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Location: San Francisco, CA | New York City, NY 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 Pacing is Anthropic's work to make sure that, as AI capabilities advance, enough time and effort goes into making them safe. It covers the safety commitments we make and carry out ourselves, the public policy we develop and support, and the research and communication that help people understand how quickly AI is progressing and what that could mean. We're hiring a Technical Program Manager to run Pacing. It spans many projects led by people across Safety, Research, Policy, Legal, Communications, and Engineering, most of whom have other responsibilities too. You'll make sure each project has an owner, a clear outcome, and a date, and that leaders have high visibility and can make tradeoff decisions. You'll work closely with the team responsible for our Responsible Scaling Policy and support every project lead in delivering on their commitments. The questions and strategies relevant to this program will change rapidly as the frontier evolves. You'll need enough technical depth to drive discussions about model training, evaluations, and compute, and the judgment to identify which decisions belong with cross-functional partners and which you can make yourself. We're looking for a generalist who can ship quickly and iteratively and drive accountability towards high-level, ambiguous objectives. Key responsibilities Own the Pacing program end to end, keeping one accurate view of projects, owners, milestones, dependencies, and gaps that drives action from leadership and project leads Turn strategy from executive sponsors into scoped projects with measurable outcomes and timelines for execution, and drive concrete proposals to decisions Run the operating rhythm, including working sessions with project leads, regular written updates, and effective executive reviews, and follow decisions and action items through to completion Work with the Responsible Scaling Policy team and researchers to define the evidence and sign-off a model needs at key points in training and deployment, and make those reviews a dependable part of how we work Track the public and internal commitments Anthropic makes on pacing, and sequence the work, publications, and events behind them with Policy and Communications Partner with Legal throughout the lifespan of each project, and operate with high integrity on confidential and sensitive work Define how progress is measured, report against it candidly, and recommend which projects and practices to continue, change, or stop Use Claude to build automations to allow teams to have broader and deeper impact Minimum qualifications Experience leading multiple complex technical programs that span organizations and involve engineering or research teams, from ambiguous goals through delivery Strong program management skills, including program planning, milestone and dependency tracking, and risk management across many concurrent projects Technical fluency sufficient to identify risks and challenge tradeoffs in how frontier AI models are trained, evaluated, and deployed Working knowledge of AI safety and the main debates about how frontier AI should be developed and governed A track record of delivering through senior leaders and teams who don't report to you, including when it meant changing how they work Experience preparing decisions for executives, including framing options, making a recommendation, and recording the outcome Sound judgment and discretion with confidential and sensitive information Preferred qualifications Experience at a frontier AI developer, a government AI institute, an independent evaluator, or an AI safety or governance research organization Hands-on experience with frontier AI safety work, such as safety frameworks, safety cases, risk reports, model evaluations, or reviews of model training or deployment Familiarity with how AI progress is measured, including compute, capability trends, and the use of AI to speed up AI research Experience delivering programs that combine technical work with public policy, or that bring together experts from different organizations Experience managing published commitments or high-visibility public releases Experience building a program from zero and reshaping it as the strategy evolved The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 USD 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE ROLE Between a conversation and a model sit the formats and tokenizers that every part of our stack relies on. You will help own them, and the tooling around them, so that training, evaluation and production all speak exactly the same language. You will work across the entire stack, spanning pretraining, post-training and deployment, and your decisions will reach every model we ship. WHAT YOU WILL DO - Design, build and maintain core libraries for tokenization and model interfaces. - Evolve our formats and tokenizers as models and use cases change. - Turn research needs into robust, shared tooling. WHAT WE'RE LOOKING FOR - Strong software engineering background, with excellent Python. - Excellent understanding of tokenizers: BPE and other tokenization algorithms, special tokens, chat templates, and tokenizer training; ideally hands-on experience with libraries such as tiktoken or Hugging Face tokenizers. - Experience building production-grade libraries used by many people. - A taste for correctness and attention to detail. - Good knowledge of how LLMs are trained and served. - Clear communication, low ego, and a collaborative mindset. - Nice to have - Open-source maintenance experience. - Experience with inference engines. LOCATION AND REMOTE This role is primarily based at one of our European offices (Paris and London). We will prioritize candidates who either reside there or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team. In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting — currently France & UK. In that case, we ask all new hires to visit our local office for the first week of their onboarding (accommodation and travelling covered), then at least 4 days per month WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re looking for a high-performing strategic finance professional to join our growing Product Finance team as the finance owner for Baseten's distribution and labs partnerships. You'll evaluate commercials, design deal structures, and make sure the rates we agree to fit our economics and that the value we get from each partnership ties back to our product strategy and compute needs. You'll partner directly with Partnerships, Product, Infrastructure, GTM, and Legal leadership. This is a builder role: much of what you'll own doesn't exist yet as a model, a dashboard or a process. This role is ideal for someone with 7 to 10 years of experience across strategic finance, corporate development, investing, and/or investment banking who wants broad exposure to company-building inside a fast-scaling AI infrastructure company. RESPONSIBILITIES - Build deal models for distribution and labs partnerships across pricing, revenue share, commitments, and cost-to-serve - Evaluate partner proposals and counters and recommend structures that protect margin while getting deals done - Own commercial frameworks for partnerships, including revenue share tiers, capacity pricing and partner rate cards - Quantify each partnership's strategic value such as customer reach and model access, alongside its direct economics - Tie partner commitments and forecasts to Baseten's capacity and GPU supply plan - Track partnership performance after signing - Own the partnerships forecast and its contribution to the annual plan - Partner with Product and Partnerships leadership on which partners to prioritize and how partnerships inform the roadmap REQUIREMENTS - 7+ years of experience in strategic finance at a high-growth company, corporate development, PE/VC investing, and/or investment banking - Deep understanding of product unit economics and excellent financial modeling skills, including building deal models from raw usage and cost data - Experience structuring commercial agreements and anticipating their downstream impacts such as pricing precedent, channel conflict, capacity commitments and margin - Ability to synthesize complex information into clear recommendations for executives and hold a point of view in deal discussions - Comfortable building from scratch and making decisions with incomplete data - Strong attention to detail with a bias toward ownership and execution - Advanced Excel / Google Sheets skills; familiarity with SQL or BI tools is a plus NICE TO HAVE - Experience with GPU compute economics or cloud infrastructure - Familiarity with cloud marketplaces, AI gateways, or the commercial landscape for AI model labs - Experience at a usage-based company BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Cyprus; Finland; Ireland; Malta; Montenegro; Sweden What you'll be solving A platform engineer opens their AI client of choice, connects it to CAST AI, and types: "Why did our spend jump 40% in eu-west last week?" Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer. Your job is to make that interaction boring. Reliably, securely, at production scale. Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production. CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that: AI assistants for Kubernetes and the cloud itself . Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable. This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a generalist who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale. Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions about it. You should be at home with autoscaling, scheduling, and networking concepts. You've personally driven a complex project end-to-end. Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. What will make you stand out You've built agentic systems that shipped : MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team. Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage. Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops. Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design. Deep knowledge of EKS, GKE, or AKS internals. Kubernetes or cloud-native OSS contributions. Responsibilities Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure. Build and evolve our public, permission-aware MCP server : curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients. Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on. Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks). Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale. Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions. Contribute to product direction and backlog. Shape what gets built next, not just how it's built. Participate in the team's on-call rotation. Tools We Use Daily Programming Languages: Go AI & Agents: MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Workflows & APIs: Temporal, GCP Pub/Sub, gRPC, REST Observability & Product Analytics: Prometheus, Grafana, Loki, Tempo, PostHog CI/CD & GitOps: GitLab/GitHub CI with ArgoCD and Kargo What's in it for you? Competitive salary (€6,500 to €9,000 gross, depending on the level of experience) Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook. Equity options. Real users, fast: your work ships to hundreds of organizations in weeks, not quarters. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development, including access to international conferences and courses. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: London, United Kingdom; Belgrade, Serbia Workplace: hybrid Senior Product Manager - External Developer Experience Reports to: Group Product Manager (Get Set Up & Build) Location: London Your Role We are looking for an experienced Senior Product Manager to own the experience of every developer who builds on Sokin. At Sokin, we are building a world-class product team that can help us remove the borders, barriers and burdens from global business. Product Management at Sokin is all about creating and delivering an ambitious roadmap with your team and working continuously with clients and stakeholders to ensure your product is driving real value for our customers and the business. This is an opportunity for someone who wants to be part of something challenging and transformative, someone who wants to play a critical role in driving our success. We place a high value on curiosity. The best Product Managers here are endlessly inquisitive about our customers, our data and how money really moves. About Us Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency. Our mission is simple: we're simplifying global business - so businesses thrive wherever they choose to grow. We deliver this across: Global payments and receivables Foreign Exchange (FX) Treasury management Finance reconciliations We are expanding rapidly with an established presence across EMEA, APAC and North America. Backed by strong global infrastructure and industry-leading partners, we're redefining how businesses move money around the world. Our clients span industries from sports and entertainment to logistics and travel, and our community is growing fast. We're building a team of exceptional people who share our ambition to transform the future of global payments. As our Senior Product Manager, External Developer Experience Increasingly, our clients and partners do not use Sokin through a screen: they build on it. They connect their own platforms and finance systems to our APIs, they embed money movement in their own products, and a growing number are beginning to give AI agents access to their accounts. The quality of that experience decides how fast they get to their first payment and how much they trust us with more. You'll own the developer experience end to end: our API as a product, the technical documentation, the sandbox, and the white label offer for reseller and embedded partners. You'll set the standards that make Sokin easy to build on, work with Engineering to deliver them, and measure the result in developer terms: time to a first successful payment, the clarity of errors, and how smoothly code moves from sandbox to production. This is a senior role with a lot of room to define the area. Your first job is to decide what 'excellent' looks like for a developer at Sokin and to build the roadmap that gets us there. Your role as a Senior Product Manager at Sokin: Own the strategy and roadmap for Sokin's external developer experience: API ownership, technical documentation, sandbox and, white label and SDKs Treat the API as a product: own design principles, consistency, and a published versioning and deprecation policy that developers can rely on Drive a sandbox with production parity, so the same code runs in both without change, and a developer can reach a first successful payment within a day Rebuild developer documentation around the jobs developers do (get set up, send, collect, track) rather than around endpoints Make errors clear and actionable every time something fails, working with Engineering on error design and with Support on the cases that generate tickets Define how MCP and agent access is granted and controlled, as an entitlement an administrator grants with scope and limits recorded Productise the white label offer: packaging, pricing and the support model for reseller and embedded partners, so that a partner's customers receive the same onboarding service levels as Sokin's direct clients Work with Client Implementation, Solutions and Support to understand where integrations stall, and with the Onboarding Experience & Expansion and Platform Services teams on shared journeys Work from Sokin's Jobs to Be Done catalogue: describe the jobs developers, partners and the teams that support them hire your product for, the outcomes that matter, and the evidence behind them, and keep that picture current Define and track the metrics: time to first payment in the sandbox, integration success rate, API error rates and developer satisfaction We'd love to hear from you if: You have 6+ years in product management, including experience owning an API, developer platform or developer-facing product, ideally in payments or B2B fintech You have a strong understanding of API design, authentication, webhooks, versioning, sandbox environments and how developers evaluate and adopt an API You can write, or direct the writing of, clear technical documentation, and you care about how it reads to a busy developer You are comfortable with white label and embedded finance models, and the commercial and regulatory questions they raise You are curious about AI agents as API consumers and what permissions, limits and audit they require You own your roadmap and can identify problems, make decisions and drive things forward without waiting to be managed You have enough technical depth to work closely with engineers and to review a developer's experience for yourself You are comfortable working with compliance, security and commercial stakeholders Curious and inquisitive: you ask why before you build, dig into the data and the customer's real situation, follow questions past the first answer, and are never satisfied with 'that's how it has always been done'. Comfortable using AI in your role: you use AI tools as a matter of course to research, draft, analyse and prototype at speed, and you stay fully accountable for the result. AI is a tool that sharpens your judgement and never replaces it: you check what it gives you, and the thinking stays yours. Please note, candidates will need to have the right to work in the jurisdiction that they are looking to work in. Sokin is an equal opportunities employer and committed to maintaining an inclusive work environment. As a growing global startup with bases across multiple countries, we were established on and continue to promote an agile, flexible working culture. Please reach out to discuss any accommodations you may require during the recruitment process.

Location: European Union What you'll be solving A platform engineer opens their AI client of choice, connects it to CAST AI, and types: "Why did our spend jump 40% in eu-west last week?" Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer. Your job is to make that interaction boring. Reliably, securely, at production scale. Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production. CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that: AI assistants for Kubernetes and the cloud itself . Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable. This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a generalist who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale. Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions about it. You should be at home with autoscaling, scheduling, and networking concepts. You've personally driven a complex project end-to-end. Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. What will make you stand out You've built agentic systems that shipped : MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team. Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage. Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops. Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design. Deep knowledge of EKS, GKE, or AKS internals. Kubernetes or cloud-native OSS contributions. Responsibilities Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure. Build and evolve our public, permission-aware MCP server : curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients. Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on. Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks). Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale. Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions. Contribute to product direction and backlog. Shape what gets built next, not just how it's built. Participate in the team's on-call rotation. Tools We Use Daily Programming Languages: Go AI & Agents: MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Workflows & APIs: Temporal, GCP Pub/Sub, gRPC, REST Observability & Product Analytics: Prometheus, Grafana, Loki, Tempo, PostHog CI/CD & GitOps: GitLab/GitHub CI with ArgoCD and Kargo What's in it for you? Competitive salary (€6,500 to €9,000 gross, depending on the level of experience) Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook. Equity options. Real users, fast: your work ships to hundreds of organizations in weeks, not quarters. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development, including access to international conferences and courses. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Estonia; Greece; Latvia; Lithuania; Poland; Slovakia; Ukraine What you'll be solving A platform engineer opens their AI client of choice, connects it to CAST AI, and types: "Why did our spend jump 40% in eu-west last week?" Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer. Your job is to make that interaction boring. Reliably, securely, at production scale. Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production. CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that: AI assistants for Kubernetes and the cloud itself . Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable. This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a generalist who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale. Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions about it. You should be at home with autoscaling, scheduling, and networking concepts. You've personally driven a complex project end-to-end. Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. What will make you stand out You've built agentic systems that shipped : MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team. Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage. Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops. Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design. Deep knowledge of EKS, GKE, or AKS internals. Kubernetes or cloud-native OSS contributions. Responsibilities Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure. Build and evolve our public, permission-aware MCP server : curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients. Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on. Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks). Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale. Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions. Contribute to product direction and backlog. Shape what gets built next, not just how it's built. Participate in the team's on-call rotation. Tools We Use Daily Programming Languages: Go AI & Agents: MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Workflows & APIs: Temporal, GCP Pub/Sub, gRPC, REST Observability & Product Analytics: Prometheus, Grafana, Loki, Tempo, PostHog CI/CD & GitOps: GitLab/GitHub CI with ArgoCD and Kargo What's in it for you? Competitive salary (€6,500 to €9,000 gross, depending on the level of experience) Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook. Equity options. Real users, fast: your work ships to hundreds of organizations in weeks, not quarters. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development, including access to international conferences and courses. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Amsterdam Workplace: OnSite ABOUT US Tebi is building a modern connected hospitality operating system that helps entrepreneurs run their business more intelligently and smoothly. In one seamless platform, Tebi embeds sales, reservations, kitchen, inventory, and payments (as well as all the data that powers it) helping to automate work, streamline operations, and give hospitality owners the clarity and time they need to focus on what matters the most: creating great guest experiences. Founded by Arnout Schuijff, co-founder of Adyen, and backed by €50 million in funding from Index Ventures & CapitalG, Tebi is build in service of hospitality first. Thousands of restaurants, cafés, bars, and coffee shops across the Netherlands, UK, Spain, Italy, Denmark, Germany, Finland, and Ireland. ABOUT THE ROLE As the Senior Product Manager on our AI team, you'll own how AI shows up in Tebi, from an AI agent embedded in the product to the AI capabilities that run through the platform. Tebi sits on a unified foundation of sales, payments, reservations, kitchen and inventory data, which gives our AI something most restaurant software can't offer: the full picture. You'll own the vision, strategy and roadmap, and turn that data into agents and features that save merchants time, cut costs and help them make better decisions on a busy service. WHAT YOU’LL DO: - Define and own the vision and roadmap for Tebi's AI agent and AI capabilities across the product. - Work with AI engineers and data teams to ship agentic features that take real actions for merchants, not just answer questions. - Spend time with restaurant owners, managers and staff, plus Sales and Customer Success, to find the jobs where AI genuinely removes friction in their day. - Define how we measure quality and trust in AI features, including evals, accuracy, adoption and merchant outcomes, and use that to iterate quickly. - Decide where AI belongs in the product and where it doesn't, including guardrails, human-in-the-loop moments and when the merchant makes the final call. - Partner with all the other product teams so AI feels native to Tebi rather than bolted on. WHAT YOU'LL NEED: - 8+ years of product management experience at a fast-growing tech company, with a track record of shipping impactful launches. - You are highly collaborative, able to partner effectively across the organization and build trust with both technical and operational teams. - Hands-on experience building AI-powered products and a solid grasp of their strengths and limits. - A data-driven mindset: you combine quantitative signals and qualitative feedback, and you know how to evaluate non-deterministic products. - You care about the balance between craft, speed, and outcomes. This probably isn't the role for you if you're happiest on a structured environment with clear directions. We are looking for someone to set the direction and the vision for this team. People who succeed at Tebi are independent, curious and passionate about hospitality. If this speaks to you we can be the right fit. Learn more about how we work from our Recipe here: https://www.tebi.com/gb/careers. BENEFITS: - Generous start-up equity - Competitive Salary - Lunch provided in the office - Team building events - Unlimited time off What is Restaurant Software? Restaurants and other merchants use various software systems such as Point of Sale (POS), Reservations, Kitchen Display Systems (KDS), Payments, Inventory, Staffing, and the list goes on. These systems all need to speak to each other which they frequently don't. It's a mess, and we are fixing it. From buying a croissant at a cafe to having dinner with friends, it's a €4 Trillion+ global market and a critical part of everyday life in today's economy. How We Use AI at Tebi We use AI the way our merchants use Tebi, to cut out the friction and get to what matters faster. We believe in a world where AI increases quality, efficiency and speed. At Tebi, AI isn't a policy or a checkbox, it's just part of how we work. It helps us write, analyse, build, and improve but doesn't make the last call. If there's a smarter way to do something, we want to find it.

Location: Brisbane, Australia About Bradken: At Bradken, we're equipping the resource sector for a sustainable future. As a global leader in engineered wear solutions and mining consumables, we partner with customers to improve productivity, reliability and operational performance across mining and mineral processing operations worldwide. We're seeking a Business Development Manager to drive growth across our Mineral Processing portfolio. This is a highly proactive role focused on creating opportunities, developing new customer relationships and positioning Bradken early in project lifecycles. You'll work across both existing and emerging markets, helping shape commercial opportunities before they become active projects. About the Role You will play a critical role in expanding Bradken's market presence by identifying new opportunities, building site-level relationships and developing long-term growth strategies across the region. With a strong focus on Customer Centricity, you'll engage directly with end users, contractors, OEMs and procurement teams to understand operational challenges and uncover opportunities where Bradken can deliver value. You'll demonstrate Innovation by identifying market trends, shaping early-stage opportunities and developing solutions that address customer needs. Through a One Team approach, you'll collaborate closely with Sales, Engineering, Process and Product teams to turn opportunities into commercially successful outcomes. Your Impact You will: Identify, develop and convert new business opportunities across Bradken's Mineral Processing portfolio. Build strong relationships with mine sites, contractors, OEMs and procurement stakeholders to position Bradken early in project lifecycles. Develop and execute market-driven growth plans that increase market share, product penetration and aftermarket opportunities. Generate, qualify and progress a strong sales pipeline through proactive customer engagement and market intelligence. Partner with Sales, Engineering and Process teams to develop technically and commercially viable solutions. Support strategic accounts by building relationships and creating momentum before transitioning ongoing account management to Regional Sales Managers. Monitor competitor activity, project pipelines and market developments to identify new growth opportunities. Maintain accurate opportunity tracking, forecasting and customer engagement activities through Salesforce CRM. About You You are a commercially driven business development professional who enjoys creating opportunities, building relationships and influencing outcomes. You thrive in customer-facing environments and are motivated by identifying new avenues for growth. You will bring: Proven experience in business development, sales or commercial roles within the mining or mineral processing sector. Experience selling mining consumables, foundry products or related technical solutions. Strong understanding of mineral processing operations and customer requirements. Experience developing and managing opportunity pipelines through CRM systems. The ability to build relationships across operational, technical and executive stakeholder groups. Strong commercial acumen and strategic thinking capability. Excellent communication, negotiation and stakeholder management skills. Experience working collaboratively across sales, engineering and technical teams. Experience with Bradken Mill Liner products or related mineral processing solutions will be highly regarded. This role is based in Brisbane, Australia Why Bradken? You'll join a global team where innovation, collaboration and customer success drive everything we do. We encourage our people to challenge conventional thinking, develop new ideas and contribute to meaningful outcomes for our customers and the industries we serve. We offer: Safety-first environment and mindset Flexible work options Competitive Total Reward Packages Performance-based incentives EAP for you and your family Applicants must currently hold full, unrestricted working rights in Australia. Employer-sponsored visa support is not available for this position. Our Hiring Process As we work with teams around the world, time-zone differences can make live screening challenging. To support a fair, consistent, and inclusive evaluation process, we may invite candidates to complete a one-way video screening at a time that suits them. If you require adjustments or an alternative format, we're happy to discuss this with you. Before commencing employment, you will be required to complete a psychometric assessment and pre-employment medical, including drug and alcohol testing. We respectfully request no recruitment agency approaches. Bradken is an Equal Opportunity Employer. We are committed to providing a diverse, inclusive, engaging and flexible environment for our people. All employment decisions are based on merit, competence, performance and business needs.

Location: Remote, Global Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We’re looking for a Software Engineer to join our AI Tooling team and help shape how developers and agents build with Supabase. You'll build and own our AI tooling, including agents, the MCP server, agent skills and the dashboard assistant, and as the space moves you'll build the tooling for new technologies too. You'll build it all eval-first: every tool ships with evals and metrics, so we know, with evidence, that it makes agents better rather than worse. You'll work closely with the Docs, CLI, Frontend and SDK teams, and with the AI Tooling Infrastructure engineers who run these services in production. Other teams contribute to AI Tooling to improve Supabase's agentic capabilities, and you'll help them do that while keeping the quality bar high. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. WHAT YOU’LL BE RESPONSIBLE FOR - Build and improve the AI tooling we run today, including the MCP server, agent skills, agents and the Assistant. - Make new Supabase products usable by agents from day one: tools, skills and evals for new product surfaces. Also build tooling for new AI technologies as they emerge: prototype quickly, evaluate honestly, and decide with the team what is worth taking to production. - Drive an eval-first approach: build and improve evals, instrumentation and feedback loops, measure tools against a no-tool baseline, and help define the quality KPIs and gates that stop regressions shipping. - Understand how customers and agents actually use what we ship, and turn that into improvements to our tooling, interfaces and documentation. - Design how documentation and product knowledge are exposed to agents, and measure whether it works. - Build patterns and tools that help customers add AI to their own apps, such as MCP on Edge Functions, vector embeddings and agents running on Edge Functions. - Enable teams to improve Supabase's agentic capabilities through contributions to AI Tooling: clear contribution paths, templates, documentation and review practice. - Centralise shared AI logic so teams reuse it rather than duplicate it. - Ship tools that are battle-tested, with strong tests, benchmarking and stress testing where it counts. - Work with the AI Tooling Infrastructure engineers on reliability, auth and hosting. - Work across Docs, CLI, Frontend, SDK and other teams to deliver one coherent developer experience, and stay close to the fast-moving AI ecosystem. YOU MIGHT BE A GOOD FIT IF YOU MUST HAVE: - Have 5+ years of experience in professional software engineering experience. - Write strong TypeScript and know the JavaScript ecosystem well: npm, ES modules, bundlers, compatibility. - Are deeply familiar with the AI ecosystem: current tools, agent patterns and practical trade-offs. You can tell a durable pattern from hype. - Have built developer tools, product interfaces or platform primitives used by other engineers. - Have designed or used evaluation frameworks to measure AI quality, reliability and task success, and understand baselines, variance and cost. - Have strong judgement about where AI improves workflows and how to avoid fragile or gimmicky experiences. - Write tests and validate reliability in real-world conditions. - Know Postgres and relational database practice. - Communicate clearly in writing, work across product, engineering and docs, and thrive in async, globally distributed teams. - Are comfortable navigating ambiguity and moving quickly. NICE TO HAVE: - Experience with vector databases and embeddings, ideally pgvector. - Examples of customer-facing AI features or agents you've shipped. - Examples of documentation or structured knowledge designed for developers or agents. - Experience with Braintrust or a similar eval and tracing platform, or setting up CI quality gates. - Open-source contributions or developer tooling you've maintained. - Experience across several product surfaces or teams. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: San José, Costa Rica Who are we? Centro is an international product development company with over 15 years of expertise in web development, commercial design, affiliate, and online marketing. Our diverse and talented team operates across various countries, including the USA, Canada, Cyprus, Ukraine, Poland, Georgia, and more. Our project is the original home of independent creators producing niche digital content. What you’ll be working on: Apply Agile and Scrum principles in day-to-day work while planning and managing project timelines, releases, and rollouts; Research, evaluate, and validate new product ideas aligned with company OKRs and overall product strategy; Define clear, well-structured product requirements and communicate them effectively to the development team, including technical context and feedback; Collaborate with other Product Owners and stakeholders to manage dependencies, align priorities, and ensure smooth, timely feature delivery Maintain regular communication with stakeholders to set expectations, gather input, and address questions; Scope resources, prioritize backlog items, and define sprint goals while monitoring progress and removing blockers; Lead by example to foster a collaborative, autonomous team environment and drive accountability; Take ownership of problem-solving by driving solutions, implementing fixes, and ensuring task completion; Design and execute A/B tests, and monitor product usage to continuously optimize Creator tools; Stay up to date with industry trends and conduct competitive analysis across both niche and mainstream markets; Understand user flows by implementing tracking, building reports and dashboards, and continuously optimizing flows based on data insights; Understand and track stakeholder KPIs, communicate performance insights, and adapt messaging for different audiences. About you: 5+ years of experience as a Product Owner or Product Manager in a web development environment, with strong hands-on experience using AI tools as part of day-to-day product management workflows. Strong product thinking with the ability to identify high-impact opportunities, prioritize effectively, and drive initiatives from discovery to validation; User-first mindset with a strong focus on customer behavior, and business impact; Proven ability to rapidly prototype product concepts using AI-powered tools, validate ideas with users and data, and iterate quickly based on feedback. Data-driven approach to decision-making, including experience with product analytics, experimentation, and performance measurement; Experience with subscription-based products is a strong advantage; Demonstrated ability to think strategically, identify market opportunities, and translate business objectives into product initiatives with measurable outcomes. Strong understanding of OKR frameworks; outcome-driven product development, experimentation frameworks, and modern product operating model Comfortable working in AI-first product development environments where prototypes, AI-generated specifications, and rapid experimentation are used to accelerate delivery. Solid technical understanding of modern development workflows, tools, and engineering concepts; Hands-on experience with AI tools such as ChatGPT, Claude, Cursor, Lovable, v0, or similar AI-powered workflows; Ability to leverage AI tools to accelerate product discovery, documentation, analysis, experimentation, and execution; Skilled in writing clear, structured, and actionable product requirements optimized for both human collaboration and AI-assisted workflows; Strong analytical, communication, and stakeholder management skills; Highly adaptable, detail-oriented, and comfortable operating in rapidly evolving environments; Strong ownership mindset with the ability to influence, inspire, and motivate cross-functional teams; Why work with us? Competitive salary - receive compensation that reflects your skills and experience; ‍Growth and development - opportunities to grow are endless, with support for your professional development; Remote flexibility - work from anywhere, with a team that values balance and productivity; High level of autonomy, ownership, and accountability; No bureaucracy or micromanagement – we value autonomy and initiative; Educational programs  to expand your knowledge and skills; Team-building activities and opportunities to attend industry events; Paid holidays, vacation, personal days and sick leave. Like ownership and real impact? We should meet 🚀

Location: Montreal, QC, Canada We’re looking for a Payment Processing Manager . This is a new role. As we continue scaling our marketplace and subscription products, we're looking for a Payment Processing Manager who will optimize payment performance, improve conversion rates, reduce fraud and chargebacks, and drive smarter payment strategies across the business. About us Centro is an international product company with over 20 years of expertise in product development, affiliate marketing, and online technologies. Our team of 300+ professionals across Europe and North America builds products used by millions of users worldwide. Key Responsibilities Own and optimize the end-to-end payment ecosystem across marketplace and subscription products. Increase payment approval rates through routing, processor optimization, and payment recovery strategies. Lead fraud prevention, chargeback management, and payment risk initiatives while balancing conversion and security. Improve checkout, recurring billing, and subscription payment performance to maximize revenue and reduce churn. Analyze payment data and implement data-driven improvements across the payment funnel. Collaborate with Product, Engineering, Finance, Trust & Safety, and payment partners to deliver a seamless payment experience. Evaluate new payment methods, processors, and technologies to support business growth. Qualifications 5 years of experience in payments, payment operations, fintech, e-commerce, subscriptions, or marketplaces. Experience with subscription billing, recurring payments, payment optimization, and payment recovery strategies. Knowledge of fraud prevention, chargeback management, payment risk, and payment compliance. Strong analytical skills with the ability to translate payment data into actionable business decisions. Experience working cross-functionally with Product, Engineering, Finance, Risk, and Compliance teams. Excellent communication, stakeholder management, and problem-solving skills. Understanding of payment gateways, processors, acquiring, card networks, authorization flows, and BIN routing is an asset. Why work with us? Competitive salary - receive compensation that reflects your skills and experience; ‍Growth and development - opportunities to grow are endless, with support for your professional development; High level of autonomy, ownership, and accountability; No bureaucracy or micromanagement – we value autonomy and initiative; Educational programs  to expand your knowledge and skills; Team-building activities and opportunities to attend industry events; Paid holidays, vacation, personal days and sick leave. Send us your resume today - we are excited to meet you!

Location: Limassol, Cyprus We’re looking for a Payment Processing Manager . As we continue scaling our marketplace and subscription products, we're looking for a Payment Processing Manager who will optimize payment performance, improve conversion rates, reduce fraud and chargebacks, and drive smarter payment strategies across the business. About us Centro is an international product company with over 20 years of expertise in product development, affiliate marketing, and online technologies. Our team of 300+ professionals across Europe and North America builds products used by millions of users worldwide. Key Responsibilities Own and optimize the end-to-end payment ecosystem across marketplace and subscription products. Increase payment approval rates through routing, processor optimization, and payment recovery strategies. Lead fraud prevention, chargeback management, and payment risk initiatives while balancing conversion and security. Improve checkout, recurring billing, and subscription payment performance to maximize revenue and reduce churn. Analyze payment data and implement data-driven improvements across the payment funnel. Collaborate with Product, Engineering, Finance, Trust & Safety, and payment partners to deliver a seamless payment experience. Evaluate new payment methods, processors, and technologies to support business growth. Qualifications 5  years of experience in payments, payment operations, fintech, e-commerce, subscriptions, or marketplaces. Experience with subscription billing, recurring payments, payment optimization, and payment recovery strategies. Knowledge of fraud prevention, chargeback management, payment risk, and payment compliance. Strong analytical skills with the ability to translate payment data into actionable business decisions. Experience working cross-functionally with Product, Engineering, Finance, Risk, and Compliance teams. Excellent communication, stakeholder management, and problem-solving skills. Understanding of payment gateways, processors, acquiring, card networks, authorization flows, and BIN routing is an asset. Why work with us? Competitive salary - receive compensation that reflects your skills and experience; ‍Growth and development - opportunities to grow are endless, with support for your professional development; High level of autonomy, ownership, and accountability; No bureaucracy or micromanagement – we value autonomy and initiative; Educational programs  to expand your knowledge and skills; Team-building activities and opportunities to attend industry events; Paid holidays, vacation, personal days and sick leave. Send us your resume today - we are excited to meet you!

Location: Montreal, QC, Canada Who are we? Centro is an international product development company with over 15 years of expertise in web development, commercial design, affiliate, and online marketing. Our diverse and talented team operates across various countries, including the USA, Canada, Cyprus, Ukraine, Poland, Georgia, and more. Our project is the original home of independent creators producing niche digital content. What you’ll be working on: Apply Agile and Scrum principles in day-to-day work while planning and managing project timelines, releases, and rollouts; Research, evaluate, and validate new product ideas aligned with company OKRs and overall product strategy; Define clear, well-structured product requirements and communicate them effectively to the development team, including technical context and feedback; Collaborate with other Product Owners and stakeholders to manage dependencies, align priorities, and ensure smooth, timely feature delivery Maintain regular communication with stakeholders to set expectations, gather input, and address questions; Scope resources, prioritize backlog items, and define sprint goals while monitoring progress and removing blockers; Lead by example to foster a collaborative, autonomous team environment and drive accountability; Take ownership of problem-solving by driving solutions, implementing fixes, and ensuring task completion; Design and execute A/B tests, and monitor product usage to continuously optimize Creator tools; Stay up to date with industry trends and conduct competitive analysis across both niche and mainstream markets; Understand user flows by implementing tracking, building reports and dashboards, and continuously optimizing flows based on data insights; Understand and track stakeholder KPIs, communicate performance insights, and adapt messaging for different audiences. About you: 7+ years of experience as a Product Owner or Product Manager in a web development environment, with strong hands-on experience using AI tools as part of day-to-day product management workflows. Strong product thinking with the ability to identify high-impact opportunities, prioritize effectively, and drive initiatives from discovery to validation; User-first mindset with a strong focus on customer behavior, and business impact; Proven ability to rapidly prototype product concepts using AI-powered tools, validate ideas with users and data, and iterate quickly based on feedback. Data-driven approach to decision-making, including experience with product analytics, experimentation, and performance measurement; Experience with subscription-based products is a strong advantage; Demonstrated ability to think strategically, identify market opportunities, and translate business objectives into product initiatives with measurable outcomes. Strong understanding of OKR frameworks; outcome-driven product development, experimentation frameworks, and modern product operating model Comfortable working in AI-first product development environments where prototypes, AI-generated specifications, and rapid experimentation are used to accelerate delivery. Solid technical understanding of modern development workflows, tools, and engineering concepts; Hands-on experience with AI tools such as ChatGPT, Claude, Cursor, Lovable, v0, or similar AI-powered workflows; Ability to leverage AI tools to accelerate product discovery, documentation, analysis, experimentation, and execution; Skilled in writing clear, structured, and actionable product requirements optimized for both human collaboration and AI-assisted workflows; Strong analytical, communication, and stakeholder management skills; Highly adaptable, detail-oriented, and comfortable operating in rapidly evolving environments; Strong ownership mindset with the ability to influence, inspire, and motivate cross-functional teams; Why work with us? Competitive salary - receive compensation that reflects your skills and experience; ‍Growth and development - opportunities to grow are endless, with support for your professional development; Remote flexibility - work from anywhere, with a team that values balance and productivity; High level of autonomy, ownership, and accountability; No bureaucracy or micromanagement – we value autonomy and initiative; Educational programs  to expand your knowledge and skills; Team-building activities and opportunities to attend industry events; Paid holidays, vacation, personal days and sick leave. Like ownership and real impact? We should meet 🚀

Location: Costa Rica We’re looking for a Payment Processing Manager . As we continue scaling our marketplace and subscription products, we're looking for a Payment Processing Manager who will optimize payment performance, improve conversion rates, reduce fraud and chargebacks, and drive smarter payment strategies across the business. About us Centro is an international product company with over 20 years of expertise in product development, affiliate marketing, and online technologies. Our team of 300+ professionals across Europe and North America builds products used by millions of users worldwide. Key Responsibilities Own and optimize the end-to-end payment ecosystem across marketplace and subscription products. Increase payment approval rates through routing, processor optimization, and payment recovery strategies. Lead fraud prevention, chargeback management, and payment risk initiatives while balancing conversion and security. Improve checkout, recurring billing, and subscription payment performance to maximize revenue and reduce churn. Analyze payment data and implement data-driven improvements across the payment funnel. Collaborate with Product, Engineering, Finance, Trust & Safety, and payment partners to deliver a seamless payment experience. Evaluate new payment methods, processors, and technologies to support business growth. Qualifications 5  years of experience in payments, payment operations, fintech, e-commerce, subscriptions, or marketplaces. Experience with subscription billing, recurring payments, payment optimization, and payment recovery strategies. Knowledge of fraud prevention, chargeback management, payment risk, and payment compliance. Strong analytical skills with the ability to translate payment data into actionable business decisions. Experience working cross-functionally with Product, Engineering, Finance, Risk, and Compliance teams. Excellent communication, stakeholder management, and problem-solving skills. Understanding of payment gateways, processors, acquiring, card networks, authorization flows, and BIN routing is an asset. Why work with us? Competitive salary - receive compensation that reflects your skills and experience; ‍Growth and development - opportunities to grow are endless, with support for your professional development; High level of autonomy, ownership, and accountability; No bureaucracy or micromanagement – we value autonomy and initiative; Educational programs  to expand your knowledge and skills; Team-building activities and opportunities to attend industry events; Paid holidays, vacation, personal days and sick leave. Send us your resume today - we are excited to meet you!

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity Enterprise Efficiency builds internal products and platforms that power how our company operates globally. We are looking for a Senior Product Manager to own and improve our Payroll, Global Compensation, and Leave and Absence systems. You should bring deep, hands-on expertise in at least one of these domains, along with a working understanding of the core processes, system capabilities, and interdependencies across the other two. You will partner closely with People, Payroll, Total Rewards, Finance, and Engineering to translate complex policies and operational requirements into reliable, intuitive, and scalable products. This is a hands-on product role, with ownership from problem discovery and process design through delivery, adoption, and continuous improvement. Professional working proficiency in both English and Mandarin is required for product documentation, meetings, and cross-functional collaboration. What You’ll Be Doing Turn HR domain expertise into effective products. Understand the policies, operational processes, and user needs across Payroll, Global Compensation, and Leave and Absence. Work with domain specialists to translate these into clear product capabilities that simplify work for employees, managers, and operational teams. Own the product roadmap for your scope. Partner with People, Payroll, Total Rewards, and Finance stakeholders to prioritize system foundations and efficiency opportunities. Redesign end-to-end workflows. Improve processes such as payroll input validation and reconciliation, compensation reviews and changes, and leave requests and balance management. Define clear business rules, effective dates, approvals, exceptions, and ownership, with support from the relevant domain experts. Connect HR systems and strengthen data integrity. Partner with engineering to integrate HRIS, payroll providers, compensation tools, and leave systems, improve data consistency, and deliver connected user experiences with appropriate permissions and audit trails. Improve efficiency through automation and AI. Work with internal stakeholders to identify and implement practical solutions that reduce repetitive work and improve accuracy and decision quality. Lead delivery, adoption, and business outcomes. Align engineering, design, and functional owners from discovery through rollout and continuous improvement. Measure results through cycle time, manual effort, accuracy, adoption, and control effectiveness. What We Look For In You 5+ years of experience in product management or closely related enterprise product roles, with substantial experience delivering HR or People systems. A track record of independently owning enterprise products or major product initiatives from discovery through launch and adoption, with measurable improvements in operational efficiency, accuracy, or user experience. Deep, hands-on expertise in at least one of the following domains: Payroll, Global Compensation, or Leave and Absence , including its business processes, policy rules, data dependencies, and operational exceptions. A working understanding of the core processes and system capabilities in the other two domains, including how all three connect, is required. Demonstrated ability to translate complex HR policies and operational processes into clear product requirements, workflows, data models, and acceptance criteria. Strong product judgment, with experience defining roadmaps, resolving competing priorities, and evaluating build-versus-buy options in partnership with business and engineering teams. Technical fluency in enterprise integrations, data dependencies, identity, permissions, and auditability. Strong communication and stakeholder management skills, including the ability to challenge assumptions, explain tradeoffs, and build alignment across teams. Ability to work effectively in both English and Mandarin, including writing product documents, participating in meetings, and collaborating across teams. Nice to Haves Experience with Workday, Oracle HCM, SAP SuccessFactors, UKG/Kronos, or equivalent HR systems and payroll platforms. Experience delivering cross-border or multi-country projects, including coordinating teams across regions and managing local requirements. Experience deploying AI or agent capabilities into production workflows and measuring their business impact. Experience in financial services, crypto, payments, or another environment with demanding control and audit requirements. Experience consolidating fragmented HR tools and improving data quality and ownership across systems. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing, and curiosity into a new paradigm of using AI to transform knowledge into action. Thousands of attorneys, Am Law firms, and corporate legal teams already rely on Perplexity every week—and Legal is one of our highest-conviction enterprise verticals. Following the playbook that scaled Perplexity Finance, we are looking for an entrepreneurial Product Manager to build and scale our Legal vertical from the ground up. Product Managers at Perplexity work closely with design, engineering, research, and go-to-market teams to turn frontier AI capabilities into indispensable daily workflows. Whether you have a couple of years of product experience at a legal AI or B2B software company, or you are an early-career builder or operator with high agency and a steep trajectory, this role offers rare end-to-end ownership of a flagship vertical. In your application, please highlight a product, workflow, or agent system you’ve built—or a specific legal problem you believe AI is uniquely positioned to solve. THE ROLE Legal work sits at the exact intersection where Perplexity shines: high-stakes research, multi-document synthesis, verifiable citations, and multi-step execution across specialized systems. Winning in Legal requires clearing an uncompromising bar for accuracy, source authority, document fidelity, and enterprise governance—without sacrificing the speed and simplicity that make Perplexity magical. Sitting within our AI Capabilities & Verticals PM team, you will be the dedicated product owner for Perplexity’s Legal vertical. Rather than building an isolated point solution, you will shape how core Perplexity surfaces—Computer, Search, Teammates, Projects, Plugins, Skills, and Artifacts—come together into a cohesive, trusted experience for litigators, transactional counsel, and in-house legal teams. You will partner across Engineering, Design, AI Research, Partnerships, Sales, and Product Marketing to close product and data gaps, co-design with leading law firms and legal departments, and scale Legal into one of Perplexity’s flagship enterprise businesses. WHAT YOU’LL DO - Own the Legal vertical roadmap end-to-end: Define and execute product strategy across litigation research, M&A and transactional diligence, contract review and drafting, and in-house legal workflows—translating attorney pain points into modular capabilities that benefit the entire platform. - Ship core legal primitives and entrypoints: Partner with Engineering and Design to build the product surfaces high-stakes legal work demands—including structured multi-document review tables for diligence and discovery, passage-level inline citations with side-by-side source verification across PDFs/DOCX/spreadsheets, precision redlining and document comparison, and seamless workflows inside Microsoft Word, Outlook/email, and Slack. - Expand the legal data and connector ecosystem: Work closely with Business Development/Partnerships and Engineering to prioritize, integrate, and launch authoritative legal research sources (case law, citators, dockets, secondary sources) and system-of-record connectors across DMS, VDRs, CLM, e-discovery, and practice management (e.g., LexisNexis, Westlaw, iManage, NetDocuments, Datasite, Intralinks, Ironclad, Clio). - Build Legal Skills, Plugins, Teammates, and tailored onboarding: Design out-of-the-box legal workflows, domain-specific Skills, and tailored onboarding flows that ingest a lawyer’s or firm’s clause playbooks, precedent templates, and drafting conventions for immediate time-to-value. - Set the bar for accuracy, evaluations, and enterprise trust: Partner with AI Research and Engineering to build realistic, workflow-level legal benchmarks and evaluation harnesses (measuring citation fidelity, retrieval recall, tabular extraction, and redline quality), alongside enterprise controls for permissions, matter-level governance, and data handling. - Co-design with customers and accelerate vertical GTM: Build design partnerships with leading law firms and corporate legal teams, join strategic customer calls to turn live blockers into shipped product, and partner with Sales, Applied AI, and Product Marketing to craft category-defining demos, case studies, and self-serve and enterprise growth loops. QUALIFICATIONS - 1–4+ years of experience in product management, founding/early-stage product building, forward-deployed product/solutions, or a high-intensity analytical/operating role (such as startup operations, strategy consulting, or investment banking) paired with hands-on product shipping. We index heavily on slope, curiosity, and execution speed rather than years on a resume. - No JD or formal legal degree required—though genuine curiosity about how legal professionals research, analyze risk, negotiate, and deliver work is essential. - AI-native builder: You actively build with LLMs and agents. You are comfortable writing and tuning prompts and Skills, prototyping workflows end-to-end, reasoning about tool calls and context budgets, and designing evaluations and human-in-the-loop safeguards for non-deterministic systems. - Analytical and data-fluent: Comfortable writing SQL, pulling your own cohorts, instrumenting failure modes, running guarded experiments, and pairing warehouse metrics with qualitative user research to focus on what drives retention and repeat high-value usage. - Crisp communicator and high-velocity executor: Strong written and verbal communication; comfortable moving directly from a partner call with an Am Law firm into writing a tight spec with engineers and shipping iterations the same week. - High-ownership operator: Thrives in a small, agile, low-ego team where processes are still being defined and you own the full stack of the outcome—from multi-quarter vertical strategy down to dogfooding edge cases in redlined Word documents. NICE TO HAVE - Experience building or operating at a legal AI, legal tech, e-discovery, CLM, or vertical enterprise AI company (or working directly with law firms and corporate legal departments). - Familiarity with real-world legal workflows and tooling—such as litigation cite-checking (Shepard’s/KeyCite), M&A virtual data rooms, contract redlining playbooks, DMS/CLM integrations, or Microsoft Office add-ins. - Technical foundation (CS, engineering, data science, or dual technical/business training) with comfort reading API documentation, MCP/connector schemas, and system architectures.

Location: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing, and curiosity into a new paradigm of using AI to transform knowledge into action. Thousands of attorneys, Am Law firms, and corporate legal teams already rely on Perplexity every week—and Legal is one of our highest-conviction enterprise verticals. Following the playbook that scaled Perplexity Finance, we are looking for an entrepreneurial Product Manager to build and scale our Legal vertical from the ground up. Product Managers at Perplexity work closely with design, engineering, research, and go-to-market teams to turn frontier AI capabilities into indispensable daily workflows. Whether you have a couple of years of product experience at a legal AI or B2B software company, or you are an early-career builder or operator with high agency and a steep trajectory, this role offers rare end-to-end ownership of a flagship vertical. In your application, please highlight a product, workflow, or agent system you’ve built—or a specific legal problem you believe AI is uniquely positioned to solve. THE ROLE Legal work sits at the exact intersection where Perplexity shines: high-stakes research, multi-document synthesis, verifiable citations, and multi-step execution across specialized systems. Winning in Legal requires clearing an uncompromising bar for accuracy, source authority, document fidelity, and enterprise governance—without sacrificing the speed and simplicity that make Perplexity magical. Sitting within our AI Capabilities & Verticals PM team, you will be the dedicated product owner for Perplexity’s Legal vertical. Rather than building an isolated point solution, you will shape how core Perplexity surfaces—Computer, Search, Teammates, Projects, Plugins, Skills, and Artifacts—come together into a cohesive, trusted experience for litigators, transactional counsel, and in-house legal teams. You will partner across Engineering, Design, AI Research, Partnerships, Sales, and Product Marketing to close product and data gaps, co-design with leading law firms and legal departments, and scale Legal into one of Perplexity’s flagship enterprise businesses. WHAT YOU’LL DO - Own the Legal vertical roadmap end-to-end: Define and execute product strategy across litigation research, M&A and transactional diligence, contract review and drafting, and in-house legal workflows—translating attorney pain points into modular capabilities that benefit the entire platform. - Ship core legal primitives and entrypoints: Partner with Engineering and Design to build the product surfaces high-stakes legal work demands—including structured multi-document review tables for diligence and discovery, passage-level inline citations with side-by-side source verification across PDFs/DOCX/spreadsheets, precision redlining and document comparison, and seamless workflows inside Microsoft Word, Outlook/email, and Slack. - Expand the legal data and connector ecosystem: Work closely with Business Development/Partnerships and Engineering to prioritize, integrate, and launch authoritative legal research sources (case law, citators, dockets, secondary sources) and system-of-record connectors across DMS, VDRs, CLM, e-discovery, and practice management (e.g., LexisNexis, Westlaw, iManage, NetDocuments, Datasite, Intralinks, Ironclad, Clio). - Build Legal Skills, Plugins, Teammates, and tailored onboarding: Design out-of-the-box legal workflows, domain-specific Skills, and tailored onboarding flows that ingest a lawyer’s or firm’s clause playbooks, precedent templates, and drafting conventions for immediate time-to-value. - Set the bar for accuracy, evaluations, and enterprise trust: Partner with AI Research and Engineering to build realistic, workflow-level legal benchmarks and evaluation harnesses (measuring citation fidelity, retrieval recall, tabular extraction, and redline quality), alongside enterprise controls for permissions, matter-level governance, and data handling. - Co-design with customers and accelerate vertical GTM: Build design partnerships with leading law firms and corporate legal teams, join strategic customer calls to turn live blockers into shipped product, and partner with Sales, Applied AI, and Product Marketing to craft category-defining demos, case studies, and self-serve and enterprise growth loops. QUALIFICATIONS - 1–4+ years of experience in product management, founding/early-stage product building, forward-deployed product/solutions, or a high-intensity analytical/operating role (such as startup operations, strategy consulting, or investment banking) paired with hands-on product shipping. We index heavily on slope, curiosity, and execution speed rather than years on a resume. - No JD or formal legal degree required—though genuine curiosity about how legal professionals research, analyze risk, negotiate, and deliver work is essential. - AI-native builder: You actively build with LLMs and agents. You are comfortable writing and tuning prompts and Skills, prototyping workflows end-to-end, reasoning about tool calls and context budgets, and designing evaluations and human-in-the-loop safeguards for non-deterministic systems. - Analytical and data-fluent: Comfortable writing SQL, pulling your own cohorts, instrumenting failure modes, running guarded experiments, and pairing warehouse metrics with qualitative user research to focus on what drives retention and repeat high-value usage. - Crisp communicator and high-velocity executor: Strong written and verbal communication; comfortable moving directly from a partner call with an Am Law firm into writing a tight spec with engineers and shipping iterations the same week. - High-ownership operator: Thrives in a small, agile, low-ego team where processes are still being defined and you own the full stack of the outcome—from multi-quarter vertical strategy down to dogfooding edge cases in redlined Word documents. NICE TO HAVE - Experience building or operating at a legal AI, legal tech, e-discovery, CLM, or vertical enterprise AI company (or working directly with law firms and corporate legal departments). - Familiarity with real-world legal workflows and tooling—such as litigation cite-checking (Shepard’s/KeyCite), M&A virtual data rooms, contract redlining playbooks, DMS/CLM integrations, or Microsoft Office add-ins. - Technical foundation (CS, engineering, data science, or dual technical/business training) with comfort reading API documentation, MCP/connector schemas, and system architectures.