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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 a Software Engineer on the Risk team, your work will directly impact the systems that protect our customers and company. You will: - Build resilient backend services that power fraud detection, identity verification, and transaction monitoring at scale. - Develop, test, and maintain backend services and APIs that enable real-time risk and fraud prevention. - Partner with product managers, and other engineers to design and deploy systems that protect customer accounts and transactions. - Implement integrations with third-party risk and compliance platforms, ensuring seamless and secure data flows. - Contribute to architectural decisions that balance scale, security, and reliability across sensitive financial systems. - Build clear documentation to support collaboration, transparency, and operational excellence. YOU BRING - 3+ years of professional experience in backend engineering, ideally within fintech, payments, or external customer facing systems. - Proficiency in building and maintaining APIs, microservices, and distributed systems. - Familiarity with cloud infrastructure (AWS, Kubernetes, or similar) and database technologies. - Experience working with risk, fraud, or compliance systems is a plus. - Drive and proactivity – everyone here is a builder and executor. TOOLS WE USE We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact 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: Canada, Waterloo, ON 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. Staff Software Engineer, Adaptive Experiences Platform Waterloo, ON About the Role The DTIS organization is building the next generation of adaptive experiences for PlayStation. Our vision is to make every customer touchpoint more relevant, useful, and joyful by combining reusable experience capabilities with personalization, merchandising, experimentation, and intelligent decisioning. We are looking for a Staff Software Engineer to help lead the evolution of our Dynamic Experience Management platform, allowing teams to create and optimize experiences without requiring bespoke implementation for every client, iterating rapidly. You will be a hands-on technical leader working across the experience stack. You will also shape the architecture needed to extend capabilities beyond PS5, across web, mobile, and other PlayStation devices. This is an opportunity to define foundational technology that will change how PlayStation builds, delivers, experiments with, and learns from customer experiences at scale. Responsibilities Define and drive the technical direction for our experiences client SDK, translating the adaptive-experiences vision into an incremental, production-ready architecture. Design and evolve the platform-independent composition layer, public TypeScript APIs, versioned schemas, content adapters, component model, data bindings, and platform renderer contracts. Build reusable experience primitives and native rendering capabilities that support responsive layouts, personalization, experimentation, telemetry, accessibility, localization, and platform-specific interaction models. Establish safe coexistence and migration patterns, including backward compatibility, capability negotiation, validation, feature flags, fallbacks, rollback, and observability. Profile and optimize bundle size, startup and time-to-interactive performance, memory usage, rendering behavior, and runtime reliability on resource-constrained client platforms. Improve developer experience through clear interfaces, reference integrations, test harnesses, preview and debugging tools, automated compatibility testing, and high-quality documentation. Help establish governed, agent-assisted authoring and validation workflows that can translate design and business intent into trusted artifacts, supported by policy checks and evaluation suites. Partner with client, design system, merchandising, content, personalization, experimentation, and platform service teams to align contracts and deliver end-to-end capabilities. Provide technical leadership across team boundaries, mentor engineers, make sound trade-offs in ambiguous problem spaces, and communicate architecture and decisions to technical and non-technical stakeholders. Required Qualifications Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. 8+ years of professional software engineering experience, including significant experience designing and delivering production client platforms, SDKs, frameworks, or shared libraries. Expert-level proficiency with TypeScript or JavaScript and strong experience with React, React Native, or a comparable component-based client framework. Strong software architecture and API design skills, including modularity, dependency management, versioning, backward compatibility, and incremental migration of large production systems. Experience building data-driven or server-driven user interfaces, reusable component systems, or runtime composition frameworks. Demonstrated ability to diagnose and improve client performance and reliability using profiling, telemetry, automated testing, and production observability. Experience designing for more than one client environment, such as console, mobile, web, TV, or embedded platforms, with a practical understanding of platform-specific constraints. Proven track record of solving ambiguous, cross-functional problems with minimal direction and driving alignment without relying on formal authority. Strong written and verbal communication skills, including the ability to document architecture and explain complex technical decisions clearly. Preferred Qualifications Experience with console development, living-room interfaces, focus-based navigation, or performance-constrained native clients. Experience with schema-backed declarative UI, domain-specific languages, JSON Schema, component expansion, data binding, hydration, or client-side rendering engines. Experience building or integrating client SDKs, content management or merchandising systems, personalization platforms, experimentation frameworks, or design systems. Experience migrating a large client application away from a legacy rendering or content-delivery framework using staged rollout, compatibility layers, and measurable exit criteria. Experience developing platform adapters or renderers for iOS, Android, web, or other native client environments. Familiarity with content and layout separation, runtime content sources, telemetry provenance, accessibility, localization, and safe fallback behavior. Experience with developer tooling, visual preview systems, contract testing, schema validation, or automated cross-platform regression testing. Experience applying generative AI or agentic workflows to software or content creation, including evaluation, governance, and deterministic output constraints. A track record of technical leadership and mentoring across multiple teams. Additional Skills Motivated self-starter who combines long-term architectural thinking with pragmatic, incremental delivery. Customer-focused and attentive to developer experience, operational usability, and measurable product outcomes. Comfortable working in a fast-paced, collaborative environment with partners across product, design, engineering, and operations. #LI-KS1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $188,200 — $282,200 CAD 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: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. About the role As a Staff Backend Engineer, you will provide technical leadership across your team and adjacent teams, solving the highest-scope and most complex problems in your area. You will lead large, cross-cutting backend initiatives, drive our modular architecture strategy, and define the standards that let teams move faster without compromising quality, security, reliability, or operability. This is a technical leadership role that combines deep backend expertise, systems judgment, product judgment, and influence across organizational boundaries. You will work with Product, Frontend, Infrastructure, Security, Data, Engineering Managers, and engineers across product groups, bringing subject matter expertise, and you will do it without relying on formal authority. Why you’ll love this role Leverage: Your work multiplies across teams. The platforms, standards, and architectural decisions you lead determine how quickly everyone else can ship. Genuinely Hard Problems: You’ll lead the modernization of a large monolith toward modular, reusable, appropriately independent systems — at the scale of a platform used by millions of users. Influence Without Bureaucracy: You’ll shape technical direction across teams through clear written proposals and decision records, and partner with Product and Engineering leadership on platform roadmap and investment trade-offs. Frontier AI Work: You’ll lead adoption of AI-assisted and agentic engineering workflows and define the review, quality, security, and privacy guardrails that make them safe to rely on. Autonomy: You’ll thrive in our remote-first, asynchronous organization, where clear written communication and self-direction are the pillars of success. What you’ll do Lead Cross-Cutting Initiatives: Lead the technical design and delivery of large backend initiatives that span teams, and identify and remove systemic bottlenecks across product and infrastructure groups. Own Architecture Strategy: Drive modular backend, service, data, and platform architecture. Lead modernization of the monolith and legacy backends toward modular, reusable, and appropriately independently operated systems — while preventing fragmentation and service sprawl. Set the Standards: Define and improve standards for APIs, contracts, compatibility, schema evolution, testing, security, performance, observability, operability, and maintainability — plus the build, test, deploy, release, rollback, and production-readiness practices needed to operate modular features safely. Establish Shared Patterns: Create the patterns for dependency management, data ownership, eventing, failure isolation, service maturity, and operational documentation. Establish Go service patterns and Kubernetes operating practices where they matter to our production estate, and guide Rust adoption where it solves a real systems, security, performance, or supply-chain problem. Own What You Build in Production: Take part in on-call and incident response for the systems your teams own, act as a technical escalation point during complex incidents, and turn what you learn into architectural and operational improvements that prevent recurrence. Influence and Partner: Shape technical direction across teams without formal authority, and partner with Product and Engineering leadership on platform-level roadmap decisions and investment trade-offs. Grow Engineers: Mentor Senior and Intermediate engineers, shepherd technical debt reduction and reusable patterns that improve throughput, and raise the technical capability of the wider team. Lead AI Adoption: Lead team-level adoption of AI-assisted and agentic workflows, including the quality, security, privacy, and operational guardrails, and help engineers direct, validate, reject, and course-correct agent output. What you’ll bring Cross-Team Technical Leadership: A sustained record of technical leadership across more than one team or a broad product area. Deep Architecture Experience: Deep backend architecture and production experience in complex applications, services, or platforms, including scaling or governing APIs, service platforms, data systems, modular monoliths, or shared backend components. Modularization in Production: Experience modernizing a monolith or legacy backend architecture in production, and with modular architecture such as bounded contexts, package encapsulation, ports and adapters, service extraction, event-driven boundaries, or an equivalent approach. Influence Without Authority: A strong ability to create alignment through clear written proposals and decision records, so decisions are documented, understood, and adopted without constant escalation. Product Judgment: The ability to balance customer outcomes, delivery speed, technical health, reliability, and long-term platform investment. Mentorship: Experience mentoring engineers and shaping standards through code review, documentation, and example. Agentic AI Leadership: Production experience with AI-assisted or agentic engineering workflows, including the ability to evaluate and improve how a team adopts them. Helpful experience Go services and APIs at scale. Kubernetes and cloud-native operations, including deployment, scaling, observability, rollback, and production readiness. Rust adoption or production ownership for systems, security, performance, or platform components. Ruby/Rails modularization and large-monolith modernization. PostgreSQL scaling, data partitioning, queues, messaging, or distributed systems. Security-sensitive product or software supply chain engineering. Experience across SaaS, single-tenant, self-managed, or air-gapped deployment constraints. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We're looking for a Software Engineer to join the Next.js team . In this role, you'll work on the core of the framework, collaborating directly with the open-source community, shaping the future of the web, and delivering impactful features to a global audience of developers. Our team is responsible for advancing Next.js and its ecosystem, enabling developers to build faster, more scalable, and more performant applications. If you’re passionate about web standards, open source, and developer experience, you’ll thrive here. You’ll work on challenges such as server rendering, routing, bundling, performance optimizations, and integrating emerging web standards – all while ensuring the framework remains intuitive and stable. What you'll do Design and implement core features in Next.js, from RFC to release Collaborate with internal teams (like Vercel’s platform and runtime teams) to build seamless integrations between framework and infrastructure Engage with the open-source community through issues, PRs, RFCs, and discussions Optimize performance across the full stack – from server to browser to edge Stay up-to-date with emerging web standards (e.g., React Server Components, Partial Prerendering, Web Streams) Contribute to developer tooling, docs, and examples that help others succeed with Next.js What you need Strong experience in JavaScript, TypeScript, and React Deep understanding of web fundamentals: HTML, CSS, HTTP, rendering models, caching Experience building production-grade web applications or frameworks Familiarity with build tools (e.g., Webpack, Turbopack, Babel, SWC, or similar) A collaborative mindset and clear communication – especially when working in public/open-source Why Vercel: Work on one of the most widely used web frameworks in the world Collaborate with the team behind Next.js, Turbopack, and other open-source tools Fast-moving, developer-focused culture with autonomy and ownership Competitive compensation, equity, and benefits (remote-first team, generous PTO, learning stipends) Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $196,000-$294,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location, and the total package includes benefits and equity-based compensation. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: United States - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. THE ROLE, IN A NUTSHELL: As a Senior Partner Manager on our Technology Partnerships team, you will own the Chainguard integrations program: how we evaluate, scope, certify, and maintain integrations, and how we prioritize them against customer demand and company strategy. You will drive that work across partner engineering, Product, and a dedicated Solutions Engineer, and you will be the person partners work with from first conversation through launch. This is a senior individual contributor role reporting to the VP, Alliances. WHAT YOU'LL DO: Own the technology partner integrations program, including the standards for how integrations are evaluated, scoped, certified, and maintained Own the integration roadmap and prioritize it against customer demand, technical feasibility, and company strategy Run the program end to end: partner intake, qualification, scoping, agreements, build coordination, certification, launch, and ongoing lifecycle Drive integrations to completion across partner engineering, Chainguard Product, and Solutions Engineering Own the partner relationship on the integration side, including joint reviews and accountability to committed timelines Work with Legal on partner agreements and the terms that govern partner access to Chainguard data Track the health of the integration portfolio and escalate what is stalled or degraded Bring partner requirements back to Product with the context needed to inform the roadmap Coordinate integration launches with Alliances, Product Marketing, and the field WHAT WE'RE LOOKING FOR: 6+ years in technology partnerships, partner management, integration program management, or partner solutions Technical enough to scope an integration and evaluate a partner's proposed design. This role does not build or test, but you should not depend on others to know where a program stands Working knowledge of containers, Kubernetes, and cloud native infrastructure Familiarity with vulnerability management tooling and how scanners work Program management experience. You have taken ambiguous, multi-stakeholder work and given it a process and an owner Experience with partner agreements and commercial terms alongside Legal Experience in a technology partner ecosystem, and an understanding of how ISVs decide where to invest Ability to communicate technical information to both technical and non-technical audiences Ability to travel up to 15% of the time BONUS EXPERIENCE: Experience at a security vendor building a scanner, CNAPP, or vulnerability management product Experience building a partner certification or technical partner program Familiarity with coordinated vulnerability disclosure About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Location: Philippines Workplace: Remote ABOUT THE ROLE The Compute & Infrastructure Accounting team supports accounting and financial reporting for OpenAI’s rapidly evolving cloud computing, data center, server, equipment, colocation, software and data, and other AI infrastructure arrangements. We’re seeking a hands-on Contract Accountant to support recurring close and day-to-day operational accounting for these costs. The contractor will translate contract terms, pricing, delivery, usage, invoices, and operational data into accurate accruals, true-ups, journal-entry support, reconciliations, and variance explanations. This role works closely with Compute & Infrastructure Accounting, Technical Accounting, Procurement, Strategic Finance, Data Engineering, and external vendors to resolve exceptions and keep accounting outputs timely, complete, and audit-ready. The contractor will use approved AI tools to reduce manual effort, strengthen analysis, improve documentation, and create scalable operating leverage. This role does not make final accounting conclusions or approve journals, payments, vendors, contracts, or access; it does not negotiate contracts or commit company funds. Success is measured by accurate and timely close deliverables, well-supported reconciliations, prompt exception resolution, dependable cross-functional communication, and adherence to established controls. RESPONSIBILITIES Close and Operational Accounting - Prepare and support assigned month-end and quarter-end close activities, including accruals, true-ups, journal entries, reconciliations, rollforwards, balance-sheet substantiation, and flux or variance analysis. - Prepare journal-entry support and submissions, including account and cost-center coding; monitor approval, posting, and rejection status and coordinate timely follow-up with authorized employees. - Perform vendor- and contract-level reconciliations, monitor actuals against accruals, resolve differences, and support recurring management reporting. - Support lease, fixed-asset, construction-in-progress, and related infrastructure accounting as assigned, including data capture, schedule maintenance, modifications, and period-end entries. Contract, Invoice, and Data Validation - Maintain complete and accurate contract and pricing records across new agreements, amendments, credits, delivery or drawdown changes, extensions, and terminations. - Translate commercial terms into accounting inputs and operating workflows and ensure relevant changes are reflected in recurring accounting processes. - Validate vendor invoices and operational data against rates, usage, commitments, delivery, resource attributes, and accounting mappings. - Investigate exceptions, document root causes and resolutions, track open items and bottlenecks, and coordinate follow-up through completion. Controls, Audit, and Issue Resolution - Follow established accounting policies, standard operating procedures, close calendars, review requirements, and approval workflows. - Execute control procedures over source data and workpapers, including completeness and accuracy checks, evidence retention, and reviewer-ready documentation. - Respond to audit and control requests by assembling tie-outs, schedules, explanations, and source evidence. - Use company information only through approved systems and devices, follow least-privilege and security requirements, and promptly escalate suspected data, security, or access issues. Cross-Functional Coordination - Partner with Compute & Infrastructure Accounting, Technical Accounting, Procurement, Strategic Finance, Finance Systems, Data, Engineering, and external vendors to resolve accounting and operational blockers. - Communicate requirements, status, outstanding items, and accounting implications clearly to finance and non-finance stakeholders. - Escalate unusual contracts, accounting judgments, control exceptions, or access requests with clear context and recommended next steps. Process Discipline and Continuous Improvement - Identify recurring data-quality issues, process delays, and control gaps, and surface trends and recommended improvements to the appropriate team lead. - Write clear requirements, test system or process changes, and validate downstream accounting outputs before operational use. - Improve recurring workflows through standardization, documentation, automation, and tooling; maintain clear procedures and handoffs. - Use approved AI-enabled tools responsibly to reduce manual effort, strengthen analysis and documentation, and support scalable and agentic workflows while following data-security and review requirements. - Help maintain consistent execution as systems, accounting requirements, and workflows evolve. REQUIRED SKILLS AND EXPERIENCE - Progressive experience in accounting, audit, advisory, or a related finance function, including hands-on operational accounting. - Strong month-end and quarter-end close experience involving accruals, journal entries, reconciliations, variance analysis, and workpaper preparation. - Working knowledge of U.S. GAAP and internal controls, with the judgment to recognize and escalate matters requiring technical accounting review. - Experience interpreting contracts, invoices, and large operational datasets and translating them into accurate accounting outcomes. - Advanced spreadsheet and data-analysis skills and experience using an ERP or comparable finance system. - Demonstrated ability to use AI tools to reduce manual effort, strengthen analysis, improve documentation, and create scalable operating leverage. - Strong attention to detail, sound judgment, clear documentation habits, and the ability to independently manage high-volume, deadline-driven work. - Excellent written and verbal communication skills and the ability to coordinate effectively across Finance, Procurement, Engineering, external vendors, and time zones. PREFERRED - Operational accounting experience in a technology, cloud-computing, or infrastructure environment. - Experience with Oracle Fusion and lease-accounting, fixed-asset, or similar finance systems. - CPA, CA, or an equivalent professional accounting qualification. NICE-TO-HAVE - Exposure to cloud and compute costs, lease accounting, fixed assets, construction in progress, or related infrastructure arrangements. - Familiarity with SQL, GitHub, issue-tracking tools, or similar technical tools used to investigate data and process issues. - Experience in audit-ready, high-growth, or control-focused operating environments. - Experience collaborating across time zones with distributed teams and external service providers.

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE We’re looking for a Product Engineer to join our team and help us build cutting-edge, AI-powered video creation and collaboration tools. Rather than specialists, we’re seeking curiosity-driven engineers who are thoughtful problem solvers and thrive in fast-paced, high-ownership environments. Our engineering team is highly collaborative and works on a wide variety of exciting challenges, including developing new interfaces for AI content creation, building LLM-powered features and conversational experiences, and deploying cutting-edge computer vision and generative models to production. A PEEK AT OUR TECHNICAL STACK The rich UI of our generative AI tools is powered by TypeScript and React with MediaBunny driving in-browser media and React Flow powering our node-based creative workflows. Our API endpoints for user and media management are written in TypeScript and Node.js and deployed as containerized services on AWS ECS Fargate. We leverage AI APIs to power advanced generative capabilities. WHAT YOU’LL DO - Create rich multimedia interfaces using the cutting-edge of the latest AI video generation models Gen-4.5 and Aleph 2.0 - Build end-to-end full-stack AI-powered product features — designing and developing both frontend experiences and backend systems, including authoring server-side processes and APIs that power our generative AI tools - Design and implement LLM-powered features and conversational interfaces - Partner with a world-class engineering team pushing the boundaries of creativity and content creation on the browser - Take on new challenges across the Frontend stack to implement product features for Runway’s machine learning-based generative AI tools - Improve the performance, reliability, and code quality of our codebases WHAT YOU’LL NEED - 5+ years of industry experience in a software engineering role, ideally full-stack focused - Demonstrated fluency in one or more programming languages, including but not limited to JavaScript/TypeScript - Experience building with third-party AI APIs (e.g., chatbots, LLM integrations) - Experience in architecting production-ready systems and familiarity with debugging and profiling tools - Ability to rapidly prototype solutions and iterate on them with tight product deadlines - Humility and open-mindedness; at Runway, we love to learn from one another Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. Product Managers at Perplexity work closely with design and engineering, focusing on the product systems and experiences that help more people discover, adopt, and get lasting value from Perplexity. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative. Ideal candidates combine product intuition with analytical rigor: in the application, please highlight the growth problems, experiments, or loops you are most proud of building. What you’ll do - Work with select SMB customers to build and test frontier agent capabilities that run their revenue-generating workflows. - Prioritize the highest-value workflows to automate and build the skills, evals, and agent systems that make them reliable and performant. - Turn customer learnings into product requirements for connectors, skills, and agent capabilities, and partner with cross-functional product teams to build. - Drive SMB acquisition through personalized demos, case studies, and paid and lifecycle channels, measured on acquisition targets and CAC. - Drive usage expansion across our existing SMB base through personalized onboarding, lifecycle, and product growth levers. - Work with partnerships and growth marketing teams to design, execute, and package customer case studies to distribute across paid, organic, and partner channels. Qualifications - 2–4 years of total work experience with a strong academic record. - 2 years in investment banking, strategy consulting, or a comparable high-intensity analytical role, followed by some operating experience. - You've run, or worked closely alongside, real marketing workflows: paid social, lifecycle, CRO, or SEO. You know what "great" looks like to an operator. - You already use agents to automate complex processes and are comfortable writing prompts, skills, and building end-to-end agent systems. - Strong written and verbal communication; comfortable running a working relationship with customers. - Comfortable with SQL. You can pull your own cohorts, validate your own segments, and build your own dashboard & reporting systems. - Operates at high velocity. You ship daily and thrive in fast-paced, early-stage environments where processes are still being defined. Nice to have - Direct experience with Shopify, Klaviyo, Meta Ads Manager, TikTok Ads, or similar operator tools. - Experience in a forward-deployed, solutions, or customer-facing product role. OUR MISSION Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Location: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. Product Managers at Perplexity work closely with design and engineering, focusing on the native mobile experiences that bring agentic AI and search into people’s everyday lives. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative. Ideal candidates have deep experience building exceptional mobile products: in the application, please highlight the mobile apps or platform experiences you are most proud of shipping. THE ROLE The Mobile Apps team owns the end-to-end Perplexity experience across iOS and Android. This includes how users discover and onboard into the product, search and take action on the go, use voice, camera, notifications, widgets, and other native capabilities, manage subscriptions and preferences, and return to ongoing work across devices. You will identify the highest-leverage mobile user problems, translate them into clear product direction, and partner closely with design, engineering, data science, and research to deliver experiences that feel fast, intuitive, cohesive, and dependable. This role requires strong product judgment, deep user empathy, analytical rigor, fluency in mobile platform constraints and opportunities, and an exceptional eye for detail. WHAT YOU'LL DO - Anticipate opportunities for innovation and value in how people use AI on mobile. - Envision new mobile experiences and deliver a long-term vision across iOS and Android. - Understand the levers for mobile product-led growth, engagement, and retention. - Work closely with engineering and design to align product expectations with native platform capabilities and constraints. - Work with research to evaluate and steer nondeterministic models into high-value outcomes for mobile users. - Have conviction to make difficult product decisions in the face of uncertainty. - Develop a deep understanding of mobile user needs, behaviors, and friction through direct product use, qualitative research, product data, and experimentation. - Make complex AI behavior understandable and controllable on small screens through clear interaction models, thoughtful defaults, and well-designed feedback. - Drive alignment when improvements span iOS, Android, web, backend systems, or multiple teams. - Communicate product decisions, tradeoffs, progress, and learnings clearly to leadership and cross-functional partners. QUALIFICATIONS - Strong experience with product management and leadership. - Strong experience working with data and metrics. - Experience shipping and scaling high-quality consumer mobile products across iOS or Android. - Deep understanding of native mobile interaction patterns, platform capabilities, performance, and reliability. - Experience with rapid mobile prototyping, experimentation, and data visualization. - Experience building data-driven flywheels for iterative improvement. - Thrives in a small, agile team: has initiative and desire for ownership. - 4+ years of product management experience. OUR MISSION Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Location: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. Product Managers at Perplexity work closely with design and engineering, focusing on the foundational AI capabilities that make our products more powerful, extensible, collaborative, and useful. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion for turning frontier AI capabilities into coherent products: in the application, please highlight the AI systems, platforms, or workflows you are most interested in advancing. THE ROLE The AI Capabilities team owns the product structures that turn intelligence into repeatable, composable experiences. This includes Skills that teach Computer how to work, collaboration that helps people and agents build together, artifact generation that turns ideas into polished outputs, and Projects that organize context, knowledge, and ongoing work. You will take these capabilities to the next level by identifying the highest-leverage user and platform problems, translating them into clear product direction, and partnering closely with design, engineering, data science, and research to deliver experiences that feel powerful, understandable, extensible, and dependable. This role requires strong product judgment, deep user empathy, analytical rigor, fluency in agentic systems, and an exceptional ability to turn technical primitives into products people can use. WHAT YOU'LL DO - Anticipate opportunities for innovation and value in reusable, composable AI capabilities. - Envision and deliver a long-term vision for Skills, collaboration, artifact generation, and Projects. - Understand the levers for capability discovery, adoption, reuse, sharing, and ecosystem growth. - Work closely with engineering and design to align product expectations with model, tool, and platform capabilities. - Work with research to evaluate and steer nondeterministic models, tools, and agents into high-value outcomes for users. - Have conviction to make difficult product decisions in the face of uncertainty. - Develop a deep understanding of how individuals and teams create, customize, collaborate, and build repeatable workflows with AI. - Make complex AI behavior understandable and controllable through clear interaction models, thoughtful defaults, permissions, and well-designed feedback. - Drive alignment when capabilities span Computer, Search, Projects, artifacts, connectors, or multiple teams. - Communicate product decisions, tradeoffs, progress, and learnings clearly to leadership and cross-functional partners. QUALIFICATIONS - Strong experience with product management and leadership. - Strong experience working with data and metrics. - Experience building AI-native productivity, collaboration, platform, or developer-facing products. - Experience with agentic systems, tool use, evaluations, extensibility, or workflow orchestration. - Experience with rapid prototyping and designing systems that produce high-quality artifacts. - Experience building data-driven flywheels for iterative improvement. - Thrives in a small, agile team: has initiative and desire for ownership. - 4+ years of product management experience. OUR MISSION Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Location: New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. Product Managers at Perplexity work closely with design and engineering, focusing on the product systems and experiences that help more people discover, adopt, and get lasting value from Perplexity. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative. Ideal candidates combine product intuition with analytical rigor: in the application, please highlight the growth problems, experiments, or loops you are most proud of building. What you’ll do - Drive activation, repeat usage, and paid conversion across web, mobile, and desktop. - Build and iterate the levers that move them: upsells, onboarding, upgrade flows, lifecycle, and design new agent-driven growth loops. - Grow adoption of new products and cross-platform conversion: identify the optimal set of users, surfaces, and moments to introduce them, and drive repeat usage. - Ship a high volume of experiments, from hypothesis and metric design through analysis, and turn the learnings into roadmap bets that grow our metrics. - Analyze funnels, cohorts, and segments to find the highest-leverage opportunities and define the metrics behind them. - Protect product quality while improving conversion, holding guardrails on retention, support volume, and margin. - Write crisp specs and experiment briefs and drive execution across engineering, design, data, and marketing. Qualifications - 2–4 years of total work experience with a strong academic record. - ~2 years in investment banking or consulting, followed by startup experience in a growth, product or founder role. - Fluent in SQL, comfortable with experiment design and statistical readouts. - Comfortable owning many parallel experiments and moving between analysis, spec-writing, and shipping in the same week. - Thrives in ambiguity where processes are still being defined. Nice to have - Direct experience with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents). - Experience with subscription and usage-based billing products, paywalls, or paid upgrade experimentation. - Experience shipping across web and native mobile surfaces. OUR MISSION Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Location: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. Product Managers at Perplexity work closely with design and engineering, focusing on the core agentic and search experiences. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion in a particular industry that they are domain experts in: in the application please highlight which industry you are most interested in innovating. THE ROLE The Core Experience team owns the foundational interactions that define how people use Perplexity every day. This includes how users begin and continue work, understand what the product is doing, navigate and find what they need, manage their context and preferences, collaborate with others, and return to ongoing work across platforms. You will identify the highest-leverage user problems, translate them into clear product direction, and partner closely with design, engineering, data science, and research to deliver experiences that feel fast, intuitive, cohesive, and dependable. This role requires strong product judgment, deep user empathy, analytical rigor, and an exceptional eye for detail. WHAT YOU'LL DO - Anticipate opportunities for innovation and value in enterprise industries. - Envision new experiences and deliver a long-term vision. - Understanding of levers for product-led growth and retention. - Work closely with engineering and design to align product expectations and capabilities. - Work with research to evaluate and steer nondeterministic models into the high value outcomes for users. - Have conviction to make difficult product decisions in the face of uncertainty. - Develop a deep understanding of user needs, behaviors, and friction through direct product use, qualitative research, product data, and experimentation. - Make complex AI behavior understandable and controllable through clear interaction models, thoughtful defaults, and well-designed feedback. - Drive alignment when improvements span multiple product surfaces, platforms, or teams. - Communicate product decisions, tradeoffs, progress, and learnings clearly to leadership and cross-functional partners. QUALIFICATIONS - Strong experience with product management and leadership. - Strong experience working with data and metrics. - Experience with productivity and knowledge work products. - Experience with prototyping and data visualization. - Experience with building data driven flywheels for iterative improvement. - Thrives in a small, agile team: has initiative and desire for ownership. - 4+ years of product management experience. OUR MISSION Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Location: San Francisco; New York City Perplexity is looking for a technical program manager to be the connective tissue between our model providers, engineering, and product teams, driving our core inference platform forward. Perplexity runs one of the highest-throughput inference stacks in the industry, serving Ask, Computer, and API traffic across a large and constantly shifting portfolio of first-party and third-party models. This role sits at the intersection of product, engineering, and finance: you'll orchestrate across model providers and internal teams to keep new models and capacity moving smoothly into production, while executing the roadmap for the inference platform itself. The ideal candidate has strong technical judgment, thrives coordinating across teams and external partners with competing timelines, and is energized by building the operating model for a function that doesn't have much precedent yet. OUR MISSION Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. WHAT YOU'LL DO - Execute the roadmap for the inference platform request handling, rate limits and quotas, usage controls, and the reliability and observability surface engineering and product teams depend on - Be the connective tissue between model providers and Perplexity's engineering and product teams coordinating onboarding, launch readiness, and rollout for new models and capacity - Drive latency, throughput, uptime, and cost-efficiency as core execution metrics, surfacing tradeoffs between them rather than letting them become side effects - Run the operating model for model-release and optimization programs, including day-zero launches, across performance engineering, infrastructure, and product teams - Lead cross-functional delivery for inference-stack changes, from planning through launch and post-launch validation - Build the mechanisms that make releases predictable rituals, dashboards, launch checklists so inference releases stay low-risk at Perplexity's scale - Partner with GPU capacity and compute teams to reconcile execution decisions against cost, capacity, and vendor constraints QUALIFICATIONS - Strong experience with technical program management or product management in infrastructure, distributed systems, or ML/model-serving products - Direct experience with production LLM or ML inference understanding what makes serving fast, reliable, and cheap rather than just what a roadmap slide says about it - Comfort orchestrating across external partners and internal engineering teams with competing priorities and timelines - Experience with data and metrics, and the judgment to surface difficult tradeoffs between latency, throughput, uptime, and cost - Thrives in a small, agile team; has initiative and desire for ownership without much precedent to lean on - 6+ years of combined technical program management or product management experience

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 Applied Scientist at OnePay, you’ll be at the forefront of our AI and Machine Learning innovation! You will: - Design and deploy machine learning, deep learning, and LLM models that will shape our customer experience, drive business growth, and improve operational efficiency while collaborating closely with product, engineering, and analytics teams. - Develop personalization and recommendation systems that deliver dynamic, user-centric experiences across our product offerings. - Design and optimize search and retrieval systems to improve discoverability, relevance, and user satisfaction. YOU BRING - 7+ years of experience building and productionizing ML/AI models that deliver measurable business impact. - Experience building and productionizing LLM-powered applications, agentic systems, and traditional ML (ranking, recommendations, personalization). - A strong technical background with a degree in Computer Science, Data Science, Applied Mathematics, or a related field. - Fluency in collaborating with Product, Engineering, and Analytics teams to bring AI solutions from ideation to deployment. - Drive and proactivity – everyone here is a builder and executor. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS - Initial Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! 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: London, UK 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 Anthropic is seeking Software Engineers to join our Observability team within the Infrastructure organization. The Observability team owns the monitoring and telemetry infrastructure that every engineer and researcher at Anthropic depends on—from metrics and logging pipelines to distributed tracing, profiling, error analytics, alerting, and the dashboards and query interfaces that make it all actionable. By joining this team, you'll have a direct impact on the reliability and operational excellence of Anthropic's research and product systems. As Anthropic scales its infrastructure across massive GPU, TPU, and Trainium clusters, the volume and complexity of operational data is growing by orders of magnitude—and an increasing share of the hardest problems live below the application layer. We're building next-generation observability systems—high-throughput telemetry pipelines, fleet-wide continuous profiling, eBPF-based tracing and network visibility, and agentic diagnostic tools—so engineers can detect, diagnose, and resolve issues in minutes rather than hours, even when the answer lies in the kernel, the network stack, or an accelerator rather than on a dashboard. Key responsibilities Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic's multi-cluster infrastructure Build observability solutions that give engineers deep, low-overhead visibility into system behavior across the fleet Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth Build instrumentation libraries, SDKs, and eBPF-based auto-instrumentation to emit high-quality telemetry, with and without code changes Reduce mean time to detection and resolution by building cross-signal correlation—from kernel-level events up to application traces—unified query interfaces, and AI-assisted diagnostic tooling Drive fleet-wide efficiency by turning continuous profiling and utilization telemetry into actionable optimization insights across CPU, memory, and accelerator fleets Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organization Minimum qualifications Have hands-on experience building and operating large-scale observability or monitoring infrastructure Have deep, hands-on experience with observability signals end to end—from instrumentation through ingest to query and analysis Understand high-throughput telemetry pipelines and the tradeoffs involved in collecting, storing, and querying operational data at scale Are comfortable digging below the application layer into the kernel, the network stack, or the hardware Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities Are excited about building foundational infrastructure and comfortable navigating ambiguous, high-impact technical challenges, both independently and with a team Preferred qualifications 10+ years of relevant industry experience, including building and operating large-scale observability or monitoring infrastructure Experience building or operating eBPF-based observability in production—tracing, profiling, or network visibility Experience running continuous profiling at fleet scale, including managing overhead budgets and symbolization Kernel- and syscall-level debugging experience and performance engineering craft Experience profiling or instrumenting accelerator workloads Experience operating metrics systems at very high cardinality, or large-scale telemetry storage backends Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting 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: £325,000 — £390,000 GBP 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: Mississauga Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. PointClickCare is searching for a Principal AI Engineer who will lead and design AI systems across multiple SaaS solutions following our AI Design Patterns, defining technical standards and reusable patterns for reasoning, tool use, and coordinated action. This role will be part of a team which drives enterprise-wide AI enablement by defining strategy, evangelizing adoption, and delivering measurable business impact. It identifies and prioritizes high-value AI use cases, builds scalable AI solutions, and creates playbooks and patterns to accelerate implementation. Through innovation hubs and close collaboration with product, engineering, and operations, the team transforms prototypes into production-ready solutions. Additionally, it invests in talent development, equipping teams with the skills and tools to embed AI across the organization and leads governance of AI solutions across the organization.      To succeed as a Principal AI Engineer at PointClickCare, you need to be highly innovative, creative, accountable, collaborative, and passionate. The Principal AI Engineer partners with cross-functional teams to transition prototypes into secure, observable production solutions and establish playbooks, evaluation frameworks, and platform components to accelerate adoption. Additionally, the Principal AI Engineer mentors' teams and ensures alignment with Responsible AI, security, and regulatory requirements.    Responsibilities    - Set the technical vision and reference architecture for agentic AI across applications defining org-wide standards for reasoning loops, tool use/function calling, memory, safety, and interoperability.   - Build and govern reusable platform components—model broker & multi-model routing, orchestration services, evaluation harnesses, prompt/versioning stores, and telemetry—to accelerate adoption across teams.   - Develop and refine advanced prompting strategies for LLMs.    - Drive cross-functional roadmaps and integration standards across  business teams—setting API/versioning contracts, optimizing LLM/agent cost performance, and mentoring engineers to raise the bar.   - Establish and evolve evaluation frameworks for LLMs and agentic systems, including offline and online testing methodologies, safety assessments, quality metrics, and business outcome dashboards. - Be the go-to Subject Matter Expert (SME) and internal AI expert for relevant enterprise applications, senior leadership, vendors, business partners and internal team members while staying ahead of emerging trends and advising on best practices  - Identify, prioritize and execute AI use cases with clear business outcomes  - Be a coach/mentor for other engineers on AI maturity, including performing peer reviews, leading technical knowledge sharing sessions, establishing engineering best practices, approving pull requests and improving the overall quality of the technical solution      Qualifications we are looking for:  Proven leadership shipping agentic AI at scale across multiple products, setting organization wide standards for reasoning loops, tool use/function calling, memory, safety, and interoperability.  Must Have - Expertise & Hands-on experience in Agentic AI Tech stack primarily in Microsoft (Azure AI Foundry, Azure OpenAI, and Azure AI Document Intelligence) and Anthropic (Claude Cowork and Claude Code).  Must Have - Advanced Python & Java expertise in production systems (testing, packaging, performance profiling) and deep experience extending agent frameworks such as Anthropic, LangChain, and Foundry.  RAG/agent data pipeline expertise: document preprocessing (OCR/NER), chunking strategies, embeddings, vector stores, and data quality/versioning—with evaluation of harnesses for quality, cost, and latency  Extensive knowledge and understanding of enabling and maturing AI in a SaaS landscape.  Model serving and cost/perf optimization: experience with model broker patterns, multi-model routing, and serving stacks  Must Have - knowledge of relational databases (e.g. Microsoft SQL Server, PostgreSQL) Experience using system and performance monitoring tools (e.g. AppDynamics, Kibana, OpenTelemetry) BSc/BA in Computer Science or a related degree   Bonus points for: ·       Experience with Docker, Kubernetes and Istio ·       Experience with AWS/Azure cloud services or equivalent ·       Experience with Service Oriented Architecture  ·       On-call experience with production grade systems   #LI-AV1 #LI-Hybrid PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $191,700-213,000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.

Location: Limassol, Cyprus Workplace: hybrid Mayflower is a technology company building highload products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience. Now we look for a Data Scientist to join our ML team Job Responsibilities Machine Learning & Modeling • Develop and train machine learning models for prediction, classification. • Build and evaluate regression, classification, clustering, and time-series models. • Design feature engineering pipelines and data preprocessing workflows. • Evaluate model performance, robustness, and production readiness. • Deploy and maintain ML models in collaboration with ml-ops teams. Data Analysis & Exploration • Explore large datasets to identify patterns, trends, and hidden relationships. • Perform statistical analysis and hypothesis testing. • Distillate open-source datasets by proprietary data via LLM agents • Detect anomalies, outliers, and unexpected metric movements. • Translate business or product questions into analytical tasks. Data Pipelines & Infrastructure • Work with data pipelines and streaming data systems. • Process and transform large datasets using Python and SQL. • Work with event streams and messaging systems (Kafka). • Contribute to data quality monitoring and dataset validation. • Work with analytical databases and data warehouses. Model Monitoring & Experimentation • Design experiments and evaluate model performance in real environments. • Implement monitoring for model performance and data drift. • Support A/B testing and experimentation frameworks. • Improve models based on production feedback and metrics. Cross‑Functional Collaboration • Work closely with ML engineers, data engineers, and product teams. • Communicate model results and analytical insights clearly. • Contribute to the development of ML best practices within the team. You’ll thrive here if you have • Strong Python programming skills for data science and machine learning. • Experience working in Jupyter / Python notebooks for experimentation and analysis. • Strong experience with pandas and numerical data processing . • Experience with SQL databases and complex analytical queries. • Experience working with ClickHouse or other analytical columnar databases. • Experience working with Kafka or other streaming data platforms . • Experience building and evaluating machine learning models using libraries such as scikit‑learn, XGBoost, LightGBM, or similar . • Understanding of statistics, probability, and experimental design . • Experience working with large datasets and data preprocessing pipelines. Nice to Have • Experience with deep learning frameworks (PyTorch or TensorFlow). • Experience deploying ML models to production environments. • Experience working with Computer Vision models (OpenCV, CNNs, object detection frameworks). • Experience with distributed data processing or large-scale ML systems. • Familiarity with ML monitoring, experiment tracking, and model versioning tools. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases. Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals, and cycling purchase compensation. Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey. A culture of recognition: a peer reward program to celebrate your contributions. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons—because great work happens in great communities. Recruitment process HR interview (40 min); Technical interview (1.5 hour); Final interview (60 min).

Location: United Kingdom; United States; New York; Poland; London; San Francisco; Canada Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. THE ROLE ElevenLabs is scaling globally at extraordinary speed, growing from 400 to 1,000+ by the end of 2026. We operate across 46+ countries, with a highly distributed workforce spanning researchers, engineers, GTM teams, operators, creatives, and frontier AI specialists. Compensation and total rewards are core to how we attract and retain the best builders in the world. This environment is inherently complex. Different regulatory frameworks. Different talent markets. Different role archetypes. High volatility in frontier AI compensation benchmarks. That complexity is not a constraint, it’s the challenge. We are looking for someone to own and evolve our global compensation and total rewards strategy, designing systems that are competitive in frontier AI markets, internally consistent, globally scalable, and built for long-term sustainability. You will operate as the single point of accountability for compensation architecture across the company, partnering closely with Operations, Legal and Finance. If you’re energized by solving hard global compensation problems, building clarity across diverse markets, and designing systems that scale globally without slowing the company down, this role is for you. KEY RESPONSIBILITIES COMPENSATION STRATEGY & PHILOSOPHY - Own and continuously refine ElevenLabs’ global compensation philosophy. - Ensure pay, equity, and incentives reinforce attraction, retention, and performance. - Balance market competitiveness with internal equity and financial discipline. - Serve as a trusted advisor on complex, high-impact compensation decisions. JOB ARCHITECTURE & LEVELING - Design systems that introduce rigor without slowing the company down. - Evolve our structure intentionally to match our scale: mature enough to support 46+ countries and a diverse set of roles, but not over-engineered or bureaucratic. - Drive clarity and consistency in job architecture, leveling frameworks, and compensation bands globally. EQUITY & LONG-TERM INCENTIVES - Design equity programs that reflect a core ElevenLabs belief: employees should be genuine owners in the company and invested in our long-term ambition. - Own our equity philosophy, structure, and grant strategy. - Partner with Finance and Legal on equity design, refresh cycles, and promotion grants. COMPENSATION CYCLES & GOVERNANCE - Assist annual compensation reviews end-to-end. - Design clear off-cycle governance and decision frameworks. - Build calibration rigor and tooling that scales globally. - Introduce AI-enabled workflows where appropriate to improve speed and consistency. - Act as the final escalation point for leveling and pay consistency decisions. BENEFITS & TOTAL REWARDS - Own global benefits strategy across a distributed workforce. - Balance standardisation with regional relevance. - Ensure benefits are competitive in frontier talent markets while remaining operationally scalable. WHAT WE’RE LOOKING FOR EXPERIENCE - 5+ years in Compensation or Total Rewards, ideally in high-growth technology companies that operate across multiple countries - Ownership of equity programs - Strong track record of building compensation systems that scale - Experience designing and evolving job architectures and leveling systems - Experience operating in fast-scaling, ambiguous environments SKILLS & ATTRIBUTES - First-principles thinker: approach problems without bias - Hands-on builder: comfortable designing systems from scratch - Strong analytical skills: the ability to translate data into clear, strategic recommendations - Comfortable partnering with senior leaders and influencing decisions in complex, fast-moving environments - Excellent communication skills - High standards and high ownership We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.