICRA, and CVPR into production-ready features for Scale’s Physical AI partners. - Cross-functional Alignment: Work with cross-functional teams (e.g Product and Operations) to bring our research breakthroughs into production. Required Qualifications AI/ML Excellence - Deep Learning Mastery: Expert-level proficiency in PyTorch , with deep knowledge of Transformer architectures , Attention mechanisms , and Self-Supervised Learning . - VLM/VLA Experience: Proven track record of working with Vision-Language Models (e.g., CLIP, PaLM-E) and adapting them for spatial reasoning or embodied tasks. - Generative AI: Experience with Diffusion Models for sequence generation or Generative World Models for predictive
Senior Staff Product Manager, Member & AI Experien...
Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: - Fortune Change the World (2024) - CNBC Disruptor 50 List (2022, 2023, 2024) - Fortune Best Workplaces for Millennials (2024) - Fortune Best Workplaces in Health Care (2024) - TIME 100 Most Influential Companies (2023) - Fast Company Most Innovative Companies (2020, 2023) - Built In Best Places to Work (2023) - Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024) - Great Place to Work certified (2020, 2021, 2022, 2023, 2024) - Fast Company Best Workplaces for Innovators (2022) - Built In LGBTQIA+ Advocacy Award (2022) About the role The member experience is how Maven's decade of clinical depth shows up for the people we serve. The homepage they land on, the AI that answers their questions, the community that makes them feel less alone. It's what turns an eligible member into an engaged one, and an engaged member into someone who stays. We're hiring a Senior Staff PM to make the experience dramatically better: more intuitive, more personal, more useful. You will work closely with Clinical Product and the AI Platform team to make sure the experience serves members effectively across every program. You report directly to the SVP of Product. What You’ll Do: - Own the core member experience surfaces: homepage, conversational AI, and community - Build and run a high-velocity experimentation engine: form hypotheses, ship tests, read results honestly, and compound learnings week over week - Define the metrics that matter, instrument them, and use them to drive decisions from first visit through activation and retention - Bring a strong point of view on how AI changes what we build for members and how fast we build it, and put it to work in your own workflow - Go deep on engagement data: where members activate, where they drop off, and where the experience is or isn't working - Build close partnerships with Clinical Product and AI Platform What we are looking for - 10+ years in product with direct experience building consumer-facing products - Experience with conversational AI, homepage, and community surfaces - Strong consum
Solutions Architect, Applied AI
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. Location - Mumbai About the role As an Applied AI team member at Anthropic India, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises across India and the Asia-Pacific region understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: - Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation - Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success - Support customers building with both the Claude API and Claude for Work - Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives - Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack - Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases - Identify common integration patterns and contribute insights back to our Product and Engineering teams - Travel occasionally within India and the APAC region to customer sites for workshops, technical deep dives, and relationship building - Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns - Collaborate across time zones with global teams while serving as the technical expert for the India market You may be a good fit if you have: - 10+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager - Experience working with enterprise customers in India or the APAC region, navigating complex buying cycles involving multiple stakeholders<
Compute Strategy & Operations Lead
ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We're hiring a Compute Strategy and Operations lead to own how Modal plans for and acquires GPU and CPU capacity. You'll size our infrastructure needs ahead of demand, source supply across hyperscalers, neoclouds, and datacenter operators, and negotiate and close the contracts to secure it. The compute you secure directly determines what Modal can sell and build. In this role, you will: - Own end-to-end procurement of GPU and CPU capacity across hyperscalers, neoclouds, and datacenter operators - Build and maintain a strong pipeline of supplier relationships - Evaluate supply options on price, availability, hardware specs, networking capabilities, and SLA terms - Negotiate and close contracts: reserved capacity agreements, spot arrangements, MSAs, DPAs, and order forms - Work closely with our engineering teams to translate technical requirements into procurement specs - Track market pricing, availability trends, and supplier dynamics, and serve as a trusted advisor to leadership on infrastructure procurement decisions REQUIREMENTS: - Fluency in the AI infrastructure landscape: hyperscalers, neoclouds, and the broader GPU supply market - Technical understanding of what you're buying: GPU architectures (NVIDIA H100/H200/B200, etc.), networking (InfiniBand vs. RoCE, fabric topology), and SLA structures - Strong commercial instincts. You know how to find leverage, structure a deal, and close it - Ability to work cross-functionally with finance and engineering teams on commercial terms and technical requirements
Transaction Principal
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Transaction Principal for Japan at Anthropic, you'll drive the commercial sourcing and transaction execution process for our Japanese data center capacity deals. You'll lead RFP processes, negotiate term sheets, and serve as the central leader ensuring seamless stakeholder alignment from initial sourcing through lease execution. This role is critical to securing the infrastructure that powers Anthropic's frontier AI systems in Japan — you'll bridge commercial negotiations with complex internal coordination across legal, finance, engineering, and network teams, and partner closely with our Compute Markets and Policy teams who own the Japan market strategy and government relationships. This is not an established leasing org; you'll be building process alongside execution in a market with unique regulatory, permitting, and power infrastructure dynamics. Japan presents a distinctive data center landscape: tight land availability in key metros, evolving grid infrastructure, significant government interest in domestic AI infrastructure, and a business culture that places high value on relationship-driven deal-making and long-term developer partnerships. You'll need to navigate these market-specific realities while executing at the pace Anthropic requires. Responsibilities - Lead the RFP and commercial sourcing process for Japanese data center deals, managing developer outreach, proposal evaluation, and competitive selection across the country of Japan - Drive the market to deliver on timeframes faster than the market provides through creative delivery models, smart regional selection, etc. - Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships — including navigating Japan-specific contractual norms and negotiation styles - Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure - Serve as project manager for cross-functional stakeholder engagement — coordinating due diligence teams, internal and external legal counsel, network organization, platform engineers, and finance to ensure alignment prior to lease execution - Act as the single point of contact for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing status - Develop and maintain transaction timelines, tracking critical-path items and proactively identifying risks that could impact deal closure - Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms - Manage complex digital infrastructure development activities to a construction-ready state, through a developer or directly - Marry the right projects, capital stacks, and developers at the right stages — including under
Global Partner Marketing Lead, AI
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Global Partner Marketing team extends the marketing reach of Stripe to customers and prospects by educating, engaging, and enabling partners worldwide to build market awareness and generate demand for Stripe solutions and services. We market to, with, and through our partners to increase our reach, scale our impact, accelerate revenue growth, and support partners in expanding their businesses with Stripe. This role will work closely with the Agentic Commerce and AI GTM team, part of the newly-formed AI growth team, to cultivate and expand our relationships with leading AI companies and major technology partners, thereby driving the next wave of growth of the Stripe suite of agentic commerce products. What you'll do We're seeking an experienced, creative, and results-driven marketer to join our Global Partner Marketing team. Our mission is to deliver an outstanding Stripe experience for our partners by providing them with the right engagement, resources, and incentives as they build, launch, market, and scale their businesses with us. You'll work directly with some of our most strategic AI partners to identify shared users, develop joint marketing plans, and execute co-marketing campaigns aimed at driving customer acquisition and activation. As the inaugural hire dedicated to this partner segment, you'll have the unique opportunity to shape our AI partner marketing strategy and investment model. At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Responsibilities - Partner closely with the AI Growth team, Product Marketing, and Product to gather inputs and align on strategies that support mutually beneficial opportunities - Define annual joint marketing strategies, objectives, and success metrics for a portfolio of strategic AI partners - Develop aligned messaging and produce bespoke co-marketing campaigns and activations with your portfolio of partners - Execute co-marketing initiatives (e.g., joint email campaigns, co-branded webinars, etc.) to drive new user acquisition, increase product upsell, and generate sales pipeline with and through partners - Deliver account-based marketing plans to support go-to-market strategies aligned with sales - Integrate partners into Stripe-led campaigns by collaborating with cross-functional marketing teams such as Campaigns, Product Marketing, Regional Marketing, and Demand Generation - Define scaling mechanisms to provide marketing resources and enablement that support a scaled partner motion - Manage marketing budgets with each partner to drive ROI - Track and evaluate the performance of co-marketing activities, sharing insights with the team to identify the most effective strategies and recommendations </ul
Manager of Applied AI Architecture, Enterprise Tec...
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 manager of the Solutions Architect team within Applied AI Enterprise Tech at Anthropic, you will drive the adoption of frontier AI in partnership with the rest of the go to market organization. Our Enterprise Tech customers are some of the world's most sophisticated technology companies, deploying AI at the core of their products and operations.. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety. You will be responsible for leading and growing the pre-sales team that partners with account executives to help those companies understand and deploy Anthropic’s products, including Claude for Enterprise, Claude Code, and the API. This will include leveraging your technical skills and consultative sales experience to hire great people, establish processes for the team to scale, and represent Anthropic directly at strategic customer engagements. Responsibilities: - Hire, manage, and guide a team of pre-sales Solutions Architects by providing both technical guidance and career development. - Set goals for your team in collaboration with sales and other parts of the organization that establish baseline expectations for performance. - Act as a technical sponsor for high-value strategic customers and advise them on their overall AI adoption strategies or use case scoping and POC execution. - Partner closely with Enterprise Tech sales leadership to identify new strategies to drive adoption of Anthropic products across customer use cases. - Work with cross-functional teams like product and engineering to ensure Anthropic prioritizes customer feedback or resolves blockers to adoption. - Travel to customer sites or conferences for executive-level sessions, technical workshops, and relationship building. - Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products. - Contribute to thought leadership through conference presentations, webinars, and technical content creation. - Stay current with emerging AI/ML trends and the competitive landscape. You may be a good fit if you: - 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role. - 3+ years of technical pre-sales management experience. - Have deep technical proficiency with enterprise AI use cases, API integrations, and LLM deployments. - Thrive in building and rapidly scaling teams and processes within ambiguous and fast-moving environments. - Have excellent communication, collaboration, and coaching abilities. - Strong executive presence and abili
Staff+ Software Engineer, Platform
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: We are looking for experienced software engineers to join our Platform organization. We build the foundational primitives that accelerate product development across Anthropic, and own infrastructure and systems that teams depend on to ship reliably and at scale - either internally or by hundreds of thousands of external global users and companies at all stages. You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. What you'll do: Service Infra: we build and maintain the core infrastructure that powers Anthropic's engineering organization, from service mesh and observability systems to deployment pipelines and shared libraries. Our work enables product teams to build and operate reliable services at scale, making us a critical force multiplier across the entire company. Platform Portability: We build and maintain the infrastructure that enables Anthropic to operate across multiple cloud providers. We focus on cloud-agnostic tooling, cross-cloud networking, and multi-region deployments. Platform Intelligence: You'll build and scale the foundation of the Claude API—the systems that deliver Claude's intelligence to every developer, from startups to enterprise. You'll own the performance, reliability, and efficiency of our core serving path, ensuring users get the most speed and value from our models. You'll partner closely with inference and safeguards to optimize the full stack. Connectivity: Our mission is to make Claude the most connected AI. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also the core contributors to the MCP spec — now an open standard under the Linux Foundation — and maintain the official Python and TypeScript SDKs. You'll work on problems where reliability and enterprise trust are the bar: token refresh at scale, admin controls that let IT govern what agents can do, proxy infrastructure that stays up when partner servers don't. We ship for claude.ai, Claude Code, Cowork, and the API. Relevant experience includes OAuth, API gateways, multi-tenant platforms, building for enterprise, and MCP. Billing Platform: Anthropic exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue — and every dollar of it runs through Billing Platform. We build and operate the infrastructure that turns product usage into revenue ac
Account Executive - North America - Mid-Market
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 highly motivated, self-starter Account Executive who is passionate about voice technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with organizations to help them generate new experiences and monetization opportunities at scale with our breakthrough voice technology. In this role you will: 1. Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals 2. Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency 3. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends 4. Demonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more REQUIREMENTS - 4–6 years of sales experience in a SaaS or technology company, ideally with exposure to AI, generative AI, LLM-based products, or API platforms - Experience selling technical solutions to product, engineering, or innovation teams is a strong plus - Proven track record of meeting & exceeding sales targets in a fast-paced envi
Enterprise Account Executive (Nashville)
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the role: We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products. This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you. Location: - Nashville WHAT YOU’LL DO: - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience - Help define and iterate on our sales playbook - your input will help shape our go to market strategies How to be successful in this role: - 5+ years of experience selling complex software to enterprise customers - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity - Excellent communication and storytelling skills - Technical acumen with the ability to establish credibility with technical decision makers. - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry Compensation Annual salary: $350,000 OTE USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competit
Backend Engineer, AI Security
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 AI is moving fast and Stripe is moving fast to adopt it. But we need to make sure we do all of this safely, and for most of these tools, enterprise-grade security isn't just available off the shelf. That's where the AI security team comes in—we're responsible for building and partnering to create the right security primitives to enable Stripe to move fast safely. This is a team that works in the low-level components of our AI stack, so both infrastructure and security experience are pluses. This space is moving fast, so being comfortable with ambiguity and changes in priority is a must. This is a foundational role—you'd be the first engineer on the team. What you'll do Engineers on this team do a mixture of partnering and advising with teams building AI infrastructure and products, and building security infrastructure primitives for AI. One of our major focuses is building a security tooling layer that sits in the inference path, providing detection and protection against AI-specific threats like prompt injection, jailbreaks, and tool misuse. Responsibilities • Build security frameworks integrated with our core AI infrastructure • Design and implement defenses against AI-specific threats like prompt injection and jailbreaks • Collaborate with other engineering teams to ensure our AI infrastructure and products are built securely • Support other engineering teams in integrating security primitives • Uphold our high engineering standards and improve our codebase and processes • Design and build systems that help define the state of the art for AI security 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 • 5+ years of software development experience • Experience independently designing and developing medium-to-large projects • Experience working collaboratively across multiple engineering teams • Experience writing high-quality code in a major programming language • Ability to drive clear next steps when working in an ambiguous environment • Ability to think creatively and reason clearly in a complex problem domain Preferred qualifications • Experience developing, deploying, and maintaining reliable infrastructure systems • Experience in security engineering • Experience building AI agents or LLM-based systems
Engineering Manager, UI Platform
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Claude.ai is Anthropic's flagship consumer product, spanning web, mobile, desktop, and browser extensions—and it's growing fast. We're looking for an engineering leader to own the foundational platform that powers all of these surfaces: the shared infrastructure, APIs, tooling, and systems that enable product teams to ship reliably, quickly, and with confidence. In this role, you'll lead the team responsible for reliability, latency, developer velocity, and common components across Claude.ai 's UI surfaces. Your work will directly determine how fast customer, partner, and product teams can innovate—and how stable their experiences are when they ship. This is a highly technical leadership role: you'll stay close to the code, drive architectural decisions, and build the systems that let others move faster. This is a unique opportunity to shape the developer experience and platform foundations for one of the most rapidly evolving AI products in the world. You'll partner closely with product engineering teams, infrastructure, and leadership to ensure Claude.ai scales gracefully as we grow. Responsibilities - Lead and grow the UI Platform team, setting technical direction for reliability, performance, and developer experience across all Claude.ai surfaces - Own the foundational systems that product teams depend on: shared components, build and deploy pipelines, observability, and performance infrastructure - Drive improvements to developer velocity—reducing friction, improving tooling, and enabling teams to ship features faster and more safely - Establish and maintain high standards for latency, reliability, and quality across the platform - Partner closely with product engineering, infrastructure, and leadership to align platform investments with product priorities - Create clarity and direction in a fast-moving, ambiguous environment where priorities shift as Claude.ai evolves - Build a culture of technical excellence, collaboration, and continuous improvement within your team You may be a good fit if you - Have 10+ years of software engineering experience, with significant time spent building platforms, developer tools, or infrastructure for consumer-facing products - Have 5+ years of engineering leadership experience, including managing and growing teams in high-growth environments - Have deep expertise in modern web development stacks (React, Next.js, TypeScript) - Are passionate about developer experience and have a track record of building tools and systems that make other engineers more productive - Have strong opinions on reliability, observability, and performance—and know how to operationalize those opinions at scale - Can balance technical depth with strategic thinking, staying hands-on while also setting long-term direction - Thrive in ambiguity and can create structure and clarity for your team when the path forward isn't obvious <
Staff+ Software Engineer, Claude App Infrastructur...
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 Claude App Infrastructure owns the reliability, experience, and agentic capabilities of claude.ai. We're the platform team for Anthropic's flagship consumer product, responsible for the serving architecture that keeps Claude available at scale, the conversation experience, and the infrastructure that lets every product team at Anthropic ship into claude.ai safely and fast. When the product grows at hyper scale, we're the team that makes sure it feels the same or better. Beyond the foundation, we're building the agentic layer that turns claude.ai from a chat surface into an execution surface: task execution, personalization, browser use, and server-side tools. This is where the next generation of the product gets built: the primitives that let Claude act in the world, not just respond. We believe reliability and velocity are the same problem, and our job is to build the systems that make both inevitable. Key responsibilities - Design and build sandboxed compute environments where Claude can safely execute code, access tools, and interact with external services - Build state management systems for long-running agent tasks, handling checkpoints, recovery, and resumption across failures - Develop authentication and authorization frameworks for delegated access, so Claude can act on behalf of users securely - Create observability and debugging tools for agent execution, so we understand what Claude did, why, and how to make it better - Partner closely with product and research teams to define what's possible and ship it Minimum qualifications - Experience building distributed systems, infrastructure, or platform services at scale <li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="22:1-2
Software Engineer, Workload Enablement
About the Team The Scaling team is responsible for the architectural and engineering backbone of OpenAI’s infrastructure. We design and deliver advanced systems that support the deployment and operation of cutting-edge AI models. Our work spans system software, networking, platform architecture, fleet-level monitoring, and performance optimization. About the Role We’re hiring an SW Engineer to enable production workloads and end-to-end testing on new platforms. This role will include creating new test harnesses and platform stress benchmarks, porting existing inference and training workloads to new, sometimes early-access, systems/hardware, analyzing performance and bottlenecks, and characterizing the end-to-end behavior of new systems (compute, comms, storage, control plane, and failure modes). Key Responsibilities - Port and validate key inference and training workloads on new platforms/SKUs as they arrive; drive correctness, performance, and stability to an internal readiness bar. - Build a suite of benchmarks and stress tests that capture real E2E behavior of our workloads by exercising all aspects of a system, including CPU, GPU, memory subsystem, frontend, scale-up, and scale-out networking (including WAN traffic, NVlink and RDMA collectives), storage, thermals, and any other relevant parts. - Deep-dive performance on distributed training/inference: - Collective performance and tuning (across NCCL/RCCL and internal libraries) - Overlap of compute/communication, kernel-level bottlenecks, memory bandwidth and scheduling effects - Create repeatable test harnesses that run in CI / lab environments and produce actionable outputs (pass/fail, performance score, regression detection). - Partner with systems + fleet bring-up engineers to ensure the platform is not only stable and performant, but also operationally usable and scalable (containerization, K8s integration, telemetry hooks, failure triage loops). - Work cross-functionally with vendors and internal stakeholders by producing clear bug reports, minimal repros, and prioritized issue lists. Qualifications - BS in CS/EE (or equivalent practical experience). - 5+ years in one or more of: ML systems, performance engineering, distributed systems, or HPC. - Strong hands-on experience with: - PyTorch and modern LLM training/inference stacks - Large-scale distributed training concepts (data/model/pipeline parallel, collective comms) - Experience with RDMA and debugging/optimizing comms libraries (NCCL or RCCL) and their interaction with hardware/network - Proficiency in Python plus comfort reading/writing performance-critical code (C++/CUDA/HIP is a plus). - Strong profiling/debugging skills (e.g., Nsight, rocprof, perf, flamegraphs; ability to reason from traces/counters). Preferred Skills - Experience building workload-shaped benchmarks and stress/fault tests that correlate to production behavior (not just synthetic loops or microbenchmarks). - Familiarity with RDMA networking and transport tuning; understanding of how network topology and congestion impact collectives. - Experience running and validating workloads in Kubernetes, and bridging “research code” into robust, repeatable infrastructure. - Hands-on lab experience with early hardware (new NICs, new GPUs/accelerators, early racks). 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, AI Reliability Engineerin...
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 Claude has your back. AIRE has Claude's. Help us keep Claude reliable for everyone who depends on it. AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths -- every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects. Reliability here is an emergent phenomenon that transcends any single team's boundaries, so someone has to zoom out and look at the whole picture. That's us -- and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most. Responsibilities - Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity. - Design and implement monitoring and observability systems across the token path. - Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud providers - Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements. - Support the reliability of safeguard model serving -- critical for both site reliability and Anthropic's safety commitments. You may be a good fit if you - Have strong distributed systems, infrastructure, or reliability backgrounds -- we're looking for reliability-minded software engineers and SREs. - Are curious and brave -- comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don't have deep expertise yet. - Think holistically about how systems compose and where the seams are. - Can build lasting relationships across teams -- our engagement model depends on being welcomed as teammates, not outsiders with opinions. - Care about users and feel ownership over outcomes, even for systems you don't own. - Have excellent communication and collaboration skills -- you'll be partnering across the entire company. - Bring diverse experience -- the team's strength comes from people who've built product stacks, scaled databases, run massive distributed systems, and everything in between. Strong candidates may also - Have been an SRE, Production Engineer, or in similar reliability-focused roles on large scale systems - Have experience operating large-scale model serving or training infrastructure (>1000 GPUs). - Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium). - Understand ML-specific networking optimizations like RDMA and InfiniBand. - Have expertise in AI-specific observability tools and frameworks. - Have experience with chaos engineering and systematic resilience testing. - Have contributed to open-source infrastructure or ML tooling.
Account Director, FSI - Japan
About the Team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the Role Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy. You’ll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. This role is based in Tokyo, Japan. 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: - Manage ~dozen key accounts in the Financial Services Industry, developing and executing strategies for a comprehensive account plan. - Lead our enterprise prospects’ journeys from consideration to successful deployment. - Partner with solutions and research engineering to build and execute complex customer programs and projects. - Own a consumption revenue target. - Manage consumption revenue forecasts. - Analyze key account metrics to create reports and provide insights to internal and external stakeholders. - Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies. - Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering. - Support the recruitment and onboarding of other teammates. - Support the development of company culture. We're seeking someone with experience including: - 7+ years selling platform-as-a-service and/or software-as-a-service in the Financial Services Industry. - Native-level Japanese language proficiency. - Achieving revenue targets >$1M per year for more than 3 years - Designing and executing complex deal strategies. - Supporting the growth of fast-growing, high-performance companies - Working directly with c-level executives. - Communicating technical concepts to customers and internal stakeholders. - Leading high-visibility customer events (CAB, conferences, product launches, etc.). - Gathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligence. You might thrive in this role if you: - Are customer-centric. You are motivated to deeply understand your customer’s priorities and help them achieve their vision for using our models to improve their products and services. You build strong relationships with executives and professionals across functions and serve as a trusted advisor. - Have a passion or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future. - Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision. - Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions. - Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy. 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, Caching Infrastructure
About the Team At OpenAI, we’re building safe and beneficial artificial general intelligence. We deploy our models through ChatGPT, our APIs, and other cutting-edge products. Behind the scenes, making these systems fast, reliable, and cost-efficient requires world-class infrastructure. The Caching Infrastructure team is responsible for building a caching layer that powers many critical use cases at OpenAI. We aim to provide a high-availability, multi-tenant cache platform that scales automatically with workload, minimizes tail latency, and supports a diverse range of use cases. We’re looking for an experienced engineer to help design and scale this critical infrastructure. The ideal candidate has deep experience in distributed caching systems (e.g., Redis, Memcached), networking fundamentals, and Kubernetes-based service orchestration. In This Role, You Will: - Design, build, and operate OpenAI’s multi-tenant caching platform used across inference, identity, quota, and product experiences. - Define the long-term vision and roadmap for caching as a core infra capability, balancing performance, durability, and cost. - Collaborate with other infra teams (e.g., networking, observability, databases) and product teams to ensure our caching platform meets their needs. You Might Thrive In This Role If You: - Have 5+ years of experience building and scaling distributed systems, with a strong focus on caching, load balancing, or storage systems. - Have deep expertise with Redis, Memcached, or similar solutions, including clustering, durability configurations, client-side connection patterns, and performance tuning. - Have production experience with Kubernetes, service meshes (e.g., Envoy), and autoscaling systems. - Think rigorously about latency, reliability, throughput, and cost in designing platform capabilities. - Thrive in a fast-paced environment and enjoy balancing pragmatic engineering with long-term technical excellence. 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.
AI Product Manager
Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world’s most important decisions We’re looking for an AI Product Manager to own one of the Agent & Reinforcement Learning Environments data verticals, with a focus on Computer Using Agent (CUA) data . In this role, you’ll oversee the product roadmap for your data vertical, owning “data as a product”, pipelines for data generation and quality, and researcher-facing tools that help labs train and evaluate intelligent agents in complex environments. You’ll work directly with Scale’s most important customers and their leading researchers, representing Scale as the technical expert for your products and influencing both internal and external roadmaps. The ideal candidate brings together a strong entrepreneurial & go-to-market mindset, technical depth, and a sense for AI research, enabling them to get in front of technical stakeholders to drive mission-critical outcomes. You will: - Own the roadmap for the Agent & RL Environment Data vertical, setting product direction and driving execution across engineering, operations, and go-to-market teams. - Build technical partnerships with research teams at leading AI labs, identifying insights that shape new product lines and competitive strategies for your vertical. - Design, experiment with, and deliver high-quality data pipelines, tooling, and evaluation frameworks that advance RL and agentic model capabilities. - Scope out and scale the creation of RL environments that simulate real-world use cases. - Collaborate cross-functionally , influencing business priorities and diving in the weeds of research, operations, and customer interactions. Ideally, You’d Have - Entrepreneurial mindset: A builder excited by ambiguity and motivated to create new products from the ground up. - 6+ years of experience in product management or a customer-facing role. - Technical fluency: Software engineering background (a degree in computer science or equivalent experience). - Understanding of reinforcement learnings, simulation environments, or data pipelines for model training and evaluation - Strong customer intuition and the ability to translate technical requirements into impactful product decisions. - Bias for action and comfort wearing multiple hats and operating in fast-moving environments. 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 locat
Partner Applied AI Engineer
About the team The Partner Applied AI Engineer team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post-sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer’s industry and to drive these initiatives from prototype to production through hands-on technical guidance and partnership. As a Partner Applied AI Engineer, you’ll support systems integrators and their most strategic customers transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models. About the role We are looking for a driven solutions leader with a product mindset as one og the the founding Partner AIE to own the technical engagement with our systems integrators (including GSIs, RSIs, and boutique SIs) and ensure their customers achieve tangible business value with GenAI. You will help partners identify high-value use cases and provide technical enablement through the implementation of AI solutions. Your efforts will accelerate partners’ time to unlock distribution and adoption, ensuring they deliver exceptional results for our joint customers while maintaining high-quality standards. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Head of Solutions Architecture. This role is based in San Francisco, CA or New York, NY. 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: - Deeply embed with GSIs, RSIs, and boutique SIs as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API for their customers. - Work with senior SI and customer stakeholders to identify the best applications of GenAI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap. - Intervene directly to accelerate customer time to value through building hands-on prototypes and/or by delivering impactful strategic guidance. - Forge and manage relationships with SI and customer stakeholders to ensure the successful deployment and scale of their applications. - Codify solution packages and architectural patterns to accelerate time to deployment for customers and partners. - Lead technical support during partners' initial projects to ensure successful implementations and mentor their technical teams towards self-sufficiency in delivering OpenAI-powered solutions. - Scale the Partner Solutions Architect function by sharing knowledge, codifying best practices, contributing resources to our open-source repositories, and publishing resources to internal and external knowledge bases. - Validate, synthesize, and deliver high-signal feedback to the Product and Research teams. You’ll thrive in this role if you: - Have 8+ years of technical consulting (or equivalent) experience, managing C-level technical and business relationships with complex global organizations. - Have led complex technical projects and programs with many stakeholders, ideally within or through an SI. - Have industry experience in programming languages like Python or Javascript. - Have led complex implementations of Generative AI and/or traditional ML solutions. - Have built and/or delivered prototypes using the OpenAI API. - Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders. - Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done. - 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.
Head of Enterprise Sales - Industries, ANZ
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 Head of Enterprise Sales, Industries ANZ at Anthropic, you will spearhead the strategic development and execution of our AI products, including Claude, across Australia and New Zealand. This role represents a critical leadership position in expanding Anthropic's presence in one of the world's most sophisticated and rapidly evolving technology markets. You will establish and lead a specialised team of enterprise sales professionals across the ANZ region, creating our foundational sales infrastructure for the enterprise customer segment. After successfully establishing our regional presence, this role will likely evolve to focus on specific verticals or sub-segments as we scale our ANZ operations. Your responsibilities will encompass building the sales team, developing strategic partnerships with enterprise customers, collaborating with our Product team to ensure regional market fit, and maintaining alignment with our global headquarters strategy. This position requires deep enterprise sales expertise — preferably with exposure to AI technologies — and the ability to navigate the regulatory, commercial, and cultural landscape of the Australian and New Zealand markets. Responsibilities - Develop and execute a comprehensive ANZ go-to-market strategy for enterprise customers across key industry verticals - Build and lead a high-performing, sustainable enterprise sales team and motion across Australia and New Zealand, including executing against a predefined list of strategic target accounts - Establish strategic partnerships with major technology partners and cloud providers active in the ANZ market - Collaborate with Product, Marketing, and Customer Success teams to adapt Anthropic's offerings for the ANZ market - Conduct market analysis to identify opportunities and refine our regional approach across key verticals (financial services, resources, healthcare, government, retail, and more) - Navigate complex, multi-stakeholder sales processes within large organisations - Craft and execute strategies to differentiate Anthropic and capture market share, addressing the unique challenges of being a second-mover in the AI industry - Ensure alignment between regional operations and global corporate strategy, representing ANZ's priorities to local and global leadership - Represent Anthropic with key customers and across partner events, communicating our trust and safety principles effectively - Ensure our trust and safety principles are effectively communicated to enterprise clients across the region You May Be a Good Fit If You Have - 15+ years of experience in enterprise sales, with at least 5+ years in leadership roles managing large-scale sales operations for Industries across ANZ - A proven track record of success in enterprise sales, particularly in selling technical API products, cloud services, or SaaS solutions - Experience selling through partner sales motions and ideally through cloud partners (AWS, Azure, Google Cloud) - Demonstrated ability to build and scale enterprise sales teams
Proposals Manager
Scale is a rapidly growing, venture-backed startup that is changing the way organizations around the world build AI applications. We are looking for a highly driven and operationally focused Proposals Manager to support our growing Public Sector business, with a particular focus on delivering AI/ML solutions to the U.S. Federal Government. Proposals Manager (Public Sector) Scale is at the forefront of enabling the next wave of AI/ML technologies for the U.S. government, and we are expanding our Public Sector Proposals team to help drive this mission. This position requires a self-motivated, independent operator who is deeply analytical, hands-on, and able to thrive in a rapidly changing, high-stakes environment. You must be comfortable taking ownership of your work and driving initiatives forward with exceptional written communication skills. Responsibilities: - Manage the end-to-end proposal development process for U.S. Federal opportunities, including RFPs, RFIs, BAAs, and unsolicited proposals. - Drive the creation of compelling, compliant, and customer-focused proposal narratives that clearly articulate Scale’s technical solutions, differentiators, and value. - Collaborate with GTM, engineering, product, security, and legal teams to gather technical inputs and translate them into accessible proposal language. - Ensure compliance with Federal Acquisition Regulations (FAR/DFARS), solicitation requirements, and agency-specific guidelines. - Develop and manage proposal schedules, assignments, and workflows to ensure timely submission of high-quality responses. - Maintain and expand a reusable library of proposal content, past performance references, resumes, and templates to streamline future responses. - Coordinate and facilitate color team reviews, compliance checks, and executive approvals. - Track and analyze win/loss outcomes, capturing lessons learned to improve future proposal strategy and execution. Requirements: - 3–6+ years of experience in Federal proposals management, ideally with technology, defense, or AI/ML organizations. - Eligible for a U.S. Top Secret security clearance. - Proven ability to lead complex, deadline-driven proposals in compliance with government solicitation requirements. - Demonstrated ability to manage multiple concurrent proposals under tight deadlines with strong organizational and project management skills. - Exceptional writing, editing, and storytelling skills, with the ability to simplify complex technical information for diverse audiences. - Strong knowledge of government contracting processes, FAR/DFARS compliance, and proposal best practices (Shipley or equivalent). - Experience collaborating cross-functionally with sales, technical, and executive stakeholders. - Strong attention to detail and ability to manage compliance matrices, checklists, and review cycles. Nice to have: - Prior experience supporting proposals for AI/ML, data science, cloud, or advanced technology offerings. - Familiarity with government acquisition pathways such as OTAs, SBIRs, BAAs, and IDIQ task orders. - Active U.S. security clearance (Secret or higher). - Experience in a startup or high-growth environment. <div class="content-
B2B Marketing Lead Nordics
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 the NORDICS Region. 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, 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 NORDICS B2B 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 Spanish and Italian business cultures. REQUIREMENTS - One of the 4 Nordic languages is a must - Fluent English speaker. - Ownership Pedigree: You have implemented marketing projects from start to finish and held yourself acc
Lead Employment Counsel
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 an experienced Lead Employment Counsel to join our Legal Team. In this role, you’ll partner with the People team and other stakeholders to advise on global employment law issues spanning the full lifecycle of employment relationships. You’ll also develop employment policies and procedures to support the company as we continue to scale. You’ll work closely with global colleagues to provide practical, business-oriented advice while managing risk across multiple jurisdictions. RESPONSIBILITIES - Advise and collaborate with the People team and other stakeholders on a range of employment law matters in various jurisdictions, including contract negotiation, onboarding, performance management, and termination. - Offer clear, pragmatic, business-focused legal advice. - Devise and manage employment practices, policies, and procedures that can be executed efficiently in a growing global company and reduce employment-related legal risk. - Manage and work with outside counsel across the globe. - Stay current on global employment laws and regulations, advise the Company on applicable changes, and propose updates as necessary. WHO YOU ARE - Curious about the future of AI and emerging technologies, have a strong sense of ownership with enthusiasm for applying your legal expertise in a cutting-edge, global company. - Experienced in navigating fast
Deployment Engineering Manager, Enterprise
At Scale AI, our mission is to accelerate the development of AI applications. For 10 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About our Enterprise Team: Our team owns the full deployment lifecycle of SGP in live customer environments — from initial rollout through long-term operational health. We work cross-functionally with customers, GTM, product, and infrastructure to ensure every deployment is production-ready, secure, and built to last. We’re looking for an Infrastructure Engineering Manager to help shape the future of AI-powered applications. In this role, you’ll bridge the gap between AI research and production, leading a team that is turning innovative prototypes into scalable, high-performance enterprise solutions. Your team will work on interactive AI applications, enterprise SaaS products, and platform capabilities that redefine how businesses leverage AI. We don't just ship and move on. We stay close to the customer experience, translating real-world deployment challenges into platform improvements, automation, and scalable playbooks that make every future rollout smoother than the last. If you're energized by solving complex technical problems at the intersection of customer impact and platform excellence, this is the team for you. Responsibilities: - Define and execute the infrastructure roadmap aligned with business and engineering priorities. - Lead the design and implementation of scalable, secure, and reliable infrastructure systems. - Set and maintain SLAs/SLOs for platform uptime, performance, and developer experience. - Manage the engineering team and drive technical delivery - Design, build, and optimize backend services for advanced AI-driven applications, focusing on AI agents, evaluation tooling, and automation - Influence the culture, values, and processes of a growing engineering team - Inspire and mentor engineers. - Work closely with product, security, and engineering leadership to align on goals and priorities. Requirements: - At least 5 years of relevant experience and at least 2+ years of experience managing infrastructure or platform teams. - Proven experience with cloud platforms such as AWS, GCP, or Azure. - Deep understanding of CI/CD pipelines, infrastructure-as-code (e.g., Terraform, Pulumi), and container orchestration (e.g., Kubernetes). - Experience managing production environments with high availability, reliability, and scalability requirements. - Familiarity with monitoring, alerting, and incident response best practices. - Experience working with modern developer platforms and internal tooling to improve engineering velocity. 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 intervi
Intern - Gen. AI Art
Scopely is looking for a creative and enthusiastic AI Art (2D) - Intern to join our Casino team in Bangalore on a hybrid basis . At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. The GSN Casino team is home to slots, bingo, cards, and more! Work on incredible games, including a top-10 grossing app, alongside the best in the business. What You'll Be Doing: This internship offers a unique opportunity for aspiring artists to explore the exciting intersection of traditional artistic principles and cutting-edge AI technologies. - Contribute to the creation of high-quality 2D visual assets using an AI-assisted pipeline. - Utilize generative AI software such as Stable Diffusion, Chat GPT and Scenario to generate and enhance visual content. - Work closely with experienced artists to ensure AI-generated artwork aligns with project objectives. - Assist in documenting processes and effectively communicate progress and insights to the team. - Stay informed about the latest developments and trends in AI art technology. - Refining and editing AI-generated outputs in Photoshop based on feedback, while ensuring adherence to artistic standards. - When required, the artist should be capable of creating concept sketches or mashups, which can then be further developed using AI tools. What We're Looking For: - Fundamental knowledge of art principles, including composition, lighting, color theory, and anatomy. - Familiarity with digital art software like Photoshop. - A strong interest/passion in or basic understanding of AI art tools (e.g., Stable Diffusion, Midjourney). - A proactive attitude and ability to learn and collaborate effectively within a diverse team. Bonus Points For: - Basic familiarity with Unity for integrating assets. - Exposure to 3D modeling tools (Blender, ZBrush). - Interest in mobile game development and Agile methodologies. Join us to be part of the innovative world of AI-driven creativity and make contributions to popular games enjoyed by a global audience! At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure! About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and liv
Country Lead, Data Center Security
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 Data Center Security Engineering team owns physical security for the data centers where our AI systems are built and run from greenfield construction through live operations, across our own and partner-operated sites. As our footprint grows internationally, we're hiring our first security operations presence in Australia. This is a country-lead role as the senior DCSE presence in Australia with a deliberate tilt toward security systems and systems architecture. You'll be the on-the-ground owner of day-to-day security operations for the region, and you'll also be the technical owner of the systems those operations run on: access control, video management, intrusion detection, and visitor management platforms and, just as importantly, the way they integrate. We want someone who thinks in data flows and system interfaces, not just devices You'll help design and build toward that architecture while keeping regional operations running with high reliability. You'll work closely with US-based security engineering and operations teams, with the time-zone offset as a feature: this role anchors coverage and escalation when the US is offline, and may help stand up a regional 24/7 monitoring capability as the program matures. Key responsibilities - Serve as the regional operations lead for data center physical security in Australia: run site security programs, coordinate with site operators and contract guard forces, and own in-region incident response and escalation - Administer and operate the region's electronic security systems access control, video management (VMS), intrusion detection, and visitor management including configuration, health monitoring, and lifecycle management - Design and document security systems architecture: device schedules, integration points, data flows, and network topology for security infrastructure at new and existing sites - Build and maintain integrations that bring security data sources (video, access events, alarms, sensors) into centralized monitoring and analysis platforms - Support construction-phase security for new builds and modular deployments in region: design reviews, commissioning of security systems, and security gates before handover - Manage regional security vendors and integrators scoping, delivery quality, and accountability - Write and maintain the operational backbone: post orders, standard operating procedures, and audit-ready documentation for regional security controls - Provide after-hours coverage and structured handoffs to US-based teams as part of follow-the-sun security operations Minimum qualifications - Hands-on experience administering enterprise physical security systems, including access control platforms and video management systems (e.g., Genetec, Lenel, Milestone, C•CURE, or comparable) - Experience running physical security operations at data centers, critical infrastructure, or comparable high-security facilities - Ability to produce and work from security design documentation: drawings, device schedules, and network diagrams - Remote within N
Associate Principal Computational Biologist, Neuro...
Your work will change lives. Including your own. The Impact You’ll Make As a key member of Recursion's partnership-facing data science team, you will be at the forefront of reimagining drug discovery from first principles using Recursion’s massive data and compute capabilities. As senior computational biologist, you will be supporting a portfolio of partnership preclinical drug programs and be responsible for designing and executing analyses to support target nomination, validation, and early programs in neuroscience diseases. You will integrate layers of Recursion platform data (phenomics, transcriptomics, proteomics, etc) to validate the link between target and disease biology and to propose targets and early programs in novel areas of neuroscience. You will partner with biologists and medicinal chemists to build supporting data packets for targets from our phenomic maps, target screens, and partnered patient data sets. You will also collaborate with computational scientists from across the organization to develop, deploy, and scale novel approaches to: 1) translational validation in hit to lead, 2) mechanism-of-action identification/de-risking, and 3) build evidence for patient connectivity to match the targets we are validating and medicines we are creating to the patients who need them. In this role, you will: - Deliver biological insights on therapeutic candidates and disease biology from the analysis of high-dimensional (phenomics, transcriptomics, proteomics, patient-derived) datasets that support clinical development planning - Evaluate the biological and molecular evidence for therapeutic hypotheses and accelerate drug program progression into the clinic - Synthesize diverse datasets (internal and external) to generate and evaluate hypotheses for drug discovery, biomarker development, mechanism of action and target population identification - Present data analysis to decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients - Assess new data sources, develop and scale new analysis methods, and support key program decisions with the ultimate goal of bringing life-changing therapies to patients at unprecedented speed - Industrialize analysis approaches to not only solve for the current project, but also to accelerate future projects and scale the impact that we can have - Collaborate cross-functionally with Recursion’s data science, biology, medicinal chemistry, and platform, teams to further advance Recursion’s ability to interpret and translate large-scale data assets into therapeutic programs The Team You’ll Join Our group is a bold, agile, diverse collective of computational drug discovery scientists and data scientists deeply focused on the singular goal of bringing new therapeutics into the clinic at an accelerated pace. We are a computational group that spans precision oncology, neuroscience, and I&I (immunology and inflammation), and focuses on advancing novel, targeted therapies for these disease areas. We partner closely with our biologists and medicinal chemists to design and execute impactful and decisional data analysis for multiple programs
Member of Technical Staff (Forward Deployed Engine...
ABOUT PERPLEXITY AI Perplexity is an AI-powered answer engine built to serve the world’s curiosity with fast, trustworthy answers grounded in the live web and backed by clear citations. It combines multiple leading models with real-time search to synthesize up-to-date, source-linked responses instead of traditional search results. On top of this foundation, Perplexity is rolling out Computer, a general-purpose AI worker that can use software like a human to research, build, and execute end-to-end workflows for users. ABOUT THE ROLE Perplexity is building AI systems that integrate directly into how enterprises operate. Our API Platform powers search, retrieval, and automation across structured and unstructured data, while Perplexity Computer extends this into the execution of an AI system that navigates tools, interacts with applications, and completes multi-step workflows. Together, these platforms form a new integration layer, connecting models, data, and enterprise systems into end-to-end workflows. We’re looking for Forward Deployed Engineers to work directly with customers to design and deploy these integrations in production. You’ll embed with teams, connect Perplexity into their existing stack, and build systems that automate real work. This role spans two closely connected areas: - API Platform: integrating search, retrieval, and AI capabilities into enterprise systems - Perplexity Computer: deploying agentic workflows that operate across tools, applications, and data Perplexity’s platforms are redefining how AI is integrated into enterprise operations. You’ll work on cutting-edge AI systems, building end-to-end workflows and integrations that solve real business problems at scale. This is a unique opportunity to influence both product and adoption, embed AI deeply in enterprise workflows, and shape the future of how organizations operationalize AI. KEY RESPONSIBILITIES - Design, build, and deploy end-to-end integrations between Perplexity and enterprise systems (data platforms, internal tools, SaaS applications), translating business workflows into production-grade AI systems - Work directly with customer teams to embed AI into existing processes, owning deployments from initial architecture through production rollout and ongoing optimization - Develop and operationalize integrations using APIs, event-driven architectures, and workflow orchestration, including deploying Perplexity Computer for multi-step, agent-driven workflows across tools and environments - Design and build production systems that combine retrieval, reasoning, and execution across enterprise environments, applying deep expertise in LLM capabilities, implementation patterns, and the AI stack to drive performance, security, and customer impact - Debug and resolve issues across APIs, infrastructure, and external dependencies, ensuring reliability, performance, and scalability in production - Prototype new integration patterns and build reusable architectures that accelerate adoption across customers - Partner with Sales and Product to unlock new use cases, drive expansion, and translate deployment learnings into product and platform improvements QUALIFICATIONS - 5+ years of experience in software engineering, forward deployed engineering, solutions engineering, or similar roles, with a track record of building and shipping production systems in customer-facing environments - Strong programming ability in Python (plus one of JavaScript/TypeScript, Java, etc.) with experience developing integrations, prototypes, and scalable applications - Deep experience with APIs and distributed systems, including authentication, latency optimization, and debugging across complex, multi-system environments - Production experience building LLM-powered systems, including prompt engineering, agent workflows, evaluation, and deploying AI systems at scale - Proven ability to design and implement automated, end-to-end workflows that integrate across enterprise systems and rep
People Programs, M&A Lead
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a senior M&A People Program Manager to own the People side of our M&A program end-to-end. The People PMO is a nimble team of organizational architects who take the company's most pressing people and culture challenges from 0 to 1 and we need a senior operator who doesn't just run deals but also defines how this company does the People side of M&A. In this role, you'll act as Corporate Development's strategic counterpart on all things People: shaping deal decisions (structure, timing, retention strategy, people cost) from the earliest stages, leading the most complex acquisitions yourself, and setting the direction, standards, and playbooks for all People-side M&A work. You’ll be the second member of the team coordinating across Recruiting, People Partners, People Operations, Workplace, Immigration, Employment Legal, and Internal Comms, and you'll build the durable program infrastructure that makes each deal go more smoothly than the last. This is a role for someone who can operate on year-long horizons with minimal direction, drop into deal-level detail when timelines compress, and represent Anthropic credibly in rooms where the deal is on the line. Key responsibilities Program ownership & strategy - Own the People-side M&A program end-to-end: strategy, operating model, standards, and outcomes across all deals, from earliest deal discussions through 90-day integration and retro. - Act as Corp Dev's strategic counterpart on People matters: Inform deal structure, timelines, retention strategy, entity decisions, and people-cost implications early enough to shape outcomes, not just react to them - Set the long term direction for the program: where we invest in infrastructure, what we standardize, and how the function should evolve. Leading the most complex deals - Serve as the People-side DRI for our largest and most complex acquisitions — multi-entity or international deals, larger teams, concurrent transactions, and situations with significant retention or sentiment risk - Sequence interdependent workstreams (immigration, offers, entity setup, onboarding, benefits, internal comms) correctly under compressed timelines, and keep the acquiree experience strong even when plans change - Anticipate downstream risk from upstream deal decisions and raise flags early — with options and trade-offs, not just problems Direction-setting and quality across the program - Set the standards, templates, and decision frameworks that all People-side M&A work follows, in partnership with the existing team. - Build credibility and operating rhythms with senior stakeholders across Corp Dev, Legal, Finance, and People so the right people mobilize quickly when timelines compress - Level up the broader People team's ability to execute M&A confidently through documentation, retros, and coaching-by-doing Systems & program infrastructure - Build the infrastructure that doesn't exist yet — int
Data Scientist, Marketing
Scopely is a global gaming company whose mission is to inspire play every day. The mission of Scopely Explore (formerly known as Niantic) is to inspire people to explore the world, together. We build products that inspire exercise, exploration, and social in-person interaction. We are seeking a quantitatively strong and business-oriented Data Scientist, Marketing to support our global Marketing organization. In this role, you will help develop measurement frameworks, analytical models, and scalable reporting solutions that inform user acquisition, brand investment, direct marketing (CRM), and long-term player growth. This role is ideal for someone who combines strong technical skills with intellectual curiosity and a desire to understand how marketing investments translate into long-term player value. Demonstrated effective use of AI and a forward-thinking mindset into how AI will change day-to-day work in data and marketing is mandatory. Responsibilities User Acquisition (UA) - Build and maintain robust ETL pipelines that ingest, transform, and validate UA data from ad networks, MMPs, and internal systems. - Develop and refine predictive LTV (pLTV) models to enable faster optimization of UA campaigns based on early user signals. - Explore, develop, and refine AI-based systems that are able to answer common data inquiries from stakeholders, as well as quickly diagnose data pipeline issues, etc. - Contribute to marketing mix modeling (MMM) and other aggregate measurement approaches to evaluate cross-channel and upper-funnel impact (e.g. brand) where deterministic attribution is limited. - Support testing frameworks (e.g., geo experiments, holdouts, incrementality tests) to evaluate campaign effectiveness in privacy-constrained environments. - Partner with Finance and UA teams to align on forecasting methodologies and investment strategies driven by pLTV and payback periods. Direct Marketing - Build and maintain reliable datasets and ETL workflows that ingest and transform marketing data from ad platforms, CRM systems, social channels, and internal data sources. - Support measurement and optimization of direct marketing channels including email, push notifications, in-app messaging, and other CRM/lifecycle campaigns. - Partner with Marketing stakeholders to provide actionable insights on targeting, segmentation, messaging effectiveness, and channel strategy. Analytics Infrastructure & Workflow Efficiency - Contribute to scalable dashboards and standardized reporting that enable self-serve marketing analytics. - Ensure data quality, documentation, and consistency across marketing data pipelines. - Leverage modern AI/ML tools (e.g., automated modeling workflows, AI coding assistants) to improve analysis speed, code quality, and documentation. - Identify opportunities to automate recurring reporting and insight generation for marketing stakeholders. - Contribute to responsible and thoughtful adoption of AI-powered analytics tools. Qualifications - 1–5 years of experience in data science, marketing analytics, or a related quantitative role (gaming, mobile, or digital consumer experience preferred). - Understanding of marketing measurement across paid media, brand/awareness, social, and direct marketing channels (e.g., email, push, CRM).</
Staff+ Software Engineer, Full-stack
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai , the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership. You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. What you'll do: Developer Experience: You'll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of what's possible with our models and API. That means building trust through great platform fundamentals, inspiring developers to raise the bar in how they use Claude's capabilities, and accelerating the path to agentic development by designing for both human and AI developers. You'll work closely with teams across the Platform org to turn Claude's newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent. Beneficial Deployments: Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way. Vertical AI Products: Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come: - Financial Services — analysts and bankers across investment banking, asset management, insurance, and corporate finance, building models, memos, and decks under deadline. We're building deeply integrated experiences inside the tools they already use — retrieval, analysis, and document generation that holds up to executive review. <li
Senior Staff Data Scientist - Consumer Relevance
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet. Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes. Reddit's relevance challenges are uniquely complex. Our platform is a deeply interconnected network of communities, contributors, and consumers - where the notion of "relevance" spans personalized content ranking, community discovery, and search across an enormous corpus of authentic, user-generated content. We need a senior technical leader who thrives on these hard problems and can raise the bar for how we measure, evaluate, and improve the quality of recommendations and search results across the entire Consumer organization. As a Senior Staff Data Scientist on the Consumer team, you will be the go-to expert on relevance measurement and evaluation, partnering closely with Feeds and Search ML teams to tackle the most complex ranking, recommendation, and retrieval challenges across Consumer. You will shape how Reddit understands content quality, define the metrics and analytical frameworks that guide relevance improvements, and influence product strategy through rigorous analysis and experimentation. Responsibilities - Serve as the technical authority on relevance metrics and evaluation methodology across Consumer, setting standards for how we measure the quality of feeds, search results, and recommendations in a complex, community-driven environment - Develop metrics frameworks and offline evaluation approaches for ranking and recommendation systems, including proxy metrics that reliably predict long-term outcomes like retention, community health, and user satisfaction - Design and analyze experiments for relevance features, accounting for challenges unique to networked p
Director, Compute & Infrastructure FP&A
About the Role As a Director, Compute & Infrastructure FP&A, you will own and drive the monthly forecasting process for the Compute & Infrastructure org by partnering with various stakeholders across Finance, Accounting, Tax and Engineering. You will play a critical role in planning and forecasting the company’s largest and most complex cost center ( Compute & Infrastructure ). You will collaborate cross-functionally to develop long-range infrastructure investment plans, evaluate build vs. buy decisions, and ensure capital is deployed efficiently to support rapid growth. You will also provide strategic financial guidance through scenario modeling, ROI analysis, and performance tracking, enabling leadership to make high-stakes decisions under uncertainty. What You’ll Do - Own compute financial planning & Forecasting. - Build and manage consolidation models for GPU/CPU capacity, storage, networking, and data center investments. - Translate infrastructure roadmaps into short- and long-term financial forecasts (LRP, annual planning) - Coordinate closely with Corporate FP&A on timelines and process - Present insights on a monthly basis to senior management. - Drive infrastructure investment decisions. - Evaluate build vs. buy, vendor vs. owned infrastructure, and capacity allocation tradeoffs. - Develop frameworks for investment trade-offs to guide executive decision making. - Build scalable tooling & reporting. - Implement stakeholder-facing dashboards to track compute spend, utilization, and efficiency metrics. - Improve visibility into unit economics (e.g., cost per training run, cost per inference, cost per customer). - Drive forecasting accuracy & accountability. - Lead budget vs. actual analysis for compute and infrastructure spend. - Identify key cost drivers (utilization, pricing, efficiency gains) and reduce forecast variance. - Support close & financial reporting. - Partner with Accounting to ensure accurate classification of infrastructure spend (OpEx vs CapEx). - Translate complex infrastructure costs into clear insights for leadership. - Enable strategic decision-making. - Build scenario models to support leadership decisions on capacity scaling, new model launches, and infrastructure investments. - Lead ad hoc analyses on emerging topics. You Might Thrive in This Role If You Have - 10+ years in strategic finance, with experience in infrastructure, cloud, hardware, or compute-intensive environments - 2+ years in investment banking - Must have experience running an FP&A team at the corporate level or business unit level with significant scale. - Strong financial modeling skills, particularly in capacity planning, unit economics, and scenario analysis under uncertainty. - Experience supporting large-scale infrastructure or cloud spend (e.g., AWS/GCP/Azure, GPUs, data centers). - Ability to translate technical concepts (compute usage, model training/inference, system architecture) into financial insights. - Proficiency in Excel/Sheets, SQL, and BI tools (e.g., Tableau); experience with planning systems like Anaplan is a plus. - Strong cross-functional partnership skills, especially with Engineering, Product, and Supply Chain. - Familiarity with AI/ML infrastructure cost drivers and the economics of training and serving models. 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 Applied Scientist
The Applied AI team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection , error outliers and faulty deployment analysis . As an Applied Scientist you will work on building models and algorithms for machine learning powered features within the Datadog platform. You will work closely with our engineering and product partners to explore, build, scale and deliver these features that we incubate within the Applied AI team. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: - Design solutions for our different use cases. You will research and benchmark relevant algorithms to find the best fit for our use-cases - Leverage machine learning algorithms and statistical techniques to build new scalable product features - Develop, deploy and monitor new and existing features to production - Participate in our journal club by reading and presenting the latest academic research papers to the team - Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems - Maintain and monitor the models, services and infrastructure owned by your team - Participate in your team’s on-call rotation Who You Are: - You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or related scientific field or equivalent experience - You have experience working with high-scale systems and datasets including building models, applying machine learning to real business problems, and writing production data pipelines - You can explain complex ideas and algorithms to non-technical audiences - You care about code simplicity and performance - You are excited to work on a user-facing product Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: - Competitive global benefits - New hire stock equity (RSUs) and employee stock purchase plan (ESPP) - Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris - Opportunity to attend and present at conferences and meetups - Intra-departmental mentor and buddy program for in-house networking - An inclusive company culture, ability to join our Community Guilds (Datadog emp
Staff Data Scientist - Ads Measurement, Signals, P...
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’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 teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS. - Define Ground Truth & Evaluation Frameworks: Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph. - Lead Through Cross-Functional and Technical Influence: Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement. Qualifications: Required: - Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research - For M.S. holders: 10+ years of industry experience in applied science or data science roles - For Ph.D. holders: 6+ years of industry experience in applied science or data science roles - Deep understanding of the ads ecosystem - Demonstrated expertise in at least one of the following areas:&l
Senior Software Engineer - Research Platform, Cons...
About the Team The Future of Computing Research team is an Applied Research team within the Consumer Devices group focused on developing new methods and models as we advance forward in our mission of building AGI that benefits all of humanity. As a Software Engineer on the Future of Computing Research team, you will work together with both the best ML researchers in the world and the greatest design talent of our generation to push the frontier of model capabilities. About the Role We are looking for a Software Engineer to join our team to build tools and services that enable AI research, evaluation, and data generation workflows. The best work in this role will start with an ambiguous design question and turn it into working research systems. You will work closely with researchers, designers, and engineers to build the evaluation systems, synthetic data generation pipelines, review tools, and supporting platform services. The goal is to make these workflows easier to create, run, and trust without requiring bespoke engineering support for each new design concept. You will help ensure that research artifacts have a clear lifecycle, runs are reproducible and observable, and results provide useful evidence for product and model-training decisions while the underlying systems remain reliable and reusable. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: - Build web applications, APIs, data models, and backend services for AI research workflows. - Build tools to author and manage evaluation tasks, rubrics, graders, suites, and rollout configurations, including workflows for publishing, versioning, auditing, and sharing research artifacts. - Automate evaluation runs and generate useful reports for design, research, and engineering teams. - Support synthetic data generation workflows for multimodal and conversational research, including tools that combine transcripts, media, and model comparisons. - Translate product and research questions into measurable scenarios, automated graders, and human-evaluation campaigns, and develop measures of task quality, coverage, diversity, and semantic spread. - Diagnose issues across application code, workers, model endpoints, deployments, and compute infrastructure, and improve reliability through health checks, observability, reproducible launch paths, data integrity safeguards, and automated verification. - Lead migrations and dependent changes across research tools, evaluation systems, and supporting services. - Partner closely with designers, model researchers, research engineers, and infrastructure teams, and onboard contributors to create high-quality evaluation and synthetic-data workflows. You might thrive in this role if you: - Have 7+ years of professional software engineering experience. - Have strong full-stack experience across web applications, backend services, APIs, and data models, including ownership of complex systems spanning multiple services or repositories. - Have expertise in generative AI, multimodal models, or model-evaluation systems. - Have built effective internal tools for both technical and non-technical users. - Are comfortable debugging distributed workflows and production infrastructure. - Have strong product judgment and can translate ambiguous requirements into concrete plans. - Are energized by working between designers and researchers in a multidisciplinary team, connecting qualitative judgment to rigorous evidence. - Communicate clearly and work effectively across engineering, design, and research. Nice to have: - Expertise in synthetic data generation, simulation, conversational AI, speech, video, motion, or embodied interaction. - Experience with automated graders, human evaluation, supervised fine-tuning, reinforcement learning, or experiment- and dataset-management platforms. - Operated GPU-backed inference or rollout workloads at very large scale. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Staff + Sr. Software Engineer, Cloud 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 The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources: compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need product-minded backend engineers who can navigate these platform differences, design the services and abstractions that work across providers, and make architectural decisions that keep us reliable and cost-effective at massive scale. Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards. Key responsibilities - Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models - Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps - Build and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions - Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity - Contribute to capacity planning, autoscaling, and workload routing strategies that match supply with demand and direct requests to the most cost-effective accelerator and region - Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications - Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users - Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration - Are curious about LLM serving; prior inference or ML experience is not required - Thrive in cross-functional collaboration with both internal teams and external partners - Have experience working with external partners to align goals and deliver impact - Are a fast learner who can q
Events Lead - LATAM
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 Spanish-speaking Latin America is one of our fastest-growing markets, and we're looking for a highly motivated Events Marketer to lead planning and execution of impactful events across the region. Your work will deepen ElevenLabs' presence, drive brand awareness, and generate high-quality pipeline in partnership with our LATAM marketing 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 playbooks from our global programs while identifying new, high-impact opportunities unique to the region. In this role, you will: - Develop and execute event plans aligned with business objectives across Mexico, Colombia, Argentina, Chile, and beyond - 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 local 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 the region What you bring: - 5+ years events experience, with at least t
Senior AI Engineer
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ENGINEERING - GAMES What We Do Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of engineering experts. We’re always improving on the tools and technology that empower content developers worldwide. What You'll Do We are a new and growing team at Epic, aiming to build innovative new experiences and technology. As a Senior Gameplay AI Engineer, you'll play a critical role on a small, focused team. You'll own core AI features and drive collaborative development between programmers, designers, and artists, working with cutting-edge technologies and talented teams to build impactful experiences from concept to delivery. In this role, you will - Collaborate with art, design, and engine AI teams to create, iterate on, and improve gameplay AI features - Experiment with game design and iterate rapidly, making strong technical and algorithmic decisions - Drive, build, and maintain core AI systems shared in the Fortnite AI ecosystem - Optimize, debug, and maintain gameplay AI systems to deliver high-quality experiences across all supported platforms What we're looking for - Professional game development experience, including shipping AAA titles with AI systems - Experience working with AI systems (Behavior Trees, Finite State Machines, Pathfinding, Animation, etc.) - Excellent C++ skills with experience developing AI gameplay mechanics and tools - Strong knowledge of games with the ability to articulate design strengths and weaknesses - Excellent communication and interpersonal skills - Ability to work independently and manage priorities with minimal direction - Strong problem-solving skills with the ability to find solutions beyond established approaches - Experience working on a live service game is a plus - Interest in online games is a plus EPIC JOB + EPIC BENEFITS = EPIC LIFE Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughou
Principal, Applied AI Enablement, Legal
Know where you belong! Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Hinge, Match, Meetic, PlentyOfFish, OkCupid, The League, HER, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn’t stop at our products - it’s the foundation of every team we hire. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week. The Role The Principal, Applied AI Enablement role sits at the intersection of legal practice and applied AI — closer to an in-house R&D function than a traditional legal team role. This is a role for a tech-forward, innovative, engineer or product builder. You will identify where AI can do legal work that humans do today — or work humans simply cannot do at scale — prototype and ship AI tools and agents to handle it, and iterate with lawyers in the loop until those tools become a real part of how the function operates. This role is about applying AI to the substance of legal work: the research, analysis, judgment calls, contract review, and regulatory tracking that lawyers do every day. This is not a role about optimizing existing processes or rolling out off-the-shelf legal tech. It is a role about building things that didn't exist before — prototyping quickly, evaluating rigorously, and shipping the ones that work. The role sits within Tinder Legal. You'll work with Tinder Legal leadership and team as your primary domain experts and end users, and partner with engineering, product, and other technical teams where deeper infrastructure is needed. Where capabilities you build prove valuable, there is potential to extend them more broadly — first to other Match Group Legal teams, and ultimately across the portfolio. What You'll Do Identify the highest-leverage AI opportunities Spend time inside Tinder Legal and relevant Match Group Legal teams to understand how legal work happens today — product counseling, marketing reviews, contract review and negotiation, and regulatory compliance — with a focus on where AI can do meaningful legal work, not just where workflow improvements would help. Develop a clear point of view on what AI is genuinely capable of in a legal context today, what's just around the corner, and where human lawyers should remain firmly in the loop. Build the case for which opportunities are worth investing in and which aren't, based on impact, feasibility, and legal risk. Build, prototype, and ship AI tools and agents Design and build AI-powered tools — assistants, agents, retrieval systems, evaluators — that handle real legal work end-to-end or in close collaboration with legal team members. Configure and orchestrate these tools across the data and systems they need to be useful (document repositories, knowledge bases, relevant internal sources), working within IT, Security, and Legal Ops-governed infrastructure — not around it. Treat shipping as the starting line: measure quality against human baselines, debug edge cases, tune prompts and pipelines, and iterate as the underlying models and the business evolve. Train, launch, and iterate with the Tinder legal team Work directly with the legal team and end users to onboard them to new tools and workflows, gather feedback, and make those tools genuinely useful — not just technically functional. Develop the documentation, examples, and attorney-facing training that helps legal team members understand both how to use AI tools and where their judgment must remain the decision-maker. These resources focus on substantive AI capability — how to use AI to do legal work better — and are distinct from Legal Ops resources on legal department systems and workflows. Build evaluation harnesses and quality metrics — accuracy against human baselines, hallucination rates, coverage, latency — and use them
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