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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: Espoo Workplace: Hybrid ROLE HIGHLIGHTS: - Systems and Software Team Lead - Location: Espoo, Finland - Department: Global Manufacturing Organisation - Employment type: Permanent - Workplace model: Office - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: We are looking for a Systems and Software Team Lead to own systems and software production and satellite-level testing for ICEYE's SAR satellites, from production integration through to proof that every onboard system performs reliably before a satellite ships. Your team is responsible for onboard software loading, validation, and checkout during production, and full satellite-level functional and end-to-end system checkout, including RF testing in the anechoic chamber as part of that satellite-level test campaign. You will lead a multidisciplinary team of engineers and technicians across systems and software, and carry the ultimate responsibility for flight readiness on the systems and software side of the build. This is a hands-on leadership role at the core of production. You'll spend time on the floor with your team, troubleshooting, unblocking issues, and improving processes, while working alongside the Integration and Mechanical team leads to keep the overall satellite build on schedule and to the highest quality standards. ICEYE's production volumes are scaling significantly, and this role is central to building the systems, tooling, and team needed to support that growth.   WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.   YOUR DAY-TO-DAY RESPONSIBILITIES   LEADING SYSTEMS & SOFTWARE PRODUCTION - Own systems and software production for ICEYE's SAR satellites, ensuring mission readiness from integration through launch - Plan, coordinate, and execute satellite build stages across production, from initial integration through flight readiness - Own end-to-end production flows for onboard software, avionics, and SAR payload system integration - Be hands-on: lead troubleshooting, unblock issues, keep production momentum OWNING SATELLITE-LEVEL VERIFICATION - Drive execution of system-level functional testing, verification, and acceptance for SAR flight units, once integration is complete - Prove that all onboard systems (avionics, power, software) perform reliably in full configuration - Own planning, execution, and reporting of system-level functional tests and inspections, including RF testing of the full satellite in the anechoic chamber - Ensure anechoic chamber test setups are properly scheduled, maintained, and executed as part of the satellite-level test flow OWNING SOFTWARE IN PRODUCTION - Own onboard software loading, validation, and checkout during production and verification - Maintain and improve test automation, scripts, and software-supported verification flows with keeping supporting stakeholders in loop. - Ensure robustness of SAR mission software, including payload control, data handling, and spacecraft operations DRIVING QUALITY, TRACEABILITY & COMPLIANCE - Maintain configuration control, build discipline, and full traceability - Ensure compliance with aerospace quality standards - Manage technical risks, anomalies, and non-conformances through root cause analysis and corrective action, identifying and driving resolution of the issues most critical to the production line BUILDING SCALABLE, REPEATABLE PROCESSES - Define and continuously improve scalable production workflows, work instructions, test procedures, and checklists together with AIT Engineering and Quality - Turn unclear inputs into clear, usable verification processes, reducing reliance on tribal knowledge - Drive throughput and reduce rework while protecting quality, as production volumes scale LEADING & DEVELOPING THE TEAM - Lead, coach, and grow a multidisciplinary team across systems and software, including satellite-level test execution - Mentor and lead the team, fostering operational excellence, accountability, and a high-reliability spaceflight culture - Train and mentor on systems and software test best practices and fault diagnostics, including anechoic chamber test execution WORKING ACROSS TEAMS & SCALING - Act as the primary technical interface between AIT engineers, engineering, production, and mission operations for SAR missions - Coordinate closely with the Integration and Mechanical team leads to ensure a unified, on-schedule satellite build - Prepare verification and production processes for higher volumes; define and track KPIs WHAT WE’RE LOOKING FOR MUST HAVES: - Strong leadership experience, with the ability to manage and guide a multidisciplinary team of engineers and technicians, fostering collaboration and growth - Proven expertise in systems and/or software integration for complex hardware, ideally in satellite, aerospace, or a similarly regulated high-reliability environment - In-depth knowledge of onboard software, avionics, and payload systems, and how they interact with the broader satellite build - Comfort with software in test: flight software loading/validation, test automation, and scripting - Strong background in root cause analysis, anomaly management, and non-conformance resolution - Familiarity with satellite-level test methods, including exposure to RF/anechoic chamber testing (spectrum analyzers, network analyzers, signal generators, power meters) - Excellent organizational and planning skills, able to coordinate across multiple technical disciplines and manage competing priorities - Effective communicator, able to convey technical updates clearly to engineers, technicians, and senior management, including C-level executives WHAT SUCCESS LOOKS LIKE - Every satellite's systems and software performance is verified reliably, predictably, and to standard before it ships, including its RF/anechoic chamber test results - Systems and software verification processes are clear, structured, and scalable - Problems are isolated and solved at the root, not patched - The team takes full ownership of production and verification quality and traceability - Production and verification throughput keep pace with ICEYE's growth WHY THIS ROLE IS INTERESTING - You bring systems and software production and verification together under one scope, including the satellite's final anechoic chamber test - You own the moment of truth: proving that every satellite works end-to-end before it ships - You'll shape how production and verification are done, not just follow existing processes - You'll work at the intersection of engineering and production, where your decisions have immediate impact APPLICATION PROCESS - Talent Acquisition Interview - Hiring Manager General Interview - Technical Interview, including a Technical Challenge - Hiring Team Interview - Director Interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Base salary range for this position is depends on experience, and will be negotiated individually. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: London, England Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is growing our team of passionate people on a mission to make design accessible to all. Born on the Web , Figma helps entire product teams brainstorm , create, test, and ship better designs, together. From great products to long-lasting companies, we believe that nothing great is made alone - come make with us! Figma is looking for a Director, SMB Sales (EMEA) to join our growing Global Commercial organization. As Director of SMB Sales, EMEA, you'll lead a team of frontline managers and Account Executives responsible for helping growing businesses adopt Figma's Organization and Enterprise plans. Reporting to the VP of Commercial Sales, you'll play a critical role in scaling a high-volume, specialized sales motion while partnering closely with leaders across the Americas and JAPAC to drive consistency, share best practices, and evolve how we serve SMB customers globally. This is an opportunity to shape the next chapter of one of Figma's fastest-growing businesses, leading a talented team while influencing strategy across Sales, Marketing, Operations, Enablement, and Product. At Figma, we value leaders who think creatively, challenge the status quo, and build teams that consistently raise the bar for customer experience and business impact. This is a full time role that can be held from one of our EMEA hubs. What you'll do at Figma: Lead, develop, and inspire a team of frontline managers and Account Executives, building a high-performing culture focused on coaching, accountability, and customer impact. Scale the EMEA SMB business by driving operational excellence across forecasting, pipeline management, inspection, and execution against revenue goals. Partner with SMB leaders across the Americas and JAPAC to build a globally consistent sales motion, sharing best practices and raising execution standards across regions. Recruit, hire, and develop exceptional sales leaders while building a strong internal pipeline of future Mid-Market leaders and second-line managers. Coach managers through forecast reviews, pipeline inspections, deal strategy, call coaching, and performance management to improve both team execution and customer outcomes. Use data to identify opportunities, test new strategies, and continuously improve the SMB sales motion, including territory design, pipeline generation, productivity, and conversion. Partner closely with Operations, Enablement, Marketing, Solutions Consulting, Customer Experience, and Product to influence the evolution of the SMB business and improve how we serve customers globally. Serve as an executive sponsor for strategic customer opportunities while representing the voice of EMEA in the continued evolution of Figma's global SMB strategy. We'd love to hear from you if you have: 8+ years of experience leading SaaS sales organizations, including at least 4 years in sales management. You’ve managed frontline leaders and spent at least 2 years in a second-line leadership role. You’ve led distributed sales teams across multiple countries and understand the differences between EMEA markets. Comfortable balancing long-term strategy with the realities of day-to-day execution. Built and scaled teams of Sales Managers and Account Executives in a high-growth company. Ideally, you also have experience with SMB or Commercial SaaS sales, particularly in a product-led growth business. You know how to coach leaders, develop talent, and create inclusive teams that perform consistently. You’ve exceeded revenue targets while improving forecasting and building dependable sales processes. Confident using data to make decisions and have worked closely with Marketing, Operations, Enablement, Product, and other go-to-market teams. While it’s not required, it’s an added plus if you also have: Experience using or working with Figma, or other UX/UI experience Additional European language fluency (e.g. French, German, Spanish) Experience with Command of the Message or MEDDIC/MEDDICC sales methodology Background scaling teams across multiple EMEA markets simultaneously At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

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 Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten's Compute org is in hyper growth. As it scales, the systems and workflows that keep supply and demand balanced across our GPU fleet need to get more sophisticated, and this role exists to make sure they do. Compute sits at the center of how Baseten allocates, forecasts, and manages the capacity that powers every customer inference request. The team that supports this work, C3, runs on a mix of internal tooling, manual processes, and systems that haven't fully kept pace with the scale of the problem. This role exists to close that gap. You'll design, build, and ship AI-powered workflows that give the Compute and C3 teams real leverage, automating the manual, repetitive, and error-prone parts of the capacity lifecycle so the team can focus on judgment calls that actually need a human. We want someone who can walk in, audit what exists today, identify what's missing or broken, and start shipping fast. You know when to reach for an existing internal tool and when to build something custom in Claude Code. You think two to three steps ahead about how the thing you build today fits into the broader capacity systems architecture tomorrow. And you bring a point of view on our stack, on what we should be building, and on where AI can do something existing tooling simply can't. RESPONSIBILITIES - Ship AI-powered workflows for Compute and C3: build the agents and automations that give capacity analysts, ops leads, and engineers real leverage, off-loading manual and repetitive work like data pipeline cleanup, migration troubleshooting, and capacity investigation. - Get insights in front of the team: turn fleet utilization, allocation, and demand-forecasting data into the dashboards, alerts, and recommendations that C3 and Compute leadership actually act on. A build isn't done until the team is using it. - Audit the stack and generate your own backlog: Compute runs on a mix of tooling with real overlap and real gaps. Walk in with a point of view, identify what's missing or broken, and prioritize without waiting to be handed a roadmap. - Ship team-productivity workflows fast: triage asks from Supply, Demand, and C3, find the low-hanging fruit, and build it. A good week looks like an ops lead asking for something Monday and having it live by Wednesday. - Know when to go custom: not everything belongs in a point-and-click tool. Spin up bespoke AI-powered solutions in Claude Code when the problem calls for it, and make that call with judgment, not default. - Think in systems, not solutions: every workflow you build has upstream and downstream implications across Supply, Demand, and Engineering. Anticipate them, design for them, and don't create technical debt someone else has to unwind six months later. - Integrate third-party APIs and internal systems to sync events and information across disparate tools: ensuring data flows reliably between C3, the CRM, and the systems Compute depends on every day. - Document what you build: if people can't find it, understand it, or trust it, it doesn't matter how well it works. REQUIREMENTS - 3+ years of experience in AI/automation engineering, workflow automation, or a technical operations role, ideally at a high-growth, AI-native infrastructure or B2B company - You've shipped production agents on Vercel. Build custom internal apps and agents on Vercel, with durable workflows and sandboxed execution, so what you ship runs reliably in production instead of as one-off scripts - Genuine fluency with AI coding assistants and agent tooling (Claude Code, Cursor, Codex, or similar) - Direct experience with a CRM or system-of-record platform (Salesforce or similar) - A track record of owning end-to-end AI and automation workflows - Proficiency with integration and automation platforms (n8n, Zapier, Make, Workato, or similar) and a fundamental understanding of APIs and webhooks - Experience in high-growth technology companies, ideally in infrastructure, cloud, or operations-heavy environments NICE TO HAVE - Familiarity with GPU infrastructure, capacity planning, or fleet management concepts - Comfort building reporting and alerting on a data warehouse (BigQuery, Databricks) and BI layer (Sigma, Hex) — not as a data engineer, but as a consumer and builder on top of the data layer - Experience building with agent platforms (Gumloop, n8n, Notion Agents, etc.) and/or agent frameworks (Vercel AI SDK, Claude Agent SDK, Mastra, etc.) - Experience with high-stakes, operationally complex environments where mistakes have real business impact - Challenging work and exposure to the operational core of a fast-scaling AI infrastructure company BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: 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: United States; Europe Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE ElevenLabs is building the creative suite for the AI generation. Millions of creators and marketers already use our platform to generate speech, music, images, and video — and many of the world's best creators already talk about our products organically. It's time to turn that signal into a real program. We are looking for an Influencer Marketer to build our influencer program from zero to one. You will own the entire channel: strategy, creator sourcing and vetting, deal negotiation, briefs and creative direction, campaign execution around product launches, and measurement. This is not a coordination role — you will be the owner and operator of a channel we believe can become one of our biggest growth levers. We are looking for the top 1% of people in this industry. The right person has already taken an influencer program from nothing to something — with real numbers to prove it — and wants to do it again with more budget, a better product, and a faster team. You have sharp taste in creators and content, you negotiate deals that work for both sides, and you think about influencer spend the way a performance marketer thinks about paid: in terms of true incremental impact, not vanity metrics. WHAT YOU WILL DO - Design and build the ElevenLabs influencer program from the ground up: strategy, creator tiers, budget allocation, and operating playbook - Source, vet, and sign creators across YouTube, TikTok, Instagram, and X whose audiences match our creator, marketer, and developer segments - Negotiate and structure deals — flat-fee integrations, performance hybrids, long-term ambassadorships — and manage creator contracts with Legal - Write briefs that protect brand quality while giving creators room to be authentic, and give fast, decisive feedback on draft content - Plan and execute creator campaigns around product launches, feature releases, and cultural moments across ElevenLabs and ElevenCreative - Own measurement: work with our data team on attribution and incrementality (we already run a halo attribution model), and make continue/pause/scale calls on every creator and agency based on true ROI - Partner with paid marketing on whitelisting and amplifying top creator content, and with social to extend campaign reach - Build repeatable systems — sourcing pipelines, rate benchmarks, brief templates, reporting — so the program scales beyond you REQUIREMENTS - A proven track record of building an influencer program from zero to a meaningful, measurable channel — you can walk us through the before and after with real numbers - Experience negotiating and closing creator deals across YouTube, TikTok, Instagram, and/or X, including non-standard structures (performance hybrids, ambassadorships, usage rights) - Fluency in measurement beyond last-click: promo codes, UTMs, lift studies, incrementality, and the judgment to make budget calls when attribution is imperfect - Sharp creator taste — you can tell which creators will move the needle for a product like ours and which will just burn budget - Excellent brief-writing and creative feedback skills; you raise content quality without killing authenticity - Experience managing meaningful budgets and working cross-functionally with paid, social, product marketing, data, and legal - A genuine understanding of the AI and creative tools landscape — you follow the space, use the tools, and have informed opinions about where things are headed BONUS - Built or scaled an influencer program at a creative tools, AI, or developer-facing company (e.g., Canva, Adobe, Figma, Notion, Runway, or similar) - Managed 7-figure annual creator/sponsorship budgets - Experience on the agency or creator side of the table — you know how the other side negotiates - Built adjacent programs: ambassador, affiliate, or B2B thought-leader partnerships - Multilingual capabilities GROWTH POTENTIAL We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Lead the influencer and creator partnerships function as the program scales, building a team around you - Expand into broader creator/community growth ownership across ElevenLabs brands - Move into growth or brand marketing leadership as the Growth org evolves LOCATION This role is remote-first and can be executed from anywhere between the US East Coast and Europe, with the ability to collaborate across EST–CET timezones. If you prefer, you can work from our offices in London, New York, Madrid, Warsaw and many more. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About Peec AI Peec AI is the visibility platform for the age of AI search. The way people discover brands is being rewritten. ChatGPT, Claude, Google AI Mode and Copilot now sit between companies and their customers, and most brands have no idea what those models say about them. We built the platform marketing teams use to measure, understand and improve how they show up inside AI answers. We went from 0 to $15M ARR in 18 months. We're around 80 people, based in Berlin with a growing presence in New York, and we're moving fast enough that the people joining now are writing the playbook everyone after them will run. The core Peec AI product is how a brand sees itself inside AI search. Most of what it needs to become has not been built yet, and this PM will define and own it. We're looking for someone to decide what an entire product surface should be and then ship it. What You'll Do — Take new product areas from nothing to shipped, owning the problem end to end — Define what a brand's presence inside AI search should look like, working directly with our founders and customers on a category that is still being written — Go broad on the problem space before narrowing on solutions, and hold that discipline when everyone wants an answer immediately — Partner with Data, Engineering and Design to build and launch AI-native features at scale — Set the bar for how the product looks and feels, not just what it does — Own the customer relationship for your product area. Discovery calls, onboardings, and see people actually use what you built Who You Are — 3+ building excellent software products, ideally at a startup or fast-moving company — You have built new products rather than maintained and improved existing ones, and you can point to what you shipped — Experience shipping AI-powered products and systems that operate at scale — Genuine design judgement — Technical enough to work as a peer with engineers and data scientists — Experience in a product-led growth environment — You operate with very little direction. You pick up an ambiguous area and come back with a direction — Excited to be in our Berlin office five days a week — We care more about what you have built than how long you have been building. If you have fewer than three years but the work speaks for itself, apply anyway. Bonus Points — A design background, or a portfolio of things you have designed yourself — Previous founder experience — Background in Computer Science or a technical field — Previous experience building AI-driven or search-related products What We Offer — Exciting and challenging work with real impact and ownership at one of Europe's fastest-growing Series A startups — Regular team events and off-sites — Aggressive equity compensation package — Paid Dinner & Uber home when working late — The most beautiful office space and work environment in Berlin

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

Synthesia Roleplay Sessions is a training tool that lets people practice real conversations with AI avatars. Instead of just watching training videos, learners do interactive roleplay exercises, like practicing a sales pitch or handling a customer complaint with an AI coach. The AI gives instant feedback so people know what they did well and what to improve. Managers can use a dashboard to track which employees have completed their training, see how well they performed, and measure if the training actually improved their skills. The whole platform is built around learning by doing rather than just passive video watching. For your ML engineer role, you'd be building the AI engine that makes the coaching work. That means creating the models that listen to what learners say during roleplay, score their performance, generate helpful feedback in real time, and decide how the AI avatar should respond next based on what the learner does. This is an applied ML position, not a research one. We expect you to have a good understanding of ML but on the other side to be a good product-focused software developer as you will be expected to work on different products. Please bring with you: — Ability to apply your machine learning knowledge to solve real product problems. — At least seven (7) years of experience as a software engineer, with at least 2 years at senior level. — Experience in a high-performing engineering team operating at scale, whether in a scale-up or established organisation recognised for strong engineering culture. — Strong alignment with commercial success. — Pragmatism and bias towards action. — Comfort with fast iteration. Why join us? — We’re living the golden age of AI. — Our culture is focused on building and empowering people to work fast. — Serving 50,000+ customers including 50% of the Fortune 500. — Proprietary AI technology built in-house by world-class AI researchers and engineers. — Commitment to AI safety, ethics, and security. The hiring process includes: — Tech Recruiter Interview (30-40min) covering technical background and experience. — Delivery and Impact Interview (60min) deep dive into past projects and impact. — Technical Rounds including Work Scenario Round (75-90min) and System Design Technical Discussion (60min). — Leadership Retrospective (60min) discussing collaboration, growth, and role expectations. — Final debrief leading to offer or end of process. Other important info: — Preference for role based in-office or remote in UK, Germany, Switzerland or Ireland, with possible support for remote workers elsewhere in Europe. — Salary starts at EUR/GBP/CHF 120,000 base plus RSUs. — Full-time employment only, no contractors. — 25 days of leave plus local holidays.

Location: Bogota, Colombia; Belgrade, Serbia; Tbilisi, Georgia Workplace: remote Execute and optimize social campaigns across various platforms, such as Meta, Linkedin, TikTok, and more with a focus on achieving media or performance KPIs. Utilize your expertise in paid social advertising to develop and implement effective campaign strategies, targeting methods, and ad creatives. Monitor campaign performance, analyze data, and identify areas for optimization and improvement to drive maximum results. Prepare comprehensive reports and metrics, showcasing campaign performance, key insights, and recommendations for further optimization. Build and update dashboards to provide real-time visibility into campaign performance and key metrics. Collaborate closely with the Client Service team, ensuring effective communication, understanding client requirements, and addressing their needs and concerns. Minimum of 2 years of experience in executing and optimizing social campaigns toward media or performance KPIs. Proven in managing social media advertising platforms, such as Facebook Ads Manager, TikTok, LinkedIn, etc. Experience with GTM and GA4. Strong analytical skills with the ability to interpret data and derive insights. Knowledge of audience targeting, ad creative best practices, and bidding strategies in the context of paid social advertising. Fluent English B2+ Strong attention to detail and ability to manage multiple campaigns simultaneously.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're seeking an experienced Social Escalations Manager to be a founding member of a new pillar of our Operations organization: Community & Executive Escalations. This role is the front line of how Anthropic protects its reputation when high-stakes user issues surface on public social platforms.You'll help stand up the function from scratch and operate it day-to-day.  You'll actively monitor brand and product conversations, triage emerging issues, and own social escalations end-to-end. During live escalations, you'll build real-time social reports that turn data into actionable recommendations to resolve issues quickly and reduce reputational risk. The ideal candidate pairs deep fluency in the social analytics landscape with calm judgment under pressure, sharp written communication, and a bias toward action. Key responsibilities Build the team's playbooks, escalation criteria, tooling solutions, and SOPs to successfully manage social escalations Actively monitor public social channels for brand mentions, surfacing potential escalations and triaging them against defined criteria Own social escalations end-to-end during your coverage hours Communicate crisply with internal stakeholders: brief executives on live situations, give Comms partners the facts they need, and keep incident channels useful and current Build social reports in real-time, using the data to drive actionable recommendations that quickly and effectively resolve live incidents and reduce reputational risk Write clear post-escalation reports that capture what happened, what we did, and what should change—so the next escalation is easier than the last Help iterate on the team's playbooks, response templates, escalation criteria, and SOPs based on what you learn running real cases Minimum qualifications 6+ years of experience in social analytics, escalations management, customer support, or a related front-line operations role—ideally at a consumer or developer platform Deep knowledge of the social landscape and hands-on experience using social listening tools (query writing, alert design, API pipelines, report building) Excellent judgment under pressure and have a strong instinct for how issues spread across public social platforms Sharp written communication—you can brief a senior leader in three sentences and document an incident so the next responder can pick it up cold Comfort coordinating across functions in real time and influencing partners without positional authority A pattern-detection mindset—you spot the second-order issue beneath the first-order complaint and surface it to the right people Comfort with ambiguity and a bias toward action; this team is brand new and you'll be helping define what good looks like as you operate Excitement about protecting Anthropic's reputation and relationships at a moment when public attention on AI has never been higher The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $210,000 — $260,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.