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Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Marketplace and App Experience domain is the main pillar of our core consumer strategy, driving the user journey across all of our frontend surfaces: Mobile and Web. The teams span across multiple products and areas to engage and provide value to our customers, starting with the Home hub in the app or website, which expands into the various product offers and journeys a user can embark on with Affirm. This role will be at the forefront of our front-end facing cross-team projects, working closely with other teams and engineers across our mobile and web technologies, while also evolving and collaborating with every product experience team at Affirm. What You'll Do · With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. · You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. · You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. · You will contribute to a sense of community on your team by engaging in growth and development activities such as participation in the interview process. What We Look For · You have a total of 1.5+ years of experience as a software engineer. · You have experience shipping web apps using declarative UI frameworks like React or Vue · You have experience shipping mobile apps using native or cross-platform languages like React Native · You have experience designing, developing and launching APIs at scale using languages like Kotlin or Python. · You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. · You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. · Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. · You have strong verbal and written communication skills that support effective collaboration with our global engineering team. · This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Base Pay Grade - L Equity Grade - 5 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: CAD $133,000 - $183,000 Location - Remote Canada This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Marketplace and App Experience domain is the main pillar of our core consumer strategy, driving the user journey across all of our frontend surfaces: Mobile and Web. The teams span across multiple products and areas to engage and provide value to our customers, starting with the Home hub in the app or website, which expands into the various product offers and journeys a user can embark on with Affirm. This role will be at the forefront of our front-end facing cross-team projects, working closely with other teams and engineers across our mobile and web technologies, while also evolving and collaborating with every product experience team at Affirm. What You'll Do · With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. · You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. · You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. · You will contribute to a sense of community on your team by engaging in growth and development activities such as participation in the interview process. What We Look For · You have a total of 1.5+ years of experience as a software engineer. · You have experience shipping web apps using declarative UI frameworks like React or Vue · You have experience shipping mobile apps using native or cross-platform languages like React Native · You have experience designing, developing and launching APIs at scale using languages like Kotlin or Python. · You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. · You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. · Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. · You have strong verbal and written communication skills that support effective collaboration with our global engineering team. · This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Base Pay Grade - L Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $165,000 - $225,000 USA base pay range (all other U.S. states) per year: $146,000 - $206,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE As a Technical Program Manager at Humanoid, you will own the planning and execution of complex robotics development programs, ensuring predictable delivery of our next-generation humanoid systems. You will lead cross-functional development across hardware and software, coordinating efforts across Boston, Vancouver, and London to deliver highly integrated robotic platforms. This is a high-impact role: if you have strong technical judgment, systems thinking, and the ability to drive execution across deeply-interdependent teams - we'd love to hear from you. What Makes This Role Exciting - Drive execution of next-generation humanoid robot programs from concept to deployment - Work at the intersection of hardware, embedded systems, AI, and robotics - Coordinate globally distributed engineering teams spanning multiple time zones - Tackle the complex challenges of scaling robotics systems into products that work in the real world - Play a critical role in delivering robots that operate in real environments, at scale WHAT YOU'LL DO Own the end-to-end planning and execution of a portfolio of projects in a robot new product introduction program, where you’ll be accountable for scope, schedule, cost, and process. While your projects center on development of a hardware platform, it is deeply cross-functional, spanning Systems, Safety, Mechanical, Electrical, Firmware, Software, AI/ML, DFX, Regulatory, Integration, Test, Supply Chain, Design, Product, Marketing, Logistics, and more. Drive execution Track and motivate program and project progress end-to-end, coordinating across many teams and sites and suppliers to predictably execute the plan. Proactively anticipate risks, put mitigation plans in place, and manage them actively. Urgently identify, prioritize, and clear blockers. Lead people and stakeholders Empathize with, partner with, negotiate with, and manage stakeholders, using tactful and effective approaches to build alignment and secure commitments. Establish efficient, clear, and timely program communication, tailored to your audience and optimized for the real challenges of collaborating across distances, cultures, and time zones. Bring judgment Based on situational awareness, operate fluidly between the strategic and the detailed. Apply systems thinking, perspective, and technical judgment to bring clarity, prioritization, and guidance to your teams. Embody the culture Roll up your sleeves and enthusiastically pitch in wherever it's needed for the program's success — at Humanoid, we're all in this together. Never settle for the status quo; continually improve our practices. Demonstrate through your actions how you contribute to the team's success, building strong, enduring influence across the program team and its stakeholders. WHAT WE'RE LOOKING FOR - 3+ years of relevant post-graduate experience as a project or program manager leading hardware new product development - Bachelor’s or Master’s degree in a technical field relevant to robotics or engineering - Technical background in development of complex systems integrating hardware, firmware, and software - Strong understanding of mechanical and hardware development processes for scalable manufacturing - Experience working in highly cross-functional engineering environments - Proficiency with multiple program management methodologies and tools - Proven ability to create structure and clarity in ambiguous, fast-paced environments - Strong organizational skills with the ability to manage multiple complex workstreams simultaneously - Excellent written and verbal communication skills, both synchronous and asynchronous - Demonstrated ability to lead through influence across diverse teams - Ability to remain calm, structured, and effective under pressure, including with executive stakeholders - Strong ability to understand and communicate complex technical concepts - Systems-thinking mindset with strong problem-solving capabilities - Willingness to work early hours as needed to collaborate with teams in London BONUS QUALIFICATIONS - Experience in robotics, autonomous systems, or advanced hardware companies - Experience working in speed-focused startup environments - Experience with end-to-end lifecycle including integration - Experience working with globally distributed teams - Exposure to manufacturing, supply chain, or production ramp environments WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in Massachusetts, the expected base salary range is $120K–$160K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE Humanoid's Core Platform Electrical team designs and releases the PCBs that power our humanoid robots — from sensor interface boards to power distribution and compute carrier cards. As we scale from prototype to production, keeping our Altium component library clean, consistent, and traceable has become mission-critical to design velocity and quality. We're looking for an ECAD Librarian to own and grow our Altium Designer component library. You'll be the go-to owner for schematic symbols, footprints, and component data across our Boston, Vancouver and London EE teams, ensuring every part that goes into a design is accurate, manufacturable, and properly tracked from draft through production. This is a foundational role for a small, fast-moving hardware organization — your work directly reduces respin risk, rework, and time lost to bad footprints or duplicate parts. WHAT YOU'LL DO - Own the Altium component library. Create, validate, and maintain schematic symbols, PCB footprints, and 3D models for new components requested by EE designers in Boston and London. - Enforce library standards. Apply and evolve our standardized approach to symbol sizing, footprint conventions, reference designator (REFDES) schemes, and naming conventions for passives, ICs, and mechanical library items (per our library rules and guidance documentation). - Manage the component lifecycle. Administer part status workflow (Draft → Preliminary → Production) in Altium, ensuring only vetted, verified parts are promoted for use in active designs. - Component data integrity. Verify manufacturer part numbers, approved alternates, and Part Choices are correctly attached to library parts; keep footprint/pinout data accurate against datasheets to prevent field errors (e.g., mis-pinned footprints making it into fabricated boards). - Traceability & "Where-Used." Support where-used traceability for components, symbols, and footprints so the team can quickly identify PCB exposure when an issue is found with a given part or footprint. - Cross-functional support. Work closely with EE designers across the #chapter-ee community to add, retire, and validate components on request, and communicate library changes that may affect in-flight designs. - PLM/ERP alignment. Support the ongoing effort to integrate Altium component data with our broader PLM system (Teamcenter) and part numbering scheme, working with the EE and supply chain teams. - Bulk library cleanup. Partner with engineering on periodic bulk edits and standardization passes across the existing library to reduce duplication and inconsistency. - Documentation. Keep library rules, statuses, and conventions current in Confluence so the standards are discoverable and followed consistently by all designers. WHAT WE'RE LOOKING FOR - Hands-on experience with Altium Designer, including schematic library and PCB footprint creation (Altium 365 / Managed Components experience a plus). - Strong attention to detail — comfortable cross-referencing datasheets, verifying pin counts, pad geometry, and package dimensions before a part goes into a design. - Familiarity with component lifecycle/PLM concepts (draft/preliminary/released states, where-used traceability) and how they connect to manufacturing quality. - Understanding of standard component conventions: reference designator schemes, tolerances (e.g., 1% resistors, 10% capacitors), automotive/AEC-Q200 grading where relevant, and approved manufacturer/supplier alternates. - Comfortable working across a distributed EE team (Boston and London) and prioritizing incoming library requests. - Bonus: experience with Teamcenter or another PLM system, or prior exposure to integrating ECAD libraries with enterprise PLM/ERP. - Bonus: experience in a hardware startup or fast-scaling engineering org where library hygiene had to be built from the ground up. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in Massachusetts, the expected base salary range is $100K–$140K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Auth & Identity team builds the authentication, authorization, and identity platform that underpins every Anthropic product: the API, Claude Code, Claude.ai, and our Enterprise offerings. Every login, API key, OAuth token, access decision, and organization record flows through the systems we own. As Claude moves from a chat product to an agentic platform, we are defining what identity and access look like when the actor is a human, a service account, or an autonomous agent acting on someone's behalf. We are a platform team with a product surface. The horizontal is the set of services every product consumes: credential minting and exchange, authorization controls, and the canonical record of users, service accounts, agents, and the organizations they belong to. The vertical is the experience where admins author that policy: SSO and SCIM setup, roles and permissions, IP allowlisting, and API key policies. Our work falls into four pillars: Authentication – Who you are. Credential minting, exchange, and lifecycle; sessions; workload identity federation; auth for async and agentic workloads. Authorization – What you can do. The policy framework for model, membership, role, and resource access. Identity – Who belongs to what. The tenant and organization model, and first-class identity for humans, service accounts, and agents, portable across surfaces and cloud environments. Enterprise – How enterprises connect. SSO, SCIM, login policies, and the admin controls that let customers provision and govern users from their own identity provider. What you'll do You will own critical, high-traffic systems end to end, from design through rollout, operations, and iteration, and help shape the technical strategy for how identity and access work across Anthropic. Representative problems we are working on right now: Designing credentials for agents and long-running autonomous workloads. Routing every access decision through a unified authorization system, with low latency, security guarantees, and multi-region resilience. Building a first-class identity model for service accounts and agents, and linking those identities to other identity and auth systems. Global distribution and multi-region failover for some of the company’s most mission-critical services. Deepening enterprise integration: login policies and recovery methods, self-service allowlisting, and tighter integrations with providers. You will work closely with product, security, infrastructure, and the product teams that consume our primitives, and you will be expected to set technical direction, not just execute on it. Many of the problems are 0-to-1 with no established pattern to copy; others are careful migrations of systems that every Anthropic customer depends on in the hot path. You might be a good fit if you: Have 8+ years of experience building and operating backend or platform systems at scale, ideally including identity, authentication, authorization, or security-adjacent infrastructure. Have worked with some of: OAuth 2.0 and OIDC, SAML, SCIM, JWTs and token exchange, workload identity federation, policy engines such as Cedar or OPA, or RBAC and resource-level access control models. Care deeply about reliability and security. You design for on-call, failure modes, revocation, and the engineer who inherits your system, and you treat availability of auth as table stakes for every product built on it. Are comfortable owning large migrations in live, high-traffic systems: shadow modes, incremental rollouts, and clean retirement of legacy paths. Take a product-focused approach to platform work and build primitives that are easy for other engineers to adopt correctly, with documentation and self-service as part of the deliverable. Can navigate ambiguity and make sound technical decisions independently, and communicate clearly with cross-functional partners and stakeholders. Are familiar with using AI tools as part of your software development workflow. Strong candidates may also have Experience with globally distributed databases and multi-region service architecture. Experience working in Go, Python, Rust, or TypeScript across a rapidly changing codebase. Prior work on enterprise identity integrations with major identity providers and cloud IAM systems. Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. 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: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Controls Engineer to join our Control Team in Boston. You will own how we know our controls stack works: the testing and validation infrastructure that turns "it looked fine on the robot" into measured, reproducible evaluation, the observability and failure analysis that makes runtime behaviour visible and failures shareable, and the documentation and runbooks that let the team self-serve without institutional knowledge. You will also strongly contribute to first-time bring-up of new hardware for Boston components and validate changes end-to-end on real robots before the wider team depends on them. The ideal candidate has strong control fundamentals, solid software engineering discipline across the stack - from control code to test harnesses to diagnostic tooling - and the debugging instincts that only come from real hardware. You will work across the whole control stack and be the person the team relies on to tell them the truth about their code. WHAT YOU'LL DO Testing & Validation Infrastructure: - Build and own hardware-in-the-loop (HIL) and integration test workflows that quantify controller and motion repeatability and accuracy - turning "it looked fine on the robot" into measured, reproducible evaluation. - Define and implement repeatability and accuracy metrics for controller and motion changes, and the harnesses that make those measurements consistent across runs and across robots. - Expand unit and integration test coverage across the controls components the team actually runs - actuator drivers, hardware interfaces, whole-body control, and the teleoperation pipeline. - Develop automated regression checks that surface controls regressions - in accuracy, repeatability, or behaviour - in simulation and on hardware before they reach the wider team. - Work with controls engineers to define testability requirements for new components and algorithms, so things are built to be evaluated and validated. - Package controllers into cleanly separable, reusable, and easily testable interfaces - so individual controllers can be developed, swapped, and validated in isolation. New Hardware Bring-Up & Integration: - Strongly contribute to first-time bring-up of new hardware for Boston components, and to their integration into the controls stack. - Validate hardware and software changes end-to-end on real robots before broader team use - structured, documented, and repeatable. Debugging, Observability & Failure Analysis: - Instrument the controls stack to improve visibility into runtime behaviour - logging, tracing, and diagnostic tooling. - Reproduce hardware and software failures in structured, developer-shareable formats; feed structured root-cause context back to algorithm and hardware owners. - Identify and resolve cross-stack failure modes that span controls, firmware, and hardware. Documentation & Knowledge Transfer: - Write and maintain engineering documentation for the controls stack: HIL and test coverage, and bring-up/integration guides for new hardware. - Own runbooks that let controls engineers self-serve validation, integration, and recovery without relying on institutional knowledge. WHAT WE'RE LOOKING FOR - Substantial hands-on robotics experience on real hardware. - Strong control theory foundation (joint-space control, PID and feedforward, impedance/admittance, observers, state estimation, filtering, stability) — enough to define meaningful repeatability and accuracy metrics for a control stack and interpret what they say. - Shipped software across the stack: modern C++ inside a real-time control codebase, plus Python for test harnesses, analysis and tooling. - Built test automation, HIL or integration-test infrastructure for complex physical systems — and got other engineers to actually use it. - Solid measurement and data analysis judgement: sampling, timing and synchronisation, noise, statistical significance, and knowing when a difference between two runs is real. - Strong debugging across software/firmware/hardware boundaries, with the discipline to reproduce failures in a form other engineers can act on. Nice to have: - Physics simulation environments (MuJoCo, Isaac Sim/Isaac Lab) and sim-to-real validation. - Observability tooling: logging and tracing frameworks, metrics collection, time-series databases, dashboarding (e.g. Grafana). - First-time hardware bring-up experience: new actuators, sensors or compute targets integrated into a control stack. - A track record of engineering documentation and runbooks that outlived their author. - Release management or quality gates for safety-relevant software. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

Location: Philippines; India; Mexico City, Mexico; Mexico; Cairo, Egypt; Brazil; Malaysia; Indonesia Workplace: remote About the Role  We are looking for a detail-oriented QC Reviewer to ensure the quality and consistency of robot manipulation video annotations produced by our annotation team. You'll review labeled video segments against a detailed style guide and reference examples, catch errors or inconsistencies, and provide clear, constructive feedback to annotators. This role is critical to maintaining the accuracy and reliability of training data used for robotics AI models.  What You'll Do      - Review completed annotations of robot manipulation videos across three levels of labeling detail (atomic motion, skill/subtask, task/goal).      - Cross-check annotator descriptions against all three camera views (overhead and both wrist-mounted cameras) to verify accuracy of described actions, object identification, and contact/grasp details.      - Verify full coverage of each video — confirm there are no gaps in labeling, including idle or pause moments.      - Check that descriptions accurately reflect what actually happened in the video, including failures, drops, or slipped grips — flagging any instances where outcomes were inaccurately described or "smoothed over."      - Evaluate annotations for adherence to the style guide: correct vocabulary usage, spatial/directional accuracy, consistent terminology for objects and actions, and appropriate language variation (avoiding repetitive phrasing).      - Identify recurring errors or patterns of confusion among annotators and report them to the team lead for calibration purposes.      - Provide specific, actionable feedback on rejected or revised annotations, referencing the style guide and reference examples.      - Participate in periodic calibration sessions with the team and client to align QC standards with evolving guidelines or edge-case resolutions.      - Maintain a QC log or tracking sheet documenting review outcomes, common error types, and annotator performance trends (as required by the project).    What We're Looking For  Required:      - Excellent written English and strong reading comprehension — you'll be evaluating precise, nuanced language choices, not just checking for typos.      - Exceptional attention to detail — able to catch subtle mismatches between video content and written description (e.g., a mislabeled grasp type, an incorrect object part, a missed failure event).      - Strong grasp of spatial/mechanical description (left/right, above/below, object parts like handles, lids, edges) to verify annotator accuracy.      - Ability to apply a detailed, structured style guide consistently and make sound judgment calls in ambiguous or edge-case scenarios.      - Comfort giving clear, specific, and constructive feedback to annotators (written feedback, not just pass/fail marks).      - Reliable, self-directed work habits, with the ability to work independently while meeting review turnaround expectations.  Nice to Have:      - Prior experience in a QC, editing, proofreading, or annotation review role.      - Experience with video annotation, data labeling, or transcription QA specifically.      - Familiarity with robotics terminology (grippers, end-effectors, manipulation).      - Experience with annotation tools such as Label Studio, including review/approval workflows. Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: Philippines; India; Cairo, Egypt; Mexico City, Mexico; Mexico; Brazil; Malaysia; Indonesia Workplace: remote About the Role  We are looking for detail-oriented annotators to help label robot manipulation videos for AI training purposes. You'll watch short videos of robots performing manipulation tasks (filmed from three synchronized camera angles) and produce precise, structured, natural-language descriptions of the actions taking place. This work directly supports the development of robotics AI models and requires strong written English, sharp observational skills, and the discipline to follow a detailed style guide consistently.  What You'll Do  1. Watch short robot manipulation videos, each filmed from three synchronized camera views (an overhead view and views from each of the robot's two wrist-mounted cameras).  2. Break each video into time segments and write clear, natural-language descriptions for each segment.  3. Apply labels at three levels of detail for each applicable segment:  - Atomic motion (a few seconds) — a single small movement (e.g., "close fingers around the red handle")  - Skill / subtask (several seconds to ~20 seconds) — a complete, meaningful action (e.g., "pick up the red block by its edge")  - Task / goal (up to ~1 minute) — the overall purpose of a sequence of skills (e.g., "place all blocks in the container")    4. Ensure every moment of video is covered by a label at two or more of these levels — no gaps, including idle or pause moments.  5. Accurately describe exactly what happens, including when something doesn't go as planned (a dropped object, a failed grasp, a slipped grip). Precision matters more than making the robot look successful.  6. Cross-reference all three camera angles: use the overhead view to understand the overall scene and object identity, and the close-up wrist views to confirm exact contact and grasp details.  7. Follow a detailed style guide covering vocabulary for actions, spatial relationships, object descriptions, and manner of movement, applying it consistently across many episodes.  8. Participate in periodic calibration sessions to align your labeling with the team and the client's reference examples.    What We're Looking For  Required:  1. Strong written English — you'll write dozens of short, precise descriptive sentences per video and need to vary your language rather than repeating the same phrases.  2. Sharp attention to detail — able to distinguish small differences (a successful grasp vs. a fumble, a push vs. a drag, which specific object part is being touched).  3. Comfort following a detailed, structured style guide and applying it consistently, even in ambiguous or edge-case scenarios.  4. Basic comfort with spatial/mechanical description (left/right, above/below, naming object parts like handles, lids, or edges).  5. Reliable, self-directed work habits — this is often heads-down work with periodic check-ins rather than close supervision.  Nice to Have:  1. Prior experience with video annotation, data labeling, transcription, or QA work.  2. Familiarity with robotics terminology (grippers, end-effectors, manipulation) — helpful but not necessary, as the style guide is self-contained.  3. Experience with annotation tools such as Label Studio. Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: AU: Melbourne: (260 Burwood Rd); AU: Sydney (45 Clarence St); AU: Canberra (68 Northbourne Avenue); AU: Brisbane (243 Edward St) Workplace: Hybrid THE ROLE AND IMPACT This is a role for a search specialist who wants to work at genuine scale. As a Senior Engineer on Xero's Search team, you will help maintain and evolve one of the largest search clusters in the Southern Hemisphere; part of an entire vertical stack delivered to customers. The work is both meaningful and technically stretching: keeping 50+ million searchable documents and 400 terabytes of searchable data at global scale running at 99.9% uptime, whilst contributing to a significant four-year platform rebuild that will shape the next generation of Xero's growth. Currently serving over 200,000 daily active users, this is a product at meaningful scale. Beyond the day-to-day, this role is about real ownership. You will contribute across both search-specific and generalist engineering work, raise and review pull requests, and lead projects. If you are someone who cares about quality and gets energised by hard problems at scale, this is a place where your work will genuinely matter. THE TEAM AND HOW THEY CONNECT The Search team is a small, tight-knit group spread across Melbourne, New South Wales and New Zealand, now part of Xero's Catalyst platform division. You will partner closely with this experienced group who are building the next generation of search infrastructure, a dedicated Product Manager, a Principal Architect, and the Catalyst Platform team who coordinate changes and releases across services. The team brings a high-quality mindset to everything they do, and solves challenging technical problems together. THE TEAM IS CURRENTLY WORKING ON - A large-scale search platform rebuild (Horizon 2) – a multi-year project at the heart of Xero's infrastructure, addressing critical infrastructure limits and building a scalable future - Maintaining and evolving the cluster to keep systems running at 99.9% uptime whilst serving over 200,000 daily active users - Integrating with the ODL (Operational Data Layer) on the ingestion pipeline for the new platform - Exploring new partnership opportunities with Mobile, Files, and AI-adjacent search capabilities as the platform evolves WHERE AND HOW YOU CAN WORK This role can be based in Australia or New Zealand. You will have genuine flexibility in where you work day to day. The team comes together in Melbourne approximately every six months; a chance to connect, align, and spend time in person with colleagues across regions. Xero also offers boost days, giving you the option to work from the office and collaborate with the broader Xero community when it suits you. HERE ARE SOME OF THE THINGS WE ARE LOOKING FOR - You bring strong search engineering experience and know what it takes to build, maintain and scale search systems in a production environment handling hundreds of millions of documents - Solid software engineering and development fundamentals are part of your toolkit, and you are comfortable contributing to both search-specific and generalist engineering work - Quality comes first for you – you hold a high bar for the code you write and review, and care about doing things properly - Working collaboratively with others comes naturally to you, whether that is with engineering, product or infrastructure teams across a distributed environment -

Location: New York City, NY; San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: As manager of the Healthcare and Life Sciences Solutions Architect team within Applied AI at Anthropic, you will drive the adoption of frontier AI in partnership with the rest of the go to market organization. We work with customers that include companies across payers, providers, life sciences, medtech, and other healthcare verticals. You will be responsible for leading and growing the pre-sales team that partners with account executives to help those companies understand and deploy Anthropic’s products, including Claude Code, Cowork, Claude Science, and the Claude Development Platform (our API). This will include leveraging your technical skills and consultative sales experience to hire great people, establish processes for the team to scale, and represent Anthropic directly at strategic customer engagements. Responsibilities: Hire, manage, and guide a team of pre-sales Solutions Architects by providing both technical guidance and career development. Set goals for your team that establish baseline expectations for performance in collaboration with sales and other cross-functional teams. Act as a technical sponsor for high-value strategic customers and advise them on their overall AI adoption strategies or top use case scoping and deployment. Partner closely with sales leadership to identify new strategies to drive adoption of Anthropic products within specific verticals or horizontal use cases. Work with cross-functional teams like product and engineering to ensure Anthropic prioritizes customer feedback or resolves blockers to adoption. Travel to customer sites or conferences for executive-level sessions, technical workshops, and relationship building. Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products. Contribute to thought leadership through conference presentations, webinars, and technical content creation. Stay current with emerging AI trends and the evolving ecosystem. You may be a good fit if you : 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role. 3+ years of technical pre-sales management experience. Have sold complex technical products to Healthcare and Life Sciences companies. Have deep technical proficiency with enterprise AI use cases and API integrations or enterprise solution rollouts. Understand how to contribute to running a GTM organization anchored on a consumption business model, not SaaS sales cycles. Thrive in building and rapidly scaling teams and processes within ambiguous and fast-moving environments. Have excellent communication, collaboration, and coaching abilities. Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams. Have at least a high level familiarity with the architecture and operation of LLMs. Have a passion for making powerful technology safe and societally beneficial. Stay up-to-date and informed by taking an active interest in emerging research and industry trends within AI. Strong candidates may have : Enterprise pre-sales leadership at scale : 5+ years leading solution architect teams through hypergrowth (ideally 10 to 50+ people), with direct experience managing senior individual contributors and developing junior talent in complex enterprise software sales environments. AI Technical Depth + Executive Engagement : Hands-on experience with AI platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders in $10M+ technical evaluations and enterprise sales cycles. Deep HCLS GTM Experience : Demonstrated success adapting technical approaches to customers in payers, providers, life sciences, medtech, or other healthcare verticals. 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: $315,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC 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 Corporate Security protects the environment Anthropic's people work in every day: their laptops and phones, their identities, the tools they collaborate in and the company data that flows through all of it. Everything that makes Claude what it is sits behind that environment. We keep company access on devices we manage, make those devices hard to compromise and right-size what any one of them can reach, while caring a great deal about the day-to-day experience of the people using them. The company is growing quickly and this team is growing with it, so we treat the work as an engineering discipline: controls as code and automation over queues, built to scale with headcount rather than strain against it. As a Security Engineer here you'll drive significant parts of that work end to end. You'll set technical direction and turn it into shipped tooling. When a control collides with someone's workflow, you'll find the path that keeps them moving without giving up the protection. You'll be handed problems rather than task lists and you'll find as many yourself: threat-modeling the environment to surface what matters, fixing it and bringing the evidence that shapes what the team prioritizes next. This is a senior, hands-on individual contributor role. Key responsibilities Drive endpoint hardening across macOS, Windows, Linux, and ChromeOS, including device management configuration, application allowlisting, patching, and browser policy, favoring controls that are versioned, reviewable, and repeatable over one-off configuration Extend device-trust and zero-trust access controls so company systems are reached from managed devices bound to the right person and carrying the right level of access, treating the experience of fellow employees as a design constraint rather than an afterthought Build the automation and integrations that let the team scale with the company: joiner/mover/leaver automation across identity and device management, exception and expiry workflows, posture-driven policy, and Claude-assisted triage of review queues Lead SaaS and identity governance, including third-party OAuth grants, delegated admin access, chat-platform apps, browser extensions, and software security reviews, turning recurring decisions into policy and tooling Partner across the wider Security team, IT, and Engineering on telemetry, detections, and shared standards, and help define how a company that increasingly runs on AI agents does so securely and at scale Minimum qualifications Hands-on endpoint security engineering on macOS, Windows, Linux, or ChromeOS, such as MDM and declarative device management profile engineering, application allowlisting or binary authorization, system extensions and endpoint security frameworks, or their platform equivalents Proficiency in Python and scripting languages generally; you architect and build integrations, automation, and internal tooling as a normal part of the job, and can write a detection when the work calls for it Working depth in identity and access management, SaaS security, and zero-trust access Threat-modeling judgment that finds the problems worth solving and the ability to scope them, define "done," and drive them to completion Care for Anthropic's mission and the part corporate security plays in it Preferred qualifications Experience defining the scope and choosing the tooling for a security program rather than inheriting it Experience shipping an enforcement change to a large user population: using data to find what will break before it does, staging the rollout, building the alternative path for affected workflows, and moving people onto it ahead of enforcement Endpoint depth across more than one of macOS, Windows, Linux, and ChromeOS, with the judgment to harden for the threats that matter rather than to a checklist Mobile security across managed and BYOD contexts, including protecting people and devices in higher-risk settings such as international travel Experience bringing security governance to a modern SaaS environment, including third-party integrations, delegated access, and the long tail of internally built and AI-generated apps, in a way that speeds decisions up rather than slowing them down Configuration-as-code, infrastructure-as-code, and CI/CD applied to corporate infrastructure LLM-assisted security tooling you built that materially changed what a team could cover, and the judgment to know which work to hand to a model, which to keep, and how to combine the two A track record of getting security controls adopted across an organization through influence and partnership rather than authority Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: South Africa; Pakistan; Philippines; Colombia; Ethiopia About Huzzle At Huzzle, we connect high-performing B2B sales professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Timezone: EST Hours Job Summary We are looking for a modern, high-velocity Web Developer who sits at the intersection of engineering, marketing, and conversion optimization. This is not a role for someone who simply installs WordPress templates; we need a builder who leverages the latest AI-assisted development tools (Cursor, Claude, v0, etc.) to deploy high-performance landing pages and funnels at scale. You will be responsible for turning high-level concepts into responsive, SEO-friendly, and conversion-optimized web experiences that turn traffic into measurable revenue. If you are a developer who thinks like a marketer and obsesses over page speed, tracking accuracy, and user behavior, this is the role for you. Key Responsibilities End-to-End Development: Build and maintain business websites, lead-generation funnels, sales pages, and multi-step forms that are mobile-responsive and lightning-fast. AI-Workflow Integration: Utilize AI-assisted coding tools to rapidly generate components, refactor code, and build reusable architectures while maintaining full manual control over code quality and debugging. Conversion Optimization: Implement above-the-fold designs, sticky CTAs, and trust signals to maximize lead generation and appointment bookings. Advanced Tracking & Analytics: Deploy and troubleshoot Meta Pixels (CAPI), Google Tag Manager, GA4, and server-side tracking to ensure 100% data accuracy for advertising campaigns. SEO & Performance: Ensure every site meets strict Core Web Vitals standards, utilizing semantic HTML, schema markup, and optimized assets for maximum search and AI-engine discoverability. Technical Integrations: Connect front-end assets to CRMs (specifically GoHighLevel), email systems, and third-party APIs via webhooks and automation tools like Zapier/Make. Multi-Client Management: Simultaneously manage multiple project lifecycles, from domain/DNS configuration to staging and final production deployment. Requirements Technical Stack: Proficiency in HTML5, CSS3, JavaScript/TypeScript, and modern front-end frameworks (React/Next.js). AI-Native Workflow: Documented experience using tools like Cursor, Claude, GitHub Copilot, or Bolt to accelerate development cycles. Tracking Mastery: Deep expertise in Google Tag Manager, GA4, and Meta Conversions API; ability to troubleshoot attribution errors. SEO Foundations: Strong understanding of technical SEO, including schema markup (LocalBusiness, FAQ, Service) and crawlability. CRO Mindset: Ability to design for "the click," understanding landing page hierarchy and lead-capture friction. Platform Experience: Hands-on experience with Vercel, Cloudflare, and DNS management. Communication: Excellent written English and the ability to work independently in a fast-paced, remote agency environment. Nice-to-Haves GoHighLevel Expertise: Deep knowledge of GHL funnels, workflows, and CRM integrations. Local SEO Experience: Proven track record building service-area landing pages that rank. Automation Skills: Experience with Make/Zapier for complex lead routing and CRM workflows. Industry Experience: Background working with home-service businesses or in a high-volume marketing agency. Benefits Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As an Electrical Design Engineer, you'll support the design, review, and development of critical electrical infrastructure, including low-, medium-, and high-voltage systems. This role is ideal for someone with hands-on data center design experience who can drive technical decisions, coordinate with partners, and ensure designs meet operational and regulatory requirements. Travel: This position will require on-site presence at data centers. Your responsibilities will include: Review electrical design packages for data center projects, including internal concepts and third-party partner designs. Support development of electrical design concepts for high-density data center environments. Evaluate UPS, LV, MV, and HV electrical infrastructure. Review cable distribution, electrical pathways, and design coordination with data hall layouts. Partner with mechanical, construction, commissioning, and operations stakeholders to ensure designs are buildable, maintainable, and aligned with business needs. Assess designs for concurrently maintainable data center operations and high power-density environments. Help identify alternative design solutions, product options, and technical tradeoffs. We expect you to have: 3+ years of experience with electrical systems in large-scale data centers or other critical infrastructure environments. Professional Engineering (PE) license or ability to obtain one within 2 years. Experience designing, operating, commissioning, or maintaining electrical distribution systems. Strong knowledge of UPS systems, generators, switchgear, transformers, and power distribution equipment. Understanding of medium- and high-voltage electrical systems and protection schemes. Experience leading engineering teams and driving technical projects in complex environments. Ability to manage internal stakeholders, consultants, vendors, and outsourced project teams. Knowledge of electrical codes and standards, including NFPA 70 and UL requirements. Experience with power system analysis tools such as SKM, ETAP, or Cymcap. Ability to interpret construction drawings, support commissioning activities, and collaborate across multidisciplinary teams. It will be an added bonus if you have: Experience with neocloud, GPU, or AI infrastructure data centers. Experience at hyperscalers, colocation providers, or mission-critical engineering environments. Familiarity with high-density rack environments. Experience supporting design reviews through commissioning or operational turnover. Key employee benefits: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: up to $85/month for mobile and internet. Disability & life insurance: company-paid short-term, long-term and life insurance coverage. Compensation We offer competitive salaries ranging from $115K to $225K OTE, which includes base salary and bonus. Join Nebius Today! Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $115,000 — $225,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an experienced enablement professional to build our Sales Leader Enablement program. As a key member of the GTM Productivity team, you will be responsible for designing the onboarding, training, and reinforcement programs that ensure our sales managers ramp quickly, lead their teams effectively, and drive consistent sales process across a rapidly growing global sales organization. You will define what great sales leadership looks like at Anthropic and build the infrastructure to develop it at scale. You will work at the intersection of sales leadership, product, operations, and our field teams to translate complex AI concepts, sales processes, and systems into clear programs. This is a ground floor opportunity to architect a sales leader enablement function from scratch. The right person will combine deep sales methodology and coaching expertise with credibility in front of executives, program building instincts, and a bias toward measurable outcomes. Key responsibilities Design and build a scalable onboarding and ongoing development program for sales leadership Roll out and reinforce a unified sales methodology across the global sales team, securing executive sponsorship and defining what is expected of each leadership level to drive adoption Build the reinforcement system that embeds methodology and process into manager coaching cadences, deal reviews, pipeline inspection, and forecasting Define and measure leading indicators of manager and team effectiveness Partner with Product, Marketing, Operations, and other teams to ensure managers receive timely, well-tailored messaging, content, and training on new releases and evolving use cases Serve as a trusted advisor to sales leadership on team productivity, coaching effectiveness, and leadership development Leverage Claude and advanced technologies to deliver personalized, just-in-time training and scale the program beyond in-person engagement Minimum qualifications Direct experience rolling out and reinforcing a sales methodology across a distributed sales team, including training managers to coach to it Program management experience, including building enablement programs from the ground up in a fast-growing, ambiguous environment Strong presentation and facilitation skills, with experience delivering training or coaching in front of both managers and executives Preferred qualifications 8+ years of experience in sales enablement, sales leadership development, sales management, or a related customer-facing role within AI/ML or enterprise technology organizations A track record of earning buy-in from senior sales leaders and frontline managers, and driving stakeholder alignment with executive audiences Strong analytical skills with a data-driven approach to measuring ramp, productivity, and program effectiveness Empathy for sellers and sales leaders, with an understanding of the demands of the role and a partnership-oriented approach to conflict and disagreement A proactive, resourceful approach, combining strategic vision with a willingness to build and execute hands-on Prior frontline sales management experience Experience at an AI company or high-growth technology organization that has scaled a sales leadership team Experience using or building applications on top of Claude or similar AI tools to automate and personalize training 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: $310,000 — $360,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Singapore About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Public Sector Account Executive to drive the adoption of safe, frontier AI across governments in Southeast Asia, establishing and growing Anthropic's presence in this strategic region. Based in Singapore, you'll leverage your consultative sales expertise and deep understanding of public sector landscapes across ASEAN markets to grow revenue while becoming a trusted partner to government customers, helping them embed and deploy AI and uncover its full range of capabilities. Working with ministries, statutory boards, and agencies across the region, you'll navigate diverse procurement, security, and compliance environments to build long-term strategic partnerships. In collaboration with GTM, product, policy, and marketing teams, you'll help define our market entry strategy and value proposition for public sector customers across ASEAN. Key responsibilities Lead Anthropic's market entry and expansion across ASEAN public sector markets, building relationships with key stakeholders across ministries, statutory boards, and government agencies in Singapore and throughout the region Own the full sales cycle for public sector opportunities across ASEAN, from initial outreach through to successful deployment, with a focus on building long-term strategic partnerships Navigate the procurement requirements, security standards, and compliance frameworks specific to government technology adoption in each market—including GeBIZ procurement and IM8 security requirements in Singapore—and prioritise markets based on opportunity and readiness Collaborate with policy teams to ensure alignment with national AI strategies and digital government initiatives across the region, such as Singapore's National AI Strategy and Smart Nation programme and the ASEAN Guide on AI Governance and Ethics Design and execute sales strategies tailored to each public sector environment, meeting and exceeding revenue targets while maintaining strong relationships with procurement teams and decision-makers Provide market intelligence and feedback to product teams to ensure our offerings meet regional public sector requirements, including data sovereignty, data residency, and localisation considerations that vary by country Build and maintain relationships with systems integrators, in-country partners, and technology partners across ASEAN markets Develop and document best practices for public sector engagement in each market, creating playbooks that scale our presence across the region Serve as a leader within the broader public sector team, sharing insights and collaborating on cross-market opportunities Minimum qualifications 12+ years of enterprise sales experience in public sector markets across ASEAN, with a proven track record of driving adoption of emerging technologies Deep understanding of government procurement processes, security requirements, and technology adoption frameworks in Singapore (including GeBIZ and IM8), and familiarity with equivalent frameworks in other ASEAN markets Strong track record of managing complex sales cycles and securing strategic deals in the public sector Experience navigating multiple stakeholders across ministries and agencies in culturally diverse markets, building consensus and providing innovative solutions Experience working with in-country partners and channel ecosystems to reach markets where direct presence is limited Excellent communication skills and the ability to present confidently to all levels, from technical teams to senior government officials Eligibility to handle classified government information as required Ability to work independently while maintaining strong collaboration with global teams, with willingness to travel regularly across the region Bachelor's degree in a related field or equivalent experience Preferred qualifications Experience working with agencies such as GovTech, and familiarity with national digital transformation initiatives across the region Demonstrated ability to build and grow new market segments across multiple countries, with potential to develop into a leadership role Strategic thinking combined with hands-on execution capabilities Proficiency in a regional language beyond English A passion for safe and ethical AI development, with the ability to articulate its importance in the public sector context Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Singapore About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an Enterprise Account Executive to join the foundational team introducing Anthropic's frontier AI to large enterprises across Southeast Asia. Based in Singapore, you will drive adoption of safe, frontier AI by securing strategic deals with major corporations across industries including financial services, healthcare, technology, manufacturing, and telecommunications throughout the ASEAN region. You'll leverage your consultative enterprise sales expertise to grow revenue while becoming a trusted partner to C-suite and senior technical stakeholders, helping them embed Claude across business operations, research, and administration. As Anthropic's senior in-market commercial presence for ASEAN, you'll shape our regional go-to-market strategy and lay the groundwork for a dedicated Southeast Asia footprint. Key responsibilities Own and exceed revenue targets by winning new enterprise accounts and expanding existing relationships across ASEAN countries. Serve as senior regional coverage for Anthropic's most strategic ASEAN enterprise accounts, building executive relationship depth and commercial momentum through consistent in-market engagement Build and execute territory plans that identify high-value opportunities across key ASEAN industries, accounting for differences in market maturity, regulatory environment, and buying behaviour between countries Lead consultative sales processes with C-suite and senior technical stakeholders, positioning AI as a strategic business transformation driver Orchestrate internal teams—Product, Engineering, Applied AI, Partnerships—to deliver tailored solutions for complex enterprise requirements Translate technical AI capabilities into compelling business value propositions suited to the needs of Southeast Asian enterprises Identify new use cases and contribute to ASEAN go-to-market strategy, providing feedback that shapes product roadmap and regional approach Represent Anthropic across Southeast Asia, building executive relationships with enterprise, partner, and government stakeholders and raising Anthropic's profile within the regional technology community Minimum qualifications 12+ years in enterprise sales, GTM, business development, or account management with direct, in-market Southeast Asia operating experience A track record of managing complex, multi-stakeholder sales cycles and securing strategic deals in ASEAN markets by translating multifaceted technical requirements into tailored solutions Existing commercial network across enterprise and partner communities in Singapore and at least one or two additional ASEAN markets Strong commercial instincts, with the ability to identify, prioritise, and advance high-value opportunities without heavy oversight Comfort operating as a generalist regional presence—equally effective in an enterprise sales conversation, a partnership discussion, or a government stakeholder introduction Excellent communication and presentation skills, with cultural fluency across ASEAN business environments Based in, or willing to relocate to, Singapore, with eligibility to work in Singapore and the ability to travel frequently across Southeast Asia Bachelor's degree in a related field or equivalent experience Preferred qualifications Experience selling AI/ML, cloud, data platforms, or enterprise SaaS to regulated industries such as financial services or healthcare Experience working with hyperscaler or channel partners to co-sell into regional enterprise accounts Prior experience establishing or scaling a new market or region for a high-growth technology company Working proficiency in a Southeast Asian language in addition to English (e.g. Bahasa Indonesia, Thai, Vietnamese) Familiarity with regional data residency, AI governance, and procurement frameworks relevant to enterprise buyers A passion for and/or experience with advanced AI systems, and a strong interest in ensuring frontier AI is developed safely Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Brazil; Poland; Argentina; Colombia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Forward Deployed Engineer to work directly with clients on high ambiguity GenAI, agentic AI and AI-enabled workflow transformation initiatives. This role is designed for someone who can operate at the intersection of customer discovery, hands-on engineering, solution architecture, early delivery and production adoption. You will work closely with client stakeholders and users to uncover the real operational problem, build thin end-to-end solutions with real systems and data, validate feasibility, shape the delivery path and stay involved through MVP or first production release to assure alignment with expected outcome. ROLE MISSION Your mission is to turn ambiguous customer problems into validated, production-grade AI solutions. You will help Solvd move from “we can build this” to “we have proven this works in the customer’s real operating environment.” You will bridge presales, discovery, prototyping and delivery, while converting field learnings into solution blueprints and service accelerators. YOUR RESPONSIBILITIES - Lead discovery and solution shaping for GenAI / Agentic AI initiatives, working directly with client stakeholders, users and technical teams to understand workflows, systems, data and business constraints. - Drive early-stage opportunities partnering with account executives, product analysts and technology SMEs to prototype, define scope, implementation roadmap and effort estimates. - Translate ambiguous business problems into validated AI solution designs covering model strategy, data access, orchestration, tool use, integration patterns and production constraints. - Build proof-of-concepts fast, prioritizing speed and impact over perfect design, technical spikes to validate architectural assumptions using real or representative systems and data. - Evaluate and select appropriate AI frameworks, platforms and tools, including LLMs, vector databases, orchestration frameworks, cloud AI services and agentic tooling. - Present, defend and explain complex AI, architecture and delivery concepts in simple, practical terms for both business and technical stakeholders. - Stay involved through MVP or first production release to preserve context, support delivery teams and validate that the solution works in the customer’s operating environment. - Define evaluation criteria for AI quality and business impact, including accuracy, groundedness, tool-call correctness, latency, cost, adoption and workflow effectiveness. - Ensure proposed solutions adhere to security, compliance, Responsible AI, observability and production-readiness principles. - Convert field learnings into reusable Solvd assets, including solution blueprints, evaluation frameworks and service accelerators. OUR REQUIREMENTS - A seasoned hands-on technical leader who has evolved from full-stack or server-side software engineering into the GenAI and agentic AI domain. - Experienced in designing, prototyping and integrating systems that combine LLMs, agentic frameworks, enterprise data and business workflows. - Proficient at combining established engineering patterns with emerging AI capabilities to deliver reliable, production-ready solutions. - Skilled in guiding teams and clients through ambiguity - able to prototype rapidly, validate assumptions and converge toward delivery-ready designs. - Comfortable engaging with executives, product teams, operational users and engineers alike, translating complex AI concepts into clear, actionable solution narratives. - Pragmatic, curious, collaborative and obsessed with customer problem — equally focused on technical soundness, business value, user adoption and delivery readiness. - 8+ years of experience in IT, including strong experience in software design and engineering. - 2+ years of hands-on experience architecting or building GenAI or agentic AI systems using modern LLM ecosystems, such as OpenAI, Anthropic, Gemini, Azure AI or AWS Bedrock. - Experience supporting presales solutioning, discovery, prototyping or early delivery for AI engagements. - Strong understanding of LLM orchestration, retrieval-augmented generation, vector databases, prompt engineering and tool-calling patterns. - Understanding of cost modeling for AI workloads, including token usage, inference scaling and hosting models. - Proficiency with at least one major cloud platform, such as AWS, Azure or GCP, and its AI/ML service offerings. - Demonstrated experience leading technical discussions with both engineering and non-technical stakeholders in presales, discovery or early delivery phases. - Strong command of software engineering fundamentals, API design, integration patterns and production-readiness practices. - Knowledge of modern software delivery practices, including CI/CD, containerization, observability and DevSecOps. - Excellent communication, presentation and documentation skills, with the ability to articulate complex solutions clearly and persuasively. OPTIONAL - Prior experience as a Forward Deployed Engineer, Field Engineer, staff engineer, solution architect or technical product lead. - Prior experience with traditional AI/ML systems, including model training, MLOps, data pipelines or feature stores. - Familiarity with frameworks for agentic or multi-component AI pipelines. - Exposure to Responsible AI, data privacy and governance frameworks. - Hands-on experience with Databricks or Snowflake. - Experience creating reusable solution blueprints, evaluation frameworks or technical accelerators. - Industry-recognized cloud and AI certifications from Anthropic, AWS, Azure or Google. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ The Role We are seeking a Senior Manager, Sales Operations to join our Revenue Operations team in a critical leadership capacity. This is a player-coach role designed for a deeply technical Sales Ops expert who thrives on both strategic execution and people development. You will serve as the ultimate go-to subject matter expert for all things Sales Ops infrastructure, including architecting our territory design, segmentation models, quota models and annual planning frameworks, while simultaneously leading and scaling a high-performing team. Initially managing a team of two, with further headcount planned as Docker grows, you will balance executive partnership with technical execution. You will run the strategic vision, coach your team to execute flawlessly, and step into the trenches yourself to solve our most complex operational challenges. An ideal candidate brings deep Sales Operations experience in a high-growth SaaS environment, strong command of our core tooling, and a track record of leading transformational operational change. This role reports to the Senior Director of Sales Operations. _______________________________________________________________________ RESPONSIBILITIES Sales Ops Architecture & Planning Execution - Drive the end-to-end execution of core Sales Operations, translating the overarching GTM strategy into tactical territory designs and segmentation models - Architect and build the operational models for annual and quarterly planning cycles, including territory routing (ETM), segmentation updates, and quota allocation - Own the management, administration, and execution of quota frameworks, and assist with compensation plan design for the direct sales & GTM organization - Take full ownership of complex operational initiatives, managing the lifecycle from scoping and business requirements through to deployment and post-launch optimization - Own and update the Sales Rules of Engagement and account engagement models to ensure seamless, frictionless deal flow and pipeline integrity - Own key tools within the Sales technology stack, managing vendor relationships, budgets, and roadmaps Operational Collaboration & Tech Optimization - Serve as the trusted daily operational partner to senior Sales leaders, proactively identifying areas for improvement and executing process enhancements - Collaborate closely with the Senior Director of Sales Operations and GTM ops leaders (CS, SE, Channel, Renewals) to ensure Sales Ops execution aligns seamlessly with the broader revenue ecosystem - Maximize the efficiency and roadmap of the core sales technology stack (Salesforce, Clari, Outreach, etc.) to optimize the sales cadence - Partner with Business Systems to design, test, and deploy scalable tech solutions Team Leadership - Directly manage, mentor, and develop a team of Sales Operations professionals (initially 2 direct reports) - Establish team operating cadences, manage workload capacity, and instill a culture of high ownership, precision, and operational excellence - Coach your team on advanced problem-solving, data integrity, and stakeholder communication, acting as a force multiplier for their career growth _______________________________________________________________________ QUALIFICATIONS - 6+ years of experience in Sales Operations, ideally within a high-growth SaaS or software company - 2+ years of people management or team leadership experience, with a demonstrated track record of coaching and developing team members - Hands-on experience of core Sales Ops planning, specifically territory routing, Enterprise Territory Management (ETM), segmentation modeling, and quota allocation - Proven project management skills, with experience owning complex operational initiatives across their entire lifecycle (from business requirements to post-launch optimization) - Technical expertise with core sales technology infrastructure, including Salesforce, Clari, Outreach, and LinkedIn Sales Navigator - Strong analytical and financial acumen required to manage vendor budgets, software roadmaps, and data modeling tasks - Exceptional communication and stakeholder management skills, with the confidence to advise senior sales leadership and collaborate with cross-functional GTM operations peers - Highly organized with an eye for data integrity, process precision, and documentation _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Immerse yourself in Docker’s direct sales motion, existing territory models, current sales technology stack and existing Sales Ops processes - Assume direct management of your team, establishing regular 1-on-1 cadences to understand their current workloads, skills, and professional development goals - Build strong baseline relationships with your core sales leadership partners, and GTM ops leaders (CS, SE, Channel, Renewals) - Review current processes, systems, and metrics to form an independent point of view on highest-impact opportunities FIRST 60 DAYS - Establish your position as the go-to expert for sales leadership regarding tactical operational questions, territory updates, and cadence execution - Take full ownership of the sales tech stack, including active vendor relationships, roadmaps, and budget lines - Optimize team capacity by refining operating cadences and shifting immediate execution workloads to your team, stepping in to coach them through complex roadblocks - Partner with Business Systems to get involved in open projects FIRST 90 DAYS - Drive the preparation and operational execution for the upcoming quarterly or annual sales planning cycles (territories, quotas, segmentation) - Achieve full oversight of the Sales Ops team's output, ensuring high-quality, precise delivery across all direct sales workstreams - Be recognized across Docker as both an indispensable technical anchor for Sales Operations and an impactful manager developing the next generation of operational talent Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $128.1K – $200K base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE