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Location: Canada, Vancouver, BC Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are seeking a Mechanical Engineer to design and develop advanced humanoid robots. The ideal candidate will have expertise in mechanical design, system integration, and GD&T based on ASME Y14.5, along with experience in optimizing robotic systems for performance and manufacturability. WHAT YOU’LL DO - Develop components for humanoid robots (e.g., frames, actuators, joints) using CAD software, applying GD&T standards (ASME Y14.5) to ensure precision and manufacturability. - Design robotic linkages and mechanisms with a focus on efficient motion and performance optimization. - Choose materials and manufacturing methods that balance strength, weight, and cost, ensuring feasibility and reliability. - Lead the prototyping phase, utilizing tools like 3D printing and CNC machining to validate designs. - Work with electrical engineers and software developers to integrate mechanical components into robotic systems. - Ensure designs meet safety standards, conducting risk assessments and applying necessary safety features. - Perform mechanical testing to verify design performance and durability. - Produce detailed technical documentation, including drawings, specifications, and BOMs, adhering to GD&T principles. - Work closely with cross-functional teams to achieve project goals. WE’RE LOOKING FOR - Strong background in mechanical design, statics, dynamics, and material science. - Skilled in CAD tools (SolidWorks), with the ability to apply GD&T (ASME Y14.5) to designs. - Familiarity with manufacturing methods like CNC machining, 3D printing, and injection molding. - Hands-on experience building and testing prototypes. - Understanding of safety standards (e.g., ISO 10218) and risk assessment. - Strong analytical skills to tackle complex engineering challenges. - Clear verbal and written communication for effective teamwork.   WHAT WE OFFER - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support. - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.   For this role in Vancouver, the expected base salary range is $110,000 – $150,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: San Francisco ABOUT THE ROLE You’ll be the operational, detail-first finance partner embedded in REW doing the deep-dive transactional and analytical work that the team needs to run cleanly. Reporting directly to the REW Finance Manager (Talia Young), you will own PO QA and lifecycle operations, accruals and month-end support, GL drill-throughs for Budget vs Actuals (BvA) commentary, and vendor spend visualizations. You’ll partner closely with Leasing, Workplace Ops, Design & Construction, Workplace Experience, Sourcing, and P2P — and you’ll be expected to roll up your sleeves and deliver high-quality, defensible analysis and clean data. CORE RESPONSIBILITIES - PO lifecycle & ZIP power-user: Validate chart of accounts, budget availability, REW PO line descriptions, start/end dates; help manage REW POs through the PO creation/change order process in ZIP. - Accruals & month-end: Assist with month end close; Identify POs that require accruals, collect/validate accrual inputs from owners, prepare accrual backup, input/maintain accrual details in the stratfin file, and reconcile reversals when invoices arrive. - GL drill-through & BvA commentary: Perform transaction-level GL investigations to find root causes of variances, compile support, and prepare concise, stakeholder-ready variance narratives. - Vendor invoice & spend visualization: Build and maintain vendor-level dashboards and quick visualizations showing spend trends, aged liabilities, and problem areas. - Data management & actualize files: Maintain and “actualize” REW files (budget skeletons, accrual trackers, PO registers), ensure data hygiene and version control. - Budget and forecast cycle support: Enhance budget and forecast templates and automate where possible. Collect and review submissions in detail. - Technology & automation: Bring a technology-first mindset — prototype small automation/AI agent solutions to reduce manual work (e.g., PO QA checks, GL reconciliation assistants). - Partnering & follow-up: Recurring operational check-ins with stakeholders as it relates to budget/forecast updates and ensuring operations running smoothly from a financial perspective.   MUST-HAVE QUALIFICATIONS - Bachelor’s degree in Accounting, Finance, or equivalent experience. - 4-6+ years relevant experience in FP&A/ corporate finance / finance operations - Practical, hands-on accruals experience (monthly accruals, prepayments, reversals). - Demonstrated experience with PO lifecycle and PO system operations - Strong experience performing GL drill-throughs and tracing transactions to source documentation. - Advanced Google Sheets / Excel modeling skills - Excellent attention to detail and the ability to produce defensible, audit-ready work. - Strong partnership and communication skills — able to extract needed information from stakeholders and drive action. NICE-TO-HAVE - Experience with NetSuite, Workday, Oracle, or other ERPs. - Dashboarding experience (Tableau) - Prior exposure to real estate, construction, workplace operations, or global food/amenities spend. - Demonstrated experience prototyping small automations or AI agents to accelerate work. SOFT SKILLS / COMPETENCIES - Extremely detail-oriented and process disciplined. - Independent problem solver who can escalate appropriately. - Strong prioritization and time management under competing deadlines. - Curious and technology-forward — comfortable testing small automation/agent ideas. - Partnership-first: builds rapport quickly and communicates clearly with non-finance stakeholders.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma's Governance, Risk, and Compliance team is the foundation of how we build and maintain trust - with our users, regulators, business partners, and the organizations that rely on Figma every day. We work across the organization and drive programs that ensure the effectiveness of our security protections, identify and manage risk, maintain compliance, and build trust with our customers. We're looking for a Governance, Risk and Compliance Director to lead this team through its next phase of growth. You'll own Figma's security compliance, risk management, and governance strategy end to end - setting direction for our certification portfolio, building the risk and controls frameworks that scale with our growing business and product suite, and representing GRC to executives, the board, customers, and regulators. This is a hands-on leadership role where you'll manage and grow a team of GRC professionals while staying close to the programs, infrastructure, audits, and cross-functional relationships needed to both protect and enable the business. If you're a strategist and team builder who is excited to scale Figma's GRC program in a rapidly evolving environment, we'd love to hear from you! This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Set the strategy and roadmap for Figma's GRC program, aligning compliance, risk, and governance priorities with company objectives and the Security leadership team Own Figma's certification and compliance portfolio, including SOC 2, ISO 27001, FedRAMP, SOX ITGC, and GDPR, and expand coverage as Figma enters new markets and customer segments Lead and grow a team of compliance, risk, and governance professionals, setting priorities, developing talent, and building a culture of rigor and pragmatism Build and evolve enterprise risk and controls frameworks — including AI Governance, Risk and Compliance initiatives and control effectiveness monitoring — that scale across technical and business stakeholders Manage relationships with external auditors, assessors, and regulators, and oversee audit cycles from planning through remediation Direct the selection and optimization of GRC platforms and tooling, and maintain the lifecycle of security policies, standards, and procedures Partner with Sales, Legal, and Customer Trust on security questionnaires, customer audits, contracts, and trust-related communications that support the sales lifecycle Scale enterprise risk reporting and report on program health, risk posture, and audit readiness to executive and board-level audiences We'd love to hear from you if you have: 10+ years of experience in information security, compliance, or risk management, including at least 4 years leading or managing a GRC, security, or compliance team Deep, hands-on experience with frameworks such as SOC 2 and ISO 27001, including leading programs through multiple audit cycles A track record of building GRC programs from the ground up or scaling them through high-growth stages, ideally at a SaaS or platform company, including experience operating in a public company environment with SOX ITGC requirements Executive presence and exceptional written and verbal communication skills, with demonstrated ability to build cross-functional partnerships across Security, Legal, IT, Sales, and Engineering and translate technical risk into business terms for executives, the board, and customers Experience implementing compliance programs for emerging products, including AI-enabled products, with a strong understanding of cloud-based technologies and their GRC implications, and a builder's mindset comfortable with ambiguity as the program scales While it's not required, it's an added plus if you also have: Supported FedRAMP authorization, SSP development, 3PAO coordination, or continuous monitoring activities Experience with global privacy and data protection regulations, such as GDPR or NIS2 Security or risk certifications such as CISSP, CISA, CISM, or CRISC Hands-on experience implementing or administering GRC platforms such as Vanta, Drata, or similar tools Experience presenting to boards, steering committees, and audit committees At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $235,000 — $317,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Amsterdam Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products. This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you. WHAT YOU’LL DO - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience - Help define and iterate on our sales playbook - your input will help shape our go to market strategies WHAT YOU'LL BRING - 5+ years of experience selling complex software to enterprise customers - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity - Excellent communication and storytelling skills - Technical acumen with the ability to establish credibility with technical decision makers. - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry Compensation - Annual salary range: $225,000-$350,000 OTE USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: London Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE: We’re hiring a Manager - Sales Development Representatives (SDR) (London) - EMEA to lead and scale our founding EMEA SDR team at LangChain. Our SDRs play a critical role in helping companies adopt LangChain and LangSmith. They engage technical buyers, convert high inbound interest into qualified opportunities, and work closely with our sales and marketing teams to build pipeline. This role will own the performance, coaching, and development of the SDR team, while helping design the systems, processes, and workflows that power their GTM motion. You’ll partner closely with sales, marketing, and and RevOps to continuously improve how we identify and engage the right accounts. WHAT YOU'LL DO: - Lead and coach a team of SDRs responsible for generating qualified pipeline - Own SDR performance including activity metrics, conversion rates, pipeline creation, and attainment - Recruit top SDR talent and grow the team as LangChain continues to scale - Develop SDR talent through coaching, call reviews, and structured feedback - Build repeatable outbound and inbound qualification playbooks - Partner with marketing to convert inbound demand into qualified opportunities - Work with sales leadership and RevOps to align on target accounts, territories, and pipeline goals - Implement systems and workflows that improve SDR productivity and effectiveness - Use data to continuously improve performance, analyzing conversion rates across the funnel HOW TO BE SUCCESSFUL IN THIS ROLE: - Have 5+ years of experience in sales development - Have 1–3+ years managing SDRs or leading a sales development team - Are comfortable working with technical products and developer audiences - Have experience with modern GTM tooling (AI Agents, LinkedIn Sales Nav, Power Dialers, etc.) - Are highly data-driven and comfortable managing performance through metrics - Are passionate about coaching and developing early-career sales talent - Thrive in fast-moving environments where processes are still evolving - Have strong communication and organizational skills Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a member of the GTM team at Anthropic, you will be a Staff Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers and leads the technical direction of their AI adoption. Customers bring you in to lead, not only to implement: you decide what should be built, and then make sure it gets built well. You will work with customer teams to ship advanced AI applications that solve real world business problems, and guide the architecture and advisory work that surrounds those builds across an account. Working closely with our Research, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will sit at the frontier of enterprise AI deployments and help shape our forward-deployed motion as it scales. We expect Staff FDEs to set direction under ambiguity and represent Anthropic at the highest level in customer environments. In this role, you guide architecture and build initiatives across workstreams, working directly with senior technical and business stakeholders and owning outcomes that span an account's roadmap. You don't need to have shipped agents to production. You do need deep experience building and operating production systems, hands-on time with agents, and the judgment to lead architecture and advisory work with enterprise customers. Responsibilities Own technical strategy for a key account or vertical, in partnership with account and product teams. Guide technical architecture and design decisions across multiple concurrent workstreams. Lead discovery and advisory engagements independently, shaping scope and technical strategy before a build starts. Lead engagements delivered with partners, setting the architecture and the quality bar for work you don't build yourself. Review designs and unblock other FDEs on hard technical calls. Represent Anthropic to senior technical and business stakeholders, including VPs and C-level, to align on strategy and de-risk delivery. Own your engagements end to end: scope the work, sequence it, unblock it, anticipate security and procurement gates, and deliver production systems the customer can operate. Work within customer systems to build production applications and agent components with Claude, and hand over systems the customer can run. Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams. Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement. Travel frequently (25%) to customer sites to build in person with customers. Be a champion for Anthropic's mission in the field. You May Be a Good Fit If You Have Deep system design and problem decomposition skills: you can walk into a discovery conversation with only a business problem and leave with a defensible technical strategy for a secure, production-ready design inside a complex enterprise environment of legacy systems, with identity and access, and compliance requirements. Experience in a senior technical, customer facing role such as Forward Deployed Engineer, or as a Tech Lead with consulting or product experience. Former technical founders are also encouraged to apply. A track record as the person a team turns to on ambiguous technical calls, whether through architecture review, pairing, or informal mentorship. A track record of directly influencing senior technical and business stakeholders, including VP and C-level, in complex organizations. Extensive experience building and operating production systems. Hands-on experience with LLMs and agents is expected. Side projects and prototypes count. Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc), experience shipping production applications, and everyday use of AI coding tools with the judgment to review and steer. Experience leading advisory and architecture-review engagements as well as hands-on builds, and running them end to end. High agency with an ability to navigate ambiguity present in complex organizations, and the learning velocity to pick up new domains and tools fast. Passion for advancing safe, beneficial AI systems through creative technical applications. A background in financial services, healthcare/life sciences, or another enterprise vertical are nice to have. 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: $280,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM: You'll join our GTM Systems team, which owns the systems LangChain's go-to-market actually runs on — Salesforce above all: the account and contact model, territory and routing, the sales process from first touch to closed-won, and the quote-to-cash and provisioning stack behind it. We design and ship internal product for the GTM organization. AI agents do a growing share of the building: they draft design docs, open changes, and run Salesforce deployments, while humans hold the approval gates. Build capacity — engineers plus the agent bench — sits on this team, and you'll help decide what it works on next. ABOUT THE ROLE: You'll own the requirements, prioritization, and quality bar for LangChain's Salesforce-centered GTM systems, turning ambiguous revenue-team needs into shipped process and systems changes that scale. This is not a ticket queue role. You'll be accountable for a small number of high-leverage GTM systems programs at a time: defining the problem, aligning stakeholders, specifying the solution, and ensuring what ships changes how the revenue org operates. You'll work across Sales, Marketing, Partnerships, Support, and Finance in a fast-changing environment where priorities move quickly and influence matters more than reporting lines. The core challenge is operating with authority but not control: aligning teams around tradeoffs as the business changes underneath the plan. You won't be expected to write production code. You will be expected to write clear enough specifications that engineers and AI coding agents can build from them, and to review the output with enough Salesforce and systems judgment to decide whether it is correct. Location: San Francisco Bay Area — in office 4 days a week. The people whose processes you're redesigning are in this building, and so are the engineers who build LangGraph. WHAT YOU'LL OWN: Carry multi-quarter programs - Own the Salesforce sales process from lead to close — routing, qualification, territory assignment, and stage progression — driving each initiative from discovery through UAT, change management, and adoption. - Be the person stakeholders come to before they file a request, especially when the system was never designed for what the business now needs. - Own the intake and prioritization model for hundreds of quarterly GTM systems requests, ensuring the team works on the highest-leverage business problems rather than the loudest tickets. Own what gets specified and what ships - Run discovery and turn ambiguous asks into BRDs, process flows, data models, and acceptance criteria — with a clear problem statement and ROI justification, precise enough to execute without a second conversation. - Hold the quality gate: you write the specification, engineers and coding agents write the code, and nothing reaches production without your sign-off. - Run vendor evaluations when the right answer is buy, integrate, or replace rather than build. Protect revenue data integrity - Trace anomalies in revenue fields — Net ARR, initial pipeline, lead source — back to the automation, trigger, or integration that wrote them. - Own the reconciliation seam between Salesforce, usage-based billing, and cloud-marketplace transactions. - Identify which design decisions are load-bearing and which are cosmetic, and catch the downstream failure modes before they reach production. WHAT SUCCESS LOOKS LIKE: In your first 6–12 months, you might: - Redesign the lead-to-opportunity process so routing, qualification, and stage progression are measurable, enforceable, and adopted by the field. - Create a prioritization model for hundreds of GTM systems requests per quarter, with clear tradeoffs and business rationale. - Ship a Salesforce change that improves pipeline hygiene, quote-to-cash accuracy, provisioning reliability, or cloud marketplace reconciliation. - Establish a specification and UAT standard that engineers and AI agents can reliably build against. - Build enough trust with Sales, Marketing, Partnerships, Support, and Finance that stakeholders bring you the problem before they prescribe the solution. WHAT YOU'LL NEED TO BE SUCCESSFUL: SYSTEMS AND DOMAIN DEPTH - Domain and tenure — 6–8 years in business systems, sales systems, revenue systems, or GTM systems, with Salesforce as your primary platform throughout. - Sales process depth — you've partnered with Sales Ops on the things reps feel every day: territory and account coverage, lead qualification and routing, stage gates, and pipeline and forecast hygiene. - Sales systems / RevOps depth — experience across quote-to-cash, CPQ, territory and lead routing, forecasting, or adjacent revenue processes. - Technical fluency — you can read a data model, a Flow, and enough Apex to design against what's really there, even though you are not expected to write production code. PROGRAM LEADERSHIP - Program ownership — you've been the single accountable owner, at the working level negotiating the commitments yourself, of a program that spanned four or more functions and changed how a revenue org works day to day. - Release risk — you've delivered a program into a core system on a release process you didn't control, where another team's change could break your release. - Re-scoping under change — you've re-scoped a program mid-flight because the business changed under it, a sponsor moved, or the original scope no longer matched reality. - Holding the line — you've turned down a request with executive backing and kept the relationship; you hold the line when something breaks pricing discipline, a legal constraint, or the architecture, and you arrive with the alternative. JUDGMENT AND COMMUNICATION - One tradeoff, two audiences — you write for the reader in front of you, not the one you find easiest: the VP gets the page, the engineer gets the spec. - Maximum agency — you find the friction and start the project. You don't wait for a ticket. - AI judgment — you give an agent the same brief you'd give a new engineer, and you check its work the same way. - Architecture judgment — you know which design calls are load-bearing and which are cosmetic: why a usage event belongs on its own object rather than a field on Account, and how you'd catch that renaming one picklist breaks the provisioning saga before anyone deploys it. STRONG SIGNALS: None of these is a screen; any one makes you useful faster. - You've owned a core Salesforce object domain — Account, Contact, Lead, or Opportunity — through a full redesign. - You've traced a Salesforce field into a usage record into a provisioning step, and seen what broke downstream when it moved. - You've worked with cloud marketplace operations — AWS or GCP private offers, co-sell, entitlement mapping, metering, and the failure modes when they break. - You've worked with usage-based billing systems such as Metronome, Orb, or similar, and CRM↔billing identity reconciliation. - You have LangChain or LangGraph experience, or you're excited to learn it here from the people who build it. Annual salary range: $180-200k USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: San Francisco, CA; Boston, MA; New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We're looking for a Fullstack Engineer to work on LangSmith, our commercial AI observability and evals platform product. In this role, you'll have the opportunity to build new features and functionality for the platform while working close enterprise customers, developer end-users and internal stakeholders. WHAT YOU WILL DO - Develop and implement key product features working across our entire Go, Python, and Typescript stack - Collaborate closely with product and design teams to iterate on new features and enhance the product roadmap - Drive aggressive project timelines while ensuring high engineering standards are being met by writing clean, maintainable, and well-tested code HOW TO BE SUCCESSFUL IN THIS ROLE - 2+ years of experience in software engineering working on complex platform products - Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend - Solid understanding of database systems, particularly Postgres and Redis - Experience designing and scaling APIs, preferably in high-performance, data-intensive applications - Strong ownership and a “get stuff done” mindset - comfortable shipping fast and iterating based on user feedback - Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers - Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms Compensation Annual salary range: $145,000-180,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Order Management sits at the center of how Figma turns contracts into revenue — every deal our Sales team closes passes through this team before it's invoiced. As part of the Revenue Operations team within Accounting, we own order form review, invoicing, and billing support for Sales and Support for a global customer base. As Figma grows, we're building the order-to-cash process for what comes next, and this role is a builder's seat: you'll take on our most complex orders while helping shape how orders get processed, reviewed, and automated as we scale. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Own the order process end to end — from contract review and order entry through to invoicing — processing orders accurately and within SLA, including our most complex work with validation for completeness, accuracy and policy compliance Serve as a go-to resource for Sales and Support on billing and invoicing questions, and partner with cross functional partners to investigate discrepancies and booking blockers across systems — following up to conclusion Detail-review routine orders processed by other analysts and our BPO partners, identifying error patterns and driving them to resolution Play a key role in UAT for new products, SKUs, pricing models, and billing system releases — writing and executing test scripts, running end-to-end tests from order through billing, documenting bugs clearly, and working with cross functional partners to resolve Support month-end and quarter-end close, including reconciliations, accruals, and data integrity across systems, while maintaining SOX controls, audit documentation, and the SOPs and test cases your areas run on Take ownership of ad-hoc projects related to process improvement, system upgrades, or controls enhancements across the order-to-cash lifecycle We'd love to hear from you if you have: 3+ years of experience in order management, order-to-cash, billing operations, or revenue operations at a SaaS company Hands-on experience with Salesforce (RLM or CPQ), an ERP such as NetSuite, and a payment processor such as Stripe Clear understanding of how order entry decisions flow downstream into billing and revenue Advanced Excel and Google Sheets skills — pivots, XLOOKUP, reconciling large datasets across systems — and comfort with data query tools Exceptional attention to detail and a track record of producing quality work under quarter-end pressure, with excellent written and verbal communication across finance and non-finance audiences At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. For non-exempt employees, PTO is accrued at a rate equivalent to 15 days per year for full‑time employees. Accrued PTO may be used for vacation or personal time, subject to company policy and manager approval. In addition, the company provides 10 paid sick days annually for non-exempt full-time employees. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Hourly Base Pay Range: $50.50 — $73.60 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

What You'll Do Design the experience, not just the screens. Build intuitive user flows, information architecture, and interaction logic for complex, multi-step workflows.

Location: San Francisco, CA; Seattle, WA 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. _______________________________________________________________________ Docker is looking for a Senior Software Engineer to build AI-powered developer tools and the platform behind them on our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building tools that make Docker's engineers more productive and the platform that lets teams across Docker prototype, deploy, and scale their own AI developer tools. As a Senior Engineer you will design, build, and operate: AI-Powered Developer Tools. AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents. Self-Service AI Developer Tools Platform. Platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools, using the patterns and standards the team sets. You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal and Staff engineers, product engineering teams, and platform teams across Docker. WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE You are a strong, hands-on engineer who enjoys building at the intersection of AI, developer experience, and platform engineering. You have built software on top of LLMs and AI agents and have a good sense of what works in practice. You care about the people using your tools, and you can tell a tool developers love from one they put up with. You take a feature from a vague request to production: you ask the right questions about requirements, design it sensibly, ship it iteratively, and operate it afterward. You are comfortable in a fast-moving AI landscape and balance quality with pragmatism. You make the engineers around you better through thoughtful code review and by sharing what you learn. RESPONSIBILITIES Building and Operating AI Developer Tools - Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation - Integrate LLM providers, agent orchestration frameworks, and MCP servers into reliable tools, following the team's patterns and standards - Build systems that help Docker's engineers adopt AI-native development tools - Build integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems - Instrument your tools so the team can measure adoption, effectiveness, and developer satisfaction Self-Service Platform - Build and improve platform capabilities, including deployment pipelines (ArgoCD/GitOps), observability integration (Grafana), security controls, and cost management, that help teams ship their own AI tools faster - Help reduce time-to-production for new products from weeks to days - Contribute to reliability, security, and performance standards for AI systems, including SLOs, monitoring, and incident response Design and Delivery - Take features and services from requirements to production. Ask about scale, users, and constraints before designing, and write down your assumptions - Write clear design documents for the work you own, and participate in design reviews for the team - Review code thoroughly and share what you learn with the rest of the team - Take part in the team's on-call rotation, and help improve alerts, runbooks, and tooling so the next incident is easier - Follow the AI-assisted engineering practices the team sets: use AI tools critically, validate their output, and stay accountable for what you ship Collaboration and Growth - Work with the Senior Manager and the team's Principal and Staff engineers to understand priorities and shape your work - Partner with Infrastructure, Security, and Data teams on integrations and shared standards - Help newer engineers get up to speed on the team's tools, patterns, and practices - Keep up with emerging AI/LLM technologies and agent frameworks, and bring useful findings back to the team QUALIFICATIONS REQUIRED - 6+ years of software engineering experience building and operating production systems - Hands-on experience building LLM-powered applications, AI agents, or AI-assisted developer tools - Working knowledge of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows - Experience building and operating scalable backend services, distributed systems, or developer-facing platforms - Experience with cloud-native infrastructure, including Kubernetes, CI/CD pipelines, and observability systems - Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals - Experience building developer tools, platform systems, or internal tools that other engineers rely on - Good product judgment: you weigh developer experience and technical trade-offs, and you ask clarifying questions before committing to a design - Clear written and spoken communication suited to a remote, async-first company - Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments - Comfortable working autonomously in a distributed, remote-first team - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience PREFERRED - Experience with MCP (Model Context Protocol) or similar AI agent integration standards - Background in developer productivity, DevOps, SRE, or platform engineering - Contributions to open source AI tools, developer tooling, or platform engineering projects - Experience with GitOps deployment patterns (ArgoCD) or Grafana-based observability - Familiarity with security and operational practices for production AI systems - Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure) WHAT TO EXPECT FIRST 30 DAYS - Learn Docker's current AI and developer tooling landscape, the team's services, and the architecture decisions made so far - Meet your teammates, including the Principal and Staff engineers, the Senior Manager, and key stakeholders in product engineering - Ship a useful production change in your first weeks, using the team's AI-assisted engineering workflow - Review existing AI tool prototypes and internal experiments to learn what is working and what is not - Shadow on-call and learn the operational profile of the team's services FIRST 90 DAYS - Own a feature or service from design to production with measurable impact, such as part of an AI code review agent, a deployment diagnostic agent, or an on-call assistant - Write the design document for work you own and take part in team design reviews - Contribute to the self-service platform's deployment pipeline, observability integration, or security controls - Take part in the on-call rotation FIRST YEAR OUTLOOK - Be a go-to engineer for one or more of the team's AI tools or platform components - Have shipped multiple production improvements that Docker engineers use every day, with adoption and effectiveness you can point to - Have helped teams outside AI Developer Tools build and run their own tools on the platform - Have taken on larger and more ambiguous work as your scope grows, and helped newer engineers do the same Docker considers visa sponsorship on a case-by-case basis based on business needs.   Compensation & Equity United States: $160,900 – $260,700 + equity ______________________________________________________________________ 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

Location: San Francisco, CA; Seattle, WA 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. _______________________________________________________________________ Docker is looking for a Staff Software Engineer to set the technical direction for key parts of our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building the AI-powered tools and the platform that let teams across Docker prototype, deploy, and scale their own AI developer tools. As a Staff Engineer you will own the technical design and delivery for two areas: AI-Powered Developer Tools. Design and build AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents. Self-Service AI Developer Tools Platform. Design and build the platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools. You will set the patterns and standards that let teams experiment, iterate quickly, and graduate successful prototypes into production-ready services. You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal engineers, engineering leadership, product engineering teams, and platform teams across Docker. WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE You are a hands-on technical leader who works well at the intersection of AI, developer experience, and platform engineering. You have shipped production systems built on LLMs and AI agents, and you can explain what worked and what did not. You think in platforms: you design something once so that several teams can move faster. You have clear opinions about what makes a developer tool good, and sound judgment about when to build, when to integrate, and when not to do either. You are comfortable in a fast-moving AI landscape and balance technical quality with shipping iteratively. Before you design, you ask about scale, users, and constraints rather than assuming them. You lead through influence and mentorship, and the engineers around you get better because you are on the team. RESPONSIBILITIES Technical Leadership and Architecture - Set technical direction and own the architecture for AI-powered developer tools and the self-service platform within the team's roadmap - Turn ambiguous problems into clear requirements, plans, and staged decisions. Ask about scale, users, and constraints before designing, and write down your assumptions - Establish patterns, standards, and best practices for LLM integration, agent development, and production AI systems that the team and partner teams adopt - Shape platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools - Design reliable, scalable infrastructure for hosting AI agents and developer tools - Recommend AI technology choices, LLM provider strategies, and agent orchestration approaches, and make the trade-offs explicit - Work with the Senior Manager and the team's Principal engineers to align technical decisions with business goals Systems Design and Implementation - Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation - Build self-service platform capabilities that reduce time-to-production for new AI tools from weeks to days - Build systems that speed up adoption of AI-native development tools (Claude Code, Codex) across Docker's engineering organization - Set and meet reliability, security, and performance standards for AI systems, including SLOs, monitoring, incident response, and cost management - Design integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems - Take part in the team's on-call rotation and use what you learn to improve alerts, runbooks, and tooling Strategic Impact and Innovation - Evaluate emerging AI/LLM technologies, developer tooling trends, and agent frameworks, and recommend what Docker should adopt and what it should not build - Define how we measure AI tool effectiveness, including adoption, productivity gains, and developer satisfaction - Improve AI tool performance, cost efficiency, and developer experience through architectural improvements - Contribute to the technical approach for hardening proven internal tools so other teams across Docker can adopt them - Lead cross-team technical delivery, surface risks early, and work with Infrastructure, Security, and Data on shared standards Leadership and Mentorship - Mentor senior engineers on AI/LLM integration patterns, agent development, and platform engineering practices - Lead design reviews and raise the quality of design and code reviews across the team - Create reusable patterns, documentation, and architectural decision records (ADRs) that other engineers build on - Help the team turn good individual AI-assisted engineering practice into shared workflows and controls - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. QUALIFICATIONS REQUIRED - 8+ years of software engineering experience, with demonstrated technical leadership on production systems at scale - Hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools - Strong understanding of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows - Track record of designing and building scalable distributed systems and developer-facing platforms - Production experience with cloud-native infrastructure, including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines - Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals - Experience designing developer tools, platform systems, or internal tools that other teams rely on - Track record of clarifying requirements and constraints with stakeholders before committing to a design - Track record of leading complex initiatives that crossed team boundaries, and of influencing without direct authority - Strong product and platform judgment: you weigh business outcomes, developer experience, and technical trade-offs - Clear written and spoken communication suited to a remote, async-first company - Track record of mentoring other experienced engineers - Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience PREFERRED - Experience with MCP (Model Context Protocol) or similar AI agent integration standards - Background in developer productivity, DevOps, SRE, or platform engineering - Contributions to open source AI tools, developer tooling, or platform engineering projects - Experience evolving an internal platform or tool into a widely adopted, production-grade service - Knowledge of security, compliance, and operational practices for production AI systems - Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure) WHAT TO EXPECT FIRST 30 DAYS - Build context on Docker's current AI and developer tooling landscape, including existing AI experiments, LLM provider relationships, and architecture decisions to date - Meet the Senior Manager, the team's Principal engineers, engineering leadership, and key stakeholders in product engineering to understand needs, pain points, and constraints - Review existing AI tool prototypes and internal experiments to learn what is working and what is not - Get hands-on with the team's services and ship a useful production change - Shadow on-call and learn the operational profile of the team's services - Work with the Senior Manager to agree on initial technical priorities FIRST 90 DAYS - Lead the technical framing and delivery plan for one significant problem, from requirements through to production - Document the architecture, technology choices, and integration patterns for that work, including ADRs - Ship a production AI developer tool that sets patterns the team can reuse (for example an AI-powered code review agent, a deployment diagnostic agent, or an on-call assistant) - Contribute to the technical foundations of the self-service platform: deployment pipeline, observability integration, security controls, and cost management - Lead design reviews for your area of the roadmap and begin mentoring other engineers - Take part in the on-call rotation FIRST YEAR OUTLOOK - Be the trusted technical lead for your area of AI Developer Tools, and a sought-after partner for teams across Docker - Deliver at least one material outcome that spans multiple teams or systems - Have multiple production AI tools demonstrating value across Docker's engineering organization - Help build a self-service platform that lets multiple teams build, deploy, and operate their own AI tools with little friction - Define and instrument how the team measures AI tool adoption, effectiveness, and developer productivity impact - Grow other senior engineers into broader ownership, and reduce the number of decisions that depend on a small set of people Docker considers sponsorship on a case-by-case basis based on business needs.   Compensation & Equity United States: $170,350 – $275,550 + equity ______________________________________________________________________ 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

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Senior Mechanical Engineer (Manufacturing Test) to develop the mechanical test fixtures and systems that enable reliable, scalable testing of WHOOP products throughout product development and mass production. You will drive fixture development from early concepts through production deployment, co-developing solutions with our contract manufacturing partners and translating test requirements into robust mechanical designs. Working across Hardware Test, Manufacturing, Electrical, Firmware, and Quality Engineering, you'll provide the technical direction and engineering judgment needed to deliver production-ready fixture solutions. RESPONSIBILITIES - Drive mechanical fixture development for complex manufacturing test applications from early concept through validation, production deployment, and sustaining, partnering closely with contract manufacturers on design and execution - Translate test and product requirements into robust fixture designs, making appropriate tradeoffs between performance, repeatability, complexity, cost, cycle time, and maintainability - Design fixtures directly where appropriate and provide technical direction and design review for solutions co-developed with manufacturing partners - Apply strong mechanical engineering principles including tolerance analysis, GD&T, material selection, datum strategy, alignment, DFM, and manufacturing process selection to review and validate fixture designs - Collaborate with contract manufacturers throughout design, sourcing, fabrication, qualification, and production readiness, including on-site support during NPI and product builds - Lead fixture debugging and root-cause investigations, using structured problem solving and data to resolve issues related to tolerance, alignment, wear, loading, repeatability, and fixture performance - Ensure production-ready CAD, drawings, BOMs, assembly instructions, and fixture specifications are accurately maintained through established PLM and change-control processes - Collaborate across engineering teams to define fixture requirements and drive improvements to fixture design, qualification, maintenance, and development practices QUALIFICATIONS - Bachelor's degree in Mechanical Engineering, Mechatronics, or a related technical discipline - 5+ years of experience designing complex mechanical systems, fixtures, automation equipment, or similar hardware for manufacturing or production environments - Strong mechanical design fundamentals including tolerance analysis, GD&T, material selection, manufacturing processes, fastening methods, and DFM - Advanced proficiency with 3D CAD and engineering drawings; SolidWorks experience is strongly preferred - Experience developing mechanical fixtures or equipment from requirements through prototype, validation, release, and production support - Experience co-developing mechanical systems with contract manufacturers, suppliers, or external engineering partners, including technical direction and design review - Experience creating and maintaining production engineering documentation, revision control, and PLM systems such as Arena - Strong mechanical debugging and root-cause analysis skills, with experience using data to characterize and improve fixture performance - Working knowledge of electrical systems, wiring, instrumentation, and PCBAs sufficient to integrate and debug electromechanical test fixtures - Experience using manufacturing data and statistical methods to evaluate repeatability, variation, and fixture capability; familiarity with SPC is preferred - Strong project ownership, communication, and cross-functional collaboration skills, with the ability to independently drive complex fixture-development projects - Familiarity with Python or other scripting languages for engineering analysis, automation, or debugging is a plus - 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 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 $150,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: California Workplace: onsite Role Overview   We are looking for a Hardware Lab Technician to own the physical side of a large-scale robot data collection operation. You’ll keep the fleet running, build what’s next, and be the person the lab calls when something stops working. This is a hands-on role across research and low-volume production where embodiments, grippers, and camera rigs change fast—and the hardware has to keep up. Day-to-day teleoperation is handled by a dedicated operator team you support; you maintain what they run on and help ensure data quality through reliable, well-calibrated hardware.   Project Details Location: 100% Onsite (Santa Clara, CA, US) Employment: Full-time W-2 Shifts: Monday–Friday, 7AM - 3:30PM or 9AM - 5:30PM  Start Date: ASAP Contract Duration: 12-month contract with possibility of extension Rate: $40 per /hour What You’ll Do Build, wire, and bring up data collection stations — robot arms, multi-camera rigs, workstations, teleoperation hardware, and cable management that survives daily operator use. Keep the fleet running: daily checks, preventive maintenance, calibration routines, and diagnosing faults on arms, hands, and sensors. Swap and integrate end-effectors and grippers, dexterous hands, force/torque and tactile sensors, and RGB-D cameras. Run calibration and firmware procedures across the fleet, and catch drift before it reaches the data. Assemble and iterate prototype hardware coming out of our mechanical and electrical engineers — printed parts, off-the-shelf components, vendor-fabricated parts, and custom harnesses. Soldering, crimping, connectorization, harness building, and PCB rework support at the bench. Own the lab's physical state: spares and consumables inventory, parts kitting, bench and tool organization, and shipping, returns, and RMAs with vendors. Support teleoperators on hardware issues during live collection — triage fast, fix or escalate, and get the station back up. Document what you do. Build sheets, maintenance logs, calibration records, and hardware SOPs the next technician can follow. Help bring up new embodiments and new stations alongside engineers and researchers. What we need to see 3+ years hands-on technician experience in a lab, prototyping, or low-volume build environment — robotics, medical devices, aerospace, semiconductor equipment, or similar. AS in a technical field, a relevant trade or technical certificate, or equivalent hands-on experience. Mechanical assembly fundamentals: fasteners and torque, bearings, belts, linkages, and the ability to read CAD and mechanical drawings (Onshape, SolidWorks, or similar). Electrical hands: soldering including basic SMD rework, crimping and connectorization, harness building, and confident use of a multimeter and oscilloscope. Comfortable in Linux at the command line — SSH into a workstation, run a calibration script, read a log, and tell us what it said. Experience with motors, encoders, and sensor integration, and an understanding of what a bad ground or a marginal cable does to a data stream. Methodical and self-documenting. An undocumented fix is a future outage. Comfortable with ambiguity and frequent change, and able to prioritize when more than one lab needs you at the same time. Able to work on-site in Santa Clara, with flexibility on shift coverage as the labs run extended hours. Ways to stand out from the crowd Humanoid or bimanual platforms (Unitree, Fourier, ALOHA/ARX-class rigs) and dexterous hands. Maintenance and calibration on collaborative or industrial arms — UR, Franka, xArm, ARX, or equivalent. Multi-camera rig build and calibration; RealSense, ZED, or Orbbec-class depth cameras. Running and maintaining FDM or SLA printers, and designing your own simple fixtures and adapters. Light scripting in Python or bash to automate a repetitive bench or calibration task. Experience in a high-throughput lab or production line where uptime or yield was a number someone tracked. Vendor-facing experience: RMAs, lead times, and spares planning. Job reference: #L1-CC1 Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring an Electromechanical Engineer (Manufacturing Test) to develop the electrical fixtures and systems that enable reliable, scalable testing of WHOOP products throughout product development and mass production. You will develop board-level and assembly-level test fixtures, fixture wiring, and electrical interfaces that connect WHOOP products with automated test equipment and instrumentation. Working closely with Hardware Test, Mechanical, Electrical, Firmware, and Manufacturing Engineering teams and our contract manufacturing partners, you'll help deliver robust production test solutions. RESPONSIBILITIES - Develop electrical and electromechanical fixtures for manufacturing test applications, from early engineering prototypes through mass-production solutions - Develop board-level test fixtures and interfaces for PCBAs, including pogo-pin and bed-of-nails systems, test-point interfaces, interconnects, signal routing, power delivery, and integration with automated test equipment - Define requirements for fixture electronics and interface hardware, and review designs developed by internal and external partners for compatibility with product and test requirements - Design and document fixture electrical systems including wiring, harnesses, connectors, signal routing, instrumentation, and assembly-level electrical interfaces - Collaborate with Hardware Test, Electrical, and Mechanical Engineering to develop reliable fixture solutions considering signal integrity, measurement quality, repeatability, robustness, serviceability, and cost - Partner with contract manufacturers throughout fixture development, including design reviews, sourcing, fabrication, assembly, qualification, and production deployment - Build, bring up, and debug electrical fixtures using schematics, instrumentation, software tools, and structured root-cause analysis; support fixture qualification and production troubleshooting - Create and maintain accurate wiring diagrams, BOMs, assembly instructions, and other production documentation through established PLM and change-control processes - Own scoped fixture-development projects or workstreams within larger product programs, communicating progress and identifying technical risks and dependencies QUALIFICATIONS - Bachelor's degree in Electrical Engineering, Electromechanical Engineering, Mechatronics, or a related technical discipline - 2+ years of experience developing electrical test fixtures, automated test equipment, electronics, automation systems, or similar electromechanical hardware - Strong electrical fundamentals including circuit analysis, power distribution, grounding, signal integrity, and common analog and digital interfaces - Experience developing, integrating, or debugging board-level test solutions; experience with pogo-pin, bed-of-nails, ICT, functional test, or other PCBA test systems is preferred but not required - Experience defining fixture-electronics requirements and reviewing schematics and PCBAs for integration with test equipment and DUTs - Experience designing and debugging wiring, harnesses, connectors, and electrical interfaces for test or automation equipment - Hands-on experience with laboratory instrumentation such as digital multimeters, oscilloscopes, power supplies, electronic loads, and data-acquisition equipment - Familiarity with communication protocols such as UART, I²C, SPI, USB, or similar hardware interfaces - Understanding of basic metrology concepts including measurement accuracy, repeatability, calibration, and common sources of measurement error - Ability to navigate and review mechanical CAD and drawings for electromechanical integration; CAD design experience is a plus - Experience with manufacturing environments, engineering documentation/change control, or contract manufacturers is preferred - Familiarity with Python or other scripting languages for hardware automation, bring-up, data collection, or debugging is a plus - Strong analytical, troubleshooting, communication, and cross-functional collaboration skills. - 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 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 $150,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: United Kingdom; Brazil; Ireland; Peru; Costa Rica; Latvia; Argentina; Romania; Cyprus; Portugal; Slovenia; South Africa; Czech Republic; Panama; Estonia; Canada; Hungary; Mexico; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The AI Infrastructure team builds and operates the production systems that power intelligent agents at scale. This team sits at the foundation of the agent platform, ensuring that model inference, orchestration, and execution layers are reliable, observable, and performant under real-world load. Working closely with the Agent Systems team and broader infrastructure partners, this group owns the core primitives that enable agents to safely operate across internal systems. The environment is high-scale and high-stakes — systems serve millions of users and must meet strict reliability, latency, and correctness standards. This is a deeply production-oriented team. Engineers here combine strong systems thinking with applied ML infrastructure experience, building in Rust and operating services where performance and failure modes matter.   THE OPPORTUNITY - Design and build the infrastructure layer powering AI agent systems in production - Develop high-performance Rust services that handle model inference, orchestration, and execution - Architect scalable systems capable of supporting millions of users and high request throughput - Build reliable ML infrastructure and MLOps patterns for model deployment, evaluation, and monitoring - Define guardrails, observability, and failure handling for agent-driven workflows - Optimize latency, throughput, and cost across inference and orchestration layers - Partner closely with the Agent Systems team to translate experimental prototypes into hardened production systems - Contribute to foundational infrastructure decisions in a high-scale, high-impact environment   WHAT YOU BRING - 5+ years of experience building and operating high-scale production systems - Strong proficiency in Rust and systems-level programming - Deep understanding of distributed systems, reliability engineering, and performance optimization - Experience operating services serving millions of users or high-throughput workloads - Familiarity with ML infrastructure, model serving, or MLOps in production environments - Experience designing observability, monitoring, and failure recovery systems - Strong collaboration skills working across infrastructure and applied engineering teams - High ownership mindset in high-stakes production environment   NICE TO HAVES - Experience building infrastructure for agent-based or LLM-powered systems - Background in high-performance networking, async systems, or low-latency architectures - Experience with container orchestration and cloud-native infrastructure - Familiarity with evaluation frameworks and model performance monitoring at scale - Experience working in fast-moving 0→1 or platform-building teams Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Buenos Aires, Argentina; Medellín, Colombia; Bangalore, India; Guadalajara, Mexico; Lahore, Pakistan Workplace: fully We are looking for an experienced and innovative Product Manager to join our dynamic team. In this role, you will lead cross-functional teams to refine and execute the product strategy and roadmap, ensuring that our products meet customer needs and business goals. You will be at the forefront of product development, collaborating with stakeholders across engineering, marketing, and design to deliver exceptional user experiences. Key Responsibilities Product Strategy and Vision: Define and communicate the product vision and strategy to internal teams and stakeholders. Market Research and Analysis: Conduct thorough market research, competitive analysis, and user feedback to inform product decisions and identify opportunities for innovation. Roadmap Development: Develop and prioritize a product roadmap that aligns with business objectives and user needs, ensuring timely delivery of features. Cross-functional Collaboration: Work closely with engineering, design, and marketing teams to translate product strategy into detailed requirements and prototypes. Customer Engagement: Engage with customers to gather insights, validate product direction, and ensure alignment with their needs and expectations. Performance Monitoring: Define and track key performance indicators (KPIs) to measure the success of product initiatives and make informed decisions. Product Lifecycle Management: Oversee the product lifecycle from conception to launch and iterative enhancements, ensuring continuous improvement. Required Skills and Qualifications Proven experience as a Product Manager with a strong understanding of product management principles. Solid experience in developing product strategies and managing product roadmaps. Strong analytical and problem-solving skills, with a data-driven decision-making approach. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. Strong organizational skills and attention to detail. Ability to manage multiple projects simultaneously and meet deadlines. Experience with Agile methodologies and tools is a plus. Preferred Skills and Experience Experience in a technology company or in the development of digital products. Familiarity with user experience (UX) principles and practices. Knowledge of product analytics tools and techniques. Experience with product lifecycle management tools. Why Join Us? Opportunity to work in a fast-paced, innovative environment with a passionate team. Flexibility to work remotely Opportunities for professional development and career growth. A supportive work culture that values creativity, inclusivity, and work-life balance.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada. The Opportunity: We build Tempo , the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack. 2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants). Over the next year, you will help us: Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes. Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction. Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on. Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors. Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations. What You’ll Be Doing: As a Senior Engineer on Tempo, you will own technical direction on the hardest problems in our roadmap and raise the bar across the team. Deliver significant technical projects. Take well-scoped, multi-month initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements. Partner with Staff engineers and the tech lead on broader, cross-team direction. Own major components of Tempo. Contribute to and own parts of ingestion, storage, query, and metrics generation. Write and present design docs, participate in design reviews, make sound trade-offs on performance, cost, and complexity, and document the “why” for the team. Build APIs for humans and agents. Help shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably. Contribute to operational excellence. Own outcomes for the areas you build against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB), and help move the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts. Collaborate with Product and sibling teams. Work with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them. Mentor and support engineers. Raise the bar through thorough code review, constructive design feedback, and pairing, especially with junior and mid-level engineers. Participate in on-call for the services you help build, and contribute to incident response and post-incident learning. Contribute to open source. Tempo is OSS. You will engage the community, review external contributions, and contribute to the project in the open. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. Example problems you could work on These are the kinds of projects landing in 2026: Trace aggregation and higher-density APIs: extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant. Autoscaling end-to-end: customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down. Agent-scale ingestion and query: guardrails for bursty, high-cardinality, agent-generated workloads. Query performance: new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges. Rollouts and multi-cell operations: parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise. Limits and self-service: drive customer-facing configuration and observability so escalations trend toward zero. What Makes You a Great Fit: Technical ownership. A track record of delivering complex, multi-month projects that spanned design, delivery, and operations, and of helping the teammates around you grow. Solid systems experience. Significant hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar. Strong software craftsmanship. You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship. Strong Go, or a path to it. We write Tempo in Go. Solid experience in other systems languages (Rust, C, C++) translates well. Operational mindset. You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore. Customer focus and pragmatism. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. Collaboration and clear writing. You contribute through design docs, reviews, and shipped code, and you communicate clearly in a fully remote, asynchronous environment. Bonus Points For: Experience with tracing, OpenTelemetry, or large-scale observability systems. Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents). Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads. Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes. Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses. Open-source contribution or maintainership, and comfort engaging a community in the open. Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. How we work We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our senior engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. In US, the OTE (On-Target Earnings)/Base compensation range for this role is USD $154,445 - $185.334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .