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Location: SF or Remote (US/Canada) At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE As Senior Engineering Manager for Agent Platform & UX, you will lead two teams reimagining Render's onboarding and activation experience for both humans and AI agents. One team owns the experience a person sees the first time they come to Render: signup, onboarding, activation, and what drives them to adopt more of the platform. The other team builds the equivalent experience for agents, which reach Render through APIs rather than the UI, integrating with providers like Codex, Claude, and Cursor so agents can use Render the way humans do. You'll take an already-forming org through its next stage of growth. WHAT YOU'LL DO - Lead and grow two teams, UX (human onboarding and activation) and Agent Platform (the equivalent experience for agents via programmatic interfaces like the MCP, CLI, API, SDK, and Blueprints) - Own the roadmap for Render's self-serve user journey, from first touch through activation, initial monetization, usage expansion, new feature adoption, and PQL graduation - Drive the agent-facing side of the platform: build the API-driven experience that lets agents integrate with and operate on Render - Partner with the dedicated product and design partners on both teams to align roadmap with customer, growth, and platform needs - Hire and develop engineers to support planned team growth, while keeping both teams' identities and focus areas clear as they scale - Make key architectural and product decisions, balancing long-term platform investment against iterative improvements to onboarding and activation - Build a strong performance management and career development practice for a team that already includes senior ICs WHAT WE'RE LOOKING FOR - Strong people leadership - the top priority for this role - Hands-on enough to review code, prototype, and contribute directly when it helps the team - Comfort operating in ambiguity, with adaptability and a growth mindset - Proven experience building and scaling more than one team, ideally growing a group from a handful of engineers into a larger org - Experience managing and developing senior (IC5+) engineers, including hiring and performance management - Ability to partner closely with product and design without needing to fill those functions yourself - Strong product instincts, with the ability to connect engineering investment to growth and activation outcomes - Background from either a startup or a larger company is fine. What matters is experience and ability to operate in a fast-paced environment NICE-TO-HAVES - Prior growth-focused engineering experience (onboarding, activation, funnel optimization) - Experience building developer- or agent-facing product experiences, and integrating with AI coding tools such as Codex, Claude, or Cursor - Background in developer platforms or DevTools - Experience helping a team split or reorganize as it scales into multiple teams If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: San Francisco, CA • New York, NY • United States 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! We're looking for a collaborative and detail-oriented HRIS Analyst to support, maintain, and improve our Workday platform, with a focus on Core HCM — configuration, reporting, security, EIBs, notifications, and alerts. You'll also take on configuration and testing for larger projects across other Workday modules. Success here means balancing hands-on day-to-day support with thoughtful, scalable system improvements. This is a full-time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Configure and maintain Workday Core HCM, including business processes, notifications, alerts, condition rules, validations, and related configuration Maintain and update Workday security roles and role assignments, partnering with stakeholders to ensure appropriate access and compliance with SOX and security best practices Manage the HRIS support ticket queue, triaging requests, resolving system issues, identifying root causes, and recommending process improvements; escalate complex problems as needed. Manage projects end to end, partnering with stakeholders to translate business requirements into scalable Workday solutions, including work spanning modules such as Payroll, Advanced Comp, Time Tracking, Benefits, Performance, or Absence Build, maintain, and troubleshoot Workday reports, dashboards, and calculated fields to support business and compliance needs Create, execute, and troubleshoot Enterprise Interface Builder (EIB) integrations to support data imports, exports, mass updates, and ongoing business operations Support Workday releases by evaluating new functionality, testing enhancements, and recommending adoption opportunities Maintain documentation for configurations, testing, and standard operating procedures We'd love to hear from you if you have: 4+ years of hands-on experience configuring Workday HCM business processes and administering security at a public company Experience managing an HRIS support queue or responding to end-user support requests Proficiency creating, executing, and troubleshooting EIBs, along with experience in Workday reporting, including standard and advanced reports and calculated fields Understanding of HR business processes across the employee lifecycle, with strong analytical and problem-solving skills and attention to detail Excellent communication and stakeholder management skills, with the ability to manage multiple priorities in a collaborative environment 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. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $140,000 — $202,000 USD 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, 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 A strong and reliable platform is essential to scaling Sentry for the future. Our Platform organization is responsible for everything that powers Sentry, from cloud infrastructure and streaming systems to storage, deployment, and security. We own the core services and technical foundations that enable every product and engineering team at Sentry to move fast and build with confidence. We’re looking for a Senior Staff Software Engineer to set technical direction across Sentry’s Platform organization and lead engineering work spanning infrastructure, streaming, and storage. Reporting directly to the VP of Platform Engineering, you’ll partner with engineering and product leaders to identify where our platform needs to evolve, make architectural decisions across team boundaries, and lead those changes through production delivery. You’ll stay hands-on through system design, prototyping, and code while helping senior and staff engineers lead work across teams. WHAT YOU’LL DO - Set technical direction for platform initiatives spanning multiple teams, connecting architectural decisions to product needs and business priorities. - Identify and lead changes addressing system bottlenecks, reliability risks, and architectural constraints. - Own cross-team initiatives from problem definition and design through implementation, rollout, and evaluation. - Make tradeoffs across reliability, performance, cost, operational complexity, and delivery speed. - Stay hands-on where your contribution matters most, writing code, building prototypes, and helping teams resolve difficult implementation problems. - Partner with engineering and product leaders to prioritize platform investments and sequence work across teams. - Guide major architectural decisions and help teams resolve disagreements with clear reasoning and evidence. - Mentor senior and staff engineers, strengthening their technical judgment and ability to lead across team boundaries. HOW YOU WORK - You bring structure to ambiguous problems and help teams agree on what to solve first. - You pair architectural judgment with hands-on engineering and ownership through delivery. - You build alignment across teams, challenge assumptions, and make decisions when priorities compete. - You favor simple, maintainable designs and understand when added complexity is necessary. QUALIFICATIONS - Proven experience setting technical direction across multiple engineering teams, aligning engineering and product leaders on architectural decisions, priorities, and tradeoffs. - Track record of leading complex, cross-team initiatives from problem definition through production delivery, with measurable improvements in reliability, scalability, performance, or engineering productivity. - 12+ years of software engineering experience, including substantial hands-on experience architecting, building, and operating large-scale distributed systems. - Deep experience designing and operating production systems in cloud environments such as AWS or GCP, with ownership of architectural decisions and their operational outcomes. - Strong hands-on software engineering skills, including writing production code and building prototypes to validate architectural approaches. - Deep expertise in one or more of the following areas, with working knowledge across others: - Cloud infrastructure, container orchestration, and infrastructure as code, such as Kubernetes and Terraform. - Event streaming and real-time processing systems, such as Kafka, Flink, or Beam. - Distributed storage and data systems, including OLAP/OLTP databases, blob storage, and caching. - Ability to explain complex technical tradeoffs, build alignment across teams and senior leadership, and resolve architectural disagreements. - Experience mentoring senior and staff engineers, strengthening their architectural judgment, and developing technical leadership across teams. The base salary range Sentry reasonably expects to pay for this position is $260,000 to $400,000, plus an annual performance bonus of up to 20% of base salary. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Staff Hardware Engineering Program Manager to lead the development of new products. This is a player-coach type role, involving both direct management and project management responsibilities. In this role, you will partner closely with Hardware, Software, Manufacturing, and Creative teams to deliver novel WHOOP hardware. You will be a vital part of the growing Hardware EPM team. RESPONSIBILITIES: - Lead and align multi-disciplinary engineering teams, including Electrical, Mechanical, Firmware, Sensors and Manufacturing, to deliver new WHOOP hardware products. - Manage the engineering project management team dedicated to your program domain, ensuring everyone on your team is working towards the same goals. - Build and maintain visibility to the sub-projects within your domain, advising executive leadership on prioritization and team allocation based on business needs. - Coordinate critical milestones with cross-functional partners, such as Product, Industrial Design, and UX. - Drive clarity and alignment cross-functionally, even when requirements are ambiguous or in-flux. - Manage complex integrated projects from kickoff through launch, keeping in mind performance, schedule, and cost goals. - Create and manage detailed project schedules based on the product goals, balancing timelines, resources, and risks. - Work with the engineering managers to lead the project team through strategic and tactical shifts, keeping everyone focused on the most critical elements of the project. - Drive the development builds from Prototype through DVT with internal and external vendor partners. - Drive prioritization and planning of test activities with the Technical Leads, from focused design-of-experiments (DOEs) to large-scale beta tests. - Communicate project updates and drive key decisions at the executive level. QUALIFICATIONS: - Bachelor’s degree in Engineering or equivalent practical experience in hardware product development - 8+ years of industry experience in consumer electronics - Previous management experience is preferred, but not required. - Demonstrated success managing cross-functional hardware projects from development through market release with multiple products launched to date. - Strong understanding of product component development cycles, lead times, and sourcing processes - Experience communicating with Hardware, Firmware, Manufacturing, and external partners both domestically and internationally - Working knowledge of hardware lead-times and electrical development workflows. - Strong organizational, multi-tasking, and time management skills with the ability to thrive in fast-paced, ambiguous environments. - Excellent communication and stakeholder management skills, both written and verbal. - Ability to travel internationally to support engineering builds (up to 10%). This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $175,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.

Location: San Francisco, CA 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 Design at Anthropic sits at the intersection of craft, research, and product intuition. Design systems is a growing team working on products that millions of people use daily, and on interactions that don't have established conventions yet. Our work shapes how people experience AI: whether Claude feels like a tool or a collaborator, whether it earns trust or erodes it. We partner closely with engineers and researchers, often designing around capabilities that are emerging in real time. That means staying close to the models, prototyping rapidly, and being comfortable with ambiguity. We care deeply about the details that make something feel polished, trustworthy and human. We ship fast and learn in the open. We'd rather get something in front of users and iterate than wait for perfection. The Design Systems team exists to define and elevate the language of our UI and core interactions. Every Claude product, from claude.ai to Claude Code, shares one system, including the guidance Claude itself follows when it generates UI. You would be joining an early-stage team, working with design engineers and product designers across the company. You may be a good fit if you: Are as comfortable designing on canvas tools as you are building and prototyping within the product, and prefer to ship in days, not months. Have worked on design systems that balance simplicity with creative flair to produce beautiful products out of the box. Care about the smallest details as much as the big picture, from a pixel to how the whole app fits together. Make the people around you better through sharp, kind feedback and low ego. Get up to speed quickly and can make an impact on projects already in motion. Key responsibilities Design and evolve the system, from foundations (colour, type, spacing, icons, tokens, theming) to components like menus, dialogs, sidebars and the chat composer. Design the expressive layer as a system, not one-offs: motion, illustration and icons that are brand and system at once. Make the system legible to Claude as well as people: the guidance, metadata and evals that show whether Claude uses it correctly. Partner with product teams: help designers and engineers apply the system well, and feed recurring gaps back into the system. Prototype in code and ship: land changes in the design-system package alongside engineers, using Claude Code in your own practice. Minimum qualifications Strong visual and interaction craft. Experience building or working on a design system. Experience with design tokens, theming and accessibility standards. Fluency in whichever tool gets an idea across fastest, from Figma to code. Preferred qualifications Experience building products at the highest level of craft. Has shipped voice or other beyond-the-screen work, with native mobile instincts. Has designed an icon set, illustration style or motion system used across products. Experience defining evals, lint rules or automated checks for UI quality. 8+ years of product design experience. 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: $305,000 — $385,000 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.

Location: United States Remote; Canada Remote ABOUT THE TEAM At Mural, we’re reimagining how teams think and create together. The Design and Research team brings clarity to complexity, shaping experiences that help people collaborate, ideate, and solve problems visually. We partner deeply with engineering, product, and research to invent the next generation of collaborative work combining craft, systems thinking, and bold exploration. YOUR MISSION As a Lead Product Designer focused on Growth, you’ll define how Mural earns user trust at the moments that matter most when someone first encounters the product's value, decides to go deeper, or chooses to stay. This is end to end growth journey ownership. It's about designing the logic of how Mural grows: the moments where clarity converts, where friction is a design failure, and where the line between growth and product quality either holds or breaks. You'll work across discovery, activation, and pricing surfaces, onboarding paths, upgrade flows, lifecycle touchpoints, and in-product nudges. Most importantly, you'll orchestrate how those surfaces work together and set the standard for how growth design is practiced at Mural. You'll succeed if you can bring full journey thinking, rigor and craft to a domain that often defaults to shortcuts and if you can help a cross-functional team understand what good growth design actually looks like. WHAT YOU'LL DO PLAYER RESPONSIBILITIES (INDIVIDUAL CONTRIBUTOR WORK): - Define high-quality, user-centered discovery, activation, and monetization experiences across problem to success flows, upgrade flows, pricing surfaces, and lifecycle touchpoints — setting patterns that scale across the platform. - Work from concept to production, delivering thoughtful UX, polished visual design, and vibe coded prototypes that help the organization understand direction, risk, and value. - Use behavioral data as a primary design input: interpret funnel metrics, experiment results, and user signals to inform design decisions, not just validate them. - Design and lead experiments across acquisition, activation, and expansion funnels — from hypothesis formation through read-out, in close partnership with product and data science. - Establish reusable growth patterns in Mural's design system that balance clarity, persuasion, and long-term user trust. - Partner with engineers to ensure accurate, high-quality implementation of flows and components. COACHING RESPONSIBILITIES (PRACTICE LEADERSHIP & MANAGEMENT): - Directly manage one to three designers on the growth surface: run regular 1:1s, set goals, give performance feedback, and support their career growth. - Balance IC output with people leadership — this is a hands-on management role, not a full-time management track. Expect the majority of your time to remain in design work. - Model how to hold craft and commercial intent simultaneously — showing peers what it looks like to design for conversion without compromising user trust. - Mentor designers working on growth-adjacent surfaces, developing their instincts around hierarchy, motivation, friction, and funnel thinking. - Contribute to how the team understands growth design as a discipline: a principled approach to earning user commitment. - Champion the relationship between growth quality and product quality, helping leadership understand when they align and when they're in tension. - Partner with research, data science, and product to elevate experimentation quality across the organization. HYBRID RESPONSIBILITIES (BOTH PLAYER & COACH): - Reframe problems at the funnel level helping teams understand where value is earned or lost and why. - Lead workshops or working sessions that bring clarity to pricing, packaging, onboarding, and upgrade moment opportunities. - Collaborate with product, research, and data science to define success metrics, shape experiment hypotheses, and interpret outcomes. - Advocate for user trust as a growth asset, not an obstacle to conversion — and model how design holds that line. DESIGN & RESEARCH TEAM CONTRIBUTION: - Share growth approaches for designing discovery, onboarding, and identity flows with peers through critique and collaboration. - Partner with research, data, and product teams to elevate experimentation quality and improve how Mural understands user value signals. - Contribute to a culture of design excellence, especially in areas where growth and monetization intersect with core product experiences. WHAT YOU’LL BRING - 8+ years of product design experience, ideally in SaaS, productivity tools, collaboration software, or product-led growth environments. - 2+ years of managing other designers - A track record of leading growth, monetization, or conversion-focused design work — not just contributing to it. - Deep fluency in funnel thinking: you understand acquisition, activation, retention, and expansion as a connected system, not isolated moments. - Strong data instincts: you can read behavioral data, interpret experiment results, and use both to sharpen design decisions. - Exceptional craft: visual clarity, spacing, motion, and interaction polish are second nature. - Systems thinking: you understand how decisions cascade across surfaces, journeys, and user relationships over time. - Experience mentoring or leading other designers, even informally — you know how to raise the quality of work around you. - Strong communication skills that help cross-functional partners make smart, user-centered decisions. - Comfort operating in spaces where patterns don’t yet exist and playbooks need to be written. ALSO GREAT IF YOU BRING - Experience with pricing architecture, packaging strategy, or monetization model design. - Deep experience mapping and designing activation journeys — the full arc from first action to genuine value realization. - Hands-on experience using AI-assisted tools and vibe coding to prototype growth flows, simulate behavioral nudges, and stress-test funnel logic in motion — treating code as a design material for rapid exploration. - Background in organic acquisition or activation funnels at scale. - Familiarity with AI-assisted experiences or contextual intelligence in growth flows. - Experience working with data science teams on experimentation frameworks or causal inference. - History of shaping 0→1 growth systems or redesigning broken acquisition or retention loops. WHY YOU’LL LOVE MURAL You’ll help shape how millions of people discover value in Mural, understand what the product can do for them, and make confident choices about their journey. You’ll design experiences that balance business goals with user trust, clarity, and delight. You’ll collaborate with thoughtful partners who care about evidence, craft, and outcomes. At Mural, we “drink our own champagne” and use our product daily to collaborate, ideate, and prototype together. This role is Canada Remote. Your design work will shape how millions of people around the world collaborate. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. EQUAL OPPORTUNITY  We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Location: Netherlands; Spain; Poland Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. AI Process Owner — Transaction Monitoring & Customer Lifecycle Team: AFC Product Operations Focus: Transaction Monitoring — AI alert resolution Scope: Dedicated to AI automation of the transaction monitoring programme within 1LoD, with scope to extend across the customer lifecycle over time At Finom, AI is not just a buzzword. It runs through every element of how we work, and we are implementing it in production, in real processes, with real decisions behind it, with operational teams in the leading role to build AI operational processes. About the role This position sits in our Customer Lifecycle team — the team that monitors the customer from the moment their account is opened at Finom and throughout their entire life with us. That remit covers transaction monitoring, regular (periodic) reviews and general ongoing customer monitoring. This role is specifically focused on transaction monitoring alert resolution, with the possibility to extend scope across the wider customer lifecycle in future, depending on your experience and your success in the position. The role is a full dedication to projects that automate elements of our transaction monitoring programme using AI. Concretely, that means three things: Designing and implementing AI-driven alert resolution — moving work that analysts do manually today into AI-supported and AI-executed flows. Supporting analysts through the transition from manual investigation to AI output validation and model validation — a genuine change in what the job of an analyst looks like. Building AI agents that replace manual work end to end, and defining where an agent can act and where a human must. You will be the person who understands both sides of the equation: what a solid AML framework requires, and what AI can realistically and defensibly do inside that framework. Knowing where the limits are matters as much as knowing what is possible. Key responsibilities Own AI implementation for transaction monitoring alert resolution — from identifying the highest-value manual steps, to specifying the solution, to running it in production. Understand the alert resolution process from pick up to false positive, true positive, or offboarding. Build AI-driven investigation capability — AI-supported investigation of customers, of suspicious transactions, and of behavioural and network patterns across our customer base. Build and iterate on AI agents that take over manual analyst work, with clear boundaries, escalation logic and audit trails. Redesign the alert resolution process around AI: what is automated, what is validated, what stays fully human, and how quality is evidenced. Define the AI/AML boundary — where AI can be used within a transaction monitoring framework, where it cannot, and how we document and defend that position to 2nd Line risk management, audit and regulators. Support and upskill analysts through the transition to model and output validation, including guidance, training and new working procedures. Work hands-on with data — analyse alert and customer data to find inefficiency, false-positive drivers and automation opportunities, and to measure whether changes actually worked. Partner with technical teams and stakeholders — AI team, Data, Engineering, Product, risk management — translating operational and AML needs into technical requirements, and technical constraints back into operational reality. Keep the customer in view — every alert, freeze, request for information and delay lands on a real customer. Efficiency gains should improve, not degrade, the customer experience. Own documentation and process ownership — procedures, decision logic, model rationale and controls kept to audit standard. Key metrics Your success will be measured on the efficiency and optimisation of the process, including: Reduction in manual handling time per alert (cycle time) and in overall alert backlog. Share of alerts resolved or pre-processed by AI, at maintained or improved quality. Quality and defensibility of AI-assisted decisions — measured through QA, validation sampling and audit outcomes. Analyst capacity released Customer-facing impact: fewer unnecessary touchpoints, faster resolution About you 3+ years of experience in a fintech, bank, EMI or PSP environment, in transaction monitoring and AML. Hands-on experience in first line of defence alert resolution — you have worked alerts yourself and know what makes them slow, noisy or hard to close. Solid understanding of AML frameworks and, critically, how to apply them to resolve alerts in practice rather than in theory. Genuinely AI-oriented — you already use AI across your own work and have experience implementing AI in projects, not just experimenting with it. Clear view of the limits of AI within a transaction monitoring framework — what can be automated, what needs human judgement, and what regulators and auditors will accept. Technically minded with strong data analysis skills. Comfortable working with data tools such as Databricks, Metabase and Power BI; SQL is a real advantage. Customer-minded — you treat customer impact as a first-order consideration, not a side effect. Structured, pragmatic and comfortable owning a process end to end in a fast-moving environment. Professional fluency in English. Nice to have Experience building or deploying AI agents or LLM-based workflows in a regulated or operational setting. Exposure to model validation, model risk management or AI governance Experience with transaction monitoring vendor systems and rule tuning / threshold optimisation. Background in periodic reviews, KYC/CDD or ongoing customer due diligence — relevant if the scope extends across the customer lifecycle. Experience with SAR/STR reporting Python or similar for data work and prototyping. What's in it for you A rare combination: a real AML mandate and a real AI mandate in the same role. You are not advising on automation from the sidelines — you are building it and owning the outcome. Genuine ownership. This is a process owner role: the decisions on how transaction monitoring works sit with you. Visible impact from day one, on a programme that directly affects both our regulatory standing and thousands of customers' experience. Room to grow — scope can expand across the wider customer lifecycle as you deliver. Direct collaboration with Compliance, Risk, Data, Product and Engineering leadership in a fast-scaling European fintech. International, remote-friendly team and a culture that rewards initiative over process for its own sake. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Poland; Netherlands; Spain Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. AI Process Owner — Transaction Monitoring & Customer Lifecycle Team: AFC Product Operations Focus: Transaction Monitoring — AI alert resolution Scope: Dedicated to AI automation of the transaction monitoring programme within 1LoD, with scope to extend across the customer lifecycle over time At Finom, AI is not just a buzzword. It runs through every element of how we work, and we are implementing it in production, in real processes, with real decisions behind it, with operational teams in the leading role to build AI operational processes. About the role This position sits in our Customer Lifecycle team — the team that monitors the customer from the moment their account is opened at Finom and throughout their entire life with us. That remit covers transaction monitoring, regular (periodic) reviews and general ongoing customer monitoring. This role is specifically focused on transaction monitoring alert resolution, with the possibility to extend scope across the wider customer lifecycle in future, depending on your experience and your success in the position. The role is a full dedication to projects that automate elements of our transaction monitoring programme using AI. Concretely, that means three things: Designing and implementing AI-driven alert resolution — moving work that analysts do manually today into AI-supported and AI-executed flows. Supporting analysts through the transition from manual investigation to AI output validation and model validation — a genuine change in what the job of an analyst looks like. Building AI agents that replace manual work end to end, and defining where an agent can act and where a human must. You will be the person who understands both sides of the equation: what a solid AML framework requires, and what AI can realistically and defensibly do inside that framework. Knowing where the limits are matters as much as knowing what is possible. Key responsibilities Own AI implementation for transaction monitoring alert resolution — from identifying the highest-value manual steps, to specifying the solution, to running it in production. Understand the alert resolution process from pick up to false positive, true positive, or offboarding. Build AI-driven investigation capability — AI-supported investigation of customers, of suspicious transactions, and of behavioural and network patterns across our customer base. Build and iterate on AI agents that take over manual analyst work, with clear boundaries, escalation logic and audit trails. Redesign the alert resolution process around AI: what is automated, what is validated, what stays fully human, and how quality is evidenced. Define the AI/AML boundary — where AI can be used within a transaction monitoring framework, where it cannot, and how we document and defend that position to 2nd Line risk management, audit and regulators. Support and upskill analysts through the transition to model and output validation, including guidance, training and new working procedures. Work hands-on with data — analyse alert and customer data to find inefficiency, false-positive drivers and automation opportunities, and to measure whether changes actually worked. Partner with technical teams and stakeholders — AI team, Data, Engineering, Product, risk management — translating operational and AML needs into technical requirements, and technical constraints back into operational reality. Keep the customer in view — every alert, freeze, request for information and delay lands on a real customer. Efficiency gains should improve, not degrade, the customer experience. Own documentation and process ownership — procedures, decision logic, model rationale and controls kept to audit standard. Key metrics Your success will be measured on the efficiency and optimisation of the process, including: Reduction in manual handling time per alert (cycle time) and in overall alert backlog. Share of alerts resolved or pre-processed by AI, at maintained or improved quality. Quality and defensibility of AI-assisted decisions — measured through QA, validation sampling and audit outcomes. Analyst capacity released Customer-facing impact: fewer unnecessary touchpoints, faster resolution About you 3+ years of experience in a fintech, bank, EMI or PSP environment, in transaction monitoring and AML. Hands-on experience in first line of defence alert resolution — you have worked alerts yourself and know what makes them slow, noisy or hard to close. Solid understanding of AML frameworks and, critically, how to apply them to resolve alerts in practice rather than in theory. Genuinely AI-oriented — you already use AI across your own work and have experience implementing AI in projects, not just experimenting with it. Clear view of the limits of AI within a transaction monitoring framework — what can be automated, what needs human judgement, and what regulators and auditors will accept. Technically minded with strong data analysis skills. Comfortable working with data tools such as Databricks, Metabase and Power BI; SQL is a real advantage. Customer-minded — you treat customer impact as a first-order consideration, not a side effect. Structured, pragmatic and comfortable owning a process end to end in a fast-moving environment. Professional fluency in English. Nice to have Experience building or deploying AI agents or LLM-based workflows in a regulated or operational setting. Exposure to model validation, model risk management or AI governance Experience with transaction monitoring vendor systems and rule tuning / threshold optimisation. Background in periodic reviews, KYC/CDD or ongoing customer due diligence — relevant if the scope extends across the customer lifecycle. Experience with SAR/STR reporting Python or similar for data work and prototyping. What's in it for you A rare combination: a real AML mandate and a real AI mandate in the same role. You are not advising on automation from the sidelines — you are building it and owning the outcome. Genuine ownership. This is a process owner role: the decisions on how transaction monitoring works sit with you. Visible impact from day one, on a programme that directly affects both our regulatory standing and thousands of customers' experience. Room to grow — scope can expand across the wider customer lifecycle as you deliver. Direct collaboration with Compliance, Risk, Data, Product and Engineering leadership in a fast-scaling European fintech. International, remote-friendly team and a culture that rewards initiative over process for its own sake. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Paris Workplace: OnSite About Voodoo Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. Team Blitz is a gaming platform launched by Voodoo in 2021, allowing players to compete on mobile games for real cash prizes (head-up, tournaments, leagues, etc.). It is leveraging Voodoo’s unique game portfolio to engage users in a fun and rewarding way. Role We are looking for a talented Game Developer, deeply passionate about gameplay, who will play a key role in the development of Blitz, our real-money gaming platform. - Create mobile games for Blitz platform - Support and contribute new ideas to game features  - Write robust code to be used by millions of players around the world - Deconstruct and analyze mobile games mechanics - Iterate on each prototype thanks to the publishing feedback  Profile - You are interested in hybrid / casual games and have a track record with successful mobile games - You have at least 3 years of professional experience on Unity - You have a creative and hacker mindset - You teamplay, contribute, challenge, and you are a benign listener - You have a good sense of gameplay experience and special attention to details - You speak and write English  Benefits - Competitive salary upon experience - Swile Lunch voucher - Gymlib (100% borne by Voodoo) - Premium healthcare coverage SideCare, for your family 100% borne by Voodoo - Wellness activities in our Paris office - Remote days on Fridays

Location: Ukraine; North Macedonia; Turkey; European Union; Serbia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE We are looking for a hands-on Senior CRO Manager to drive conversion growth for one of our core D2C subscription products. You will be fully responsible for a continuous pipeline of A/B tests - from hypothesis and prioritisation through launch, analysis, and documented verdicts - working with the CRO Lead to grow the number of statistically validated winners across the funnel. This is a high-impact role suited for someone who treats experimentation as a system, not a list of ideas. Tests without a clear hypothesis, verdicts called before the evidence supports them, and results that are not documented are not acceptable. You are expected to know the funnel numbers, segment before you conclude, and work closely with the data team, product, and engineering. The bar is high and so is the upside - performance here is directly and significantly rewarded, and strong operators take on bigger scope fast. KEY RESPONSIBILITIES - Experiment Pipeline: Own the A/B test backlog from hypothesis to launch. Prioritise ideas by expected impact, confidence, and effort, and keep the pipeline full so live traffic is always being used to learn. - Funnel Analysis: Analyse the funnel in Mixpanel to find drop-offs, friction points, and segment-specific opportunities across devices and locales, and turn them into testable hypotheses. - Test Analysis & Verdicts: Read results with statistical rigour, separate winners from directional trends and noise, and prepare clear verdicts for sign-off with the data team. - Test Specification & QA: Write test specs and variant briefs that developers can build without follow-up questions, and check every variant before and after launch. - Conversion Copy & Layouts: Produce conversion-oriented copy and layout variants that stay within compliance constraints on product claims. - Documentation & Reporting: Keep every test documented in Notion with hypothesis, setup, result, and learning, and contribute to regular experimentation reporting for leadership. - Mentoring: Support a junior CRO specialist on test design, analysis, and documentation standards. QUALIFICATIONS - Must-Have Experience - CRO / Experimentation: 3+ years running A/B tests on a D2C subscription or consumer web product, with results you can attribute to your own work. - Product Analytics: Hands-on proficiency in Mixpanel or a close equivalent - building funnels, segmenting by device and geography, and reading cohort behaviour without analyst support. - Statistics: Working knowledge of significance, power, sample size, and common pitfalls such as peeking and sample ratio mismatch. - Experimentation Platforms: Experience with a feature-flag or A/B testing platform (GrowthBook, Statsig, or close equivalents). - Conversion Copy & UX: Ability to write and critique conversion copy and page layouts, grounded in behavioural psychology. - AI Tooling: Active daily use of AI tools (Claude or equivalent) to accelerate concept, analysis, and prototype work. - Compliance: Familiarity with consumer protection rules for subscription products and marketing claims is a bonus. Leadership Attributes - Holds a high bar for their own work and the team's - tests ship clean, documented, and correctly called - Constantly learns and adopts new tools and methods - Ambitious - driven to build large-scale products used by millions - Explains decisions clearly in writing - a hypothesis, a verdict, or a prioritisation call can be understood without a meeting - Communicates clearly and proactively in a remote, async environment LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (60 minutes) - Final Interview (60 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Location: Remote - US About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud, managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We’re seeking a B2 Principal Product Manager to join our team! About the Role We are seeking an ambitious and accomplished Principal Product Manager to join our Product team. Backblaze’s B2 cloud object storage offers multi-exabyte, S3-compatible, globally available object storage that unlocks app builder innovation across AI neoclouds and traditional hyperscalers at a fraction of the cost of traditional cloud infrastructure hyperscalers. The Principal Product Manager for B2 will work closely with key stakeholders to understand the evolution of cloud storage and the customer problems in the space, and determine product strategies and roadmap to address those problems. This person will work independently to lead efforts for new feature discovery and delivery, as well as improvements to execute on those strategies. Understanding customer problems through interviews and market research, and translating them into requirements, is critical. What You'll Do Drive B2 product strategy and roadmap development through delivery execution. Lead the end-to-end product development lifecycle from discovery through delivery in feature development. Gather and synthesize inputs for discovery and prioritization from internal functions, customers, and partners across the full spectrum of R&D development, including feature capabilities, user experience challenges, cost optimization, and technical debt. Translate complex customer challenges into clear, concise, and actionable product requirements in collaboration with Design, Engineering, and GTM teams. Collaborate with Product Marketing to launch and drive adoption of new products and features. Act as a subject matter expert and evangelist for Backblaze's solutions, presenting to customers, prospects, partners, and internal teams. Establish and track key product metrics (KPIs), using data to guide iteration and growth decisions. Maintain a deep understanding of the latest advancements in the object storage market, including customer use cases and competitive offerings, to identify new opportunities and ensure Backblaze’s market leadership position. The Right Fit 8+ years of Product Management experience in tech businesses, preferably on IaaS and/or SaaS offerings. A proven track record of successfully launching and scaling technical products or platforms in high-growth businesses involving in-depth cross-functional collaboration and leadership across R&D and go-to-market functions. Strong grasp of cloud architecture, APIs, and security and compliance. Proven success in owning product roadmaps, defining MVPs, and driving the complete product life cycle. Strategic thinker who can translate market trends, customer needs, and technical innovations into a clear product vision and actionable roadmap. Deep empathy for customers and users in gathering and synthesizing input, and a passion for solving their most pressing security challenges. Outstanding communication and leadership skills with a collaborative and team-oriented approach to identifying problems, determining potential solutions, and building consensus around your vision with internal and external stakeholders. Excellent written and verbal communication skills. Experience applying data and metrics to inform product decisions and measure success. Bonus Points For Expertise in cloud storage and computing from hyperscale and neocloud providers, such as AWS, Azure, GCP, GPU clouds, and CDNs. Bachelor's degree in Computer Science, Engineering, or a related field. MBA degree. Application development programming experience. Expertise in applying GenAI in solution prototyping and agentic workflow development. Backblaze Perks RSU grants for full-time employees. Annual company bonus plan. Healthcare for family, including dental and vision. 401K. ESPP program. Flexible vacation policy. Maternity and paternity leave. MacBook Pro for work, plus a generous stipend to personalize your workstation. Childcare bonus (human children only). Fertility treatment and support. Learning and development program. Commuter benefits. A culture that supports a healthy work-life balance. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses or credentials, and may vary from the amounts listed below. The expected salary range for this role is $225,000 to $250,000. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

Location: New York City (Hybrid) ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As a Design Intern at OnePay, you’ll work alongside the Design team to support product discovery, competitive analysis, interaction design, prototyping, and design systems work across active initiatives. You’ll gain hands-on exposure to how a fast-moving fintech builds and scales product design. - Team Integration: You’ll be paired with Design team members and work alongside Product and Engineering partners, with opportunities to collaborate with Analytics. You’ll participate in design reviews, critiques, product discovery, and competitive analysis. - Real-World Projects: You’ll support product discovery, competitive analysis, interaction design, and prototyping, and contribute to our design system while working on real product surfaces from concept through execution. - Skill Building & Career Growth: Throughout the internship, you’ll attend workshops focused on technical skills, resume building, interview prep, and professional development. You’ll also have the chance to engage with company leadership during networking events. - Mentorship: Receive guidance and feedback from your manager, as well as a dedicated mentor who will help you navigate your internship experience, ensuring continuous learning and growth. YOU BRING - In Your Final Year of Undergrad: You’re a current Bachelor’s student expected to graduate in Fall 2027 or Spring 2028, majoring in Design, HCI, Interaction Design, Visual Design, or a related field. - Prior Experience: You’ve completed at least one previous internship, or have built a portfolio of substantial personal or academic design projects you’re excited to talk through. - Availability: This is a full-time, 8-week program running June 21 - August 13, 2027. You are available to work in our New York City office at least 3-4 days a week throughout the entire program. - Proactive & Collaborative Attitude: You have an act-like-an-owner mentality, thrive in a fast-moving environment, and enjoy working with others to achieve collective goals. - Critical Thinking & Problem-Solving Skills: You enjoy tackling complex challenges, analyzing problems, and developing solutions. Clear communication of ideas is one of your strengths. - Organized & Detail-Oriented: You’re a keen listener with strong organizational skills, capable of managing multiple tasks efficiently. - Excited to Learn & Grow: You are passionate about being part of a rapidly growing organization and look forward to expanding your skills in a real-world setting. WHAT WE OFFER - Early access to a high potential, high growth fintech - Hands on experience - Beautiful NYC SoHo Office - Professional development and team social outings PROGRAM & APPLICATION TIMELINE - Program runs June 21 - August 13, 2027 (8 weeks, full-time, in our NYC office) - We review applications and conduct interviews on a rolling basis as they come in - No offer decisions will be made until the application window closes – all candidates are evaluated together before final decisions go out - We are targeting a finalized cohort by December 1, 2026 - If there are intern spots still available, we may reopen applications in Spring 2027 Work Authorization: OnePay will not sponsor applicants who need employment sponsored visas for this position. Future sponsorship will not be considered. STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As an AI Research Intern, your mandate is to research and prototype foundation models, both transformer-based and graph-based, applied to OnePay's customer, transaction, and merchant data. You'll work on real modeling problems and build a working prototype that demonstrates the approach. This role will impact OnePay's vision by providing a remarkable customer experience, driving positive business outcomes, and improving operational efficiency. You will work closely with the product, engineering and applied science team(s) working across all business units. This role reports to the Head of AI/ML. This role is responsible for: - Research, design, and train foundation models on OnePay's data, working with transformer and/or graph-based architectures. - Run experiments, evaluate results rigorously, and turn promising findings into a working prototype. - Opportunity to work in an extremely fast paced growing company - Partner with Product, Engineering and Analytics teams to ensure we are providing a remarkable customer experience. - Driving significant impact on the company’s bottom line. YOU BRING - Final-Year Graduate Student: You’re in the final year of a master’s or PhD program, expected to graduate in Fall 2027 or Spring 2028, majoring in Engineering or a related field. - Deep Learning Fundamentals: You have a strong grasp of how neural networks work under the hood, including backpropagation, attention, embeddings, optimization, and training dynamics. You've implemented, trained, or fine-tuned models yourself through research, coursework, or personal projects, and you're comfortable working in PyTorch or an equivalent framework. - Prior Experience: You've completed at least one previous internship in research, machine learning, or software engineering, or have built substantial personal or academic projects you're excited to talk through. - Availability: This is a full-time, 8-week program running June 21 - August 13, 2027. You are available to work in our New York City office at least 3-4 days a week throughout. - Proactive & Collaborative Attitude: You have an act-like-an-owner mentality, thrive in a fast-moving environment, and enjoy working with others to achieve collective goals. - Critical Thinking & Problem-Solving Skills: You enjoy tackling complex challenges, analyzing problems, and developing solutions. Clear communication of ideas is one of your strengths. - Organized & Detail-Oriented: You’re a keen listener with strong organizational skills, capable of managing multiple tasks efficiently. - Excited to Learn & Grow: You are passionate about being part of a rapidly growing start-up and look forward to expanding your skills in a real-world setting. NICE TO HAVE - Familiarity with transformer-based foundation model architectures, including pre-training, fine-tuning, inference, and the tradeoffs between approaches. - Exposure to graph-based learning or graph foundation models, such as GNNs, message passing, or representation learning on graph-structured data. - Coursework or projects involving Large Language Models or Generative AI. - Research output in any of the above: publications, workshop papers, or open-source contributions. WHAT WE OFFER - Early access to a high potential, high growth fintech - Hands on experience building product ready to ship - Beautiful NYC SoHo Office - Professional development and team social outings PROGRAM & APPLICATION TIMELINE - Program runs June 21 - August 13, 2027 (8 weeks, full-time, in our NYC office) - We review applications and conduct interviews on a rolling basis as they come in - No offer decisions will be made until the application window closes – all candidates are evaluated together before final decisions go out - We are targeting a finalized cohort by December 1, 2026 - If there are intern spots still available, we may reopen applications in Spring 2027 Work Authorization: OnePay will not sponsor applicants who need employment sponsored visas for this position. Future sponsorship will not be considered. STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Remote (US); San Francisco, CA; New York, NY (HQ) Workplace: Remote ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp is looking for an experienced Solutions Architect, Procurement (Pre-Sales, Enterprise) to serve as the technical and functional expert for Procurement and Procure-to-Pay (P2P) within our Solutions organization. This role is designed for someone who brings deep procurement domain expertise, technical implementation knowledge, and architect-level solution design skills to accelerate Ramp’s most complex, high-value enterprise evaluations. You will support enterprise Account Executives and Solutions Consultants in running sophisticated procurement cycles end-to-end — leading deep discovery, validating technical requirements, designing future-state workflows, and creating pre-sale implementation plans that ensure a seamless handoff to onboarding. You will act as Ramp’s primary procurement SME in the sales cycle and will partner cross-functionally with Product, Engineering, and Post-Sales Solutions to influence roadmap and shape how Ramp’s procurement offering evolves. This is a highly visible, customer-facing role ideal for former P2P implementers, procurement architects, or senior-level SCs with technical depth. WHAT YOU'LL DO LEAD TECHNICAL DISCOVERY AND SOLUTION DESIGN - Conduct deep-dive discovery sessions on procurement workflows, vendor management, sourcing, approvals, catalog strategy, and 3-way match requirements - Map customer procurement requirements to Ramp’s capabilities, identifying gaps and designing scalable workarounds - Analyze ERP configurations and data structures (Vendor Master, PO, Invoice, Receipt) to ensure compatibility with Ramp’s deployment patterns DRIVE TECHNICAL VALIDATION AND PRE-SALE IMPLEMENTATION PLANNING - Build pre-sale implementation plans (phases, timelines, dependencies) to eliminate re-discovery during onboarding - Conduct integration assessments, including API workflow validation, SFTP/data exchange requirements, and security/permissions modeling - Create workflow prototypes, configurations, and proof-of-concepts when needed to accelerate technical validation PARTNER WITH SALES TO WIN COMPLEX ENTERPRISE DEALS - Operate as the procurement technical lead in enterprise opportunities - Join high-value and complex P2P evaluations as the primary procurement SME, either as an overlay or as the lead SC for procurement-first deals - Quantify customer pain, run gap analyses, and translate procurement challenges into measurable ROI and value propositions INFLUENCE PRODUCT AND GTM STRATEGY - Provide structured feedback to Product on gaps, customer needs, and market trends - Help shape Ramp’s procurement roadmap and competitive positioning - Maintain a bird’s-eye view of the procurement technology landscape to inform strategic decisions ENSURE SEAMLESS HANDOFF TO ONBOARDING - Document all procurement requirements, decisions, and implementation guidance in a standardized format - Partner closely with Implementation and Technical Consulting teams to ensure they begin activation without additional discovery - Maintain consultative availability throughout onboarding when complex escalations arise TRAVEL - Travel up to 30%+ for onsite discovery workshops, executive briefings, and solution validation sessions WHAT YOU NEED - 8+ years of experience in Procurement, P2P, ERP, or similar technical implementation roles - Deep understanding of end-to-end procurement processes, including sourcing, procurement operations, vendor management, AP, bill pay, and contract workflows - Hands-on experience designing or implementing P2P solutions (Coupa, Ariba, Zip, Ivalua, Workday, NetSuite, etc.) - Strong technical acumen — API experience required, plus familiarity with SFTP, integrations, data migration, SCIM/SAML, and ERP financial objects - Experience running enterprise evaluations with C-suite and VP-level stakeholders - Exceptional communication and storytelling skills with the ability to translate complex workflows into clear solutions - Ability to design future-state workflows and build pre-sale implementation plans NICE TO HAVE - Certifications in Coupa, Ariba, Workday, or other ERP/P2P platforms - SQL or scripting familiarity - Experience working closely with Product teams to influence roadmap BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Senior Electrical Engineer to play a key role in the electrical architecture, design, and development of next-generation power and charging systems for WHOOP wearable technology. As a member of the Hardware Engineering team, you will own critical electrical architectures, designs, and subsystems, translating product and system requirements into robust, highly integrated hardware. You will work closely with Electrical, Mechanical, Firmware, Systems, Manufacturing, Supply Chain, and Product teams to make critical design tradeoffs, solve complex technical challenges, and drive electrical systems from early development through validation and high-volume production. RESPONSIBILITIES: - Own electrical architectures, designs, and subsystems, translating product and system requirements into electrical specifications, component selections, schematics, and production-ready hardware - Design highly integrated, miniaturized, low-power, mixed-signal electronics, making informed tradeoffs across performance, power, size, cost, reliability, manufacturability, and schedule - Drive electrical designs through schematic capture, PCB layout and design review, prototype bring-up, characterization, debugging, design iteration, verification, and production readiness - Partner closely with Electrical, Mechanical, Firmware, Systems, Manufacturing, and other engineering teams to define interfaces, resolve system-level challenges, and ensure electrical designs perform reliably within the complete product - Evaluate new components, technologies, and design approaches to improve electrical system performance, address technical risks, and enable future product capabilities - Support new product introduction (NPI) and high-volume manufacturing through design for manufacturability, functional testing, failure analysis, and production ramp, partnering with suppliers and contract manufacturers and traveling up to 15% domestically and internationally as needed QUALIFICATIONS: - Bachelor's degree in Electrical Engineering or a related technical field, or equivalent practical experience - 5+ years of relevant electrical engineering experience, with demonstrated ownership of electrical hardware designs through development, prototyping, validation, or production - Strong electrical engineering fundamentals across analog and digital circuit design, power architecture and management, component selection, communication interfaces, and debugging of complex electrical systems - Demonstrated experience designing highly integrated electronics, including schematic capture, PCB design and layout review, and making architecture-, component-, and subsystem-level design tradeoffs - Experience with ECAD tools such as Altium or equivalent - Strong hands-on hardware development skills, including prototype bring-up, circuit characterization, debugging, and use of electrical test and measurement equipment - Strong analytical and problem-solving skills, with the ability to independently drive ambiguous technical problems, make sound engineering decisions, and collaborate effectively across multidisciplinary teams - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $140,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: San Francisco, CA • New York, NY 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’s Data Science team partners across product, engineering, design, marketing, sales, and operations to help Figma make better decisions with data. As a PhD Data Science Intern, you’ll bring rigorous research training to some of Figma’s most important and open-ended questions, from researching emerging product and user behaviors and Figma’s broader ecosystem to developing new measurement methodologies, applying causal inference or machine learning, and building analytical systems. You’ll own a data science project end-to-end: from framing the question and methodology to translating findings into insights that influence Figma’s products, strategy, or data science practices; with the potential to continue toward publication after the internship. This internship will be based out of our San Francisco or New York hub. What you’ll do at Figma: Partner with cross-functional teams to turn ambiguous product, platform, or business questions into well-defined data science problems Analyze user, product, or business data to uncover insights and recommend actions Design and evaluate experiments, metrics, statistical or machine learning models, and analytical frameworks Communicate assumptions, tradeoffs, limitations, and recommendations clearly to technical and non-technical partners Own a focused internship project end-to-end, from problem framing and technical execution through final recommendations, with potential to continue toward publication after the internship We’d love to hear from you if you have: Currently pursuing a PhD in Data Science, Statistics, Computer Science, Human-Computer Interaction (HCI), Economics, Operations Research, Physics, Applied Mathematics, or a related quantitative field; with demonstrated experience conducting independent research (e.g. thesis or equivalent research milestone) Demonstrated fluency in one or more research methodologies or technical areas, such as statistics, experimentation, machine learning, causal inference, econometrics, optimization, user research methods, or AI/LLMs Experience using a scripting language such as Python or R, as well as proficiency with SQL, for analysis, modeling, or work with complex or large-scale datasets through research, internships, or applied projects Ability to explain technical concepts clearly and connect analysis to decisions, recommendations, or product/business impact A curious, rigorous, and self-starting mindset, with the ability to thrive in ambiguous, fast-moving environments and translate research into real-world impact While it's not required, it's an added plus if you also have: Prior industry or applied research experience with experimental design, causal inference, forecasting, product measurement, user research, or applied machine learning to influence product, business, platform, or stakeholder decisions Publications or research relevant to applied data science Experience or interest in AI product measurement, LLM analytics/evaluation, recommendation systems, search, personalization, or evaluating AI-powered features 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. Pay Transparency Disclosure This internship role is based in either Figma’s San Francisco or New York hub offices, and has the hourly base pay rate stated below.  Figma also offers interns a housing stipend and travel reimbursement. Figma’s compensation and benefits are subject to change and may be modified in the future. Internship $68 — $68 USD 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: United Kingdom, London 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. Role Overview: We are seeking a Senior Director to lead our Enterprise Reporting and Analytics Engineering organization, a team of analytics engineers, report developers, visualization specialists, and people leaders. This organization focuses on the last mile of the enterprise data supply chain: the semantic models, curated data products, metric definitions, and consumption experiences that turn engineered data into decisions. This is not a traditional reporting leadership role; the classic notion of “reporting” in the form of a myriad of dashboards and filters is racing towards obsolescence. But the need for data and insights, and the need to deliver it in a way that is digestible and actionable, is timeless. Yes, governed dashboards and trusted reporting remain the foundation, and this leader must be excellent at that foundation. But the mandate is to move the organization decisively beyond static reporting toward a proactive, intelligent analytics capability: partnering with Data Science to productize and visualize their models, enabling generative AI and LLM-based access to our data, building exception-based systems that alert users when outcomes deviate from expectation in a statistically meaningful way, and designing agents that monitor data continuously and deliver insight without being asked. Analytics engineering shares much of its DNA with data engineering — modeling, transformation, testing, version control, CI/CD, performance and cost discipline — but is oriented toward business enablement rather than platform and pipeline. Success in this role therefore depends as much on partnership as on technical depth. This leader will work shoulder to shoulder with Data Engineering on the boundary between platform and consumption, with Product Management on roadmap and requirements, with Data Science on advanced analytic products, and with Analytics Operations on a disciplined intake and prioritization process that makes the best possible use of finite capacity. The ideal candidate has spent years building the traditional foundations — governance, metadata, lineage, dimensional modeling, engaging with enterprise BI platforms— and is now looking to apply that rigor to a fundamentally different generation of analytic products in new and innovative ways. What you'll be doing: Organizational Leadership Lead, coach, and develop an organization of approximately 30 people, including managing through frontline managers; own hiring, role clarity, career pathing, performance management, and succession planning. Define a multi-year vision and roadmap for enterprise reporting and analytics engineering, and translate it into quarterly outcomes the team and its partners can measure. Partner closely with Product Management to jointly shape the multi-year enterprise end-to-end data strategy. Own the organization's budget, vendor relationships, and contractor or offshore capacity. Establish and sustain an engineering culture within an analytics function: peer review, automated testing, documentation standards, source control, CI/CD, etc. Analytics Engineering and Data Architecture Drive maturity of the last-mile architecture in partnership with Data Engineering: curated marts, semantic layers, reusable data products, and certified datasets that serve reporting, ai enablement, data science, and downstream applications. Define and enforce dimensional modeling standards, transformation frameworks, and modular, tested, version-controlled analytics code. Own the enterprise metric layer so that key business measures carry a single, governed definition regardless of where they are consumed. Partner with Data Engineering to define clear contracts and handoffs between pipeline and platform work and last-mile modeling, including shared tooling, standards, and escalation paths. Manage query performance, warehouse consumption, and platform cost as first-class engineering concerns. Data Governance, Metadata, and Lineage Own cataloging, business glossary, data certification, and stewardship workflows, leveraging tools such as Atlan as the primary metadata platform. Maintain column-level lineage across the analytics estate to support impact analysis, change management, audit, and root-cause investigation. Leverage data access provisioning and entitlement models, including row- and column-level security, in partnership with Security, Privacy, and Compliance. Collaborate with Data Engineering to drive data quality monitoring, freshness and availability SLAs, observability, and incident response for analytic assets. Enterprise Reporting and Data Visualization Drive analytics engagement by leveraging enterprise visualization and provisioning platforms, including Domo and Tableau, in partnership with Data Engineering. Ensure best practices are followed in data architecture, governance, adoption, performance, and total cost management. Set visualization and information design standards that make reports readable, consistent, accessible, and decision-oriented. Rationalize the existing reporting portfolio: retire redundant and unused assets, consolidate overlapping content, drive down tech debt and drive consumption toward certified sources. Build a durable self-service capability through training, templates, community, office hours, and clear guardrails on what belongs in self-service versus centrally managed content. Advanced, Proactive, and AI-Enabled Analytics Partner with Data Science to productize their work: build the visualization, interaction, monitoring, and feedback loops that turn models and research into products the business actually uses. Partner with Product Management and Data Engineering to enable generative AI and LLM access to enterprise data. This includes preparing the semantic and metadata foundation that makes data legible to models, delivering conversational analytics, text-to-SQL, and retrieval-augmented experiences on governed sources, and establishing guardrails, evaluation, and accuracy monitoring so that answers can be trusted. Build exception-based analytics that detect when an outcome deviates from its expected value in a statistically significant way, using seasonality-aware baselines, forecast residuals, control limits, and anomaly detection rather than static thresholds. Route those exceptions to accountable owners with context, likely drivers, and a recommended next action; actively tune sensitivity and volume to prevent alert fatigue and preserve signal. Design and deploy analytic agents that proactively monitor data, investigate variances, assemble narrative explanations, and deliver insight into the tools where people already work. Shift the organization's consumption model from pull to push: the measure of success is not how many people opened a dashboard, but whether the right person was told the right thing at the right time. Cross-Functional Partnership, Intake, and Prioritization Operate as a true partner to Product Management: contribute to roadmap, requirements, user research, and release planning, and run analytics with a product mindset covering personas, adoption metrics, and asset lifecycle management. Partner with Analytics Operations to run a transparent intake, triage, sizing, and prioritization process, with published capacity, explicit tradeoffs, and reliable delivery commitments. Make capacity constraints visible to stakeholders and executives, drive reuse over one-off builds, and decline or defer work with evidence rather than friction. Serve as a senior, executive-facing partner to business functions, translating ambiguous business questions into well-scoped analytic solutions. What we're looking for: Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics, Mathematics, Economics, or a related quantitative field; equivalent professional experience will be considered. 15+ years of progressive experience in data, analytics, or business intelligence, including 8+ years leading teams and 4+ years managing managers. Demonstrated experience leading an organization of 25 or more people in a large, matrixed enterprise. Strong hands-on foundation in SQL, dimensional modeling, and ELT/ETL design, with production experience on a modern cloud data warehouse or lakehouse (for example Snowflake, Databricks, BigQuery, Redshift, or Synapse) and a transformation framework such as dbt. Experience applying software engineering practices to analytics work, including Git-based workflows, automated testing, and CI/CD. Enterprise-scale leveraging of BI and data visualization platforms such as Domo, Tableau, Power BI, or Looker, including governance, provisioning, adoption, and cost management. Demonstrated ability to participate in driving data governance program covering catalog, lineage, glossary, stewardship, quality, and access, using platforms such as Atlan, Collibra, Alation, or Informatica. Proven track record of delivering jointly with Data Engineering and Product Management, with clear ownership boundaries and shared accountability. Direct experience partnering with Data Science, including operationalizing, visualizing, and monitoring model output for business consumption. Working command of the statistical concepts underlying exception detection, including hypothesis testing, confidence intervals, variance and control limits, seasonality, and forecasting. Experience running a formal intake, prioritization, and capacity planning process for a shared services or platform organization. Excellent executive communication and influence skills, with the ability to operate effectively amid ambiguity and competing priorities. Experience managing budget, vendor contracts, and platform licensing. Preferred Skills: Master's degree or MBA in a related field. Production experience delivering LLM-based analytics: retrieval-augmented generation over governed data, text-to-SQL or conversational BI, semantic layers designed for model consumption, and prompt, evaluation, and cost monitoring frameworks. Experience designing agentic workflows and orchestration for monitoring, investigation, and notification use cases. Hands-on experience with Atlan, Domo, and Tableau specifically. Proficiency in Python or R for prototyping, and familiarity with common statistical and ML libraries and MLOps concepts. Experience deploying anomaly detection at scale, including alert routing, suppression, and fatigue management. Familiarity with data product and data mesh operating models, domain-aligned ownership, and data contracts. Experience operating in an Agile or product operating model at scale, including portfolio, OKR, and roadmap management. Deep experience with the “Silicon Valley” school of Product Management, as exemplified by the “Marty Kagan”-style academic approach a significant plus. Experience leading global or matrixed teams, including offshore or vendor-partnered delivery models. Track record leading a major platform migration, consolidation, or reporting rationalization effort. Demonstrated success attracting, developing, and retaining senior technical talent in a competitive market. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: San Francisco, CA • New York, NY • United States 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! We are looking for a Data Platform Engineer to join our Data Engineering team and help build the foundational systems that power Figma’s next generation of AI-driven products and data experiences. This is a unique opportunity to be an early engineer shaping Figma’s ML and data platform, enabling everything from self-serve analytics to production-grade AI systems. You’ll work at the intersection of data, infrastructure, and machine learning, building scalable systems that empower Data Science, unlock AI capabilities across the company, and bring data and models closer to the product experience. This is a full-time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Build and evolve the shared data platform that powers analytics, Data Science, and data-driven product development at Figma Make data development faster and easier by improving local development, testing, CI/CD, staging, and deployment workflows Create self-service tools and clear paths for teams to build, deploy, and operate reliable data pipelines Improve the reliability of critical data systems through better monitoring, data quality, incident response, upgrades, and performance management Make trusted data easier to find and use by establishing clear definitions, ownership, lineage, and reliability expectations Partner across Data Engineering, Data Infrastructure, Data Science, Research, Modeling Platform, Security, and Product Engineering to define ownership boundaries and supported patterns for batch, micro-batch, reverse ETL, and product-facing delivery We’d love to hear from you if you have: 5+ years of experience building and operating production data platforms, developer infrastructure, or distributed systems Strong software engineering skills (Python or similar), with experience designing reliable and scalable systems Experience improving developer workflows such as local development, testing, CI/CD, orchestration, or deployment Experience with modern data infrastructure, such as cloud data warehouses, transformation frameworks, workflow orchestrators, infrastructure as code, and observability tools A track record of owning shared systems end to end, leading ambiguous cross-functional projects, and communicating effectively with Data Science, Infrastructure, and Product Engineering partners While it’s not required, it’s an added plus if you also have: Experience supporting ML or research data workflows 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. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $153,000 — $376,000 USD 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.