Location: Los Angeles, United States
📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite)
If you’re interested in learning more about this opportunity or beginning the interview process, feel free to connect directly via LinkedIn:
LinkedIn:
https://www.linkedin.com/in/ra...
Manufacturing Engineer – Effectors
An advanced aerospace and defense technology company is seeking a hands-on Manufacturing Engineer to help scale next-generation interceptor and autonomous defense systems from prototype development into high-rate production.
This role sits at the intersection of product engineering, manufacturing strategy, and production execution. The ideal candidate will bring strong Design for Manufacturing & Assembly (DFMA) experience, a deep understanding of producibility, and practical experience scaling hardware from low-volume development into repeatable, cost-optimized manufacturing environments.
This is a highly collaborative and hands-on position for someone who enjoys working directly with hardware, influencing design decisions early, and helping build manufacturing capability from the ground up.
Responsibilities
Design for Manufacturing & Assembly (DFMA)
Lead DFMA reviews throughout concept development, design reviews, prototyping, and production readiness phases
Influence hardware designs for manufacturability, scalability, cost efficiency, and assembly optimization
Evaluate tolerance stack-ups, GD&T strategies, joining methods, and assembly flow
Help simplify part counts, interfaces, fastener strategies, and production processes
Develop assembly sequencing approaches optimized for throughput and takt time
Support material and process selection decisions with a focus on scalable production
Producibility & Production Engineering
Perform producibility assessments, process capability evaluations, and yield analysis
Develop manufacturing plans, work instructions, routing flows, and MBOM structures
Support make-versus-buy decisions alongside supply chain and operations teams
Identify tooling, fixture, and capital equipment requirements needed for scale-up
Analyze bottlenecks, cycle times, and production rate sensitivities
Drive process improvements focused on throughput, quality, and cost reduction
Prototype & Transition-to-Production Support
Support manual prototype builds, assembly activities, and early production efforts
Provide hands-on troubleshooting support during pilot builds and ramp activities
Participate in root cause investigations and corrective action implementation
Support First Article Inspection (FAI), qualification efforts, and production validation
Collaborate closely with design, quality, supply chain, and test engineering teams
Assist with supplier readiness, manufacturing transfers, and production scaling initiatives
Continuous Improvement & Factory Scaling
Develop scalable manufacturing strategies for high-rate production environments
Implement automation, poka-yoke, and error-proofing concepts where appropriate
Support MES, ERP, and PLM manufacturing workflows
Analyze yield, cost, rework, and throughput metrics to improve manufacturing performance
Help establish long-term production infrastructure and scalable manufacturing operations
Qualifications
Bachelor’s degree in Mechanical Engineering, Manufacturing Engineering, or related STEM field
5+ years of experience in aerospace, defense, automotive, robotics, semiconductor, or other high-rate manufacturing environments
Strong DFMA and producibility engineering experience
Experience transitioning hardware from development/prototype phases into production
Working knowledge of:
GD&T (ASME Y14.5)
Tolerance stack-up analysis
Manufacturing process capability concepts (Cp/Cpk)
Root cause methodologies (8D, RCCA, Fishbone, etc.)
Experience developing:
Manufacturing documentation
MBOMs
Work instructions
Process flows
Production routing sequences
Proficiency with CAD tools such as SolidWorks, Creo, CATIA, or similar
Ability to work hands-on in fast-paced development and production environments
U.S. citizenship required; ability to obtain and maintain a DoD security clearance required
Preferred Experience
Missile, interceptor, UAV, autonomous system, or aerospace hardware manufacturing
High-rate production scaling experience (100k+ units/year environments strongly valued)
Startup or greenfield manufacturing build-out experience
Automated assembly systems or robotics integration
Composites, harness integration, or electromechanical assembly experience
Experience with PLM, MES, or ERP manufacturing systems
Experience conducting Manufacturing Readiness Level (MRL) assessments
Exposure to contract manufacturing, supplier industrialization, or production transfer activities
What Makes This Opportunity Unique
This role offers the opportunity to help build a manufacturing capability from the ground up inside a rapidly scaling aerospace and defense environment.
The team is looking for engineers who can bridge product development and manufacturing execution — people who understand not only how to design hardware, but also how to build it efficiently, repeatedly, and at scale.
You’ll have significant ownership early, working directly with prototype hardware today while helping shape long-term production strategy for future high-rate manufacturing operations.
Additional Information
Competitive compensation and equity package
Comprehensive healthcare coverage
401(k) matching
PTO flexibility
Relocation assistance may be available
Full-time onsite collaboration environment
U.S. citizenship required due to security and export control requirements
📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite)
To learn more or express interest, connect directly via LinkedIn:
LinkedIn:
https://www.linkedin.com/in/ra...
Salary: $110,000 – $160,000 / year
Los Angeles, United States; Relocation assistance may be available
Location: Hybrid - Riyadh, Saudi Arabia
MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data.
We’re building the complete data stack for AI — exascale object store, table store, agent memory, and brain: every layer of how AI stores, retrieves, and thinks over data. Hard problems with no existing answers. Bring your own.
What you will do:
You’ll own problems end-to-end — the kind most engineering teams never get close to. No ticket queues, no standups, no permission. Just you, the codebase, and a team of people who care as much as you do. Everyone here is an IC, an architect, or a lead — most are all three.
Your Skills and Experience:
Deep OS internals. Networking from the socket layer up. Strong opinions on memory, concurrency, and correctness — and the humility to revise them. You’ve debugged something no one else could reproduce.You’ve read source code not because you had to, but because it was bothering you.
Key Competencies:
Fluent in ≥2 languages, honest about tradeoffs
You debug by understanding, not by guessing
Grit: you start hard things and finish them
Curiosity you genuinely can’t switch off
Low ego, extremely high standards
You write code the next engineer respects
Operating Systems, Networking, Systems Programming, Distributed Systems, Storage Engines, Vector/Graph Retrieval, Low -Latency I/O, and Protocol Design
MinIO Engineering Culture:
All leads, architects and ICs — no managers
Full ownership from day one, no permission
needed
Decisions made by the people doing the work
Craftsmanship is a first-class engineering
concern
No sprints. No standups. No Jira.
What We Offer:
Health Care Plan (Medical, Dental & Vision)
401K with 3% Contribution
Pre-IPO Stock Options
At least 12 Public Holidays
Flexible Time Off
Please include a sample of your work. Examples could include a repo, write up, postmortem, We care more about the work you have done more than a resume. - Submissions without samples will not be considered
Equal Opportunity Policy (EEO)
MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Location: Paris, France; Lyon, France; Marseille, France; Bordeaux, France
Workplace: Hybrid
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
🤹 OPERATIONS AT ALAN
Behind Alan's performance lies an Operations team that is anything but back-office. At Alan, Ops is a strategic function: we define the vision, build the systems, and own the outcomes that make our insurance and healthcare products work at scale.
As a Senior Ops & Product Builder, you will own some of the most critical and ambiguous challenges in the company. You will shape strategy, drive cross-functional alignment, and build solutions with lasting impact on Alan's P&L and member experience.
You’ll be joining 80+ talented, committed, passionate Ops team members working globally on all our services. You’ll be among the team mates structuring this community.
⭐️ THE CHALLENGES
We are looking for driven professionals and entrepreneurs with a strong operational background to disrupt the way we traditionally think about insurance or healthcare. Our goal is to delight our members everywhere as we keep on scaling and building new services in France and internationally.
The job description is simple: you set the vision, make the hard calls, and own the outcome.
Here are some examples of missions our team is covering that you could lead:
- Saving millions through fraud detection: Building a detection capability with no playbook. Owning make-vs-buy decisions on tooling, balancing precision against member experience at scale, and managing the external surface. Partner negotiations, industry lobbying, and ecosystem-level fraud strategy.
- Building a global recovery engine: Establishing a billing monitoring framework to identify gaps early on. Then building assets & partnerships to drive costs down : designing a global recovery system that adapts to local legislation to support Alan’s expansion. With millions invoiced every month and high growth, the impact on P&L is direct.
- Scaling psychotherapy online sessions: Defining the operating model from scratch, making hard resourcing decisions under uncertainty, managing quality at scale, and driving international replication. Today: 80,000 sessions were delivered & 93% of users report reduced stress.
- Reinventing healthcare expense payment: Challenging a key French health insurance item (Tiers Payant), owning complex supplier negotiations autonomously, and cutting the budget line by more than half while improving member satisfaction.
⭐️ IF YOU HAVE SOME OF THE FOLLOWING, YOU MAY BE A GREAT FIT ⭐️
- You have at least 10 years of professional experience in Operations management or entrepreneurship
- You are fully fluent in English and Spanish or French or Dutch
- You have a high level of structure and strong analytical skills (including Sql fluency for data analysis)
- You independently own high-ambiguity, high-impact initiatives (typically >10M€/year business impact)
- You excel at defining a clear vision and roadmap on your scope, lead product reviews, and drive make-or-buy decisions
- You make hard prioritization calls with partial information and manage key external partnerships autonomously
- You are a thought leader and implement innovative uses of AI and automation across crews
- You are a strong mentor: you make the people around you better, and you drive significant community impact
For this role we are looking to hire within the D-F https://alan.com/en/careers/a/salary-equity level range based out of France, Belgium or Spain.
🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application!
🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.
YOU WANT TO KNOW MORE ABOUT ALAN?
- 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
- 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work #LI-DNP
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 RL Teams
Our Reinforcement Learning teams play a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of our latest Claude models. Our work spans several key areas:
Developing systems that enable models to use computers effectively
Advancing code generation through reinforcement learning
Pioneering fundamental RL research for large language models
Building scalable RL infrastructure and training methodologies
Enhancing model reasoning capabilities
We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish.
About the Role
We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to write, edit, test, debug, and ship real software — end to end, on real codebases, with real tools — and to do it correctly, fast, and safely.
This role blends research and engineering. You'll design RL environments and coding tasks, build the reward signals and verifiers that capture what "good code" means, run training experiments on frontier models, diagnose why a model does (or doesn't) get better at a class of software-engineering work, and improve the speed and reliability of the pipelines that make all of that iterate fast. Code RL spans several focus areas — from agentic coding behaviors and code correctness, to long-horizon autonomous engineering, to high-performance code for accelerators — and we'll match you to the area where you'll have the most impact.
You may be a good fit if you:
Have strong software-engineering skills and deep Python expertise, including async/concurrent programming
Are comfortable owning systems end to end and debugging across the stack
Can balance research exploration with engineering implementation, and engage rigorously in shaping experimental design and interpreting results
Care about code quality, testing, and performance
Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems
Strong candidates may also have:
Experience with reinforcement learning, RLHF, post-training, or LLM finetuning
Built coding agents, code-execution sandboxes, eval harnesses, verifiers, or developer tooling
Background in program analysis, testing, verification, compilers, or formal methods
Experience with PyTorch and large-scale distributed training; performance profiling and optimization of ML systems
CUDA / GPU or TPU kernel experience and accelerator-performance intuition
Experience with virtualization and sandboxed code execution environments
Related roles
If your background leans toward one of these areas specifically, you may also want to look at these postings:
Research Engineer, Performance RL (Reinforcement Learning)
— teaching Claude to write correct, fast code for accelerators
Research Engineer, Universes
— long-horizon, ultra-realistic agentic training environments
Research Engineer, Cybersecurity RL (Reinforcement Learning)
— RL for security-relevant coding capabilities
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:
$500,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Tokyo, Japan
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE
As a Forward Deployed Engineer on Notion’s Services team, you will lead the hands on technical delivery of our most complex customer engagements. You will design, build, and deploy production ready solutions that help enterprise customers integrate Notion as the operating layer for their business.
You’ll embed with enterprise customers to design and build solutions that integrate Notion deeply into their technical and operational environments. This includes writing and maintaining custom code, designing and deploying production-grade custom agents and AI workflows with MCP, Agent APIs, and Notion’s automation and execution infrastructure, building data pipelines and resolving complex challenges around scale, permissions, and governance.
You’ll embed with enterprise customers to design and build solutions that integrate Notion deeply into their technical and operational environments.
This is a customer-facing engineering role for someone who is comfortable writing code, debugging technical issues, explaining tradeoffs to stakeholders, and turning ambiguous customer problems into scalable technical solutions. Your work will help shape best practices for how we support complex customer needs and ensure Notion’s platform is ready for scale.
This role is based in Tokyo, Japan. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We're looking for someone who's excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE
- Own the hands-on technical delivery of customer engagements, including deep technical discovery, requirements gathering, solution design, and end to end implementation.
- Act as a trusted technical advisor, helping customers make informed architectural decisions and identify opportunities to expand and deepen their use of Notion.
- Design, build, and operate custom agents, integrations, automations, and data pipelines that connect Notion with customers’ systems and workflows.
- Lead the design and execution of large-scale content and data migrations, including discovery, scoping, data modeling, transformation logic, validation, and post-migration optimization.
- Work directly with customer engineering, IT, security and business stakeholders to gather technical requirements, identify constraints, evaluate feasibility, and make sound architectural decisions that maximizes the value of Notion within their broader technical ecosystem.
- Troubleshoot complex implementation issues across APIs, integrations, automation logic, data quality, permissions, authentication, system limits, and customer specific environments.
- Design and operate feedback loops with Product, CX, and Engineering, translating real-world implementation challenges into actionable insights, technical requirements, and tooling improvements that directly influence Notion’s Product Roadmap and our Customers.
- Build reusable technical assets, including migration tooling, integration patterns, reference implementations, discovery frameworks, technical standards, scripts, and internal delivery tooling.
- Help define how Services delivers complex technical implementations at scale by improving methodologies, scoping artifacts, build patterns, technical documentation and engineering best practices.
SKILLS YOU'LL NEED TO BRING
- 5+ years of experience in customer-facing or forward deployed engineering role or a similar hands-on technical role.
- Proficiency in at least one programming language such as Java, JavaScript, Node.js, SQL, or Python and comfort with writing production-quality code in customer-facing or internal engineering contexts.
- Hands-on experience with APIs and data integration.
- Ability to lead technical discovery with customers, assess feasibility, identify risks, scope technical work, estimate effort, and translate ambiguous requirements into an executable plan.
- Strong debugging and problem-solving skills, with the ability to isolate root causes across code, APIs, permissions, integrations and customer specific configuration.
- Strong written and verbal communication skills, with the ability to engage both technical and business audiences effectively.
- A track record of delivering customer value by translating technical challenges into solutions that drive outcomes for customers at scale.
NICE TO HAVES
- Experience working in professional services, preferably in a startup or high-growth environment.
- Experience deploying AI agents autonomously in complex coding or business workflows.
- Experience designing or implementing AI-powered workflows, including work with MCPs, APIs, LLM applications, prompt engineering, retrieval/RAG systems or workflow orchestration.
- Background in developing technical frameworks, discovery methodologies, or internal tooling from the ground up.
- Experience with ETL/ELT workflows, data transformation, schema mapping, validation scripts, or large-scale content migration tooling.
- Strong history of collaboration with product and engineering teams, including influencing roadmaps or architectural decisions.
- Experience supporting pre-sales or early engagement phases, including technical discovery, migration scoping, feasibility analysis, effort estimation, and building prototypes or custom scripts to validate approaches.
- Strong track record of successful enterprise customer implementations.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: Poland
Action1 is an autonomous endpoint management platform trusted by many Fortune 500 companies. Cloud-native, infinitely scalable, highly secure, and configurable in 5 minutes—it just works and is always free for the first 200 endpoints, with no functional limits. By pioneering autonomous OS and third-party patching with peer-to-peer patch distribution and real-time vulnerability assessment without needing a VPN, it eliminates routine labor, preempts ransomware and security risks, and protects the digital employee experience.
In 2025, Action1 was recognized by Inc. 5000 as the fastest-growing private software company in America. The company is founder-led by Alex Vovk and Mike Walters, American entrepreneurs who previously founded Netwrix, a multi-billion-dollar cybersecurity company.
We are stepping into an exciting growth stage and are looking for
a Backend developer
to join our amazing development team.
You will:
Develop API and backend for a high-load product with numerous endpoints
Write unit and integration tests for backend
Refactor code and improve application performance
Requirements:
4+ years of software development experience
Good knowledge of Node.js, JavaScript, TypeScript
Experience in designing and developing REST APIs and high load applications
Proficiency in working with databases (DynamoDB, MySQL)
Experience writing tests
Good knowledge of Docker and AWS (Lambda, EC2)
We offer:
Fully remote work, giving you the flexibility you need in the modern world
A multitude of interesting challenges and opportunities
Stable income and flexible working hours, opportunities for promotion
Friendly and professional peers, eager to help and help you grow
Join Action1 and be a driving force behind our success!
Location: Toronto, Ontario, Canada
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE
At Sentry, Support is an engineering discipline. Our customers are the greatest technical minds in the world—developers at elite enterprises building the future of software—and they deserve answers that go deeper than a knowledge base link.
We are architecting the Technical Support engine. We’re looking for a veteran engineer to help us redefine the standard of technical support by combining deep human expertise with autonomous agentic systems. You are a debugger of both code and systems. You will treat support volume as a data signal to build automated resolution paths, ensuring our human engineers only touch the most complex, high-impact architectural puzzles.
Sentry Support Engineers aren't just clearing queues; they are Orchestrators. You will engage with our users across GitHub, Discord, and our internal systems, while acting as the Technical Lead for our Agentic Ops. You ensure that when a developer asks a complex question, our systems have the right context and a seamless "Human-in-the-Loop" path to you when deep, nuanced expertise is required.
IN THIS ROLE YOU WILL
Master the Sentry Ecosystem & Support Elite Developers
- Deep-Dive Debugging: Perform root-cause analysis on complex issues and distributed tracing gaps across polyglot environments.
- Support the Great Minds: Act as a strategic consultant for senior engineers at our largest enterprise customers, solving high-stakes architectural challenges that push the boundaries of observability.
- Troubleshoot SDK Implementations: Go deep into the source code of Sentry’s SDKs to help developers instrument complex frameworks and custom environments.
- Engineering Feedback Loop: Serve as the bridge between the world's best developers and our product teams, using data from your systems to prioritize high-impact platform fixes.
Engineer Agentic Operations (The Scaling Engine)
- Deterministic Support Paths: Engineer the logic that powers our support agents, moving beyond probabilistic guesses to high-fidelity, autonomous resolutions.
- Knowledge Engineering: Build the right context into our systems so they can resolve issues consistently and indefinitely.
- Agentic Tooling Development: Use MCP (Model Context Protocol) and Sentry’s internal APIs to build "skills" for our agents, allowing them to perform complex lookups or state-checks autonomously.
- The Seer Philosophy: We’ve already proven AI can handle autonomous production fixes with Seer. You will apply that same philosophy to the support lifecycle—moving us from a "Help Desk" to an "Autonomous Resolution Engine."
YOU’LL LOVE THIS JOB IF
- You love eliminating Non-scalable effort: you enjoy automating repetitive work and take pride in building systems that save time and effort.
- You’re a Full-Stack Troubleshooter: You enjoy jumping from a React frontend issue to a Python backend trace to a CI/CD pipeline failure in a single afternoon
- You Value Evidence-Based Support: You prefer looking at data trends over anecdotal evidence to decide where to build automation next.
- You’re a Developer Advocate: You want to guide the industry on how elite engineers and AI co-exist in a high-density technical ecosystem.
QUALIFICATIONS
- 4+ years of experience in technical support engineering, systems engineering, or software development, with a track record of solving high-complexity SaaS problems.
- Strong Coding Foundations: Mastery of Python, JavaScript, Java, or Ruby. You are comfortable reading SDK source code and identifying bugs in production-level repositories.
- Systems Depth: Deep understanding of distributed systems, microservices, APIs, and the "path of a pixel" from frontend to database.
- AI & Automation Literacy: Practical familiarity with LLM orchestration (RAG, context windows, system prompts) and a critical eye for where AI succeeds versus where it requires human intervention.
- Exceptional Communication: The ability to explain complex architectural concepts to a human and write precise "system instructions" for an AI.
BONUS QUALIFICATIONS
- Open Source Contributor: An active presence on GitHub or experience maintaining open-source libraries.
- Former Software Developer: You’ve spent time in the trenches as a full-time dev and know exactly what keeps our customers up at night.
The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $100,000 to $125,000 CAD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Location: Remote (USA)
Workplace: remote
Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.
We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.
For more information, visit arcadia.io.
Why This Role Is Important to Arcadia
Healthcare is entering a new era where AI can fundamentally transform how organizations understand populations, improve outcomes, reduce administrative burden, and deliver better experiences for patients and providers. Arcadia is uniquely positioned at the intersection of healthcare data, analytics, and workflow intelligence to bring these capabilities to market.
We are looking for a Principal Product Manager, AI Products to help define and deliver the next generation of AI-powered healthcare solutions. This leader will own critical product investments that leverage generative AI, advanced analytics, and intelligent automation to solve meaningful customer problems and create measurable business value.
Principal Product Managers at Arcadia are builders, operators, and end-to-end owners. They combine deep customer understanding, strong technical fluency, and relentless execution to bring innovative products from concept to customer adoption. They operate with significant autonomy, influence company strategy through product outcomes, and are accountable for delivering enterprise-grade capabilities that customers trust and depend on.
This role is ideal for product leaders who thrive in fast-moving environments, can translate emerging AI technologies into real-world customer value, and are energized by shipping products rather than managing process.
Success is measured by products delivered, customer outcomes achieved, business impact created, and the ability to establish yourself as a trusted expert with customers and cross-functional partners.
What Success Looks Like
In 3 months
Develop working expertise in Arcadia’s platform architecture, customer workflows, AI strategy, and data ecosystem
Identify and prioritize high-impact product opportunities within assigned domain ownership
Ship at least one meaningful customer-facing enhancement or production capability
Demonstrate the ability to independently navigate ambiguity and drive product decisions to execution
In 6 months
What You'll Be Doing
Own the end-to-end lifecycle of AI-powered product capabilities from concept through customer adoption and measurable business impact
Deliver enterprise-grade generative AI products and workflow automation capabilities into production environments at scale
Work directly with customers to understand operational challenges, validate product direction, and ensure solutions address real-world healthcare workflows
Translate advances in AI, LLMs, agentic systems, retrieval architectures, and analytics into practical customer solutions
Partner closely with Engineering, Data Science, Customer Success, and GTM teams to ensure products are successfully adopted and deliver measurable value
Drive roadmap decisions using customer needs, technical realities, business objectives, and market opportunities
Own product success metrics tied to customer adoption, revenue growth, operational efficiency, and business outcomes
Act as the accountable owner for shipping high-quality products on a predictable cadence
Mentor and elevate product management practices across the broader Product organization
What You'll Bring
Education
Bachelor’s degree required; advanced degree in business, computer science, engineering, healthcare, data science, AI/ML, or a related field preferred
Experience
12+ years in enterprise SaaS, platform products, AI-enabled products, data products, or similarly complex technical environments; bonus if experience includes healthcare environments
Experience building and scaling enterprise-grade AI, machine learning, or generative AI products
Experience delivering products powered by LLMs, agentic systems, retrieval-augmented generation (RAG), intelligent automation, predictive analytics, or similar AI technologies
Proven track record shipping products used by enterprise customers at scale
Experience defining and delivering products tied to measurable business outcomes and revenue impact
Experience owning products with measurable commercial outcomes, including adoption, retention, growth, or revenue objectives
Demonstrable understanding of how product decisions connect to business performance and customer value realization
Experience partnering closely with Engineering and GTM organizations to successfully bring products to market
Technical Fluency
Strong technical fluency across modern AI systems, including generative AI, LLMs, retrieval architectures (RAG), intelligent automation, model evaluation, and AI governance
Ability to engage deeply with engineering teams on architecture, implementation tradeoffs, and production deployment decisions
Qualities
Highly autonomous operator with strong ownership mentality and executive presence
Collaborative leader capable of influencing across Product, Engineering, Analytics, and Executive teams
Demonstrated ability to create clarity, structure, and momentum in ambiguous problem spaces
Practiced in building new products, processes, and operating models from the ground up
Strong ownership orientation with a bias toward action and execution
Skills
Exceptional product strategy, prioritization, communication, and execution leadership
Strong analytical and technical fluency, including ability to navigate complex platform and AI-enabled product discussions
Ability to translate customer, operational, and business needs into scalable product direction and measurable outcomes
What You'll Get
The opportunity to shape the future of AI-enabled healthcare products and platform innovation at scale
Significant influence over strategic product direction, organizational maturity, and next-generation customer experiences
The opportunity to solve some of healthcare’s most complex operational, clinical, and data challenges alongside exceptionally talented cross-functional teams
A highly visible role with meaningful executive partnership and organizational impact
The ability to help define how AI, automation, analytics, and workflow transformation reshape healthcare delivery and operations
Be a part of a mission driven company that is transforming the healthcare industry by changing the way patients receive care
A flexible, remote friendly company with personality and heart
Employee driven programs and initiatives for personal and professional development
Become a member of the talented, energized, diverse and purpose-driven Arcadian Community
About Arcadia
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.
Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.
Location: Canada; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
Docker is shipping a wave of new products this year, with R&D initiatives likely to lead to more, and we're investing heavily in the platform underneath all of it. That platform supports hundreds of engineers across many development teams and carries high-scale production traffic and data transfer every day. It has grown faster than its foundations, and this year is about closing that gap.
Today, much of that work still leans on a handful of experts unblocking the same provisioning and operational workflows by hand. The top priority for this role is moving that work from expert-driven support to paved roads: self-service systems with clear ownership, safe defaults, strong guardrails, and adoption we can measure. The goal is a platform teams trust enough to stop thinking about it, one that just works, so they can focus on their own products instead of ours.
The concrete version sits on this year's roadmap: spinning up a new global region or application environment should take hours, not days. Right now it takes days. Getting there means building the foundations underneath it. We need a real multi-region, cross-account network architecture and a testing and continuous-deployment flow teams can trust, then a self-service layer on top.
We're the container company building our own internal platform, so the bar for "the easy path is also the safe path" is high. You'd be joining a team of four, growing to seven this year (this is one of those hires), and we're looking for a Staff engineer to set technical direction and lead it through real production adoption.
RESPONSIBILITIES
This is a Staff-level role, so success is measured by leverage rather than just your own commits. On a team this size you'll stay hands-on in the codebase while also setting direction, aligning teams on pragmatic standards, and carrying platform investments through to adoption. Concretely, you will:
- Take ambiguous infrastructure problems and turn them into proposals the org can rally around, then drive them through RFCs and architecture reviews across teams.
- Design self-service capabilities and platform APIs (primarily in Go) for onboarding, provisioning, deployment, observability defaults, and day-2 operations, with contracts and docs teams actually use.
- Set delivery standards using Terraform, GitOps with Argo CD, progressive rollout, and good testing, including building the continuous-deployment flow we're missing today.
- Evolve the multi-tenant EKS foundations toward better reliability, security, scale, and cost: Envoy Gateway ingress, traffic routing, and the multi-region, cross-account connectivity we need.
- Improve SLOs, alerting, and incident follow-up on Grafana Cloud so production gets safer and less dependent on heroics.
We judge this work by outcomes the consuming teams feel: how fast they can provision and ship, how much they can do without us, and how reliably it all runs.
AI-ASSISTED OPERATIONS
We're actively investing in AI-assisted and agentic workflows to cut operational toil. We care that they stay safe, auditable, and human-reviewed. You'll help shape where these earn their place and where they don't. Early targets include:
- Alert enrichment and incident context-gathering: assembling the relevant signals, history, and runbook so the on-call engineer starts with context instead of a blank page.
- Runbook-assisted diagnosis and remediation recommendations, with a human in the loop on anything that changes production.
- Onboarding and readiness assistants that answer the questions our experts answer today.
If you've built operational automation and have a healthy skepticism about where automation belongs, this is a place to put both to work.
On-call
Operational ownership is part of the job. You'll join the rotation after onboarding and shadowing. As a Staff engineer, you'll also improve the health of on-call itself, with better alerts, stronger runbooks, less toil, and blameless postmortems aimed at prevention.
QUALIFICATIONS
- 8+ years of professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineering.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Strong software engineering in Go or a similar language: design, testing, debugging, review, long-term maintainability.
- A track record designing, shipping, and operating cloud services or infrastructure platforms in production. We hire for skill and impact, not years.
- Deep expertise in at least one of: Kubernetes, networking, cloud platforms, reliability engineering, or developer platforms, plus solid Linux, networking, and production-ops fundamentals.
- Experience setting technical direction and leading work that needs cross-team alignment.
- Clear written and verbal communication in a remote environment (RFCs, design docs, incident writeups).
Nice to have: EKS and ingress/CNI/service-mesh experience; observability with OpenTelemetry/Prometheus/Grafana; CI/CD and progressive delivery (GitHub Actions, Argo CD, canaries); experience leading migrations or adoption programs across teams.
You don't need every item here. We value deep expertise in one area, strong systems judgment, and curiosity across the rest.
WHAT TO EXPECT
FIRST 30 DAYS
- Build context, meet partner teams, ship your first change, shadow on-call.
FIRST 90 DAYS
- Own a strategic platform problem with a clear plan and metrics; lead an improvement from design to production.
ONE YEAR OUTLOOK
- Lead a major cross-team initiative (for example, self-service provisioning of new regions and environments, or the multi-region networking and CD foundations behind it) and establish durable patterns that change how Docker engineers build and operate services.
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
Canada: CA$238,250 – CA$382,250 + equity
United States: $170,350 – $275,550 + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: Barcelona, Spain
Workplace: hybrid
⚓ About Click&Boat
Click&Boat is a rental platform product of Boats Group, the fastest-growing digital business in the recreational boating space. We are a talented team of techies, creatives, marketers, closers and customer advocates who spend each day pushing the boundaries of technology to make buying, selling & renting boats easy. We spend each day surrounded by 500,000 boats from across the globe!
Click&Boat is the European leader in boat rentals. Our marketplace makes boating accessible around the world, from a day trip to a week-long adventure, while enabling private and professional boat owners to generate additional income through rentals.
To support this growth, we are hiring a
Sales Executive
to join our dynamic team in Barcelona and contribute to delivering tailor-made boating experiences to our French speaking clients.
🚤 The role
We’re looking for a
Sales Executive
to join our crew in Barcelona.
In this role, you will play a key part in the French Market of the Sales Team, a business unit of around 40 people,
managing French-speaking clients interested in booking boat rentals.
You’ll also work closely with
the Supply and Customer Care crew members
to deliver a seamless and high-quality experience to our users.
If you're excited about marketplaces, fast-paced environments, and building meaningful solutions, you might be exactly who we’re looking for.
🛟 What floats your boat
You will be responsible for the following tasks, which will vary according to the time of the year:
Understanding our customers' needs and advising them on their boat search.
Find the best deals for our customers by negotiating the best options with Click&Boat boat owners.
No cold calling, only warm leads already in your pipeline.
Maximizing the conversion rate by applying Sales strategies, and accompanying customers throughout the sales process until its conclusion, providing them with all the information relating to their booking.
Ensuring customer satisfaction and loyalty so that they think of Click&Boat the next time they go sailing.
You will have a reachable annual target, which may be distributed on a monthly and/or four-monthly basis.
Over-performance is rewarded
.
To maximize the reactivity and customer satisfaction, we are used to working on Saturdays. You will be required to work at least one Saturday per month following a planning given in advance (you will get a recuperation day off then to ensure 2 days off per week).
🧭 What you bring aboard
You are a
native French and fluent in English
.
Ideally with one or two years
of previous successful working experience in Sales.
You manage
autonomously your entire Sales cycle,
from the understanding of the need to the closing and the upsell of the client.
You are a team player who inspires trust, is ready to take the initiative, and is distinguished by a customer-satisfaction-driven attitude.
🌊 Bonus points (great to have, never a dealbreaker)
The knowledge of another language is highly valued.
If you have a boating background and interest, it’s even more perfect!
🗺 The hiring journey
Intro call with Talent Acquisition
Interview with your future manager
Final chat with our VP Sales and COO
We aim to keep things smooth, transparent, and respectful of your time throughout the process.
What awaits you aboard
🚀 A fast-growing international company with real impact;
💻 Remote work policy: 1 day per week, depending on periods of the year and seniority;
🌴 5 additional days off;
📖 Extensive internal training;
🥪 Lunch vouchers (Cobee);
💪 Gym partnerships (Wellhub);
🚤 Boat licence offered and exclusive discounts on your next boat trips;
🥐 Breakfast every Tuesday morning;
🌊 A welcoming office in Barcelona, next to the centrally located Cathedral and just a 20-minute walk from the sea;
🎉 Team-building activities.
Full-time contract starting January 11th, 2027.
The
starting compensation package
is
30k€
, including an
uncapped variable component
representing
20%
of the target package. The final package may vary depending on experience.
🪝 Ready to come aboard?
If this opportunity sounds like your next adventure, hit "apply to this job".
At Click&Boat, every application is reviewed with equal care and attention, strictly based on merit and regardless of age, gender, origin, disability, religion, sexual orientation, or any other characteristic.
We are committed to an inclusive process and will provide reasonable accommodations upon request during both selection and employment — because we hire for talent, drive, and mindset, and the sea is open to all.
🌊
Location: NYC (SoHo)
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
About the Role
Replit is experiencing extraordinary growth across our customer base and seeking a Mid-Market Account Manager with strong communication skills to drive retention, expansion, and customer success. Candidates with Customer Success or Account Management experience in SaaS, particularly with some technical background (i.e. having some coding knowledge or prior experience at other developer tool companies) are ideal.
We believe this role offers a distinctive opportunity for people who excel in client-facing situations and have a passion for customer success and AI. You'll leverage your skills to help customers maximize value from Replit's platform while driving sustainable revenue growth.
In this role you will:
- Serve as the primary relationship owner for your assigned customer portfolio, ensuring high satisfaction and retention
- Champion customer success by helping businesses realize the transformative potential of AI-powered software creation
- Lead onboarding programs that accelerate customer time-to-value and platform adoption
- Guide customers through Replit's rapidly evolving feature set, including Agent 3's autonomous capabilities, Plan Mode, and automation tools
- Execute renewal processes with a focus on expansion and long-term partnership development
- Maintain accurate customer health scores and renewal forecasting data in Replit's CRM (Hubspot)
- Gather and communicate valuable customer feedback, championing their interests within Replit
- Optimize customers' use of the Replit platform through ongoing training, support, and strategic guidance
Required skills and experience:
- 3-5+ years of experience in Customer Success, Commercial Account Management, or technical sales role, preferably in SaaS or developer tools
- Excellent communication skills, with the ability to explain technical concepts to non-technical audiences
- Proven track record of meeting or exceeding renewal and expansion revenue targets
- Experience managing customer relationships from onboarding through renewal and expansion
- Proficiency in using CRM systems and customer success tools (e.g., Hubspot)
- Ability to quickly learn and articulate the value of new technologies to diverse customer segments
- Strong problem-solving skills and consultative approach to customer challenges
- Self-motivated with excellent time management and organizational skills for managing multiple accounts
- Passion for technology and staying current with industry trends, particularly AI and automation
- Experience with or strong interest in AI is a plus
- Comfort with data analysis to drive customer success metrics and identify growth opportunities
Nice to have:
- You're an active Replit user
- You've worked at an early-stage startup or in developer tools
- Experience with rapid prototyping, product development workflows, or business process automation
- Background in customer success at companies serving technical or semi-technical user bases
- Degree in Computer Science, Engineering, Business, or a related field (or equivalent practical experience)
Tools + Tech Stack for this role:
- Replit
- Hubspot CRM
- Customer success and analytics platforms
- ZoomInfo
- LinkedIn Sales Navigator
- Hashboard, Hex
- Various customer communication and project management tools
This role may not be a fit if:
- You're not passionate about helping customers succeed and driving long-term relationships
- You lack an understanding of the software development lifecycle or have little interest in learning about technical workflows
- You're not excited about AI and its potential to transform how businesses operate
- You don't enjoy being in client-facing roles where 80% of your day is talking to customers
- You prefer transactional interactions over building deep, strategic relationship
This is a full-time role that can be held from our NYC office. This role has an in-office requirement.
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Location: New York HQ; Santa Barbara, CA
Workplace: OnSite
ABOUT AVOCA
Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers.
We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office.
In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact.
ABOUT THE ROLE
As an Implementation Manager at Avoca, you'll own post-sales onboarding for our customers, serving as a hybrid of product expert, hands-on technical consultant, and project manager. You'll get into the technical details of home service companies, advising on integrations, AI prompt configurations, and product setup to ensure every implementation achieves client goals, hits time-to-value targets, and delivers an exceptional experience.
This is a highly cross-functional, client-facing role. You'll partner closely with CS, Sales, Product, and Engineering while managing multiple implementations simultaneously, balancing hands-on execution with strategic guidance.
WHAT YOU’LL DO
- Lead end-to-end implementations, owning project management, stakeholder communication, and client accountability from kickoff through go-live.
- Gather and document client business requirements and translate them into clear technical specifications that achieve customer goals through product expertise and best practices.
- Configure and iterate on prompting and workflows to drive call handling quality, conversion rates, and revenue impact.
- Partner with Product and Engineering to stay current on new features and build repeatable implementation playbooks and scalable success frameworks.
- Design and deliver tailored training and education on Avoca products to drive client proficiency and product adoption.
- Lead testing efforts including configuration QA, client testing coordination, and issue triage and resolution to ensure high-quality deployments.
- Provide go-live support by coordinating launch activities, monitoring production volume, and transitioning clients to post-launch teams seamlessly.
- Advocate for product improvements that matter most to implementation clients.
- Requires flexibility to travel to client sites.
WHAT YOU'LL BRING
- 2-5 years working at B2B startups in software implementation, technical account management, solutions architecture, or technical customer success, or more than 4 years of overall experience.
- Demonstrated fluency with APIs, webhooks, and integration patterns, including the ability to read and discuss payloads, auth models, and error handling.
- Experience configuring prompting, workflow logic, and system integrations in AI, SaaS, or enterprise software contexts.
- Strong project management skills with experience managing multiple concurrent software delivery projects for B2B clients.
- Clear, direct communicator who can simplify complexity for both technical and non-technical audiences.
- Self-motivated and comfortable operating in fast-moving, high-growth environments, with a track record of owning processes end-to-end.
WHO YOU ARE
- Self-motivated, entrepreneurial, and comfortable operating in fast-moving, high-growth environments.
- Thrives on owning processes end-to-end and balancing multiple initiatives simultaneously.
- Autonomous, self-directed, and comfortable working with ambiguity.
- A proactive and effective communicator.
- Collaborative, organized, and efficient.
- Eager to work in person at our NYC or Santa Barbara office full-time.
BENEFITS
- Comprehensive medical, dental, and vision insurance
- Company-sponsored 401(k) through Vestwell
- Flexible PTO plus U.S. federal holidays
- Company-wide off-sites
- Monthly wellness stipend
- Daily in-office lunch through Parkday
- Dinner covered when working late
- Commuter benefits and late-night rideshare
- Standing desks and workspace accommodations available on request
- All core tools and software provided
Compensation: The expected base salary for this role is $130,000-$170,000 with final compensation based on experience, skills, and qualifications determined during the interview process. Avoca’s total compensation package includes base salary, bonus, equity, and a comprehensive suite of benefits and perks. Our Recruiting team will share the full details as you progress through our hiring process.
WHY AVOCA
At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact.
Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
Location: UK, London
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're hiring a Senior Autonomy Engineer focused on SLAM & Navigation to join our team. In this role, you will bridge the gap between classical spatial geometry and next-generation AI. You will lead the design and development of robust state estimation, long-term mapping, and localisation loops, with a specific focus on integrating modern machine learning techniques and foundation geometry models into our core navigation stack. Your work will ensure our robots possess rock-solid spatial awareness and execute highly reliable trajectories over extended deployments in complex, real-world environments.
WHAT YOU'LL DO
- Design and scale robust SLAM pipelines that maintain highly accurate localisation and state estimation across dynamic physical spaces.
- Integrate foundation geometry models and modern ML techniques into the localisation loop to enhance traditional spatial tracking, data association, and visual odometry.
- Architect and maintain robust long-term mapping systems that enable robots to autonomously update, manage, and scale spatial maps across changing environments over time.
- Build and scale auto-labeling data pipelines that leverage foundation geometry models to generate high-fidelity spatial ground truth for downstream ML training.
- Bridge classical geometry with deep learning architectures, building hybrid systems that map raw sensor data into globally consistent metric trajectories.
- Deploy and benchmark spatial AI software directly on physical robot hardware, ensuring deterministic, ultra-low latency execution on edge compute.
- Translate cutting-edge spatial AI research into production reality, continuously evaluating breakthroughs in geometric learning to guide our navigation roadmap.
WHAT WE'RE LOOKING FOR
- Deep expertise in classical SLAM and multi-view geometry, including extensive hands-on experience with state estimation, visual/LiDAR odometry, and multi-sensor fusion.
- Experience handling backend map optimization and solving the unique structural challenges associated with long-term mapping in large or changing physical environments.
- Practical experience applying modern ML to geometric problems, with exposure to utilizing or adapting newer foundation geometry models.
- Proven ability to build scalable data pipelines or auto-labeling workflows tailored for geometric and spatial datasets.
- Proficiency in C++ and Python, with a track record of writing clean, highly parallelized, production-grade algorithmic code.
- Hands-on experience deploying navigation systems on physical hardware, with a deep understanding of the practical edge constraints of real-world robotics.
- A research-to-production mindset, capable of tearing through the latest CVPR/ICRA papers and figuring out exactly how to make those models run with bulletproof reliability.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: South Africa
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech.
Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for a relentless, strategic, and entrepreneurial Founding Sales Development Representative to build the bedrock of our outbound engine. As the first dedicated SDR hire, you won’t just be following a playbook—you will be writing it. You will work directly with the leadership team to define our market approach, experiment with messaging, and scale our presence within the B2B tech landscape. This is a high-impact role designed for a "builder" who thrives in the ambiguity of an early-stage environment and is hungry to transition into a leadership or senior sales role as the company grows.
Key Responsibilities
Own the end-to-end top-of-funnel strategy, from lead generation and prospecting to qualifying and booking initial meetings.
Design, test, and iterate on multi-channel outbound sequences (email, LinkedIn, phone, and creative video) to engage our Ideal Customer Profile.
Partner with the founding team to refine value propositions and product-market fit based on real-time prospect feedback.
Manage and maintain a clean CRM pipeline, ensuring accurate forecasting and data integrity.
Identify high-value accounts and map out key stakeholders within target organizations.
Help select and implement the sales tech stack required to automate and scale outreach efforts.
Requirements
Proven track record as an SDR within a B2B SaaS or high-growth tech environment.
Previous experience as a Founding SDR or an early hire at a seed/Series A startup.
Mastery of modern outbound sales tools (e.g., Apollo, Outreach, Salesloft, LinkedIn Sales Navigator).
Exceptional written and verbal communication skills with the ability to distill complex technical concepts into compelling value props.
A "hunter" mentality with a bias toward action and a high degree of resilience.
Proven ability to work autonomously and manage your own time effectively in a fast-paced environment.
Direct experience selling AI-driven software or developer tools.
Experience in "full-cycle" sales or closing small deals.
Basic understanding of data analytics or technical infrastructure.
Previous success in a remote-first work environment.
Benefits
🌎 Fully remote role with flexible working hours
🚀 Work with high-growth international companies
📈 Clear career progression to Account Executive and beyond
🎯 Performance-based bonuses and incentives
🤝 Direct hire with global clients (not outsourced)
🧠 Ongoing training, mentorship, and sales development support
Location: Seattle, WA
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE TEAM
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
ABOUT THE ROLE
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
WHAT YOU’LL DO
- Co-architect and co-build production AI agents with customer engineering teams
- Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
- Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
- Advise customers post-sale on architecture, best practices, and roadmap-level decisions
- Run technical demos, trainings, and workshops for developer audiences
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
- Occasionally contribute code upstream when it meaningfully improves customer outcomes
WHAT YOU’LL BRING
- 5+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
- Strong Python, JavaScript and systems fundamentals
- Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
- Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
- Can explain technical tradeoffs clearly and build trust with developer audiences
- Take responsibility for outcomes, not just recommendations
- Have a bias toward action and enjoy figuring things out as you go
- Are excited about operating AI agents in production, not just building demos
NICE TO HAVE’S:
- You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
- Worked with LLM evaluation, observability, or guardrails
- Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
- Have shipped and operated production software and are comfortable owning systems under real-world constraints
COMPENSATION
Annual OTE range: $165,000–$380,000 USD
Looking for a hands-on implementation role focused on custom delivery, bespoke integrations, and scoped consulting projects? Please check out the Deployed Engineer (Professional Services) roles.
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: South Africa
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team.
About the company
Our client is a results-driven marketing agency specializing in reputation management and AI visibility for the automotive and medical sectors. The team serves as a fractional marketing powerhouse for high-growth operators, focusing on the intersection of search discovery and consumer trust. By moving beyond traditional advertising, they provide a comprehensive system that monitors reputation, optimizes brand signals for AI-driven search, and executes high-impact strategy.
Job Summary
This is a high-impact, autonomous role for a seasoned sales professional who thrives on owning the entire revenue cycle. This digital marketing agency, a leader within the automotive and collision repair sectors, is poised for aggressive expansion into new verticals. We are looking for a "hunter" who combines strategic depth with a relentless drive to build a pipeline from scratch. You will not just be closing deals; you will be a key architect of the agency’s growth, identifying new market opportunities, cultivating long-term referral partnerships, and leveraging cutting-edge AI tools to scale your impact.
Key Responsibilities
Identify and research high-potential clients through multi-channel outreach, industry events, and strategic partnerships.
Own the full sales lifecycle, from initial cold outreach and discovery to proposal development, negotiation, and closing.
Lead deep-dive discovery calls to uncover prospect pain points and articulate tailored marketing solutions that drive ROI.
Manage and maintain a meticulous pipeline within HubSpot, ensuring accurate forecasting and high data integrity.
Collaborate closely with the Growth & Revenue Director to align sales strategies with the agency’s expansion goals.
Facilitate seamless handoffs to the delivery team post-close, acting as the client’s internal advocate to ensure long-term satisfaction.
Build and nurture a network of referral partners and complementary agencies to diversify lead sources.
Actively integrate AI tools into the sales workflow to enhance productivity and outreach personalization.
Requirements
5+ years of B2B sales experience, specifically within a digital marketing agency or a closely related professional services environment.
Proven track record of full-cycle sales ownership, with documented success in meeting or exceeding revenue quotas.
Mastery of the discovery process, with the ability to move beyond generic pitching to value-based selling.
Advanced proficiency in HubSpot CRM (or equivalent) with a disciplined approach to pipeline management.
Excellent presentation and communication skills, capable of commanding a room and tailoring messages to business owners.
A proactive approach to technology, with genuine comfort and experience using AI tools to optimize sales workflows.
South African based with a focus on regional market dynamics.
Nice-to-Haves
Experience selling retainer-based or recurring revenue service models.
Familiarity with the automotive aftermarket or collision repair industries.
Background in developing or executing Go-to-Market (GTM) strategies for new territories or verticals.
An existing network of professional contacts or referral partners.
Foundational knowledge of core digital marketing channels including SEO, SEM, paid social, and content strategy.
Benefits
💰 Competitive salary and performance-based incentives
🌎 Fully remote work environment
🚀 High levels of autonomy and ownership
📈 Opportunity to lead expansion into new industry verticals
🤖 Exposure to an AI-forward sales culture
🎯 Long-term career growth in a scaling agency environment
Location: Hybrid (San Francisco, CA); Hybrid (New York, NY)
Workplace: Hybrid
ABOUT CLIPBOARD
Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S.
Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities.
THE ROLE
Clipboard https://www.clipboardworks.com/ is a Sequoia-backed marketplace connecting nurses and healthcare professionals with long-term care facilities, facilitating over 3 million shifts per year. We're hiring Senior Product Managers to own core domains of the marketplace. Think pricing, matching, reliability, facility onboarding; all the systems the business runs on!
THE WORK
You'll be running a domain where the right answer changes as the marketplace changes, and where your mental model and prioritization are the single most valuable artifact your team has. You will:
- Build the mental model. Grounded in customer conversations, support tickets, Salesforce, and our own data.
- Pick the metrics. The ones that tell you and the org whether you're serving that customer well. When the right metric doesn't exist, you say so and propose the best proxy, limitations stated.
- Steward the improvements. Research, experiments, core flow changes, technical investments. An excellent PM here doesn’t just move metrics, they make prioritization calls that compound.
All of this gets written down and shared constantly. A one-page mental model your team can reference without you in the room. A monthly check-in. Enough visibility that engineers make autonomous decisions and leadership can push back at "is this the right bet" rather than "what's the bet." You'll work alongside an Applied Science https://jobs.ashbyhq.com/clipboard?departmentId=b0a8f86a-7e03-4cd1-a204-deafbabf7893 team that owns the quantitative infrastructure your domain depends on: pricing algorithms, causal models, experiment frameworks.
MINIMUM REQUIREMENTS
- 6+ years of product management, with experience in marketplaces preferred
- You can query data yourself (SQL or equivalent)
- You've shipped meaningful features on a small, fast-moving team
- You write clearly and often
- Ability to work 2-3 days per week out of either our NYC or San Francisco office
WHO THRIVES HERE
- Extreme ownership: the buck stops with you regardless of what anyone else did or didn't do.
- Extreme curiosity: you ask "why" five times on the same problem before you're satisfied.
- You hold a clear point of view and update it visibly when the data disagrees.
- Background in marketplace product, ops research, or operating roles at fast-scaling startups is a strong signal.
INTERVIEW PROCESS:
1. Case Study via MeritFirst
2. Case Study Interview
3. Cross-functional Interview
4. CPO Interview
5. Offer!
OUR VALUES LIVE HERE https://www.clipboardworks.com/resources/blog/clipboard-healths-company-values. IF THIS SOUNDS LIKE A TEAM YOU WANT TO BE ON, APPLY!
Quick Note on Scammers:
Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
As the EMEA AE Lead, Beneficial Deployments at Anthropic, you'll build and lead a foundational sales team driving Claude adoption across mission-driven organisations in Europe, the Middle East, and Africa. You'll leverage your consultative sales expertise and passion for social impact to secure strategic partnerships with nonprofits, foundations, INGOs, educational institutions, and social enterprises across the EMEA market.
This is a player-coach role requiring someone who can personally close complex deals while building a high-performing regional team. You'll operate with significant autonomy across time zones while maintaining tight alignment with global strategy. Our team and verticals are evolving rapidly—the ideal candidate thrives in ambiguity, is energised by building from scratch, and can flex across changing priorities as we learn what works.
The ideal candidate brings deep experience in the EMEA nonprofit or social impact technology landscape, established relationships with mission-driven institutions, and a proven track record of building teams that drive revenue and mission impact simultaneously.
Role Focus
This role will lead EMEA sales efforts across Beneficial Deployments verticals, which currently include:
Nonprofits & Foundations:
INGOs, charitable trusts, foundations, and social enterprises across Europe, Middle East, and Africa. Navigate federated organisational structures, EU/UK regulatory requirements, and diverse funding mechanisms.
Emerging Markets:
Partnerships in Africa and India with organisations driving social impact at scale.
Note: Verticals and priorities may evolve as the team learns and grows. We're looking for someone comfortable with a shifting remit who can help shape what this role becomes.
Responsibilities
Win new business and drive revenue for Anthropic within EMEA mission-driven organisations. Navigate complex multi-stakeholder ecosystems to reach decision-makers, educate them about Claude, and help them succeed with Anthropic
Build and lead a regional team supporting EMEA customers, both inbound and outbound. Establish team structure, hiring priorities, and operational processes for scaling—while rolling up your sleeves to close deals yourself
Design and execute innovative sales strategies tailored to diverse EMEA contexts: nonprofit budget cycles and grant timelines, foundation giving patterns, and varying regulatory environments across jurisdictions
Navigate complex stakeholder ecosystems including INGO executive teams, foundation programme officers, trustees, executive directors, and IT departments to build consensus
Develop and maintain relationships with key EMEA ecosystem players: nonprofit networks (Bond, NCVO, European Foundation Centre), education networks, and implementation partners
Inform product roadmaps by gathering feedback from EMEA nonprofit and education users. Provide insights on regional requirements including data sovereignty, language support, and compliance needs
Continuously refine the EMEA sales methodology by incorporating learnings into playbooks, templates, and best practices. Adapt global processes for regional contexts while contributing insights back to the global team
Ensure all sales activities comply with relevant data protection regulations (GDPR, UK GDPR) and address customer concerns about data sovereignty, AI ethics, and responsible deployment
Partner effectively with SF-based teams across time zones, maintaining regular cadence with the Beneficial Deployments Lead and cross-functional stakeholders while operating with significant regional autonomy
Help shape team processes and culture as we scale from 1 to N
You May Be a Good Fit If You Have
8+ years of B2B sales experience in nonprofit technology, EdTech, or social impact sectors, preferably in EMEA SaaS or emerging technologies
Track record of managing complex sales cycles within nonprofits, INGOs, foundations, or educational institutions, securing strategic deals by understanding both mission requirements and technical needs
Experience building and scaling sales teams, with proven ability to recruit, develop, and retain top talent while operating across multiple time zones and cultural contexts
Deep understanding of nonprofit or education sector operations, including INGO federated structures, European foundation giving, UK charity sector dynamics, and/or higher education procurement
Demonstrated ability to navigate diverse stakeholder ecosystems including trustees, executive directors, programme officers, and procurement committees
A scrappy mentality—comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission
Strong understanding of GDPR and UK data protection, with ability to address customer concerns about AI ethics and responsible deployment
Proven experience exceeding revenue targets while operating autonomously, managing an evolving pipeline across multiple market segments and time zones
Excellent communication skills with ability to adapt style across cultural contexts
Fluency in English required; proficiency in French valued given Francophone Africa coverage; additional European languages a plus
A genuine passion for social impact and experience with or commitment to advancing mission-driven work through technology
Strong Candidates May Also Have
Active involvement in the EMEA nonprofit or education community through board service, advisory roles, or sector leadership
Existing relationships with major INGOs (Save the Children, Oxfam, IRC, MSF, CARE, World Vision), foundations, or educational institutions
Familiarity with nonprofit data privacy requirements, AI ethics frameworks, and responsible technology deployment
Track record of building strategic partnerships with foundations or philanthropic advisors
Experience presenting at nonprofit conferences (Bond Conference, NCVO Conference, Skoll World Forum) or education forums
Understanding of specific verticals: education technology, digital health, financial inclusion/economic mobility programs
Logistics
Location:
London. Must be able to travel within EMEA (up to 30%) and to SF headquarters quarterly.
Travel:
Regular travel within EMEA for customer meetings, conferences, and team gatherings; quarterly travel to SF for alignment and planning.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£280,000
—
£330,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
seniorHybrid - Riyadh, Saudi Arabia
ГибридseniorParis, France; Lyon, France; Marseille, France; Bordeaux, France
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London, UK; You'll operate with significant autonomy across time zones while maintaining tight alignment with global strategy; Partner effectively with SF-based teams across time zones, maintaining regular cadence with the Beneficial Deployments Lead and cross-functional stakeholders while operating with significant regional autonomy; Experience building and scaling sales teams, with proven ability to recruit, develop, and retain top talent while operating across multiple time zones and cultural contexts; Proven experience exceeding revenue targets while operating autonomously, managing an evolving pipeline across multiple market segments and time zones