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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: 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 This is a sourcing-first role, not a deal-closing role. Baseten needs someone who can build and maintain deep relationships across the long tail of data center and powered land providers, well beyond the handful of large, well-known players that everyone in the market is already competing for. This coverage area is a key differentiator for Baseten's broader compute strategy, so we're looking for the best possible person in this specific lane rather than a generalist. You'll own the full lifecycle of a sourcing relationship — from first outreach to ongoing management — not just the introduction. WHAT YOU'LL DO - Build and maintain a comprehensive map of data center and powered land opportunities, with a particular focus on the long tail rather than the handful of major, oversubscribed players - Own the full sourcing lifecycle for each relationship — from identifying and reaching out to new providers, through negotiation support, to ongoing relationship management — not just the initial introduction - Develop and manage sourcing relationships across neoclouds, hyperscalers, brokers, and independent operators - Quickly and independently evaluate new sites and spaces to determine fit and priority - Prepare business cases and cost analysis to support new data center and powered land opportunities, partnering with Finance where needed - Maintain accurate records of suppliers, contracts, and commercial terms so the team has a reliable source of truth - Protect Baseten's standing relationships carefully — this role requires real judgment about not burning bridges with the very providers we depend on elsewhere - Feed market intelligence back into the broader Supply team, including regular updates on pricing and market developments, to support deal strategy and prioritization WHAT WE ARE LOOKING FOR - A sourcer at heart, not a dealmaker — someone who thrives on building and maintaining a large network of long-tail relationships rather than closing individual transactions - Strong project management instincts — you own the full lifecycle of a relationship, not just the handshake - Background in neocloud, hyperscaler, or brokerage environments where data center or land sourcing was part of the role - Ability to independently assess and prioritize opportunities without heavy hand-holding - Comfortable with commercial analysis — building business cases, tracking costs, and engaging in contract-level conversations with suppliers - Judgment and discretion in relationship management, given the sensitivity of sourcing from providers Baseten also depends on in other contexts NICE TO HAVE - Existing relationships across the data center and powered land brokerage community - Familiarity with the broader GPU/compute supply landscape and how it intersects with power and site availability - Experience managing supplier contracts or commercial records across multiple vendors or regions 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: 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 This role owns Baseten's relationships and market intelligence across hyperscalers and strategic neoclouds, including NVIDIA cloud partners. This is a technical and commercial role in equal measure: you'll evaluate capacity from the GPU to the data center, negotiate cost and terms with suppliers, and stay close enough to the market to develop and defend a real point of view on where it's heading. Given current market conditions, Baseten needs a much stronger pulse on this part of the market so we can track pricing, stay close to the right relationships, and move fast the moment more capacity is needed. This is a senior, experienced hire who will also help pair with and develop 1-2 junior to mid-level teammates covering the same space. WHAT YOU'LL DO - Build and maintain deep relationships across hyperscalers and strategic neoclouds (including NVIDIA cloud partners), working each organization from top to bottom rather than a single point of contact - Maintain a consistent, "top of mind" presence with key accounts so Baseten is positioned to move quickly when capacity needs arise - Evaluate capacity from the GPU to the data center — hardware generation, rack and node configuration, interconnect, power density, and cooling — so you know what a configuration will actually deliver, not just what the spec sheet claims - Live in compute pricing daily: track rates by GPU generation, region, and contract term to keep Baseten informed and competitive - Partner with the Deals function to negotiate terms — capacity commitments, deposits and payment timing, SLAs, and remedies — and bring agreements to close - Build and defend a view on where the hyperscaler and neocloud market is heading — supply coming online, platform transitions, and regional or policy shifts — and turn it into concrete relationship and sourcing decisions - Help mentor and pair with 1-2 junior to mid-level teammates building coverage in this same space WHAT WE'RE LOOKING FOR - A relationship-builder with a strategic mindset — this is not an enterprise sales role, and we're specifically not looking for a traditional seller's approach - Enough technical fluency with GPUs, racks, and data center infrastructure to evaluate what a supplier is actually offering, not just take their word for it - Market instinct — you follow pricing closely, form independent views, and can explain why a rate moved and what it implies going forward - Commercial judgment — comfortable with unit economics and contract structure, and know when a price implies something is wrong - Experience building and sustaining multi-level relationships within large, complex organizations - Strong judgment on when and how to escalate relationships to senior leadership for maximum impact NICE TO HAVE - Existing relationships within hyperscalers or major neocloud providers, including NVIDIA cloud partners - NVIDIA or OEM allocation relationships — experience managing allocation, forecasting, or partner standing directly with a chip vendor or tier-1 OEM - Comfort traveling to evaluate sites and infrastructure in person - Experience in a compute, GPU marketplace, or infrastructure-adjacent relationship or business development role 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: 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: Mississauga, Ontario Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare. With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.  At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey. Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn. **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings. For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Key Responsibilities: Conduct Case Analysis to determine action plan and ensure compliance. Review and interpret MSA terms and conditions and apply changes in accordance with customer contractual obligation. Specific focus on large accounts that require multiple layers of data analysis with a high degree of accuracy, a clear understanding of transactional changes that may have affected subscriptions (such as P&P Migration) and presenting data clearly to key stakeholders. Prepare reports to analyze account subscriptions and perform complex account reconciliations. Process financial transactions in both Salesforce and NetSuite. Resolve billing disputes, process subscription corrections, perform product cancellations, customer subscription termination and all related subscription management changes. Prepare credit analysis and rationale for Management approval in accordance with company credit policy. Create credit memos, process Re-Bills, and deliver to customer. Identify, analyze, and interpret billing anomalies, process amendments while working closely with relevant business partners (Customer Success and Professional Services) Effectively communicate with business partners to facilitate various aspects of the subscription management process and changes. Ad hoc analysis around company initiatives such as Single Source of Truth (SSOT) and Data governance; provide meaningful explanation of variances to the teams building logic in the back-end systems Required Skills & Qualifications: A minimum of 2-3 years’ experience in a combination of finance and operational environment, process improvement, financial analysis or other roles that focus on root cause analysis and controls. Knowledge of subscription-based billing model in SaaS based environment is a plus. Advanced Microsoft Office and Power Point skills. Strong understanding of “Quote-to-Cash” meaning products, pricing, discounting, quoting, booking, order fulfillment, MSA, billing, amendments, and renewals. Candidates must demonstrate a combination of academic aptitude, problem solving, strategic and critical thinking, and strong written and oral communications skills Strong analytical and organizational skills. Comfortable with large volumes of complex data from various source systems and presenting findings to senior management. Strong work ethic with the ability to manage tight deadlines, prioritize workload and achieve effective results in a fast-paced, dynamic, ever-growing environment. Ability to manage multiple cases and projects at once. It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment. When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com  PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The Canada base hourly range for this position is $26.44 - $29.81 ($55,000 - $62,000), overtime eligible. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all Canada locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

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 As a member of the Capacity Strategy & Operations team, you will sit at the intersection of supply intelligence, demand forecasting, and cross-functional execution, turning a complex, fast-moving hardware market into a predictable, reliable foundation for our customers and internal engineering teams. This is not a purely analytical role. You will own the end-to-end capacity planning process: from translating customer commitments and growth forecasts into concrete supply requirements, to coordinating fulfillment across vendors, finance, and the infrastructure team, to building the systems that make all of this repeatable and scalable. When supply is constrained and tradeoffs are unavoidable, you are the person in the room who can model the options, make a clear recommendation, and drive alignment fast. You are a strong fit if you have operated at the intersection of strategy and execution before — someone who is equally comfortable building a capacity model in a spreadsheet and running a cross-functional war room when a customer deployment is at risk. EXAMPLE INITIATIVES - Demand-Supply Alignment Framework: Build and own the process that translates customer pipeline, signed commitments, and growth projections into a forward-looking GPU demand signal — so the team is never caught flat-footed when a customer scales faster than expected. - Constrained Allocation Playbook: Define the decision framework for how Baseten allocates scarce GPU supply across competing customers and regions, including escalation paths and tradeoff criteria for leadership. - Capacity War Room Ownership: Lead cross-functional response when a high-stakes capacity situation arises — coordinating across Sales, SRE, Finance, and Vendor relationships to resolve it with minimal customer disruption. - Strategic Briefings for Leadership: Produce clear, concise capacity health reports and scenario analyses for senior leadership, enabling confident decisions on customer commitments, vendor negotiations, and CapEx allocation. RESPONSIBILITIES - Own the capacity planning process end to end: intake, triage, prioritization, fulfillment tracking, and post-mortem learnings - Translate customer commitments, sales pipeline, and infrastructure growth targets into concrete GPU demand forecasts across regions, GPU types, and timelines - Partner with Finance to model capacity scenarios, evaluate new supply opportunities, and support CapEx decision-making - Work closely with the Capacity Acquisition team to align supply procurement with forward demand, flagging gaps and risks early - Coordinate cross-functionally across Sales, SRE, and Infrastructure teams to resolve capacity conflicts and ensure customer commitments are honored - Build and maintain the operational cadence that keeps capacity planning structured, visible, and free of ad-hoc Slack chaos - Develop reporting and dashboards that give leadership a real-time view of capacity health, utilization trends, and risk exposure - Identify recurring operational gaps in the capacity lifecycle and drive process improvements that reduce toil and improve reliability REQUIREMENTS - 5+ years of experience in strategy, operations, consulting, finance, or a similarly analytical and execution-oriented role - Demonstrated ability to own complex, cross-functional processes with multiple stakeholders and competing priorities - Strong quantitative and modeling skills — comfortable building demand forecasts, scenario analyses, and capacity models from scratch - Excellent communication skills, with a track record of distilling ambiguous situations into clear recommendations for senior leadership - High ownership mindset: you identify what is broken, build the fix, and follow through until it is working - Operates well under pressure and in ambiguous, fast-moving environments where the playbook does not yet exist NICE TO HAVE - Familiarity with GPU infrastructure, cloud platforms, or AI/ML ecosystem - Experience in a high-growth startup or Series B+ environment where operational processes were being built from scratch - Exposure to vendor or partner management, particularly in hardware, cloud, or infrastructure contexts 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: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Team The Infrastructure team builds and maintains the systems that power LangChain’s developer platform, including LangGraph Cloud and LangSmith. The team focuses on reliability, scalability, and developer productivity across the stack, working closely with backend, frontend, and platform engineers to ensure services are deployed, tested, and operated with confidence. About the Role We’re hiring a Software Engineer to join the Infrastructure team and own developer productivity across our LangGraph Cloud/Platform and LangSmith products. You’ll work closely with Infrastructure, Backend, and Frontend teams to ship with confidence across Kubernetes-based services, APIs, and UI flows. You’ll also help pioneer quality practices specific to LLM applications, such as prompt regression testing and evaluation suites. Location: In person 5 days/week in San Francisco, CA or New York, NY What You'll Do - Own test strategy end-to-end across APIs, services, UI, data, and infrastructure (Kubernetes, Terraform, Helm) - Stand up ephemeral test environments in Kubernetes for pull requests and release candidates; seed test data and run hermetic test suites - Shift quality earlier in CI/CD pipelines (GitHub Actions) through parallelization, caching, deterministic seeds, flake tracking, and quality gates - Build observability into testing workflows with rich failure artifacts such as logs, traces, and dashboards - Establish performance and reliability baselines for critical paths, including SLIs, SLOs, and regression detection - Partner on incident workflows by reproducing issues, adding targeted regression tests, and improving runbooks and postmortems - Write documentation including test plans, playbooks, and contributor guidelines for writing high-quality tests Example projects you might own - A pull-request ephemeral end-to-end testing harness that deploys a minimal LangSmith stack in CI and runs Playwright and API suites against seeded tenants - A k6 performance scenario that simulates multi-tenant traffic and surfaces p95/p99 latency regressions per release - A flake-budget system that automatically quarantines flaky tests, opens issues with artifacts, and tracks time-to-deflake What You'll Bring - 3+ years of experience as a software engineer or infrastructure engineer - Strong hands-on experience with Python and testing frameworks such as pytest - Experience working with CI/CD systems (GitHub Actions preferred) and improving pipeline performance and reliability - Solid understanding of API testing, mocking/stubbing, and data setup/teardown - Comfort defining quality standards, writing test plans, and driving cross-team execution Nice to Have - Experience with load and performance testing tools such as k6 - Familiarity with observability tooling such as Datadog or OpenTelemetry - Experience testing services running on Kubernetes and containerized environments - Basic infrastructure experience with Helm, Terraform, Kubernetes networking, or secrets management - SQL fluency for validating data (Postgres, ClickHouse, BigQuery) - Familiarity with Go, Node, or React for targeted white-box tests and improving system testability Compensation - Annual salary range: $165,000- $250,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

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: US, Boston, MA 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 seeking a Senior NPI Mechanical Engineer to help establish our mechanical New Product Introduction (NPI) practices from the ground up, guiding hardware programs from concept through early production readiness. In this role, you will be the technical authority on manufacturability, working closely with design, quality, and supply chain teams to build the frameworks, processes, and discipline that let us scale from prototype and beta builds toward repeatable, larger-volume production. You will stand up quality processes and defect-reduction practices sized to where we are today, and own supplier relationships from sourcing through qualification and issue resolution. This is a hands-on, cross-functional role at the intersection of design, manufacturing, and quality, for an experienced mechanical engineer who thrives on creating structure out of ambiguity as much as executing within it. WHAT YOU'LL DO New Product Introduction (NPI) - Lead mechanical NPI activities across the full product lifecycle, from concept and early prototyping through pilot builds, ramp, and sustained production. - Partner with design engineering to review designs for manufacturability, assembly, and testability (DFM/DFA/DFT), influencing decisions early enough to avoid costly late-stage changes. - Help define and stand up a lightweight, right-sized gate process (EVT/DVT/PVT-equivalent) for our stage, then own the mechanical engineering deliverables (build plans, test protocols, readiness criteria) at each gate as it matures. - Coordinate cross-functionally with electrical engineering, industrial design, quality, supply chain, and program management to keep NPI programs on schedule and within budget. Manufacturing Scalability - Evaluate and select manufacturing processes, tooling, and fixturing appropriate for our current build volumes, with an eye toward what will and won't scale as we grow from beta to production - Identify and resolve bottlenecks in prototype and early pilot builds, laying the groundwork for the throughput and yield improvements we'll need as volume increases. - Develop and validate assembly processes, work instructions, and line layouts in partnership with contract manufacturers and internal operations teams- largely from scratch, not by inheriting existing documentation. - Lead design-for-scale reviews to anticipate and mitigate risks before they impact volume production. Quality & Defect Reduction - Lead defect triage and containment efforts during prototype and pilot builds, partnering with quality engineering — or building that partnership where it doesn't yet exist — to close the loop on recurring issues. - Define and begin tracking foundational quality metrics appropriate to our build volumes (e.g., first-pass yield, defect rate per build, open issues by severity), evolving toward more statistically rigorous measures like DPPM and field return rates as volumes grow. - Establish and drive quality processes across the NPI lifecycle, including FMEA, root cause analysis, and corrective/preventive action (CAPA) programs. - Champion a culture of proactive quality, embedding lessons learned from prior programs into new product designs. Supplier Management - Lead supplier sourcing, qualification, and onboarding for mechanical components, subassemblies, and tooling. - Conduct supplier audits and capability assessments to ensure suppliers can meet cost, quality, and volume requirements. - Manage ongoing supplier relationships, including performance reviews, issue resolution, and escalation management. - Negotiate and align on technical requirements, specifications, and quality agreements with suppliers and contract manufacturers. WHAT WE'RE LOOKING FOR - Bachelor's degree in Mechanical Engineering or a related field. - 10+ years of mechanical engineering experience, including significant time in NPI roles- ideally including experience both scaling hardware through high-volume manufacturing and standing up NPI processes from scratch in an early-stage or low-volume environment. - Demonstrated track record of taking products from concept through mass production, ideally in robotics, consumer electronics, or complex electromechanical systems. - Strong working knowledge of DFM/DFA/DFT principles, GD&T, and manufacturing processes (injection molding, sheet metal, machining, casting, etc.). - Hands-on experience with quality methodologies such as FMEA, 8D, root cause analysis, and SPC. - Proven experience managing supplier relationships, including sourcing, qualification, and issue resolution. - Experience standing up or scaling manufacturing lines at contract manufacturers. - Excellent cross-functional collaboration and communication skills, with the ability to influence design decisions and align diverse stakeholders. - Willingness to travel to supplier and manufacturing sites as needed (domestic and/or international). Preferred Qualifications: - Experience in robotics, automation, or other complex mechatronic products. - Familiarity with PLM/ERP systems and NPI program management tools. - Six Sigma or equivalent quality certification. - Experience with regulatory and safety compliance requirements relevant to robotics hardware (e.g., UL, CE, ISO). WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - 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. For this role in Massachusetts, the expected base salary range is $150K–$190K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

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: Remote GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Commercial Account Executive, Mid-Market, you’ll be the primary point of contact for prospective and existing customers in our mid-market segment, helping organizations modernize how they plan, build, secure, and ship software with GitLab’s AI-powered DevSecOps platform. You’ll own a broad book of business in your territory and serve as a strategic, trusted advisor to your accounts as you prospect, run complex sales cycles, and guide customers on their journey with GitLab to achieve clear business outcomes while supporting adoption and reducing churn. You’ll collaborate closely with Sales Development, Solutions Consultant, Renewals, Partners, and Sales leadership, using value-based selling and structured sales methodologies (such as MEDDPICC and Command of the Message) to build a healthy pipeline, run accurate forecasts, and support revenue goals across a wide range of deal sizes. Must be located in East or Central timezones in the US. What you’ll do Own and manage a broad Mid-Market book of business as the primary point of contact in your territory, focusing on new and expansion opportunities. Focus on customer accounts with 250 to 1,999 employees, managing the spectrum of project sizes and complexity within the mid-market segment. Articulate the value of GitLab’s AI-powered DevSecOps platform to Mid-Market prospects and customers, tailoring messaging to their business and technical needs. Build and maintain a healthy pipeline through consistent prospecting, qualification, and advancement of opportunities, using structured methodologies (such as MEDDPICC and Command of the Message) to support your pipeline and revenue goals. Document buying criteria, decision processes, next steps, and key stakeholders to run disciplined, well-orchestrated sales cycles. Collaborate with sales development, customer success, renewals, marketing, technical teams, and partners to deliver a cohesive pre- and post-sales experience, co-sell and close opportunities, and expand GitLab’s footprint while delivering added value for customers. Support customer adoption of GitLab solutions, proactively work to reduce churn and contraction, and participate in quarterly forecasting and territory planning. Contribute to continuous improvement by sharing win/loss insights, updating the sales handbook, and being a clear voice of the customer into the product via our public issue tracker. What you’ll bring Experience selling SaaS solutions by leading value-based conversations with technical and business stakeholders, ideally including development or DevSecOps teams. Ability to manage a broad mid-market territory as the primary point of contact, owning a book of business from prospecting through close, adoption, and expansion. Skill in building and maintaining strong customer relationships, including effective discovery, negotiation, and closing to support long-term customer outcomes. Comfortable driving consistent outbound prospecting activity, creating and maintaining a healthy pipeline, and maintaining accurate territory and forecast documentation. Ability to collaborate closely with cross-functional partners (sales development, customer success, renewals, marketing, partners, and technical teams) to coordinate account strategies. Clear and structured communication skills, including presenting the GitLab value proposition to different audience levels and documenting customer insights and lessons learned. Interest in GitLab, open source, and tools that support software development, with the ability to connect customer business challenges to GitLab’s DevSecOps platform. Willingness to travel to meet customers and attend events as needed, and openness to bringing relevant, transferable sales experience from a variety of backgrounds. About the team The Commercial Account Executive - Mid-Market role sits within GitLab’s broader Sales organization, focused on helping mid-market customers adopt and expand their use of our AI powered DevSecOps platform. You’ll be part of a distributed team of Account Executives, Sales Development, Solution Consultants, Renewals, and Partners who work asynchronously across regions to manage a broad book of business and a wide range of opportunity sizes. Our mission is to guide customers through their journey with GitLab, from first evaluation to long term value realization, by developing new business, strengthening customer relationships, and supporting healthy product adoption. We collaborate closely through shared playbooks, our sales handbook, and GitLab itself to stay aligned on territory plans, pipeline health, and best practices. For more on how we work, see the Commercial Account Executive Handbook . Remote-Global The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $68,800 — $114,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Atlanta Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. At Checkout.com http://Checkout.com, we build the global payment infrastructure that empowers the world’s most innovative businesses to thrive. We are looking for an exceptional Underwriter to join our Atlanta team and play a pivotal role in our growth. In this role, you won’t just be ticking boxes—you will be a strategic partner. You will dive deep into complex enterprise business models, evaluate credit exposure, and balance risk with commercial opportunity. Operating at the intersection of Risk, Sales, and Legal, you will get unique, cross-functional exposure while working directly with some of our highest-value merchants. HOW YOU’LL MAKE AN IMPACT - Deconstruct Complex Business Models: Analyze enterprise-scale applications and apply creative evaluation techniques to unlock high-value, complex deals while adhering to internal risk guidelines. - Navigate High-Stakes Verticals: Confidently underwrite merchants in high-risk lines of business, including travel, ticketing, securities, and gaming. - Quantify & Mitigate Risk: Calculate credit exposure dynamically, tailoring your approach to the specific nuances of each merchant. - Drive Financial Diligence: Dissect P&Ls, balance sheets, and cash flow statements, applying a deep understanding of accounting principles to assess financial health. - Advise & Influence: Synthesize complex micro and macro risks into clear, balanced recommendations. You will present these insights directly to Senior Management, the Credit Risk Committee, and our partner banks. - Be the Face of Underwriting: Join forces with Sales and Account Management on customer calls, acting as a trusted advisor to our clients. - Enable Next-Gen Payouts: Assess and process applications for our innovative Pay to Card and Pay to Bank solutions. WHAT WE’RE LOOKING FOR - Proven Expertise: 4+ years of experience in merchant underwriting or a closely related financial analysis role. - Financial Acumen: Expert-level ability to assess diverse business models, analyze financial statements, and identify credit risk exposure. - A "Customer First" Mindset: Excellent communication skills with a knack for delivering creative, commercial solutions without compromising risk standards. - Collaborative Drive: A true champion of our "One Team" culture who builds bridges across cross-functional departments. - Decisive Execution: Strong escalation management skills—you act with urgency, take ownership, and resolve roadblocks effectively. - An Innovator's Spirit: A passion for operational excellence and a desire to actively contribute to broader departmental projects and process improvements. - Bonus Points: Familiarity with Customer Due Diligence, KYC, and KYB protocols is a strong plus. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Dubai 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. The Role   As our Account Executive Enterprise, you will be instrumental in shaping Mistral’s adoption with our largest customers across a variety of industry. You will be driving deals end2end: from prospective, first intro call until closing and beyond — together with our dedicated implementation specialist, tech and legal teams.   What You Will Do:   Lead development (strategic outbound and qualified inbound): - Handle strategic outreach as well as warm introductions to promising enterprise customers - Converting inbound deals where upselling / more bespoke agreements can be achieved   Value prop validation for customer: - Provide hands-on support and guidance to clients during a potential Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process - Leverage successful POC outcomes to facilitate the conversion of POCs into long-term, revenue-generating contracts   Deal management & closing: - Develop and execute strategic sales plans to convert leads into valued customers — you are the first point of contact for all external stakeholders and are responsible for properly managing deals and aligning all stakeholders (heavy involvement of customer engineering, product, and commercial teams, both on operational and C-level) - Handle customer negotiation end2end, together with our legal and implementation specialist team   Executive Engagement: - Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI, and other key decision-makers within target organisations - Comprehend their specific challenges and needs, positioning our solution as an integral part of their strategic initiatives   Technical Aptitude: - Demonstrate a deep understanding of the technical intricacies of our product and articulate its value proposition effectively to potential clients - Work side-by-side with our implementation team to ensure that customer’s questions, concerns and challenges are taken care of during pre-sales, deployment and post-deployment phase - Collaborate with our technical team to address any customer inquiries or concerns   Training and enablement: -Empower internal teams with the knowledge and resources that you collect in customer conversations to drive product roadmap and align on priorities   What We're Looking For:   - 7-10 years experience in Sales for diverse industry (enterprise sales/consultative selling, ideally selling a highly complex, technical product) - Excellent academics: Bachelor and/or Master Degree in Business, Computer Science, or a related field - Significant work experience within AI ecosystem or related data/infrastructure field - Experience at successful fast growing startup, ideally in deep-tech - Strong technical skills to navigate quickly evolving products and steer technical discussions - Excellent English, additional language welcome - Outstanding negotiation and communication skills WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Remote Who we are Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase. With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once. Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love. If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us. Hours & location 🌎 While we hire almost anywhere in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week. Preferred locations: USA Why this job is exciting Sourcegraph is at the forefront of building AI tools to solve the biggest problems in the software industry, problems that only get bigger as codebases grow and as more of the work is done by agents. The Code Understanding team owns the surfaces where that intelligence meets the developer: Deep Search , our agentic, multi-step answer engine across an enterprise's entire lineup of codebases, Query Assist , turning natural language queries into Sourcegraph query syntax, Smart Hovers , concisely summarizing symbols right where devs need it, guided diff review, and the APIs that both humans and AI agents rely on every day. Most of what makes those surfaces tick is agent engineering : a blend of software engineering, machine learning, and statistics. Agent engineering tells us which model to use and when, how to retrieve and pack context, how to measure answer quality, where to fine-tune or distill a smaller model to cut costs and latency, and how to expand a single LLM call into a reliable multi-step agent. As the staff ML and agent engineer on Code Understanding , you'll be the technical owner of it: setting the tam’s direction for models, evaluations, and agentic systems, making our products measurably better, faster, and cheaper, and raising the team's fluency in building with models. This is a staff-level role : we're hiring a technical leader, not just a strong individual contributor. The primary need is a production ML and evaluation authority who also builds production agent systems. You'll own the hardest, most ambiguous problems in this space, set standards others follow, and influence direction beyond your immediate team. You'll get the exhilarating chance to drive the vision on how we can provide the best code understanding experience on the market by combining our deterministic, large-scale systems and AI into experiences never seen before. Concretely, you'll own work like: Agentic systems. You'll design and harden the multi-step, tool-using agent loops behind current and new agentic experiences, turning research and experiments into reliable, observable, and affordable products at enterprise scale. Pragmatic use of evaluations. Crafting agentic products means needing to tell when a change actually helped, which is hard when agents keep changing and the product keeps shifting. You'll bring judgment about where evaluations earn their keep, when to use targeted smoke tests and metrics, and how to avoid noise dressed up as rigor, so we can move fast with confidence. Models: selection, upgrading, and training. You'll decide which models we run where, drive upgrades, and fine-tune our own when that's the right call. Retrieval and context engineering. You'll push on how we ground models in a customer's code - retrieval, ranking, context windows, citations - to make answers more accurate and verifiable. Cost and latency. Every surface has a per-user economic budget. You'll treat cost and latency as product features, and profile, distill, cache, and right-size models so we can ship ambitious features sustainably. You'll do this on a small, senior-leaning team that ships quickly, owns a lot of product surface, and has streamlined product management: engineers here talk to customers, frame the problem, and own it end-to-end. You'll have real agency over technical direction and a direct line to the impact of your work. 📅 Within one month, you will… Get the Code Understanding products and their model/agent pipelines running end-to-end locally, and land your first improvements to a model, prompt, retrieval path, or eval. Build a clear picture of where the AI engineering pain is, and the product surfaces most constrained by them. Get to know the team and our customers, and start forming your own opinions about where our agentic products should go next. Join the team's on-call support rotation. 📅 Within three months, you will… Own a meaningful agentic slice of the product end-to-end, driving it from problem-framing through rollout and measurement. Establish how the team ships model and prompt changes responsibly: the evals, dashboards, and guardrails that make quality and cost regressions visible before customers feel them. Begin up-leveling teammates in building with models by pairing with them, reviewing their code, and modeling good agent engineering instincts. 📅 Within six months, you will… Be the recognized technical authority for agent engineering and agentic systems on Code Understanding. You will be the person teammates, and increasingly the wider department, defer to on model, eval, and agent-design decisions. Have measurably moved the products: better answer quality, lower cost/latency, or new agentic capabilities that weren't feasible before. Be setting the direction of the team's roadmap where it intersects agents, bringing conviction, backed by evidence, about which bets are worth making, and pulling other engineers up to execute on them. About you You are a staff engineer and technical leader with hard-won skills across production machine learning, evaluation, and agent systems . This high-leverage role relies on your ability to make sound model and evaluation decisions for a fast-moving product, build the production systems around them, steer technical direction, and be a force multiplier for a talented, product-minded team. You're equally comfortable reasoning about an eval harness, a fine-tuning run, a retrieval pipeline, and the multi-step agent loop that ties them together, and you make everyone around you better at all of it. You operate at staff scope: you own the most ambiguous, highest-risk problems in your domain, go into whatever codebase a problem requires, set standards and patterns others adopt, and translate fluidly between engineering goals and business objectives. You influence direction beyond your immediate team. You lead through technical excellence and mentorship. You have personally owned a production model lifecycle. You have trained or fine-tuned at least one model and taken it from dataset construction through evaluation, production rollout, and monitoring. You can explain how you chose between training or fine-tuning and prompting or retrieval, how you chose baselines and metrics, what error analysis revealed, and how production evidence affected the next version. You build agents, fluently and opinionatedly. You've designed multi-step agentic systems and made them reliable, observable, and cost-bounded. You have a point of view on where agents shine and where deterministic code or human judgment is required. You have strong evaluation judgment. You build representative datasets, meaningful baselines, useful error taxonomies, and release criteria that connect offline measurements to production behavior. You know where rigorous evaluations earn their keep, where lightweight smoke tests or qualitative review are enough, and where a precise-looking metric is misleading. You treat cost and latency as product constraints. You make measured quality, latency, and cost tradeoffs and use the appropriate combination of model selection, prompting, retrieval, caching, distillation, and fine-tuning rather than reaching reflexively for a more complex model. You operate autonomously on ambiguous problems. Given a rough product idea, a few customer quotes, and a Slack thread, you come back with a plan, a prototype, milestones, and a point of view on tradeoffs, without it being pre-scoped. You own high-technical-risk projects end-to-end. You contribute beyond your domain. As a senior IC, you go into whatever part of the codebase a problem requires, recognize issues beyond your immediate area, and translate between engineering goals and business objectives. You up-level the people around you. You mentor by pairing on hard problems, providing substantive design and code reviews, and spreading agent engineering literacy across the team. You see investing in your teammates' growth as part of the job. You're customer and product-driven. You're comfortable on customer calls and in feedback threads, you turn raw signals into requirements, scopes, and milestones, and you push back when feedback would lead the product astray. You're pragmatic, not a perfectionist. You ship the smallest correct thing, prefer robust solutions over complicated ones, and keep a high-quality bar with simplicity. On the engineering fundamentals: You're a strong software engineer who can ship production services. You're comfortable across our stack - Go on the backend, TypeScript on the frontend, GraphQL, Postgres, Docker - or you're clearly able and eager to get there. You're fluent with agentic coding tools, and you understand and own every line it submits. You're comfortable in an async-first, multi-service, fast-paced remote environment. Nice-to-haves: You've shipped an LLM-powered or agentic developer-facing product you can speak about opinionatedly: what worked, what didn't, what you'd do differently. You've fine-tuned, distilled, or trained models to meet cost, latency, or quality targets in production. Experience with retrieval, ranking, embeddings, or search relevance. Experience working directly with enterprise customers and translating their needs into a product. Experience mentoring or up-leveling engineers, especially raising a team's agent engineering fluency. Level 📊 This job is an IC4. You can read more about our job leveling philosophy in our Handbook. Compensation 💸 We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an open and transparent company, our compensation philosophy and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive. Your base salary is determined by the IC4 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone. 💰 The starting salary for the IC4 pay band in each zone is: Zone 2: $176,000 USD Zone 3: $132,000 USD Zone 4: $88,000 USD 📈 In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous perks & benefits . Interview process Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all! We expect the interview process to take 5.5 hours in total. 👋 Introduction Stage - we have initial conversations to get to know you better… [30m] Recruiter Screen [30m] Hiring Manager Screen 🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners… [60m] Resume Deep Dive [60m] System Design [60m] Harden a Code Research Agent Interview [60m] Cross-functional team collaboration / Values 🎉 Final Interview Stage - we move you to our final round, where you gain a better understanding of our business and values holistically… [30] Leadership We check references and conduct your background check Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process. Learn more about us You can learn more about what it is like to work at Sourcegraph by reading our handbook . We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our culture , competitive compensation and benefits here. Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds. Sourcegraph participates in E-Verify for U.S. Employees.

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: Tashkent Workplace: remote <Job Title> – <City or Country> (use Heading 3 Font and Bold) The Role: (Use Normal and Bold) Description use Normal The main responsibilities of the position include: Define and create country - specific marketing strategies. Develop and implement demand and lead-generation marketing & rollout plans for the Uzbek Market. Launch marketing campaigns as well as evaluate success and deliverables based on KPIs. Assist the Marketing and the Business Development functions to carry out market research during the country penetration stage, in respect to the country’s ethics, culture, customs, etc. Provide support for marketing events and exhibitions as required. Assist in the ongoing marketing activities as well as support the marketing team and other regional teams as necessary. Manage the regional marketing team and handle relevant delegated projects. Stay on top of current trends and best practices. Perform any other related tasks as assigned by the Business Development Manager. Main requirements: Degree in a marketing, advertising, communications or a business-related field. At least 4 years of experience in a similar role. Native Uzbek and Russian speaker and very good knowledge of English. Solid experience with managing teams. Excellent knowledge of marketing analytics and metrics features. Strong digital marketing skills. Strong project management skills will be considered an advantage. Outstanding communication and interpersonal skills. Highly organised and ability to multitask. Dynamic and target oriented. Benefit from: Attractive remuneration package plus performance related reward. Intellectually stimulating work environment. Continuous personal development and international training opportunities. The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Test your edge – Aptitude Assessment Deep Dive – First Interview with Your Future Team Bring It to Life – Role-Specific Take-Home Task Get Closer – Second Interview with the Future Team Test your edge – Personality Assessment Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Remote Workplace: Remote ABOUT ENEBA At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers. ABOUT THE ROLE Eneba is hiring an Account Manager to own a portfolio of mobile game publishers on our rewarded network. This is a commercial role with a heavy performance-marketing core: you will be the strategic point of contact for your clients, and you will personally build, launch and optimize the event reward funnels that drive their results. The best person for this job is someone who is equally comfortable on a QBR call with a client’s Head of UA and in the dashboard at 9pm rebalancing reward tiers on an underperforming event. You will own the end-to-end performance of your accounts — the relationship, the funnel setup, the optimization, and the revenue behind it. WHAT YOU’LL DO - Own client relationships. Serve as the day-to-day contact for a portfolio of mobile game publishers, building trusted relationships with UA managers, directors and CMOs, as well as monetization and growth stakeholders. - Grow your book of business. Expand accounts through cross-sells (bringing additional titles from a client’s portfolio onto the network) and upsells (growing budget and spend on titles already live, and expanding into more geos). - Set up and evaluate event reward funnels. Design reward structures using industry best practices, understanding event mechanics and payout tiers from scratch; QA them pre-launch and assess whether the funnel economics work for both the client and the network. - Review performance and optimize events. Monitor live events against KPIs, diagnose drop-off points in the funnel, and make data-led adjustments to reward tiers, targeting, creative and pacing to hit performance targets. - Act as a strategic advisor. Bring clients benchmarks, category insight and a clear point of view on what to run next — not just a status update on what ran last week. - Own the invoicing and billing process. Manage the commercial back end of your accounts end-to-end, coordinating with finance to ensure accurate, on-time billing and clean resolution of any discrepancies. - Plan and run QBRs. Schedule, prepare and deliver quarterly business reviews — virtual or in person — that translate performance data into a forward-looking growth plan. - Drive client retention. Spot early signals of churn risk, and propose and implement retention strategies that keep accounts growing rather than lapsing. - Own end-to-end campaign performance. Take full accountability for how your clients’ campaigns perform — from onboarding and setup through to results, reporting and renewal. WHAT WE’RE LOOKING FOR - 2+ years in mobile ad tech in an account management, partner management, customer success or performance/UA role. - Direct, hands-on experience setting up and optimizing reward funnels. This is the highest priority requirement for this role. You should be able to walk us through a funnel you built, what the reward structure looked like, what underperformed, and exactly what you changed to fix it. - Strong performance analytics instincts. Comfortable working in dashboards and spreadsheets, and confident with the metrics that matter in this space — conversion rate, completion rate, CPI/CPA, ARPU, ROAS, retention and LTV. - Commercial ownership. A track record of growing existing accounts through upsell and cross-sell, and comfort holding a revenue or growth number. PREFERRED - Rewarded network experience — offerwall, rewarded playtime, or rewarded engagement/events. This is a strong plus and will move a candidate to the top of the pile. - Experience working directly with mobile game publishers and an understanding of how their UA teams operate. - Familiarity with MMPs and attribution (AppsFlyer, Adjust, Singular) and with BI/reporting tooling. - Exposure to the commercial mechanics of a network — margin, payout models, budget pacing and invoicing. #LI-SC1 What it’s like to work at Eneba - Opportunity to join our Employee Stock Options program. - Opportunity to help scale a unique product. - Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. - Paid volunteering opportunities. - Work location of your choice: office, remote, opportunity to work and travel. - Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.   We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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. _______________________________________________________________________ THE ROLE 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. Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$238,000– CA$340,000 base United States: $171,500 – $245,00 base ______________________________________________________________________ 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