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Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Staff Hardware Test Engineer (Manufacturing) to lead manufacturing test strategy and deliver scalable test solutions that ensure every WHOOP device meets the highest standards of quality and reliability. You will take ownership of complex manufacturing test challenges from high-level objectives through strategy, execution, and production outcomes. Working across Manufacturing Engineering, Electrical Engineering, Firmware, Mechanical Engineering, Quality, and Reliability, you will drive alignment on test strategy, influence product and manufacturing decisions, and deliver measurable improvements in test coverage, quality, yield, cycle time, and cost. You will also establish best practices, raise engineering standards, and mentor engineers across the team.   RESPONSIBILITIES: - Lead the architecture, development, validation, and deployment of automated test equipment (ATE), electrical test fixtures, and control systems for engineering validation, NPI, and mass production. - Develop and establish scalable automated test methodologies and applications using Python to validate electrical, functional, RF, and sensor performance on manufacturing lines. - Drive cross-functional alignment across Hardware, Firmware, Manufacturing, and Quality engineering teams to make tradeoffs around test coverage, product quality, cycle time, yield, cost, and schedule. - Lead complex and ambiguous manufacturing test investigations, structuring problems, identifying technical and operational risks, and driving cross-functional teams to root cause and resolution. - Own manufacturing test readiness and outcomes through factory bring-up and production ramp with manufacturing partners, including fixture qualification, calibration, correlation, troubleshooting, and continuous improvement. - Analyze manufacturing and test data to identify systemic opportunities and deliver measurable improvements in yield, process capability, test coverage, quality, cycle time, and cost. - Establish manufacturing test best practices, methodologies, and standards that improve execution quality and scalability across programs. - Identify technical and execution risks proactively and drive mitigation strategies with engineering teams and manufacturing partners. - Contribute to product and manufacturing roadmaps by identifying test technology, infrastructure, and capability investments required for future products. - Mentor engineers and provide technical guidance on test architecture, debugging, automation, and manufacturing test methodologies. QUALIFICATIONS: - Bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical discipline. - 10+ years of experience developing hardware test systems, automated test equipment, or manufacturing test solutions for high-volume consumer electronics or similarly complex products. - Demonstrated experience independently owning manufacturing test strategy and execution from product development through NPI, ramp, and mass production. - Proven ability to lead complex, ambiguous technical initiatives and drive outcomes across multidisciplinary engineering and operations teams. - Deep understanding of electronics, instrumentation, measurement systems, and communication protocols such as UART, I²C, SPI, USB, Bluetooth, and NFC. - Experience designing electronic circuits and PCBAs using tools such as Altium Designer. - Strong proficiency in Python for developing automated manufacturing test applications; experience with C/C++ or other systems languages is a plus. - Extensive experience designing, validating, and debugging manufacturing test fixtures, instrumentation, and production hardware. - Strong understanding of manufacturing test methodologies and data analysis, including test coverage, calibration, correlation, GR&R, process capability, yield analysis, and failure analysis. - Extensive experience working with CMs and JDMs, including factory bring-up, NPI, production ramp, and sustaining support. - Demonstrated ability to influence technical decisions, align stakeholders, and communicate effectively across engineering, operations, and leadership. - Track record of delivering measurable improvements in manufacturing quality, yield, efficiency, test coverage, or cost. - Experience mentoring engineers and improving engineering practices within a team. - Ability to travel up to 15%, both domestically and internationally. - Strong commitment to leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $180,000.00 - $215,000.00 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY 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's Legal Tech engineers play a specialized and critical role in keeping Claude at the frontier. Partnering closely with counsel, we provide custom infrastructure and guidance for complex, novel technical matters, empowering teams across the company to continue meeting our legal obligations as we innovate. As a Senior+ Software Engineer on our Legal Tech team, you'll build dedicated, highly secure, and reliable cloud environments and data processing and storage capabilities at speed and scale. You will own your scope end to end: from raw requirements all the way through to large-scale production systems that satisfy legal invariants and unlock new possibilities. The systems you build won't just be dependable and scalable; they'll be interpretable and auditable, demonstrating to skeptical audiences exactly how they worked and why results can be trusted. You'll be an essential member of a collaborative team, working together to solve difficult problems against fixed deadlines. You will own internal customer relationships as well: you'll gather, prioritize, and coordinate needs from colleagues on Privacy, Security, Research, and/or Infra as well as Legal, to ship the right capabilities on the right timelines. You'll act as a trusted advisor: clearly explaining technical concepts and constraints to inform legal decisions, and proactively designing new approaches to prevent classes of problems. Your infrastructure expertise will directly empower our business to calibrate and manage risk, innovating faster thanks to systems that build in legal considerations. Key responsibilities Build and operate dedicated cloud infrastructure, storage, and data pipelines for specialized workloads that can't run on general-purpose systems Design architectures with excellent security, privacy, reliability, scalability, and auditability baked in Partner with a wide range of internal customer teams to translate requirements into sound approaches and realistic ETAs Deliver against fixed deadlines Support complex and novel legal requests on controlled infrastructure, with verifiable chain of custody Pair with engineering teams across the company to extend existing infrastructure to support new workflows and/or legal requests Work with nontechnical stakeholders to clarify their needs through responsive, easy-to-follow dialogue Minimum qualifications Experience designing, building, and operating highly trusted infrastructure and data systems in production, including owning architectural decisions Experience working across large, complex, multi-team environments, including in stacks and code you don't own Ability to take ownership of a cloud account and secure it end to end (networking, storage, identity, encryption, least-privilege provisioning, etc.) on AWS and/or GCP Ability to translate legal and privacy requirements into sound technical designs and implementations that teams are excited to adopt A habit of verifying rather than assuming: designing checks for invariants and plainly naming what isn't proved Self-directed in a high-change environment, and comfortable resequencing quickly when new needs emerge Clear communication with nontechnical stakeholders, and an understanding of their needs Preferred qualifications Software engineering experience with an infrastructure, data, privacy, and/or security focus Proficiency with large-scale data tooling, such as distributed processing, lakehouse table formats, and/or query engines Understanding of data processing pipelines, LLM training, and/or provenance and lineage Experience with secure enclaves, confidential computing, clean rooms, or other purpose-built environments for sensitive data Background in eDiscovery, litigation support, or records retention at scale, including chain of custody and verifiable integrity 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: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Bengaluru, India We are looking for a lead-level Accessibility QA Engineer who still tests hands-on. You will guide engineering on accessible implementation, run knowledge sessions for engineering and product, and write an accessibility plan for a platform. The plan states the testing the platform needs and the support and budget it does not yet have. Quality engineering uses that plan to request both. You will audit against WCAG 2.2, targeting AA, with awareness of AAA where relevant, and you need working knowledge of WCAG 2.1 and 2.2 at A and AA. Audits use screen readers, keyboard-only navigation, and automated scanners. You will own the accessibility testing process, from test plans, severity, regression, and sign-off through CI gates, remediation guidance, and stakeholder reporting. An accessibility certification is not required. You will manage and mentor the accessibility QA team, and report conformance and regulatory risk in writing that both engineers and legal or compliance staff can use. This position is intended for Hyderabad-based candidates who are available to work from the office. Our client delivers web and mobile products that must meet US and European accessibility requirements. Accessibility is managed continuously through early acceptance criteria, automated checks, hands-on testing with assistive technology, remediation, and conformance reporting. Conduct accessibility audits and risk assessments against WCAG 2.2 Level A and AA, with awareness of relevant Level AAA criteria. Test semantic HTML, WAI-ARIA, keyboard interaction, screen-reader behavior, native mobile applications, the DOM, and the accessibility tree. Create and review test plans, test cases, and automated accessibility tests using axe-core with Playwright, Cypress, Selenium, or comparable frameworks. Write platform accessibility plans and maintain the testing process, including priorities, definition of done, regression, release-readiness, approved exceptions, risk acceptance, and remediation tracking. Shift accessibility left with product, design, and engineering through accessible components, early acceptance criteria, pull-request checks, automated scanners, and CI/CD gates. Track conformance, maintain Accessibility Conformance Reports using the appropriate VPAT template, evaluate vendor accessibility claims, and communicate regulatory risk. Establish accessibility quality metrics, dashboards, and stakeholder reporting. Apply AI-assisted testing and reporting tools with human verification of generated results. Lead, mentor, and develop the accessibility QA team through planning, coaching, review, and calibration. Train product, design, engineering, and QA teams, and provide actionable remediation guidance through validation. Produce technical findings, defect reports, and stakeholder communications for engineering, business, and Legal and Compliance audiences. Lead-level accessibility experience, including hands-on testing and building or operating an accessibility testing process. Deep knowledge of WCAG 2.2 testing and conformance, plus US and European requirements including the ADA, Section 508, EN 301 549, and the EAA. Practical fluency in WAI-ARIA 1.2, ARIA Authoring Practices, semantic HTML, CSS, accessible names, and expected keyboard interactions. Proficiency with NVDA, JAWS, VoiceOver, TalkBack, keyboard-only testing, native mobile accessibility, and DOM and accessibility-tree inspection. Experience conducting accessibility audits and risk assessments for web and mobile products. Experience creating test assets and automated accessibility tests using axe-core with Playwright, Cypress, Selenium, or comparable frameworks. Experience selecting automated scanners and integrating accessibility into design reviews, pull requests, and CI/CD. Experience writing accessibility plans and defining testing scope, priorities, quality gates, exceptions, and remediation tracking. Experience authoring and reviewing Accessibility Conformance Reports, selecting the appropriate VPAT template, and evaluating vendor accessibility claims. Experience defining accessibility metrics and using AI-assisted tools with appropriate human verification. Experience leading and training QA or accessibility teams and working with product, design, and engineering. Ability to explain user impact and provide actionable remediation guidance through implementation and validation. Strong written communication for engineering, business, and Legal and Compliance audiences. IAAP certification such as CPACC, WAS, or CPWA, or Section 508 Trusted Tester certification. PDF and document accessibility experience, including tagged PDF structure and the PAC tool. Knowledge of cognitive and low-vision accessibility. Experience contributing to or auditing an accessible design system. Experience with accessibility maturity models.

Location: New York, NY (HQ); San Francisco, CA; Remote (US) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT PRODUCTION ENGINEERING Production Engineering is Ramp's infrastructure ownership layer. We exist to make Ramp faster, more reliable, and more scalable — and we do that by being embedded in the problems, not adjacent to them. A few things that define how we operate: - One team, one company, one objective. There is no "infra team" and "product team" — there is Ramp. We share the company's goals as our own. When a product team struggles with reliability or scalability, that is our struggle. - If reliability or scalability is at risk, we own it. We don't wait to be invited, and we don't ask whose code it is. If a system is slow, if it breaks, if it won't scale — that's ours to lead, regardless of where it lives in the stack. - We go first, and we go fast. When the path isn't obvious, we don't wait for someone else to find it. We move with urgency, propose the solution, align the stakeholders, and stay in until it's done — not until our ticket is closed. - We lead the way. We find the next problem before it finds us. And when we solve it, we don't just fix it for ourselves — the patterns and standards we establish become the foundation the rest of Ramp builds on. That's not a side effect of the job; it's the job. - We stay calibrated. Speed means nothing if we're moving in the wrong direction. We regularly stop and ask honestly whether what we're working on is still the highest-leverage thing we could be doing — the discipline that makes sure our effort compounds toward what actually matters. You cannot build the future of finance on shaky infrastructure. OUR TEAMS Production Engineering is organized into teams — but we think about teams differently. Teams are mutable. We build them around what needs to be done, not around what we need to do given the teams we already have. The structure below reflects our current priorities; it will evolve as Ramp does. Right now, we operate across four areas: - Compute — the foundation everything runs on: container orchestration, networking, load balancing, edge infrastructure, and the deployment systems that get code from engineers' laptops to production reliably and at scale - Storage — databases, caching, object storage, and the data infrastructure that underpins everything - Workflows & Messaging — the systems that power Ramp's financial workflows and event-driven architecture - Developer Infrastructure — the platform that makes every builder at Ramp faster and more autonomous: observability, cost attribution, and CI/CD systems that give teams visibility into what they build and what it costs WHAT YOU'LL DO Production Engineers at Ramp are full software engineers who happen to specialize in infrastructure. You write production code, you own systems end-to-end, and you drive technical outcomes across the organization — not just within your team. As a Tech Lead & Manager, you are a hands-on player-coach: you will lead and grow a team while remaining directly engaged in the technical work. Management at Ramp does not mean stepping away from the technology or the code. You will help set direction, develop engineers, and work alongside the team to deliver consequential infrastructure outcomes. Day to day, you will: - Build, coach, and grow a high-performing team. Create clarity, give direct feedback, mentor engineers, and help each person expand their technical judgment, ownership, and leadership. - Set technical direction for your team’s domain. Identify the highest-leverage problems, define a path forward, bring the right people along, and stay engaged with the team until the work is delivered. - Build and operate critical infrastructure across Ramp's compute, storage, messaging, and observability stack — owning the systems that handle real financial transactions at scale. - Drive architectural change — not just flag problems. When you surface a reliability or scalability issue, you own the path forward: you propose the solution, find the owners across engineering, and stay in until it's resolved. - Partner with product teams at the design phase — reviewing architectures, embedding golden paths, and making it easy to build correctly the first time. - Build Ramp's next level of scale — you'll be a hands-on contributor to the most consequential infrastructure shift happening right now: our move to a cellular architecture, enabling Ramp to scale, reach international markets, operate in highly regulated and constrained environments (e.g. FedRAMP), and deliver on enterprise-grade SLAs. - Enable AI-native engineering — as Ramp builds increasingly AI-powered products, PE is the team that makes sure the platform can support them. You'll proactively partner with product teams on AI infrastructure patterns, define the golden paths that turn one-off solutions into reusable foundations, and stay ahead of emerging challenges before they become blockers. - Build developer tooling and self-service infrastructure — so that other teams can answer their own questions (cost, performance, reliability) without involving PE. - Participate in on-call rotation — and more importantly, use every incident as a signal to eliminate the root cause, not just resolve the symptom. - Lead across the company — PE doesn't just review designs or show up when called. We proactively initiate cross-team architectural reviews, and we take full ownership of company-wide reliability and scalability initiatives: identifying the problem, proposing the solution, aligning the stakeholders, and staying in until it's done. WHAT WE LOOK FOR We don't hire for a checklist. We hire for the instincts that make someone exceptional on this team. The mindset we're looking for: - You love building teams, mentoring engineers, and helping people grow—and you are equally energized by writing code, reviewing designs, and digging into complex distributed systems. - You are a true player-coach. You know when to coach, delegate, and create space for others to lead; you also know when your direct technical involvement will create the most leverage. - You can set a technical direction, bring people along, and then lock in with the team to make it happen. - You do not believe managing engineers means stepping away from the technology or the code. - You can't walk past something broken without wanting to fix it — and you don't stop at the workaround. You find the root cause and eliminate the class of problem. - You think in systems, not tasks. You understand that "fixing the bug" is step one; making it so the bug can't happen again is the job. - You move with urgency but without chaos. You know when to go fast and when to slow down and do it right. - You treat product teams as your users. You build for them, communicate with them proactively, and measure success by how much faster they can ship. But you're also an owner — when something is broken or blocking, you don't wait to be asked. We win when our customers win. - You leave things better than you found them. Every system you touch, every process you encounter — you move it forward. Not always dramatically, but always directionally. You picked it up in a certain state; you leave it in a better one. - You are equally comfortable reading a database query plan, reviewing a system design doc, writing a Terraform module, and jumping into an incident at 2am. Experience profile: - 8+ years of software engineering experience, including a track record of shipping high-quality architectures for critical systems. - Staff+-level technical leadership: experience setting technical direction and leading complex, multi-quarter technical initiatives from ambiguous problems through durable production outcomes. - Experience managing, mentoring, and developing engineers. You create clarity, give direct feedback, and help people grow in technical judgment, scope, and leadership. - A sustained hands-on engineering track record. You are comfortable writing and reviewing production code, evaluating system designs, debugging incidents, and making difficult technical tradeoffs. - Hands-on experience building and operating distributed systems at production scale. - Strong software engineering fundamentals — you write clean, well-tested, production-ready code and set that standard for the team. - Experience with at least one major cloud provider (AWS preferred). - Familiarity with observability and reliability practices, including SLOs, error budgets, alerting, dashboards, and incident response. - Track record of delivering through cross-functional coordination: aligning stakeholders, unblocking teams, and staying accountable for the outcome. - Comfortable using AI tooling and coding agents as part of your everyday engineering workflow — and helping a team use them to move faster and think bigger. Bonus (not required): - Experience with cellular or multi-tenant architecture patterns - Prior work on workflow orchestration systems (Temporal) - Contributions to developer experience or internal platform tooling - Experience in fintech, payments, or regulated industries (FedRAMP, SOC 2) BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Remote Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: Alpaca is growing its Treasury function as we scale our product suite, global footprint, and self-clearing operations. We are looking for a Financial Risk Manager to support the development and day-to-day execution of Alpaca's liquidity risk monitoring and stress testing program. This is a hands-on, analytical role for someone who wants broad exposure across Treasury, Finance, Operations, and Risk. You will work closely with the Head of Treasury and partner cross functionally to help maintain sound liquidity governance and produce rigorous analysis under both business-as-usual and stressed conditions. This role is responsible for building out Alpaca's liquidity risk infrastructure from the ground up. You will establish daily liquidity reporting, streamline data pipelines, implement intraday monitoring and stress testing capabilities, develop longer-term and Monte Carlo-based stress testing frameworks, and build the alerting and controls needed to support Treasury decision-making as Alpaca launches new products and expands into new markets. While the title reflects managerial scope over liquidity risk and stress testing workstreams, this is primarily an individual contributor role with opportunity to grow into broader leadership as the function matures. What You'll Do: Key Priorities This role will be responsible for building out the following core capabilities: Daily liquidity reporting and streamlined data pipelines Intraday liquidity monitoring Intraday stress testing Longer-term stress testing Monte Carlo simulations for stress testing Alerting frameworks and other necessary controls Daily Liquidity Reporting & Data Pipelines Build and own daily liquidity reporting, ensuring timely, accurate views of firm liquidity positions across products and legal entities Design and streamline data pipelines connecting Treasury, Finance, Operations, and clearing/settlement systems to reduce manual effort and improve data quality Help maintain broker-dealer liquidity reporting related to SEC Rule 15c3-1 (Net Capital), SEC Rule 15c3-3 (Customer Reserve), and related FINRA/SEC requirements Partner with Engineering and Data teams to automate reporting workflows using SQL, Python, and BI platforms Intraday Monitoring Build and maintain real-time and intraday liquidity monitoring capabilities to track cash positions, settlement flows, margin movements, and funding needs throughout the day Establish intraday liquidity metrics, limits, and early warning indicators (EWIs); investigate breaches and prepare escalation materials for Treasury leadership Support same-day funding and treasury operations decisions with timely liquidity analysis during market hours Intraday Stress Testing Develop and implement intraday stress testing capabilities to assess the impact of sudden market moves, margin calls, settlement disruptions, and customer activity spikes on firm liquidity Run and refine intraday stress scenarios in coordination with Treasury Operations and Risk teams Ensure intraday stress results are actionable for real-time decision-making Longer-Term Stress Testing Build out the firm's longer-term stress testing program, including scenario design, assumption documentation, model runs, and results reporting Develop and update stress scenarios — including market-wide and tail-risk events — to assess impacts on net capital, customer reserve, firm liquidity, and settlement flows across multiple time horizons Participate in integrated stress exercises with Market Risk, Credit Risk, and Operational Risk teams and help synthesize results for Treasury and Risk stakeholders Review and challenge assumptions used in stress models; flag areas requiring further review or remediation Monte Carlo Simulations Build and maintain Monte Carlo simulation models to complement deterministic stress testing and better capture the distribution of potential liquidity outcomes under adverse conditions Calibrate simulation inputs, validate model outputs, and incorporate results into Treasury liquidity planning and risk limit setting Alerting & Controls Design and implement alerting frameworks to notify Treasury leadership of limit breaches, deteriorating liquidity metrics, and stress test threshold breaches Build out the controls infrastructure necessary to support liquidity risk governance, including escalation protocols, documentation standards, and audit trails Prepare analysis and documentation for regulatory examinations, internal audits, and management reporting; coordinate with the Risk team as needed Cross-Functional Support Provide liquidity risk input in the New Product Approval (NPA) process, identifying potential funding and liquidity considerations for new asset classes, leveraged products, and international expansion Partner with Engineering, Product, and Operations to help stress-test margin engines, settlement workflows, and treasury systems Contribute to ERM deliverables such as the Risk Register and Key Risk Indicators (KRIs) in coordination with the CRO and Risk team Help document policies, procedures, and methodologies as the Treasury function scales Stay current on regulatory developments, industry stress events, and emerging liquidity risks in fintech and digital asset markets Who You Are (Must-Haves): 2-4 years experience in liquidity risk, treasury, financial risk, middle office, or balance sheet analytics within a broker-dealer, bank, or fintech environment Solid understanding of broker-dealer liquidity and capital requirements, including SEC Rules 15c3-1 and 15c3-3 Hands-on experience building or supporting liquidity reporting, data pipelines, and stress testing programs Experience with intraday liquidity monitoring, stress testing, or real-time risk reporting Familiarity with Monte Carlo simulation techniques or probabilistic risk modeling Familiarity with Treasury operations, cash management, and funding workflows in a regulated environment Working knowledge of risk governance concepts and how Treasury and Risk functions interact in a broker-dealer setting Proficiency in SQL and Python (or similar) for data analysis, pipeline development, reporting automation, and working with large datasets Strong attention to detail and ability to produce clear, well-structured analysis for senior stakeholders Comfortable working cross-functionally in a fast-paced, remote-first startup environment Who You Might Be (Nice-to-Haves): Experience at a self-clearing broker-dealer or carrying/clearing firm Experience building alerting, monitoring, or controls frameworks from scratch Exposure to SPAN, TIMS, or margin methodologies and their liquidity implications Familiarity with crypto/digital asset liquidity risk or 24/5 trading environments Experience supporting SEC/FINRA examinations or internal audit requests Knowledge of international regulatory frameworks across Alpaca's global subsidiaries FRM, CFA, or similar certification (or in progress) Prior experience in a high-growth fintech where processes and frameworks are still being built How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. 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Location: New York, NY, United States, Boston, MA, United States What is Box Box (NYSE: BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, California, with offices across the United States, Europe, and Asia. Content powers how we work. It is the information flowing across teams, departments, and business processes every day. Our mission is to bring intelligence to content management and help customers transform workflows. At Box, you will help build the teams working at the front line of that change. Why Box needs you The competition for experienced Sales and Go To Market talent is intense. AI can help recruiting teams identify people whose experience appears relevant, but a list of names is only a starting point. The opportunity is to understand where the right talent is, find a credible way to reach them, and give them a reason to consider Box. You will bring the business context, creativity, and relationship skills that make early engagement relevant and human. What you will do Set the talent engagement strategy. Work with Sales and Go To Market leaders and Recruiters to understand hiring priorities, clarify the profile, and choose the best approach for each search. Focus your time on specialized, senior, or business-critical roles where market knowledge and personal engagement can change the outcome. Build useful talent market insight. Map relevant talent pools across companies, communities, networks, and adjacent industries. Use recruiting tools and AI-assisted search to widen discovery, then assess whether the profiles surfaced are current, credible, and relevant to the role. Share what you learn about talent availability, skills, motivations, and barriers with the hiring team. Create thoughtful ways into conversation. Develop candidate-specific approaches that explain why the role, team, or business challenge may be worth a conversation. Use direct outreach, employee and professional connections, referrals, communities, events, and other channels that fit the audience. Build relationships with high-priority talent over time, including people who may not be ready to move now. Calibrate sourcing and outreach tools. Use AI and recruiting technology to support research, search, prioritization, and message preparation. Review samples of the results, test for relevance and quality, identify errors or patterns that could narrow or distort the pool, and adjust inputs and workflows. Keep human judgment in decisions about whom to contact and what to say; protect candidate information and follow Box policies. Qualify interest and share context. Hold early conversations that explore the person’s experience, interests, and potential fit. Give an accurate picture of the work and Box, listen for what matters to the candidate, and pass useful context to the recruiter and hiring team with the candidate’s knowledge. Partner through the hiring process. Work in close partnership with the GTM Recruiters, who coordinate the search and candidate progression. Provide a clear handoff and stay involved as needed to support engagement, answer market questions, and help the team address candidate concerns. Contribute to a respectful, timely candidate experience through offer and close. Represent Box with care. Build authentic relationships with talent communities and represent Box at relevant events and professional forums. Tell the Box story accurately and connect people to the right opportunity without overpromising. Who you are You have 7 or more years of recruiting experience, including a strong record of finding and engaging in-demand talent and helping close successful hires. You have recruited Sales talent in a technology company and understand the distinctions among Commercial, Enterprise, and other Go To Market roles. Experience in technical or broader Go To Market recruiting is useful. You enjoy market research and relationship-building as much as search tools. You can find talent beyond the most obvious channels and develop a relevant reason for a candidate to respond. You understand how AI-assisted search and outreach tools work in practice. You can check their results, recognize when a match or message needs correction, and improve how the team uses them. You communicate clearly in writing and conversation, can tell an honest and compelling business story, and are comfortable engaging senior leaders and passive candidates. You use recruiting data to learn and influence decisions, while accounting for factors such as compensation, role design, market conditions, and hiring process quality. You build trusted relationships across functions, manage multiple priorities, and make thoughtful decisions in a fast-moving environment. You bring a team-centered, solutions-oriented mindset, curiosity, and a willingness to keep learning. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information, check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . New York City Pay Range $140,000 — $175,000 USD

Location: United States Our client is hiring a Staff-level engineer to lead a highly specialized team building cutting-edge, high-throughput signal processing systems that turn raw satellite radar data into SAR imagery, deployed on the ground and potentially on board spacecraft. Fully remote from the US; optional relocation to Vancouver later. What you will do • Lead the definition, specification, technical risk management, integration, verification and validation of SAR processors, new and existing • Supervise interface control document development; ensure hardware and software components integrate into the larger ground or space segment • Coordinate trade-offs between theoretical algorithms and their implementation on the actual processor • Troubleshoot root causes of processing errors and artefacts in image products and find mitigations; optimize processing time toward near-real-time • Take part in mission design trade-off studies; mentor the team; advise senior management and new business pursuits What you need • Degree in Electrical Engineering, Engineering Physics, Math or Physics (or equivalent) • 12+ years in an engineering environment, including 5+ years on complex signal processing systems (radar, medical imaging, computer vision or similar) and 10+ years in a large product development or systems engineering environment • Solid grounding in high-speed, high-throughput data analysis and transmission design • MATLAB, Python or C++ • Clear communicator to technical, sales, executive and customer audiences • US citizen or permanent resident Nice to have : SAR remote sensing (system design, operation, exploitation, calibration); satellite SAR payload design and operations; FPGA or ASIC based system design; geospatial data.

Location: United States Our client, a global leader in Earth-observation satellites, is hiring a Senior Systems Engineer (MTS), SAR Missions. Fully remote from the US is fine for the first couple of years; relocation to the Vancouver, BC area later is optional, not required. What you will do • Contribute end-to-end to SAR engineering across the full lifecycle of a SAR space mission • Contribute to the mission concept of operations and high-level mission specs, including spacecraft budgets for the SAR payload • Lead technical solutions for mission enhancements: beam mode design, mission concept design, image quality modelling • Take part in mission-level risk management, integration, verification and validation • Own design trade-offs across spacecraft systems, coverage and access, SAR payload, SAR processor and end-user applications • Key member of the team through commissioning, calibration and early operations; mentor others What you need • Graduate degree in Electrical Engineering, Engineering Physics, Math or Physics (or equivalent) • 10+ years with radar, SAR or similar active imaging systems (hardware, processors and/or data products) • 5+ years in a space systems engineering or similar complex systems environment • SAR remote sensing experience: system design, operation, applications/exploitation and/or calibration • Strong communicator • US citizen or permanent resident Nice to have : MATLAB, Python; satellite SAR payload design and operations; space mission design; spacecraft design; geospatial data.

Location: United States Our client, a global leader in Earth-observation satellites, is hiring a Staff Systems Engineer for its Synthetic Aperture Radar (SAR) missions. Fully remote from the US is fine for the first couple of years; relocation to the Vancouver, BC area later is optional, not required. What you will do • End-to-end oversight of SAR engineering across the full lifecycle of a SAR space mission • Own the mission concept of operations and high-level mission specs, including spacecraft budgets that drive the SAR payload • Lead technical solutions for current and future SAR missions: beam mode design, mission concept design, SAR image quality modelling • Lead mission-level risk management, integration, verification and validation • Run design trade-offs across spacecraft systems, coverage and access, SAR payload, SAR processor and end-user applications • Own the SAR side of commissioning, calibration and early operations • Advise senior management and new business; mentor the team What you need • Graduate degree in Electrical Engineering, Engineering Physics, Math or Physics (or equivalent experience) • 15+ years with radar, SAR or similar active imaging systems (hardware, processors and/or data products) • 10+ years in a space systems engineering or similar complex systems environment • SAR remote sensing experience: system design, operation, applications/exploitation and/or calibration • Strong communicator across technical, sales, executive and customer audiences • US citizen or permanent resident (export-control and Controlled Goods requirements) Nice to have : MATLAB, Python; satellite SAR payload design and operations; space mission design (coverage and access, orbital dynamics); spacecraft design (thermal, power, pointing); geospatial data.

Location: Remote - India AI/ML Solution Architect Education & Assessment Platforms About Pratham International Pratham International is a US 501(c)(3) established to support learning innovations for children and youth in contexts across the globe. We enable the adaptation and spread of proven and scalable education solutions pioneered in India by Pratham Education Foundation to contexts across the global south through programming and technical assistance tailored to local realities. Today, Pratham innovations reach millions of children annually through partnerships across ~30 countries. Through the Pratham Shah PraDigi Innovation Centre (PraDigi), Pratham International also seeks to create technology innovations for low-resource communities, and support models aimed at learning for school, work, and life for children and youth. We work on several cutting-edge projects in the domain of Generative AI, Automatic Speech Recognition, and Natural Language Processing. The team’s innovative technology products include the PadhAI: Reading Assessment App, which uses advanced speech recognition to evaluate children’s reading fluency in 8 Indian languages and 6 global languages; Anytime Testing Machine (ATM), an AI-enabled question generation and grading system that allows learners to be assessed on any topic, anytime; and a suite of AI-powered chatbots designed for diverse learning contexts: from early childhood care, to youth employment readiness, and OCR-based analysis tools that digitize and assess student work at scale. At Pratham International, we build for the long term. Whether it’s ensuring products are truly accessible across rural India and the global south through languages, building datasets to ensure context and accuracy for products, or gathering feedback from the field. Backed by partners like Google.org, Anthropic, and the Gates Foundation, we are committed to building digital public goods that ensure every child is in school and learning well. Role Overview About the work We design and deliver AI systems that governments and large education programmes can actually run: curriculum-aligned item generation, paper assembly, handwriting OCR, rubric grading, and teacher-in-the-loop review. The work is already live as practice assessment in India and is being built as a national exam platform in Rwanda, with further country programmes behind it. We are hiring a Solution Architect who sits between discovery and delivery. You will turn messy workshop notes and ministry requirements into architecture a team can build, secure, cost, and operate — RAG and multi-agent systems, LLM-as-judge pipelines, and the cloud/LLMOps layer underneath. You will Own solution design from first workshop to a delivery-ready blueprint (services, data stores, trust boundaries, cost, ops). Architect LLM pipelines: generation, retrieval over curriculum knowledge graphs, standards/duplication/quality judges, constraint-based paper assembly. Design human + AI workflows with audit, segregation of duties, cycle-pinned config, and no student PII in model calls. Choose and govern models, prompts, eval gates, and fallbacks (including OCR: Azure primary, secondary fallback). Shape the Azure/AWS platform: identity, networking, LLMOps/MLOps, observability, and sovereign-hosting constraints. Run client workshops, write POVs and architecture packs, and stay accountable until the system is in production. About the work Pratham International programmes sit at the intersection of pedagogy, public systems, and production AI. The pattern is consistent across countries; the constraints change. Anytime Testing Machine (ATM) — India, practice and feedback End-to-end assessment for real classroom conditions: generate curriculum-aligned items, digitise handwritten answers (often photographed on a phone), grade against rubrics, and return feedback a teacher reviews before it reaches the learner. Built for high pupil–teacher ratios, mixed language (e.g. Hindi + English), and uneven connectivity. Pilots have already reached thousands of learners, including Second Chance (women returning for Grade 10). Model quality is measured against expert golden sets, not vendor slides. National assessment automation A government-grade exam platform. Phase 1 is item authoring and print-ready paper composition before the exam window. Phase 2 is script intake, OCR at national volume, AI-assisted grading with human confirmation on the pilot, results export, and monitoring/evaluation reporting. Subjects span core and elective streams across the curriculum. Design rules that do not exist in a typical SaaS product: cycle-pinned configuration, embargoed papers, hash-chained audit trails, and integration with national student information and assessment management systems. Curriculum knowledge graphs Structured retrieval corpora (concepts + worked examples) that ground generation and judging. This is the standing public-knowledge exception in an otherwise closed exam system, and the seed of a broader education DPI conversation. AI in TaRL and teacher support AI tools that help teachers group and teach by learning level, with an RCT-shaped evidence bar. Same product family: human agency stays in the loop; the model is a capacity multiplier. Country programmes and the three-year direction Adapt the same engine to new ministries, languages, and exam rules (Kenya and other Global South programmes are in scope). The longer bet is a learning and credentialing engine that recognises competence beyond a single syllabus. This is not a chatbot brief. It is constrained generation, retrieval, judging, document AI, workflow, and public-sector operations. Why this role exists Most enterprise AI dies between the workshop and production. We need one person who owns that gap: someone who can sit with NESA, C4IR, Pratham pedagogy, and engineering in the same week, and leave behind a blueprint the delivery team can execute without inventing policy. The target profile is a practising AI/ML Solution Architect — not a pre-sales slide owner, and not an infra-only platform engineer. The person should have done all three of these: Designed GenAI / NLP solutions, PoCs, and client workshops, and can talk to research-grade issues (eval, agent safety, prompt-injection, model-specific behaviour). Owned the AI platform: LLMOps, MLOps, DevSecOps, SRE habits, cloud migration, and FinOps. Taken messy discovery and turned it into Azure-centred RAG and multi-agent designs that a security team will accept. Key Responsibilities Discovery → architecture Lead solution workshops with programme, ministry, and engineering stakeholders. Convert half-formed requirements into service cuts, data stores, sequence diagrams, decision gates, and open-question lists with owners. Write architecture decision records. When the docs disagree (they will), force a decision instead of coding both. AI system design Design LLM jobs as contracts: inputs, JSON schema, temperature, persist prompt hash / model / tokens / latency. Architect generation grounded in structured curriculum blueprints and knowledge-graph retrieval, not "ask the model for a maths paper." Design LLM-as-judge banks (cognitive-level, relevance, difficulty, language, fairness, standards, duplication, blueprint compliance) with thresholds, one-repair rules, and golden-dataset release gates. Design hybrid assembly: constraint solver first, model only on ties and layout exceptions. Design document AI: primary OCR provider, secondary fallback provider, confidence routing, de-identification before any grading call. Specify eval: inter-rater agreement, rubric-band exact match, first-pass item acceptance, cost per paper cycle. Platform, trust, cost Own the reference architecture on the chosen cloud platform(s): identity, RBAC + segregation of duties, private networking, key management, object storage for scans, vector index, data warehouse for monitoring/evaluation reporting. Draw trust boundaries. Student PII never crosses the model gateway. Prompts are curriculum + knowledge-graph + blueprint content only. Put FinOps on the design: token budgets, OCR cost caps, degradation behaviour when a cap is hit, model routing. Specify LLMOps/MLOps: prompt/version registry, eval regression as a release gate, observability, rollback. Design for sovereign hosting and exam-cycle operations (embargo, watermarking, append-only audit, cycle-pinned configuration). Delivery and thought leadership Stay with the build through the first production cycle. Architecture that cannot be implemented is unfinished work. Produce POVs, sequence packs, and workshop artefacts that can be reused in the next country. Mentor tech leads on where the model should stop and the workflow should start. Success in the first two quarters First 30 days — Orient Complete architecture walkthroughs of every live/in-flight system with the current engineering leads; document current state (services, data stores, trust boundaries) as-is, not as-designed Meet every active stakeholder group once: engineering, programme/domain leads, and any external partner or government-side counterpart Inventory all open technical decisions and disagreements in existing specs; log each with current owner (if any) and status Identify the single highest-risk unresolved design question and flag it upward Day 60 — Diagnose Produce a current-state architecture diagram covering every major pipeline: data flow, model/LLM touchpoints, storage, and identity/access boundaries Assign an owner and target resolution date to every open contradiction identified in month 1 Draft a v1 reference architecture for one representative end-to-end workflow: service breakdown, data stores, identity/access model, model gateway placement, and a first-pass cost estimate Day 90 — Commit v1 reference architecture is reviewed and accepted by engineering and relevant stakeholders (not just self-signed) Can walk any core pipeline end-to-end from memory and name every data store, every quality/eval gate, and every trust boundary in it At least one architecture decision record is published for a previously-contested design question, with the decision forced rather than left open A first cost model exists for the reference architecture, with at least one identified lever for reducing spend if usage scales Day 120 — Harden Core pipeline components (generation, retrieval, judging/eval, or equivalent stages for this domain) have documented contracts: defined inputs/outputs, schema, and logged metadata (model, version, cost, latency) An evaluation harness exists for at least one component, with a defined pass/fail threshold A release gate exists that can block a bad prompt, model, or config change from reaching production Day 150 — Extend The next major system phase or capability is specified to the same rigor as the first: trust boundaries, failure modes, fallback behavior, and cost caps documented before build starts FinOps guardrails are in place for at least one production workload: budget ceilings, degradation behavior when a cap is hit, and a routing or fallback strategy Day 180 — Generalize A reusable design pattern or adaptation pack exists, separating what is fixed in the architecture from what varies by deployment context (e.g. language, hosting environment, external-system integration, content/domain rules) At least one engineering or technical lead has been mentored on where model-based logic should stop and deterministic/workflow logic should take over A second production-readiness review (security, cost, or operations) has been passed on a system this person designed or substantially redesigned Qualifications and Experience Must have 8+ years building software or data/AI systems, with recent experience as a Solution Architect, AI/ML Architect, or Principal/Staff Engineer with end-to-end architecture ownership. Shipped at least one production AI/ML system — RAG, multi-agent, LLM-as-judge, or a comparable classical ML/NLP pipeline at scale — that passed a real security, cost, and operations review, not just a pilot or a slide deck. Can produce a delivery-ready architecture blueprint: services, data stores, IAM, failure modes, evaluation strategy, and cost model — detailed enough that engineering isn't guessing at intent. Deep cloud experience on Azure and/or AWS: comfortable defending a landing-zone design, private-endpoint architecture, and a real monthly compute/inference/OCR spend. Fluent in Python, with hands-on experience in both classical ML (model training, evaluation, feature pipelines) and how LLM APIs, embeddings, and vector search actually behave under production load. Comfortable running a room with non-engineers — domain specialists, IT stakeholders, monitoring/evaluation teams — and translating fluently in both directions. Strong written English; this role's output is documentation that functions as a binding technical contract. Strongly preferred Azure AI (AI Foundry / OpenAI / Document Intelligence), plus one of AWS (Bedrock, SageMaker) or GCP (Vertex, BigQuery). LLMOps / MLOps: prompt + model versioning, MLflow or equivalent, eval harnesses, CI that can block a bad prompt. Document AI / OCR at volume; handwriting and low-quality scans, not only clean PDFs. RAG over structured knowledge (graphs, ToS, textbooks) and hybrid search, not only naive chunking. Education, assessment, public sector, or other high-audit domains (health, finance, identity). Certifications: Azure Data Scientist / Azure Solutions Architect; AWS SAA, ML Specialty, or Data Analytics Specialty. Experience with agent security: tool-use limits, DLP on egress, prompt-injection evaluation that is model-specific. FinOps discipline. You have killed a design because it would not survive the token bill. Nice to have Microsoft Fabric, Databricks, Semantic Kernel / Microsoft Agent Framework, MCP (Model Context Protocol) tool integration for agentic workflows. Constraint solvers or exam-blueprint / item-bank systems for automated test assembly. Multilingual generation and feedback, including code-mixed language pairs (e.g. Hindi–English, Spanish–English, or similar). Experience standing up golden/eval datasets with subject-matter experts. Prior work with government data systems, data-sharing agreements, or in-country/sovereign hosting requirements. What this role is not Not a research-only post. Publications help; shipping is the job. Not a pure platform/SRE hire. Infra is part of the design, not the whole design. Not a prompt engineer who hands off “the architecture” to someone else. Not a people manager of a large team on day one — you influence through artefacts and reviews. How we will assess you We value transparency and respect your time. Our hiring process is designed to evaluate both hands-on technical depth and architectural judgment through practical, real-world tasks. Stage 1: Application & Knockout Screening Submit your CV alongside key screening responses Artefact — send two of: architecture note, eval design, runbook, ADR. Slides without decisions do not count. Stage 2: Initial Conversation (30 mins) An introductory screen covering your background, project context and baseline alignment. An opportunity for you to ask questions about our technical roadmap, partner ecosystem, and vision. Stage 3: Practical Take-Home Written Assessment (2–3 hours) Design exercise on a constrained generation + judge + human-review pipeline (we will use a sanitised exam-authoring brief). We want trust boundaries, eval, and cost, not a model-name dump. Stage 4: Deep-Dive Technical & System Architecture Walkthrough Walkthrough of a system you shipped: what failed in review, what you changed, what it costs to run. Stage 5: Final Stakeholder & Vision Alignment Final conversation with key technical leadership and program stakeholders. Employment Details Function: Solutions / Architecture Reports to: Head of Technology / CTO Expected Start Date: Immediate Location: India (remote-first; travel to client workshops as needed) Experience: 8–13 years (strong 6–8 considered if you have shipped production GenAI) Engagement: Full-time Remuneration: Based on candidate’s experience and skillset Flexibility to work across timezones: Our team spans Latin America to Southeast Asia. Early mornings  or late evenings can be a regular part of the rhythm Why join us? Impact at Scale: Your work will directly support the learning journeys of millions of children. With programs active in 31 countries, you will help build Digital Public Goods that bridge the gap for the millions of children across the Global South who still struggle with foundational literacy Innovation at the intersection of Education and Technology: Lead the charge in redefining learning and learning processes through technology. You will contribute to the design and development of cutting-edge learning tools and AI-driven initiatives, ensuring EdTech isn’t just a buzzword, but a scalable solution for global equity. A Culture of Growth and Evidence: At Pratham, we value rigorous testing and continuous learning. You will have the autonomy to experiment with the latest SOTA models, supported by a 5-year strategic roadmap and funding from partners like the Gates Foundation and Anthropic. High-Calibre, Mission-Driven Team: You will work alongside a global team of experts from institutions like MIT, Harvard, and INSEAD. Our alumni have gone on to lead successful startups and international policy shifts, all while remaining dedicated to the goal of “Every Child in School and Learning Well.” Inclusive and Collaborative Environment: Join a diverse team that spans Asia, Africa, and Latin America. We value innovative thinking and local expertise, ensuring that the technology we build is deeply rooted in the realities of the communities we serve. Pratham International is an equal opportunity employer and encourages all qualified people from diverse backgrounds to apply for positions within our organisation, regardless of race, gender, disability or any other status.

Location: Hanoi; Shenzhen / Dongguan / Guangzhou / Foshan Workplace: onsite Ajax Systems, an international tech company and the largest manufacturer of security systems in Europe. We are looking for an experienced Lead CCTV Industrialization Engineer and NPI Expert with broad hands-on expertise in electronic, mechanical, and optical product development, manufacturing introduction, validation, and production testing. The key objective of this role is to share practical expertise across R&D, NPI, and Manufacturing, to build up proper CCTV manufacturing processes, ecosystem, and lines to maximize throughput and efficiency. A mandatory requirement is substantial practical experience in a mature, well-established company with proven engineering and manufacturing processes for video surveillance IP cameras and similar devices. Mandatory requirements 7+ years of practical experience in Video/CCTV device development, NPI, Product Industrialization, Manufacturing Engineering, Product Engineering, or related hardware manufacturing roles Experience in building/managing CCTV manufacturing line Proven hands-on experience across the full product lifecycle in a mature manufacturing company Ability to identify industrialization risks during the design stages and provide practical recommendations to R&D, Mechanical, Hardware, Firmware, QA, and Manufacturing teams throughout all development and manufacturing stages Practical experience with factory production and mass-production ramp-up, including onsite factory support Strong understanding of production-line structure and manufacturing processes for video devices Deep understanding of environmental and reliability validation, including temperature and humidity testing, mechanical testing, and burn-in testing Expert knowledge of optical subsystems, image sensors, and ISP performance, including validation, testing flows, troubleshooting, and issue resolution Ability to identify whether image-quality issues originate from hardware, optics, mechanics, ISP tuning, firmware, or manufacturing processes Practical experience with image sensor contamination control, clean assembly procedures, dust inspection, and dust-ingress prevention Ability to act as a technical authority and knowledge-sharing expert rather than only as an execution-focused engineer Technical Background and Expertise Strong understanding of optics and camera assembly, lens systems, focusing, Active Alignment (AA), dust contamination control, and dust protection Experience with flat protective glass, domes, plastic windows, IR windows, coatings, mechanical stress, and contamination effects on optical systems Clear understanding of plastic and metal enclosure design principles, injection-molded and die-cast part manufacturing technologies, including sealed enclosures, membranes, waterproofing, and other outdoor product design specifics Experience with IPX6 / IPX7-type testing, leak testing, and pressure testing Deep understanding of moisture and condensation issues in sealed devices, including the use of silica gel or molecular sieves and membrane vents Strong practical understanding of video camera manufacturing issues such as damaged pixels, shading, fixed-pattern noise, sensor tilt, and sensor mounting defects Understanding of AWB, AE, OBC, and AI-enabled ISP technologies Experience with factory sensor and optical calibration procedures and image quality validation principles Good understanding of Ethernet, IEEE 802.3af / 802.3at, PoE, and EMI / EMC interactions Working knowledge of Embedded Linux / RTOS, boot processes, factory firmware flashing, Secure Boot, OTA updates, and recovery mechanisms Basic practical understanding of 2.4 GHz / 5 GHz behavior, interference, attenuation, antenna placement, and enclosure impact Understanding of Li-ion / LiFePO4 fundamentals, charging and discharging, standby and active current consumption, and realistic battery-life validation Basic understanding of microphone and speaker validation, including enclosure and waterproof membrane impact Preferred knowledge of video WDR / HDR, AI-enabled ISP technologies, low-light optimization, H.264 / H.265 / AV1 fundamentals, and bitrate / quality trade-offs We offer The opportunity to suggest and implement your own ideas that directly influence the product and its mass production A place in a fast-growing company with a motivated and professional team Competitive salary Medical insurance Corporate English classes The opportunity to participate in Ajax’s internal beta-testing program for security systems Discounts from partner companies Discounts on Ajax products Ajax Systems is a Ukrainian success story that has grown into a global product. Ajax devices are trusted by more than 4.5 million end users and 330,000 PRO users in over 180 countries. The company provides comprehensive solutions to protect residential and commercial properties of all sizes. Today, Ajax portfolio includes 280 devices for intrusion protection, video surveillance, fire safety, and comfort and automation.

Location: Helsinki, Finland About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Team Cx App Foundations is a platform organisation within our global Cx organisation. It provides shared consumer foundations and platform capabilities used by engineering teams across Wolt, DoorDash, and Deliveroo. Within this organisation, the Velocity team owns the paved road for consumer app development across mobile and web: shared SDKs and client foundations, integration patterns and multi-brand customisation, migration playbooks and reference implementations, and developer tooling that makes building on shared foundations fast and safe. Our mission is to reduce the cost, time, and risk of building consumer experiences across platforms and brands. Product teams own customer-facing experiences; our job is to make sure they can spend their time on delivering delightful experiences. The team is AI-native: AI is a default part of how we design, build, and ship software. About the Role As the Engineering Manager, you will lead a team of experienced engineers across mobile and web, collaborating closely with product teams, design, and adjacent platform organisations across three brands. Your primary responsibility will be owning the team's roadmap and delivery of shared client foundations, and driving their adoption across the organisation, so that product teams ship delightful customer experiences without rebuilding the foundations under them. You will be a key player in keeping the team's operating model healthy: clear intake from stakeholders, predictable delivery, and support expectations that keep the platform from drifting into a general escalation queue. You will also guide architectural and system design decisions with your tech leads. You will stay hands-on: contributing code, reviews, and prototypes alongside the team is part of the job. This role is ideal for a leader who has run platforms, SDKs, or shared services for other engineering teams, communicates clearly across brands and time zones, and wants their impact measured through what other teams achieve with the foundations you ship. You're excited about this opportunity because you will… Own the platform roadmap - the shared SDKs, client foundations, and developer tooling the team ships - and sequence it against the migration and adoption goals of the three brands Drive adoption of the shared foundations by partnering with product teams, running onboarding and rollout support, and making the supported path the easiest path Lead, coach, and grow experienced mobile and web engineers, keeping growth conversations, calibration, and feedback loops running Keep the team's operating model healthy: clear intake (stakeholder management, shared-platform, product-specific, or exception work), supported capabilities with entry criteria and support expectations, and predictable delivery Guide architectural and system design decisions for client foundations that three brands and multiple app platforms depend on Stay hands-on by contributing code and reviews alongside the team, and champion AI-native development practices Grow the team through hiring Our humble expectations You have 3+ years of experience managing engineers, including a team with senior engineers You have a solid background (5+ years) in mobile or web engineering, with enough technical depth to hold your own in architecture discussions about client foundations You use AI tooling fluently in your day-to-day work and stay close to the code You have run a platform, SDK, or shared service that other teams depend on, and know how to treat internal customers as customers You work across boundaries naturally: product teams, design, other platform organisations, data/analytics and stakeholders in other locations and time zones You hold a high bar for engineering quality and can navigate production incidents and release tradeoffs with calm structure You are based in Helsinki, Finland What we offer A platform leadership role with real leverage: the foundations the team owns shape how consumer experiences get built across Wolt, DoorDash, and Deliveroo, and your roadmap decisions multiply across every product team that builds on them. Next steps The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us! The compensation will be a combination of monthly pay and DoorDash RSUs. The latter makes it exceptionally easy to be excited about our company growing and doing well, as you’ll own a piece of the pie. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Dubai, United Arab Emirates M1 CONSTRUCTION L.L.C is seeking a skilled Land Surveyor to join our team. The successful candidate will be responsible for conducting precise land surveys for construction projects to determine property boundaries, topography, and other essential site data. This position plays a vital role in ensuring the accurate planning and execution of construction activities. Key Responsibilities: Perform land surveys using various surveying instruments and technologies, including GPS and total stations. Collect, analyze, and interpret field data to produce detailed survey maps and reports. Demarcate property boundaries and stake out construction layouts according to project specifications. Coordinate with engineers, architects, and contractors to provide accurate site information. Ensure compliance with local surveying standards, regulations, and safety procedures. Maintain and calibrate surveying equipment for optimal performance. Prepare documentation, including legal descriptions and survey certificates. Requirements Bachelor’s degree or diploma in Surveying, Geomatics, Civil Engineering, or a related field. Proven experience as a Land Surveyor in the construction industry. Proficiency in using surveying instruments and software such as AutoCAD, GIS, and GPS technology. Strong understanding of local land surveying laws and regulations. Excellent attention to detail and strong analytical skills. Good communication and teamwork abilities. Ability to work on-site under various environmental conditions. Benefits Visa provided Health Insurance provided Very competitive salary

Location: Riyadh, Saudi Arabia The Botanic Garden Maintenance Specialist is responsible for the specialised maintenance, environmental management, and plant-health care of botanic collections, with particular focus on rare, delicate, and environmentally sensitive species. The role ensures that greenhouses, conservatories, specialised plant areas, and associated horticultural systems maintain optimal growing conditions through systematic monitoring, preventative maintenance, and effective environmental control. Key Responsibilities Maintain optimal environmental conditions across greenhouses, conservatories, and specialised plant areas, including temperature, humidity, lighting, ventilation, and irrigation. Conduct regular plant-health inspections and identify signs of stress, pests, diseases, nutrient deficiencies, and environmental issues. Implement specialised care and maintenance protocols for rare, sensitive, and high-value plant collections. Operate, monitor, maintain, and troubleshoot irrigation, environmental control, lighting, sensors, and other horticultural systems. Manage irrigation and fertilisation programmes according to plant requirements, seasonal conditions, and water quality. Monitor soil, growing media, substrates, drainage, moisture, and root-zone conditions, and prepare or amend growing media as required. Implement greenhouse and conservatory cleaning, sanitation, sterilisation, and biosecurity procedures. Support Integrated Pest Management (IPM) and preventative plant-health programmes. Qualifications Bachelor's degree in Horticulture, Botany, Plant Sciences, or a related discipline. Specialist certification or training in greenhouse management, controlled-environment horticulture, irrigation, plant health, or horticultural equipment maintenance is advantageous. Fluency in English and Arabic is required. Experience Minimum 5 years of relevant professional experience in botanic garden maintenance, greenhouse operations, conservatories, specialist horticulture, or a comparable environment. Proven experience caring for rare, delicate, sensitive, or high-value plant collections. Hands-on experience with controlled-environment systems, irrigation, fertilisation, growing media, plant-health management, IPM, and greenhouse hygiene. Experience operating, troubleshooting, maintaining, and calibrating horticultural and environmental monitoring equipment. Experience implementing preventative and seasonal maintenance programmes and maintaining detailed technical and plant-health records. Experience working collaboratively with horticulture, facilities, engineering, contractors, and specialist technical teams. Previous experience in a botanic garden, conservatory, major public garden, research facility, or specialist horticulture environment is preferred. Core Competencies Specialist knowledge of botanic garden and controlled-environment horticulture. Strong plant-health assessment and diagnostic skills. Knowledge of irrigation, plant nutrition, soil and substrate management, IPM, and biosecurity. Strong technical and preventative-maintenance skills. Ability to interpret environmental monitoring data and respond to changing plant and system conditions. High attention to detail when working with sensitive collections. Strong planning, record-keeping, problem-solving, and organisational skills. Effective written and verbal communication and teamwork. Commitment to plant conservation, sustainability, safety, and horticultural excellence.

Location: US: San Mateo (1875 South Grant Street) Workplace: Hybrid OUR PURPOSE At Xero, we’re here to help you supercharge your business. We do this by automating routine tasks, surfacing actionable insights and connecting businesses with the right data, advisors and apps. When that happens, we’re not only making life better for small businesses, we’ll be building a stronger economy that can change the world. HOW YOU’LL MAKE AN IMPACT Our VP People Experience (PX / HR) Partnering will serve as both a direct HR Business Partner to senior leaders and a leader of teams providing HR Business Partnering and Advisory services across the business. You will report directly to the EGM PX Enablement and HR Partnering, playing an important role to develop, embed and deliver on our global People strategy WHAT YOU’LL DO To thrive in this role, you will love working in the business as well as mentoring, coaching and growing your team. The combination of leadership, business partnership and hands-on collaboration requires someone who embraces challenges, competing priorities and the ability to make an impact. - Provide strategic HR Business Partnering support to XLT member(s) and lead the Business Partners supporting your XLT members function and their leadership teams. - Provide leadership and Business Partner guidance to the Managing Director of North America on regional issues impacting North America, with specific focus on the U.S. and Canada. - Work closely with the other GM/VPs of PX/HR Partnering to ensure strong collaboration and communication to align with a ‘one team’ approach across all of HR Partnering. Together you will evolve and drive our strategic business HR partnering objectives, ensuring that consistent and impactful people programs are delivered in alignment with the global people strategy. - Collaborate with your peers in PX Center of Excellence teams (OD, Remuneration, Workplace), working as one team seamlessly across our global locations and with our global PX team embodying ‘we make it together’. - Identify the unique skills and development opportunities across your team to ensure they are working to demonstrate or role model the capabilities in our PX Capability Framework. - Serve as a trusted advisor to your XLT member(s) providing ongoing support & guidance with all aspects of People Experience inclusive of talent management, annual team calibration, organisational design, restructures, and much more. - Support complex, sensitive and/or high risk ER issues when required. - Maintain an in-depth knowledge of employment legislation and practices, advising on risks and ensuring regulatory compliance. Act as HR partner with the legal team/external lawyers as needed/required. - Utilize data to strategically analyse trends and metrics in partnership with the team to develop solutions, programs and policies aligned to priorities. - Working closely with our Talent teams you will ensure recruitment priorities are met and drive workforce planning for your portfolio. - Ensure COEs have an understanding of priorities in the Business Services portfolios and work in partnership to ensure programs and resources are developed that are relevant and timely. - Build a positive employee experience that empowers Xeros to thrive and leads to improved business performance. - Play an important role across the PXP function to test, experiment and improve how we work inline with our PX Transformation and team evolutions. - Support the Chief People Officer and EGM Enablement and HR/PX Partnering as needed. - Proactively understand and manage risks as they relate to your role. - Proactively understand and manage compliance and regulatory obligations for your areas of responsibility. SUCCESS LOOKS LIKE - The reputation of the People function at Xero is upheld, in terms of providing highly credible, strategic, efficient and appropriate HR advice. - Strong working relationships are maintained with key stakeholders, team members and peers. - You are a trusted advisor to your XLT member(s) and their leadership team. - Your team is highly engaged and understands how they contribute to the PX objectives and the overall success of Xero. - Your team operates with psychological safety and a sense of collaboration, open & direct communication and consistent touch points for feedback. - The HR advice provided (and documentation prepared) is of a high quality standard, is timely and accurate. - People are treated with dignity and respect at all times. - Feedback from business stakeholders about the quality of service/advice/coaching/challenge provided is positive. - Xero meets all legislative compliance requirements at all times balancing risk with pragmatism. - Contributing to a positive working environment and culture throughout Xero that aligns with our Values both within your own team, across all of PX and the business. WHAT YOU’LL BRING WITH YOU Critical competencies Experience - Business Insight - Shows ample business and industry knowledge. Maintains good business knowledge and uses it to make sound decisions for the organisation. Responds effectively to changing market dynamics and new business information. - Collaborates - Seeks out a broad range of perspectives and takes clear steps to address the major barriers to collaboration. Creates a culture where people feel able to express themselves with honesty; urges teamwork with other groups, functions, and teams. - Plans and Aligns -Distributes organisational resources in a way that aligns with strategic plans and priorities. Takes steps to coordinate and align plans across teams. Supports strategic objectives with aggressive yet realistic time frames. - Ensures accountability - Emphasises accountability and takes clear action to ensure that the organisation meets its commitments. Uses key indicators, processes and management systems to monitor the organisation’s performance against goals. - Strategic mindset - Considers multiple scenarios to best prepare the organisation for potential changes and possibilities. Ensures organisational strategies from various units are aligned and integrated for optimal competitive advantage. - Communicates effectively - Takes steps to create forums where people can express themselves openly and regularly. Delivers messages effectively to groups ranging from direct reports to senior executives. Explains strategic / major initiatives in a candid, timely, and appropriate manner. - Manages complexity- Understands the systematic elements of issues; sees the major connections, linkages and interdependencies of problems. Takes steps to ensure the organisation has the resources and processes in place to gather the information it needs. Integrates the relevant pieces of information to gain a solid understanding of the issues. - Instills trust - Demonstrates dependability and builds a team with a reputation for living up to its commitments. Gains others’ trust and respect by showing consistency between what is said and what is done. Acts as a role model for honesty and transparency. - Demonstrated experience in leadership roles, covering the broad generalist spectrum of HR within fast paced, high performing organisations. - Experience developing people related strategies and plans to achieve business outcomes. - Success in developing and leading high performing teams. - Deep understanding of multiple HR disciplines, including remuneration practices, employee relations, diversity, performance management, and relevant employment legislation. - Experience working with and coaching senior executive stakeholders on complex people issues. - Degree, Post Graduate or equivalent work experience. Compensation & Total Rewards At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheck. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits. The expected base salary range for this role in: - California: $275K-$300K USD Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: Medical, dental, vision, 401(k) match, and 21 days PTO, 10 days of Wellbeing leave, 5 days of Xtra Leave, 1 volunteer day, 12 paid holidays, paid parental leave. Further information included on our Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ page. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

Location: New York, NY (HQ); San Francisco, CA; Chicago, IL; Miami, FL Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Ramp is building institutional partnerships with top global strategy consulting firms that shape finance transformation and technology decisions for the CFOs and CEOs we serve. These firms influence clients before a buying process begins, advise on the operating and technology decisions that define transformation programs, and can help clients move from strategy to live operational capability. Ramp has an opportunity to build relationships that create value for the firm, its clients, and Ramp, across executive engagement, thought leadership, co-sell, and shared client work. This role will own those relationships and turn them into an institutional go-to-market motion: building credibility with firm leadership, identifying the right client and practice wedges, developing firm-specific plans, leveraging Ramp’s data to amplify firms’ thought leadership, and creating repeatable paths to joint client outcomes. This is a build from the ground up. Ramp's relationships across this ecosystem are early and largely informal today, and this person will be responsible for the relationship, the partnership thesis, and the operating motion that makes a firm a meaningful Ramp partner over time. It is a broader remit than a typical partnerships role. What You'll Do - Own Ramp's relationships with a portfolio of top-tier strategy and advisory firms (e.g., McKinsey, Bain, BCG), serving as the primary relationship owner and building credibility with senior firm leadership - Turn executive introductions into structured partnerships, developing the partnership thesis, relationship map, executive sponsor plan, target practices and client wedge for each firm - Negotiate and close the first formal agreements between Ramp and these firms - Build market-facing proof points with Ramp's leadership, marketing and product teams, including executive events, thought leadership and shared client stories - Coordinate execution across Ramp, bringing the right Account Executives, Customer Success Managers, Product, AI Solutions and executive sponsors into each firm relationship - Establish and maintain the operating cadence: relationship maps, firm plans, account maps and next steps What You Need - 4+ years of experience at a leading strategy consulting firm (e.g., McKinsey, Bain, BCG) - Exceptional executive presence. You can hold a room with senior leaders, earn trust quickly, and be trusted to represent Ramp in meetings without support - Proven ability to run many work streams and complicated stakeholder management - A builder's instinct. You are energized by an empty page, comfortable without a playbook, and bring structure to ambiguity - Excellent written and verbal communication, and the judgment to calibrate between an executive conversation and a working session - Willingness to travel approximately 25% and to be based in a major metro. New York preferred BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: New York, NY (HQ); San Francisco, CA; Chicago, IL; Miami, FL Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Ramp is building institutional partnerships with the GSI (Global System Integrators), Big-Four consulting firms, and global advisory firms that shape finance transformation, ERP modernization, and technology decisions for the CFOs and finance leaders we serve. These organizations are often in the room when enterprise clients are redesigning their finance stack, selecting technology, or moving from strategy into implementation. This portfolio spans the largest global professional services firms (e.g., Deloitte) and GSIs (e.g., Infosys). They are complex organizations with distinct service lines (e.g., ERP, Tech Modernization, Finance Transformation) each with its own leadership, incentives, and economics, so earning credibility inside one is as much about navigating the firm as it is about the relationship. This role will own Ramp's relationship with that network of firms, building firm-specific go-to-market motions that can include executive engagement, account mapping, co-sell, implementation alignment, thought leadership, and events. Ramp's relationships here are early and largely informal today, so this person will be responsible for the relationship, the partnership thesis, and the operating motion that makes a firm a meaningful Ramp partner over time. What You'll Do - Own Ramp's relationships with a portfolio of the largest global professional services, GSIs, and consulting firms, serving as the primary relationship owner - Map each firm and build credibility with the partners, practice leaders, alliance teams and client-service teams who matter most - Turn executive introductions into structured partnerships, developing the partnership thesis, executive sponsor plan, target practices and client wedge for each firm - Negotiate and close the first formal agreements between Ramp and these firms - Build market-facing proof points with Ramp's leadership, marketing and product teams, including executive events, thought leadership and shared client stories - Coordinate execution across Ramp, bringing the right Account Executives, Customer Success Managers, Product, AI Solutions and executive sponsors into each firm relationship - Establish and maintain the operating cadence: relationship maps, firm plans, account maps and next steps What You Need - 6+ years of experience in consulting, alliances, partnerships or an adjacent role. Time inside a top-tier professional services or global consulting firm (e.g., McKinsey, Bain, BCG, Deloitte) is strongly preferred. - Exceptional executive presence. You can hold a room with senior leaders, earn trust quickly, and be trusted to represent Ramp in meetings without support - Fluency in how large, matrixed professional services firms actually work, including how practices are incentivized and how a technology partner earns internal endorsement - Proven ability to run many workstreams and complex stakeholder management - A builder's instinct. You are energized by an empty page, comfortable without a playbook, and bring structure to ambiguity - Excellent written and verbal communication, and the judgment to calibrate between an executive conversation and a working session - Willingness to travel approximately 25% and to be based in a major metro. New York preferred BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker's Product-Led Growth (PLG) team owns turning product usage into revenue across the full Platform: the Container business (Docker Desktop, Docker Hub, Docker Build Cloud, Docker Scout) and the AI business (Sandboxes, AI Governance, Model Runner, MCP Toolkit, MCP Catalog). Lifecycle marketing is one of the fastest-scaling parts of that team: it already owns user and admin nurtures, renewal automation, and first-touch outreach for PQLs and inbound leads, running against a marketable base in the tens of millions. As Senior Lifecycle Marketer, you'll report directly to the VP of PLG and partner closely with our existing lifecycle marketing lead. You'll take ownership of assigned products, audiences, and lifecycle stages, with real input into shaping the approach for what you own, not just shipping someone else's plan, and you'll help turn a fast-growing list of priorities into a structured, scalable lifecycle engine. _______________________________________________________________________ WHAT MAKES SOMEONE SUCCESSFUL IN THIS ROLE - Lifecycle Fluency: You think in full user journeys, not campaigns. You've done lifecycle marketing specifically, not just growth or demand gen, and you know how nurture, activation, retention, and renewal connect across a product's full lifecycle. - Builder's Mindset: You'd rather own a program end to end, strategy, build, QA, and send, than hand pieces of it off. You bring structure to ambiguity: turning a fast-growing list of priorities into themes, a build queue, and a sequenced roadmap. - Audience & Signal Validation: You know how to validate an audience and its underlying signal before it ships: spot-checking record-level data, sanity-checking targeting logic, and catching a bad segment before it reaches users. You don't need to write SQL yourself, but you can work directly with data teams to confirm a list is right. - Cross-Functional Operator: You operate well across marketing, sales (BDR and renewals), data, and design/agency partners, and you know how to keep programs moving even when you don't own every dependency. - Marketing Automation Execution: You've personally built campaigns in Marketo or an equivalent platform, not just briefed them: audience builds, suppressions and contact governance, pre-send QA and live proofs, and launch monitoring, including troubleshooting a broken data sync in the moment. - Technical Translation: You can take a technical product or a raw usage signal, a feature adoption event, a usage threshold, a new capability, and turn it into messaging that reads credible to a developer or admin, not generic marketing copy. _______________________________________________________________________ RESPONSIBILITIES - Build the Lifecycle Engine: Own and build lifecycle campaigns (email and in-product messaging) across Docker's Container and AI Platform products, including Sandboxes and AI Governance, for both end users and admins. - Scale Programmatic Sends: Design and run large-scale programmatic sends, such as recurring account health checks, to a base in the tens of millions, working within the team's marketing automation stack (currently Marketo and Mailgun; expect a platform transition in the next 6–12 months). - Automate Lead and Renewal Motions: Stand up and run automated first-touch flows for PQLs and inbound leads, in partnership with BDR and renewals stakeholders. - Validate Audiences & Signals: Partner with data and growth engineering to pull the usage signals campaigns depend on (Snowflake and internal data tools), and validate that an audience and its underlying signal are correct before every send. - Manage Suppressions & Contact Governance: Own suppression lists and contact governance rules so campaigns stay compliant and don't over-message or reach the wrong audience. - QA, Launch Monitoring & Troubleshooting: Run pre-send QA and live proofs on every campaign, monitor launches as they go out, and troubleshoot issues in real time, including broken data syncs. - Translate Signals into Messaging: Turn technical product usage and adoption signals into messaging that reads credible and useful to developers and admins, not generic marketing copy. - Shape and Sequence Strategy: Take a fast-growing list of priorities and turn it into a concrete build queue: itemize the work, sequence it, and flag capacity or dependency issues early. - Coordinate Design & Agency Partners: Work with design and agency partners to keep campaign quality and turnaround on track. - Operationalize Reporting: Own naming, tracking, and reporting on programs so the rest of the team has visibility into what's live, what's next, and what it's driving. _______________________________________________________________________ QUALIFICATIONS - Lifecycle Marketing Experience: A background specifically in lifecycle marketing, not pure growth or demand gen, ideally inside a PLG or self-serve motion. - Proven Program Ownership: A track record of owning campaigns end to end (strategy, build, QA, send) and shipping programs that moved a real metric: activation, retention, or renewal conversion. - Marketing Automation Build Experience: Hands-on build experience in Marketo or an equivalent marketing automation platform: audience builds, program/campaign setup, suppressions and contact governance, pre-send QA and live proofs, and launch monitoring. - Data & Targeting Validation: Comfortable working directly with data teams to validate record-level data and targeting logic, for example auditing who's actually in a segment or spot-checking a list against expectations. Writing SQL yourself is a plus, not a requirement. - Technical-to-Message Translation: A track record of turning a technical product or a raw usage signal into messaging that reads credible to a developer or admin audience, not generic marketing copy. - Technical Familiarity: Comfort navigating developer ecosystems, cloud infrastructure, or complex multi-product software platforms. - Independent Ownership: Senior-level judgment and ownership as an individual contributor: you can run with ambiguity and drive a program without every step spelled out, and you collaborate well with another senior peer on the team. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Immerse & Align: Get up to speed on Docker's PLG motion, product surface area (Container and AI), and the programs lifecycle already owns. Build a working relationship with data, BDR, renewals, and design/agency partners. - Program & Tooling Audit: Audit the current state of user and admin nurtures, renewal automation, and PQL/lead outreach, and get familiar with the Marketo/Mailgun stack and its upcoming transition. - Roadmap Calibration: Work with the lifecycle team to turn the current priority list into themes, a build queue, and a sequenced roadmap. FIRST 90 DAYS - Ship Owned Campaigns: Take ownership of at least one full program, such as an admin nurture flow or a PQL first-touch sequence, from build through send. - Contribute to Renewal Automation: Stand up a first version of automated renewal outreach in partnership with the renewals team. - Build the Reporting Cadence: Put in place naming, tracking, and reporting so the team has clear visibility into what's live and what it's driving. ONE YEAR OUTLOOK - Own a Mature Program Set: Own a mature, scaled set of lifecycle programs across your assigned products, audiences, and lifecycle stages. - Prove Impact: Show measurable lift in activation, retention, or renewal conversion tied directly to your programs. - Scale the Function: Help lifecycle marketing operate as a predictable, automated engine rather than a set of one-off campaigns, as scope keeps expanding across the Platform. Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$160,300– CA$229,000 base United States: $115,500 – $165,000 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE