Browse AI Jobs — Page 167

Community Engagement Lead - Ohio

$176,000 – $385,000

About the Team OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. The Industrial Compute team is central to this mission, setting the core infra strategy and implementing this vision. From site selection to the buildout process, this team sits at the intersection of commercial, technical, strategy, and operations, interacting with teams and executives inside and outside of OpenAI. About the Role The Community Engagement Lead will be the primary bridge between OpenAI and the communities in Ohio. This role ensures that OpenAI builds strong, trust-based relationships with local stakeholders, communicates proactively about our projects, and integrates community priorities into our development approach. The role spans engagement, communications, and reputation management, and will partner closely with the Economic Development and Environmental leads. Location: Portsmouth, Ohio or Southern Ohio Key Responsibilities - Build and maintain relationships with local leaders, community organizations, NGOs, and residents. - Develop and execute community engagement strategies for new and existing sites. - Represent OpenAI in public forums, hearings, and community events. - Partner with the Economic Development Lead on incentive compliance and community benefits. - Partner with the Environmental Lead on communicating environmental stewardship and sustainability efforts. - Develop proactive communications to address concerns, highlight benefits, and reduce risk of opposition. - Monitor community sentiment and advise executives on risks and opportunities. - Create a community engagement playbook that can scale across geographies. Qualifications - 8+ years in community affairs, public engagement, or corporate communications. - Proven track record engaging diverse community stakeholders for large infrastructure or technology projects. - Strong public speaking and facilitation skills. - Ability to manage sensitive political and reputational issues. - Experience integrating community benefits (workforce, education, infrastructure support) into development strategies. - Collaborative and adaptable, with experience working across government, community, and corporate teams. 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.

👤 HumanFull-timeRemoteSenior

By OpenAIAug 17, 2026

Strategic Partner Manager, Monetization Partnershi...

$266,000 – $370,000

About the team Platform Partnerships builds and grows the relationships that extend OpenAI products through the world’s most important technology platforms. The team works across Product, Engineering, Research, Go-to-Market, Legal, Finance, Marketing, Policy, and Operations to turn partner opportunities into durable product experiences and business outcomes. We are a small team working on opportunities that rarely arrive with a playbook. We set the strategy, make the tradeoffs, and stay close to execution through launch and scale. About the role We’re hiring a Strategic Partner Manager to own and drive the expansion of a portfolio of OpenAI’s most strategic platform partnerships. You will treat each partnership as a business: set the expansion thesis, align joint product roadmaps, structure commercial opportunities, and translate shared ambition into measurable adoption, usage, revenue, distribution, and product impact. This is a senior individual-contributor role with full-lifecycle ownership—from strategy and negotiation through integration, launch, performance, expansion, and renewal. It is a 0-to-1 builder role, not a coordination role. You will create clarity where the operating model is still emerging, make sound decisions with incomplete information, and step into the details required to move the work forward. The right person can move fluidly between a multi-year partnership strategy and the immediate product, commercial, or operating blocker in front of the team. You will build trusted relationships at the executive and working levels while representing OpenAI’s priorities with clarity and thoughtful pushback. What success looks like - Each priority partner has a clear expansion thesis, joint roadmap, governance model, and measurable outcomes. - High-priority product integrations and go-to-market initiatives launch with clear ownership, strong readiness, and fewer unresolved dependencies. - Partnerships show measurable growth across the outcomes that matter for the relationship, including adoption, usage, revenue, distribution, and product value. - Executives receive concise, decision-ready recommendations that make tradeoffs, risks, and next steps clear. - Partner and market feedback improves OpenAI’s product, ecosystem, and go-to-market strategy. - Successful approaches become repeatable playbooks for the broader platform-partnership portfolio. In this role, you will - Own a portfolio of strategic platform partnerships as businesses, setting direction, prioritizing opportunities, and driving outcomes aligned with OpenAI’s product and company goals. - Develop multi-year expansion strategies and joint business plans that connect product roadmaps, commercial opportunities, go-to-market motions, and measurable outcomes. - Lead the full partnership lifecycle: strategy, partner evaluation, commercial negotiation, technical and product integration, launch, performance management, expansion, and renewal. - Align Product, Engineering, Research, Go-to-Market, Legal, Finance, Marketing, Policy, and Operations around clear priorities, owners, dependencies, and decisions. - Build trusted executive and working-level relationships across both organizations, creating direct communication, shared accountability, and durable alignment. - Establish and run operating cadences, including roadmap reviews, business reviews, launch-readiness reviews, issue resolution, and escalation paths. - Translate partner needs, technical constraints, customer feedback, and market signals into product, ecosystem, and go-to-market recommendations. - Define success metrics and communicate progress, risks, tradeoffs, and opportunities through concise executive materials. - Resolve blockers and apply thoughtful pushback when partner requests conflict with OpenAI’s priorities or create unclear value. - Turn first-of-kind partnership work into simple, reusable playbooks and operating models that improve execution as the portfolio scales. You might thrive in this role if you - Have 12+ years of experience in strategic partnerships, product partnerships, business development, product strategy, or related technology roles. - Have a track record of building, launching, and expanding complex platform partnerships from 0 to 1 and through scale, with measurable commercial, adoption, distribution, or product outcomes. - Bring strong product and technical judgment and can work credibly with Product and Engineering on APIs, integrations, developer platforms, data flows, agents, or emerging products. - Have structured and negotiated complex commercial and technical agreements and can balance near-term outcomes with long-term strategic value. - Use data and sound judgment to define success, evaluate tradeoffs, and prioritize among competing opportunities. - Communicate clearly with executive, technical, commercial, and operational audiences, including through high-quality written plans and decision materials. - Build trust, resolve conflict, and manage expectations across functions and company boundaries without relying on formal authority. - Bring high agency, low ego, and exceptional follow-through; you are willing to do the detailed work required to move an outcome forward. - Can move between multi-year strategy and weekly execution in a fast-changing environment with incomplete information. Nice to have - Experience with AI, developer platforms, APIs, agents, marketplaces, or technology ecosystems. - Experience operating in both a scaled platform organization and a high-growth company. 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.

👤 HumanFull-timeSenior

By OpenAIAug 17, 2026

Detection and Response Engineer

Negotiable

ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We're looking for a Detection & Response Engineer to build the systems that help us identify, investigate, and respond to threats across our platform. This is an engineering role focused on automation. You'll build detections, investigation tooling, and response capabilities that scale with our infrastructure, using AI where it meaningfully improves signal, investigation speed, and operational effectiveness. You'll work closely with infrastructure, platform, and security engineers to ensure every incident makes the platform more resilient. WHAT YOU'LL WORK ON: DETECTION ENGINEERING - Design and build high-fidelity detections for attacks, abuse, and anomalous behavior across our infrastructure and production systems - Continuously improve detections based on telemetry, threat intelligence, and lessons learned from incidents - Improve visibility across cloud infrastructure, containers, identity systems, and production services INCIDENT RESPONSE - Lead or participate in investigations spanning production infrastructure, cloud environments, and internal systems - Build playbooks and automation that reduce investigation time and improve response consistency - Drive post-incident improvements that eliminate entire classes of future incidents SECURITY TOOLING & AUTOMATION - Build internal tooling that improves detection, investigation, and response workflows - Leverage LLMs to automate repetitive analysis, accelerate investigations, and surface actionable insights from security telemetry - Improve the collection, quality, and usability of security telemetry across the platform ENGINEERING PARTNERSHIP - Partner with engineering teams to ensure new systems are observable and secure by default - Help teams instrument services with the telemetry needed for effective detection and response - Drive security improvements that make the platform easier to defend over time WHAT WE'RE LOOKING FOR: - Experience in detection engineering, incident response, security engineering, or software engineering with a strong security focus - Strong software engineering skills with experience building production systems - Experience investigating security incidents in cloud-native or distributed environments - Familiarity with modern cloud infrastructure, Kubernetes, Linux, and networking - Experience building detections using logs, telemetry, behavioral signals, or large-scale event data - Strong SQL skills for investigating security events and developing detections - Interest in applying AI and LLMs to detection, investigation, and response, including understanding emerging threats involving AI-powered systems - Strong written and verbal communication skills PREFERRED QUALIFICATIONS: - Experience building AI- or LLM-powered security tooling - Experience with SIEM, SOAR, or EDR platforms - Experience with Kubernetes security or large-scale cloud infrastructure - Experience with threat hunting, malware analysis, or digital forensics - Experience contributing to security operations in a high-growth engineering organization

👤 HumanFull-timeMid

By ModalAug 17, 2026

Deployment Strategist - Switzerland - Global Expan...

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 As a Deployment Strategist, you'll work as part of a driven and creative team of Forward Deployed Engineers, Go to Market professionals, Product Engineers and other Strategists to deploy ElevenAgents, our enterprise AI platform, against the challenging problems our customers face. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the existing workflows are, what the product needs, what users are motivated by, and where the impact could be. No two days are the same, but as a Deployment Strategist you can expect to: - Meet with strategic customers to deeply understand their AI transformation goals and locate their biggest pain points, particularly around customer-facing and operational workflows powered by AI agents. - Own flagship deals end-to-end — from identifying the right use case to structuring commercial terms (including outcome-based pricing, license fees, and implementation arrangements) and driving them to close. - Embed yourself deeply inside strategic customers: act as a trusted partner with a provisioned account, spend meaningful time onsite, and own delivery outcomes as if you were part of their team. - Identify high-impact use cases through close engagement with customer problems and workflows, and collaborate with Forward Deployed Software Engineers to bring them to life. - Guide customers on best practices for deploying our products (e.g. ElevenAgents); including agent design, agent orchestration, production readiness to maximize adoption and impact. - Scope out potential applications in new industries and expand our AI solutions across different sectors globally. - Present the results of our work and proposals for future work to audiences ranging from technical teams to C-suite executives. - Collaborate with our Research teams to feed field insights back into ElevenLabs' platform and models, helping shape the roadmap. - Build and deliver compelling demos of ElevenAgents and our broader AI technology to new and existing customers. - Collaborate daily with customers' engineering and executive teams to ensure agents reach production and deliver measurable business outcomes. Requirements - 3+ years of experience working with customers in a technical capacity. Direct enterprise customer experience is preferred. - Experience in product development, delivery, and change management - Commercial instinct: comfort engaging in deal conversations, structuring value propositions, and navigating enterprise sales cycles alongside GTM partners. - Basic proficiency in Python and familiarity with API integration, sufficient to prototype, demo, and communicate credibly with engineering teams. - Excellent communication and problem-solving skills; particularly the ability to simplify complex technical concepts and structure clear logic in pursuit of optimal solutions. - A proven track record of taking ownership of complex, ambiguous projects and delivering results. - Adaptability to work across different customer environments, industries, and technical use cases. - Technical aptitude and familiarity with common LLM, tooling and AI agent frameworks. - Ability to creatively map enterprise use cases and workflows to AI systems Location This role is remote-first, so it can be executed from anywhere in Switzerland, with a preference of Zurich. Expect regular travel for customer onsites. Fluency in English and German and a deep understanding of the regional and cultural nuances is required. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

👤 HumanFull-timeMid

By ElevenLabsAug 17, 2026

Deployment Strategist - France - Global Expansion

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 As a Deployment Strategist, you'll work as part of a driven and creative team of Forward Deployed Engineers, Go to Market professionals, Product Engineers and other Strategists to deploy ElevenAgents, our enterprise AI platform, against the challenging problems our customers face. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the existing workflows are, what the product needs, what users are motivated by, and where the impact could be. No two days are the same, but as a Deployment Strategist you can expect to: - Meet with strategic customers to deeply understand their AI transformation goals and locate their biggest pain points, particularly around customer-facing and operational workflows powered by AI agents. - Own flagship deals end-to-end — from identifying the right use case to structuring commercial terms (including outcome-based pricing, license fees, and implementation arrangements) and driving them to close. - Embed yourself deeply inside strategic customers: act as a trusted partner with a provisioned account, spend meaningful time onsite, and own delivery outcomes as if you were part of their team. - Identify high-impact use cases through close engagement with customer problems and workflows, and collaborate with Forward Deployed Software Engineers to bring them to life. - Guide customers on best practices for deploying our products (e.g. ElevenAgents); including agent design, agent orchestration, production readiness to maximize adoption and impact. - Scope out potential applications in new industries and expand our AI solutions across different sectors globally. - Present the results of our work and proposals for future work to audiences ranging from technical teams to C-suite executives. - Collaborate with our Research teams to feed field insights back into ElevenLabs' platform and models, helping shape the roadmap. - Build and deliver compelling demos of ElevenAgents and our broader AI technology to new and existing customers. - Collaborate daily with customers' engineering and executive teams to ensure agents reach production and deliver measurable business outcomes. Requirements - 3+ years of experience working with customers in a technical capacity. Direct enterprise customer experience is preferred. - Experience in product development, delivery, and change management - Commercial instinct: comfort engaging in deal conversations, structuring value propositions, and navigating enterprise sales cycles alongside GTM partners. - Basic proficiency in Python and familiarity with API integration, sufficient to prototype, demo, and communicate credibly with engineering teams. - Excellent communication and problem-solving skills; particularly the ability to simplify complex technical concepts and structure clear logic in pursuit of optimal solutions. - A proven track record of taking ownership of complex, ambiguous projects and delivering results. - Adaptability to work across different customer environments, industries, and technical use cases. - Technical aptitude and familiarity with common LLM, tooling and AI agent frameworks. - Ability to creatively map enterprise use cases and workflows to AI systems Location This role is remote-first, so it can be executed from anywhere in France, with a preference of Paris. Expect regular travel for customer onsites. Fluency in English and French and a deep understanding of the regional and cultural nuances is required. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

👤 HumanFull-timeMid

By ElevenLabsAug 17, 2026

Deployment Strategist - Denmark - Global Expansion

Negotiable

Negotiable

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 Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: - Partner with account executives across Australia to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation - Serve as the primary technical advisor to enterprise customers across Australia throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success - Support customers building with both the Claude API and Claude for Work - Create and deliver compelling technical content tailored to different audiences across Australia. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives - Guide technical architecture decisions and help customers across Australia integrate Claude effectively into their existing technology stack - Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases - Identify common integration patterns and contribute insights back to our Product and Engineering teams - Travel occasionally to customer sites for workshops, technical deep dives, and relationship building - Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: - 8+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager - Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders - Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more - Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders - Experience designing scalable cloud architectures and integrating with enterprise systems - Comfortable with python - Familiarity with common LLM frameworks and tools or a background in machine learning or data science - Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - A love of teaching, mentoring, and helping others succeed - Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

👤 HumanFull-timeSenior

By AnthropicAug 17, 2026

Data Scientist, Cybersecurity

$263,000 – $515,000

About the Team OpenAI’s Agentic Data Science team helps shape how AI agents are built, deployed, and improved across our products. We partner with product, engineering, research, and security teams to define meaningful measures of success, understand how our systems behave in the real world, and translate evidence into better decisions. As AI agents become more capable, they can write and execute code, access sensitive systems, and complete increasingly complex tasks with greater autonomy. These capabilities create powerful opportunities to improve cybersecurity, but they also introduce risks that traditional security tools and processes were not designed to address. Meeting this moment requires new ways to measure security, evaluate defenses, and distinguish genuine risk reduction from friction that slows users down. About the Role We are looking for a senior data scientist to help define what effective cybersecurity looks like in the age of AI agents. You will work across OpenAI’s Security organization and cybersecurity product teams to measure emerging risks, improve internal security controls, and shape AI-powered security products. The problems are foundational: How do we know whether an agent’s security controls are effective? Which safeguards meaningfully reduce risk, and which create unnecessary friction? When an AI system identifies a potential vulnerability, how do we determine whether the finding is accurate, actionable, and ultimately resolved? How do we detect anomalous behavior or risky access when the systems themselves are changing rapidly? You will report into Data Science while partnering closely with Security, Cyber Product, Engineering, and Research. This is a high-ownership role for someone who can establish a new analytical discipline, operate across organizational boundaries, and turn ambiguous security challenges into measurable improvements. In This Role You Will - Define how we measure AI-agent security. Establish metrics and evaluation frameworks for security-control coverage, agent behavior, sensitive actions, access patterns, detection quality, and emerging risks. - Improve security controls without introducing unnecessary friction. Quantify the effectiveness and operational costs of safeguards, including false positives, blocked actions, escalations, approval delays, and recovery paths. Help teams make controls safer, more precise, and easier to use. - Build the data foundations for security decisions. Partner with engineering and data teams to improve instrumentation, connect fragmented telemetry, establish trusted datasets, and surface important coverage and data-quality gaps. - Strengthen detection and response. Identify meaningful signals of anomalous behavior, risky access, sensitive-data exposure, and other security-relevant activity. Evaluate whether interventions improve detection quality, response times, and real-world security outcomes. - Shape AI-powered cybersecurity products. Partner with product, engineering, and research teams to assess how effectively AI systems identify security issues, support developer and enterprise workflows, and create measurable customer value. - Develop evaluation systems for security findings. Define quality measures for findings, including accuracy, severity, actionability, duplication, resolution, and downstream impact. Connect model behavior and product changes to outcomes such as triage, remediation, and vulnerability reduction. - Understand the complete security workflow. Measure how users discover, investigate, validate, prioritize, and resolve security issues. Identify opportunities to improve activation, adoption, retention, and enterprise value across customer-facing cybersecurity products. - Design rigorous measurement and experimentation strategies. Evaluate new models, security controls, product features, and workflows through controlled experiments, staged rollouts, observational analyses, and other methods appropriate for high-stakes environments. - Translate analysis into security and product strategy. Identify the highest-value decisions, clarify tradeoffs, recommend where teams should invest, and communicate findings clearly to technical partners and senior leadership. - Help establish a new security data science capability. Build a focused roadmap, create durable operating rhythms across Data Science and Security, and help shape how this discipline grows over time. You Might Thrive in This Role If You Have - 5+ years of experience in data science, applied research, analytics, or a related quantitative field, with a track record of owning ambiguous, high-impact problems. - Experience in cybersecurity, trust and safety, fraud or abuse prevention, privacy, platform integrity, or another domain involving adversarial behavior and difficult-to-measure risks. - Strong proficiency in SQL and Python, including experience investigating complex datasets, working through incomplete instrumentation, and building reproducible analytical workflows. - Experience defining meaningful metrics and evaluation frameworks when ground truth is limited, outcomes are delayed, or important risks cannot be observed directly. - Strong judgment in experimentation, causal inference, observational analysis, and the practical limitations of different measurement approaches. - The ability to partner effectively with security engineers, product managers, software engineers, researchers, data engineers, and senior leaders. - A demonstrated ability to translate technical analysis into concrete improvements in products, systems, controls, or organizational priorities. - Comfort operating independently, defining a roadmap, and bringing structure to a domain without established processes or industry standards. You Could Be an Especially Great Fit If You Have - Experience with detection engineering, threat research, security operations, insider risk, identity and access management, or privacy-preserving security analytics. - Familiarity with AI agents, large language models, model evaluations, automated code review, or AI-powered cybersecurity products. - Experience evaluating security findings, vulnerability detection, remediation workflows, or developer-facing security tools. - Experience balancing security effectiveness against user experience, including false positives, approval flows, operational burden, and recovery behavior. - Experience building automated monitoring, anomaly detection, production-oriented data assets, or systems that connect model outputs to real-world outcomes. - A track record of building new cross-functional measurement programs or establishing analytical capabilities from the ground up. 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.

👤 HumanFull-timeRemoteSenior

By OpenAIAug 17, 2026

Technical Product Manager - AI

Negotiable

Scopely is looking for a Technical Product Manager - AI t o join our Gen AI team in Bangalore! At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. Role Summary: Scopely is seeking a strategic and execution-focused Technical Product Manager (AI Solutions) to lead the development, adoption, and scaling of AI-powered products and solutions that serve a wide range of internal stakeholders across multiple business units. The role is focused on identifying, building, and scaling AI-driven tools and platforms that improve efficiency, unlock new capabilities, and drive measurable business impact across the organization. Reporting to the Director of AI, this role requires strong collaboration with engineering, design, production, and business stakeholders across Scopely's global studios, as well as close alignment with Scopely's broader data and platform teams. What You'll Do: 1.Product Strategy & Ownership - Own the Product Lifecycle: Own the end-to-end product lifecycle for AI solutions, from ideation to launch, adoption, and iteration. - Define Vision & Roadmap: Define product vision, strategy, and roadmap aligned with company objectives and senior stakeholders. - Identify High-Impact Opportunities: Work with stakeholders to identify high-impact opportunities for AI across business units and translate them into product initiatives. - Co-Own Prioritization: Co-own roadmap and prioritization decisions in collaboration with the Director of AI and Scopely's CTO, balancing short-term delivery with long-term platform thinking. 2.Adoption & Impact Delivery - Drive Adoption: Lead adoption of AI solutions across internal stakeholders and business units. - Define Success Metrics: Align closely with stakeholders to define success metrics, expected outcomes, and measurable impact per initiative. - Track and Report: Track and report on product performance, usage, and business outcomes, ensuring solutions deliver tangible efficiency gains, capability uplift, or revenue impact. 3.Cross-Functional Collaboration - Bridge Technical & Business Teams: Partner with engineering, design, and business stakeholders to define requirements and deliver solutions, acting as the bridge between technical teams and non-technical stakeholders. - Translate Needs into Architecture: Work closely with the GenAI Agentic Engineering Team to translate business and stakeholder needs into technical architecture and product plans. - Align Across Scopely: Collaborate with other Scopely teams across regions and studios to align on best practices and leverage existing platforms and solutions. 4.Delivery & Execution - Manage Delivery: Collaborate with Project Management and Lead Engineers to ensure proper backlog prioritization, product specifications, and release planning. - Drive Agile Process: Drive agile development processes and ensure timely, high-quality delivery. - Iterate on Feedback: Monitor adoption, performance, and user feedback to continuously improve products. 5.AI Solutions Development - Build Across the Business: Lead development of AI-enabled tools that support internal workflows across multiple business units, including production, operations, marketing, HR, business development, customer support, and finance. - Ensure Scalability: Ensure solutions are scalable, usable, and aligned with real business needs. - Practice Responsible AI: Support responsible AI practices, including governance, transparency, security, and appropriate use. 6.Stakeholder & Change Management - Drive Alignment: Engage stakeholders across multiple functions to drive alignment and adoption. - Communicate Clearly: Communicate product vision, updates, and outcomes clearly to leadership and teams. - Challenge & Recommend: Challenge assumptions and provide structured, well-reasoned recommendations. What We're Looking For: - 5+ years of experience in product management or related roles - Proven experience owning the product lifecycle from concept to delivery - Experience working with cross-functional teams in a fast-paced environment - Strong understanding of AI, data-driven products, and platform-based solutions - Excellent communication and stakeholder management skills - Strong problem-solving and structured thinking ability - Experience in gaming, tech, and/or digital product environments - Exposure to AI/ML concepts and tools - Experience working across multiple business functions At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure! About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

👤 HumanFull-timeSenior

By ScopelyMar 13, 2026

Senior AI Engineer_FLAMED

Negotiable

Scopely is looking for a talented Senior AI Engineer to join Forge , our Creative Technology & AI team within Flamed, in our Barcelona office on a hybrid basis. At Scopely, we care deeply about what we do and want to inspire play, every day—whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers developing, publishing, and innovating the mobile games industry, connecting millions of people around the world every day. We are the in-house creative agency, Flamed, an International multidisciplinary team. We build thousands of creatives every year to support all Scopely games Marketing needs worldwide. What You'll Do Forge is shaping the future of creative production. We combine AI, engineering, automation, and creative technology to build the platforms, products, and workflows that empower every creative team to move faster, experiment more, and scale creativity across Scopely. As a Senior AI Engineer , you'll play a key role in building those capabilities. You'll own the end-to-end delivery of AI-powered products and services, working closely with engineers, creative technologists, designers, producers, and artists to turn ambitious ideas into production-ready solutions that have a measurable impact across multiple game teams. - Own AI products and services throughout their full lifecycle, from discovery and implementation to deployment, monitoring and continuous improvement. - Build production-ready AI applications leveraging LLMs, agents, automation frameworks and modern cloud technologies. - Prototype rapidly to validate ideas with users, then evolve successful experiments into scalable, maintainable solutions. - Partner closely with Creative, Production and Engineering teams to understand workflows and translate them into practical AI solutions. - Drive technical decisions within the team's architecture and engineering standards. - Participate in design reviews, helping shape technical decisions through thoughtful proposals and engineering trade-offs. - Ensure solutions are reliable, observable, secure and maintainable by following best practices around testing, versioning, permissions and monitoring. - Contribute to a collaborative engineering culture by sharing knowledge, improving standards and helping evolve the team's technical practices. What We're Looking For - 7+ years of software engineering experience delivering production systems. - Strong hands-on engineering skills with experience shipping products end-to-end. - Experience building AI-powered applications using LLMs, AI agents, orchestration frameworks or automation platforms. - Strong understanding of software architecture, APIs, cloud services and modern development practices. - Comfortable moving quickly through ambiguity while maintaining a high engineering bar. - Excellent communication skills with the ability to collaborate effectively across technical and non-technical teams. - Pragmatic mindset focused on solving real user problems and delivering business impact. - Passion for applying AI to improve workflows, creativity and operational efficiency. Nice to Have - Experience building internal platforms or developer tools. - Experience working with multimodal AI, computer vision or generative media technologies. - Familiarity with MLOps, evaluation pipelines and AI observability. - Experience supporting creative production, gaming, content pipelines or digital asset workflows. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

👤 HumanFull-timeSenior

By ScopelyAug 4, 2026

AI Artist (Generalist)

Negotiable

Scopely is looking for an AI Artist (Generalist) to join our Bingo Bash team in Bangalore on a Hybrid basis! At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. The Bingo Bash team is home to bingo, cards, slots and more! Here you will work on a top-grossing F2P game with significant and growing daily revenues, and help create fresh content for our players. What You’ll Do: This role is ideal for an artist passionate about leveraging AI to enhance creativity while maintaining high-quality, hand-crafted aesthetics. This role involves training AI models, creating game assets and integrating AI-generated content into production pipelines. You will work closely with Artists and Tech Artists to explore, iterate, and refine visual styles while leveraging AI-powered tools. - AI Art Model Training & Refinement: Train and fine-tune AI art models to generate high-quality, stylized outputs that align with the project's artistic vision - AI-Driven Content Generation Support: Utilize Stable Diffusion, Flux, and proprietary or licensed interfaces to generate and enhance visual assets - Collaboration & Iteration: Partner with Leadership, Art teams, Tech Art teams, and Production teams to ensure AI-generated assets align with project objectives - Documentation & Communication: Maintain clear documentation, share feedback with internal and external Artists, and contribute to process improvements - Research & Innovation: Stay informed about AI-art advancements and explore new workflows to enhance creative development What We’re Looking For: - 2+ years of experience in AI art and 2D art within the game industry - Strong portfolio demonstrating art fundamentals (composition, color, style consistency) - Practical experience with generative art tools (Stable Diffusion, ComfyUI, A1111, or equivalents) - Proficiency with tools such as Photoshop, Illustrator (Blender is a plus) - Understanding of game asset pipelines and optimization for mobile - Familiarity with dataset curation, tagging, and model training workflows - Collaborative mindset with clear communication skills - Strong attention to detail and ability to maintain brand/style fidelity - Curiosity and adaptability to experiment with new creative workflows Bonus: - Exposure to 3D modeling tools (Blender, ZBrush) - Basic knowledge of 3D modeling or animation. - Experience in mobile game development. - Familiarity with Jira and Clickup workflows. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

👤 HumanFull-timeMid

By ScopelyAug 6, 2026

Principal Software Engineer - DevOps / Site Reliab...

Negotiable

Riot Games was established in 2006 by entrepreneurial gamers who believe that player-focused game development can result in great games. In 2009, Riot released its debut title League of Legends to critical and player acclaim. As the most played PC game in the world, over 100 million play every month. Players form the foundation of our community and it’s for them that we continue to evolve and improve the League of Legends experience. We’re looking for humble but ambitious, razor-sharp professionals who can teach us a thing or two. We promise to return the favor. Like us, you take play seriously; you’re passionate about games. We embrace those who see things differently, aren’t afraid to experiment, and who have a healthy disregard for constraints. That's where you come in. The AI Efficiency team at Riot Games builds the platforms, tools, and technical foundations that help Rioters safely and effectively use AI to accelerate how we work. As these systems become increasingly important to creative, product, and development workflows across Riot, we need dedicated engineering leadership to ensure these systems remain stable, scalable, secure, and dependable in production. As a Principal DevOps / Site Reliability Enginee r on the AI Efficiency team, you will own and evolve the operational foundations that allow the AI Efficiency team’s tech platform and the tools deployed within it to run reliably at growing scale. You will establish the systems, standards, automation, and support practices required to move quickly without compromising availability, deployment safety, maintainability, or user trust. You will partner closely with software engineers, ML platform engineers, technical artists, data scientists, and Riot’s infrastructure and security teams to improve developer experience, production readiness, observability, incident response, capacity planning, and service resilience. You will also help evaluate and operationalize AI-native engineering workflows such as agent-assisted code review, automated bug triage, AI-driven performance and security analysis, and browser-based UI validation. This role ensures the broader platform and its services are safely operated, supported, and continuously improved in production. You’re right for this role if you enjoy making complex systems reliable, reducing operational toil, improving how engineers build and ship software, and anticipating how systems will fail before those failures affect users. You are comfortable taking ownership of production health, leading through incidents, building sustainable operational practices, and creating paved roads that help teams move quickly and safely. You are also energized by the opportunity to responsibly bring new AI-native automation patterns into real engineering workflows, thoughtfully applying emerging capabilities to reduce friction, improve reliability, and enhance how engineers interact with production systems without compromising safety or control. Responsibilities: - Own and continuously improve the reliability, availability, scalability, performance, and operational health of the Efficiency team’s (web) platform and the tools deployed within it - Design, build, and maintain the infrastructure, deployment systems, and operational foundations required to support a growing portfolio of production AI services and internal tools - Improve CI/CD pipelines, release engineering practices, environment management, and deployment automation so software can be shipped safely, quickly, and consistently - Establish production-readiness standards and ensure new utilities have appropriate monitoring, alerting, ownership, documentation, rollback strategies, and support plans before launch - Define and operationalize service health indicators, SLIs, SLOs, error budgets, and reliability metrics that guide engineering priorities and tradeoffs between reliability, velocity, cost, and complexity - Build comprehensive observability across applications, infrastructure, service dependencies, and user workflows using metrics, logs, traces, dashboards, synthetic monitoring, and actionable alerts - Establish sustainable incident-management and on-call practices, including escalation paths, runbooks, severity definitions, communication protocols, and clear service ownership - Lead or contribute to the diagnosis and resolution of production incidents, coordinating across teams and driving blameless post-incident reviews and durable corrective actions - Build automation that reduces operational toil, improves mean time to detect and recover, and eliminates recurring sources of failure or manual intervention - Implement safe deployment patterns such as automated validation, progressive delivery, canary releases, feature flags, health checks, rollback mechanisms, and controlled environment promotion - Perform capacity planning, load testing, performance analysis, and resource forecasting to ensure the Toolkit can support increasing adoption and usage across Riot - Design and validate resilience, backup, recovery, failover, and disaster-recovery strategies for critical services, data, configurations, and infrastructure - Identify single points of failure and systemic risks across applications, cloud infrastructure, networking, databases, queues, caches, third-party dependencies, and operational workflows - Improve developer experience by building self-service workflows, reusable infrastructure components, local development environments, test environments, deployment tooling, and clear operational documentation - Establish and maintain infrastructure-as-code, configuration-management, secrets-management, and environment-governance practices that make infrastructure changes safe, repeatable, and auditable - Partner with engineers throughout the software development lifecycle to embed reliability, operability, security, and maintainability into system design rather than addressing them only after launch - Troubleshoot complex production issues across web applications, APIs, distributed services, containerized workloads, cloud infrastructure, network boundaries, authentication systems, and external service dependencies - Partner with ML Platform Engineers to ensure model-serving and inference systems integrate cleanly with the team’s broader observability, deployment, incident-management, and reliability standards - Collaborate with Riot infrastructure, information security, IT, developer-platform, and compliance teams to ensure the team follows appropriate operational and security requirements - Evaluate and implement AI-assisted operational workflows such as automated anomaly investigation, log analysis, remediation recommendations, regression detection, and runbook automation - Define guardrails, approval requirements, auditability, and escalation paths for agentic or automated operational systems that can interact with production environments - Champion operational excellence through technical leadership, mentoring, documentation, standards, architecture reviews, and tooling that raise the reliability bar across the team Required Qualifications: - Bachelor’s degree in Computer Science or a related field, or equivalent professional experience - 5+ years of experience in Site Reliability Engineering, DevOps, Infrastructure Engineering, Platform Engineering, Production Engineering, Developer Experience, or a similar role supporting production systems - Strong programming and automation skills in one or more languages such as Python, Go, JavaScript, or TypeScript - Experience designing, operating, and improving cloud-based production systems in AWS, GCP, Azure, or comparable environments - Experience building and maintaining CI/CD pipelines, release systems, deployment automation, and environment-management workflows - Strong understanding of observability practices, including metrics, logging, distributed tracing, dashboards, synthetic monitoring, and alert design - Experience participating in or leading incident response, on-call support, root-cause analysis, and post-incident improvement work - Experience improving the reliability, availability, scalability, and performance of distributed systems, service-oriented architectures, APIs, or web platforms - Strong understanding of containerized environments and orchestration technologies such as ECS, Docker, Kubernetes, or comparable systems - Experience with infrastructure-as-code and configuration-management tools such as Terraform, Pulumi, CloudFormation, or similar technologies - Working knowledge of Linux systems, networking, DNS, load balancing, service discovery, authentication, secrets management, and cloud security fundamentals - Ability to identify systemic operational risks and drive durable improvements across systems owned by multiple engineers or teams - Ability to collaborate across organizational boundaries, influence technical direction, and communicate clearly during both planned work and high-pressure incidents - Experience providing technical leadership, mentoring engineers, and establishing engineering standards across a team or organization Desired Qualifications: - Experience supporting AI/ML platforms, inference services, model-serving systems, GPU-backed workloads, data pipelines, or other compute-intensive services - Experience defining and using SLOs, error budgets, and reliability metrics to guide prioritization and engineering decisions - Experience designing or improving internal developer platforms, self-service infrastructure, paved roads, golden paths, or shared engineering services - Experience building sustainable on-call rotations and operational support models for services used by multiple teams - Experience with progressive delivery, canary deployments, blue-green deployments, feature-flag systems, and automated rollback strategies - Experience with performance testing, capacity modeling, chaos engineering, fault injection, resilience testing, or failure-mode analysis - Experience designing backup, disaster-recovery, business-continuity, and regional failover strategies - Experience operating databases, caches, message queues, object storage, service meshes, API gateways, and other common distributed-system components - Experience improving security posture through access controls, secrets management, dependency management, vulnerability remediation, network segmentation, and infrastructure hardening - Experience balancing availability, latency, engineering velocity, infrastructure efficiency, and cost in systems operating at scale - Familiarity with browser automation and end-to-end testing frameworks such as Playwright for validating critical user workflows and detecting production regressions - Experience evaluating or integrating AI-assisted tools for incident investigation, anomaly detection, operational diagnostics, code review, test generation, or automated remediation - Familiarity with the risks and operational controls required when AI agents interact with source control, CI/CD pipelines, cloud infrastructure, or production systems - Experience establishing governance, approval workflows, audit trails, and quality controls for automated operational systems - Experience working in environments where experimental tools must be transitioned into reliable, supported, and maintainable production services For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position! Our Perks: - Full relocation support - Comprehensive health insurance for you, your spouse, and children - Open paid time off - Retirement benefits with company matching - Life insurance, parental leave, plus short-term and long-term disability - Play Fund so you can deepen your knowledge of our players and community through games - We’ll double down on your donations of time and money to non-profits

👤 HumanFull-timeExpert / Staff+

By Riot GamesAug 12, 2026

Senior Machine Learning Engineer

Negotiable

At 2K, we create some of the most iconic and culture-shaping video games in entertainment, including NBA® 2K , one of the top-selling franchises in the world, and legendary titles like BioShock® , Borderlands® , Mafia , Sid Meier’s Civilization ® , and XCOM® , as well as fan favorites WWE® 2K , TopSpin® , and PGA TOUR® 2K . We build unforgettable experiences by pushing the boundaries of creativity, authenticity and innovation across every genre. Our portfolio is brought to life by some of the most influential game development studios in the world. Visual Concepts, Firaxis Games, Hangar 13, Cat Daddy Games, 31st Union, Cloud Chamber, Gearbox, HB Studios, and 2K SportsLab create world-class experiences across platforms. But what truly powers 2K is our people. We believe the best ideas come from teams that feel empowered, supported, and inspired. As an equal opportunity employer, we are committed to fostering a diverse, inclusive workplace where people are encouraged to come as they are and do their best work. What We Need You are an exceptional software engineer with a strong track record of deploying and operating ML models in production, particularly as low-latency, high-availability prediction services. You can deploy ML models as real-time, near-real-time, or batch services depending on the requirements of the use case. You bring deep, hands-on machine learning experience with a working command of ML algorithm types and tasks, the end-to-end ML lifecycle, and modern modeling and serving frameworks. You operate with autonomy and judgment. You're a solution-oriented, creative problem solver and a self-starter who drives initiatives end-to-end: scoping ambiguous problems, making sound architectural choices across multi-component systems, and shipping to deadline. As a senior engineer, you raise the bar around you by setting technical direction, mentoring others, and championing engineering standards across the team and wider ML community. What You Will Do - Partner with ML scientists, data engineers, central tech, and game studios to deploy ML models as production-grade decision services and integrate them into larger systems and live products. - Own and mature Machine Learning Ops practice: CI/CD for models, model registry and feature stores, real-time inference at scale, monitoring, drift detection, and reproducibility. Advocate for engineering best practices across the community. - Design and rapidly prototype ML-powered products for applications including recommenders, matchmaking, cheat/toxicity intervention, and economy balancing. - Work closely with studio devs and central tech to plan and execute the integration of ML applications into games on launch timelines. - Identify, evaluate, and pilot opportunities to apply GenAI/LLM to enable new use cases, and translate promising concepts into secure, scalable, and measurable solutions. What Will Make You A Great Fit - Bachelor's degree in Computer Science, Computer/Electrical Engineering, or a related STEM field and 4+ years in software development/engineering, including substantial experience deploying ML in production, or Master's degree with 2-4 years of relevant experience. - Strong programming skills, proficient in Python. Familiarity with a high-performance systems language (C, C++, Java, Rust, …) is a plus. Comfortable across object-oriented and functional paradigms, and quick to pick up new languages as needed. - Solid grounding in common ML tasks (supervised and unsupervised; reinforcement learning a plus) and commonly used algorithms across traditional ML and deep learning, with the ability to learn new approaches quickly. - Hands-on with modern ML frameworks such asPyTorch, TensorFlow, scikit-learn, or Spark ML. - Production experience with cloud infrastructure (AWS, GCP, or Azure), containers and orchestration (e.g. Kubernetes), serverless, and microservice architecture. - Hands-on with MLOps and CI/CD tooling including model registries, feature stores, pipeline orchestration (e.g. Airflow, Kubeflow, or MLflow), and automated training, deployment, and monitoring. - Experience with modern data technologies such as relational and NoSQL databases, and lakehouse/big-data tooling such as Apache Spark or Databricks/Delta. - Flexibility to start and end late to offer a couple of hours overlap with our US HQ (core hours approximately 10:00–18:30 local) to enable close collaboration. Nice To Have - Experience with recommender systems, search algorithms, matchmaking, or reinforcement learning technologies. - Experience with infrastructure-as-code and infrastructure automation tools, such as Terraform, or AWS CloudFormation. - Experience with managed ML platforms such as Amazon SageMaker or Databricks. - Familiarity with stream processing tools such as Apache Kafka, Kinesis, or Spark Streaming. - Familiarity with GenAI and LLM application patterns and technologies, including RAG, evaluation and guardrails, agentic workflows, or vector databases. - Major game engines such as Unreal or Unity. As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation. Please note that 2K Games and its studios never uses instant messaging apps or personal email accounts to contact prospective employees or conduct interviews and when emailing, only use 2K.com accounts. LI-Hybrid

👤 HumanFull-timeSenior

By 2KAug 13, 2026

AI Game Developer (Designer, Artist, Or Engineer)

Negotiable

Get excited to join Scopely’s AI-native incubation team, which is focused on discovering the next generation of mobile games. This role can be remote in the US or hybrid in Culver City, LA. Rather than spending years developing a single title, we believe one of the most effective ways to find great games is to rapidly transform ideas into playable experiences, launch them to real players, and learn from live market feedback. We’re pioneering a new approach to game creation—one in which AI enables creators to work across traditional discipline boundaries, take greater ownership of ideas from concept through launch, and bring more great games to players. What You’ll Do If you’re passionate for rapid experimentation, enjoy navigating ambiguity, and love bringing ideas to life, you’ll feel at home on this team. We don’t organize our work strictly around traditional disciplines. We believe AI enables skilled creators to contribute to more of the game development process than ever before. Whether your background is in engineering, design, art, or another discipline, we’re looking for people who are excited to work across boundaries, develop new skills, and use AI to turn ideas into playable games. As an AI Game Developer, you’ll: - Own game ideas from concept through launch, helping to generate concepts and shape mechanics, player experiences, and creative direction. - Rapidly transform concepts into playable prototypes using AI-native workflows, modern game engines, and development tools. - Use AI to accelerate programming, design, art, content creation, testing, and production. - Design internal tools, automations, and agentic workflows that increase team velocity and unlock new creative possibilities. - Evaluate emerging AI technologies and experiment with new applications in game development. - Collaborate across disciplines to rapidly iterate on gameplay, features, and player experiences. - Launch prototypes to real players, analyze qualitative and quantitative feedback, and use those insights to guide future iterations. - Balance speed and quality by making thoughtful trade-offs that maximize learning. - Help define AI development practices that can scale across Scopely. - Challenge traditional game development workflows and help pioneer new approaches to creating games. What We’re Looking For - Strong expertise in at least one game development discipline, such as engineering, game design, art, technical art, or UX. - Enthusiasm for using AI to expand beyond your primary discipline and broaden your capabilities as a game creator. - Experience incorporating AI into creative or development workflows. - A preference for building, testing, and learning rather than relying on lengthy planning cycles. - Curiosity and adaptability, with an interest in learning new tools and techniques as the AI landscape evolves. - Strong product instincts and an understanding of what makes games engaging. - The ability to work effectively through ambiguity, rapid iteration, and changes in direction informed by player feedback. - Excellent communication skills and a collaborative mindset. For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience. CA, CO, NJ, NY, and WA Annual Salary Range $169,600 - $253,000 USD About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

👤 HumanFull-timeMid

By ScopelyAug 6, 2026

Senior Technical Director, Release Management & Au...

Negotiable

Scopely is looking for a Senior Technical Director, Release Management & Automation (AI) to join the Central team. This role is located in our Barcelona office with a hybrid working policy. This is a senior, high-impact leadership role on Central Studio Operations (CSO)—the team that partners directly with Scopely’s highest-revenue live products and our most ambitious cross-platform titles in development. You’ll operate at the intersection of operational excellence, deep technical strategy, and organization-wide influence. Leading a team of managers and senior individual contributors, you will define the standards and “paved roads” that multiple game and central teams adopt by default—earning alignment through strong partnerships with studio leadership. Your mandate is clear: deliver measurable step-change improvements in release quality, delivery velocity, development of internal CSO solutions, and operational resilience at scale. What you will do - Own the vision of CSO RM capabilities through the definition and execution of a roadmap that elevates how game teams reduce time-to-submission for cross-platform offers and submissions. - Own the vision of CSO Automation capabilities through the definition and execution of a roadmap that elevates how CSO Programs enable game teams success. - Define and lead Scopely-wide standards for release readiness, risk management, and go/no-go criteria across multiple titles. - Build lightweight, repeatable governance that improves predictability without slowing teams down. - Establish and execute a development roadmap for central software solutions to address CSO needs - Partner with game TDs, D2C, and Publishing to create an industry-leading roadmap for the RM with solutions that simplify and accelerate offers submissions. - Partner with CSO Programs leaders to define and develop internal central solutions to enable program CSO efficiency. - Own the RM and Automation rituals & processes for the team, including backlog prioritization, roadmap definition, product specs, communication, and feedback collection. - Establish operational metrics and drive continuous improvement. - Build learning loops (postmortems, action tracking, preventative controls). - Lead a team of leaders to effectively partner with a diverse, geographically-distributed set of stakeholders. What you will need - Experience with game development, preferably with Unity. - Experience in RM across mobile, PC, and Console. - Lead and mentor managers and senior engineers across release engineering, and automation disciplines. - Align stakeholders across Production, Engineering, QA, LiveOps, Security, and Data to deliver shared outcomes. - Communicate roadmap, status, and impact with clarity to both technical and non-technical leadership. - Experience owning, driving, and operating a product strategy and roadmap. - Excellent communication skills, both written and oral. - Passion for continuous learning in a fast-paced, highly collaborative environment. Qualifications - Experience in engineering leadership roles, including years managing managers (or leading multi-team orgs). - Experience in building or leading release engineering, developer productivity, or automation programs at scale. - Experience in leading engineering development to create solutions . - Strong technical background in modern delivery practices. Demonstrated experience implementing automation and governance in complex, multi-team environments. - Track record of influencing senior stakeholders and driving adoption across decentralized organizations. - Experience applying AI/ML-assisted approaches in engineering workflows (or strong demonstrated ability to lead this transformation with partners). Bonus Points - Experience with live-service games or high-availability consumer platforms. - Expertise in progressive delivery (feature flags, canaries, blue/green) and release safety tooling. - Experience with compliance, security, and privacy requirements in deployment pipelines. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

👤 HumanFull-timeExpert / Staff+

By ScopelyAug 13, 2026

Senior / Staff Product Engineer, AI

Negotiable

Negotiable

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Accounting Team is responsible for understanding and telling Stripe’s financial story and shaping our collective understanding of how Stripe is performing as a business. Our primary focus is maintaining a well-controlled environment that effectively supports corporate governance, financial reporting and disclosure requirements. We advise and enable Stripe to grow – supporting all products at Stripe, consulting on accounting implications and supporting teams’ ability to make informed strategic decisions. We operate in a fast-paced environment and collaborate significantly with cross-functional and international teams. What you’ll do Our Accounting team is seeking an innovative embedded technical resource to help us scale for the future, in a fast-paced environment that’s growing rapidly. You’ll leverage your accounting, artificial intelligence (AI), and technical expertise to build intelligent solutions that enhance Stripe’s accounting capabilities. You’ll develop AI-powered tools and models, autonomous agents, and data products that automate complex workflows and provide actionable insights within a framework of financial reporting control. Working at the intersection of artificial intelligence, accounting, and product development, you'll collaborate with engineering and finance teams to deploy cutting-edge AI applications that scale with Stripe's growth and support our mission of increasing the GDP of the internet. Responsibilities - Apply your accounting and finance domain expertise to identify, explore, and prototype high-impact opportunities where AI can solve complex accounting challenges - Build using AI-powered tools and artificial intelligence solutions to automate accounting workflows, enhance controllership, and scale our operations - Design and deploy autonomous AI agents using frameworks that can reason, plan, and execute complex multi-step problems and enhance decision-making processes through understanding risk and maintaining effective financial reporting controls. - Ship and maintain interactive data products and self-service analytics tools using SQL and Python frameworks (data visualization and dashboards, low-code application building frameworks) that provide real-time insights and actionable intelligence - Work across Accounting and partner teams to uncover efficiency opportunities, including AI use cases, document requirements, and translate complex financial workflows into well controlled technical solutions - Partner with Accounting and SOX teams to assess and develop an effective internal controls approach to AI-based accounting solutions Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - 10+ years of relevant experience, with at least 4+ years of experience in accounting related or adjacent roles (e.g. finance systems, process improvement) - B.A. or B.S degree in Accounting, Finance, Finance Systems or Information Systems - Fluency in U.S. GAAP - Advanced proficiency in SQL, including writing complex queries, using CTEs (common table expressions), window functions, and joins for data analysis and pipeline logic - Familiarity with modern data tools (Python, Databricks, ETL/ELT processes, data pipelines) and coding with AI assistance - Comprehensive understanding of AI fundamentals and experience with emerging AI/LLM tools, conversational interfaces, prompt engineering, or automation platforms and RPA - Solution and results-oriented, with a focus on delivering impact in a fast-paced environment - Excellent communication and organizational skills, both written and verbal, with the ability to convey financial concepts to both financial and non-financial audiences - Experience with internal controls (design, implementation and execution) Preferred qualifications - Familiarity with the payments industry and fintech landscape

👤 HumanFull-timeSenior

By StripeAug 3, 2026

Staff Software Engineer, Product Risk

Negotiable

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Product and Risk Data Engineering is Stripe's single source of truth data engineering layer for Payments, Risk, and Product — we enable Stripe to confidently run, measure, and grow the business by making accurate information easy to access. We curate and maintain high-quality data warehouses and pipelines that serve as the authoritative foundation for product and financial activity across Stripe, powering analytics, ML capabilities, agentic workflows, and merchant-facing data interfaces. Beyond building data, we act as the internal experts in data technologies and partner with Data Platform to deliver high-quality, low-friction data processing frameworks. We also serve as the bridge between data producers and data consumers — championing best-in-class data engineering practices and guiding product teams on event-driven data API modeling — so that every team at Stripe can build, decide, and grow from a trusted, well-engineered data foundation. What you’ll do We're looking for a person who could contribute to the team by solving high-impact, cutting-edge data problems. The ideal candidate will be someone that has built data pipelines for large scale volume, is deeply knowledgeable of key tools including Airflow/Spark/Kafka/Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities. Responsibilities - Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success - Partner with our recruiting team to attract and hire top talent - Deliver cutting-edge data pipelines that scale to users' needs, focusing on reliability and efficiency - Develop strong subject matter expertise and manage the SLAs of data pipelines and full stack web applications that support critical stakeholders - Collaborate with product managers and peers across the company to create/improve canonical datasets and data warehouses, use golden paths, and ensure Stripes and customers are using trustworthy data - Leverage AI/LLM and Agents at scale to produce and analyze high-quality data on ambiguous problems - Have the opportunity to drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completion - Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - This is a Staff-level role — that typically means 10+ years of experience building and operating data systems, pipelines, warehouses, infrastructure, and leading teams to deliver exceptional solutions - A strong engineering background and passion for data as well as prior experience with writing and debugging data pipelines using a distributed data framework - An inquisitive nature in diving into data inconsistencies to pinpoint issues, and resolve deep rooted data quality issues - Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience - Extreme customer focus, with a commitment to partnering with product, leaders across the business, and other Stripe engineers to understand their use cases - Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs - Thrive with high autonomy and responsibility in an ambiguous environment - Ability to foster and work in a healthy, inclusive, challenging, and supportive work environment Preferred qualifications - Our stack is made up of Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, and AWS Cloud - experience with all or some of these tools is a huge plus - Influencing open-source contributions - Experience creating and maintaining data marts / warehouses to power business reporting needs - Experience collaborating with Product, Go-To-Market, or Sales / Marketing teams - Genuine enjoyment of innovation and a deep interest in understanding how things work, with the ability to question and direct architectural decisions - Strong written and verbal communication skills for various audiences, including leadership, users, and company-wide

👤 HumanFull-timeExpert / Staff+

By StripeAug 6, 2026

Senior Product Marketing Manager – AI & Emerging T...

Negotiable

Fastly helps people stay better connected with the things they love. Fastly’s edge cloud platform enables customers to create great digital experiences quickly, securely, and reliably by processing, serving, and securing our customers’ applications as close to their end-users as possible — at the edge of the Internet. The platform is designed to take advantage of the modern internet, to be programmable, and to support agile software development. Fastly’s customers include many of the world’s most prominent companies, including GitHub, Yelp, Paramount, and JetBlue. We're building a more trustworthy Internet. Come join us. Posting Open Date: August 11, 2026 Anticipated Posting Close Date*: September 11, 2026 *Job posting may close early due to the volume of applicants. Senior Product Marketing Manager – AI & Emerging Technologies We're looking for a Senior Product Marketing Manager: AI & Emerging Technologies to lead the market facing narrative, positioning, and GTM strategy for Fastly's AI initiatives and emerging AI developer capabilities. Reporting to the Director, Product Marketing: Security, AI and Emerging Technology, you will define how developers and enterprise buyers leverage Fastly to build, secure, and accelerate AI applications, spanning edge AI inference, AI workload delivery and optimization, and Fastly's broader AI platform story. You will work closely with Portfolio Intelligence, Sales, Growth Marketing, and Analyst Relations to drive market influence and customer adoption at scale, and will work across all product areas to develop Fastly's AI narrative overall and by product line. What You'll Do: - AI Market Narrative: Develop market facing messaging and category narratives that establish Fastly as an essential platform for modern AI workflows. - GTM Launch Management & Readiness: Lead GTM execution, readiness, and launch communications for high priority AI capabilities and partnerships. - Value Packaging & Sales Enablement: Partner with the enablement team to shape and package AI value propositions,, customer proof points, and pitch decks for enterprise sellers, sales engineers, and growth campaigns. - Analyst & Market Influence: Partner with Analyst Relations on the AI narrative, building market influence through strategic briefs, thought leadership, and storytelling. - Buyer Insights & Campaign Alignment: Connect buyer needs across DevOps, Platform Engineers, and AI Architects with revenue programs and integrated growth campaigns. - Cross-Portfolio AI Narrative: Partner across product areas to shape Fastly's AI story both holistically and by individual product line. - Competitive Awareness: Partner with Portfolio Intelligence to apply competitive intelligence on the AI landscape to sharpen messaging and ensure Fastly is represented in the broader AI infrastructure conversation. - Product Evangelism: Deliver presentations to the public on Fastly’s unique and differentiated security story. What We're Looking For: - 5+ years of relevant product marketing experience. - Experience in AI/ML, cloud infrastructure, or developer tools, and knowledge of AI buyer personas (AI/ML engineers, platform teams, CTOs setting AI strategy) required. - Technical aptitude along with an understanding of and enthusiasm for AI/ML, edge inference, and developer infrastructure. - Strong storytelling skills, including excellent written and spoken communication, with the ability to translate complex AI architecture into compelling business value propositions. - Exceptional critical thinking and problem solving skills. - Proven organizational skills with the ability to prioritize and multitask. - Self starter with strong initiative and drive. We’ll be super impressed if you have experience in any of these: - Established relationships with industry analysts (Gartner, Forrester, IDC) in AI, Cloud, or Developer infrastructure. Work Hours: This position will require you to be available during core business hours. Work Location(s) & Travel Requirements: This position is open to Hybrid Work Locations. The preferred locations for this position are: - San Francisco, CA - Denver, CO - New York, NY Fastly currently embraces a largely hybrid model for most roles which allows employees flexibility to split their time between the office and home. There is a strong preference for Hybrid near a local office. However, we may be willing to consider remote candidates within the US. This position may require travel as required by your role or requested by your manager. SF / LA Fair Chance Ordinance Statement Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Salary: The estimated salary range for this position is $132,060 to $186,444. Starting salary may vary based on permissible, non-discriminatory factors such as experience, skills, qualifications, and location. This role may be eligible to participate in Fastly’s equity and discretionary bonus programs. Benefits: We care about you. Fastly works hard to create a positive environment for our employees, and we think your life outside of work is important too. We support our teams with great benefits that start on the first day of your employment with Fastly. Curious about our offerings? We offer a comprehensive benefits package including medical, dental, and vision insurance. Family planning, mental health support along with Employee Assistance Program, Insurance (Life, Disability, and Accident), a Flexible Vacation policy and up to 18 days of accrued paid sick leave are there to help support our employees. We also offer 401(k) (including company match) and an Employee Stock Purchase Program. For 2026, we offer 12 paid local holidays, 12 paid company wellness days. Why Fastly? - We have a huge impact. Fastly is a small company with a big reach. Not only do our customers have a tremendous user base, but we also support a growing number of open source projects and initiatives . Outside of code, employees are encouraged to share causes close to their heart with others so we can help lend a supportive hand. - We value diversity. Growing and maintaining our inclusive and diverse team matters to us. We are committed to being a company where our employees feel comfortable bringing their authentic selves to work and have the ability to be successful -- every day. - We are passionate. Fastly is chock full of passionate people and we’re not ‘one size fits all’. Fastly employs authors, pilots, skiers, parents (of humans and animals), makeup geeks, coffee connoisseurs, and more. We love employees for who they are and what they are passionate about. We’re always looking for humble, sharp, and creative folks to join the Fastly team. If you think you might be a fit please apply! A fully completed application and resume or CV are required when applying. All job applications must be submitted through our official careers site at www.fastly.com/about/careers . We will never request sensitive information, such as your Social Security number, bank account or credit card information during the application process. All official communication will come from an @ fastly.com or @ recruiting.fastly.com email address. Fastly is committed to ensuring equal employment opportunity and to providing employees with a safe and welcoming work environment free of discrimination and harassment. Our employment decisions are based on business needs, job requirements and individual qualifications. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, family or parental status, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Consistent with the Americans with Disabilities Act (ADA) and federal or state disability laws, Fastly will provide reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact your Recruiter, or the Fastly Employee Relations team at candidateaccommodations@fastly.com or 501-287-4901. Fastly collects and processes personal data submitted by job applicants in accordance with our Privacy Policy . Please see our privacy notice for job applicants .

👤 HumanFull-timeSenior

By FastlyAug 12, 2026

Director, Product Marketing – Security, AI and Eme...

Negotiable

Fastly helps people stay better connected with the things they love. Fastly’s edge cloud platform enables customers to create great digital experiences quickly, securely, and reliably by processing, serving, and securing our customers’ applications as close to their end-users as possible — at the edge of the Internet. The platform is designed to take advantage of the modern internet, to be programmable, and to support agile software development. Fastly’s customers include many of the world’s most prominent companies, including GitHub, Yelp, Paramount, and JetBlue. We're building a more trustworthy Internet. Come join us. Posting Open Date: 08/11/2026 Anticipated Posting Close Date*: 09/11/2026 *Job posting may close early due to the volume of applicants. Director, Product Marketing – Security, AI and Emerging Technology This Director leads the product marketing function across two of Fastly's dynamic and fastest evolving product areas: Security and AI. While these domains serve different buyer personas and address different use cases on the surface, they share a critical strategic thread. Both represent Fastly's highest growth opportunity to expand beyond its CDN foundation, and both operate in markets where the competitive landscape is shifting rapidly. This is a highly externally facing, narrative driven role. This leader will work to establish Fastly as a credible, trusted player in markets where buyers have no shortage of alternatives. Reporting to the VP of Product Marketing, you will lead and manage a team of product marketers covering security and AI/emerging technology, guide go-to-market strategy and execution, partner closely with Analyst Relations, and act as a cross-functional evangelist for these categories, serving as a key voice in the market. What You'll Do: - Team Leadership: Lead and manage a team of product marketers spanning Security and AI & Emerging Technology. - GTM Strategy & Execution: Guide the strategic creation and execution of go-to-market plans for security and AI/emerging technology product launches. - Narrative & Messaging: Develop Fastly's overarching security story and AI/emerging technology narrative, and validate that both resonate with target buyers around the problems that we solve with our solutions. - Analyst Relations: Partner with the Head of Analyst Relations to support the AR program for security and AI, ensuring the analyst community understands Fastly's narrative and value propositions in both categories. - Executive & Company Visibility: Represent the security and AI/emerging technology product lines in company QBRs. - Partner & Channel GTM: Collaborate with Partner Marketing and Channel Sales teams to prioritize and support partner GTM efforts. - Sales Enablement: Partner with the enablement team to create sales trainings and other assets used in sales cycles. - Market Positioning: Partner with Portfolio Intelligence to apply competitive intelligence and technical differentiation insights to effectively position Fastly's security and AI products and features. - Customer & Buyer Insights: Ensure proof points, value delivery, and customer insights cultivated by the Advocacy team and other parts of the org are accurately represented and activated across Product Marketing assets and deliverables. - Customer Advocacy Support: Partner with the Advocacy team on the creation and review of customer proof materials (case studies, testimonials, references) to ensure they reflect accurately, on narrative security and AI positioning. - Cross-Functional Alignment: Collaborate cross-functionally with Product Management, Sales, and Marketing to ensure product strategy, messaging, and packaging are aligned and effective. - Content & Campaign Input: Provide input on and create unique assets with Growth Marketing and Campaigns for use across the buyer journey including within select verticals. - Category Evangelism: Partner with Portfolio Intelligence to find a differentiated angle in a crowded competitive field for security and AI, shape how that angle is told, and deliver that message to the market in public presentations. What We're Looking For: - 12+ years of relevant product marketing experience in security, AI/ML, or related infrastructure categories, including 5 years leading product marketing teams. - Technical understanding of modern approaches to cloud and application security; familiarity with AI/ML infrastructure and governance concepts. - Strong analytical abilities, with experience sizing and prioritizing market opportunities. - Excellent copywriting, editing, and communication skills. - Highly competent and confident presenter and trainer, comfortable with frequent interaction with customers, prospects, and industry analysts. - Track record of success leading product marketing teams and delivering on sales enablement commitments while driving alignment with cross-functional stakeholders. - Ability to juggle multiple projects in a dynamic, high pressure environment. - Attention to detail and discipline to not only follow but also establish policies and processes that guide the full product marketing team. We’ll be super impressed if you have experience in any of these: - Experience building category narratives in markets where the vendor is an upstart. - Familiarity with Gartner, Forrester, or IDC evaluation processes for security and/or AI categories. - Passion for driving positive business outcomes with a deep understanding of customer business needs and key market trends. Work Hours: This position will require you to be available during core business hours. Work Location(s) & Travel Requirements: The preferred locations for this position are: - San Francisco, CA - New York, NY - Denver, CO Fastly currently embraces a largely hybrid model for most roles which allows employees flexibility to split their time between the office and home. There is a strong preference for Hybrid near a local office. However, we may be willing to consider remote candidates within the US. This position may require travel as required by your role or requested by your manager. SF / LA Fair Chance Ordinance Statement Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Salary: The estimated salary range for this position is $194,040 to $273,936. Starting salary may vary based on permissible, non-discriminatory factors such as experience, skills, qualifications, and location. This role may be eligible to participate in Fastly’s equity and discretionary bonus programs. Benefits: We care about you. Fastly works hard to create a positive environment for our employees, and we think your life outside of work is important too. We support our teams with great benefits that start on the first day of your employment with Fastly. Curious about our offerings? We offer a comprehensive benefits package including medical, dental, and vision insurance. Family planning, mental health support along with Employee Assistance Program, Insurance (Life, Disability, and Accident), a Flexible Vacation policy and up to 18 days of accrued paid sick leave are there to help support our employees. We also offer 401(k) (including company match) and an Employee Stock Purchase Program. For 2026, we offer 12 paid local holidays, 12 paid company wellness days. Why Fastly? - We have a huge impact. Fastly is a small company with a big reach. Not only do our customers have a tremendous user base, but we also support a growing number of open source projects and initiatives . Outside of code, employees are encouraged to share causes close to their heart with others so we can help lend a supportive hand. - We value diversity. Growing and maintaining our inclusive and diverse team matters to us. We are committed to being a company where our employees feel comfortable bringing their authentic selves to work and have the ability to be successful -- every day. - We are passionate. Fastly is chock full of passionate people and we’re not ‘one size fits all’. Fastly employs authors, pilots, skiers, parents (of humans and animals), makeup geeks, coffee connoisseurs, and more. We love employees for who they are and what they are passionate about. We’re always looking for humble, sharp, and creative folks to join the Fastly team. If you think you might be a fit please apply! A fully completed application and resume or CV are required when applying. All job applications must be submitted through our official careers site at www.fastly.com/about/careers . We will never request sensitive information, such as your Social Security number, bank account or credit card information during the application process. All official communication will come from an @ fastly.com or @ recruiting.fastly.com email address. Fastly is committed to ensuring equal employment opportunity and to providing employees with a safe and welcoming work environment free of discrimination and harassment. Our employment decisions are based on business needs, job requirements and individual qualifications. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, family or parental status, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Consistent with the Americans with Disabilities Act (ADA) and federal or state disability laws, Fastly will provide reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact your Recruiter, or the Fastly Employee Relations team at candidateaccommodations@fastly.com or 501-287-4901. Fastly collects and processes personal data submitted by job applicants in accordance with our Privacy Policy . Please see our privacy notice for job applicants .

👤 HumanFull-timeExpert / Staff+

By FastlyAug 11, 2026

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