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Location: Remote Job Title: Senior Software Engineer Reports to: Director of Engineering Build the infrastructure powering the future of restaurant payments At inKind, we’re building the financial infrastructure that connects restaurants, diners, and capital in entirely new ways. Our platform powers real-time financial transactions and operational workflows for restaurants across the country. We’re looking for entrepreneurial, forward-thinking engineers who thrive in fast-moving environments and enjoy solving complex technical problems at scale. This is a hands-on role where you’ll design and build systems that support mission-critical financial workflows used daily by restaurants and partners. Our engineering team works with an AI-first mindset — leveraging modern AI tools to accelerate development, automate workflows, and unlock new product capabilities. We’re looking for engineers who are excited to experiment with emerging technologies while maintaining high standards for reliability and scalability. You’ll collaborate closely with product, business, and engineering teams to build systems that directly impact the restaurants and partners who rely on inKind for real-time financial operations. What You’ll Work On You’ll help design and operate the systems that power our financial platform. Distributed Systems & Platform Engineering Design and implement scalable distributed systems supporting financial transactions and real-time events Architect services that handle real-world scale, failure scenarios, and performance constraints Ensure strong data integrity and consistency across distributed workflows Build secure infrastructure protecting sensitive financial data AI-First Engineering Identify opportunities to leverage AI tools to accelerate development and improve engineering workflows Contribute to AI-enabled product features and automation across the platform Help evolve how our team integrates modern developer tools and AI-assisted engineering practices Reliability & Production Operations Design systems with observability, monitoring, and failure recovery in mind Debug complex production issues across distributed services Improve reliability and performance of mission-critical systems Participate in on-call rotations to maintain platform stability Cross-Functional Collaboration Partner with product and business teams to translate customer needs into scalable technical solutions Lead architectural decisions through hands-on implementation Mentor engineers and help raise engineering standards across the team Who Thrives Here The engineers who succeed at inKind tend to be: Builder Mindset You enjoy taking ownership, experimenting with new ideas, and shipping impactful solutions. Systems Thinkers You understand how complex systems interact and can design resilient architectures. Forward-Thinking Engineers You’re excited about modern development practices and exploring how AI can improve the way we build software. Pragmatic Problem Solvers You know when to refactor, when to optimize, and when to ship. Collaborative Teammates You communicate clearly and work well with engineering, product, and business partners. Minimum Qualifications 8+ years of experience building and operating production systems Strong distributed systems design experience Expertise in at least one major web framework (Rails, Django, Express, Fastify, etc.) Strong database knowledge including indexing, query optimization, and transactional integrity Experience designing highly available production systems Familiarity with authentication, authorization, and secure API design Preferred Qualifications Experience scaling systems during periods of rapid growth Background in payments, financial transactions, or regulated systems Experience implementing distributed patterns such as retries, circuit breakers, and event-driven workflows Experience working with or evolving large Rails applications Experience integrating AI tools into engineering workflows or building AI-powered product features Why Engineers Like Working Here Work on real-world financial infrastructure used by restaurants every day High ownership and autonomy in architectural decisions Opportunity to help shape an AI-first engineering culture Collaborative environment working closely with product and business teams Fast-moving startup environment where your work directly impacts customers Some of our Benefits: Generous PTO and company holiday policy + company paid Short Term Disability 100% employer covered health and dental insurance for our direct employees (a set plan is covered, with higher tier healthcare coverage available at employee's additional cost; dependent coverage is at employee's cost); vision plan available at employee's additional cost Child Care Benefits and generous parental leave Dog-friendly workspace in a secure building with great views of downtown Austin Daily lunches and snacks for in-office team members Salary $160,000 – $185,000, DOE Who we are: inKind connects passionate diners with exceptional restaurants across the country. inKind partners with thousands of restaurants and has millions of users who want to discover great places, dine confidently, and earn meaningful rewards. Through the inKind app, guests earn 20% back every time they dine, turning everyday meals into something more rewarding. From celebrated restaurant groups like José Andres and Michael Mina to beloved neighborhood favorites, inKind helps diners explore the best restaurants in town while supporting the restaurants and chefs who shape how their cities eat. Rooted in hospitality and built on a win-win philosophy, inKind exists to help great restaurants thrive while inspiring guests to dine out more often. Every meal creates value on both sides of the table, empowering diners to savor more while strengthening the restaurant community. inKind is an Equal Opportunity Employer. We believe that diversity is vital to inKind's ability to provide our clients with the best recommendations and are committed to fostering a varied and inclusive work environment. Your race, color, ancestry, religion, gender, gender identity, national origin, sexual orientation, age, marital status, disability status, veteran status, or any other protected category have no bearing on our hiring decisions. By submitting this application, you acknowledge that inKind Cards, Inc. may share the information you provide with trusted third-party service providers, including fraud detection and application processing partners, to evaluate your application and ensure the integrity of our hiring process. Your information will be handled in accordance with our Privacy Policy . For California residents and others with applicable rights, please review our privacy notice for information about your rights regarding your personal data.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE The Head of Strategic Partnerships & Ecosystem will manage and grow Render's most critical technology partner relationships. This role involves building and executing a comprehensive partnerships strategy — spanning AI ecosystem integrations, hyperscalers and early bets on emerging platforms — that drives meaningful distribution and growth for Render. These partnerships touch nearly every part of Render — Product, Engineering, DevRel, and Business Development — and often involve senior stakeholders at some of the largest and fastest-moving companies in AI, so doing this well means coordinating closely across those internal teams and keeping Render's leadership regularly informed. The ideal candidate brings real technical depth in AI and developer tooling, paired with a proven background in partner management, strong relationship-building instincts, and the executive presence to engage with partner leadership at the highest levels. You should have a deep understanding of how to build and scale product-centric partnerships — from ecosystem integrations to platform-level bets — in a fast-moving, technical market. WHAT YOU'LL DO - Map Render's technology partnership landscape across AI labs, hyperscalers, and emerging developer products, and build the strategy for where Render has the strongest right to win. - Own outcomes for the partnerships portfolio — set clear milestones, timelines, and success metrics (e.g., ecosystem integration, developer adoption, joint launches, revenue impact) and hold yourself accountable to them. - Drive day-to-day partnership strategy and execution, taking deals from evaluation through negotiation, launch, and renewal, including commercial terms. - Partner closely with Product, DevRel, and Product Marketing to secure roadmap and staffing commitments, drive integration execution, and run co-marketing — and work with Finance and Legal to structure and manage commercial agreements. - Scope and lead our thinking on building out a Render Marketplace — including the value proposition to customers and key partners, product and engineering requirements, and commercial and financial terms. - Own ongoing relationship management for key partners — acting as their primary point of contact, running business reviews and planning sessions, driving expansion and renewal over time, and serving as their internal advocate at Render. - Bring operating rigor to the program: track and report on partnership performance, maintain clear documentation, and keep leadership updated on progress and upcoming launches. - Build out a team of partner managers as we scale. WHAT WE'RE LOOKING FOR - 6–10+ years of experience in strategic or technical partnerships, business development, or product-facing roles at technology companies — ideally where partnerships were critical during a period of hypergrowth. - A highly technical background is strongly preferred — former PM, forward-deployed engineer, or engineering experience, particularly within AI — so you can go deep with partner engineering and product teams on integration architecture, connectors, and protocols. - Demonstrated success managing and growing complex, high-impact partnerships across AI, cloud, or developer platform ecosystems. - Strong cross-functional operating skills, with experience working alongside Product, Engineering, DevRel, Legal, and Finance to execute complex initiatives. - Exceptional analytical skills, with the ability to use data to drive strategic decisions. - Outstanding communication, negotiation, and relationship-building skills, with the ability to engage at the executive level. - Strong bias for action — comfortable operating both independently and as part of cross-functional teams, in a fast-moving environment with evolving priorities. NICE-TO-HAVES - Hands-on experience with MCP, plugins, connectors, or app/marketplace ecosystems specifically. - Deep familiarity with the developer tools and infrastructure landscape, and a point of view on how emerging AI-native companies find distribution. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr. Principal Engineer, Data & Machine Learning San Mateo, CA Why PlayStation Data & Intelligence PlayStation reaches more than 100+ million people. Behind those experiences is one of the largest consumer data estates in entertainment: tens of petabytes under management and trillions of telemetry events a year, powering personalization, experimentation, partner analytics and enterprise decisions across the company. We are in the middle of a multi-year shift in how that data creates value. Today intelligence often arrives after the moment has passed. Our goal is a connected intelligence layer where trusted context about players, content, partners and the business is built once, reused everywhere, activated at the point of decision, and improved by evidence about what happened next. That includes serving AI models and agents with the same governed meaning, quality and permissions we give to people. This role helps shape how that is built across PlayStation. The Role We are looking for a Senior Principal Engineer, Data & Machine Learning to serve as chief architect for our Data & Intelligence organization and as the senior technical authority for how SIE builds, reuses and activates trusted data and intelligence. This is one of SIE’s most senior individual-contributor roles. You will report directly to the Vice President of the organization, sit on the leadership team alongside the Sr. Directors who run our two delivery portfolios, chair our architecture review forum, and lead a community of Principal Engineers anchored to the major architectural seams. You will have no direct reports by design; your leverage comes from the architecture, the standards and the decisions the whole organization builds against. This is a hands-on role. You will author architectures and reference implementations, prototype uncertain approaches, review the designs and code that matter most, and step in directly when a technical problem puts an important outcome at risk. What You’ll Own You will set the architecture for, and drive reuse across, the initiatives that define the next three years of data and intelligence at PlayStation: A single, reusable understanding of the player. The context, lifecycle and lifetime-value intelligence that powers experiences and decisions across PlayStation, built once and reused rather than rebuilt per use case. Content and game understanding. Intelligence about titles, experiences and how players engage with them, connected through engagement and content graphs to improve discovery, personalization and new AI experiences. Creator and partner intelligence. Reusable title, launch and lifecycle intelligence available to partners at the point of decision, before launch, while live and after. Unified measurement. Experimentation, attribution and causal measurement so the company knows what changed an outcome, by how much, and what to do next. Activation. Real-time signals, activation data products and APIs that deliver trusted context into the systems that personalize and act. Semantic and conversational intelligence. A shared layer of business meaning and metrics that people, analytical tools and AI agents can query and trust. Enterprise decision data. Decision-grade finance and supply-chain data that accelerates transformation programs across SIE. Trusted foundations and golden paths. Data contracts, certification, lineage, unified events and standard publish-to-consume paths, with trust designed into the lifecycle; and launch data readiness so priority launches have their signals and measures from day one. What You’ll Do Translate our multi-year Data & Intelligence strategy into a coherent technical strategy and target architecture, with clear principles for trusted data products, ML systems, shared intelligence, evaluation, activation and lifecycle management. Chair the architecture review forum: set its charter and cadence, publish decisions, track adoption and hold the line on non-conforming designs. Own the boundary decisions between platform capabilities built for reuse and domain delivery, and keep them stable. Define and ratify the standards teams build against: data contracts, golden paths, model evaluation and experimentation, observability, reliability, cost and lifecycle management. Lead the technical direction of our hardest cross-organizational initiatives; author proposals, reference designs and prototypes that establish a credible path from concept to production. Work directly with engineering and data science teams to remove critical blockers, so that decisions become usable capabilities rather than architecture on paper. Partner with security, privacy, legal, governance and responsible-AI teams to embed controls throughout the data and ML lifecycle, including the responsible use of proprietary data, third-party and foundation models, and externally hosted AI services. Identify duplicative capabilities, drive rationalization and retirement, and improve interoperability across SIE’s data and ML landscape. Advise senior executives on major technical investments, tradeoffs, emerging capabilities and long-term risk; produce the written recommendations that drive annual planning. Connect technical investment to named consumers, decisions and measurable outcomes; define how we measure adoption, reuse, time-to-action, quality, reliability, safety and cost. Lead a community of Principal Engineers; mentor Principal, Staff and Senior engineers, architects, ML engineers and data scientists. Represent SIE’s data and machine learning direction in senior leadership forums, partner organizations and, where appropriate, the broader industry. What We’re Looking For 15+ years in software, data or machine learning engineering, including 9+ years leading the architecture and delivery of large-scale, complex systems. A track record of authoring architectures, standards or platforms that were adopted across multiple organizations and stayed in use. Experience taking data, ML or decisioning systems serving tens of millions of consumers into production and operating them at scale. Experience chairing, or being the deciding technical voice in, an architecture review forum spanning multiple engineering organizations. Deep expertise in at least two of: reusable data products, semantic and metadata layers and data contracts; ML platforms, lifecycle management, evaluation and decisioning; real-time signals, distributed inference and activation platforms; experimentation and causal measurement; generative AI, retrieval and agentic systems; responsible AI, privacy and technical governance. Strong command of distributed systems, cloud, data architecture, APIs, security, reliability, observability and performance engineering. Demonstrated ability to influence senior executives, engineering and product leaders, and cross-functional partners without direct authority. Outstanding written communication. This role leads through documents. Experience mentoring Staff, Principal or similarly senior technical professionals. Master’s degree in Computer Science, Machine Learning, Engineering or a related discipline, or equivalent experience. Nice to Have Data and ML applied in gaming, entertainment, media, digital commerce or another large-scale consumer ecosystem. Personalization, recommendations, customer intelligence, content intelligence, experimentation or predictive decisioning at scale. Shared data or ML platforms serving multiple products and organizational domains. Feature, vector, graph, semantic or knowledge platforms; AI gateways and LLMOps. Experience translating research or emerging technology into production capabilities. Contributions to the field through open source, patents, publications, standards or conference talks. Why You’ll Love This Role Set the technical direction for data and intelligence across PlayStation. Own the architecture behind experiences reaching more than 100 million people. Report directly to the VP and sit on the organization’s leadership team. Build once, reuse everywhere: the mandate is to end duplicated work, not add to it. Work with strong Principal and Staff engineers, data scientists and product leaders across the company. Stay hands-on at the most senior IC level. #LI-KS1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $304,200 — $456,200 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: San Francisco 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 Baseten's Compute org is in hyper growth. As it scales, the systems and workflows that keep supply and demand balanced across our GPU fleet need to get more sophisticated, and this role exists to make sure they do. Compute sits at the center of how Baseten allocates, forecasts, and manages the capacity that powers every customer inference request. The team that supports this work, C3, runs on a mix of internal tooling, manual processes, and systems that haven't fully kept pace with the scale of the problem. This role exists to close that gap. You'll design, build, and ship AI-powered workflows that give the Compute and C3 teams real leverage, automating the manual, repetitive, and error-prone parts of the capacity lifecycle so the team can focus on judgment calls that actually need a human. We want someone who can walk in, audit what exists today, identify what's missing or broken, and start shipping fast. You know when to reach for an existing internal tool and when to build something custom in Claude Code. You think two to three steps ahead about how the thing you build today fits into the broader capacity systems architecture tomorrow. And you bring a point of view on our stack, on what we should be building, and on where AI can do something existing tooling simply can't. RESPONSIBILITIES - Ship AI-powered workflows for Compute and C3: build the agents and automations that give capacity analysts, ops leads, and engineers real leverage, off-loading manual and repetitive work like data pipeline cleanup, migration troubleshooting, and capacity investigation. - Get insights in front of the team: turn fleet utilization, allocation, and demand-forecasting data into the dashboards, alerts, and recommendations that C3 and Compute leadership actually act on. A build isn't done until the team is using it. - Audit the stack and generate your own backlog: Compute runs on a mix of tooling with real overlap and real gaps. Walk in with a point of view, identify what's missing or broken, and prioritize without waiting to be handed a roadmap. - Ship team-productivity workflows fast: triage asks from Supply, Demand, and C3, find the low-hanging fruit, and build it. A good week looks like an ops lead asking for something Monday and having it live by Wednesday. - Know when to go custom: not everything belongs in a point-and-click tool. Spin up bespoke AI-powered solutions in Claude Code when the problem calls for it, and make that call with judgment, not default. - Think in systems, not solutions: every workflow you build has upstream and downstream implications across Supply, Demand, and Engineering. Anticipate them, design for them, and don't create technical debt someone else has to unwind six months later. - Integrate third-party APIs and internal systems to sync events and information across disparate tools: ensuring data flows reliably between C3, the CRM, and the systems Compute depends on every day. - Document what you build: if people can't find it, understand it, or trust it, it doesn't matter how well it works. REQUIREMENTS - 3+ years of experience in AI/automation engineering, workflow automation, or a technical operations role, ideally at a high-growth, AI-native infrastructure or B2B company - You've shipped production agents on Vercel. Build custom internal apps and agents on Vercel, with durable workflows and sandboxed execution, so what you ship runs reliably in production instead of as one-off scripts - Genuine fluency with AI coding assistants and agent tooling (Claude Code, Cursor, Codex, or similar) - Direct experience with a CRM or system-of-record platform (Salesforce or similar) - A track record of owning end-to-end AI and automation workflows - Proficiency with integration and automation platforms (n8n, Zapier, Make, Workato, or similar) and a fundamental understanding of APIs and webhooks - Experience in high-growth technology companies, ideally in infrastructure, cloud, or operations-heavy environments NICE TO HAVE - Familiarity with GPU infrastructure, capacity planning, or fleet management concepts - Comfort building reporting and alerting on a data warehouse (BigQuery, Databricks) and BI layer (Sigma, Hex) — not as a data engineer, but as a consumer and builder on top of the data layer - Experience building with agent platforms (Gumloop, n8n, Notion Agents, etc.) and/or agent frameworks (Vercel AI SDK, Claude Agent SDK, Mastra, etc.) - Experience with high-stakes, operationally complex environments where mistakes have real business impact - Challenging work and exposure to the operational core of a fast-scaling AI infrastructure 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: CAN: Vancouver (333 Seymour St) Workplace: Hybrid OUR PURPOSE At Xero, we’re here to supercharge small businesses. By making small business more efficient every day, connecting them with big business technology and empowering a community behind them, their potential is limitless. When that happens, we’re not only helping small business, we’ll be building a stronger economy that can change the world. HOW YOU’LL MAKE AN IMPACT Accounts payable is broken for small businesses. Managing and paying a bill today means stitching together three or four different tools — capturing documents in one place, entering data in another, chasing approvals over email, and making the payment in a bank portal. It is manual, error-prone, and it takes hours every week from people who should be running their business. Xero’s bills and bill payment surface already serves over a million monthly active users globally: small business owners, the employees who keep their books, and professional bookkeepers working across dozens of clients at accounting firms. It runs on a system designed for a pre-agent world. As a Senior Product Manager on Bills, you will own the layer underneath that surface — the API contracts, the data-access model and the permission architecture that decide what a person or an agent is allowed to read, write and pay on a customer’s behalf. That applies inside Bills, and it applies through Xero’s integrations with Claude, Copilot and our open-source MCP server. You will set the vision alongside a principal engineer, argue the customer’s case inside technical decisions, decide what the interface should be, and lead a team of engineers through a replatform that never takes those million users offline. This is not a zero-to-one bet looking for users. The work already has them. What does not exist yet is the architecture underneath accounts payable that makes automated, agent-assisted and human-directed spend coherent, safe and trustworthy. That is the job. Your impact will be measured through customer, operational and commercial outcomes — including automation and straight-through processing rates, bill payment adoption and volume, activation and retention across owner and bookkeeper personas, platform and API reliability, and the pace at which the replatform lands without customer disruption. THE TEAM AND HOW THEY CONNECT You will join the Bills team — 20+ engineers, designers and product managers across Toronto, Vancouver and Pittsburgh — working across core AP workflows, platform APIs, AI experiences and bill payments. The team partners closely with payment and infrastructure vendors, and with cross-functional teams across North America, the UK, Australia and New Zealand. This is a global role, based in Toronto or Vancouver with flexibility to work remotely, and the team comes together in person regularly to collaborate and align on strategy. WHAT YOU’LL DO OWN THE ARCHITECTURE UNDERNEATH PAYMENTS - Develop the vision, strategy and roadmap for the API, data-access and permission layer that underpins bills and bill payments, in partnership with a principal engineer. - Define the contracts, data models and permission scopes that determine what any client — Xero’s own UI, a partner integration, or an AI agent — can read, write, approve and pay. - Decide where authority sits: what a person must confirm, what an agent may do unattended, what requires a second approver, and what can never be automated. - Sequence a replatform of a system serving more than a million monthly active users, with migration paths, dual-running periods and rollback plans that keep customers working throughout. - Own the cost and consequence of changing contracts that other teams and third parties depend on, including versioning, deprecation and breaking-change communication. - Identify opportunities to build reusable capabilities that serve Bills, the wider spend lifecycle and external developers, rather than isolated point solutions. REMOVE TOIL FROM THE END-TO-END ACCOUNTS PAYABLE WORKFLOW - Own products across the complete accounts payable journey: bill capture and understanding, coding and data extraction, approval routing, scheduling, payment execution, reconciliation and exception handling. - Build toward a world where bills arrive, get understood, get approved and get paid with minimal human toil, and where the entire spend lifecycle lives in one place. - Make Bill Pay the default way businesses pay through Xero, scaling bill payments across markets. - Identify valuable and differentiated customer problems, and frame clear solutions that can be tested, validated and delivered incrementally. - Ensure that platform complexity results in simple, understandable customer experiences rather than being passed through to the customer. BUILD FOR MULTIPLE PERSONAS WHOSE INTERESTS CONFLICT - Lead customer research across the distinct user types on this surface: business owners, in-house finance and admin staff, and professional bookkeepers and advisors managing many clients at once. - Design for the tension between them — the owner who wants a bill paid now, the bookkeeper who needs control and auditability, the firm that needs consistency across a client portfolio — and make the trade-off explicit rather than averaging it away. - Partner closely with Design and Engineering to create high-quality experiences across web, mobile and embedded surfaces, as well as programmatic ones. - Use customer data, qualitative insight and market intelligence to inform product strategy, prioritisation and roadmap decisions. SHIP AI AND AGENT CAPABILITIES CUSTOMERS CAN TRUST - Define how AI and agents participate in accounts payable: what they suggest, what they act on, what they escalate, and how the customer stays in control. - Own the quality bar for LLM-powered capabilities — evaluation sets, confidence thresholds, human-in-the-loop design, fallback behaviour and observable failure modes — and hold the line on it before launch. - Prototype your own ideas, including in code, rather than waiting for engineering capacity to test a hypothesis. - Shape how Xero’s accounts payable capabilities are exposed to external agent platforms, including our MCP server and integrations with Claude and Copilot. - Design for an error-intolerant workflow: this product moves real money, and a wrong answer costs a customer real money and real trust. NAVIGATE RISK, COMPLIANCE AND OPERATIONAL COMPLEXITY - Partner with Risk, Compliance, Legal, Security and Operations to build products that meet regulatory, security and operational requirements across markets. - Take responsibility for risks arising from authorisation and access control, financial crime, privacy and responsible data use, data accuracy, regulatory change and service availability. - Account for market-specific gating in payments and money movement — including US money transmission, UK FCA and open banking requirements, and Australian licensing and payment rails — when sequencing launches. - Lead trade-off decisions that balance customer experience, risk exposure, regulatory obligation, technical complexity and commercial outcome. - Treat operational processes, support tooling and exception management as part of the product, not an afterthought — including failed payments, duplicate bills, incorrect approvals, reversals and disputes. DRIVE STRATEGY, EXECUTION AND COMMERCIAL OUTCOMES - Develop and execute roadmaps that align customer needs, AP strategy, platform architecture and Xero’s broader business objectives, including the Melio acquisition and Xero’s North America growth agenda. - Establish clear product goals, success metrics and OKRs, and be accountable for moving them. - Take an active role in annual and quarterly planning, including funding, prioritisation and resourcing discussions. - Lead release and rollout strategy so that changes land safely and iteratively across customer cohorts and markets. - Monitor and interrogate customer, commercial and operational results, and lead interventions where outcomes are not meeting expectations. - Understand the economics of the product, including payment volume, adoption, pricing, processing cost, margin and revenue. - Make clear prioritisation decisions that balance immediate delivery against the long-term evolution of the platform. LEAD THROUGH CROSS-FUNCTIONAL INFLUENCE - Build strong relationships across Product, Engineering, Design, Risk, Compliance, Operations, Finance, Partnerships and Go-to-Market teams. - Create clarity on what is being built, why it matters, how it will work and when it will be delivered. - Hold your own in architecture and design reviews on data models, API contracts and migration sequencing, and bring a position rather than only questions. - Drive decision-making across complex stakeholder groups and act as tie-breaker when consensus cannot be reached. - Represent the products you own in senior leadership, product, architecture and payments forums, and in front of customers and partners. - Mentor and support other Product Managers, raising the standard of platform and AI product expertise across Xero. SUCCESS LOOKS LIKE - Bills arrive, get understood, get approved and get paid in Xero with materially less human effort than they require today. - There is a clear, documented and well-reasoned answer to what an agent is allowed to do with a customer’s money in Xero — and customers and partners trust it. - The API and permission layer underneath accounts payable is coherent, versioned and extensible, and new clients, markets and payment capabilities can be supported without duplication or rework. - The replatform progresses on a sequence the team believes in, with no material disruption to the million-plus customers using the surface every month. - Owners, in-house finance staff and professional bookkeepers each get an experience suited to how they actually work, and you can name the trade-offs you made between them. - AI-powered capabilities ship with defined evaluation criteria, measured quality, understood failure modes and appropriate human control — and improve after launch on evidence. - Bill Pay adoption, payment volume, automation rate, activation and retention are improving, and your contribution to that is clear. - Product risks and dependencies are identified early and managed in partnership with Engineering, Risk, Compliance and Operations. - Stakeholders understand the vision, strategy, roadmap and key trade-offs — and engineers come to you first when a decision needs making. - Other Product Managers are developing through your coaching and knowledge-sharing. - You demonstrate and amplify Xero’s values. WHAT YOU’LL BRING WITH YOU ESSENTIAL EXPERIENCE This role sits below the interface as much as in front of it, and the bar reflects that. You will bring: - Experience shipping below the UI. You have delivered changes to APIs, integration layers or shared services as part of delivering a wider product, and you know what it costs to change a contract other people depend on. Ideally you have owned a public or partner API through a breaking change. - Substantive AI product experience. You have shipped an LLM-powered capability that customers actually used, and you can talk about evaluations, failure modes and confidence thresholds unprompted — including what your product got wrong in production and what you did about it. You use AI aggressively in your own work and prototype in code. - Multi-persona B2B product experience. You have built a workflow serving several distinct user types whose interests conflict, and you can name a specific trade-off you made between two of them. - Error-intolerant domains. You have built products where a mistake costs money or carries regulatory consequence — payments, payroll, tax, treasury, lending, legal or clinical workflows. - Significant product management experience in a software development environment, across the full product lifecycle — typically five or more years in product, or comparable time as a founder, consultant or technical individual contributor in a payments and/or commerce domain. Deep accounts payable, bookkeeping, accounting or finance-team domain experience is a strong advantage but not a requirement, and experience with payment rails, regulatory-gated launches or fintech infrastructure is similarly valuable. Product experience confined to feature delivery on top of an existing platform, without direct involvement in the interfaces, contracts or data models underneath, is unlikely to be enough on its own for this role. PRODUCT LEADERSHIP - A strong track record of addressing customer needs through the innovative use of technology. - Experience developing successful product strategies, roadmaps and long-term plans — setting direction rather than receiving a spec. - Demonstrated ability to operate in technically complex and highly ambiguous environments, and to start before the problem is fully defined. - Strong product judgement and the ability to make decisions with incomplete information. - A track record of owning activation, retention, revenue or an equivalent metric and moving it — you can name the metric, the movement, and the trade-off you made to get it. - Self-direction under ambiguity, with minimal supervision required to define direction and drive outcomes. - Demonstrated ability to influence decisions at all levels of an organisation. TECHNICAL AND COMMERCIAL UNDERSTANDING - Ability to work as a peer with engineers and architects on platform design, APIs, data models, permission and authorisation models, system dependencies and technical trade-offs. - Understanding of migration and replatform sequencing in a live, high-volume system, and of the risks that come with it. - Strong understanding of how AI and agent systems are built and evaluated, including retrieval, tool use, evaluation design and the limits of model reliability. - Ability to translate customer and business needs into clear product requirements and technical specifications. - Understanding of product economics, including volume, cost, margin, pricing and revenue. - Experience evaluating third-party providers and making build, buy or partner decisions. - Familiarity with the regulatory, risk, security and operational considerations involved in moving money. CUSTOMER AND DATA ORIENTATION - Strong experience conducting customer research and converting insight into product decisions. - Ability to identify and clearly articulate complex customer problems — and to talk about users in the plural. - Experience developing MVPs, incremental solutions and experiments that validate product assumptions. - Strong analytical skills, using quantitative and qualitative data to make decisions. - Ability to establish meaningful success criteria and monitor ongoing performance. - Ability to translate complex information for technical, commercial, operational and executive audiences. CROSS-FUNCTIONAL LEADERSHIP - Demonstrated success working with diverse stakeholder groups across multiple engineering teams, geographies and third-party partners. - Ability to lead through influence across Product, Engineering, Design, Risk, Compliance, Operations, Finance and Go-to-Market. - Strong communication, facilitation and stakeholder-management skills, and comfort presenting to executives and to customers. - Ability to navigate difficult decisions, resolve ambiguity and create alignment across teams and geographies. - Willingness to disagree with an engineer, and to be disagreed with, in service of the customer. - Experience mentoring and coaching Product Managers and cross-functional team members. CRITICAL CAPABILITIES Love customer problems - Lead the use of customer research approaches and methodologies to generate meaningful insight across owner, in-house finance and bookkeeper personas. - Clearly define and articulate complex customer problems, including where personas conflict. - Develop incremental solutions and experiments that validate customer and product assumptions. - Ensure that platform and agent complexity results in simple, understandable and trustworthy customer experiences. Look to the future - Develop compelling product strategies and roadmaps that align customer, commercial and platform objectives. - Anticipate how immediate architectural decisions will constrain future agent capabilities, markets, partners and products. - Identify opportunities to create reusable capabilities rather than isolated point solutions. - Explore new technologies, models and business models that change how small businesses manage and pay their bills. Work the Xero way - Lead effective product prioritisation and decision-making. - Establish strong product and delivery practices within the team, without relying on a program manager to hold the plan. - Coordinate across products and teams to deliver end-to-end customer outcomes. - Ship iteratively, learn from outcomes and continuously improve the product. Demonstrate commercial acumen - Understand the markets, customer segments and competitive environment for accounts payable and bill payment. - Balance customer value, platform investment, risk and commercial outcome. - Define success criteria that reflect customer needs and product-market fit. - Use adoption, volume, cost, margin and revenue data to guide product decisions. Do it together - Create alignment across complex and diverse stakeholder groups. - Communicate a clear and compelling product narrative. - Build productive relationships across teams, functions, markets and geographies. - Mentor others and raise the standard of product, platform and AI expertise across Xero. Explore the data - Use data to understand customer behaviour, automation performance and operational outcomes. - Combine insight from customer research, product telemetry, support interactions and market trends. - Translate information into clear recommendations and decisions. - Establish measurement, evaluation and observability as core parts of product development. WHY THIS ROLE Most AI product roles are a bet on a zero-to-one that may never find users. This one is the opposite. More than a million people already do this work in Xero every month, and the mandate is to define how agents get to touch it. Xero has already put the pieces on the table: a US$2.5B acquisition of Melio, an open-source MCP server, a live Claude integration, and a new North America Product and Technology Hub. What does not exist yet is the architecture underneath accounts payable that makes it all coherent. That is what you would own. COMPENSATION & TOTAL REWARDS At Xero, we value the impact and skills you bring to the team. We believe in a Total Package philosophy - ensuring your value is recognized through a holistic lens that includes base salary, performance incentives, and world-class benefits. The expected base salary range for this role is CA$167,400 – CA$209,200. Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: World-class health, wellness, and retirement programs. Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ including Wellbeing days, generous leave, and dedicated professional development budgets. This is a posting for an existing vacancy. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

Location: San Francisco; New York City Perplexity Computer is one of the defining products of the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action, and the Agent Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks. As every major breakthrough in AI models creates new possibilities, the Agent Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, determine where they create real user value, and transform them into reliable, scalable, high quality experiences for both users and agents. This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation. Tech Stack: Python | Go | Rust | PostgreSQL | DynamoDB | AWS | TypeScript WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Evaluate frontier models against real user tasks, identify useful behaviors and failure modes, and turn the most promising advances into production agent systems. Own the lifecycle from rapid prototyping and evaluation through launch, monitoring, and iteration. - Improve agents’ ability to plan, use tools, manage context, recover from errors, and complete long-running tasks reliably. - Apply state of the art ML and LLM techniques to design scalable agent capabilities such as skills, plugins, artifact generation, tools integrate and use, auto-research, and multi-agent collaboration. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for real-world tasks. - Own agent behavior and capabilities end-to-end, from user-facing products and interfaces to backend services. Define offline and online evaluations for task completion, correctness, safety, latency, cost, and user satisfaction. Iteratively improve across models, prompts, harnesses, and products for different problem spaces. - Build secure, observable, and reliable agent systems, including permissions and safeguards for sensitive actions. Develop tracing, replay, and monitoring infrastructure that makes agent failures reproducible and actionable. - Collaborate closely with PM, Data Science, Research, to identify high-impact opportunities in understanding and validating emerging model capabilities, and turn complex agent behaviors into simple, reliable product experiences. - Apply relevant advances in models, inference, evaluation, and agent architecture when they produce measurable improvements in production performance. Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership. QUALIFICATIONS - Typically 6+ years of professional software engineering experience, with a track record of building and owning robust AI-powered, large-scale, user-facing or data-intensive products. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply. - Strong software engineering fundamentals, with experience building and operating AI/ML products, backend services, or distributed systems at scale. - Experience owning the AI product lifecycle, including data analysis, rigorous evaluation, production monitoring, and iterative improvement. Able to define metrics and use production data and user feedback to guide decisions. - Practical experience in one or more relevant areas, such as agent harnesses, tool use, context engineering, model evaluation, browser automation, or long-running task execution. - Strong product judgment and execution: you can translate ambiguous user needs into applied AI or ML problems and ship durable solutions with measurable user impact. - Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors. NICE TO HAVE - Experience with LLM context engineering or harness engineering, experience with subagents, coding assistants, long-running or autonomous task execution. - Deep familiarity with the strengths and limitations of current model families across reasoning, tool use, context management, and long-horizon tasks. - Experience building agent permissions, safeguards, evaluation infrastructure, or production observability systems. - Experience with mid-training, post-training, or reinforcement learning for frontier or open-source models, along with a strong understanding of model strengths and limitations across reasoning, tool use, context management, and long-horizon tasks. - AI/ML research experience demonstrated through publications, open-source contributions, or other meaningful research impact. - Time spent at a fast-growing startup or on a high-ownership engineering team.

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Sentry is looking for an Engineering Manager to lead our Growth team (internally called "Value Discovery") and help expand our product-led business by helping customers discover and get the most out of our platform. At Sentry, we do growth with an explicit bias for customer value. Our experiments are rooted in strong product sense and empathy for developers, not conversion pressure. We never surprise developers with new charges or push features they don't need. In a binary tradeoff between doing good by the customer or good by the business, the customer always wins. You'll collaborate closely with several areas of the business including Product, BizOps, Data, Design, and GTM to identify the moments in a developer's workflow where Sentry can deliver more value, make that value easier to find, and support that your approach works with data. IN THIS ROLE YOU WILL You'll lead a team of engineers, set its priorities, and be accountable for the metrics it moves. This is a new role, and the roadmap is yours to define and execute in partnership with design and data teams. - Lead work across Sentry's self-serve funnel — signup and onboarding, first-run activation moments in-product, trial and upgrade paths, and pricing and billing surfaces in partnership with the Billing team — largely in our Python/Django and TypeScript/React codebase - Evolve our experimentation foundations, in close partnership with our Data team — flagging, instrumentation, and readouts are real but far from finished - Run a fast, disciplined experimentation loop where hypotheses are argued before they're built - Hold conversion and activation alongside churn, support volume, and 90-day retention, and report all of them — including the experiments that come back flat - Grow the engineers on your team, including the underrated skill of doing excellent work on something that might be deleted next week YOU’LL LOVE THIS JOB IF YOU - Believe Growth done well is a form of customer service, not a conversion engine - Would rather ship one well-argued hypothesis than five cheap tests, and can tell the difference before the results come in - Love digging into data to find insights but form your best hypotheses from empathizing with customers - Enjoy the challenge of understanding developer workflows deeply enough to know where and when a change creates value - Want to build the measurement foundation rather than inherit one, and have opinions about what a team should/shouldn't bother instrumenting - Are comfortable being the person who says the result doesn't hold up QUALIFICATIONS - 3+ years managing engineers, including time owning a metric-driven team, on top of a strong engineering background - Technically credible with senior engineers — our EMs engage substantively in architecture and technical decisions, and every EM passes a technical assessment at a senior IC bar - Strong product sense — you identify where a change will create the most value, not just where a metric can be moved - Experience helping users get the most out of a complex product - Working fluency with experimentation frameworks, feature flags, A/B testing, and analytics instrumentation - Able to talk to users credibly about their workflows, tooling, and pain points, with genuine opinions about the developer tools you've used - Bonus: you've worked on growth at a developer tools company, built experimentation infrastructure from a low starting point, or run experiments at volumes where significance wasn't guaranteed The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $220,000 to $450,000. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Canada, Vancouver, BC Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Senior Control Engineer to join our Controls Team in Vancouver, focusing on SW control development and integration of robotic actuators and sensors. You will be responsible for designing, implementing, and validating joint- and actuator-level controllers that deliver high precision, responsiveness, and safety for complex robotic mechanisms. The ideal candidate has a solid background in control theory, strong software engineering skills in C++, and comfort working across the full stack from real-time embedded control up through networking, kinematics/dynamics, and browser-based debugging tooling. You will work closely with other control and hardware engineers to model, tune, and optimize the behavior of real robots and their subsystems (i.e. limbs and end-effectors).   WHAT YOU’LL DO Low-Level Control Development - Tune and validate actuator - and joint-space control loops (PID, feedforward, impedance/admittance, observers, state feedback) for multi-DoF systems in ROS2. - Work across EtherCAT/CAN and Linux networking (TCP/IP, DDS discovery, time sync) to ensure deterministic, safe real-time operation. - Implement safety and fault-handling mechanisms for dynamic conditions. Modeling, Kinematics & System Identification - Build and identify models of actuators, transmissions, and mechanisms — including parallel mechanisms like differential wrists/ankles — for control design and simulation. - Apply rigid body kinematics/dynamics and numerical IK/FK methods; work from URDF/Xacro and MJCF, interpreting mechanical drawings and geometry. Software & Systems Integration - Write real-time-safe, object-oriented C++ (lock-free structures, thread safety) for control and diagnostics. - Design and debug multi-layer control architectures. - Maintain CMake build/dependency tooling and Python test harnesses; build lightweight browser-based tools (HTML/JS/WebSocket) for hardware debugging. Sensor & Hardware Integration - Integrate and calibrate a range of sensors (F/T sensors, tactile sensors, IMUs, etc.) with real-time acquisition and processing across the control stack. - Hands-on hardware bring-up and debugging. Cross-Disciplinary Collaboration - Close the loop with mechanical/electronics engineers across sites on actuation requirements; - Support hardware bring-up, calibration, and performance testing.   WHAT WE'RE LOOKING FOR - M.S. or Ph.D. in Control Engineering, Robotics, Mechanical Engineering, or Electrical Engineering with 5+ years in robotic or mechatronic systems — equivalent practical experience counts. - Shipped real-time-safe, object-oriented C++ control software running on real hardware, in production or a serious research programme. - Tuned and validated controllers on physical actuators, including sensor calibration and bring-up — with a story about something that behaved nothing like the model and what you did about it. - Debugged at the fieldbus and OS layer: EtherCAT (PDO/SDO, timing constraints) or CAN, on an RTOS or real-time Linux. - Strong control theory foundation (linear/nonlinear control, stability, observers, state estimation, feedback/feedforward, filtering, frequency-domain analysis) applied to multi-DoF mechanisms via Jacobians, numerical IK/FK, and URDF/Xacro. PREFERRED QUALIFICATIONS - BLDC motor control (commutation, current control, torque optimization) - ros2_control internals (hardware interfaces, controllers, controller_manager, plugins, lifecycle nodes). - Parallel mechanisms specifically (differential wrist, parallel ankle), robotic hands, or other multi-DoF end-effectors. - System identification toolchains and simulation environments (MATLAB/Simulink, MuJoCo, Gazebo); MJCF. - Experience with dynamic system modeling and simulation at the actuator and transmission level. WHAT WE OFFER - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support. - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

Location: Anywhere in France, Belgium, Spain HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ THE ENGINEERING TEAM ⭐ In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of interactions. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. Want to know more? Read this article https://medium.com/alan/a-new-iteration-of-our-engineering-career-path-at-alan-f46f7b229b2d on our Engineering career path. 🛠️ THE STACK Python/Flask, Typescript, React, React Native on the coding side. AWS, GCP, Kubernetes, PostgreSQL, Redis, Terraform/Terramate, Datadog, Cloudflare, GitHub Actions on the platform side, all in a monorepo. We deploy daily and believe in distributed ownership - you build it, you own it. 🤖 THE INFRA CREW - WITHIN THE TECH FOUNDATIONS AREA 🎯 Mission: - Tech Foundations - enables product crews and creates the environment to thrive, combining world-class infrastructure, intuitive developer experience, exquisite operational excellence, and built-in security to make shipping exceptional products effortless. - Infra - is one of its crews. Its mission: operate and evolve the foundations Alan runs on (multi-cloud infrastructure, data platforms, observability, and the operational practices around them) so that product crews ship safely and quickly, members never feel the platform underneath, and the business can expand to new countries without re-inventing how we run. 🔭 Scope: 1. Cloud foundations & multi-cloud architecture: own and evolve Alan’s cloud footprint, Infrastructure-as-Code stack (Terraform, Terramate), and the architectural decisions enabling international expansion. 2. Data & application platforms: operate and evolve the foundations product crews build on: PostgreSQL/Aurora, our events pipeline, async workloads, and database migration tooling, without leaking complexity into product code. 3. Reliability, observability & on-call: own Alan's platform uptime and latency SLOs end-to-end. Evolve our observability stack (Datadog), the incident response process (Incident.io http://Incident.io), and the shared on-call rotation across the area to keep it sustainable as we scale. 4. Governance & compliance enablement and FinOps: own the cross-cutting concerns no single domain holds, infrastructure cost (FinOps), IAM posture, backup and disaster recovery, exit strategy, with automation and reporting that scales beyond the crew. 5. AI-augmented infrastructure operations: make AI assistants a first-class citizen for incident investigation, runbook execution, and toil reduction, so engineers spend their time on high-leverage work. 👀 Focus for 2026: In 2026, we're growing the team significantly to step up impact across four bets: - Multi-cloud expansion: revisit our cloud strategy as we go international, and launch new geographies. - Decoupling for scale: evolve service architecture to carry Alan 2.0 from 1M members today to 10M. - Operational excellence: raise the quality bar end-to-end by overhauling observability, on-call, and cost management practices. - AI-augmented infra ops: make AI assistants a first-class part of investigation, troubleshooting, and toil reduction, so engineers spend time where leverage is highest. ⭐ IS IT YOU WE’RE LOOKING FOR? EXPERIENCE WE VALUE - 3+ years in Platform engineering, DevOps, Site reliability engineering or equivalent roles. - You have strong experience with cloud platforms (especially AWS or GCP). - You're comfortable writing code for automation and tooling (e.g. API, internal command line, developer portal) and willing to work in Python/Typescript (but you don’t need to have experience with those 2 languages!). - You have touched observability, monitoring, alerting or incident management tools and practices. - You are able to design and implement robust infrastructure systems with a focus on reliability and observability. - You can maintain our uptime targets while optimizing infrastructure costs. - You’ve built and maintained internal or external tooling (e.g. API, web interface, internal command line, configuration as code, etc) for other engineers. MINDSET WE VALUE - You treat infrastructure and platform engineering as product work: engineers & members are your customers, and infrastructure should feel effortless. - You’re hands-on: writing code is the bulk of the job (Python, TypeScript, Terraform). You ship what you write to production yourself, then operate it: rollouts, alerting, on-call, incident response. - You're an enabler: you measure your impact by how fast product crews ship features without ever consulting you. The harder you've worked, the less they have to engage you. - You build reusable patterns: guardrails, libraries, and reliable-by-default abstractions that prevent outages and runaway cost at scale. - You’re fluent in English (French is not required). For this opportunity, we are aiming to hire above C1 level range https://medium.com/alan/a-new-iteration-of-our-engineering-career-path-at-alan-f46f7b229b2d. But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. 🌍 HOW WE WORK - Location: You must be legally eligible to work in France, Belgium, or Spain. - Remote work: We offer remote work flexibility, but we value in-person collaboration 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work #LI-DNP

Location: Remote USA Workplace: Remote Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD As our Senior Site Reliability Engineer II, you’ll step up as the ultimate guardian of reliability across our critical product domains and services. You will architect high-performing platforms, turn complex systems into resilient superpowers, and collaborate directly with engineering leaders to set bulletproof standards. By keeping our systems seamlessly scalable, you directly power the AI-driven learning experiences used by millions around the globe. ⚡ THE DAY-TO-DAY - Master the Domain: Partner with engineering teams to set crystal-clear reliability objectives (SLIs/SLOs) and build long-term reliability roadmaps for core services. - Tackle High-Stakes Incidents: Lead cross-service incident responses during critical outages, guiding teams with confidence and translating chaos into clear, durable solutions. - Architect Resilient Futures: Drive the company-wide adoption of cutting-edge reliability patterns, deployment safety capabilities, and infrastructure scalability. - Elevate Observability: Build and refine advanced observability tools to catch issues before they reach production. - Champion Engineering Balance: Influence product design and system architecture to maintain the ultimate equilibrium between feature velocity and rock-solid reliability. - Empower the Team: Mentor senior engineers, elevate best practices, and play a pivotal role in recruiting top-tier talent to the SRE organization. 🧠 YOUR SUPERPOWERS - Battle-Tested Expertise: Bring 6–10 years of SRE, DevOps, or production engineering experience with hands-on mastery of complex distributed systems. - Cloud Architecture Wizardry: Command cloud infrastructure (AWS preferred), container orchestration, and Infrastructure as Code to keep modern platforms humming. - Engineering Precision: Craft clean, high-performing code in at least one major language alongside a knack for automating away repetitive tasks. - Incident Command Ready: Show a proven track record of steering large-scale incident management and driving high-impact reliability programs. - Cross-Functional Influence: Communicate effortlessly across engineering, product, and customer-facing teams to align tech goals with business impact. 🎁 BONUS POINTS - Next-Gen Automation: Advanced experience designing self-healing infrastructure patterns and zero-downtime deployment pipelines. - Mass-Scale Experience: Prior history scaling multi-tenant SaaS environments in rapid-growth markets. U.S. citizenship is required for this position because its duties require access to restricted federal customer environments that limit access to U.S. citizens. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia If you want to build and own the systems that decide what JetBrains customers are entitled to use and bill them accurately for it, this is for you. You will focus on designing backend services, keeping complex commercial flows correct, and tackling hard distributed systems challenges on the critical path of every paid request. About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. What you’ll do At JetBrains, the Cloud Platform department builds the underlying infrastructure that powers authentication, paid capabilities, usage metering, and accounting. Within this department, the Licensing & Billing team sits right at the center of our commercial model, turning what a customer buys into what they are actually allowed to use, and accounting for that consumption accurately enough to bill on. The complexity of our entitlement, quota, and metering systems continues to grow. In this role, you will own the correctness and evolution of these backend services, take full ownership of end-to-end data flows, tackle distributed consistency across unreliable upstream systems, and ensure revenue-affecting data migrations happen cleanly without taking services offline. Day to day, you will: Design, build, and operate backend services that decide what a customer is entitled to and what their usage costs. Own flows end to end, from ingesting licensing and purchase data from upstream systems to enforcing quotas and recording consumption. Evolve our domain model to handle new commercial structures, combining seat-based plans and usage-based models. Design integrations with external systems, ensuring correctness through idempotency, ordering, reconciliation, and eventual consistency. Plan and execute live data migrations using feature flags, dual writes, backfills, and verification at every stage. Build observability into our systems by defining invariants, metrics, and alerts to catch silent divergence before customers do. Design internal APIs with explicit focus on versioning, backward compatibility, and developer experience for other JetBrains teams. Improve system performance and reliability under continuous production load while decommissioning legacy subsystems. Write integration tests against real dependencies and maintain reliable test infrastructure. Investigate production incidents, find root causes, and follow through on lasting fixes. What you’ll bring An engineer’s dedication to accuracy, especially in domains where system errors have direct financial impact. Pragmatic judgment when designing distributed systems where correctness under unreliable delivery is the main constraint. A habit of trusting metrics, traces, and logs to understand production behavior rather than relying on assumptions. Comfort navigating and simplifying large existing codebases containing legacy decisions. Clear, direct communication skills to agree on API contracts across teams with different priorities. A focus on testing as an essential design tool rather than an afterthought. What you’ll need A proven track record of building and operating backend services on the JVM platform using Kotlin or Java. A solid working knowledge of relational databases, including transactions, isolation levels, locking, indexing, and live schema migrations (PostgreSQL preferred). A deep understanding of distributed systems patterns, such as idempotency, retry strategies, eventual consistency, and data reconciliation. Practical experience making live data migrations or system changes without downtime using feature flags and staged rollouts. Experience designing versioned, backward-compatible APIs for other engineering teams. Hands-on experience with event-driven architectures and message brokers like Kafka. The ability to diagnose, debug, and resolve production incidents in complex environments. Proficiency in both written and spoken English. What success looks like Success in this role means building a bulletproof entitlement and metering foundation that product teams can trust without hesitation. You will have successfully migrated live commercial systems to support new billing models without downtime or data divergence. Silent errors will be caught automatically by system invariants before affecting users, and internal teams will integrate seamlessly with your clean, versioned APIs. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work location. Enjoy the freedom to work from home or from the office. Remote work. Spend up to 30 days per year working remotely from abroad. Extra time off. More days to relax, recharge, and do the things you love. Medical insurance allowance. Enjoy peace of mind for you and your family Learning and development opportunities. Access to conferences, courses, and language classes. Relocation support. We help make your move as smooth and stress-free as possible. (keep if relevant for the role) Language classes. Pick up the local language or sharpen your English skills. Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. Mental health support. To help you feel your best, we provide easy access to professional mental health services. Sports benefit. Enjoy an on-site gym or sports club stipend. Internal events. Join company-wide celebrations and team gatherings. *Some benefits may vary depending on location. #LI-KT1 We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: București, Romania Workplace: hybrid About us EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide. But that's not all! We're not just about numbers, we're about people. With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're all united by our love for innovation and teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time. About UXMatrix UXMatrix develops a broad range of digital products, including bespoke frontend applications, reusable templates, widgets, APIs, automated quality-assurance solutions, and a fully customizable WordPress-based CMS. Our products serve multiple operators, brands, and regulated markets, requiring us to balance customer needs, end-user experience, technical scalability, regulatory requirements, and commercial value. About the Role We are looking for a Sportsbook Product Owner to join the UXMatrix Product Team and take ownership of the development and continuous improvement of our sportsbook frontend experience. You will define what should be built and why, translating customer, market, and business needs into clear product outcomes and actionable requirements for the development team. You will work closely with design, engineering, QA, delivery, sportsbook platform teams, commercial stakeholders, and operators throughout the complete product lifecycle—from discovery and definition through delivery, launch, measurement, and optimization. The ideal candidate combines strong product thinking with an understanding of sportsbook user journeys, frontend technology, data, and agile delivery. You should be comfortable making decisions, challenging assumptions, managing competing priorities, and maintaining a clear product direction in a fast-paced environment. What You'll get to do: Product Vision and Strategy Define and communicate the product vision, strategy, objectives, and roadmap for the sportsbook frontend. Translate company strategy, operator requirements, market trends, and end-user needs into clear product priorities. Identify opportunities to improve sportsbook acquisition, engagement, conversion, retention, and overall user experience. Balance reusable product capabilities with operator-specific and market-specific requirements. Contribute to the long-term evolution of the sportsbook product, including personalization, modularity, scalability, and multi-tenant capabilities. Clearly articulate the business and customer value behind proposed initiatives. Product Discovery and Requirements Work with operators, commercial teams, internal stakeholders, and end users to identify problems, needs, and product opportunities. Analyze sportsbook journeys such as event discovery, navigation, search, market selection, bet placement, betslip usage, live betting, promotions, and bet management. Convert business needs into clear product requirements, user stories, acceptance criteria, process flows, and functional specifications. Break down complex initiatives into manageable and independently deliverable increments. Validate requirements with design, engineering, QA, platform teams, and relevant stakeholders before development begins. Ensure regulatory, responsible-gambling, accessibility, localization, and market-specific requirements are considered during product definition. Maintain complete, accurate, and accessible product documentation in Jira and Confluence. Roadmap and Prioritization Own and continuously maintain the product backlog. Prioritize initiatives and backlog items based on customer value, user impact, commercial potential, strategic alignment, risk, effort, and technical dependencies. Define minimum viable product scope and phased-delivery approaches for larger initiatives. Manage scope throughout the delivery lifecycle and ensure material changes are assessed, documented, and agreed with the appropriate stakeholders. Balance new product development, operator requirements, technical improvements, defects, and technical-debt reduction. Make clear prioritization decisions when capacity or timelines are constrained. Agile Delivery Work closely with engineering, design, and QA throughout planning, refinement, development, testing, and release. Ensure the development team understands the product objectives, user needs, requirements, and expected outcomes. Lead or actively contribute to backlog refinement, sprint planning, reviews, and relevant product workshops. Provide timely clarification and make product decisions during development. Identify dependencies, risks, and blockers early and collaborate with the appropriate owners to resolve them. Accept completed work based on agreed requirements and acceptance criteria. Support release planning and ensure features are ready from a product, operational, documentation, and stakeholder perspective. Maintain delivery transparency and communicate progress, risks, scope changes, and decisions clearly. Stakeholder and Client Management Act as the primary product contact for assigned sportsbook initiatives. Build strong working relationships with operators, sportsbook platform teams, commercial stakeholders, engineering, UX, QA, delivery, and senior management. Facilitate product workshops, requirement-gathering sessions, demonstrations, and roadmap discussions. Set clear expectations regarding product scope, priorities, dependencies, and delivery assumptions. Evaluate stakeholder requests objectively and challenge solutions that do not support the product strategy or provide sufficient customer value. Present recommendations using evidence, product data, competitive analysis, and clearly structured business arguments. Support client presentations, product demonstrations, sales opportunities, and RFP responses when required. Product Performance and Continuous Improvement Define success criteria and measurable KPIs for new features and product initiatives. Monitor sportsbook metrics such as event-to-bet conversion, betslip completion, bet placement success, click-through rates, engagement, bet frequency, retention, and feature adoption. Use quantitative data, qualitative feedback, user research, and operational insights to evaluate product performance. Review delivered features after launch and identify opportunities for optimization. Work with UX and analytics teams to identify friction, abandonment points, usability issues, and unmet customer needs. Maintain awareness of sportsbook market developments, competitor products, user-experience patterns, and emerging technologies. Conduct competitor and feature-comparison analysis to identify meaningful product differentiators. Propose improvements that strengthen the UXMatrix sportsbook proposition and create measurable value for EveryMatrix clients. What we’re looking for: At least three years of experience in product ownership, product management, business analysis, or a comparable digital-product role. Experience in iGaming. Experience working with cross-functional software-development teams in an agile environment. Strong ability to translate business and user needs into clear, structured, and testable product requirements. Demonstrated experience managing product backlogs, priorities, scope, dependencies, and stakeholder expectations. Strong analytical and problem-solving skills, with the ability to make evidence-based product decisions. Excellent written and verbal communication skills. Confidence presenting product recommendations and reasoning with technical, commercial, and senior stakeholders. Strong organizational skills and the ability to manage multiple initiatives and competing priorities. Ability to understand technical concepts, frontend architecture, APIs, integrations, and platform dependencies at a product level. Experience using Jira, Confluence, or equivalent product and delivery-management tools. Professional proficiency in English. A degree in technology, economics, business, or a related discipline. What Success Looks Like Success in this role means establishing a clear and evidence-based direction for the sportsbook frontend, maintaining a well-prioritized and delivery-ready backlog, improving collaboration between product and engineering, and delivering measurable improvements for operators and sportsbook users. You will be expected to create alignment around what we build, why we build it, and how we determine whether it has been successful. Here's what we offer: Start with 22 days of annual leave, with 2 additional days added each year, up to 32 days by your fifth year with us. Benefit from two Free Fridays each year, limited to one per quarter. 3 sick leave days per year, no doctor's note required. Daily catered lunch or monthly lunch allowance. Private Medical Subscription. Access online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training. Access to an Employee Assistance Program through TELUS Health. Our office perks include parking, on-site massages, and frequent team-building activities in various locations. And did we mention our amazing office space complete with its own pool and gym? At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference! EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Docker is launching a Professional Services organization to accelerate customer success, reduce time-to-value, and drive enterprise adoption for agentic workloads. As a Principal Solution Architect, you'll play a critical role in building and scaling this function. You will join a team of seasoned experts with deep experience backed by Docker's unmatched reach across Fortune 500 companies. This is a high-visibility role working directly with senior leadership across revenue, product, marketing, and partner organizations. You'll shape service strategy, drive cross-functional alignment, and deliver offerings that accelerate both services revenue and platform expansion. You'll serve as a trusted advisor to our largest and most strategic partners and enterprise customers, providing thought leadership on integrating Docker agentic solutions within enterprise environments. RESPONSIBILITIES Build and Scale the Professional Services Practice - Develop and codify repeatable reference architecture patterns across Docker's core use cases including self-hosted and air-gapped deployments, MCP (model context protocol)/AI agent environments, IDP integrations, and secure supply chain workflows so that engagements scale consistently across customers and partners. - Translate reference architectures into customer-facing technical collateral, SOW templates, and success patterns that reduce scoping time and improve delivery consistency. - Collaborate with product, marketing, and revenue teams to integrate services into GTM motions and align delivery to Docker's AI platform roadmap. - Identify offerings that drive product expansion, renewals, and long-term customer value. - Support Partnerships & Alliances in selecting, onboarding, and enabling technical integration partners, system integrators (SIs), and service delivery partners. Drive Strategic Customer Outcomes - Act as a trusted advisor to enterprise customers, helping them adopt modern patterns for containerization, AI workflows, and secure software supply chains. - Lead technical discovery and architecture engagements that span enterprise integration layers - Architect and deliver self-hosted Docker deployments within air-gapped, regulated, and complex enterprise environments including local image registry setup, offline toolchain configuration, and compliance-driven infrastructure design. - Design and Guide customers through implementation of agentic AI toolchains, including MCP server/client architecture, tool orchestration, observability integration and secure deployment patterns aligned to Docker's AI platform. - Position Docker as a strategic and thought leadership partner, influencing long-term technology adoption and investment decisions. - Directly deliver or assign and oversee appropriate delivery partners to execute service engagements and ensure technical objectives are met. Enable Cross-Functional Success - Drive alignment and decision-making across multiple stakeholders and teams without direct reporting lines. - Translate field insights including enterprise integration patterns, IDP/SSO friction points, observability gaps, and AI deployment challenges into actionable product and services strategy, roadmap, and partner capabilities. QUALIFICATIONS REQUIRED - 7+ years as a Professional Services Solution Architect, Technical Consultant, or similar role at a SaaS/infrastructure company or consulting firm. - Demonstrated experience architecting and deploying self-hosted and air-gapped deployment architectures: local image registries, offline toolchain configuration, network-isolated Kubernetes clusters, and compliance-driven infrastructure constraints common in regulated industries. - Enterprise integration experience across Identity Providers (Okta, Azure AD, LDAP/Active Directory) and federated identity protocols (OIDC, SAML, SSO), including RBAC design within complex, multi-tenant enterprise environments. - Working knowledge of Model Context Protocol (MCP) and its application to agentic AI toolchains including MCP server/client architecture, tool and resource orchestration, and secure containerized deployment patterns. - Hands-on experience with AI/ML workflows, LLM deployment, and agentic AI architectures in enterprise environments with awareness of Docker's AI platform roadmap including AI agent containerization, model provenance, and AI supply chain security. - Deep understanding of container and software supply chain security: Docker Hardened Images (DHI), Secure Supply Chain (SSC), SBOM generation, image signing and attestation, vulnerability management, and runtime governance. - Excellent facilitation and stakeholder management skills; able to lead executive-level architecture conversations and influence senior stakeholders without formal authority. - Direct experience delivering high-quality services engagements that achieve customer value while meeting revenue and ARR growth targets within a revenue organization. - Recognition by enterprise customers as a strategic technical advisor. BONUS - Experience architecting AI platforms in large enterprise environments LLM deployment pipelines, model provenance, artifact signing, and secure AI supply chain patterns. - Background enabling system integrators, consultancies, or partner ecosystems. - Consulting experience with Fortune 500 clients in highly regulated sectors such as financial services, healthcare, or government. - Led AI security architecture engagements that addressed model provenance, artifact signing, and supply chain integrity for containerized AI workloads including secure MCP server deployment, tool and resource access controls, secrets management within agentic pipelines, and runtime isolation patterns for LLM-based applications. WHAT TO EXPECT FIRST 30 DAYS - Onboard to Docker's mission, values, and operating model. - Deeply familiarize yourself with our product portfolio, AI platform roadmap, and strategic customers. - Build strong partnerships with Product, Engineering, and Sales functions. - Plug into the team's rhythm of business (standups, reviews, shadow customer engagements). FIRST 90 DAYS - Scope, define SOWs, delivery, and oversight of customer service engagements. - Participate in the creation of reference architectures for key use cases.. - Participate in initiatives to build out and improve the services department's offerings. ONE-YEAR OUTLOOK - Successful delivery and oversight of customer service engagements. - Contribute materially to the build-out of Docker's service offerings across AI, security, and enterprise integration practices. - Institutionalize continuous improvement by providing field feedback including enterprise integration patterns, deployment blockers, and observability gaps to the product team. Docker does not offer visa sponsorship for this role.   Compensation & Equity Canada: CA$238,000– CA$340,000 + equity United States: $171,500 – $245,00 + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Canada Workplace: Remote ABOUT THE TEAM The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists. WHAT YOU WILL DO - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - UI/UX Implementation: Build responsive, intuitive user interfaces that make complex AI functionalities accessible and valuable to users of all technical backgrounds. WHAT YOU WILL BRING ALONG - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - A high level of ownership and can drive features from concept to production with minimal supervision - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders - Strong frontend skills with TypeScript/JavaScript and React Nice to have - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus - Experience building data-oriented interfaces and visualizations PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Brazil; Peru; Sweden; Colombia; Argentina; Romania; Malta; Slovenia; Lithuania; Czech Republic; Estonia; Hungary; Mexico; Chile; Poland; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Pro Verifications team decides whether a business signing up on the Pro side is who it says it is, and whether we're allowed to onboard it. That means figuring out who actually owns the business, running it against sanctions and watchlists, and doing all of it fast enough that a real customer doesn't lose patience and leave. Every Pro customer hits these systems, so slow or wrong is very visible — and the team is early, which means whoever joins gets to decide how a lot of it works instead of inheriting it. How We Work - We deploy constantly, almost always behind a flag, in pieces small enough to pull back fast. - Security and compliance show up at design time, not as a gate at the end. - Every story is tied to a metric it's meant to move — if work isn't on the board, it doesn't get staffed. - At this level, you're expected to shape these standards, not just work inside them.   THE OPPORTUNITY As a Staff Engineer on Pro Verifications, you'll own the technical direction for how verification is built here — the architecture, the patterns other engineers work inside, and the calls about what we own versus what we lean on a vendor for. You'll be hands-on across the stack, drive out entire classes of recurring failure rather than patching them one at a time, and design the fail-closed and audit behavior that keeps regulators satisfied. This is a high-impact, hands-on technical leadership role for engineers who've built where being wrong has real consequences, and who want to shape a system that stays fast, safe, and defensible as it grows. - Set the shape of the verification services and their contracts across the KYC/KYB flow. - Decide how we abstract KYC and KYB vendors so a bad provider day doesn't turn into an outage. - Design fail-closed behavior and audit trails that hold up under regulatory scrutiny. - Identify the classes of failure that keep recurring and remove them for good. - Write and drive architecture decisions (ADRs), and hold the line on security and compliance at design time, not as a late gate. - Mentor and raise the bar for senior engineers through design reviews, code, and direct feedback. - Be measured on whether verification gets faster, more of it decides itself, fewer decisions are wrong, and the systems stay up — and on whether the team got stronger for you being on it.   WHAT YOU BRING - Around eight years building and running production systems, with a track record of owning a domain's technical direction, not just delivering inside one. - Deep, fluent expertise in Rust, with the versatility to work across TypeScript and React where verification meets the customer. - You've set architecture other people build on, and it held up — you can point to specific classes of failure you designed out, not just incidents you fixed. - You've made teams faster through patterns, tooling, or mentoring — engineers around you got better and shipped more because of calls you made. - You've built where being wrong had real consequences: compliance, payments, security, or anywhere a bad call costs more than a rough user experience. - Strong on distributed systems, service contracts, and secure design — you've integrated third-party APIs that couldn't be trusted, with real timeouts, retries, idempotency, circuit breakers, and backup paths that actually get tested. - Comfortable with, or able to quickly ramp on, gRPC, Temporal, Docker, Kubernetes, Terraform, MySQL/MariaDB, Redis, and GitLab CI.   NICE TO HAVES - Direct experience with KYC, KYB, or fraud work, including integrating providers like Trulioo, Persona, or ComplyAdvantage. - Comfort building with AI in the loop. - Time spent in crypto, fintech, or another space regulators pay close attention to.         Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Spain Workplace: Remote ABOUT THE TEAM The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists. WHAT YOU WILL DO - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - Developer Experience: Design and implement developer tools, SDKs, and documentation that enable users to leverage ClickHouse’s AI/ML capabilities. WHAT YOU WILL BRING ALONG - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - Backend development experience in TypeScript or Python, with a focus on API design and service architecture - A high level of ownership and can drive features from concept to production with minimal supervision - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders Nice to have - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: United States As a Blockchain Engineer at Ondo, you will help design our smart contract systems - not just the contracts themselves, but how they're deployed, secured, monitored, and managed across their entire lifetime, and how they connect to the people and products that depend on them. You'll design secure, efficient, and scalable smart contract solutions across many blockchain ecosystems powering Real World Asset (RWA) tokenization. But the harder and more important part of this role is everything around the contract: keeping it secure from deploy through every day it's live, building tooling that lets non-technical teammates safely view and manage on-chain state, and creating automated systems that take manual, error-prone work off the table. You'll think about how a smart contract design decision ripples outward, to the web app, to the teams operating the system day to day, and ultimately to our end users. You'll collaborate with product, legal, compliance, web, and ops to make sure contracts are technically sound, regulatorily aligned, and genuinely operable by the teams who rely on them day to day. Throughout, you'll favor simple, elegant designs that let us move quickly and safely. This is a unique opportunity to shape the future of finance by building the systems that bring real-world assets on-chain, and by making those systems something a whole organization can build on with confidence. Responsibilities Smart Contract System Design : Contribute to the architecture of smart contract systems for Ondo's evolving product suite — covering new chain deployments, novel DeFi interoperability and bridging solutions, and DeFi protocols — with security, operability, and long-term maintainability designed in from the start. Lifecycle Security & Operations: Help ensure contract security not just at deploy but across the full lifetime of the system — including upgrade safety, administrative controls, and the operational guardrails that keep things safe as they evolve. Tooling & Automation: Build tooling and automated systems that let non-technical teammates safely view, monitor, and manage contracts without writing scripts or touching raw chain operations directly. Cross-Functional Integration: Connect smart contract design to the rest of the product — helping the web team integrate cleanly, helping operational teams monitor and manage without direct scripting, and ensuring design decisions flow sensibly through to end users. Collaborative Execution: Work closely with senior engineers and leadership on high-impact blockchain projects, contributing sound technical decisions aligned with long-term goals. Requirements Based in PT, MT, CT, or ET time zones. Excellent technical and non-technical communication skills, verbal and written. Bachelor's degree in Computer Science, Engineering, or a related technical field. 3+ years of software engineering experience. 1+ years in blockchain engineering, ideally from another DeFi protocol live on multiple chains. Strong competency with Solidity; exposure to non-EVM smart contract languages a plus — particularly Solana. Demonstrated ability to design systems , not just contracts — including tooling, automation, security across the contract lifecycle, and the integration points between contracts, applications, and operational teams. Proven results building and scaling a DeFi protocol. Python and/or TypeScript experience preferred (for building tooling and automation). Strong technical grasp and excellent judgment on task prioritization. Strong emphasis on understanding the "why" behind requirements and a commitment to defining the "minimum scope." What we offer Competitive compensation including salary, future token rights, and/or equity (according to your preferences) — we're well-funded and believe that great talent deserves great compensation. Full benefits (medical, vision, and dental) and flexible vacation policy (PTO). Small remote-first team across many countries — you'll be an early team member helping shape our vision, culture, and design practices. A+ colleagues — our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Circle, Uniswap. Best-in-class investors — we are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures.

Location: Sydney 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. ROLE SUMMARY   As a AI Deployment Strategist, you will bridge the gap between vision and execution, ensuring our customers not only see the potential of AI but realize its value in their operations. This role is a unique blend of strategic advisory and hands-on deployment leadership, spanning both presales and postsales phases. You will act as a trusted advisor to C-suite executives, architecting AI solutions that drive transformation and delivering measurable business outcomes.   You will be embedded in our most strategic accounts, diagnosing business challenges, designing AI-powered solutions, and leading their deployment from concept to full-scale adoption. This role demands a rare combination of executive presence, technical credibility, and commercial acumen, with a focus on both winning and delivering high-impact AI initiatives.   WHAT YOU WILL DO   Strategic Advisory & C-Suite Partnership • Serve as the lead strategic advisor for a portfolio of high-value enterprise clients, building trusted relationships with executive leadership (CEO, CTO, CIO). • Lead C-suite workshops to diagnose business drivers and co-create multi-year AI transformation roadmaps aligned with corporate strategy. • Develop and present compelling business cases and proposals, articulating the ROI of AI adoption and the value of Mistral’s platform.   Presales: Shaping the Vision • Partner with sales and product teams to identify and qualify opportunities, positioning Mistral’s solutions as the catalyst for enterprise transformation. • Design tailored AI strategies and proof-of-concepts that address critical business challenges and demonstrate tangible value. • Act as a subject matter expert in client engagements, ensuring our solutions are understood, trusted, and adopted.   Postsales: Driving Deployment & Adoption • Own the end-to-end success of AI deployments, from strategic planning to operational integration, ensuring solutions are embedded into the customer’s core workflows. • Lead cross-functional teams of engineers, data scientists, and product managers to execute deployment roadmaps and deliver measurable results. • Navigate organizational complexity and drive change management to ensure seamless adoption and long-term success.   Commercial Growth & Thought Leadership • Identify and cultivate expansion opportunities within accounts, connecting Mistral’s capabilities to new business challenges and driving commercial growth. • Mentor junior strategists and contribute to the development of best practices, methodologies, and playbooks for customer engagement. • Represent Mistral AI as a thought leader through speaking engagements, executive briefings, and industry contributions.     ABOUT YOU   • You have 8+ years of experience in technical management consulting, enterprise technology, or a customer-facing strategic role, with a focus on AI/ML, data architecture, or digital transformation. • You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.) • You possess a deep, practical expertise in AI/ML concepts, enterprise data architecture, and modern software development with hands-on development of AI solutions—enough to credibly engage with technical teams and executives alike. • You have a proven track record of engaging and influencing C-suite executives, with the ability to navigate complex conversations and align AI strategies with business objectives. • You excel at structuring ambiguous problems into actionable programs and thrive in fast-paced, high-stakes environments. • You are equally comfortable in presales and postsales: shaping deals, designing solutions, and ensuring their successful deployment. • You have experience managing high-value accounts, understanding deal mechanics, and building compelling cases for investment. • You are a collaborative leader who can motivate cross-functional teams and drive results through influence, not authority. • You are open to frequent travel as the role demands   We are looking for adaptable, low-ego team players who are passionate about turning AI vision into reality and delivering transformative impact for our customers.     HIRING PROCESS   • Talent Acquisition screening call • 30min Hiring Manager Interview • 45min Business Acumen Interview • 60min Technical Deep Dive on LLMs • Panel (Home Prep & Restitution) • 30min Value Talk • Reference check   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.