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Senior Data Scientist (Marketing)

Negotiable

At Huuuge Games , we build top-grossing mobile games that bring people together through fun and social experiences - and our data is what powers it all. As a Senior Data Scientist , you'll join an embedded team operating at the intersection of marketing and data science: sitting within the marketing function while collaborating closely with a group of highly skilled, curious, and driven data scientists who work with leading-edge tools, shape best practices, and transform data into real business impact. You'll be at the center of our data-driven marketing transformation — working on decisions that reach millions of players worldwide, from player behavior modeling to large-scale personalization systems. This is a role with real autonomy, real stakes, and genuinely interesting problems. If you're excited by meaningful work, a team that pushes the craft forward, and the chance to build something that scales globally - this is where you want to be. We are an in-office-first company and operate in a hybrid model (3 days from the office). How will you make an impact with us? As a Senior Data Scientist embedded in the Marketing team at Huuuge, you'll play a key role in shaping how we acquire players, invest our marketing budget, and measure success. Your work will directly influence strategic decisions, budget allocation, and our understanding of what drives sustainable growth. You'll be a trusted partner to Marketing stakeholders across UA, ASO, Creative, helping turn data into decisions and identifying opportunities before they become requests. You will: - Lead end-to-end Data Science initiatives, from problem definition and experimentation to implementation and business adoption, ensuring your work translates into measurable business outcomes. - Build predictive models (LTV, ROAS, payback) that directly influence how marketing budgets are allocated across channels, geographies, and growth initiatives. - Shape the future of our marketing measurement framework by advancing attribution methodologies through MMM, MTA, and incrementality testing, helping us better understand what truly drives performance. - Proactively identify business opportunities, challenge assumptions, and bring forward data-driven recommendations that influence strategy and create measurable impact. - Partner closely with Marketing teams, becoming a trusted advisor and the go-to expert for data-driven decision-making across the organization. - Translate complex analyses into clear, actionable recommendations that stakeholders can quickly under

The Senior Java Developer will be joining a team of top server engineers that design and build the heart of H5G games and product platform. The right candidate will be challenged to help propel H5G to the top tier of social gaming through adoption and application of the latest in the Server side, Big Data and AI technology, such as high scalable cloud based infrastructure, stream analysis and machine learning. The person will be a key contributor to aspects of design and delivery of all H5G Server Systems, Services and Data Stores. Technical expertise – Architecture & Systems Development Deep expertise in and experience with Java server side development (6 years+), real time distributed systems, both monolithic and micro services architectures. - 5+ years of design and delivery of high volume highly available back end infrastructures – Telcos / Trading / AdTech systems, etc. Understanding of enterprise architecture patterns. - Experience of REST API design and implementation (preferred frameworks: Dropwizard, Spring Boot 2.5+) - Gaming or Equity trading server side experience is a plus - Experience delivering systems at large scale (20K+ mps) using modern streaming systems and distributed data systems (preferred google pub/sub, kafka, hazelcast) - Understanding of the Distributed System Concepts: Leadership, Consensus, In-Sync Replicas, Partitioning - 6+ years of hands on Java development, strong familiarity with Java 8/11/17+ - Strong understanding of key security concepts and patterns - Good understanding of enterprise and mobile facing systems architecture - Developing and implementing unit, integration, and system tests to ensure the quality and reliability of the code; understanding and applying various testing methodologies (TDD, BDD) - Ability to analyze and optimize application performance, identify bottlenecks, and implement solutions to improve speed and efficiency. This often involves profiling and tuning database queries, application code, and infrastructure. - Wide experience in Identifying, diagnosing, and resolving complex technical issues in a timely and efficient manner; strong debugging skills and effective troubleshooting production issues. - The team has unlimited company provided access and is using LLM tooling in daily work (cursor, cursor cli, codex cli, gemini, etc.) however these are   treated as tools and code quality responsibility layers with team members   independent of tool used. <span style="font-fami

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Machine Learning Lead Programmer

Negotiable

PLAY, GROW and WIN To be a part of Virtuos means to be a creator. At Virtuos, we harness the latest technologies to make games better and more immersive than ever before. That is why we pride ourselves in constantly pushing the boundaries of possibility since our founding in 2004. Virtuosi is a team of experts – people who have come together to share their mutual passion for making and playing games. People with the same enthusiasm for exploring new ideas and the constant drive to excel in their field. People who believe in earning success through dedication. At Virtuos, we are at the forefront of gaming, creating exciting new experiences daily. Join us to Play, Grow and Win – together. ABOUT THE POSITION At Virtuos, we harness the latest technologies to make games better and more immersive than ever before. That is why we pride ourselves in constantly pushing the boundaries of possibility since our founding in 2004. Responsibilities We are looking for a Backend Machine Learning Programmer to build the scalable services and data infrastructure that power our AI products. You will design cloud-native systems on AWS, build large-scale data pipelines, and deploy and serve machine-learning models in production. You will join the team advancing AI-assisted coding and agentic approaches across Virtuos - creating AI agents and solutions that make our developers more productive - alongside our work, to a smaller degree, on real-time AI, game AI, and quality-engineering agents. This is a global Virtuos role. Being based in our Kuala Lumpur office is a plus but not required. On-site presence is expected at the start, and a hybrid arrangement (three days in the office, two days from home) can be agreed after an initial on-site period. A fully remote arrangement is not offered for this role. We're happy to discuss individual circumstances and reasonable accommodations within this arrangement. <ul style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); border: 0px; color: rgb(120, 120, 120); font-family: "Open Sans", Arial, sans-serif; font-feature-settings: inherit; font-kerning: inherit; font-language-override: inherit; font-optical-sizing: inherit; font-size-adjust: inherit; font-size: 14.001px; font-stretch: inherit; font-style: normal; font-variant-alternates: inherit; font-variant-caps: normal; font-variant-east-asi

Senior AI Data & Analytics Engineer at Goodgame Studios. German games industry role. Company category: Developer & Publisher. Job category: Business Intelligence / Data. Job type: Full-Time. Added: 04.07.2026.

We’re looking for a Senior Data Scientist to help shape and expand the analytics backbone of our games ecosystem. This role is both deeply technical and highly collaborative—you’ll work across teams and disciplines to transform complex data into actionable insights that drive product innovation, player engagement, and business growth. The ideal candidate will have a solid quantitative background, specifically including a mature understanding of statistics, logic, measurement theory, linear algebra and practical, demonstrated experience in modeling and machine learning. Further, strong analytical and problem-solving and troubleshooting skills are required; fluency in coding, algorithms, and systems design; clean and effective communication skills; genuine interest in solving complex problems. A resilience against failure and constructive criticism to iterate through difficult problems efficiently. You’ll thrive here if you combine strong quantitative expertise with a curious, problem-solving mindset, the ability to work in ambiguous, evolving contexts, and the determination to own projects end to end, from research to real-world impact.   You will play a crucial role in scaling   data science products that have a direct impact on the success of High 5 Games! What You’ll Do - Design, implement, and maintain robust data pipelines, from event generation through ETL to clean, intelligent storage. - Retrieve, process, and integrate data using APIs and webhooks, ensuring quality, accuracy, and integrity at every step. - Develop reporting layers—dashboards, automated reports, and notifications—to deliver insights across teams. - Curate raw data into meaningful structures for CRM, product, and monetization teams. - Build predictive and optimization models for areas like player lifetime value, churn prediction, monetization strategies, and game recommendations. - Define and execute multivariate testing frameworks to optimize product and campaign performance. - Explore and apply state-of-the-art AI and ML techniques, in real-time processes, proposing innovative approaches for real-world challenges. - Partner and influence cross-functional teams—including CRM, Server, Data Engineering, and Leadership—to implement end-to-end solutions quickly and effectively. - Align data projects with business goals and ROI considerations, applying pragmatic 80/20 thinking to maximize impact. - Deeply understand and navigate the abstract mechanics of our ecosystem—game economies, monetization levers, RTPs, and more. Requirements: - <span style="font-family: A

T

Mid/ Senior Data Scientist (f/m/d)

Negotiable

HYBRID WORK MODEL: 3 DAYS PER WEEK (60%) IN OUR WROCLAW OFFICE AND 2 DAYS REMOTE About us Hi, we are Ten Square Games , and we live games! No, not a typo - but a level up from loving! We are on a mission of giving players excellent outdoor experiences on their mobiles. With global hits, such as Fishing Clash, we know how to make the best of technology, fun, and fair play. With 77 million registered players in 2024 and 300+ people on board , we keep growing and learning, having the insatiable hunger for the next success. If you also like to explore the unknown and know how to own it, we want to work with you! What is this job all about? In the R&D team , our Data Scientists (f/m/d ) help improve the gaming experience for our players. You’ll work hand-in-hand with product, design, and engineering teams to turn complex player data into deep analyses, experiments, and insights that shape what we build next. As a data enthusiast, you’ll translate business and product questions into analytical problems - and their results into clear recommendations for our Product Management colleagues. Whether you're building a segmentation model, designing an A/B test, or explaining your findings to team leaders, you'll play a key role in enhancing the gaming world. What will you be doing? - We work end-to-end the entire journey of an analytical problem - from the business need, through analysis, to conclusions and recommendations: - understand product and data-related needs, and effectively collect requirements, then plan the end-to-end process; - work closely with our data engineers to design, build, and maintain game data pipelines, aligning them with specific reporting and analytics requirements; - conduct complex exploratory and statistical analyses in Python and internal tools - including player segmentations and, occasionally, methods like clustering/modeling/ simulating when the problem calls for it; - build visualizations and develop "numerical intuition" in colleagues who don't work with data daily. - Set KPIs and implement A/B tests to optimize player income throughout the game lifecycle. -

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Technical Machine Learning Producer

Negotiable

PLAY, GROW and WIN To be a part of Virtuos means to be a creator. At Virtuos, we harness the latest technologies to make games better and more immersive than ever before. That is why we pride ourselves in constantly pushing the boundaries of possibility since our founding in 2004. Virtuosi is a team of experts – people who have come together to share their mutual passion for making and playing games. People with the same enthusiasm for exploring new ideas and the constant drive to excel in their field. People who believe in earning success through dedication. At Virtuos, we are at the forefront of gaming, creating exciting new experiences daily. Join us to Play, Grow and Win – together. ABOUT THE POSITION At Virtuos, we harness the latest technologies to make games better and more immersive than ever before. That is why we pride ourselves in constantly pushing the boundaries of possibility since our founding in 2004. Responsibilities • Own the roadmap, planning and delivery of the team's machine-learning and AI products. • Translate product goals into technically-grounded milestones and actionable work. • Scope machine-learning efforts hands-on, reasoning about data, training, evaluation and deployment trade-offs. • Track experiments, metrics and model quality, and make data-driven prioritization decisions. • Coordinate machine-learning engineers, game teams, design and quality engineering, and run Agile/Scrum ceremonies. • Manage risks, dependencies, timelines and stakeholder communication. • Define success criteria and evaluation plans for AI features. Qualifications • Proven experience delivering software as a technical producer or technical program manager, ideally for machine-learning/AI or game products. • A solid working understanding of the machine-learning lifecycle — data, training, evaluation and deployment (MLOps). • The ability to read and review code in at least one language (for example, Python) and reason about machine-learning and agentic systems; this is a hands-on technical role, not purely process management. • Game development delivery experience. • Strong organization, stakeholder-management and communication skills. • Comfort with Agile/Scrum, experiment tracking and metrics. • Bachelor's degree in Computer Science, Engineering or equivalent practical experience. • Excellent written and spoken English. • Around 6+ years delivering software, including technical-producer or technical-program-manager experience. • Hands-on experience with AI coding assistants such as Claude Code, Codex CLI, GitHub Copilot or equivalent (required).

Role Overview The Senior AI Programmer at Starbreeze leads the technical development of AI systems that make our game worlds feel alive, reactive and challenging. Combining deep AI programming expertise with strong gameplay sensibility, you work with considerable autonomy across the full development cycle - architecting enemy behaviours, decision-making frameworks and perception systems that define the quality and depth of the player experience in our multiplayer environment. The role is based in Stockholm. Key responsibilities - Architect, implement and iterate on complex AI systems including enemy behaviours, perception, decision-making, navigation and group coordination, ensuring they are robust, scalable and performant in a multiplayer environment - Act as the primary technical authority for AI programming, contributing to high-level design discussions and shaping the direction of AI systems from early concept through to live - Collaborate closely with game directors, designers and other disciplines to ensure AI features are technically sound, creatively aligned and deliver compelling, believable gameplay experiences - Identify and resolve complex and systemic AI issues across both development and live environments, ensuring robust, performant and maintainable solutions - Define and evolve AI programming standards, architecture patterns and best practices, improving the quality and consistency of AI systems across the team - Evaluate new AI techniques, tools, engine features and third-party solutions, making informed recommendations that advance both AI quality and production efficiency - Mentor and support less experienced programmers, providing technical guidance on AI architecture, debugging practices and gameplay systems development Qualifications - Extensive experience as an AI or Gameplay Programmer in the games industry with multiple shipped titles, including at least one in a senior or lead capacity with a strong AI focus - Expert-level proficiency in C++ with deep hands-on experience developing complex AI systems in Unreal Engine, including behaviour trees, EQS and navigation systems - Strong understanding of AI programming concepts including finite state machines, goal-oriented action planning, perception systems and group AI behaviours - <strong id="docs-internal-guid-01155135-7fff-1

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AI Automation Team Lead

Negotiable

Our Company – playSTUDIOS VIETNAM Come join an ambitious mobile entertainment company which committed to leveraging the best technology we can to create fun experiences. We have big plans and would be thrilled for you to consider us. playSTUDIOS Vietnam is a Vietnam subsidiary of the United States-based leading mobile & social games company playSTUDIOS Inc. We are backed by dominant, multi-billion-dollar market leaders in the leisure and video game industries and a collection of powerhouse venture capital firms. Our founding team has over a century of collective gaming experience. We are building a best-of-breed development and operations group and are looking for top-tier talent who can help us create and optimize high-quality games in the rapidly evolving social and mobile gaming markets. Our company has high growth rates, with an established company's stability and financial security. We guarantee high-quality work, AAA entertainment brand exposure, competitive compensation, and great benefits. We're thrilled to share: - Our website and portfolio game: https://www.playstudios.com/ - Our core game, let's try: https://www.myvegas.com/ - Our Vietnam's Facebook page: https://bom.so/A6A5VO - Our Vietnam's LinkedIn page: https://bom.so/04caqr ABOUT THE ROLE The AI Automation Team Lead drives automation, builds operational tools, and applies AI-assisted workflows to improve engineering productivity. This is a hands-on leadership role, managing a small team while actively developing solutions. Working cross-functionally, the role aims to eliminate repetitive work, streamline operations, and reduce the cost of running live games through scalable automation and intelligent tooling. RESPONSIBILITIES 1. Technical Leadership and Team Development: - Lead and mentor a small team of AI Automation Engineers . - Provide technical guidance and code-level leadership across automation projects. - Set engineering standards for automation tooling, scripting, and AI-assisted workflows. - Ensure solutions are maintainable, well-documented, and reusable across titles. - Help grow the team over time as the studio expands its portfolio. 2. Hands-on Automation Engineering - Design and implement automation tools and scripts that eliminate repetitive operational work. - Build reusable operational tooling that can be used across multiple game teams. - Collaborate directly with Game Engineers and technical owners to automate operational tasks. - Maintain and evolve internal tooling used for LiveOps operations, QA workflows, and release support. 3. AI-Assisted Engineering and Tooling - Promote practical adoption of AI-assisted development tools within automation workflows. - Experiment with AI-driven approaches to automation generation, log analysis, and operational diagnostics. - Identify opportunities where AI can improve debugging, operational insight, and engineering productivity. - Work with technical leadership to ensure responsible and effective use of AI across the studio. 4. Operational Efficiency and Workflow Improvements - Identify and reduce manual work across LiveOps, QA, and

- Are you excited about building ML systems that make predictions in real-time? - Are you driven by building things end-to-end, from research to live systems? If the answers to the above questions are yes, then this role could be ideal for you! We are building real-time prediction systems for competitive esports (CS2, Dota 2, League of Legends). Our models power live betting markets, producing continuously updated win probabilities, handicap lines, over/under totals, and specialty markets during matches. We are looking for a Senior Data Scientist to lead the research, design, and continuous improvement of our core predictive models. You will be the driving force behind the math, statistical logic, and feature engineering that make our models highly accurate and profitable. You will tackle complex problems in high-frequency data, design rigorous backtesting frameworks, and work on bridging theoretical research and live product features. What you will do - Design, build, and optimise the machine learning models and statistical frameworks that power our real-time odds and betting markets - Extract deep predictive signals from raw, high-frequency esports telemetry, turning complex in-game mechanics into structured modelling features - Focus on model performance and probability calibration. Design rigorous backtesting frameworks to prevent data leakage and evaluate performance against historical market baselines - Create the mathematical rules and probabilistic derivations that translate baseline win probabilities into complex derivative markets (handicaps, totals, player props) - Ensure your models are seamlessly translated into production-grade pipelines and microservices Your skills will include (must have) - 5+ years of professional experience in data science, quantitative research, or statistical modelling - Deep, intuitive understanding of probability, statistics, and machine learning theory - Expert-level skills in the Python data stack. You write clean, production-grade code - Proven experience designing complex backtesting environments and defining custom evaluation metrics for unique business problems Nice to have - Strong understanding of betting concepts, odds, overround, market-making, or quantitative trading. You understand what it means to build models where calibrated probabilities directly drive revenue - Experience modelling off streaming data or data that updates continuously over time - Deep knowledge of competitive esports (CS2, Dota 2, LoL), the underlying game mechanics, and the competitive meta - Understanding of modern MLOps principles and experience with tools like MLFlow, Airflow, etc.

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Transformation Lead, AI — APAC

Negotiable

PLAY, GROW and WIN To be a part of Virtuos means to be a creator. At Virtuos, we harness the latest technologies to make games better and more immersive than ever before. That is why we pride ourselves in constantly pushing the boundaries of possibility since our founding in 2004. Virtuosi is a team of experts – people who have come together to share their mutual passion for making and playing games. People with the same enthusiasm for exploring new ideas and the constant drive to excel in their field. People who believe in earning success through dedication. At Virtuos, we are at the forefront of gaming, creating exciting new experiences daily. Join us to Play, Grow and Win – together. ABOUT THE POSITION As Virtuos scales its agentic AI platform across our global studios, we need strong transformation leaders to drive adoption on the ground. This role owns change management for APAC, working hand in hand with our AI builders, AI Champions, and studio leadership to ensure that AI tools and agents deliver measurable impact across studios. WHAT WE OFFER - A high-impact role at the center of one of the games industry's most ambitious AI programs - Direct line to the Chief AI Officer, who brings deep experience building cutting-edge agentic systems in enterprise - The opportunity to drive real change across a network of world-class game development studios Please note that shortlisted candidates can expect to hear from us from the second week of June onwards. We appreciate your patience and understanding. At Virtuos, we harness the latest technologies to make games better and more immersive than ever before. That is why we pride ourselves in constantly pushing the boundaries of possibility since our founding in 2004. Responsibilities - Own change management and adoption of AI tools across our APAC studios - Be the voice of the user back to the central product and engineering teams - Run enablement, training, and onboarding programs for studio teams - Identify and address resistance; turn detractors into advocates - Enable and amplify the AI Champion network in your region Qualifications - 4-5+ years in transformation, change management, or management consulting, with hands-on experience driving adoption in complex organizations - Strong stakeholder management; comfortable working with both technical and non-technical teams - Excellent communication and influencing skills - Willingness to travel regularly across studios in the region - Bonus: technical background (engineering, data, or ML); experience in gaming or creative industries About us Founded in 2004, Virtuos is one of the largest independent video game development companies. We are headquartered in Singapore with offices in Asia, Europe, and North America. Specializing in full-cycle game development and art production, we have delivered high-quality content for more than 1,500 console, PC, and mobile games. Our clients include 23 of the top 25 gaming companies worldwide. About Our Team Virtuos first set foot in Singapore in 2018, establishing our new head office at the One-North technology park located just a few minutes away from the city center. Virtuos Singapore is home to several skilled executives and engineers who support our studios globally. Many of our corporate departments are located here, as well as our new R&D center, dedicated to developing new tools and techniques that allow our global studios to remain at the cutting edge of technology.

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Senior AI Engineer

Negotiable

Companion Group is a AAA co-development gaming studio with a globally distributed and fully remote setup, renowned for its adeptness in overcoming the most intricate challenges in multiplayer game development. Our reputation precedes us as an excellent choice for clients aspiring to elevate their latest multiplayer titles, enabling scalability in player numbers, maximising player density, and crafting immersive gameplay experiences. Embedded seamlessly within a client's in-house team, we collaborate harmoniously to turn dreams into reality. Our portfolio boasts groundbreaking games developed in collaboration with major studios worldwide. As a fully remote studio with colleagues across the globe, we value and emphasise clear, continuous, and transparent communication as highly as technical skills. As a Senior AI Engineer , you’ll be at the heart of bringing virtual worlds to life by crafting highly believable, complex, and scalable AI systems for multiplayer games. You will work closely with a talented team of developers, designers, and animators to build robust agent decision-making architectures, optimize pathfinding for massive entity counts, and deliver seamless, network-efficient AI behavior. Your expertise will drive critical aspects of our AI technology stack, ensuring players face challenging, immersive, and memorable adversaries and companions. - Architect & Implement: Design, develop, and refine cutting-edge, multiplayer-ready AI frameworks, decision-making systems, and navigation architectures inside and outside of Unreal Engine. - Write Clean Code: Produce elegant, highly efficient, and maintainable C++ code optimized for low-latency and low-CPU overhead. - Optimize Performance: Leverage an expert-level understanding of data structures, algorithmic complexity, and multi-threading to handle high-density AI populations without compromising server framerates. - Collaborate: Partner with cross-functional teams, particularly designers and animators, to build expressive, tactical, and innovative AI behaviors that align with game design pillars. - Network Integration: Contribute to the architecture of server-authoritative AI, optimizing how agent states, sensory data, and movement are replicated across complex multiplayer environments. - Problem Solve: Tackle intricate technical hurdles related to dynamic pathfinding, spatial reasoning, group coordination, and custom steering behaviors in dense, chaotic game worlds. Qualifications & Technical Skills - Experience: 6+ years of professional game development experience, with a heavy emphasis on core game AI architecture. - Engine Expertise: 4+ years of deep experience within Unreal Engine , specifically working with AI controllers, navigation meshes (NavMesh), and behavior systems. - Proprietary Engines: Experience working with at least one proprietary game engine (utilizing C/C++ OOP or ECS paradigms). - AI Architecture Mastery: Deep understanding of modern game AI methodologies, including Behavior Trees, State Trees, Hierarchical Finite State Machines (HFSM), and Utility AI. - C++ Proficiency: Excellent C++ programming skills, including proficiency in modern standards (C++17 and C++20) applied to performance-critical systems programming. - Multiplayer Awareness: Solid understanding of Client-Server game architecture and how AI processing, physics, and animation budgets behave under server-authoritative setups. - Soft Skills: Excellent co

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AI Infrastructure Engineer, Sandbox Platform

Negotiable

As a Software Engineer on the AI Infrastructure team, you'll help build and evolve our agent sandboxing platform — the secure, high-performance code execution layer powering our agentic workflows, deployed across both internal and customer-managed environments. This is a role for someone who cares as much about the experience of the engineers and researchers using this system as they do about the kernel internals underneath it. You'll combine deep systems expertise (isolation, virtualisation, performance) with an obsession for developer experience: clean APIs, clear error messages, good docs, and a client library that feels well-crafted.

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Agent Post-Training, Computer Use Research

Negotiable

Train frontier agent models to use browsers, desktops, and tools reliably through RL, evals, data pipelines, and product-linked post-training work.

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Machine Learning Engineer, Integrity

Negotiable

Train and deploy ML models and LLM-based classifiers for platform integrity, abuse prevention, and scalable trust and safety systems.

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Software Engineer, Distributed Data Systems - Robo...

Negotiable

Design and scale distributed data and ML infrastructure for multimodal robotics training and evaluation pipelines.

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Data Scientist, GTM Intelligence

Negotiable

Define and operate decision systems that use product, commercial, and customer data to prioritize accounts, identify opportunities, and improve GTM intelligence products.

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Applied AI Engineer, GTM Growth Engineering

Negotiable

Build production AI systems for go-to-market workflows, improving agent behavior through evaluation, experimentation, feedback pipelines, and monitored rollouts.

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Analytics Engineer, Safety Systems

Negotiable

Own canonical datasets and safety metrics products that help engineering, research, and data science teams monitor robustness, reliability, and safety outcomes.

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AI Deployment Engineer- Codex

Negotiable

Partner with engineering teams to deploy Codex workflows, build demos and automations, and shape customer-facing adoption of AI coding systems.

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AI Deployment Engineer, Agent Enablement

Negotiable

Help partners launch secure agent integrations across web apps, APIs, CLIs, MCP servers, and developer tools, with emphasis on identity, permissions, and reliable deployment.

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AI Systems Engineer, Codex Agents

Negotiable

Build the core Codex agent harness, orchestration, sandboxing, eval, and observability systems that make coding agents dependable in production.

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Applied AI Engineer, Codex Core Agent

Negotiable

Build and improve Codex agents for real software engineering tasks, with work spanning evals, prompting, tool use, reliability, and agent feedback loops.

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Senior Product Manager - Agent Integrations

Negotiable

Datadog's integrations are the connective tissue between our platform and the technologies our customers run in the real world. As a Sr. PM on the Agent Integrations team, you will own the vision, prioritization, and execution for 100+ integrations that run directly inside the Datadog Agent from foundational infrastructure (MySQL, Kafka, Kubernetes) to the rapidly growing landscape of self-hosted AI and on-premise enterprise technologies. This is a high-impact, breadth-first role at the intersection of infrastructure observability and the frontier of AI-native workloads. At Datadog, we place value in our office culture; the relationships it builds, the creativity it brings, and the collaboration of being together. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: - Own the Agent Integrations roadmap. Determine which new integrations to build and which existing ones to improve, balancing customer demand, business impact, and engineering capacity across a catalog of 100+ technologies. - Drive the expanding AI integration surface. Lead product strategy for self-hosted AI workloads, including LLM inference frameworks (e.g., Hugging Face TGI, BentoML), AI agents, MCP servers, and model orchestration tools, so Datadog customers can monitor every layer of their AI stack. - Expand on-prem and hybrid coverage. Prioritize and execute new integrations for on-prem technologies including storage systems, HPC schedulers, network devices, and legacy enterprise platforms where customers run critical workloads. - Build observability for ERP systems. Define and drive Datadog's strategy for monitoring enterprise ERP platforms (SAP, Oracle EBS/Fusion, Microsoft Dynamics) covering performance, job execution health, and integration layer telemetry so enterprise customers can observe their ERP stack alongside the rest of their infrastructure. - Analyze adoption and customer feedback at scale. Use data from multiple sources to understand usage patterns, identify high-value improvements, and maintain a structured, prioritized backlog across dozens of integrations simultaneously. - Work cross-functionally to ship and grow. Partner with Engineering, PMM, Sales, and Technology Partner Managers on launches, GTM content (blogs, landing pages, conference demos), customer design partnerships, and co-marketing. - Remove blockers and accelerate delivery. Engage directly with customers and partners to gather requirements, resolve legal or partnership dependencies, and keep integrations moving from scoping to GA. - Contribute to the broader Integrations vision. Align with adjacent PM teams (SaaS Integrations, Integrations Experience, Developer Tooling) to ensure the Agent Integrations catalog supports Datadog's downstream products including NDM, AI Observability, Security, and CCM. Who You Are: - Experienced PM with a technical foundation. You have 5+ years as a Product Manager with a Software, Solutions, or Systems Engineering background. You're comfortable navigating complex technical topics and translating them into clear product decisions. - Deeply familiar with cloud and OSS ecosystems. You have hands-on PM or Engineering experience with services from major cloud providers or popular open-source technologies (e.g., MongoDB, Kafka, Kubernetes, PostgreSQL). Someone with no exposure to the ecosystem of technologies we integrate with will have too steep a learning curve. - Structured and analytical. You follow a rigorous process for prioritizing across a large backlog analyzing adoption data, customer feedback, and market signals to make confident, defensible calls on what to build next. - Intellectually curious. You actively seek out new technologies and can explain why an emerging space matters before the rest of the market sees it. You're excited about where AI infrastructure is heading and want to help Datadog be the observability layer for it. - A strong communicator. You can hold a technical conversation with an engineer, a strategic discussion with a VP, and a discovery interview with a customer and you adjust your style for each. - Organized at scale. You can manage many integrations in parallel without losing visibility into any of them. You build lightweight systems to track status, adoption, and customer signals across a broad portfolio. 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. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $192,000 - $240,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .

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Staff AI Product Analyst, Product Management | USA...

$162,275 – $194,730

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 position. We are looking for candidates in the the USA on Eastern time zones. About the Role We’re looking for a Staff Product Analyst to join our growing Product Analytics team and serve as a strategic partner to Grafana’s AI organization . This role will support the teams building Grafana Assistant , our synchronous chat experience; Investigations , our asynchronous AI workflow for incident analysis; and AI observability solutions , including Agent Observability . You will shape how the AI team measures success by defining KPIs, improving measurement practices, guiding experiment design and evaluation, and translating data into recommendations that influence product decisions. This is a highly cross-functional role. You’ll work closely with Product, Design, Engineering, and Data partners, with a primary focus on supporting the AI team, and report to the Product Analytics Manager If you’re excited about building strong product analytics capabilities and using data to shape the future of AI-powered experiences at Grafana , we’d love to hear from you. You Will - Partner cross functionally across Product to establish top-level KPIs, dashboards, and product roadmap planning - Define how success is measured for AI-powered product experiences, including adoption, engagement, quality, retention, and user outcomes - Guide the instrumentation of product data in collaboration with our Product Design, Product Management, and Engineering teams to enable reliable analysis of AI features and workflows. - Design, evaluate, and interpret experiments to assess the impact of new AI capabilities and inform product decisions. - Develop dbt models to transform and test our user behavior data in partnership with our Analytics Engineering team - Influence best practices for Product Analytics across teams and help define standards as the company scales - Contribute to defining the long-term vision and strategy for Product Analytics, balancing near-term needs with scalable, durable solutions. You have - Experience partnering across product and engineering organizations, and familiarity with typical product KPIs and frameworks (e.g., DAU/MAU, funnels, A/B testing) - Experience defining and tracking success metrics for complex product areas, ideally including AI-powered features or workflows. - SQL: writing complex yet efficient SQL is a daily habit for you - Data Visualization: experience with any of the following tools: Tableau, Looker, Omni, Hex, or of course, Grafana! - Experience writing dbt models, implementing Product Analytics tooling (e.g., Heap, Pendo, Amplitude, FullStory), and code version control (git) - Experience using AI-assisted coding tools (e.g., Cursor, Claude Code) to quickly prototype and iterate across analysis, data modeling, instrumentation, visualization and code development. - Excellent communication skills, able to explain technical topics to non-technical audiences, and maintain many of the essential cross-team and cross-functional relationships necessary for the team’s success A plus if you have - Knowledge about observability - Familiarity with Airflow or Prefect - generating ad hoc ETL jobs In the USA, the Base compensation range for this role is $162,275 - $194,730 USD. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: - 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. - Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. - Transparent Communication – Expect open decision-making and regular company-wide updates. - Innovation-Driven – Autonomy and support to ship great work and try new things. - Open Source Roots – Built on community-driven values that shape how we work. - Empowered Teams – High trust, low ego culture that values outcomes over optics. - Career Growth Pathways – Defined opportunities to grow and develop your career. - Approachable Leadership – Transparent execs who are involved, visible, and human. - Passionate People – Join a team of smart, supportive folks who care deeply about what they do. - In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. - Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

G

Staff AI Product Analyst, Product Management | UK...

Negotiable

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 position. We are looking for candidates in the UK, Germany, Sweden or Spain. About the Role We’re looking for a Staff Product Analyst to join our growing Product Analytics team and serve as a strategic partner to Grafana’s AI organization . This role will support the teams building Grafana Assistant , our synchronous chat experience; Investigations , our asynchronous AI workflow for incident analysis; and AI observability solutions , including Agent Observability . You will shape how the AI team measures success by defining KPIs, improving measurement practices, guiding experiment design and evaluation, and translating data into recommendations that influence product decisions. This is a highly cross-functional role. You’ll work closely with Product, Design, Engineering, and Data partners, with a primary focus on supporting the AI team, and report to the Product Analytics Manager If you’re excited about building strong product analytics capabilities and using data to shape the future of AI-powered experiences at Grafana , we’d love to hear from you. You Will - Partner cross functionally across Product to establish top-level KPIs, dashboards, and product roadmap planning - Define how success is measured for AI-powered product experiences, including adoption, engagement, quality, retention, and user outcomes - Guide the instrumentation of product data in collaboration with our Product Design, Product Management, and Engineering teams to enable reliable analysis of AI features and workflows. - Design, evaluate, and interpret experiments to assess the impact of new AI capabilities and inform product decisions. - Develop dbt models to transform and test our user behavior data in partnership with our Analytics Engineering team - Influence best practices for Product Analytics across teams and help define standards as the company scales - Contribute to defining the long-term vision and strategy for Product Analytics, balancing near-term needs with scalable, durable solutions. You have - Experience partnering across product and engineering organizations, and familiarity with typical product KPIs and frameworks (e.g., DAU/MAU, funnels, A/B testing) - Experience defining and tracking success metrics for complex product areas, ideally including AI-powered features or workflows. - SQL: writing complex yet efficient SQL is a daily habit for you - Data Visualization: experience with any of the following tools: Tableau, Looker, Omni, Hex, or of course, Grafana! - Experience writing dbt models, implementing Product Analytics tooling (e.g., Heap, Pendo, Amplitude, FullStory), and code version control (git) - Experience using AI-assisted coding tools (e.g., Cursor, Claude Code) to quickly prototype and iterate across analysis, data modeling, instrumentation, visualization and code development. - Excellent communication skills, able to explain technical topics to non-technical audiences, and maintain many of the essential cross-team and cross-functional relationships necessary for the team’s success A plus if you have - Knowledge about observability - Familiarity with Airflow or Prefect - generating ad hoc ETL jobs In the UK, the Base compensation range for this role is £91,755 - £110,106. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: - 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. - Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. - Transparent Communication – Expect open decision-making and regular company-wide updates. - Innovation-Driven – Autonomy and support to ship great work and try new things. - Open Source Roots – Built on community-driven values that shape how we work. - Empowered Teams – High trust, low ego culture that values outcomes over optics. - Career Growth Pathways – Defined opportunities to grow and develop your career. - Approachable Leadership – Transparent execs who are involved, visible, and human. - Passionate People – Join a team of smart, supportive folks who care deeply about what they do. - In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. - Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

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Staff AI Product Analyst, Product Management | Swe...

Negotiable

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 position. We are looking for candidates in the UK, Germany, Sweden or Spain. About the Role We’re looking for a Staff Product Analyst to join our growing Product Analytics team and serve as a strategic partner to Grafana’s AI organization . This role will support the teams building Grafana Assistant , our synchronous chat experience; Investigations , our asynchronous AI workflow for incident analysis; and AI observability solutions , including Agent Observability . You will shape how the AI team measures success by defining KPIs, improving measurement practices, guiding experiment design and evaluation, and translating data into recommendations that influence product decisions. This is a highly cross-functional role. You’ll work closely with Product, Design, Engineering, and Data partners, with a primary focus on supporting the AI team, and report to the Product Analytics Manager If you’re excited about building strong product analytics capabilities and using data to shape the future of AI-powered experiences at Grafana , we’d love to hear from you. You Will - Partner cross functionally across Product to establish top-level KPIs, dashboards, and product roadmap planning - Define how success is measured for AI-powered product experiences, including adoption, engagement, quality, retention, and user outcomes - Guide the instrumentation of product data in collaboration with our Product Design, Product Management, and Engineering teams to enable reliable analysis of AI features and workflows. - Design, evaluate, and interpret experiments to assess the impact of new AI capabilities and inform product decisions. - Develop dbt models to transform and test our user behavior data in partnership with our Analytics Engineering team - Influence best practices for Product Analytics across teams and help define standards as the company scales - Contribute to defining the long-term vision and strategy for Product Analytics, balancing near-term needs with scalable, durable solutions. You have - Experience partnering across product and engineering organizations, and familiarity with typical product KPIs and frameworks (e.g., DAU/MAU, funnels, A/B testing) - Experience defining and tracking success metrics for complex product areas, ideally including AI-powered features or workflows. - SQL: writing complex yet efficient SQL is a daily habit for you - Data Visualization: experience with any of the following tools: Tableau, Looker, Omni, Hex, or of course, Grafana! - Experience writing dbt models, implementing Product Analytics tooling (e.g., Heap, Pendo, Amplitude, FullStory), and code version control (git) - Experience using AI-assisted coding tools (e.g., Cursor, Claude Code) to quickly prototype and iterate across analysis, data modeling, instrumentation, visualization and code development. - Excellent communication skills, able to explain technical topics to non-technical audiences, and maintain many of the essential cross-team and cross-functional relationships necessary for the team’s success A plus if you have - Knowledge about observability - Familiarity with Airflow or Prefect - generating ad hoc ETL jobs In Sweden, the Base compensation range for this role is SEK 775,444 - 930,533 . Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: - 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. - Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. - Transparent Communication – Expect open decision-making and regular company-wide updates. - Innovation-Driven – Autonomy and support to ship great work and try new things. - Open Source Roots – Built on community-driven values that shape how we work. - Empowered Teams – High trust, low ego culture that values outcomes over optics. - Career Growth Pathways – Defined opportunities to grow and develop your career. - Approachable Leadership – Transparent execs who are involved, visible, and human. - Passionate People – Join a team of smart, supportive folks who care deeply about what they do. - In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. - Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

G

Staff AI Product Analyst, Product Management | Spa...

Negotiable

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 position. We are looking for candidates in the UK, Germany, Sweden or Spain. About the Role We’re looking for a Staff Product Analyst to join our growing Product Analytics team and serve as a strategic partner to Grafana’s AI organization . This role will support the teams building Grafana Assistant , our synchronous chat experience; Investigations , our asynchronous AI workflow for incident analysis; and AI observability solutions , including Agent Observability . You will shape how the AI team measures success by defining KPIs, improving measurement practices, guiding experiment design and evaluation, and translating data into recommendations that influence product decisions. This is a highly cross-functional role. You’ll work closely with Product, Design, Engineering, and Data partners, with a primary focus on supporting the AI team, and report to the Product Analytics Manager If you’re excited about building strong product analytics capabilities and using data to shape the future of AI-powered experiences at Grafana , we’d love to hear from you. You Will - Partner cross functionally across Product to establish top-level KPIs, dashboards, and product roadmap planning - Define how success is measured for AI-powered product experiences, including adoption, engagement, quality, retention, and user outcomes - Guide the instrumentation of product data in collaboration with our Product Design, Product Management, and Engineering teams to enable reliable analysis of AI features and workflows. - Design, evaluate, and interpret experiments to assess the impact of new AI capabilities and inform product decisions. - Develop dbt models to transform and test our user behavior data in partnership with our Analytics Engineering team - Influence best practices for Product Analytics across teams and help define standards as the company scales - Contribute to defining the long-term vision and strategy for Product Analytics, balancing near-term needs with scalable, durable solutions. You have - Experience partnering across product and engineering organizations, and familiarity with typical product KPIs and frameworks (e.g., DAU/MAU, funnels, A/B testing) - Experience defining and tracking success metrics for complex product areas, ideally including AI-powered features or workflows. - SQL: writing complex yet efficient SQL is a daily habit for you - Data Visualization: experience with any of the following tools: Tableau, Looker, Omni, Hex, or of course, Grafana! - Experience writing dbt models, implementing Product Analytics tooling (e.g., Heap, Pendo, Amplitude, FullStory), and code version control (git) - Experience using AI-assisted coding tools (e.g., Cursor, Claude Code) to quickly prototype and iterate across analysis, data modeling, instrumentation, visualization and code development. - Excellent communication skills, able to explain technical topics to non-technical audiences, and maintain many of the essential cross-team and cross-functional relationships necessary for the team’s success A plus if you have - Knowledge about observability - Familiarity with Airflow or Prefect - generating ad hoc ETL jobs In Spain the Base compensation range for this role is €82,988 - €99,586. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: - 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. - Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. - Transparent Communication – Expect open decision-making and regular company-wide updates. - Innovation-Driven – Autonomy and support to ship great work and try new things. - Open Source Roots – Built on community-driven values that shape how we work. - Empowered Teams – High trust, low ego culture that values outcomes over optics. - Career Growth Pathways – Defined opportunities to grow and develop your career. - Approachable Leadership – Transparent execs who are involved, visible, and human. - Passionate People – Join a team of smart, supportive folks who care deeply about what they do. - In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. - Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

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Staff AI Product Analyst, Product Management | Ger...

Negotiable

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 position. We are looking for candidates in the UK, Germany, Sweden or Spain. About the Role We’re looking for a Staff Product Analyst to join our growing Product Analytics team and serve as a strategic partner to Grafana’s AI organization . This role will support the teams building Grafana Assistant , our synchronous chat experience; Investigations , our asynchronous AI workflow for incident analysis; and AI observability solutions , including Agent Observability . You will shape how the AI team measures success by defining KPIs, improving measurement practices, guiding experiment design and evaluation, and translating data into recommendations that influence product decisions. This is a highly cross-functional role. You’ll work closely with Product, Design, Engineering, and Data partners, with a primary focus on supporting the AI team, and report to the Product Analytics Manager If you’re excited about building strong product analytics capabilities and using data to shape the future of AI-powered experiences at Grafana , we’d love to hear from you. You Will - Partner cross functionally across Product to establish top-level KPIs, dashboards, and product roadmap planning - Define how success is measured for AI-powered product experiences, including adoption, engagement, quality, retention, and user outcomes - Guide the instrumentation of product data in collaboration with our Product Design, Product Management, and Engineering teams to enable reliable analysis of AI features and workflows. - Design, evaluate, and interpret experiments to assess the impact of new AI capabilities and inform product decisions. - Develop dbt models to transform and test our user behavior data in partnership with our Analytics Engineering team - Influence best practices for Product Analytics across teams and help define standards as the company scales - Contribute to defining the long-term vision and strategy for Product Analytics, balancing near-term needs with scalable, durable solutions. You have - Experience partnering across product and engineering organizations, and familiarity with typical product KPIs and frameworks (e.g., DAU/MAU, funnels, A/B testing) - Experience defining and tracking success metrics for complex product areas, ideally including AI-powered features or workflows. - SQL: writing complex yet efficient SQL is a daily habit for you - Data Visualization: experience with any of the following tools: Tableau, Looker, Omni, Hex, or of course, Grafana! - Experience writing dbt models, implementing Product Analytics tooling (e.g., Heap, Pendo, Amplitude, FullStory), and code version control (git) - Experience using AI-assisted coding tools (e.g., Cursor, Claude Code) to quickly prototype and iterate across analysis, data modeling, instrumentation, visualization and code development. - Excellent communication skills, able to explain technical topics to non-technical audiences, and maintain many of the essential cross-team and cross-functional relationships necessary for the team’s success A plus if you have - Knowledge about observability - Familiarity with Airflow or Prefect - generating ad hoc ETL jobs In Germany, the Base compensation range for this role is €97,034 - €116,441. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: - 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. - Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. - Transparent Communication – Expect open decision-making and regular company-wide updates. - Innovation-Driven – Autonomy and support to ship great work and try new things. - Open Source Roots – Built on community-driven values that shape how we work. - Empowered Teams – High trust, low ego culture that values outcomes over optics. - Career Growth Pathways – Defined opportunities to grow and develop your career. - Approachable Leadership – Transparent execs who are involved, visible, and human. - Passionate People – Join a team of smart, supportive folks who care deeply about what they do. - In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. - Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

G

Staff AI Product Analyst, Product Management | Can...

Negotiable

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 position. We are looking for candidates in the USA or Canada. About the Role We’re looking for a Staff Product Analyst to join our growing Product Analytics team and serve as a strategic partner to Grafana’s AI organization . This role will support the teams building Grafana Assistant , our synchronous chat experience; Investigations , our asynchronous AI workflow for incident analysis; and AI observability solutions , including Agent Observability . You will shape how the AI team measures success by defining KPIs, improving measurement practices, guiding experiment design and evaluation, and translating data into recommendations that influence product decisions. This is a highly cross-functional role. You’ll work closely with Product, Design, Engineering, and Data partners, with a primary focus on supporting the AI team, and report to the Product Analytics Manager If you’re excited about building strong product analytics capabilities and using data to shape the future of AI-powered experiences at Grafana , we’d love to hear from you. You Will - Partner cross functionally across Product to establish top-level KPIs, dashboards, and product roadmap planning - Define how success is measured for AI-powered product experiences, including adoption, engagement, quality, retention, and user outcomes - Guide the instrumentation of product data in collaboration with our Product Design, Product Management, and Engineering teams to enable reliable analysis of AI features and workflows. - Design, evaluate, and interpret experiments to assess the impact of new AI capabilities and inform product decisions. - Develop dbt models to transform and test our user behavior data in partnership with our Analytics Engineering team - Influence best practices for Product Analytics across teams and help define standards as the company scales - Contribute to defining the long-term vision and strategy for Product Analytics, balancing near-term needs with scalable, durable solutions. You have - Experience partnering across product and engineering organizations, and familiarity with typical product KPIs and frameworks (e.g., DAU/MAU, funnels, A/B testing) - Experience defining and tracking success metrics for complex product areas, ideally including AI-powered features or workflows. - SQL: writing complex yet efficient SQL is a daily habit for you - Data Visualization: experience with any of the following tools: Tableau, Looker, Omni, Hex, or of course, Grafana! - Experience writing dbt models, implementing Product Analytics tooling (e.g., Heap, Pendo, Amplitude, FullStory), and code version control (git) - Experience using AI-assisted coding tools (e.g., Cursor, Claude Code) to quickly prototype and iterate across analysis, data modeling, instrumentation, visualization and code development. - Excellent communication skills, able to explain technical topics to non-technical audiences, and maintain many of the essential cross-team and cross-functional relationships necessary for the team’s success A plus if you have - Knowledge about observability - Familiarity with Airflow or Prefect - generating ad hoc ETL jobs In Canada, the Base compensation range for this role is $164,490 - $197,389 CAD. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: - 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. - Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. - Transparent Communication – Expect open decision-making and regular company-wide updates. - Innovation-Driven – Autonomy and support to ship great work and try new things. - Open Source Roots – Built on community-driven values that shape how we work. - Empowered Teams – High trust, low ego culture that values outcomes over optics. - Career Growth Pathways – Defined opportunities to grow and develop your career. - Approachable Leadership – Transparent execs who are involved, visible, and human. - Passionate People – Join a team of smart, supportive folks who care deeply about what they do. - In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. - Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

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Associate Product Marketing Manager

Negotiable

Perplexity is revolutionizing how companies get work done. We are seeking an Associate Product Marketing Manager to join our team and serve as the bridge between how our products actually work and how the world learns to use them. You will develop the deepest product understanding on the team and translate it into webinars and education materials that inspire adoption and drive growth. If you have a passion for understanding how things work, thrive in taking something complex and making it simple, and want to build a world-class product education engine that turns new users into power users, this role is for you. RESPONSIBILITIES - Know the product cold. Develop a deeper working knowledge of our products than anyone else in marketing, using every feature the day it ships, building the workflows yourself, and staying close to the teams that built them. - Turn complexity into clarity. Transform complex product capabilities into simple, specific, and accurate explanations, defining not just what we built, but how it works, when to use it, and why it matters. - Teach at scale. Own product webinars end to end, from content and live demos to delivery and follow-up, spanning onboarding series, feature deep-dives, and use-case walkthroughs. - Build the education engine. Create the product education materials our users learn from: how-to guides, demo flows, video walkthroughs, and use-case libraries that make customers materially better at their jobs. - Obsess over the user. Maintain a sharp, real-time view of what users misunderstand and where they get stuck, ensuring our education remains grounded in how people actually use the product rather than how we assume they do. - Measure outcomes, not just outputs. Tie webinars and education content to tangible activation, adoption, and retention, running lightweight experiments to iterate fast on format, content, and delivery. QUALIFICATIONS - 2-3 years of experience in product marketing, customer education, business development, or a related role, ideally within a high-growth technology company, or work that proves the skill regardless of title. - Proven ability to synthesize complex technical concepts into simple, specific, and provable explanations that travel across new users, power users, and admins. - Genuine obsession with product: you explore every setting, test every new feature, and can explain what a product does better than the team that built it. - Sharp teaching and storytelling skills grounded in data, with the ability to summarize how a feature works in a single sentence and demonstrate it live. - High slope: you learn unfamiliar products and domains fast, and your rate of improvement is your standout trait. - Extreme comfort delivering clarity in high-velocity, ambiguous environments.

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Product Manager, API Infrastructure

$325,000 – $347,000

About the Team: The OpenAI API team builds the foundation that enables every developer to harness OpenAI’s models safely, reliably, and at scale. We design and operate the systems that power model serving, API access, billing, developer tooling, and enterprise integrations—forming the connective tissue between OpenAI’s research breakthroughs and real-world products. Our mission is to make it effortless for anyone to build with OpenAI technology. We’re responsible for the infrastructure and product layers that allow millions of developers to integrate GPT models, fine-tune behavior, manage data, and deliver transformative experiences to their users. We collaborate across product, research, and engineering teams to ensure that innovation in model capabilities translates directly into value for customers. The API team spans multiple disciplines, including product management, infrastructure engineering, developer experience, and data systems. We care deeply about reliability, scalability, and simplicity—creating tools that let developers focus on their ideas while we handle the complexity of running world-class AI systems. About the Role: We are seeking an experienced Product Manager to define and scale the construction of our data processing, data privacy, billing, and access controls products. You will set strategy and execute on projects like expanding our regional data processing footprint, enabling new inference caching controls in the API or building APIs that make it easier for organizations to manage their spend limits. You will also define the strategy and ship foundational capabilities that ensure customers use OpenAI products securely, privately, and with enterprise-grade controls. This role partners deeply with engineering, security, legal, compliance, finance and leadership to deliver high-trust, enterprise-grade systems. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: - Develop an enterprise data control plane to securely access and manage enterprise data for LLM use - Drive product strategy for safety controls, privacy features, access management, and API usage/cost visibility. - Build and improve data governance capabilities: retention, encryption, audit logs, permissions, and lifecycle management. - Lead development of access control models, identity flows (SSO/SAML, SCIM), and admin tooling. - Oversee usage metering, cost dashboards, alerts, budgeting tools, and predictable API cost experiences. You might thrive in this role if you : - Have experience in security, privacy, data infrastructure, or usage-based platform products. - Strong understanding of data governance, access controls, and enterprise identity. - Experience with usage metering, cost-management tooling, or billing-adjacent systems. - Ability to work across security, legal, engineering, compliance, and finance domains. - Strong systems thinking, analytical skills, and comfort operating in high-risk, high-trust areas. - Proven experience leading large, complex, highly technical cross-functional teams. Mentoring/leading others is a plus. - Excellent communication and ability to drive alignment across complex technical and regulatory environments. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Product Designer

Negotiable

ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE: We're looking for a Product Designer to help shape the experience for the developers and teams who build on LangChain. You'll work across our core product surfaces, and depending on where the need is greatest, that could include how developers get from first signup to real production usage, as well as deeper platform workflows like debugging, evaluation, and observability. The common thread is developers doing technical, often high-stakes work, and needing an interface that gets out of their way. You'll partner with engineering, product, and other designers to figure out where the friction is and design your way out of it. WHAT YOU'LL DO: - Build a deep understanding of how developers actually use LangChain's products through interviews and feedback sessions so your design decisions are grounded in real behavior and address user needs - Own the full design arc on your features — from early concepts to polished, shipped work - Work across a range of product areas and design initiatives as priorities shift - Collaborate closely with product, engineering and other key stakeholders to ship new features quickly WHAT YOU'LL BRING: - 3+ years of fullstack product design experience ideally working on developer tools, AI, or complex SaaS products - Sharp eye for detail, with a strong foundation across user-centered design, interaction design, and visual craft - A track record of solving hard interaction design problems, particularly around dense technical data - Data-driven decision making - you are comfortable driving user research, both with internal stakeholders and external customers, and using what you learn to inform your designs - You take initiative and ownership of tasks end-to-end - Strong technical acumen - you collaborate effectively with engineers to design things that are both well-crafted and feasible - Start-up DNA - you thrive in fast-paced, highly dynamic environments Annual salary range: $145,000-$185,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

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Product Manager, Sensitive Deployments

$347,000 – $385,000

About the Team The Integrity team builds the systems OpenAI uses to understand, prevent, and respond to misuse across our products. We partner with Product, Policy, Safety Systems, User Operations, Security, Legal, Privacy, OpenAI for Government, and research teams to turn policy and threat models into product controls, review workflows, measurement systems, and enforcement paths. About the Role We are hiring a Product Manager to own Integrity's product strategy for sensitive deployments: contexts where model capability, customer or deployment setting, privacy constraints, and misuse potential make the operating bar unusually high. This includes government and other high stakes deployments, regulated or high-trust enterprise contexts, zero data retention and privacy-constrained environments, and agentic workflows where harm can unfold across many steps rather than a single prompt. The Sensitive Deployments PM will focus on high-consequence use cases relevant to government deployments and broader deployment-readiness questions for high-risk domains (e.g., healthcare), while building reusable Integrity capabilities for agentic detection and enforcements in these environments. This position is based in San Francisco, CA, with relocation assistance available. In this role, you will: - Own the roadmap for sensitive deployment Integrity controls and readiness criteria. - Define how we measure residual risk, decision quality, review quality, and mitigation effectiveness. - Build agentic investigation and context-assembly workflows for complex, multi-step misuse patterns. - Partner with Policy, Legal, Privacy, Safety Systems, User Ops, Government, and product teams to build shared capabilities. - Create launch and deployment playbooks for sensitive customer, capability, and product contexts. You might thrive in this role if you: - Have shipped complex product systems in AI, integrity, trust and safety, security, privacy, risk, government, regulated enterprise, or AI safety. - Can turn ambiguous policy and threat-model questions into product requirements, metrics, operational workflows, and tradeoff frameworks. - Are energized by agentic AI products and want to build the platform layer that makes them safer to deploy. - Care about security, privacy, and responsible deployment, while still wanting to build concrete product systems. 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.

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Product Manager, Developer Productivity

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Product Manager focused on Developer Productivity, you'll partner with Infrastructure, Inference, Research, and Product Engineering to build the systems that determine how thousands of engineers and researchers at Anthropic develop, build, test, and ship code—the foundation on which every model, evaluation, and product feature depends: - Partner with Developer Productivity engineering teams to own the end-to-end developer experience—from the source control and language ecosystems that underpin our monorepo, to the build and CI infrastructure that keeps thousands of daily builds running reliably across multiple cloud providers, to the acceleration tooling that deeply integrates Claude into every engineer's workflow. - Your work directly impacts engineering velocity across the entire company: defining the abstractions for how code moves from idea to production, establishing the metrics that surface friction before it compounds, and making the trade-offs that keep a rapidly scaling engineering organization shipping with confidence. - You'll drive the evolution of our developer platform through a fundamental shift in how software gets built—as AI agents move from autocomplete to autonomous collaborators, the definition of "developer" is changing, and our tooling, governance, and workflows must change with it. You'll be defining what developer productivity means when a meaningful share of code is written, tested, and reviewed by Claude itself. - You will define and own the strategy and roadmap across build systems, CI/CD pipelines, developer environments, accelerator toolchain management (GPU, TPU, Trainium), and the AI-native acceleration layer that makes Anthropic the most productive place in the world to build frontier AI. Responsibilities: - Deeply understand the needs of internal customers across Research, Inference, Infrastructure, and Product—from researchers iterating on training code who need fast, reproducible builds to inference engineers managing compute-intensive toolchains with strict compatibility constraints. - Define and iterate on the developer experience model: the workflows, tooling primitives, and feedback loops that govern how engineers and AI agents collaborate on code—including how we measure productivity when the unit of work is no longer a human typing. - Partner with engineering leads to design build, CI, and test infrastructure that scales non-linearly with engineering headcount—ensuring that as Claude takes on more of the inner loop, the outer loop (review, validation, deployment) doesn't become the new bottleneck. - Drive product strategy and roadmap for developer acceleration, including AI-assisted code review, agent-driven test generation, automated dependency management, and the governance frameworks that let teams safely delegate work to autonomous systems. - Own the trade-off framework between velocity, reliability, security, and cost—making transparent prioritization decisions about where to invest in human workflows versus agent workflows, and communicating them clearly to senior leadership. - Establish and champion the productivity metrics that matter in an AI-native engineering org—moving beyond commits an

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Forward Deployed Product Manager, Enterprise

Negotiable

Scale is at the forefront of the AI revolution, working with some of the largest companies in the world to unlock the potential of Generative AI for their business. We develop bespoke solutions that leverage our customer’s proprietary data and expertise to transform their businesses with AI. We work with them to understand the biggest levers for their business and then forward deploy with their teams to build cutting edge solutions. The applications we build are powered by the Scale GenAI Platform, a full stack product to build, test and deploy cutting edge agents. Some examples of GenAI applications we build are: - Content-generation systems that enable sales teams to be more effective and efficient. - Highly customized wealth management copilots that make advisors more effective by helping them tap into their knowledge bases quickly and accurately. - Text2SQL business intelligence applications to make analysts more efficient and embed a culture of data-driven decision-making. We are seeking an experienced product manager to join our team and play a pivotal role in building AI solutions with and for our customers. The ideal candidate will have a strong understanding of software engineering principles and practices and deep experience with ML/AI application development. You will be responsible for owning large AI projects for one or many customers. You will: - Develop enterprise grade solutions that leverage cutting edge AI to drive business value at world class companies across many industries. - Work with executives at Scale and our customers to determine and execute the product strategy of the business. - Own end-to-end product development by understanding customer pain points, defining product requirements, managing development, testing, and launches. - Lead cross-functional teams including engineering, product design, operations, marketing, go-to-market and finance. - Develop a point of view and execute on turning the solutions we build into repeatable software that we can commercialize across the industry. Ideally you’d have: - Technical degree in computer science, engineering, or equivalent experience - 4+ years of experience in building ML-powered products, experience in enterprise-facing products is a plus - Strong understanding of generative AI technologies and their applications in enterprise settings - Experience operating in a fast-paced environment with high ambiguity - Exceptional leadership, presentation and communication skills with the ability to influence cross-functional teams - Some coding experience (Python) PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the A

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Product Manager, Multi-Cloud Growth - Google

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Anthropic Platform Org’s mission is to help builders build. Our vision is to be the premier platform for businesses to transform themselves and their products with AI. This org is responsible for our APIs, self-serve developer experience, multi-cloud integrations, and agentic infrastructure. We serve a wide array of users from startups to large scale enterprises. The platform team is comprised of three key areas: - Enterprise fabric – where we are building multi-cloud integrations at extreme scale across our entire stack to meet businesses wherever they are and in the most demanding of requirements. - Frontier capabilities – where we are building developer experiences and features that enable users to get the most out of the model and build at the very frontier of intelligence. - Agentic platform – where we are inventing the next generation of agentic infrastructure for production-grade use and building new products to enable businesses to solve problems with agents. Responsibilities: Customer Understanding & Advocacy - Deeply engage with enterprise developers and technical leaders to understand their integration needs and pain points - Run regular feedback sessions and technical reviews with key enterprise customers - Build strong relationships with enterprise development teams to understand their workflows and challenges - Transform customer insights into actionable product requirements and priorities Product Strategy & Vision - Define and execute the enterprise API strategy, balancing security requirements with developer experience - Develop a clear roadmap for enterprise API features including authentication, rate limiting, and compliance capabilities - Identify and prioritize key enterprise integration patterns that drive organizational value Enterprise API Development - Partner with engineering to build enterprise-grade API features, security controls, and deployment tools - Design and implement enterprise integration frameworks and SDKs for common enterprise systems - Drive development of industry-specific API features and compliance capabilities Cross-functional Leadership - Partner with sales and customer success to understand enterprise requirements and support technical evaluations - Work closely with security and compliance teams to meet enterprise standards - Collaborate with platform teams on API architecture and scalability - Engage with marketing to develop enterprise API positioning and technical materials Minimum Qualifications You may be a good fit if you: - Have built or shipped products <em

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Product Manager (Builder)

Negotiable

PERPLEXITY IS LOOKING FOR PRODUCT MANAGERS TO JOIN A HIGHLY LEVERAGED, SMALL TEAM FOR BUILDING NEW PRODUCTS THAT INNOVATE TO ACCELERATE HUMAN PRODUCTIVITY. In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. Product managers at Perplexity work closely with design and engineering, focusing on the core Computer and search experience. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion in a particular industry that they are domain experts in: in the application please highlight which industry you are most interested in innovating. WHAT YOU'LL DO - Anticipate opportunities for innovation and value in enterprise industries. - Envision new experiences and deliver a long-term vision. - Understanding of levers for product-led growth and retention. - Work closely with engineering and design to align product expectations and capabilities. - Work with research to evaluate and steer nondeterministic models into the high value outcomes for users. - Work with data and user research to understand quantitative and qualitative data. - Have conviction to make difficult product decisions in the face of uncertainty. QUALIFICATIONS - Strong experience with product management and leadership. - Strong experience working with data and metrics. - Experience with productivity and knowledge work products. - Experience with prototyping and data visualization. - Experience with building data driven flywheels for iterative improvement. - Thrives in a small, agile team: has initiative and desire for ownership. - 4+ years of product management experience. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

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Product Manager, Fleet

Negotiable

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 We're looking for a Product Manager to own key parts of LangSmith Fleet, our product for bringing agents to every team in an organization. Building AI products is changing the way software teams work; LangSmith is the observability, evals and deployment platform that makes shipping reliable AI systems possible. Fleet enables anyone to build, use, and manage agents with natural language — while giving organizations the security, observability, model flexibility, admin controls, and API extensibility they need to deploy agents responsibly across the business. It sits at the intersection of developer platform, enterprise SaaS, and end-user productivity. WHAT YOU'LL DO You'll partner with engineers to build features that feel intuitive while solving deeply technical problems. - Own the roadmap for a core area of the Fleet. - Work with customers to understand their challenges and define new product features. - Work with engineering to define scope, make technical tradeoffs, and ship high-impact features quickly. - Help shape product strategy alongside our founders and leadership team. WHAT YOU'LL BRING - 3+ years of product management or engineering experience - Hands-on experience building with LLMs, agents, or AI applications. - Deeply technical — you can hold your own in conversations about API design, system architecture, data pipelines, and debugging production issues. - Bias toward action — you'd rather ship, learn, and iterate than build the perfect solution upfront. - Strong written and verbal communicator who can align cross-functional teams around a shared vision. NICE TO HAVE - Computer Science, Engineering, or equivalent technical background. - Previous experience at a high-growth startup or developer-focused company. - Annual salary range: $180,000-$215,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and

A

Product Management, Human Data Platform

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's Human Data Platform team builds systems designed to collect data that improves our models. This includes the infrastructure to simulate real-world environments and tasks, novel interfaces for data vendors to use, and the pipelines that enable researchers to gather high-quality data at scale. As Claude's real-world usage evolves, so do our data needs — and our tooling has to keep pace. You'll work alongside an engineering team that's quickly prototyping and shipping, help make smart bets about where to focus, and ensure we're investing in tooling that scales. You'll work across research teams, data ops, and external vendors, translating what you learn into clear direction on what to build next. Responsibilities - Own the product direction for our human data tooling, with clear prioritization across labeling interfaces, infrastructure investments, data quality, and operational visibility - Partner with engineering to scope and ship quickly, staying close to the work in a fast-moving prototyping environment - Develop a deep understanding of research and training approaches to identify where tooling investments will have the highest leverage - Identify patterns across one-off requests and push toward reusable infrastructure that compounds over time - Sit in on crowd worker and vendor sessions to systematically understand pain points - Define and track outcome-based KPIs: time-to-launch for new data collection projects, end-to-end data quality scores, and measurable impact on model evaluation scores Minimum Qualifications You May Be a Good Fit If You - Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well - Are drawn to ambiguous, high-stakes environments where you’ll play a big role in defining the product strategy - Shipped products where they had to deeply understand technical constraints, not just translate requirements - Experience working directly with research teams, ideally in AI/ML contexts - Are equally comfortable talking to crowdworkers about their workflow and to research teams about data quality methodology - Are a quick study—this team sits at the intersection of a large number of different complex technical systems that you'll need to understand (at a high level) to be effective - Have an interest in how humans interact with AI systems and how to design experiences that elicit high-quality data Preferred Qualifications Strong Candidates May Also Have - Experience building data collection tools, annotation platforms, or human-in-the-loop pipelines - Experience working with researchers who are internal users/customers - Good instincts and an eye for intuitive user experiences, particularl

E

Product Designer

Negotiable

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 The Design team at ElevenLabs is crafting experiences for the next generation of audio workflows using generative AI. You’ll work in entirely new and unexplored problem spaces, like crafting experiences around voice cloning that will allow people to generate content in realistic voices, languages, and accents, to create universally accessible content, safely. You’ll reimagine how creative teams craft sounds just by describing them, and how they bring it all together in one AI-first generative audio platform. The work here has the potential to revolutionize workflows for creators to media and entertainment, publishing giants, to defining entirely new spaces like conversational AI companies. You will work with our Engineering and AI Research teams to successfully communicate, evolve, and execute a strong product design standard that showcases ElevenLabs as an innovator in the generative AI audio space. You are a crucial component of our company’s growth and product launches through your contributions to short and long-term strategic direction, creating and maintaining high visual standards and a strong focus on user needs. You have an owner’s mentality, taking pride in your work and in your team’s work, and view what you do as a part-owner and builder of ElevenLabs. You'll work closely with Nev Flynn https://nevflynn.com/, Austin Malerba https://x.

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Product Manager, Safeguards Rare Harms

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI. The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks. We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity. You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments. Responsibilities: - Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers. - Ability to write safety evals and communicate externally about safety. - Drive impact via ruthless prioritization by clearly defining problems, solution options forward, clarity on both business & technical tradeoffs and accordingly clear requirements toward MVP vs. ideal state. - Align & collaborate with policy, enforcement, research, engineering and cross functional stakeholders. - Understand the AI landscape and ecosystem to plan for mitigation of deployment risks of increasingly powerful models and determined adversaries. - Lead the development of metrics to understand the area, performance, blindspots to help inform future project planning. Minimum Qualifications You may be a good fit if you have: - Ability to make technical tradeoff decisions; ideally with experience working across policy experts, AI/ML research engineers and software engineering teams to design and build state of the art safety systems. - Strong user understanding of how our products are used, their Safeguards concerns and how we provide the best solutions. - Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for a rapidly changing space. - Demonstrated experience in designing and building metrics to evaluate risks, system performance, user impact and making crisp tradeoffs - Very strong ability to navigate, and prioritize amidst rapidly changing product specs, and to flex into different domains to bring clarity and execute. - Evidence of exercising judgment and decision making in ambiguous situations.</l

A

Web Product Manager

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Web Product Manager to build and lead the strategy and roadmap for claude.com. As the first web product manager, you will develop and execute the vision that turns our websites into our strongest acquisition, conversion, and storytelling channels. You will work in a fast paced environment driving awareness, preference, and adoption for Claude across prosumer and enterprise audiences. We are looking for a strategic builder. As our first web product manager you should be comfortable shaping strategy and roadmap without an existing playbook, making data-informed prioritization calls, and influencing partners across marketing, design, and engineering. Key responsibilities - Own the web experience strategy for claude.com, setting the vision for how our marketing surfaces work together as a portfolio and ensuring each site performs against its audience and goals - Stand up the web experimentation program across claude.com. Raise the team's experimentation velocity and rigor over time by setting up hypotheses, prioritizing landing page creation, analysis, and rollout. - Drive conversion rate optimization across acquisition, signup, and checkout funnels, identifying the highest-leverage opportunities and partnering with Web Design and Growth Product to ship them - Establish our web analytics foundation with Data Science, ensuring we have the instrumentation, dashboards, and funnel reporting needed to make growth decisions quickly - Lead our international and localization strategy for the web, partnering with regional marketing and localization teams to ensure our surfaces perform in every market we serve - Partner with Growth Product, Data, and Enterprise Marketing to build the tooling, instrumentation, and funnel infrastructure that make web experimentation fast and measurable - Collaborate with SEO and paid channel owners on on-page requirements and landing page experiments - Coordinate inbound web requests from Product Marketing, Enterprise Marketing, Sales Ops, and other stakeholders, prioritizing against growth impact rather than request volume - Build a durable measurement story for the web, for example, what we're testing, what we've learned, and what it's worth to the business. Communicate it regularly to marketing and executive leadership. Minimum qualifications - Strong strategic thinking abilities, with the ability to translate Anthropic's business goals into a clear, prioritized web roadmap that aligns with broader marketing and product strategy - Track record of driving measurable business results through the web in competitive, fast-moving markets - A strong point of view on what makes the web a category-defining channel for a technology company - A track record of running experimentation programs that moved meaningful business metrics, with a clear ROI story rather than just a backlog of A/B tests - Setting strategy for localized web experiences and workflows across various regions and languages - Strong quantitative instincts and fluency with analytics tools, funnel modeling, and experimentat

A

Product Manager, Safeguards (Verticals)

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI. The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks. We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity. You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments. Responsibilities: - Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers. - Ability to write safety evals and communicate externally about safety. - Drive impact via ruthless prioritization by clearly defining problems, solution options forward, clarity on both business & technical tradeoffs and accordingly clear requirements toward MVP vs. ideal state. - Align & collaborate with policy, enforcement, research, engineering and cross functional stakeholders. - Understand the AI landscape and ecosystem to plan for mitigation of deployment risks of increasingly powerful models and determined adversaries. - Lead the development of metrics to understand the area, performance, blindspots to help inform future project planning. Minimum Qualifications You may be a good fit if you have: - Ability to make technical tradeoff decisions; ideally with experience working across policy experts, AI/ML research engineers and software engineering teams to design and build state of the art safety systems. - Strong user understanding of how our products are used, their Safeguards concerns and how we provide the best solutions. - Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for a rapidly changing space. - Demonstrated experience in designing and building metrics to evaluate risks, system performance, user impact and making crisp tradeoffs - Very strong ability to navigate, and prioritize amidst rapidly changing product specs, and to flex into different domains to bring clarity and execute. - Evidence of exercising judgment and decision making in ambiguous situations.</l

S

Product Manager of AI Applications, Global Public...

Negotiable

Scale is growing rapidly, and joining the Global Public Sector team is an opportunity to work on one of the most exciting and quickly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work with governments and government-backed entities outside of the United States. We develop bespoke solutions that leverage our customers’ proprietary data and expertise to transform their organizations with AI. We work with them to understand their pain points and workflows and then forward deploy our team to build cutting-edge solutions. The applications we build are powered by the Scale GenAI Platform, a full stack product to build, test and deploy frontier AI agents. - Developing custom AI applications - Building custom LLMs - Providing high-quality training data for research and government institutions building LLMs - Developing partnerships to foster regional talent growth and AI adoption We are looking for an entrepreneurial and experienced product leader to play a pivotal role in the ideation and development of transformative AI solutions. The ideal candidate has deep experience with AI/ML application development, can think strategically about how to solve a problem, is an excellent listener, is comfortable getting into the weeds operationally, and has a strong understanding of software engineering principles and practices. You will be responsible for owning large AI projects for one or many customers. You will lead a cross-functional team of engineers, MLEs, and operators to build a highly impactful solution for our customers that will drive millions in revenue for our business as well. Responsibilities: - Lead design workshops with the client to define custom AI solutions - Scope out new AI application use cases across various government entities - Lead cross-functional development of AI applications and custom LLMs with diverse stakeholders (Engineering + Ops + Go-to-Market) - Consistently engage with future end-users to solicit feedback and ensure we are prioritizing effectively - Stay up to date with latest research in applied AI and training custom LLMs - Scope out model evaluation sets and performance requirements, consistently review results, and iterate on the solution - Give regular progress updates to the client and Global Public Sector leadership Minimum Qualifications: - 4+ years of experience building products with specific experience within the last 1-2 years building AI-powered products - Strong technical background (STEM degree) and/or experience building technical software products - Strong understanding of generative AI technologies and their applications in both enterprise and consumer settings - Experience with vibe coding tools (i.e., Replit, Lovable, Bolt, etc.) and design tools (i.e., Figma/Canva/Miro) - Exceptional leadership, presentation and communication skills with the ability to influence cross-functional teams Nice to haves: - Coding experience (Python) - Proficiency in Arabic, both written and spoken For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency

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Product Manager, Claude Code Model Performance

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Product Manager on Claude Code's model performance team, you will drive model launches end-to-end, build evals that measure what matters, and partner directly with researchers and product engineers to translate model improvements into developer-facing outcomes. Claude Code is the most capable coding agent in the world but there’s much more we can do to extract the maximum performance from our models. We're looking for a PM who has personally built agentic evals, thinks in systems, uses Claude Code every day, and has refined model taste. You should be as comfortable influencing our research team as you are getting in the weeds of transcripts. You will be the connective tissue between frontier research and the millions of developers who depend on Claude Code to do their best work. Responsibilities - Own model launch planning and execution for Claude Code: define readiness criteria, coordinate across research and product engineering, and ensure launches land cleanly with developers - Design and implement agentic evals that measure real-world coding performance - Drive the engineering team's eval roadmap - Partner with researchers working on coding capabilities to define target behaviors and influence model development with evidence from real usage - Talk with users and analyze transcripts to understand capability gaps and turn research progress into shipped improvements - Synthesize signal from internal users, external developers, and competitive benchmarks into clear priorities You might be a good fit if you - Have personally built agentic evals (e.g. SWE-bench-style task suites) - Are a daily Claude Code user and can articulate what behaviors you’d want to change or add to the model - Have an engineering background and 2+ years in product management, or equivalent experience driving product direction as an engineer - Have a deep grasp of AI concepts and are comfortable going deep on model behavior, prompt engineering, and evaluation methodology - Are a systems thinker: when you find a problem, you build the infrastructure that prevents its whole class - Have launched products or capabilities in ambiguous, research-adjacent environments - Have a creative, hacker spirit and love solving puzzles San Francisco and Seattle only The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $460,000 USD Logistics <st

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Product Manager, Enterprise Core Platform

Negotiable

Role Summary Scale is building the agentic operating system that powers AI deployment across the world's most important organizations. The Platform PM is the person who determines what that foundation needs to be — and holds the bar on how well it gets built. This is not a roadmap PM, a program manager, or a feature tracker. The Platform PM owns the core infrastructure that every FD team builds on top of: defining the foundation before anything else can be built reliably, sequencing work against real customer commitments and FD team velocity, identifying which FD-built patterns are ready to graduate to core, and ensuring that every capability that ships does so at a bar customers can trust without thinking about it. The best Platform PMs have defined platform capabilities at production bar in high-stakes environments and understand the difference between what is necessary to build, what is interesting to build, and what should never be built at all. What You'll Do - Define the foundation. Determine what needs to be true at the core platform layer — across each capability pillar — before anything reliable can be built on top of it. - Sequence it. Prioritize and order platform work given customer commitments, FD team velocity needs, and what is actually blocking progress today. Getting this wrong means building on an unstable base or building the right things in the wrong order and paying for it in rework and FD team drag. - Identify patterns and graduate capabilities. Watch what FD teams are building across the application layer, determine what is genuinely repeating, and make the call on what moves to core — and when. Do not rush graduation or delay it out of caution. - Hold the quality bar. Every capability on the platform roadmap earns its place twice: once by being necessary, and again by being done well enough that customers trust it without thinking about it. Keep the platform from becoming a graveyard of half-built capabilities. - Unlock delivery team time to value. Forward deployed delivery teams should spend their time solving the hardest customer problems, not rebuilding plumbing on every engagement. That requires a platform that is secure by default, deployable anywhere, observable in production, and equipped with the agentic primitives, eval infrastructure, expert judgment capture, and data reasoning capabilities that every agent workload needs. - Partner across the organization. Work closely with platform engineering, forward deployed PMs, and BU leads to surface signal, resolve sequencing tradeoffs, and keep the roadmap grounded in what is actually blocking work. What We're Looking For Must-Have Qualifications - 6+ years in product management with meaningful time owning platform, infrastructure, or developer-facing products at production bar. - Demonstrated record of defining and shipping platform capabilities — not features on top of a platform someone else built. You can describe the architectural decisions you made, what production required, and what you learned. - Strong sequencing judgment: can prioritize across competing customer commitments and team velocity needs with incomplete information, without thrashing. - Technical fluency sufficient to hold real conversations with platform engineers about architectural tradeoffs across infra, auth, observability, deployment, and agent runtime. Not deep coding, but genuine comprehension of how production systems work. - Extreme ownership and follow-through: closes loops without reminder

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Product Manager, Enterprise

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Product Manager for Enterprise at Claude.ai , you will own the core enterprise platform capabilities that make Claude trustworthy and deployable for large organizations. You'll focus on security, compliance, administration, and governance features that enterprise customers require to adopt AI at scale. This role requires strong technical judgment, deep understanding of enterprise security and compliance frameworks, and the ability to translate complex requirements into elegant product experiences. You'll work closely with engineering, design, sales, and security teams to build the foundational enterprise capabilities that unlock Claude's adoption across regulated industries and security-conscious organizations. Key responsibilities Security & Compliance Product Development - Own the roadmap for enterprise security features including audit logging, data retention policies, and access controls - Drive compliance certifications and feature development (SOC 2, HIPAA, FedRAMP, GDPR) in partnership with security and legal teams - Develop and maintain enterprise admin experiences including user management, workspace controls, and policy enforcement - Build features that give IT and security teams visibility and control over Claude usage within their organizations Enterprise Platform Capabilities - Define and execute on core enterprise infrastructure including deployment options, data residency, and integration capabilities - Partner with engineering to build scalable, secure architecture that meets enterprise requirements - Develop APIs and integration points that enable enterprise workflows and system connectivity Cross-functional Partnership - Work closely with sales and customer success to understand enterprise customer requirements and translate them into product priorities - Partner with security team to ensure features meet enterprise security standards - Collaborate with legal and policy teams on compliance requirements and certifications - Coordinate with research teams on enterprise-specific model behavior and safety requirements Customer & Market Understanding - Build deep expertise in enterprise security, compliance, and procurement requirements - Develop relationships with enterprise customers to understand their needs and validate solutions - Stay current on competitive landscape and enterprise AI market trends Minimum qualifications - Strong understanding of enterprise security concepts (RBAC, audit logging, encryption, data residency) - Experience with compliance frameworks (SOC 2, HIPAA, GDPR) and certification processes - Track record of shipping en