Вакансии

Location: Boston, MA; Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY; Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Corporate Systems team runs the core collaboration platforms everyone here works in and builds the tooling and automation behind IT. That responsibility extends to the companies we acquire. Their people, devices, and systems have to come into Anthropic securely. You'll own the IT side of Anthropic's acquisitions: due diligence, integration planning, and integration. Before close, you'll assess a company's IT environment and give the deal team a clear read on risk and effort. You'll define the technical integration plan and its requirements: what moves, where it lands, in what order, what has to be ready on day one, and how each security gap gets closed. After close, you'll carry out that plan and bring the company's people, devices, and systems onto our stack. This is a hands-on engineering role. You'll hold admin, write code, build automation, run the cutovers yourself and bring in other teams when the work calls for their expertise or support. You'll lead this work for IT Engineering and partner with Security, Corporate Development, Legal, People, and Finance at every stage. M&A will be your primary focus and responsibility, but you'll be a full member of the Corporate Systems team;  taking part in planning and reviews, using and contributing to the team’s tooling, and contributing to the roadmap. Early on, M&A will be most of your work, including using Claude to automate the repeatable parts of diligence and integration. As that automation matures, and when M&A load is light, you'll contribute to other parts of the team’s roadmap. Responsibilities Lead technical IT due diligence: assess a company's identity, applications, endpoints, and infrastructure, and brief the deal team on risk and effort before close Find the gaps between an acquired environment and Anthropic's security model, rate them, and build the mitigations into the integration plan Define the technical integration plan and its requirements: what moves, where it lands, in what order, and what has to be ready on day one Run the integration: take over administration, migrate people, devices, and data, and retire what's no longer needed, with support from other IT Engineering teams as required. Work with Business Technology, Client Platform, Corporate Network, IT Operations, and Security on their parts of each integration Keep Corporate Development, Legal, People, Finance, and the acquired company's team clear on where IT stands Build a repeatable IT M&A playbook and automate as much of it as possible with Claude When M&A work is light, contribute to core Corporate Systems projects You may be a good fit if you have 8+ years as a hands-on engineer in corporate IT. You have designed and shipped systems, carried out migrations or integrations yourself, and owned at least one area end-to-end, with experience supporting other areas: identity, applications, endpoints, or corporate infrastructure Experience administering enterprise identity and collaboration platforms such as Google Workspace, Slack, and an SSO provider, and working code in Python or similar against their SaaS APIs Working knowledge of endpoint management and security concepts, enough to lead diligence on an unfamiliar fleet A proven ability to understand an unfamiliar IT environment quickly and deliver a prioritized view of risk to non-specialists A record of leading technical projects that span several teams and run to a fixed date, while doing much of the engineering yourself Comfort working autonomously, with ambiguity and confidential information Clear communication with executives, legal and corporate development teams, and engineers at acquired companies Strong candidates may also have Prior M&A, carve-out, or company-to-company migration experience Experience across the full stack: endpoints, systems, applications, and infrastructure Hands-on experience managing a device fleet or running an MDM Experience working in or alongside a security team A record of building tooling that replaces manual IT work Using Claude or similar tools as a core part of how you work Representative projects Assess an acquired company's IT environment that nobody here has seen and produce a prioritized integration plan within days Design a way to size integration effort and risk for a company of any shape or size Automate bringing acquired people and devices onto Anthropic's identity and device management Write the IT risk memo for a live deal and present it to Corporate Development and Security leadership Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $325,000 — $360,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About 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 Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role We're looking for an Applied AI Engineer to join our Beneficial Deployments, Life Sciences team. Our goal is for Claude to close the loop on scientific discovery, and a significant part of this is helping Claude to drive scientific hardware and software. You'll help deploy the Model Hardware Standard (MHS) to labs doing the world’s most important research. You’ll scale what you learn in the field by contributing back to the standard, building scalable assets, and driving associated internal product and research direction. Responsibilities Work with labs to automate their experiments end-to-end with Claude - from advising, to prototyping, to writing production code. Drive product, engineering and research direction based on field experience - e.g. building evals to measure limitations of our models in the physical world (capabilities and safety), developing new features on MHS, etc. Scale your impact to the long tail of labs through reusable cookbooks, documentation, and other assets. Be an EMEA ambassador for Claude in the lab - you’ll both inspire and build trust with scientific audiences, from small settings to large conferences. This role will require significant travel You Might Be a Good Fit If You Have Hands-on experience connecting software to lab robots and instruments (liquid handlers, plate readers, scheduling software, LIMS), ideally in an automated lab. Strong engineering skills: you can take an LLM-powered tool from prototype to production code, and write evals to measure its performance. A scientist's instinct for how experiments work: you can spot what's worth automating, and where AI might fail or be unsafe in the physical world. Experience working directly with external customers or partners in a technical role. Clear written and verbal communication: you’ll write docs other labs can use without you and give talks that inspire and earn researchers' trust. A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission. 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: £225,000 — £255,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

— администрировать и развивать Windows/Linux-инфраструктуру; — поддерживать Multi-domain Active Directory, GPO, DNS и DHCP;

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Software Engineers, Subscriptions - Backend Deliveroo is now part of DoorDash, one of the largest online food ordering and delivery platforms in the world. As part of this role, you'll join one of our Subscriptions teams in London, focused on the core proposition and working across our three subscription programmes - DashPass, Deliveroo Plus, and Wolt+. You'll work closely with engineering teams across the US and Europe, as part of the Global Subscription organisation, to build and evolve the shared subscriptions capabilities that power loyalty and membership experiences for millions of customers worldwide. We're hiring backend engineers who want to be at the front line of what engineering looks like in the age of AI. 💡 Why Subscriptions? An AI-first team by design. We don't use AI as a productivity add-on - we treat agentic coding as a core engineering discipline. We expect our engineers to build with AI agents, to challenge what's possible when the human-in-the-loop is a multiplier rather than a bottleneck, and to push the boundaries of what a small, focused team can ship. Real ownership, real impact. Our subscription programmes are touching millions of users daily. You'll own features end-to-end - from the idea through production - and see your work matter at scale. Cross-org engineering at the frontier. Deliveroo,  DoorDash and Wolt are working together in order to align subscription experiences across three of the world's leading delivery platforms. This is engineering at the intersection of product ambition and international complexity. A small team that punches above its weight. We're a cross-functional team: Backend, Mobile, Web, Product, Design, and Data - all in the same room. No handoff theatre. You'll move fast, ship iteratively, and be around people who take craft seriously. 🤖 AI-First Engineering - What This Means Here We're building teams at the forefront of agentic coding. This isn't about using Copilot to autocomplete boilerplate. We mean engineers who: Design workflows where AI agents handle entire task loops, from spec to PR. Think in terms of orchestration: what does a human review, what does the agent own? Build internal tooling and abstractions that make AI-assisted development faster and more reliable for the whole team. Stay curious and ahead of the curve - trying new models, agents, and tools as they emerge, and forming strong opinions about what's genuinely useful vs. hype. If you find yourself naturally asking "can an agent do this?" before reaching for the keyboard, you'll fit right in. 🔍 What We're Looking For Across all roles Strong engineering fundamentals - you've built and shipped software that runs at scale, and you understand what that entails: testing, observability, reliability, and maintainability. Genuine enthusiasm for AI-first development. You use AI tools daily and have formed real opinions about how to get the most out of them. Ownership mentality: you drive projects forward, communicate clearly across teams and time zones, and don't wait to be told what to do. Collaborative instincts - the Subscriptions domain sits at the intersection of consumer mobile, web, backend, and data. Cross-functional work is the norm, not the exception. 🙌 About You You've built and shipped real software - products, platforms, APIs, apps - and you know what it takes to keep things running reliably in production. You have opinions about architecture but hold them lightly. You write tests. You read the alerts. You don't leave loose ends. What sets you apart right now is that you're genuinely excited about where engineering is going. You've been experimenting with AI agents and agentic coding workflows - not because someone told you to, but because you couldn't help yourself. You think about how to redesign your development loop from first principles, not how to bolt AI onto the way you already work. You communicate well, collaborate easily across disciplines, and care about the product as much as the code. You're the kind of engineer who asks "what's the best way to..." and then actually follows through. 🌍 Where You'll Work These roles are based in our tech hub in London. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. We’re looking for a Software Engineer to join our London team. In this role, you’ll help us build and maintain high-performance systems that power our hyper-local marketplace, ensuring a seamless experience for millions of users. This role is based in our London office with a hybrid setup, typically 3 days in the office. Get to know our Engineering team — what drives us, how we work, and what you can expect. What You’ll Be Doing You’ll be joining a multi-disciplinary engineering team focused on technical execution and collaboration. As a Software Engineer at Deliveroo, your individual work contributes to achieving goals across your team, simplifying the maintenance of production systems while ensuring operational readiness and health. Here’s what your day-to-day might look like: Design and scale backend services for our real-time marketplace using languages such as Go, Ruby, or Python. Improve code structure and architecture by participating in deep technical discussions and reviewing code across your team’s remit. Enhance system reliability by focusing on visibility, monitoring, and the overall health of production systems. Collaborate across teams to identify integration opportunities and influence the technical roadmap within your domain. Take an active role in the hiring process, conducting engineering interviews and supporting the growth of your peers. What You’ll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Pride in readable, well-designed, and well-tested software, with a focus on long-term maintainability. Experience writing web-based applications in any modern language (Go, Ruby/Rails, Python, Scala, or Rust). Solid understanding of relational databases (such as PostgreSQL or MySQL). Familiarity with web architecture at scale, ideally handling high-traffic environments (20krpm and above). Exposure to NoSQL data backends or caching layers like Redis, DynamoDB, or ElasticSearch. A problem-solving mindset, particularly when applied to complex logistical or marketplace challenges. Why Join Us? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Munich Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As Harvey scales its post-sales function across EMEA, we are hiring a Legal Engineer Manager - Product Specialist to lead and grow the Product Specialist team in Munich. This role was created to provide senior leadership and strategic direction to a team of Product Specialists who support existing customers in maximising their use of the Harvey platform. Harvey’s Legal Engineer - Product Specialists are experienced lawyers from top-tier firms who leverage their legal expertise to help customers seamlessly integrate Harvey into their daily workflows - driving adoption, increasing utilisation, and supporting long-term expansion and renewal. Legal Engineer - Product Specialists collaborate closely with Harvey’s Customer Success Managers to drive all facets of the post-sales strategy. They develop consultative relationships with law firm partners, associates, innovation teams, and in-house counsel, serving as trusted advisors on how Harvey’s AI solutions can enhance legal effectiveness and efficiency. Legal Engineer - Product Specialists draw on their legal training and practice experience to ask thoughtful questions, uncover adoption barriers, and develop tailored strategies that build credibility with customers. They partner with Customer Success Managers to communicate Harvey’s value through a mix of large group sessions, small workshops, and one-on-one conversations. WHAT YOU'LL DO - Lead and develop a team of Legal Engineers - Product Specialists in the DACH region, providing coaching, performance management, and career development support. - Own the post-implementation customer relationship from a legal engineering perspective, ensuring law firm and in-house clients are effectively onboarded, trained, and supported on an ongoing basis - Act as the senior escalation point for complex or strategic customer engagements, bringing deep product and legal expertise - Partner with Account Management and Sales to identify expansion opportunities, support renewals, and contribute to retention strategy - Collaborate with the Product team to surface customer feedback, advocate for platform improvements, and keep the team informed of new features and roadmap developments - Define and iterate on team processes, playbooks, and frameworks to build a scalable and high-performing function WHAT YOU HAVE - Qualified lawyer with 7+ PQE, with experience in a law firm or in-house legal environment - Prior experience managing or mentoring a team, with a track record of developing talent and driving performance - Deep familiarity with legal technology and AI tools, with an ability to quickly develop and demonstrate platform expertise - Strong commercial instincts and the ability to engage credibly with senior stakeholders at law firms and in-house legal teams - Excellent communication and presentation skills, with experience running training, workshops, or client-facing product sessions - Comfort operating in a fast-paced, high-growth environment with a pragmatic, solutions-oriented approach DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-LM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Anywhere in France, Belgium, Spain 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. 🐼 WHO WE ARE You. Better. With Alan. Alan's vision is to make prevention the new norm of care for all. Our mission is to help people live in good health to 100 while helping employers feel proud, turning health benefits from a cost center into their most valuable investment. We're building a vertically integrated health partner that seamlessly unites insurance and smart healthcare delivery into one system. By connecting all aspects of care - private, public, and direct to consumer - we create the most member-centric healthcare experience. Through deep engagement, we empower everyone to overcome day-to-day health obstacles and live healthier lives. We partner with 35K+ companies of all sizes, serving more than 1M+ members, and have reached 770M+ in ARR. Our team of 700 people (still growing) operates across France 🇫🇷, Spain 🇪🇸, Belgium 🇧🇪, and Canada 🇨🇦. 🚀 WHAT YOU'LL BUILD AND WHO YOU'LL WORK WITH You would join the product team that builds the AI agents answering our 1M+ members' questions about their health insurance - reimbursements, coverage, claims, account changes and more - instantly and without waiting for a human. Our AI agents already fully resolve more than 50% of members' questions. Your mission is to push that number further, increase the quality of answers and the trust members place in them, and make our agents work with the other AI agents at Alan, such as Mo our health companion. Concretely, you will: - Design and ship LLM-powered agents that understand a member's request, reason over their contract, claims and history, and take real actions on their behalf - building the tools, retrieval and context pipelines that give them the right information at the right moment - Make our agents interoperate with other AI agents across Alan, such as Mo: handing off conversations, sharing context and calling each other's capabilities, so members get one seamless experience - Bring automated resolution to new channels, starting with AI phone support: real-time voice conversations with the same quality bar as written ones - Own evaluation: build datasets, automated evals and quality monitoring so we know an agent is right before members see it - Measure and improve resolution rate, answer quality and member satisfaction in production, iterating fast on prompts, models and architecture - Work hand in hand with care experts and product to identify the next topics the AI can fully resolve ⚡ WHY THIS ROLE IS SPECIAL - Direct Impact: Every point of automated resolution means members get help instantly, when they need it the most - and directly drives Alan's scaling, growth and profitability. - Applied AI at scale: You won't build demos. You'll ship AI agents that handle hundreds of thousands of real conversations per month in a regulated, high-stakes domain, where accuracy truly matters. - Frontier problems: Agentic workflows, tool use, evaluation, safety and guardrails, cost and latency trade-offs - you'll tackle the hardest open questions in production LLM systems. - Ownership & Growth: Influence product direction, mentor other engineers, and lead technical initiatives that shape the future of healthcare access. 🔍 WHAT WE'RE LOOKING FOR Technical Requirements: - 5+ years building scalable software systems - Strong backend experience (Python is a plus) - Hands-on experience building products with LLMs (agents, tool calling, RAG, prompt engineering, evaluation) - ideally shipped to production - An evaluation mindset: you know how to measure whether an AI system is actually good, and how to make it better What we value: - You love turning complex problems into elegant solutions - You care about the "why" behind what you build, not just the "how" - You stay on top of a fast-moving AI landscape and are pragmatic about what really works - Humble and still willing to grow (no matter your seniority) Mission Alignment: - Healthcare technology excites you - You understand that insurance isn't just about money - it's about access to care But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. ⭐ THE ENGINEERING TEAM ⭐ In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of product interaction. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. Our stack is React, Python/Flask, PostgreSQL in a monorepo. If you are not familiar with this stack but are a keen learner, it is totally fine. We deploy daily and believe in distributed ownership - you build it, you own it. Want to know more? Read this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan if you want to discover how life as an Engineer at Alan and this article https://medium.com/alan/engineering-career-path-at-alan-e5de5c2e740c on our Engineering career path. To see all our opened Engineering positions, click here https://jobs.ashbyhq.com/alan?departmentId=8ba0fb44-ec79-4731-bf45-d65a821e24f0 ! 🌍 HOW WE WORK Location: You must be legally eligible to work in France, Belgium or Spain. Remote work: We offer remote work flexibility, but we value in-person collaboration. Check here https://alan.com/en/careers/a/everyday-life for more information about our everyday life! 🎯 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 and Career pages, as well as our Medium, blog and Glassdoor pages 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 🔄 A quick note about the process Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/alaninsurance/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?source=copy_link.

Location: Москва Наша команда занимается развитием платформы данных в блоке «Люди и Культура». Мы создаём Data-продукты, которые являются основой для: Комплексной HR-аналитики — от операционных отчётов до предиктивных исследований; Углублённых исследований по человеческим ресурсам — анализ удержания, мобильности, эффективности обучения; ML-моделей продвинутого уровня — прогнозирование оттока, подбор, мотивация, карьерные траектории; B2E-агента для сотрудников Сбера. Наши данные помогают принимать осознанные кадровые решения на основе реальных метрик, а не интуиции. Технологический контекст Система «Пульс» является единым окном взаимодействия каждого сотрудника Сбер с компанией. Она представляет собой набор систем с микросервисной архитектурой, включающее хранилище данных на ClickHouse, DataLake на S3 и Trino, ETL на Kafka и AirFlow, датакаталог и Semantic Layer. Основной акцент развития — мультиагентные системы (Multi-agent AI), где данные служат топливом для LLM-агентов, автоматизирующих рутину и помогающих в принятии кадровых решений. Первый этап отбора на эту вакансию — общение с AI-рекрутером. После отклика ждите сообщение от него, диалог займёт примерно 10 минут. Задача AI-рекрутера — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. AI-рекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным для всех! Обязанности * вы станете архитектурным и процессным лидером в области данных для блока «Люди и Культура», отвечая за стратегию, качество и развитие платформенных решений * стратегия и архитектура данных: 1. разрабатывать и реализовывать стратегию управления данными блока, обеспечивая развитие архитектуры «Пульс»: от слоя сырых данных (Raw) до мастер-витрин (Master) 2. проектировать многослойную архитектуру хранилища, опираясь на методологии 3. определять приоритеты и темпы развития инфраструктуры данных, внедрения современных Data-решений * управление процессами и качеством: 1. выстраивать процессы управления данными: внедрять дата-контракты, выстраивать ролевую модель 2. утверждать единые правила доступа к информационным ресурсам блока и стандарты обмена данными 3. обеспечивать высокий уровень качества данных (профилирование, валидация, мониторинг) и предотвращать нарушения безопасности * AI и Инновации (Мультиагентные системы): 1. обеспечивать сопровождение и развитие AI Semantic Layer и графа знаний — основы для контекста LLM и агентов 2. интегрировать искусственный интеллект и машинное обучение в процессы работы с данными (RAG-пайплайны, векторный поиск) 3. определять требования к качеству данных для обучения ML-моделей и работы мультиагентных систем * регуляторика и лидерство: 1. обеспечивать соответствие обработки данных 152-ФЗ и принципам защиты персональных данных на всех этапах жизненного цикла 2. апробировать общекорпоративные требования на цели блока и согласовывать стратегии с руководством Дивизиона «Исследования и аналитика» 3. консультировать заказчиков и смежные команды по вопросам выбора оптимальных структур данных и формата их передачи. Требования * имеете глубокое понимание архитектуры современных хранилищ данных (DWH), озер данных (Data Lake) и принципов построения витрин * имеете практический опыт проектирования ETL/ELT-процессов (Kafka, Airflow). Вы должны четко понимать разницу между слоями: сырые данные (Raw), детальное хранилище (DDS) и витрины (Marts) * понимаете концепции Master Data Management (MDM), Data Governance, Data Lineage и Data Catalog. Желателен опыт внедрения или администрирования хотя бы одного из этих инструментов * знаете и понимаете работу стека Сбера: ClickHouse (OLAP), Trino (распределенные SQL), S3 (DataLake), Kafka (потоки данных) * имеете опыт работы с графовыми базами данных или понимание Property Graph моделей будет значительным преимуществом * знаете методологии гибкой разработки (Scrum, Kanban, SAFe) и умеете применять их к data-продуктам и ML-пайплайнам * знакомы с Domain-Driven Design и экосистемой Сбера * понимаете принципы работы с персональными данными (152-ФЗ) и имеете опыт аудита или защиты данных * имеет опыт работы в банковском секторе или финтехе, понимание процессов EWS (Enterprise Web Services) * обладаете высокой степенью автономности и ответственности за результат * обладаете системным мышлением: способны видеть не только локальную задачу, но и ее влияние на смежные процессы, интеграции и общую архитектуру банка * имеете сильные коммуникативные навыки: умеете договариваться со сложными стейкхолдерами, аргументировать свою позицию как бизнесу, так и техническому руководству * энергичны и инициативны — готовы вести за собой команду и двигать изменения в масштабной корпоративной среде. Условия * офисный формат работы, адрес офиса Кутузовский проспект 32 * ежегодный пересмотр зарплаты, квартальная и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Tokyo, Japan About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a leader of Applied AI Solutions Architecture in Japan, you will drive the adoption of frontier AI by enabling the deployment of Anthropic’s products (Claude for Enterprise, Claude Code, and API) across Japanese enterprises and digital-first organizations. You’ll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers’ business needs, meets their technical requirements, and provides a high degree of reliability and safety. You’ll lead and grow a Japan Applied AI team as Anthropic’s presence in the market continues to expand. Applied AI comprises Solutions Architects, Product Engineers, and Finetuning Engineers. Working alongside the existing Japan Applied AI leadership, you will scale processes and best practices for the region’s technical pre-sales engagements, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships. In collaboration with the Sales, Product, and Engineering teams globally and locally, you’ll help enterprise partners incorporate leading-edge AI systems into their cutting-edge products and platforms. You will employ your excellent communication skills, in both Japanese and English, to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards. Responsibilities Lead and grow a team of Applied AI professionals in Tokyo (Solutions Architects and Product Engineers), providing both technical guidance and career development Set goals and reviews for your team, promoting growth and output Partner with the existing Japan Applied AI leadership to align on team structure, coverage, and best practices Work with a handful of the highest-value enterprise customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution Partner closely with your aligned GTM leadership to understand customer requirements and co-build GTM strategies to drive adoption for Japanese enterprise customers and partners (including SIers and resellers) Contribute to thought leadership through conference presentations, webinars, and technical content creation Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products Drive collaboration across cross-functional teams to influence and unify stakeholders at all levels of the organization, including navigating consensus-driven decision-making within Japanese enterprises Travel regularly to customer sites for executive-level sessions, technical workshops, and building relationships Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products Lead the vision, strategy, and execution of innovative solutions that leverage our latest models’ capabilities Stay current with emerging AI/ML trends and the competitive landscape in the Japanese enterprise tech sector You may be a good fit if you have: 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role 3+ years of technical go-to-market management experience, specifically managing pre-sales teams Native or business-level fluency in Japanese and professional proficiency in English Experience working with Japanese enterprise customers and understanding local business culture and decision-making processes (e.g., ringi/nemawashi, multi-layer stakeholder alignment) Experience with the unique technical requirements and technical procurement processes of Japanese enterprises, including working through SIers and channel partners Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases An organizational mindset and enjoyment of scaling teams in a fast-growing, evolving environment Excellent communication, collaboration, and coaching abilities Comfort with uncertain, ambiguous, and fast-moving environments typical of the tech industry Strong executive presence and the ability to foster deep relationships with technical leaders and engineering teams At least a high-level familiarity with the architecture and operation of large language models and/or ML in general Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems The ability to make ambiguous problems clear and identify core principles that translate across scenarios A passion for making powerful technology safe and societally beneficial Creative thinking about the risks and benefits of new technologies, beyond past checklists and playbooks An active interest in emerging research and industry trends Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Belgrade, Serbia; Cluj-Napoca, Romania; Dnipro, Ukraine; Kharkiv, Ukraine; Krakow, Poland; Kyiv, Ukraine; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Lviv, Ukraine; Odesa, Ukraine; Remote.BG, Bulgaria; Remote.PL, Poland; Riga, Latvia; Sofia, Bulgaria; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland; Yerevan, Armenia We’re looking for a strong Golang Backend Engineer to join a product-focused engineering team. In this role, you’ll work closely with other engineers to build and maintain scalable backend services, improve system performance, and contribute to the overall architecture of the platform. This is a great opportunity for someone who enjoys working in a fast-paced environment, is comfortable with modern backend technologies, and is eager to grow and experiment with new tools and approaches. The project provides maintenance and development for a high-load platform for hotel reservations, It requires improvements and optimizations of the UI and backend functionality. Develop and maintain backend services using Golang Collaborate with cross-functional teams (engineering, DevOps, product) Design and implement scalable APIs and services Work within a microservices-based architecture Ensure code quality through reviews and collaboration (e.g. pair programming) Identify and resolve performance and reliability issues Contribute to continuous improvement of engineering practices and processes Troubleshoot and debug complex technical issues 2+ years of hands-on experience with Golang Strong understanding of Go fundamentals, standard library, and best practices Experience designing and working with APIs (REST and/or gRPC) Experience with microservices architecture Good understanding of asynchronous communication and concurrency Solid problem-solving skills and proactive mindset Experience working in collaborative engineering teams Experience with cloud platforms (AWS, GCP, or Azure) Familiarity with Linux environments Experience with containers (Docker, Kubernetes) and related tools (e.g. ArgoCD) Understanding of networking basics (routing, gateways, firewalls, etc.) Experience with other programming languages (Java, Scala, C/C++, Rust) Interest in the travel domain Degree in Computer Science or a related field

Location: Ukraine; Poland; Croatia; Spain; Romania; Portugal At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for a Staff Software Engineer to join us as part of our team. About the role PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Our Tech Stack Java, Spring, React, Typescript, Apache Beam, Flink, Python, LangGraph, GCP/AWS, K8s. Work Environment Flexible schedule with participation in team ceremonies and cross-functional collaboration. Time zone: Europe/Kyiv. As a qualified expert, You will - Solve strategic engineering problems hands on. Explore technologies, build prototypes, and produce reference implementations that make architectural qualities and tradeoffs observable. - Design and deliver working software. Architect, implement, test, and maintain services and platform components, including backend systems and architecture-related frontend concerns such as micro-frontend patterns. - Automate architectural conformance. Design and implement AI-based architectural conformance checks and fitness functions that continuously evaluate whether systems follow agreed principles, patterns, and quality constraints. - Turn ambiguity into an executable approach. Break complex problems into bounded areas, apply domain-driven design, and select a practical course of action when information or precedent is limited. - Define measurable quality goals. Establish and continuously evaluate requirements for performance, scalability, reliability, security, availability, recoverability, maintainability, portability, usability, and extensibility. - Document architecture evolution. Describe the current state, target state, transition steps, constraints, alternatives, and decisions in forms that engineering teams can use. - Make explicit engineering tradeoffs. Provide balanced recommendations on build versus buy, now versus later, and refactor versus rebuild, including cost and operational implications. - Create reusable engineering patterns. Develop scaffolding, templates, reference architectures, or platform capabilities that teams can adopt without depending on the Staff Software Engineer long term. - Guide delivery teams. Perform architecture and design reviews, coach engineers through difficult decisions, and enable teams to make high-quality choices independently. - Communicate for the audience. Explain technical context clearly to engineers, technical leaders, product managers, and business stakeholders, and incorporate useful feedback. We’re looking for you if you have - A degree in Computer Science, Information Systems, or a related field, or equivalent practical experience. - At least 6 years of experience in software engineering using Java or a comparable object-oriented language. - At least 3 years developing microservices and experience building distributed or event-driven systems in the cloud. - Practical knowledge of service-oriented architecture, domain-driven design, clean architecture, hexagonal architecture, and common architecture patterns. - Experience implementing agentic applications and tools applying evaluation approaches as part of the process - Experience designing RESTful APIs and event driven Kafka-based applications - Experience with mainstream relational databases, caching, replication, and search technologies. - Experience developing and evaluating agentic applications. - Experience with Google Cloud Platform or Amazon Web Services with container orchestration technologies. - Strong problem-solving skills and the ability to lead through technical guidance across multiple teams without formal authority. - Excellent written and verbal communication with engineers, managers, and product partners. What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Interview Steps Pre-screening with recruiter Technical Screening Technical Interview HR BP Interview Final client Interview

Location: Guatemala City, Guatemala; Mixco, Guatemala; Villa Nueva, Guatemala Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world and a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world About the Role As a Digital Insurance Project Manager, your core responsibility will be to oversee and manage the implementation of new and/or existing projects within CoverGo's operations. This role presents an exciting opportunity for an individual with a strong drive to lead transformative projects in the insurtech industry. What You Will Do Engage and manage relationships with clients and stakeholders Lead project planning sessions with the internal team and client's staff Support solution proposals for client pursuits, proposals, and PoCs Participate in proposal and POC processes (i.e. design, submission, and review) Support the creation of contracts and related communication with clients Identify and help secure growth opportunities for existing clients Manage project progress and adapt work as required Ensure projects meet deadlines Manage relationships with clients and stakeholders Host regular/weekly project review and create reports with key metrics about team and project status using company standard metrics Oversee all incoming and outgoing project documentation Identify and manage issues, risks, assumptions, and dependencies Continuously optimize and improve processes and the overall approach where necessary What We Need Bachelor's degree in computer science or a related technical field is a plus Atleast 5 years experience as a Project Manager Atleast 3 years experience in insurance Insurance domain knowledge is a must Strong client facing experience is a must Technical skills are a plus Has experience seeing projects through the full life cycle Excellent analytical skills and problem-solving skills Strong interpersonal skills and extremely resourceful Proven ability to complete projects according to outlined scope, budget, and timeline Self-motivated and able to work independently Able, willing, and excited to work in a fast-paced collaborative startup environment Must be based in Guatemala Why You'll Love Working Here Fully Remote Paid Annual Leaves Annual Performance Bonus Remote Work Allowance Anniversary Bonus Health Insurance Company Activities and Events Learning and Development Plan CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Panama City, Panama; Panama; David, Panama Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world and a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world About the Role As a Digital Insurance Project Manager, your core responsibility will be to oversee and manage the implementation of new and/or existing projects within CoverGo's operations. This role presents an exciting opportunity for an individual with a strong drive to lead transformative projects in the insurtech industry. What You Will Do Engage and manage relationships with clients and stakeholders Lead project planning sessions with the internal team and client's staff Support solution proposals for client pursuits, proposals, and PoCs Participate in proposal and POC processes (i.e. design, submission, and review) Support the creation of contracts and related communication with clients Identify and help secure growth opportunities for existing clients Manage project progress and adapt work as required Ensure projects meet deadlines Manage relationships with clients and stakeholders Host regular/weekly project review and create reports with key metrics about team and project status using company standard metrics Oversee all incoming and outgoing project documentation Identify and manage issues, risks, assumptions, and dependencies Continuously optimize and improve processes and the overall approach where necessary What We Need Bachelor's degree in computer science or a related technical field is a plus Atleast 5 years experience as a Project Manager Atleast 3 years experience in insurance Insurance domain knowledge is a must Strong client facing experience is a must Technical skills are a plus Has experience seeing projects through the full life cycle Excellent analytical skills and problem-solving skills Strong interpersonal skills and extremely resourceful Proven ability to complete projects according to outlined scope, budget, and timeline Self-motivated and able to work independently Able, willing, and excited to work in a fast-paced collaborative startup environment Must be based in Panama Why You'll Love Working Here Fully Remote Paid Annual Leaves Annual Performance Bonus Remote Work Allowance Anniversary Bonus Health Insurance Company Activities and Events Learning and Development Plan CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Lisbon, Portugal; Porto, Portugal; Braga, Portugal Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world and a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world About the Role As a Digital Insurance Project Manager, your core responsibility will be to oversee and manage the implementation of new and/or existing projects within CoverGo's operations. This role presents an exciting opportunity for an individual with a strong drive to lead transformative projects in the insurtech industry. What You Will Do Engage and manage relationships with clients and stakeholders Lead project planning sessions with the internal team and client's staff Support solution proposals for client pursuits, proposals, and PoCs Participate in proposal and POC processes (i.e. design, submission, and review) Support the creation of contracts and related communication with clients Identify and help secure growth opportunities for existing clients Manage project progress and adapt work as required Ensure projects meet deadlines Manage relationships with clients and stakeholders Host regular/weekly project review and create reports with key metrics about team and project status using company standard metrics Oversee all incoming and outgoing project documentation Identify and manage issues, risks, assumptions, and dependencies Continuously optimize and improve processes and the overall approach where necessary What We Need Bachelor's degree in computer science or a related technical field is a plus Atleast 5 years experience as a Project Manager Atleast 3 years experience in insurance Insurance domain knowledge is a must Strong client facing experience is a must Technical skills are a plus Has experience seeing projects through the full life cycle Excellent analytical skills and problem-solving skills Strong interpersonal skills and extremely resourceful Proven ability to complete projects according to outlined scope, budget, and timeline Self-motivated and able to work independently Able, willing, and excited to work in a fast-paced collaborative startup environment Must be based in Portugal Why You'll Love Working Here Fully Remote Paid Annual Leaves Annual Performance Bonus Remote Work Allowance Anniversary Bonus Health Insurance Company Activities and Events Learning and Development Plan CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Serbia POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode Incode is a Series B unicorn ($2 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast. The Impact You’ll Make We are seeking a highly skilled Backend Engineer to join our team of backend and DevOps experts. In this role, you will design and implement scalable, resilient backend services that power products used by millions of users. You’ll tackle complex engineering challenges, from extracting services from a monolith to designing robust APIs and data migrations, while ensuring performance, stability, and maintainability. What You’ll Own & Drive Engineering Excellence & Scalability – Architect and implement backend systems that are robust, scalable, and capable of supporting millions of active users. Ensure high availability and reliability through thoughtful system design. Service Development Lifecycle – Build and maintain services from initial model design to production support. Contribute across all phases, including prototyping, implementation, testing, deployment, and monitoring. Code Quality & Best Practices – Write clean, maintainable, and well-tested code. Participate in code reviews to maintain high standards and mentor peers on engineering best practices. Complex Problem-Solving – Tackle challenging engineering problems such as decomposing monolithic applications into microservices, managing large-scale data migrations, and optimizing system performance. Observability & Resilience – Implement logging, monitoring, and tracing practices to ensure system health and reliability. Proactively identify and address performance bottlenecks. Cross-Team Collaboration – Work closely with DevOps, product managers, and other engineers to ensure smooth integrations and high-quality deliverables. Align engineering solutions with business needs and operational goals. What You’ll Own & Drive Engineering Excellence & Scalability – Architect and implement backend systems that are robust, scalable, and capable of supporting millions of active users. Ensure high availability and reliability through thoughtful system design. Service Development Lifecycle – Build and maintain services from initial model design to production support. Contribute across all phases, including prototyping, implementation, testing, deployment, and monitoring. Code Quality & Best Practices – Write clean, maintainable, and well-tested code. Participate in code reviews to maintain high standards and mentor peers on engineering best practices. Complex Problem-Solving – Tackle challenging engineering problems such as decomposing monolithic applications into microservices, managing large-scale data migrations, and optimizing system performance. Observability & Resilience – Implement logging, monitoring, and tracing practices to ensure system health and reliability. Proactively identify and address performance bottlenecks. Cross-Team Collaboration – Work closely with DevOps, product managers, and other engineers to ensure smooth integrations and high-quality deliverables. Align engineering solutions with business needs and operational goals. The Qualities That Set You Apart Technical Mastery – Deep knowledge of Java/Kotlin and the Spring framework ecosystem, with proven expertise in backend architectures. Database Expertise – Strong understanding of PostgreSQL, MongoDB, and Redis, with the ability to design schemas, optimize queries, and ensure data consistency. API Design Proficiency – Experience in designing, building, and maintaining REST APIs with a focus on clarity, scalability, and long-term maintainability. Analytical Mindset – Skilled at breaking down complex systems and applying logical, systematic approaches to engineering problems. Quality-Driven Approach – Commitment to writing high-quality, maintainable code with comprehensive test coverage. Adaptability & Growth – Thrives in dynamic, fast-paced environments. Willing to take ownership of difficult problems and continuously grow technical expertise. Collaborative Spirit – Strong communication and teamwork skills, enabling seamless collaboration across engineering and DevOps teams. Your Background 5+ years of professional software development experience Proficiency in Java/Kotlin and the Spring framework ecosystem Experience with observability tools (logging, monitoring, tracing) Solid understanding of PostgreSQL, MongoDB, and Redis Hands-on experience in domain modeling and REST API design Track record of delivering scalable and maintainable systems Why Incode? Mission with Meaning – Shape how billions of people prove identity—safely, simply, and ethically. Rocket-Ship Growth – Join at an inflection point where your strategies will compound in value for years. Elite Team & Backing – Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category. Ownership & Autonomy – Operate like a founder with the resources of a unicorn. Global Impact – Every program you launch will reverberate across industries and continents. Ready to ignite the future of trust? Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum. Aspects of our Culture: High performance Freedom & responsibility Context, not control Highly aligned, loosely coupled Continuous Feedback Promotions & Development Learn more about Life at Incode ! Benefits & Perks: Flexible Working Hours & Workplace Open Vacation Policy Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you. Applicant Data Privacy: We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Strategic Account Executive on our Regulated Verticals team. About the job This position is needed to lead relationships and complex solution selling across Twilio’s Customer Engagement Platform, including Messaging, Voice, Email, Segment CDP, Trust & Identity (Verify, Lookup), and Flex. You will drive revenue growth and build strategic, executive-level partnerships with top enterprise financial services and FinTech organizations. As a trusted advisor, you will navigate domain-specific use cases like fraud prevention and personalized engagement while collaborating across Product, Compliance, Finance, and Engineering. Responsibilities In this role, you’ll: Manage and expand some of our most important Regulated Verticals customer accounts. Develop, drive, and execute account strategy to consistently deliver strong revenue, gross margin, and gross profit results. Partner closely with other Twilio teams to identify new revenue opportunities within your Regulated Verticals account portfolio. Serve on a cross-functional account team with representatives from product, finance, support, and services teams. Run a disciplined forecast, consistently achieve goals, and present guidance to executive management. Run highly consultative sales cycles with our largest customers with a focus on deep discovery, listening to customer needs and being an effective champion for their point of view in the organization. Generate and maintain an accurate sales pipeline and forecast utilizing our CRM, SalesforceStay current with industry changes and collaborate with your team and peers to learn and share best practices Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Possess a total of 8 years of sales experience, with a minimum of 3 years dedicated to major account or strategic sales. Demonstrate expertise in managing or leading quantitative, highly analytical products and solutions for customers. Accountable for relationship management, cross sells, upsells and solutions consulting. Comfortable working with business and highly technical leaders, while influencing their understanding and building supportive partnerships. Analytical account development strategy based on using data to find opportunities and prove value. Demonstrated track record of managing business forecasts and financial models. Entrepreneurial mindset with appetite to define process and build programs. Record of delivering revenue and gross profit results, especially for large-scale and enterprise customers. Excellent verbal and written communication skills. Bachelor’s Degree or equivalent years of experience. Desired: Deep experience working with telecom companies, including CPAAS, SMS aggregators, carriers, or global communications platforms. Domain expertise from a highly quantitative industry such as DevOps, Fintech, advertising optimization, investment banking, security or commodity trading especially in non-standard segments. Software, SaaS, CPaas or PaaS selling experience Location This role will be remote, but is not eligible to be hired in CT, NJ, NY, WA, PA or the surrounding areas of San Francisco, CA, Oakland, CA, or San Jose, CA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 20% travel is anticipated to help you connect in-person in a meaningful way. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Minnesota or Vermont : $132,192.00 - $165,240.00. Based in Washington D.C., Illinois, Maryland, Massachusetts or California (outside of the San Francisco Bay Area): $139,536.00 - $174,420.00. Based in New York, New Jersey, Washington State, or the San Francisco Bay area, California: $146,880.00 - $183,600.00. This role may be eligible to participate in Twilio’s equity plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. This role is eligible to earn commissions. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until Dec 20th, 2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Data Engineer supporting Billing & Payments Engineering, you’ll join the Finance Data Engineering team and build the foundation for accurate, scalable billing and revenue data across Anthropic. You’ll work closely with Billing Engineering, Finance and Accounting, as well as Product and other partners, to turn billing and payments data into reliable metrics, reporting and insights. You’ll make sure teams have trustworthy data that scales with our growth, and you’ll lead your own projects to enable self-serve insights that help teams make data-driven decisions. Key responsibilities Partner with Billing Engineering, Finance and Accounting to understand their data and reporting needs, and translate them into technical requirements Design, build and maintain data models and pipelines in dbt that transform raw billing, usage and payments data into canonical datasets Own revenue data accuracy and reconciliation, making sure billing, usage and revenue data tie out across systems Define success metrics for billing systems, and build the data models and monitoring to track them Set data integrity standards and SLAs for timely, accurate delivery of billing and revenue data Share on-call and data operations responsibilities for Finance Data Engineering pipelines Build dashboards and self-serve data products that track core metrics and deliver insights across the company Promote best practices for dbt, data modeling and SQL Influence the Billing Engineering roadmap from a data systems perspective Build a thorough understanding of our data models and data architecture Minimum qualifications Experience as a Data Engineer, Analytics Engineer or in a similar role Experience with SQL and Python, and building multi-step data pipelines with tools like dbt Experience with workflow orchestration tools like Airflow, and version control with GitHub Familiarity with billing concepts such as invoicing, payments, credits, refunds and subscriptions, and experience working with data from billing systems Experience building dashboards and reporting in tools like Hex for multiple cross-functional teams Ability to prioritize and deliver practical solutions quickly Willingness to solve problems end to end, including work beyond the original scope Ability to define next steps and keep work moving when requirements are unclear Interest in Anthropic’s mission of building safe and beneficial AI Preferred qualifications 5+ years of experience as a Data Engineer, Analytics Engineer or in a similar role Experience partnering with billing, finance or accounting teams on revenue metrics and reconciliation Experience building an analytics or data engineering function from an early stage The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Palo Alto, United States 📍 Location: Palo Alto, CA 📄 Employment Type: Contract 🏢 Work Arrangement: On-site 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements 5+ years of experience in post-silicon characterization, high-speed I/O (HSIO) validation, or memory electrical validation. Hands-on experience characterizing high-speed SerDes PHYs , particularly PCIe. Experience measuring eye diagrams, jitter, bit error rate (BER), and S-parameters . Proficiency with high-speed oscilloscopes, bit error rate testers (BERT), and VNA/TDR equipment. Ability to read and interpret schematics and PCB layouts. Experience debugging electrical issues directly at the probe point. Python scripting experience for laboratory test automation. Background in semiconductor, silicon, or systems companies, including SoC, GPU, networking, storage, or automotive compute. Must be willing to work on-site in Palo Alto, CA . About the Role We are seeking a hands-on PCIe Characterization Engineer to perform post-silicon electrical characterization and validation of high-speed SerDes physical-layer interfaces in a laboratory environment. The role focuses on conducting high-speed electrical measurements, analyzing signal integrity, and validating silicon performance. You will independently operate laboratory equipment, troubleshoot signal-level issues, interpret hardware schematics and PCB layouts, and automate characterization workflows using Python. The successful candidate will have direct experience with high-speed interface characterization and the practical skills needed to investigate electrical performance issues at the measurement and probe points. What We’re Looking For We’re looking for an experienced post-silicon characterization or HSIO validation engineer with strong hands-on laboratory skills and practical knowledge of high-speed electrical measurements. The ideal candidate can independently perform eye, jitter, BER, and S-parameter measurements; operate high-speed test equipment; interpret schematics and layouts; and troubleshoot signal integrity issues directly in the lab. Strong candidates will combine experience with PCIe and SerDes interfaces, high-speed measurement instrumentation, electrical debugging, and Python-based lab automation . Key Responsibilities Post-Silicon Characterization & Validation Perform post-silicon electrical characterization of high-speed SerDes PHYs, including: PCIe Ethernet UFS LPDDR5 Support high-speed interface validation and investigate electrical performance issues. Analyze characterization results to assess high-speed interface performance. Identify and troubleshoot signal-level issues during testing. High-Speed Electrical Measurements Conduct eye diagram, jitter, bit error rate (BER), and S-parameter measurements . Independently operate laboratory measurement equipment, including: High-speed oscilloscopes Bit error rate testers (BERT) Vector network analyzers (VNA) Time-domain reflectometry (TDR) equipment Analyze measurement data to evaluate electrical performance and signal integrity. Document test configurations, measurement results, and characterization findings. Schematic Analysis & Electrical Debugging Read and interpret electrical schematics and PCB layouts to support characterization activities. Troubleshoot signal integrity and electrical issues directly at probe points. Investigate measurement anomalies and high-speed interface performance problems. Apply practical electrical measurement and debugging techniques to identify potential issues. Python Lab Automation Develop and maintain Python scripts to automate laboratory measurements and characterization workflows. Support repeatable and efficient execution of electrical tests. Improve laboratory testing efficiency through reusable automation scripts. Assist with measurement data collection, analysis, and documentation. Cross-Functional Validation Support Support high-speed interface validation activities across relevant silicon and systems platforms. Collaborate with engineering teams to investigate electrical performance issues. Communicate measurement findings, debugging results, and characterization progress. Maintain clear technical documentation of test procedures, configurations, and results. Required Qualifications 5+ years of experience in post-silicon characterization, HSIO validation, or memory electrical validation. Experience working at a semiconductor, silicon, or systems company in areas such as SoC, GPU, networking, storage, or automotive compute. Hands-on experience with high-speed SerDes PHY characterization. Practical experience measuring eye diagrams, jitter, BER, and S-parameters. Proficiency using high-speed oscilloscopes, BERT, and VNA/TDR equipment. Experience reading and interpreting schematics and PCB layouts. Strong laboratory debugging and electrical measurement skills. Python scripting experience for test and measurement automation. Strong analytical, troubleshooting, and problem-solving abilities. Willingness to work on-site in Palo Alto, CA. Preferred Qualifications Experience with PCIe electrical characterization and validation . Exposure to Ethernet, UFS, or LPDDR5 interfaces. Experience with high-speed signal integrity measurements and analysis. Background in silicon validation for SoC, GPU, networking, storage, or automotive-compute products. Experience developing reusable automation scripts and improving laboratory test efficiency.