Search AI Jobs
16,537 published AI roles — filter by keyword, skill, seniority or contract type.
16,537 results
Updated
Platform Security Engineering, Auditor
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're seeking a vulnerability assessment candidate for platform security. You'll work cross functionally with teams across Anthropic and our partners to assess security features in hardware, firmware, bootloaders, operating systems, and attestation systems to identify and remove vulnerabilities from the ground up. This role requires expertise in low-level systems security and the ability to audit the most security-critical platform elements. This is not a role where you can simply file a ticket and hope that the fixes get into production and stay in production. The role requires taking ownership that everything you find is eliminated fully and correctly in production, including ensuring known vulnerabilities are never reintroduced. Key responsibilities - Audit secure boot chains from firmware through OS initialization for diverse hardware platforms (CPUs, BMCs, switches, peripherals, and embedded microcontrollers) - Audit attestation systems that provide cryptographic proof of system state from hardware root of trust through application layer - Audit measured boot implementations and runtime integrity monitoring - Integrate security controls with infrastructure teams without impacting training performance - Validate security mechanisms before production deployment - Conduct firmware vulnerability assessments and penetration testing - Build firmware vulnerability assessment pipelines for continuous security monitoring - Document security architectures and maintain threat models - Collaborate with software and hardware vendors to ensure security capabilities meet our requirements for exploit mitigation Minimum qualifications - Proven track record of conducting hands-on vulnerability auditing on complex, security-critical systems - Hands-on experience with secure boot, measured boot, and attestation technologies (TPM, Intel TXT, AMD SEV, ARM TrustZone) - Strong understanding of cryptographic protocols and hardware security modules - Experience with UEFI/BIOS or embedded firmware security, bootloader hardening, and chain of trust implementation - Proficiency in low-level programming languages (C, Assembly) and systems programming - Knowledge of firmware vulnerability assessment and threat modeling - Ability to work effectively across hardware and software boundaries - Strong communication and cross functional collaboration skills - Track record of assessing security architectures for complex, distributed systems Preferred qualifications - 8+ years of experience in systems security, with at least 5 years focused on low-level security (firmware, bootloaders, and OS kernel-level security) - Capacity to audit for logic bugs in code written in Rust or Go - Ability to find vulnerabilities via reverse engineering in software that is provided only in binary form - Experience performing f
Creator Community Growth
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. IN THIS ROLE, YOU WILL - Build scalable community and ambassador programs and repeatable frameworks that grow the creator ecosystem beyond your own direct reach. - Develop lasting relationships with creators, studios, agencies, and community leaders, becoming a trusted presence in those spaces. - Host and lead creator workshops with brands, agencies, marketing teams, and independent creators across ElevenLabs' creative suite - voice, music, image, and video. - Use data and community insights to track growth, identify what is resonating, and scale what works. Establish a regular reporting cadence and feed what you are hearing directly into product and growth teams. - Represent ElevenLabs at IRL creative meetups, AI events, industry conferences, and community gatherings across the US, and plan owned events ranging from intimate creator dinners to larger community meetups. - Help define and evolve the creator ICP as you learn what types of creators get the most value from ElevenLabs tools and convert into long-term users. Represent the voice of the creator community in internal planning, roadmap discussions, and launch strategy. - Travel regularly across the US for events, workshops, and community activations (up to 50% of your time). YOU WILL THRIVE IN THIS ROLE IF YOU - Are already embedded in creative and AI creative communities. You know the people, the platfo
Events Lead - Brazil
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role Brazil is one of our fastest-growing markets globally, and we're looking for a highly motivated Events Marketer to lead planning and execution of impactful events across the country and broader Brazil-focused GTM motion. Your work will deepen ElevenLabs' presence, drive brand awareness, and generate high-quality pipeline in partnership with our Brazil GM and GTM teams. You'll own the full lifecycle of in-person owned events, third-party tech conferences, executive dinners, workshops, webinars, sponsorships, and strategic partnerships. You'll adapt and localize successful global playbooks while identifying new, high-impact opportunities unique to the Brazilian market. In this role, you will: - Develop and execute event plans aligned with business objectives across São Paulo, Rio de Janeiro, and key Brazilian markets - Organise third-party conferences, owned branded events, and strategic dinners with key customers and prospects - Collaborate cross-functionally with sales, marketing, and GTM teams for seamless execution - Create compelling event messaging that resonates with Brazilian business audiences - Manage event budgets and timelines end to end - Analyze event performance and provide recommendations for future improvements - Build and maintain relationships with sponsors, partners, and vendors across Brazil What you bring: - 5+ years events ex
Senior/Staff Software Engineer, Experience
About Pinecone Pinecone is the knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: The Experience team is at the center of one of the most exciting transitions in software development history — the shift from human-driven to agent-driven product experiences. We own Pinecone's API, clients, authentication, revenue, and observability systems, and right now that means redesigning all of it for a world where AI agents are first-class users alongside humans. This is a wide-scope role. You'll own things end-to-end — from backend architecture to API design to SDK and web surfaces. You’ll be working closely with product, design, and other engineering teams to identify user needs and build the right thing, at the right abstraction level, at the right time. Along the way, you will be building high-leverage platform capabilities that accelerate Pinecone’s product development and user growth systems. We're looking for an engineer who sees this moment for what it is: a rare opportunity to shape how developers and agents interact with a category-defining product. You're not waiting to see how the industry figures out MCP, agentic workflows, and AI-native interfaces — you're already experimenting, already forming opinions, already building. You know that speed and leverage matter more than labor, and you've internalized AI-assisted development not as a productivity trick but as a fundamentally different way of working. Responsibilities: - Pioneer our agent experience. Shape how AI agents interact with Pinecone — designing interfaces, protocols (MCP), and tooling that make Pinecone the easiest and most capable platform for agentic workflows to build on. - Ship end-to-end experiences across API, SDK, CLI, and web. You'll own the full surface, from the HTTP layer to the UI, and you'll make calls across all of it. - Build systems that multiply team output. We care about what ships, not how many hours went into it. Design AI-powered workflows, automated quality gates, and high-leverage platform capabilities that let a small team move at a pace that would otherwise require 10x the headcount. - Set the standard for AI-assisted development on the team. Use the best tools available — Claude Code, Cursor, or whatever works — and help establish patterns that make the whole team faster. - Collaborate with product, design, and engineering to identify what users (and agents) actually need and build it at the right abstraction level, at the right time. - Build observable, auditable systems with monitoring, alerting, and verification mechanisms — because in a high-velocity environment, you need systems that tell you when something's wrong. Requirements: Senior and Staff Engineers at Pinecone operate with high autonomy. You'll be an active partner in setting strategy on APIs, agent interfaces, observability, and developer experience — not just executing on a roadmap. We care more about how you think and how you work than whether your resume checks every box. You should have: - At least 4 years of software engineering experience - A bias toward automation and leverage — you reach for systems and tooling before you reach for elbow grease - Hands-on experience shipping with AI coding tools (Claude Code, Cursor, Copilot, or similar) as a genuine part of your workflow - Proven ability to design and deliver versioned APIs, SDKs, or client libraries - Proficiency building web interfaces with React or similar - Experience with at least one major cloud provider (AWS, GCP, Azure) - Strong intuition for what makes APIs easy for both humans and agents to use correctly Bonus points for: - Experience building
Contracts Manager, EMEA
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 Contracts Manager to join our team in London. Embedded within our in-region commercial and legal operations, you'll work closely with local in-region counsel and lead counsel to support commercial and technology transactions across the region. We'll rely on you to help review, draft, and negotiate commercial and procurement contracts that support our cutting-edge AI systems. You'll also serve as a key partner in translating global legal strategy into regional execution — including supporting the triage of regional matters, rolling out process improvements and initiatives driven from global headquarters, and running local enablement sessions to keep business teams informed and aligned. You'll build scalable contracting processes and collaborate across Product, Sales, Finance, Business Operations, Research, and Procurement teams. Key responsibilities - Draft, analyze, negotiate, and complete complex commercial transactions with our enterprise customers, vendors, and strategic partners, including IP licensing agreements - Propose and develop scalable solutions to improve contracting efficiency - Collaborate with business units and legal team members to streamline contract management processes, identify potential risks, and drive continuous improvement in contract handling efficiency - Collaborate with the Product, Sales, Business Operations, Research, and Procurement teams to achieve key business objectives and deliver strategic, business-minded, and solutions-focused counsel - Partner closely with in-region counsel and lead counsel on day-to-day triage of regional legal matters, ensuring workload is prioritized effectively and seamlessly coordinated between regional and global teams - Drive the regional rollout of process improvements, policy updates, and programs initiated from global headquarters, including planning and facilitating local enablement sessions to keep commercial and cross-functional stakeholders informed and ready to execute - Pitch in across other areas of the legal function — as a small team supporting big things, each of us practices across multiple areas, and we'd love to hear where else your experience or interests could contribute Minimum qualifications - Substantive knowledge of software and SaaS agreements, reseller agreements, services agreements, strategic partnerships, and general commercial contract terms - Ability to independently draft, review, and negotiate complex commercial and procurement contracts - Experience managing the full contract lifecycle for technology transactions, sales organizations, and/or partnerships Preferred qualifications - 8+ years of related contract management experience, with at least 5 years supporting technology transactions, sales organizations,
Partnership Manager, Life Sciences
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Life Sciences team is looking for a Partnership Manager to be the day-to-day owner of our most strategic relationships - partnerships that pair Claude directly with biotech company formation and R&D. You'll be intimately involved in everything we do with our initial cohort of partners. Each of these relationships has its own technical roadmap, its own metrics for success, and a wide set of internal and external stakeholders who need to be managed closely. Our initial partners are bringing real ambition and specificity to what they want to build with us — developing new skills, creating companies, and in some cases rethinking how biotech venture capital itself works. We need someone who can match that level of intensity and excellence as these partnerships kick off and move into execution over the next several months, owning each relationship end-to-end rather than negotiating an ambitious scope and then handing it off to a generalist GTM or Applied AI motion. You'll be the connective tissue between our external partners and Anthropic's Bio research team, working closely with our research team to make sure the skills being developed across partnerships are mapped, shared, and reused, and that learning flows in both directions. Key responsibilities - Serve as the primary day-to-day point of contact and relationship owner for Anthropic's initial, and growing, set of partners, staying closely involved in the substance of each partnership rather than just its logistics. - Own execution of each partnership's technical roadmap and success metrics, tracking progress against commitments and surfacing risks early. - Manage the full set of internal and external stakeholders for each relationship, including technical leads, business sponsors, and executives on both sides. - Act as the connective tissue between partners and Anthropic's Life Sciences research team, working closely with our research team to map the skills being developed across partnerships and ensure cross-functional learning. - Help shape and negotiate the specifics of each partnership's scope — co-development of new skills, company co-creation structures, and novel deal constructs — and make sure that ambition survives the handoff into delivery. - Build the operating rhythms, documentation, and internal processes needed to run high-touch partnerships well today, while laying the groundwork for a more scalable PiaP model
Engineering Manager, Core Services
About the Team The Core Services organization builds and runs the mission-critical online services that product teams rely on in production. We own foundational distributed systems and platform capabilities that enable reliable execution, high-performance services, and large-scale file/data needs across our products. This team is distinct from developer infrastructure and data infrastructure—our focus is production service foundations and core runtime services. About the Role We’re hiring an Engineering Manager, Core Services to help lead teams responsible for highly reliable, high-scale distributed systems that sit on the critical path for OpenAI products. Your team will own foundational production systems that OpenAI’s product engineering teams build on. You’ll collaborate closely with product and infrastructure partners to ship reliable services quickly, and help scale systems and teams as OpenAI grows. You’ll partner closely with senior engineering leaders to scale the org, mature operations, and drive major platform initiatives. This role requires strong technical ability. You’ll be responsible for: - Managing and growing a high-performing team of infrastructure engineers. - Leading teams building and operating large, critical production platforms, including cluster reliability, scaling, and rollout safety. - Building and operating mission-critical distributed systems with strong operational rigor (SLOs, incident response, capacity planning, reliability). - Setting technical direction for platform foundations such as workflow/orchestration capabilities, large-scale file/blob/storage services, and core service foundations. - Partnering with a broad set of stakeholders, including product engineering, adjacent infrastructure teams, and (where relevant) finance/cost partners. - Coaching, mentoring, and developing engineers and emerging leaders. You might thrive in this role if you: - Have significant experience leading teams that run mission-critical infrastructure in production. - Have experience operating mission-critical services or core distributed systems building blocks. - Have built platform-like systems (e.g., orchestration/workflow execution, service platforms) and/or large-scale storage/blob/file infrastructure. - Have experience building systems spanning multiple cloud environments. - Take pride in building scalable, reliable systems and improving operational health. - Own problems end-to-end and can move fast in environments with ambiguity and competing priorities. Workplace & Location - This role is based in our San Francisco HQ. We offer relocation assistance for 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.
Manager, Data Science - AI Product
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The AI Products Data Science org is at the center of next generation products within Figma. With a charge to uplevel Figma’s use of data, the team works alongside other Data Scientists and Engineering to identify ways to implement and democratize new statistical methods, build data frameworks, and incorporate data within Figma’s product development process. The team contributes to the company’s goals by collaborating closely with product managers, engineers, and our finance team to uncover new opportunities, identify inefficiencies and recommend improvements through data-driven insights. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: - Lead, support, and grow a team of data scientists and data science managers with varied strengths and expertise focused on product strategy, internal tooling, and Impact measurement - Champion data quality, accessibility, and the democratization of data across the company - Establish trust within and across teams by creating accountability and a positive work environment in partnership with other leaders in the organization - Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact We'd love to hear from you if you have: - 5+ years of experience managing and leading high-output data science teams, including scaling teams in high-growth environments - 7+ years of experience in Analytics, Data Science, or a related field, with experience working on AI tools or collaborative software - Strong foundation in statistical methods, experimentation, and/or forecasting - Technical curiosity with a willingness to continuously learn and grow alongside your team - A demonstrated desire to build an inclusive and diverse culture While not required, it’s an added plus if you also have: - Experience owning 0 to 1 product areas - Growing junior data science leaders At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the
Staff Software Engineer, Infrastructure Asset Syst...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's infrastructure footprint — datacenters, networking, compute, and facilities — is growing rapidly, and so is the need to track, account for, and govern those assets with precision and confidence. Our finance, accounting, internal audit, and infrastructure teams need a shared, trustworthy view of every asset from the moment it's purchased through receipt, deployment, transfers, and eventual disposal — with the controls, auditability, and reporting required to operate responsibly at scale. We've started building the systems to meet that need, and we're looking for a Staff Software Engineer to join the build and own its ongoing expansion and maintenance. You'll work across a flexible asset data model, a configurable lifecycle and approval workflow engine, reconciliation against our financial and procurement systems, an ad hoc reporting layer, and a compliance backbone of immutable audit trails, role-based access control, and segregation of duties. You'll work closely with the infrastructure teams responsible for managing our fixed assets — understanding how they receive, deploy, move, and retire equipment — and translate those operational and technical requirements into reliable software. You'll also partner with accounting, audit, tax, finance, and procurement teams to ensure the system meets their controls and reporting needs, and you'll help establish the processes by which the team manages a rapidly growing and increasingly complex set of assets. Key responsibilities - Build and extend the systems that track, govern, and report on Anthropic's infrastructure assets: the asset data model, lifecycle state machine, approval workflow engine, reconciliation pipelines, and reporting layer - Build durable, well-tested integrations with our financial and procurement systems as the bidirectional system of record for fixed asset events - Implement and maintain the compliance surface: immutable event logging, tamper-evident audit trails, role-based access control with least-privilege defaults, segregation of duties, and period-close controls - Build internal-facing UI for accounting, audit, and infrastructure teams to receive, transfer, and dispose of assets and to run reconciliations and reports without engineering involvement - Work closely with infrastructure teams responsible for managing fixed assets to understand their workflows and translate operational requirements into software - Partner with accounting, audit, tax, finance, and procurement teams to translate controls and reporting requirements into technical designs and to evolve them as the business changes - Establish and document processes for asset onboarding, data quality, change management, and controls scoping as the asset base grows Minimum qualifications - Proficiency in a compiled, statically typed language such as Go or Rust, with strong object-oriented design fundamentals
Technical Enablement Lead, Claude 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 The Claude Platform ships fast, and every launch lands better when the field can understand it, demo it, and teach it. You'll own platform enablement end to end: the demos, hands-on labs, and technical curriculum that let Anthropic's go-to-market teams showcase the Claude Developer Platform with confidence, whether they're building on Anthropic's first-party API or through Bedrock, Vertex, and Foundry. You'll join roadmap and launch planning with the product team before features ship, so the field has what it needs on day one. You're an engineer who teaches. You've shipped products to users. You know the difference between a demo that raises awareness and one that creates champions. And you get as much energy from watching a seller nail your lab as from building it yourself. Key responsibilities - Turn launches into field-ready content: Translate new platform capabilities (API, tool use and MCP, Agent SDK, memory and skills) into demos, labs, and quick-reference guides within days of release, and build compelling demo scenarios across industries and developer personas - Deliver training that sticks: Run Claude Platform training for technical onboarding and ongoing enablement programs, delivering hands-on sessions wherever the field gathers, from a 12-person lab to a 100-person field-readiness day - Coach the field: Coach technical sellers on demo delivery through practice sessions and office hours - Scale beyond the live session: Develop self-service resources and experimental tools so the field can learn without you in the room, and contribute to the tooling that scales enablement, including demo environments, content-freshness automation, and self-service infrastructure - Close the loop with product: Stress-test new platform features before launch, then bring field signal back to product and product marketing on where sellers get stuck and what content would unlock the next deal - Measure what lands: Track content usage and session feedback so you know what is working and what to retire Minimum requirements - Experience in a customer-facing technical role, such as solutions architecture, sales engineering, developer relations, or technical enablement - Experience writing production-quality code and building technical demos - Hands-on experience building with LLM APIs and agents, including tool use, MCP, or agent frameworks, beyond prompting alone - Experience using AI coding tools as part of your daily engineering work - Experience delivering live technical training or talks to both technical and non-technical audiences - Experience partnering directly with sales, solutions engineering, or other go-to-market tea
Research Engineer, Code RL (Reinforcement Learning...
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 RL Teams Our Reinforcement Learning teams play a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of our latest Claude models. Our work spans several key areas: - Developing systems that enable models to use computers effectively - Advancing code generation through reinforcement learning - Pioneering fundamental RL research for large language models - Building scalable RL infrastructure and training methodologies - Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to write, edit, test, debug, and ship real software — end to end, on real codebases, with real tools — and to do it correctly, fast, and safely. This role blends research and engineering. You'll design RL environments and coding tasks, build the reward signals and verifiers that capture what "good code" means, run training experiments on frontier models, diagnose why a model does (or doesn't) get better at a class of software-engineering work, and improve the speed and reliability of the pipelines that make all of that iterate fast. Code RL spans several focus areas — from agentic coding behaviors and code correctness, to long-horizon autonomous engineering, to high-performance code for accelerators — and we'll match you to the area where you'll have the most impact. You may be a good fit if you: - Have strong software-engineering skills and deep Python expertise, including async/concurrent programming - Are comfortable owning systems end to end and debugging across the stack - Can balance research exploration with engineering implementation, and engage rigorously in shaping experimental design and interpreting results - Care about code quality, testing, and performance - Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems Strong candidates may also have: - Experience with reinforcement learning, RLHF, post-training, or LLM finetuning - Built coding agents, code-execution sandboxes, eval harnesses, veri
Senior Machine Learning Engineer
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 . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: - Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities - Intelligent advertising systems including ranking, bidding, measurement, and optimization - Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals - Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems - Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. What You’ll Do - Design, build, and deploy production-grade machine learning models and systems at scale - Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring - Build scalable data and model pipelines with strong reliability, observability, and automated retraining - Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. - Partner cross-func
Senior Tools Programmer, UI & AI Workflows
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 - UNREAL ENGINE What We Do Unreal-powered projects have been on the bleeding edge of real-time entertainment for over 20 years. Our team of engineering experts are always innovating to improve the tools and technology that empower content developers worldwide. What You'll Do We're looking for a senior Tools Programmer to help build the next generation of UI tooling for users and AI-powered agentic workflows (tools that let AI agents assist with and automate UI creation, iteration, and debugging). You'll shape the systems and frameworks that millions of creators rely on, from WYSIWYG editors to the APIs and runtime UI capabilities used to ship games and tools. In this role, you will - Design, build, and integrate AI-powered tools and frameworks for UI authoring, iteration, and debugging - Own and evolve the UI tech codebase used to build tools and in-game UI in Unreal Engine - Set technical direction for UI tooling and mentor other engineers - Collaborate across disciplines to identify improvement areas, gather feedback, and design solutions for developer needs - Profile and resolve performance and memory issues in UI systems - Work with Epic's internal teams and Unreal Engine licensees to help them solve UI challenges What we're looking for - Strong tools-programming background with experience building tools that improve development workflows in games or other fields - Deep expertise in the UI domain (UI frameworks, runtime UI engines, and editor/WYSIWYG tooling) - Excellent C++ skills and experience working in a large codebase - Some hands-on exposure to AI-powered or agentic workflows, whether through work, courses, or personal projects - Strong written and verbal communication skills in English - Experience with Unreal Engine is a plus - Experience with Slate and/or UMG is a plus - Shipped title experience in games or real-time applications 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
Enterprise Account Executive, Telecommunications
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 an Enterprise Account Executive, Telecommunications based in Tokyo, you'll drive the adoption of safe, frontier AI technology across Japan's government and Telecommunications organizations. You'll own the full sales cycle from prospecting to closing, working with senior leaders to help them modernize the Telecommunications industry and operations with Anthropic's AI solutions. Responsibilities: - Own and exceed revenue targets by winning new major Telecommunications accounts and expanding existing relationships across Japan's government entities and Telecommunications - Build and execute territory plans, identifying high-value opportunities across national government ministries, prefectural and municipal governments, and quasi-governmental organizations - Lead consultative sales processes with senior government officials, procurement leaders, and technical stakeholders, positioning AI as a driver for digital government transformation and improved citizen services - Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver solutions that meet stringent security, compliance, and procurement requirements You may be a good fit if you have: - 8+ years of enterprise sales experience in Japan with significant exposure to Telecommunications sector accounts, driving adoption of emerging technologies with a consultative, solutions-oriented sales approach - A track record of managing complex, long-cycle sales processes and securing strategic deals with government entities by understanding Telecommunications sector procurement requirements and crafting compliant solutions - Demonstrated ability to navigate Telecommunications stakeholder ecosystems, building consensus across multiple departments, budget authorities, and approval layers - Proven experience exceeding revenue targets by effectively managing pipeline across different government fiscal timelines - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player who thrives in ambiguous, startup-like environments - A strategic, analytical approach to identifying opportunities within Japan's Telecommunications sector combined with patient, relationship-focused execution - A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for public benefit - Excellent communication skills in both Japanese and English What We Offer - Competitive base salary and commission structure commensurate with experience - Equity participation - Comprehensive benefits package - Hybrid work model with flexibility - Access to cutting-edge AI technology and world-class research team Logistics Minimum education: Bachelor’s degree
Technical Program Manager, Data Center Infrastruct...
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 You'll drive cross-functional execution of Anthropic's data center programs from construction through commissioning and day-to-day operations. Partnering with our Data Center and Compute teams, you'll own the program management that delivers buildings on time ready for production workloads. As we scale beyond our first sites, you'll focus on accelerating construction and deployment, building repeatable playbooks, and driving continuous improvement across our growing footprint. Responsibilities: - Manage and develop the DC infrastructure TPM team; hire and build out the function as we scale - Lead program reviews and executive communications on delivery status, risks, and blockers - Drive construction-to-production execution across multiple sites, coordinating with partners, contractors, and internal teams - Own overall schedule tracking, risk identification, and mitigation; creating clear visibility for leadership - Align with energy and location strategy and support site selection and due diligence criteria to facilitate scaling well in advance of aggressive compute demand - Manage long pole dependencies and long-lead time development & procurement across a dynamically changing global marketplace - Partner with DC and Compute teams to drive handover criteria between site completion, equipment deployment, and operations - Coordinate with Infrastructure, Security, and Compliance teams on evolving requirements; versioning, optimization, and expansion across sites - Drive partner accountability on contractual milestones and commercial commitments - Coordinate equipment delivery and manage vendor accountability on schedules; tracking production and shipping milestones while maintaining productive partnerships - Build repeatable processes and playbooks that scale across multiple concurrent site deployments - Travel (20%) to sites to validate progress and build contractor relationships You may be a good fit if you: - Have 7+ years in data center construction, operations, or infrastructure program management at hyperscale or critical infrastructure companies - Have management experience building and leading TPM or program management teams - Have led multi-site infrastructure programs with compressed timelines and complex cross-functional dependencies among multiple partners and vendors - Excel at aligning multiple partners, vendors, and internal engineering teams around shared deliverables - Can bridge physical infrastructure and software/security teams - Thrive in ambiguity and make decisions with incomplete information under schedule pressure - Communicate complex program status clearly to executives Deadline to apply: None applications will be received on a rolling basis. The annual compensation range
Member of Technical Staff (Software Engineer, Ente...
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Enterprise Experience team builds the foundation that lets organizations bring that power to every employee with confidence, control, and scale. Enterprise Experience is the team that brings Perplexity into the workplace. You’ll build user-facing products that help organizations adopt products like Computer in practical, everyday tasks, and also guide organization admins to onboard and enable their teams to use Perplexity products effectively. Tech Stack: Python | Go | PostgreSQL | DynamoDB | AWS | TypeScript | React WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Build intelligent products across onboarding, membership management, organization insights, permissions, subscriptions, billing, and usage controls. - Build systems that help organizations manage Perplexity at scale, from first setup through expansion, making it easier for admins to onboard teams, configure features, manage usage, and understand spend. - Collaborate closely with PM, Design, Data Science, Sales, and Enterprise customers to turn complex administrative, billing, and governance needs into simple, reliable product experiences. - Own critical platform primitives end-to-end, from frontend admin flows to backend services, data models, billing integrations, observability, and production operations. QUALIFICATIONS - 4+ years of professional software engineering experience; we’re open to strong junior and mid-level candidates with a track record of shipping. - Backend / Full Stack engineering skills, with experience in designing and building scalable and reliable distributed systems, serving high traffic and a large user base. - Strong execution: you can take ambiguous product needs, break them down, and ship durable systems with clear customer impact. - Experience building product or platform features that require careful data modeling, state management, backend correctness, and high-quality user experience. - Strong product judgment; you can make complex admin, billing, and permissions workflows feel simple and intuitive. - Self-motivated with strong ownership instincts; you identify problems, propose solutions, and drive improvements without waiting for perfect specs. - Genuine interest in AI products and willingness to learn quickly. NICE TO HAVE - Experience building enterprise SaaS products, admin consoles, membership systems, RBAC/permissions, or organization management features. - Experience with subscriptions, billing systems, or usage-based pricing. - Familiarity with security, compliance, or governance concerns in enterprise products. - Experience partnering directly with Sales, Finance, Support, or enterprise customers to solve high-impact product and platform problems. - Time spent at a fast-growing startup or on a high-ownership engineering team.
Distinguished Architect, AI
Datadog is expanding the Technical Solutions (TS) organization by seeking a customer-focused, deeply technical Distinguished Architect to join our Product Solutions Architecture (PSA) team. In this role, you will act as a technical multiplier for the world's leading AI labs and AI-native companies. You will bridge the gap between their bleeding-edge infrastructure aspirations and Datadog’s technology roadmap, ensuring our platform natively solves the unique observability challenges of training and deploying foundational models at scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Leadership : Demonstrate thought leadership in the AI/LLM space. Influence key decision makers and stakeholders by connecting technical capabilities to organizational and business impact. - Advisory : Strategically partner with highly technical Founders, Heads of Infrastructure, and Research Lead peers. Guide them on best practices and emerging industry trends in the AI/LLM space. Lead high-level technical and architectural conversations around AI adoption. - Presentations : Lead deep-dive architecture reviews and design engagements with customer teams and their leaders to share industry trends, best practices, and demonstrate how Datadog can support high-throughput hyper scale AI workloads. - GTM : Identify emerging AI-native technology shifts and feed them directly back to Datadog Product Management. Co-create custom observability integrations and solutions alongside Product SAs to keep Datadog at the absolute forefront of the AI stack. - Collaboration : Collaborate with Product Solutions Architecture (PSA), Sales, Sales Engineering and Marketing in providing high-quality technical resources to a broad audience of practitioners and economic buyers. - Hiring : Assist leadership in recruiting and hiring of top talent for the Product Solutions Architecture and Field CTO teams. Who You Are: - Industry Experience: 10+ years of experience with at-scale distributed systems architecture, high-performance computing, or large-scale infrastructure. Deep familiarity with the AI/LLM ecosystem, accelerator hardware (GPUs/TPUs), and modern orchestration frameworks. - Strategic Thinker : Able to think long term and creatively about a wide variety of technical and business challenges - Stakeholder Management : Proven experience interacting with and influencing elite individual contributors, research scientists, and technical founders in flat, rapid-growth environments. - Technologist : A true close-to-the-metal technologist who maintains deep hands-on credibility and can white-board architectural solutions seamlessly with senior engineers. Strong understanding of best practices and real world challenges AI/LLM Ops and LLM Observability (LLMO). - Presenter : Excellent customer-facing presentation skills for large audiences, comfortable discussing complex technical details as well as with briefing executives or non-technical personas. - Communicator : Excellent verbal and written commun
Member of Technical Staff (Rust Engineer, Search)
Perplexity AI is seeking a talented Search Rust Engineer to join our rapidly growing team, driving innovation in AI-powered search experiences. As a Search Rust Engineer, your main mission will be to relentlessly optimize performance - squeezing every millisecond of latency from our search stack, while implementing robust, scalable, and reliable systems. Responsibilities: - Architect, build, and optimize ultra-low-latency search infrastructure using Rust - Profile and instrument services, continuously driving down response times at scale - Develop and maintain distributed backend components powering real-time search and retrieval - Collaborate closely with product and infrastructure teams to design systems that deliver best-in-class query performance - Apply advanced concurrency, memory management, and network programming patterns for maximum throughput - Monitor, debug, and tune production workloads to ensure reliability under demanding traffic - Contribute to code reviews and mentor peers in high-efficiency Rust development Requirements: - Deep expertise in Rust programming, especially for backend/search systems - Experience profiling and tuning high-load, low-latency distributed services - Strong understanding of systems design, Linux internals, and performance debugging - Background in cloud infrastructure - preferably AWS - and container orchestration - Track record of driving efficiency for search or data-intensive products - Ability to thrive in fast-paced environments and own critical product code - Passion for benchmarking, instrumentation, and continuous performance improvement
Revenue Partnerships - France
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. We're looking for an experienced partnerships leader to build and scale our Commercial Partners Programme in France — bringing together resellers, systems integrators, and consulting firms who help deploy ElevenLabs' technology to their clients across the French market. You'll own the reseller, integrator, and consulting partner strategy end-to-end — from building relationships with leading SIs, consultancies, and resellers, to onboarding, enabling, and activating them to sell and deliver ElevenLabs products. This is a 0→1 build: you'll design and pilot partner incentive and enablement models, generate qualified pipeline through partner-led opportunities, and scale the programme against regional growth targets, while owning day-to-day execution and partner performance. What Success Looks Like (First 6–9 Months) - Partner-Sourced & Influenced Revenue: closed-won ARR through GSIs, RSIs, cloud providers, VARs, and technology partners reaching at least 20% of regional revenue - Partner-Sourced Pipeline: qualified pipeline created through partners, with a focus on enterprise opportunities in target industries - Revenue-Producing Partners: number of partners actively generating pipeline, opportunities, or revenue each quarter - Time-to-First Revenue: speed from partner onboarding to first sourced opportunity and first closed-won deal - Strategic Account Penetration:
Senior Platform Engineer, Ingestion
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 TEAM The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. ABOUT THE ROLE THIS ROLE SITS AT THE CORE OF LANGSMITH: YOU'LL OWN THE INGESTION SYSTEMS, QUERY SYSTEMS, AND THE API, SDK, AND CLI SURFACES THAT THOUSANDS OF DEVELOPMENT TEAMS USE EVERY DAY. YOU'LL WORK AT THE INTERSECTION OF DISTRIBUTED SYSTEMS AND DEVELOPER EXPERIENCE, ON INFRASTRUCTURE THAT TEAMS ACROSS THE INDUSTRY DEPEND ON. WHAT YOU'LL DO: - Build and scale critical systems: design and operate high-throughput, data-intensive ingestion and trace-query systems supporting LangSmith, built on SmithDB https://www.langchain.com/blog/introducing-smithdb, our purpose-built database for agent observability. Build monitoring, alerting, and automated recovery so the pipeline stays resilient. - Set API, SDK, and CLI standards: define and enforce the standards, tooling, and CI that power SDK generation across Python, TypeScript, Go, and Java; keep our developer surfaces consistent, high-quality, and self-served across feature teams. - Own integrations: build new integrations and maintain existing ones so it's easy to use LangSmith with any AI framework, agent, or tool — keeping us framework-agnostic - Solve complex problems: debug performance bottlenecks, optimize database queries, and architect solutions for distributed-system challenges - Respond to incidents: participate in an on-call rotation focused on post-incident learning, automation, and prevention HOW TO BE SUCCESSFUL IN THIS ROLE: Many of these will apply to you — we don't expect every box checked. - Platform engineering: hands-on experience designing and running data-intensive systems at scale - Developer experience: a track record of building high-quality, widely-adopted CLIs, SDKs, or API standards that developers actually enjoy using - Database expertise: production experience with OSS datastores (PostgreSQL, Redis) - Backend languages: Strong backend software engineering skills with production-level experience in Go, Python, or TypeScript. - Infrastructure expertise: solid knowledge of cloud object storage, Kubernetes, containerized infrastructure, and cloud platforms (GCP, AWS) - Observability mastery: hands-on experience with observability stacks (Datadog, Prometheus/Grafana, OpenTelemetry, or similar) - Operational mindset and high agency: "you build it, you run it, you own it," with a focus on sustainable pract
Data Scientist, Marketing
Scopely is a global gaming company whose mission is to inspire play every day. Niantic (a division of Scopely)’s mission 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). -
Customer Program Manager, Executive Briefing Cente...
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 Executive Briefing Program Lead, you will design, run, and scale the program that brings senior leaders from Anthropic's most strategic customers together with our spokespeople, product, and research teams. You will own the program end to end including qualification and intake, speaker selection, day-of execution, and post-briefing follow-through. You will own the agenda for briefings: setting its design and objectives, and developing it jointly with Product Marketing. You will also serve as the point of contact to account teams on how to use a briefing to move their most important opportunities forward. This is a highly cross-functional role. You will work closely with GTM and the Office of the CCO on account selection and program strategy, with Product Marketing on content development, with Solutions on technical deep-dives and demos, and with Anthropic's executive bench on sponsorship and participation. The right candidate has built or scaled an executive briefing program at an enterprise technology company, operates well at high volume, and is credible with both field leadership and C-level customers. Key responsibilities - Define and own the Executive Briefing program: briefing formats, qualification criteria, the request-and-intake process from Sales, capacity planning, calendar, and operating SLAs. - Govern which strategic accounts and executives receive a briefing each quarter in partnership with GTM leadership; hold the qualification bar and proactively surface accounts that should be engaged. - Lead discovery with account teams ahead of each briefing to understand the customer's objectives, business context, and where they are in their evaluation, and translate that into a tailored agenda. - Own agenda design and co-own agenda development with Product Marketing for every briefing. Shape the narrative arc and discussion topics to the customer's objectives, select discussion leaders and demos, and partner with PMM to build the briefing-specific content. - Build and manage the speaker bench: maintain the roster, match speakers to briefings, run prep, and manage capacity so no one is over-asked. - Own day-of orchestration and the customer experience standard for briefings, in partnership with our Workplace team on logistics. - Drive post-briefing follow-through: capture commitments and feedback, route them to owners, and track to close with the account team. - Build the playbooks, tooling, and best practices that let the program scale consistently as volume grows. - Own measurement and reporting, including briefing volume, strategic-account coverage, and program-influenced pipeline and expansion. Minimum qualifications - Built or significantly scaled an executive briefing program — you have defined qualification criteria, stood up an intake process, and managed a speaker bench. - Fluency with enterprise technology narratives — you're as comfort
Data Scientist
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations - Bengaluru, India About the Role We are looking for an experienced data scientist to join our Bangalore team and help scale the next generation of our AI/ML models. In this role, you will train predictive models and the workflows behind AI-driven applications, Agents, Chatbots that power teams across the company, including go-to-market, engineering, and product. Because the products we build are initiated and owned by the team, you will be involved end-to-end — from shaping requirements and designing systems to implementation, deployment, and long-term ownership. You will focus on building scalable, reliable AI/ML models, services and GenAI powered application backends, partnering closely with data and full-stack engineers to deliver new features and operate the pipelines and platforms behind our products. Our stack spans multiple languages and technologies, including Python, React, and TypeScript, and continues to evolve. Many of our applications also incorporate strong AI components, giving you opportunities to work with modern AI infrastructure and tools such as vector databases, MCP-based services, and Workers AI. Responsibilities - Partner and align with business leaders, stakeholders, product managers and internal teams to understand the business and product challenges and goals and address them using predictive analytics in a globally distributed environment. - Understand data landscape i.e tooling, tech stack, source systems etc. and work closely with the data engineering team to improve the data collection and quality. - Understand business/product strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals. - Strong audience focused presentation and storytelling skills focused on key takeaways in a crisp and concise manner. - Define, implement, and train statistical, machine learning, deep learning and generative AI models. - Use software engineering best practices to publish model scores/insi
Senior Data Center Capacity Delivery Manager, AUS
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 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. As a Senior Data Center Capacity Delivery Manager at Anthropic, you'll embed with project teams responsible for delivery of leased and partnered data center capacity. Your primary role will be to lead these partners to deliver on the fastest possible schedule while maintaining a safe construction site and protecting the finished quality of the data center. Additionally, you'll validate deal readiness, coordinate complex stakeholder relationships, maintain regular reporting and status tracking, and ensure seamless transitions from project inception through operational readiness. This role offers a unique opportunity to shape how Anthropic secures and activates the compute infrastructure needed to train and deploy frontier AI systems, working at the intersection of real estate, construction, and cutting-edge AI infrastructure. Key responsibilities - Lead. This is a role where leadership trumps management and process. You will be expected to be at one or more project sites in adequate amount to shape the culture, approach, and aggressiveness that define those extended site teams. The goal is to impact outcomes in a favorable manner. - You are expected to be a force multiplier that develops and enhances the skillset that development partners, contractors, and key trades bring to the project(s) you are overseeing. That means being a subject matter expert in the various cross functional elements of data center delivery and increasing the team's performance with that knowledge and commitment to alignment. - Confirm deal readiness and serve as the gatekeeper to validate transaction viability from Letter of Intent (LOI) through lease execution, ensuring all predevelopment, planning, technical and business requirements are met before commitment - Partner with landlords and developers post-deal to serve as Anthropic's primary point of contact, coordinating across internal stakeholders, tracking construction progress, and facilitating critical information exchange between development partners and Anthropic stakeholders - Represent Anthropic in key technical and operational decisions required by partners during the development process, ensuring our infrastructure requirements are met while maintaining strong partnerships - Drive seamless handoffs to operational state with heavy focus on engagement across networking and deployment teams, enabling rapid workload turn-ups and minimizing time-to-production - Prepare and present regular executive reporting on progress versus plan for facility development, supporting forward capacity planning and strategic decision-making - Identify and mitigate risks throughout the delivery lifecycle, proactively addressing blockers that could impact timeline, cost, or technical requirements - Develop and refine standardized processes and playbooks for facility delivery, driving continuous improvement as Anthropic scales its infrast
Communications Lead, Infrastructure and 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 We're seeking a strategic communications professional to join our team and drive external storytelling for the engineering and infrastructure work behind serving Claude. This role will be the primary external comms partner to the teams responsible for how Claude performs in production, including capacity, reliability, and engineering. In this role, you'll craft compelling narratives that make Claude's inference and reliability work accessible and credible to developers, customers, and the press — across launches, milestones, and the steady drumbeat of updates in between. You'll build messaging frameworks for technical topics without losing the substance, and lead the communications response when an engineering issue needs a coordinated, cross-functional response. You'll also coach engineering and product leaders to be effective spokespeople. The ideal candidate is a creative storyteller with strong proactive and reactive muscle, has a genuine curiosity about how systems perform and the judgment to navigate nuanced, technical topics. You should be able to move fast, think critically, and collaborate across a wide range of technical and non-technical teams. You'll sit on the Product Communications team, working day to day with engineering and product leaders. Responsibilities: - Own external comms for Claude's inference and reliability story across launches, milestones, and the steady drumbeat of updates - Carry both the high-altitude narrative for Claude's engineering work and the technical translation that makes it credible - Develop messaging frameworks for technical topics that need to land with developers, customers, and press without losing the substance - Lead comms when a technical or engineering issue needs a coordinated cross-functional response - Partner closely with the product organization on decisions that impact users and our brand, bringing those considerations into the room early and often - Coach engineering and product leaders to be effective spokespeople for press, podcasts, panels, and the smaller moments in between - Have strong instincts for how messaging will land across audiences and channels and the judgment to adjust strategy accordingly You may be a good fit if you: - Have 8–12 years of experience in communications focused on infrastructure, engineering, or technical products - Are highly online and fluent in where technical conversations happen, from developer forums to X to Hacker News - Are genuinely curious about how customers actually experience performance, capacity, and reliability - Have experience in communications focused on infrastructure, engineering, or technical products - Write with discipline and accuracy around complex technical concepts and sensitive topics Strong candidates may also: - Have a deep understanding of both traditional media channels and the emerging platforms where technical communities engage - Be high-agency and low-ego, with a bias to
Senior Generative AI Designer / Artist
Scopely is looking for a Senior Generative AI Designer / Artist to join our Marketing team Flamed in Barcelona Office 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 distributed team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. We are the in-house creative agency Flamed, an International multidisciplinary team. We build thousands of creatives every year to support all Scopely games' marketing needs worldwide. What You Will Do This role requires someone comfortable working at a fast production pace, combining AI-assisted workflows, strong layout skills, polished image execution, and medium-level video editing capabilities. You will join our Arts & Animation Pod in Barcelona to create high-quality creative assets for some of the top mobile games in the world, including UA ads, ASO/store assets, social media content, key visuals, video templates, storyboards, and performance-driven iterations. - Produce high-quality static and video marketing assets from briefs, benchmarks, and creative direction. - Create polished graphic layouts, templates, key visuals, store assets, SoMe posts, and UA creatives. - Develop video templates, key frames, simple edits, storyboards, and performance variations for short-form marketing content. - Use AI tools as part of the creative process, refining outputs through prompt iteration, compositing, paintovers, retouching, and final polish. - Work mainly with Photoshop, and use Premiere and After Effects for editing, timing, keyframes, and template adaptation. - Collaborate with the Lead Artist, Art Director, and wider creative teams to ensure assets align with brand guidelines, art direction, storytelling, and production standards. - Participate in brainstorms and creative exploration, including occasional support on video hooks and new visual concepts. - Deliver fast, high-quality iterations based on feedback, KPIs, and creative performance data. What We’re Looking For - 5+ years of experience in marketing art, production art, visual design, or creative asset production, ideally in gaming, entertainment, or mobile-first content. - Familiarity with AI art pipelines, prompt writing, and image refinement tools. - Strong portfolio showing both static and video work, ideally from brief, sketch, storyboard, or concept through to final execution. - Excellent Adobe Photoshop skills, especially in layout, compositing, retouching, and final image polish. - Medium-level skills in Premiere and After Effects for editing, adapting templates, timing, keyframes, and producing polished marketing videos. - Strong graphic design fundamentals: layout, typography, composition, color, hierarchy, lighting, and visual balance. - Good understanding of UA, ASO, and social media creative formats. - Strong design taste, attention to craft, and ability to deliver polished assets under fast-paced timelines. - Ability to create sketches, storyboards, key frames, and rough layouts to develop ideas before final production. - Good understanding of art direction and visual storytelling. - Fluent English communication skills,
Principal AI Product Security Engineer
Scopely is looking for a Principal Security Engineer to join our Information Security team in Spain/Portugal on a hybrid basis. Our security team is dedicated to ensuring the security of our top games. This involves collaborating closely with game studios to develop and implement comprehensive security strategies throughout the game design and development lifecycle. In addition, this role will drive the application of AI to transform how security is delivered across Product Security, Security Operations, and Security Engineering, improving efficiency, scalability, and impact. What You Will Do Game & Product Security Leadership - Partner with game studios to develop comprehensive security strategies for game design and development - Conduct threat modeling, vulnerability assessments, and security audits across all phases of game development - Design and implement security controls and countermeasures to mitigate risks and ensure compliance with company policies, standards, and industry norms - Collaborate with game teams to advocate for secure coding practices and integrate security at every level of the software development lifecycle - Coordinate and participate in penetration tests and game feature security assessments - Provide expert-level technical guidance to game teams to assist in securing games and backend infrastructure - Translate business priorities, technical constraints, and threat intelligence into actionable security roadmaps AI-Driven Security Transformation & Automation - Identify and implement opportunities to apply AI to: - Vulnerability triage, prioritization, and remediation - Security operations workflows (alert analysis, investigation, response) - Product security processes (code analysis, findings analysis, pentesting support) - Build AI-driven workflows, tools, and agents to reduce manual effort and improve speed and accuracy - Use AI to improve vulnerability management through triage support, risk classification, remediation guidance, and findings analysis - Partner with Security Operations to improve detection, triage,investigation and response through automation and AI-assisted analysis - Integrate AI capabilities into existing security platforms (e.g., Wiz, SIEM, Jira, IAM systems) - Develop reusable AI-enabled components that scale across teams and studios - Establish practical guardrails for the safe and effective use of AI in security, including data handling, quality control, and human review - Define success metrics for AI-enabled workflows, including productivity gains, response times, remediation throughput, and signal quality Security Engineering & Platform Enablement - Design and implement scalable security solutions across cloud and backend systems - Work closely with information security domain owners to ensure games adhere to all relevant security policies, standards, and regulatory requirements - Develop and maintain comprehensive documentation on security architectures, processes, and decisions for technical and non-technical stakeholders&l
Regional Research Economist, Economic Research
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 Regional Research Economist at Anthropic, you will work to collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally-relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. Key responsibilities - Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region - Advance research collaborations that answer country- or regional-specific economic impact questions - Translate research insights into actionable recommendations for policy discussions - Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country/regional-specific analysis - Design and collaborate on empirical research on AI's economic effects with governments, academia, industry, and civil society in your region - Develop new methodological approaches, in collaboration with partners in your region, for studying AI's impact on: - Labor markets and the future of work - Productivity and task transformation - Economic inequality and displacement - Industry-specific disruption and adaptation - Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios - Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection - Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications - PhD in Economics - Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning <li>
Senior Combat Designer (AI archetype)
As a Senior Combat Designer at Cloud Chamber, you will collaborate with an innovative team of designers, artists, and engineers to create industry-leading AI characters and combat gameplay. You will be responsible for expanding and building on the ideas of player expression and emergent design experiences. Utilizing your deep knowledge of Unreal Engine, you will develop interactive AI characters to support the overall creative vision for our project, ensuring that our ambitious design goals are achieved and ultimately bring the richly imagined world of BioShock to life. What You’ll Do: - Work with the Leads, Design Director, and the design team to pitch and develop interactive AI characters and execute the vision for the game. - Act as the primary owner of AI and combat implementation in cross-disciplinary pods. - Develop working prototypes of AI and combat scenarios. - Communicate progress, workflows, and availability of AI and combat standards to content developers. - Maintain and tune assigned combat AI behavior and parameters through to project completion. - Create detailed and easy-to-follow design documentation. - Collaborate across development sites in Novato and Montreal on a day-to-day basis. - Expand and build on the ideas of player expression and emergent design experiences. - Use your creativity to execute on design goals and solve design challenges that push our games forward. - Participate in brainstorm sessions, refine, and execute on ideas within a schedule. - <span style="font-family: helvetica, arial, sans-serif; fon
Engineering Manager, Agentic AI
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About The Team + Role The Artificial Intelligence team is at the forefront of integrating AI into Robinhood’s ecosystem. We are building the foundational AI and ML infrastructure that empowers our product and engineering teams to seamlessly build, deploy, and scale AI-driven features tailored to the needs of our customers. As the Engineering Manager you will lead the charge in developing this critical infrastructure. You will oversee the creation of multiple ML and AI models spanning Robinhood products, and internal optimizations. You will guide the engineering organization in producing advanced models and leveraging Large Language Models (LLMs) to create real, scalable products. This role requires a visionary leader with a strong software engineering background, a passion for developer-facing platforms, and deep expertise in applied ML at scale. This role is based in our Menlo Park, CA office , with in-person attendance expected 5 days per week. At Robinhood , we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. What You'll do - Lead, mentor, and scale a high-performing organization of engineers, managers, and applied ML specialists, providing technical guidance, regular feedback, and support for career growth. - Guide model development and evaluation, ensuring AI applications are highly performant, secure, and ready to serve millions of customers. - Partner cross-functionally with product, design, infrastructure, and other executive leaders to ensure AI platforms meet the complex needs of Robinhood’s diverse business lines. - Establish clear engineering processes to ensure reliable delivery, code quality, and system scalability across multiple teams. What You Bring - Proven engineering leadership experience, with a track record of supporting performance, hiring top talent, managing managers, and driving organizational development. - Hands-on experience in Applied Machine Learning, specifically with productionizing applications that leverage LLMs and advanced models to build real-world products. - Deep understanding of ML infrastructure, platforms, and the complexities of deploying AI safely and securely across an enterprise. - An execution-focused mindset capable of translating complex business and product goals into clear technical milestones and organizational strategy. Leadership Expectations Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here's what we expect from them: - Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, in
Manager, Machine Learning Engineering (Underwritin...
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Join Affirm as a Machine Learning Engineering Manager and become a pivotal part of our innovative underwriting machine learning group. Specifically, you will manage a team of ML engineers that builds our economic decisioning engine, using novel ML techniques and rich representations of data to underwrite and optimize applications based on expected returns, lifetime value, and predicted conversion. In this role, you will help shape the future of machine learning at Affirm. You’ll partner with engineering, product, and risk leaders to design, implement, and scale advanced ML solutions that drive critical capabilities across the company. You will mentor engineers, bring clarity to complex, ambiguous problems, and contribute to a cohesive long-term ML strategy. What you’ll do - Set the technical strategy for your team, and help your engineers tie it together with critical, business-impacting projects. - Act as a force-multiplier through your definition and advocacy of technical solutions and operational processes. - Collaborate across teams in the product development lifecycle by partnering with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. - Develop talent by providing feedback and guidance, and leading by example. What We Look For - Bachelors in a technical field with 8+ years of industry experience, including 3+ years managing engineers - Proficiency in machine learning with experience in areas including tree-based models, transformers, deep learning, and agentic ML. - Strong engineering skills and the ability to provide hands-on technical leadership while working with our code and architecture - You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work. - This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Pay Grade - P Equity Grade - 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $181,000 - $241,000 Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but wil
Junior Ads Specialist
The role of a Junior Ads Specialist at Canonical Canonical has provided developers with open source since 2004, helping them build innovations such as public cloud, machine learning, robotics or blockchain. Marketing at Canonical means being at the forefront of technology adoption, for our customers and for our own martech stack. We’re on the look out for a performance marketing manager to join our team and own our paid strategy. The ideal candidate will be passionate about technology, technology marketing and the use of technology in marketing. You will prefer to work in an environment that has emphasis on ownership of campaigns, collaboration, learning, curiosity and a drive to continually improve oneself / the team / the organisation. You will also love to problem solve, get hands-on, experiment, measure and use automation to make daily life easier. The Marketing team at Canonical drives commercial outcomes for the company across its portfolio of products and grows the addressable market through digital marketing campaigns, lifecycle management, events, partnerships and community development. If these things are important to you and you're motivated by driving growth, delighting customers and filling the sales funnel, we want to talk with you. This role sits in the Marketing team reporting to the Growth Engineering Manager. Location: This role will be based remotely in the EMEA region. What your day will look like - Support marketing team members with setting up and monitoring paid ads campaigns - Monitor paid ads performance and budgets across the Marketing team - Build on automation and AI to improve paid ads performance - Develop Canonical's adtech stack to industry leading standard What we are looking for in you - Proficiency with all ad platforms (Google, LinkedIn, Meta...) - Familiarity with campaign tracking and analytics tools - Experience driving successful lead generation campaigns. - Experience with A/B testing and data-driven decision making. - Exceptional interpersonal skills and aptitude for forging trusting relationships across diverse, cross-functional teams - Proven ability to prioritise and differentiate what matters from the noise, meeting deadlines without sacrificing quality - A growth mindset - someone who is not afraid to think big and take on risks - Engagement with the latest trends in marketing technology - Willingness to travel up to 4 times a year for internal events Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce. In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process. 🏠Fully remote working environment - we’ve been working remotely since 2004! 📚Personal learning and development budget of 2,000 USD per annum 💰Annual compensation review 🏆Recognition rewards 🏝 Annual holiday leave 👶Parental Leave 🧑💼Employee Assistance Pr
Enterprise Account Executive - CPG
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 an Enterprise Account Executive at Anthropic's EMEA Industries team, you'll drive the adoption of safe, frontier AI by securing strategic deals with top enterprises across the EMEA markets, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise and technical acumen to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, Product, Engineering, and cross-functional teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the EMEA landscape. You will be contributing to the GTM strategy for our Industries team, focusing on sector-specific solutions and strategies within key verticals. The Industries team operates as a specialized set of teams with dedicated Account Executives aligned to specific high-priority verticals including Financial Services, Healthcare and Life Sciences, and Education. As part of our broader Commercial Industries coverage, you'll focus on the diverse range of enterprise verticals beyond these core specializations - including Media, Energy, Manufacturing, Technology, Retail, and other major industry sectors that represent significant growth opportunities for AI adoption. This is a highly consultative sales role as you will be cross-selling with our existing team of Account Executives, determining pricing strategy, and influencing the product roadmap based upon customer feedback. You will help define our solution-led selling approach, positioning us as strategic advisors, and provide a continuous feedback loop for internal teams to iterate on. You should be passionate about developing industry expertise, collaborating cross-functionally, and executing on our approach to the market. By driving expansion within key accounts and acquiring new logos in strategic verticals, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: - Contribute to the Industries team GTM strategy, identifying new use cases within your assigned verticals, winning new business, and sharing feedback with cross-functional teams - Drive strategic expansion within key accounts in established verticals and new logo acquisition within emerging verticals - Break into new accounts and cross-sell into existing business alongside our team of Account Executives - Own a revenue target and all aspects of the sales cycle from prospecting to close, including outbounding and engaging Tier 1 accounts - Lead with conviction by providing clear recommendations based on deep industry expertise rather than presenting a menu of options - Prioritize organizations that can serve as lighthouse customers and references within their industries - Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions. Co-innovate with customers and sell on the product roadmap while appropriately setting expectations - Collaborate extensively with cross-functional partners including product, engineering, legal, marketing, and Applied AI to help bring new s
Contracts Manager, Research & Operations
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 an exceptional Contracts Manager to support commercial and technology transactions. We'll rely on you to help review, draft, and negotiate commercial and procurement contracts to support our cutting-edge AI systems. You'll also build scalable contracting processes and collaborate across Research, Product, Finance, Security, Business Operations, and Procurement teams. Responsibilities - Draft, analyze, negotiate, and complete complex commercial transactions with the company’s vendors, including SaaS and IP licensing agreements - Propose and develop scalable solutions to improve contracting efficiency - Collaborate with business units and legal team members to streamline contract management processes, identify potential risks, and drive continuous improvement in contract handling efficiency - Collaborate with the Research, Product, Finance, Security, Business Operations, and Procurement teams to achieve key business objectives and deliver strategic, business-minded, and solutions-focused counsel - As a relatively small legal team supporting big things, each legal team member practices across multiple areas. We’d love to hear where else you’d be interested to pitch in, whether as a function of your experience or interests Minimum Qualifications - Experience operating in a fast-paced technology startup in which priorities shift rapidly and schedules "move to the left," thriving in this dynamic environment and priding yourself on your adaptability and ability to pivot with speed and grace - Initiative and autonomy in managing complex contractual matters, effectively prioritizing competing deadlines - An understanding of what's important in the context of a contract, the organization's mission, when to be flexible, and when to draw a hard line - Excitement to grow with an organization and help shape the culture of the commercial function - A preference for straightforward, concise explanations over legalese and overwrought drafting - A knack for identifying and implementing efficient processes and policies - The ability to thrive as a member of cross-functional teams building frontier technologies, with a desire to develop a deep understanding of our technical teams and what we are building - Comfort operating outside your areas of expertise and in uncharted legal territory - A "doer" mentality, willing to roll up your sleeves to get things done as a team player who doesn't hesitate to jump in to do work that needs to get done, whether glamorous or not Preferred Qualifications - 7+ years of related contract management experience, with at least 3 years of experience supporting technology transactions, vendor enga
Account Executive - ElevenCreative - France
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 You will own the ElevenCreative enterprise sales motion across the DACH region, building pipeline and closing deals with enterprise creative and marketing teams. DACH has one of the strongest existing enterprise footprints for ElevenLabs, with meaningful ARR, proven deal velocity, and growing creative demand - this is a market where we are accelerating, not experimenting. ElevenCreative is our AI creative platform - the place where enterprise creative and marketing teams generate and edit speech, image, video, and music using the best AI models available. You will sell the full ElevenCreative suite alongside adjacent capabilities like dubbing, Flows, and Studio to enterprise buyers who are looking to modernize how they produce content at scale. This is a green-field role. You will define the playbook, build the pipeline, and close the deals - working cross-functionally with product, marketing, solutions, and customer success. IN THIS ROLE YOU WILL - Build and manage a growing portfolio of enterprise accounts to drive ElevenCreative revenue in your territory, identifying new business opportunities where AI creative tools can transform how teams produce content - Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI creative capabilities into measurable business value for senior executives and econo
Enterprise Solutions Engineer - Middle East
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE As a Solutions Engineer, you'll work as part of a driven team to unlock the full potential of our voice AI platform for a growing customer base. Your mission is to efficiently scale our technical solutions to many enterprise customers, both directly and by improving our internal processes and supporting our sales teams. As a Solutions Engineer, you can expect to: - Collaborate strategically with Account Executives to enhance the technical aspects of the sales process. - Work directly with technical contacts from our customers and prospective customers to provide bespoke support and architect solutions. - Craft compelling technical demonstrations that clearly communicate our product's value proposition. - Create technical enablement resources that amplify our sales team's effectiveness and technical fluency. - Build self-service tools and documentation that empower customers to implement solutions independently. - Identify opportunities to productize common integration patterns or features, and work with our product teams to make these real! REQUIREMENTS We're looking for exceptional individuals who excel at working with customers on technical problems and excited to work with us to scale this efficiently. You'll thrive with us if you: - Are passionate about AI, technology and ElevenLabs products. - Enjoy working directly with customers, iterating
Data Center Facility Operations Lead
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Facility Operations Lead within the Data Center Infrastructure organization, you will define and manage end-to-end operations across Anthropic’s growing fleet of data center infrastructure. You will be accountable for the global operations management of critical mechanical, electrical, plumbing, and control systems. As a subject matter expert in data center infrastructure and operations, you will develop scalable processes for execution, help manage data center partners & vendors, lead deployment schedules, and maintain close coordination with related disciplines such as design, engineering, and capacity planning. If you are experienced in operations, are passionate about HPC data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply. Responsibilities: - Define the Facility Operations strategy including SLAs, incident management, reporting methods, and approaches for reporting. - Oversee third-party deployment, commissioning, and ongoing maintenance of facility infrastructure such as switch gear, technology cooling systems, and computer room air handlers. - Define expectations and standards to enable third-party success in each of the critical operations domains. - Create standards for monitoring data center systems operation, minimizing risk, and effectively responding to/managing excursions and incidents. - Develop innovative approaches to improve time to market and equipment availability while minimizing cost and complexity. - Enable scale-out of operations through industry best practices optimization of bill of materials, logistics, and physical processes. - Manage partner relationships and maintain alignment with Anthropic goals. You may be a good fit if you: - Have 10+ years of experience in data center facility operations as a manager, engineer, technical lead or related role. - Can demonstrate a proven track record overseeing a portfolio of mission critical systems. - Are a subject matter expert in facility operations process development including deployment, commissioning, & maintenance. - Are experienced in third-party partner relationship management. - Bachelor's degree in relevant domain or equivalent practical experience. It's a bonus if you have: - 15+ years of experience managing operations for large scale data centers. - An understanding of AI/ML workloads, including power, cooling, and network connectivity - Experience supporting technology cooling solutions such as rear door heat exchangers and/or cooling distribution units, - Experience managing third-part
Software Engineer II, Backend (ML Training & Servi...
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Machine Learning is central to how Affirm delivers on its mission, powering decisions across underwriting, fraud, servicing, and personalization. We are seeking a Software Engineer II to join our ML Training & Serving engineering team, the team that builds and operates the critical infrastructure that enables models to be trained and served across Affirm. This role sits at the intersection of distributed systems, ML infrastructure, and platform engineering. We value engineers who listen closely, invite feedback, and work effectively across organizational boundaries, while maintaining a high bar for ownership, technical judgment, and execution. Strong candidates care about building reliable shared platforms, improving developer velocity, and creating durable systems that enable teams across the company to move faster with confidence. What You'll Do - With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. - You will support your peers and stakeholders in the product development lifecycle by collaborating across engineering, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. - You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. - You will contribute to a sense of community on your team by engaging in growth and development activities such as participation in the interview process. What We Look For - You have a total of 1.5+ years of experience as a software engineer. - You have experience designing, developing and launching backend systems and are proficient in one of Python or Kotlin. - You are familiar with the building blocks of distributed systems, and the technologies like AWS, MySQL and Kubernetes. - You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. - You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. - Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. - You have strong verbal and written communication skills that support effective collaboration with our global engineering team. - This position requires either equivalent practical experience or a Bachelor’s
Data Scientist
About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role Join the Monetization team at Twitch, where we build the products that help creators make a living on the platform. You'll work on products like Subscriptions, Bits, and Gifting, and the pricing and packaging decisions behind them. You'll partner closely with product, engineering, finance, and data teams to measure the impact of new features, design and analyze experiments, and apply causal inference methods to inform decisions where A/B testing isn't possible. The work ranges from high-velocity experimentation on consumer-facing products to deeper pricing, policy, and segmentation analyses where causal identification is the central challenge. This role is well-suited for someone with a strong economics or causal ML foundation who wants to apply rigorous statistical thinking to real product decisions at scale. You'll need to be comfortable writing SQL, working with imperfect data, and partnering with stakeholders to turn analysis into product impact. Our team is based at Twitch HQ in San Francisco, CA. You can work in San Francisco, CA; New York, NY; or Seattle, WA You Will: - Apply causal inference methods where experimentation isn't feasible - Develop models and analyses that inform pricing, segmentation, and revenue optimization - Design, run, and analyze A/B experiments - Partner with product, engineering, and finance to translate ambiguous business questions into measurement frameworks - Build and maintain dashboards, reporting, and analytical tooling that support ongoing decision-making You Have: - 3+ years of experience as a data scientist, applied scientist, economist, or related field; OR a PhD in Economics, Statistics, Computer Science, or related quantitative field - Proficiency in SQL - Proficiency with Python or R - Strong foundation in experimentation and causal inference, including A/B test design and quasi-experimental methods - Strong communication skills across technical and non-technical stakeholders - Comfort building dashboards and recurring reporting
Internal Product Engineer, Developer Productivity...
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 We are a brand new team, working quickly to accelerate Stripes engineering productivity by effectively deploying LLM agents and tools to automate large swaths of the engineering workflow. We’re a cross-continent team, spanning North America and Europe - filled with high agency engineers with strong product perspectives. Some examples of what we work on: here and here . What you’ll do You will build the next generation of internal AI coding tools and platforms, to massively accelerate Stripe’s engineering productivity safely and with a clear focus on our users’ needs. 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 We’re looking for someone who has: - Strong software engineering skills and ability to write high quality code at high velocity - 2-5 years of professional hands-on software development experience, able to write well-factored algorithms and have experience with commonly used data structure and algorithms - Hands on experience building tools or platforms used by other engineers or internal users - Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success - Customer obsession, ability to articulate and represent customer experience in various forums to drive the right outcome - Have the ability to thrive with a high level of autonomy, and responsibility - Experience using AI developer tooling as part of their day-to-day workflows Minimum requirements We’re looking for someone who has: - Strong software engineering skills and ability to write high quality code at high velocity - 2-5 years of professional hands-on software development experience, able to write well-factored algorithms and have experience with commonly used data structure and algorithms - Hands on experience building tools or platforms used by other engineers or internal users - Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success - Customer obsession, ability to articulate and represent customer experience in various forums to drive the right outcome - Have the ability to thrive with a high level of autonomy, and responsibility - Experience using AI developer tooling as part of their day-to-day workflows Preferred qualifications <
Senior Software Engineer - AI Code Gen - Agent Eng...
We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance. We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents. - Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products. - Prototype and see what works well in the real world, iterate closely with our users, and then ship. - Follow the latest research on LLM prompting, agents, and code editing. - Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments. Who You Are: - You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production. - You are passionate about Generative AI and its ability to help software engineers be more productive. - You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields. - You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution. - You want to work in a fast, high-growth startup environment that respects its engineers and customers. - You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers). - You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output - You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products 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: - Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development. - Have a lot of influence on product direction and impact on the business. - Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn. - Competitive global benefits. - Continuous professional development. Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. LI-Hybrid Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensa
Senior Software Engineer, Inference
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Strong candidates may also have experience with: - High-performance, large-scale distributed systems - Implementing and deploying machine learning systems at scale - Load balancing, request routing, or traffic management systems - LLM inference optimization, batching, and caching strategies - Kubernetes and cloud infrastructure (AWS, GCP) - Python or Rust You may be a good fit if you: - Have significant software engineering experience, particularly with distributed systems - Are results-oriented, with a bias towards flexibility and impact - Pick up slack, even if it goes outside your job description - Want to learn more about machine learning systems and infrastructure - Thrive in environments where technical excellence directly drives both business results and research breakthroughs - Care about the societal impacts of your work Representative projects across the org: - Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators - Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads - Building production-grade deployment pipelines for releasing new models to millions of users - Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage - Contributing to new inference features (e.g., structured sampling, prompt caching) - Supporting inference for new model architectures - Analyzing observability data to tune performance based on real-world production workloads - Managing multi-region deployments and geographic routing for global customers Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range fo
Audio Engineering (Freelance)
ABOUT THE ROLE Productions is the 'done for you' managed services wing of ElevenLabs made for creators and media businesses. We bring together our AI audio tools and human experts to unlock human-edited dubs, audiobooks, and more in 15+ languages directly on the ElevenLabs platform. Here are a few recent projects Productions has helped bring to life: - Dubbing for some of the world's biggest creators (DudePerfect, Lex Fridman, Andrew Huberman) and media businesses - Audiobook production for leading publishers and digital storytelling platforms - Voice creation, sound design, and other audio engineering services for ElevenLabs' largest customers - You can learn more about Productions here: https://elevenlabs.io/productions AS AN AUDIO ENGINEER, YOU WILL: - Create, refine, and iterate on custom voices for ElevenLabs customer using different techniques - Clean, edit, and prepare customer audio to ensure optimal cloning and generation quality - Provide hands-on training and technical guidance on ElevenLabs tools and best practices - Work on Audio Quality rated labeling projects REQUIREMENTS - 3–5+ years experience in audio engineering, sound design, mixing/mastering, or related fields - Experience working directly with clients, creative teams, or technical stakeholders - Strong proficiency with DAWs (e.g., Pro Tools, Reaper, Logic, Ableton) - Deep intuition for voice characteristics, timbre, clarity, and performance nuance - Ability to translate ambiguous customer needs into clear audio and voice-design solutions - Strong organizational discipline for operating within a time-based service model LOCATION This role is remote and can be executed globally
Staff AI Engineer | Canada | Remote
Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants from Canada time zones only at this time. Staff AI Engineer The Opportunity: Grafana's Revenue Operations organization is looking for a Staff AI Engineer to own the AI agent infrastructure and automation platform that powers our GTM teams. You'll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You'll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction. You'll identify the highest-leverage problems across Sales, Customer Success, and Marketing, design the solutions, and ship them. You'll define the technical direction for the automation platform—data models, API contracts, shared libraries, reference architectures—and partner with Data Engineering, GTM Systems, Field Operations, and GTM leadership to build scalable, self-service automation that eliminates manual work and drives operational efficiency. What You’ll Be Doing: Agentic Tool Development - Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation - Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams - Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) - Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management - Establish governance and compliance standards for AI workflows including access contr
Deployment Strategist - Singapore
ABOUT THE ROLE As a Deployment Strategist, you'll work as part of a driven and creative team of Forward Deployed Engineers, Go to Market professionals, Product Engineers and other Strategists to deploy ElevenAgents, our enterprise AI platform, against the challenging problems our customers face. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the existing workflows are, what the product needs, what users are motivated by, and where the impact could be. No two days are the same, but as a Deployment Strategist you can expect to: - Meet with strategic customers to deeply understand their AI transformation goals and locate their biggest pain points, particularly around customer-facing and operational workflows powered by AI agents. - Own flagship deals end-to-end — from identifying the right use case to structuring commercial terms (including outcome-based pricing, license fees, and implementation arrangements) and driving them to close. - Embed yourself deeply inside strategic customers: act as a trusted partner with a provisioned account, spend meaningful time onsite, and own delivery outcomes as if you were part of their team. - Identify high-impact use cases through close engagement with customer problems and workflows, and collaborate with Forward Deployed Software Engineers to bring them to life. - Guide customers on best practices for deploying our products (e.g. ElevenAgents); including agent design, agent orchestration, production readiness to maximize adoption and impact. - Scope out potential applications in new industries and expand our AI solutions across different sectors globally. - Present the results of our work and proposals for future work to audiences ranging from technical teams to C-suite executives. - Collaborate with our Research teams to feed field insights back into ElevenLabs' platform and models, helping shape the roadmap. - Build and deliver compelling demos of ElevenAgents and our broader AI technology to new and existing customers. - Collaborate daily with customers' engineering and executive teams to ensure agents reach production and deliver measurable business outcomes. Requirements - 3+ years of experience working with customers in a technical capacity. Direct enterprise customer experience is preferred. - Experience in product development, delivery, and change management - Commercial instinct: comfort engaging in deal conversations, structuring value propositions, and navigating enterprise sales cycles alongside GTM partners. - Basic proficiency in Python and familiarity with API integration, sufficient to prototype, demo, and communicate credibly with engineering teams. - Excellent communication and problem-solving skills; particularly the ability to simplify complex technical concepts and structure clear logic in pursuit of optimal solutions. - A proven track record of taking ownership of complex, ambiguous projects and delivering results. - Adaptability to work across different customer environments, industries, and technical use cases. - Technical aptitude and familiarity with common LLM, tooling and AI agent frameworks. - Ability to creatively map enterprise use cases and workflows to AI systems - Multi-lingual: Mandarin/English LOCATION As we build out a team in the Singapore office, the successful candidate is preferred to be based within Singapore. We will also consider candidates based in Singapore who can travel frequently to meet with customers on-site and collaborate in person with the Singapore team.
Commercial Counsel, APAC
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 an exceptional Commercial Counsel to join our growing Commercial Legal team as our founding commercial legal hire in Singapore. You'll serve as a strategic partner to our sales teams, leading complex negotiations and commercial deals that fuel our expansion with companies and organisations across the region, from startups to large enterprises. You'll guide sophisticated technology transactions across diverse industries and client sizes while advising on the legal and regulatory considerations unique to responsible AI deployment throughout APAC. As one of our first commercial legal hires based in the region, you'll help establish Anthropic's legal foundation across Southeast Asia and the wider APAC region, designing the processes, playbooks, and frameworks that scale with us. Key responsibilities - Serve as a key strategic advisor to sales leadership on complex commercial deals and contractual matters, from small and medium enterprises to large enterprise clients - Lead negotiations and close sophisticated agreements with diverse APAC companies and organisations across multiple industries and market segments - Navigate APAC regulatory compliance requirements and jurisdiction-specific contracting considerations across multiple markets - Design and implement scalable contract frameworks, playbooks, and processes to support our fast-growing APAC sales organisation - Identify, analyse, and proactively manage complex legal and regulatory risks while maintaining deal velocity in our rapidly evolving AI landscape - Anticipate emerging legal developments affecting AI technologies across APAC jurisdictions and provide strategic guidance to cross-functional leadership - Foster relationships with external stakeholders, including clients of all sizes, regulatory bodies, and industry partners across the APAC region Minimum qualifications - Qualified to practise law in Singapore or another common-law jurisdiction - Deep expertise in complex technology agreements and regulatory compliance frameworks, including those relevant to the adoption of emerging technologies across APAC markets - Strong business judgment and ability to balance legal risk with commercial objectives in fast-moving deal environments - Demonstrated ability to navigate novel legal challenges with limited precedent in cutting-edge technology applications - Clear, effective communication skills with the ability to influence stakeholders across seniority levels and organisational functions - A collaborative, solutions-oriented approach to supporting high-velocity sales processes across diverse market segments - Strong understanding of AI technology trends and commitment to responsible AI deployment Preferred qualifications<
Senior Machine Learning Scientist
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE AND ANALYTICS The Data Science & Analytics organization's mission is to increase our speed, frequency, and acumen in making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products, and measure impact on our community of players and developers. In Data Science & Analytics, you will contribute to horizontal ML systems and infrastructure that enable us to understand the trajectory of users and creators as well as the overall business to inform investment opportunities and accelerate our growth. These systems inform experiment decision making, product roadmaps, and execution risk on our road to connecting one billion users. You Will: - Develop, build, and support large scale forecasting systems for business growth - Develop, build, and support modeling of long-term user outcomes - Design and implement batch prediction infrastructure that ensures high-levels of accuracy, provides explainability, and quantifies uncertainty - Collaborate with data science and product partners to unlock causal understanding of our business growth and to develop scalable solution for measuring ecosystem health - Model and promote a high bar for technical excellence in the broader data science and ML community. - Communicate strategic findings to influence company and team-level roadmaps - Partner with Data Engineering and Data Platform teams to ensure model development, reporting, and monitoring systems are built in a reliable and robust way. You Have: - 5+ years of industry experience in prototyping and building scalable machine learning solutions. - Experience building scalable and robust ETL data and ML pipelines with complex upstream dependencies and accountability for downstream consumers - Experience with time series modeling in practice and theory. Experience with foundational time series models (i.e. transformer based) and fine tuning frameworks. - Demonstrated ability to lead project areas from scratch, and break product requirements into iterative deliverable stages.
Senior AI Engineer
We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance. We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents. - Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products. - Prototype and see what works well in the real world, iterate closely with our users, and then ship. - Follow the latest research on LLM prompting, agents, and code editing. - Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments. Who You Are: - You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production. - You are passionate about Generative AI and its ability to help software engineers be more productive. - You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields. - You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution. - You want to work in a fast, high-growth startup environment that respects its engineers and customers. - You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers). - You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output. - Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products. 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: - New hire stock equity (RSUs) and employee stock purchase plan (ESPP) - Continuous professional development, product training, and career pathing - Intradepartmental mentor and buddy program for in-house networking - An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) - Access to Inclusion Talks, our Internal panel discussions - Free, global mental health benefits for employees and dependents age 6+ - Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. </p
Get tailored job alerts, not another account to manage
Start with your email. We’ll send the newest roles for this site each day; unsubscribe in one click.
Coming soon: automatic applications. You’ll be able to define your criteria and let Jobs in AI apply to matching roles. This is a preview only—applications are not automated today.