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Location: São Paulo, Brazil About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . ABOUT THE ROLE Turing is the world's leading research accelerator for frontier AI labs. The STEM Horizontal team produces the high-signal STEM data those labs train on, and this role builds the machinery behind it: the task-authoring tools, data pipelines, evaluation harnesses, sandboxed execution environments, and agentic workflows our researchers and domain experts work inside every day. This sits at the seam between engineering and research. You'll own production systems end-to-end, and you'll be the person a researcher pulls in to ask why an eval is producing misleading numbers. Correctness and reproducibility are the product: a subtle bug here doesn't crash anything, it quietly poisons a training run and costs weeks. If you want to build systems that visibly shape how frontier models learn to reason about code and science, this is the seat. WHAT YOU'LL DO Own services end-to-end: design, implementation, rollout, and production operation. Build backend services and the data pipelines that generate, validate, score, and version datasets, reproducible from a commit and a config. Ship data-dense internal interfaces: virtualised tables, server-side filtering, review and annotation UIs that stay fast at tens of thousands of rows. Build and operate agent harnesses , multi-step loops with tool use, retries, and structured output, running against real repos and test suites. Build sandboxed execution environments where model-generated code runs safely and deterministically at volume, and stand up the RL environments and eval harnesses on top. Trace and debug agent runs end-to-end: where the loop stalled, which tool call failed, why the grader disagreed with the human. Own infrastructure as code and CI/CD; debug production issues across the stack and drive the reliability work that follows. Raise the bar through code review, design docs, and innovation, partnering with researchers and quality owners on what “good” means. TECH STACK Backend Python · FastAPI · Django / Django Ninja · PostgreSQL · MongoDB · REST + OpenAPI Frontend TypeScript · React · Next.js · virtualised tables, server-side filtering Platform Linux · Docker · Terraform · CI/CD · AWS or GCP WHAT YOU NEED 6+ years building and operating production software, ideally at product companies with real scale. Deep Python with production FastAPI and/or Django , ORM performance, migrations, async patterns. Strong PostgreSQL (schema design, query optimisation, indexing) and NoSQL. Frontend production with TypeScript / React / Next.js . Fluent on Linux and Docker ; Terraform or comparable IaC on AWS or GCP , and ownership of the CI/CD that ships it. Daily use of LLM coding tools (Claude Code, Cursor, Copilot) as part of how you actually ship, with the judgement to review their output critically and know where they break down. We are an AI-forward team; this is a must-have. You've built something on top of LLM APIs that other people depended on, an agent, a pipeline, an eval, and you know where it was fragile. Comfort with non-deterministic systems : you can tell a real regression from noise, and you reach for a controlled experiment over a hunch. Advanced Git and real testing discipline, unit, integration, and the negative and edge cases people skip. Clear written communication; comfortable working without hand-holding, and comfortable saying when a spec is wrong. NICE TO HAVE Internal tools or developer platforms used daily by a technical team. Agent frameworks and protocols, LangGraph, MCP, OpenAI/Anthropic tool use. Sandboxing and untrusted code execution: gVisor, Firecracker, seccomp. Workflow orchestration (Temporal, Airflow, Prefect, Dagster) and Kubernetes beyond managed defaults. LLM coding benchmarks (SWE-bench, Terminal-Bench), eval frameworks, or exposure to RLHF / RLVR. PREFERRED BACKGROUND Bachelor's or Master's degree with 6+ years experience in Computer Science, Software Engineering, Data Science, Machine Learning, AI, or a programming-heavy IT field. We weight demonstrated work outcomes most heavily, a strong track record without a matching degree is fine. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Washington DC 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 Harvey is bringing its AI platform to the U.S. federal government — defense and civilian agencies whose legal, acquisition, and program teams are asking how to adopt AI responsibly. You will be Harvey's first Solutions Architect dedicated to public sector: the technical lead on federal opportunities, the person who designs how Harvey is deployed securely inside government environments, and the one who writes the playbook the rest of the team will follow. You will sit at the intersection of Harvey's platform, agency stakeholders (legal, IT, security, acquisition, and program offices), and our Security & Trust, Legal Engineering, Product, and Customer Success teams. This is an opportunity to help define how AI is adopted across the federal government and to build a flagship public-sector practice at one of the fastest-moving companies in applied AI. WHAT YOU'LL DO - Lead technical discovery and solution design for federal prospects and customers — defense and civilian — working with legal, IT, security, acquisition, and program stakeholders. - Design, document, and defend secure, compliant architectures for Harvey in government environments, including Harvey's FedRAMP High environment, identity and access patterns, integrations, and data-handling requirements (CUI, records retention, auditability). - Own the technical thread on a focused portfolio of high-impact federal accounts, from first conversation through rollout, adoption, and expansion. - Be the field-facing technical partner to Security & Trust on agency security reviews — FedRAMP High controls, DoD Impact Levels, ATO and authorization boundaries, NIST 800-53 — and translate them for program owners and counsel. - Work with Legal Engineers and Customer Success Managers to turn agency workflows and legal or policy use cases into concrete solutions, reusable patterns, and implementation playbooks. - Be the public-sector technical voice back into Harvey, synthesizing field feedback to inform roadmap, evaluation criteria, deployment options, and government-specific documentation. - Represent Harvey's technical perspective in public-sector forums — customer workshops, working groups, and stakeholder briefings — helping agencies understand both the possibilities and the limits of current AI systems. - Build the public-sector Solutions Architecture playbook — qualification, security review, deployment patterns, and enablement — so the practice can scale beyond one person. WHAT YOU HAVE - 7+ years in solutions architecture, sales engineering, forward-deployed engineering, or a similar customer-facing technical role. - Direct experience selling to or supporting U.S. federal customers (Department of Defense and/or civilian agencies) at a SaaS or cloud provider, including navigating agency security reviews and procurement. - Working knowledge of federal compliance frameworks and how they shape deployment — FedRAMP, NIST 800-53, DoD Impact Levels, ATO processes — and the ability to explain them to CISOs and program managers alike. - Hands-on depth in SaaS security and identity architecture: SSO/SAML, SCIM, encryption and key management, data residency, audit logging. - Clear communication with technical and non-technical audiences — from program managers and attorneys to CISOs and enterprise architects — and credibility with senior public-sector stakeholders. - Hands-on engagement with modern AI systems (LLMs, prompt design, evaluation, deployment patterns) and a desire to help agencies adopt them responsibly. - Comfort operating in an emerging practice area: energized by ambiguity, willing to build new playbooks, motivated by real-world impact on public services. PREFERRED - Prior government service or military experience. - Experience with Azure Government or other government cloud environments. - Experience selling through federal systems integrators or contract vehicles. - Background in legal, e-discovery, or other document-heavy enterprise workflows. COMPENSATION $218,800 - $300,900 USD OTE with a 80/20 split LOCATION Remote within Washington, DC area - travel approximately 25–40% to agency and partner sites. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-TM1 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

Seranova, a startup specializing in scientifically-supported skincare products and home rejuvenation devices, is seeking a Recruiter focused on E-commerce and Marketing roles. The position offers remote work flexibility. The recruiter will be responsible for sourcing and hiring talent in the e-commerce and marketing domains to support the company's growth and product development initiatives.

Location: Remote UK Workplace: Remote InfluxData is the creator of InfluxDB, the leading time series platform used to collect, store, and analyze all time series data at any scale. Developers can query and analyze their time-stamped data in real-time to discover, interpret, and share new insights to gain a competitive edge. InfluxData is a remote-first company with a globally distributed workforce. For more information, visit www.influxdata.com http://www.influxdata.com. We are looking for a results driven Account Manager to join our Commercial team! In this role, you will manage a portfolio of around 30-40 accounts, focusing on retention while identifying opportunities for growth and incremental ARR. The ideal candidate will have 1-3 years of experience as an Account Manager or Renewals Specialist, with a proven ability to foster relationships and expand account spend. At this time, we're prioritizing folks who live in the UK. What you'll be doing - Manage a portfolio of customer accounts and renewals with a focus on customer obsession and high retention and satisfaction levels. - Lead the renewal process for each account, ensuring customers needs are met, checkins are scheduled and commercial terms align with customer needs and expectations. - Identify and implement growth opportunities within your accounts to drive incremental revenue growth. Identify new use cases and new groups that can get value from additional capabilities. - Build and maintain strong relationships with key stakeholders within each account. - Collaborate with cross-functional teams (Sales, Support, Marketing, etc.) to enhance customer experience and maximize value. - Monitor account health and proactively address potential risks to retention and growth. What we're looking for - 1-3 years of experience as an Account Manager or Renewals Specialist, with a focus on driving renewals and growth. - Proven ability to manage +50 accounts while balancing renewals and identifying expansion opportunities. - Strong communication, negotiation, and relationship building skills. - Self motivated with the ability to work independently and as part of a team. It’s a plus if you have - Experience selling open source/SaaS - Experience in NoSQL data technologies or other modern data platforms - Experience selling enterprise management solutions (Systems Management, Cloud Management, log analytics, APM, Network Monitoring) - Proficiency in another language such as French, or Italian Interview Information: Our interview process begins remotely. Interviews are typically conducted via Zoom. To ensure every candidate can participate, please let us know if you are unable to access Zoom. Some roles may require an in-person meeting with a team member as part of the final stage. Our Core Values Our employees are the heart of the company and only by having a core set of beliefs and values will we be successful. We hire and live by these core values: - We value each other - We get stuff done - We believe humility drives learning - We embrace failure - We are committed to open source Visit our careers page https://www.influxdata.com/careers/ to learn more about working at InfluxData. To view our CCPA policies click HERE https://www.influxdata.com/wp-content/uploads/November-2023-InfluxData-Candidate-Privacy-Notice.pdf If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access this website to apply for a vacancy as a result of your disability. You can request reasonable accommodations by reaching out to the recruiting team by emailing apply@influxdata.com. InfluxData does not accept unsolicited resumes from headhunters and recruitment agencies through our website, job board or directly to employees. InfluxData will not pay fees to any third-party agency, headhunter or company that does not have a signed agreement for this position in place. Beware of job scams and fraudulent offers! Our recruiters use @influxdata.com http://influxdata.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software other than Zoom, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank accounts or social security numbers. If you have been contacted by someone claiming to be from InfluxData from a different domain about a job offer, please report it as potential job fraud to law enforcement and to jobs@influxdata.com.

Location: London Build with us Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe. Today, more than 250,000 companies use Mollie to get paid, manage money and grow, with products designed to be simple, scalable, and dependable. With 950+ Mollies across 14+ locations, we care deeply about autonomy and craft. So we work in small teams, with real ownership, and we trust you to make the right decisions. We're building for the long term, so we provide the tools you need, processes you can rely on, and a balanced work environment to help you do work you're proud of. Sound like your kind of place? Let's build together. Your impact Treasury is where Mollie's balance sheet takes shape, this team makes sure that our balance sheet is safe, well-funded and resilient. You, as Treasury Manager, will be one of the first people building the Asset & Liability Management (ALM) function for Mollie. This is a genuine 0-to-1 role. There is no legacy ALM framework to maintain, no existing ILAAP to update, no established models to inherit. You'll help design and build the liquidity risk framework, the interest rate and credit spread risk approach, and the funding and balance sheet strategy. Your work will feed directly into Mollie’s licence application and, once authorised, into how Mollie actually manages its liquidity and funding risks. You'll work closely with our product teams, Finance, and Risk Domains and your analysis will be seen by senior leadership and, eventually, by our regulator. As Mollie moves from application to operation, your scope will grow from building the framework to running it. What you'll ship - Build and own the core building blocks of Mollie liquidity risk framework, including the ILAAP, LCR/NSFR monitoring, and liquidity stress testing. - Develop Mollie’s approach to interest rate risk and credit spread risk in the banking book (IRRBB/CSRBB), from risk identification through to models, limits and hedging strategy. - Contribute to the design of Mollie’s funding and balance sheet strategy, including deposit mix, funding diversification and balance sheet construction. - Build the Contingency Funding Plan and related early-warning indicators, so Mollie knows exactly what to do under stress before it needs to. - Produce clear, well-documented policies, methodologies and models that will stand up to scrutiny from DNB/ECB, external auditors, and Mollie's own second and third lines of defense. - Support senior leadership (ALCO or its future equivalent) with the analysis, reporting and recommendations it needs to make sound balance sheet decisions. - Partner with Risk, Finance and our external advisors, to make sure Treasury's frameworks are consistent with Mollie’s wider risk appetite and governance. What you'll bring - Around 5+ years of experience in Treasury, ALM or balance sheet risk management, ideally within a bank, though experience in a fintech, PSP or consultancy building similar frameworks is also relevant. - Solid working knowledge of liquidity risk (LCR/NSFR, ILAAP) and/or interest rate risk in the banking book (IRRBB/CSRBB). You don't need to be deep in both, but you understand how they connect to the balance sheet as a whole. - Comfort building models and frameworks from a blank page. You're not looking for a well-worn playbook, you're excited to write the first one. - Strong quantitative and Excel/financial modelling skills, with the discipline to document your logic clearly enough that someone else, including a regulator, can follow it. - The ability to explain complex balance sheet risk topics clearly to non-specialists, and the confidence to defend your recommendations to senior stakeholders. - Genuine curiosity about how AI can speed up the parts of this work that don't need a human, so more of your time goes toward judgment and design. Grow your way At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms. You'll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step. No matter if you're aiming for promotion, exploring a different career path or building new skills, you'll be supported with the tools, trust and opportunities to grow your way. Unlock your full potential and join us to eliminate financial bureaucracy. If you're excited by the idea of building a bank's Treasury function from scratch, for Mollie and for thousands of businesses across Europe, we'd love to hear from you. Apply with your CV (in English) using the form below. Want a peek behind the scenes? Check out what life at Mollie is really like. AI at Mollie We believe in Always Be Shipping, and AI brings that philosophy to life across every role, every day. AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We're looking for people who are excited to use AI to shape the future of finance and banking with us.

Location: Mumbai, India About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an Enterprise Account Executive, Industries - BFSI to pioneer Anthropic's enterprise AI adoption across India's banking, financial services, and insurance sector. You will build our presence from the ground up, securing transformative deals with leading banks, NBFCs, insurers, and fintechs, and establishing Anthropic as their trusted AI partner for digital transformation. You will navigate the complex, regulated environment of Indian financial institutions and position Claude as the AI solution that drives both efficiency and innovation while maintaining the highest standards of safety and reliability. As one of our first industry specialists in India, you will shape our BFSI go-to-market strategy and build the playbook for how Anthropic serves financial institutions, working closely with global teams while adapting our approach to local market dynamics. This position is based in Bangalore, Mumbai, or NCR, with travel across India. Key responsibilities Establish Anthropic's enterprise presence across India's BFSI sector, including public and private sector banks, NBFCs, insurers, asset managers, and fintechs Develop BFSI-specific strategies that account for RBI, IRDAI, and SEBI requirements, data localization needs, and sector compliance standards Build relationships with key stakeholders, including CXOs, Chief Risk and Compliance Officers, digital transformation leaders, and innovation heads at India's top financial institutions Create the India BFSI playbook for enterprise AI adoption, documenting successful approaches that can scale across the region Own end-to-end sales cycles for complex, multi-stakeholder enterprise deals, often involving board-level decisions Drive strategic expansion within lighthouse accounts that can serve as references for the entire BFSI industry Navigate procurement processes unique to Indian financial institutions, including vendor risk assessments, rate contracts, empanelment procedures, and multi-year agreements Collaborate with system integrators and consulting partners who often influence technology decisions at banks and insurers Co-innovate with customers to develop BFSI use cases, from vernacular customer service and fraud detection to credit underwriting and automated compliance reporting Understand sector-specific challenges such as financial inclusion, legacy core banking modernization, and data security in regulated environments Position AI strategically within the context of Digital India initiatives and financial sector modernization programs Ensure successful deployments that can scale from proof-of-concept to enterprise-wide implementation Partner with global product teams to prioritize features critical for Indian financial institutions, such as multi-language support, data residency, auditability, and integration with local systems Collaborate with legal and compliance teams to navigate India's evolving AI and data protection regulations Provide market intelligence on competitive dynamics, pricing expectations, and emerging BFSI use cases unique to India Build internal alignment between Anthropic's global strategy and India's market requirements Minimum qualifications 15+ years of enterprise sales experience in the Indian market, with a proven track record of closing large, complex deals, ideally across BFSI sector Deep understanding of how Indian financial institutions operate, including decision-making processes, budget cycles, and stakeholder dynamics Experience selling transformational technology (Cloud, AI/ML, Digital Transformation platforms) to Indian enterprises Established relationships with senior executives across banks, NBFCs, insurers, or fintechs Understanding of the Indian regulatory landscape, including RBI, NSE, IRDAI, and SEBI requirements, data protection laws, and sector-specific compliance Consultative selling expertise, with the ability to position AI as a strategic business driver rather than just a technology solution Complex deal structuring experience, including multi-year contracts, phased deployments, and outcome-based pricing Technical acumen to engage credibly with CTOs, architects, and data science teams Cross-cultural communication skills to work effectively with both Indian stakeholders and global teams Entrepreneurial mindset and the ability to build a market from scratch with limited local resources initially Patient yet persistent approach to long enterprise sales cycles, while maintaining momentum Preferred qualifications Experience selling directly into large Indian banks, insurers, or financial conglomerates Relationships with Indian system integrators such as TCS, Infosys, Wipro, and HCL, particularly their BFSI practices Familiarity with Indian business groups and conglomerates, and how decisions flow within these complex organizations Track record of first-in-market roles or launching new products in India Domain expertise in areas critical to Indian financial services, such as UPI payments, core banking systems, KYC/AML compliance, Aadhaar integration, or insurance underwriting Knowledge of government initiatives such as Digital India and their impact on financial sector technology adoption Experience navigating public sector bank and PSU sales processes is a plus 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 Workplace: Hybrid Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. ABOUT THE ROLE Almost any company can produce training video at scale today. Almost none can tell you whether it actually made someone better at their job. We're building the product that closes that gap: an agentic, real-time experience where people practice live, dynamic scenarios, and where organizations finally get genuine signal on readiness, instead of a metric tied to course completion. This is a zero-to-one bet on what comes after content, which is practice, and proof. You'll own one of two of the domains inside that bet, Surveys and Guidance, from strategy through ship. WHY NOW Real-time, agentic AI has only just become good enough to hold a convincing live scenario, and to make sense of what happens inside one. The window to define this category is open now, and we intend to own it. THE PROBLEM YOU'RE SOLVING Today, the most a company can do to check whether someone has genuinely learned something is watch them complete a module or pass a quiz. The behaviors that matter in real roles, in real moments, are rarely tested reliably, and what comes back to the business is a thin, lagging signal. We have the underlying technology to change that. What we need is a product manager who can turn it into something an enterprise will use to prepare its people, and that an end user actually wants to engage with, across two connected domains: - Surveys - capturing structured, trustworthy signal at scale: how people feel, how they're performing, and where the gaps are. - Guidance - giving people direction in the moment they need it, live and in context, rather than as a debrief after the fact. Both sit inside the same bet: give organizations proof of readiness, not just proof of attendance. WHAT YOU'LL BE DOING - Owning the multi-quarter strategy for Surveys and Guidance, setting the direction, identifying the right problems to solve, and making the trade-offs needed to deliver against them. - Defining and evolving the success metrics for both domains, and connecting product outcomes directly to commercial results: retention, expansion, and revenue impact. - Getting close to the customers who matter most: understanding how they think, where current tools leave them exposed, and translating that into a product direction others can act on. - Driving a shared understanding of where these product areas are going and why. Engineering, design, R&D, and commercial counterparts should all be able to articulate the strategy and the reasoning behind it. - Producing written narratives, strategy docs, and PRDs, that move decisions forward and give your team the context to build the right thing without a follow-up conversation. - Balancing short-term delivery with long-term product health: scoping to reflect execution risk, hitting milestones predictably, and iterating based on evidence rather than opinion. - Contributing to improvements in product practice across the team, and actively participating in PM hiring. WHO YOU ARE You've owned a critical product domain before, one where the stakes were real and the strategy was yours to set, not just execute. You're comfortable operating with autonomy on the what, not just the how, and you have a track record of connecting product decisions to commercial outcomes. You understand that zero-to-one products in complex domains require you to hold two things at once: the discipline to deliver predictably in the short term, and the judgment to make the right long-term bets while the evidence is still forming. You don't wait for a clean brief. You identify the right problems, form a view, and bring others along. You're a strong written communicator. Engineering and design partners, commercial leads, and senior leadership should all come away from your docs and updates with a clear understanding of where the domain is going and why, without needing to ask. You care about the quality of the experience. Real-time, agentic products are unforgiving, and you hold a high bar for what "good" feels like, for the user in the moment and for the customer looking at outcomes. YOU MAY BE A GOOD FIT IF YOU BRING - Significant experience in product management, with direct experience owning a critical product domain: setting strategy, not just executing it. - A track record of connecting product outcomes to commercial results: ARR, retention, expansion, or equivalent. - Experience with zero-to-one product development in a complex, experience-driven space. You've navigated the ambiguity of a zero-to-one build and have the scar tissue to show for it. - Experience building agentic or AI-powered products. You understand what makes real-time AI interactions feel natural, and what breaks them. - Strong written communication: strategy docs, PRDs, and decision memos that others can act on without a follow-up conversation. - Experience working alongside enterprise buying motions. You'll be close to the commercial team, and that context matters. We encourage you to apply even if you don't meet every point above. Strong candidates rarely match a list exactly, and we'd rather hear from you. LOCATION Flexible, hybrid role based from our London office. OUR CULTURE At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. https://www.notion.so/How-we-work-at-Synthesia-f794caa72f8446efb6be22b551ce0fa2?pvs=21   GLOBAL BENEFITS: - You will be compensated well with a generous salary and equity. - You get 25 days of annual leave + local holidays. - Regular team offsites where you’ll get to collaborate with the product & engineering team in person. - Work from home budget - Work from anywhere policy of 60 days per year - Generous referral scheme - Enhanced parental leave - maternity leave includes 16 weeks at full pay, and paternity leave includes 5 weeks at full pay (if your country’s government scheme offers more generous support, you receive whichever is greater - our enhanced policy or the local statutory benefit)   BENEFITS SPECIFIC TO UK: - Private healthcare via AXA for you with a discount for dependants - 5% pension match - Team lunches Tuesday-Friday in the office - Flexible, hybrid role based from our London office.

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. PLEASE NOTE THAT THIS ROLE REQUIRES RELOCATION TO DUBLIN, IRELAND. ROLE OVERVIEW As a Sales Development Representative at Harvey, you will be at the forefront of driving the growth and adoption of our AI solutions across the legal and professional services markets. You will own early-stage pipeline creation across EMEA by engaging law firms, professional services organizations, and in-house legal teams, understanding their unique challenges, and introducing Harvey’s AI platform. This role combines highly personalized outbound prospecting with thoughtful inbound qualification. Your ability to articulate the value of Harvey's products, paired with curiosity about AI and a rigorous approach to your work, will help us expand our reach and shape the future of knowledge work. WHAT YOU’LL DO - Build revenue pipeline aligned with Harvey’s strategic customer profile using a variety of outbound tools and highly personalized outreach. - Proactively prospect into target accounts across EMEA through email, phone, LinkedIn, and other creative outbound strategies. - Source and qualify new sales opportunities through both outbound prospecting and inbound lead follow-up. - Conduct thoughtful discovery conversations to understand customer workflows and determine strong opportunities for the sales team. - Respond quickly to inbound interest and ensure timely qualification and follow-up. - Partner closely with Account Executives to develop opportunities and support early-stage deal progression. - Provide data-driven insights to inform sales strategies and improve prospecting effectiveness. - Contribute to developing Harvey’s sales playbook and document learnings as we scale the team globally. - Consistently achieve and exceed qualified pipeline and activity targets. What You Have - 1–2+ years of experience in a fast-growing startup, preferably in sales development or project management. - Fluent in written and spoken English and German - Strong executive presence and comfort presenting to sophisticated executive buyers. - Independent, driven, and approach work with rigor and thoughtfulness. - Ability to convey technical concepts to non-technical audiences. - Proficient with Salesforce, Salesloft, and reporting tools. - Collaborative team player able to work across internal functions. - Passionate about Harvey’s mission with a strong understanding of AI applications in knowledge work. - Interest in the legal profession; experience in the legal industry is a plus but not required. 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-KS2 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: Dublin 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 a Sales Development Representative at Harvey, you will be at the forefront of driving the growth and adoption of our AI solutions across the legal and professional services markets. You will own early-stage pipeline creation across EMEA by engaging law firms, professional services organizations, and in-house legal teams, understanding their unique challenges, and introducing Harvey’s AI platform. This role combines highly personalized outbound prospecting with thoughtful inbound qualification. Your ability to articulate the value of Harvey's products, paired with curiosity about AI and a rigorous approach to your work, will help us expand our reach and shape the future of knowledge work. WHAT YOU’LL DO - Build revenue pipeline aligned with Harvey’s strategic customer profile using a variety of outbound tools and highly personalized outreach. - Proactively prospect into target accounts across EMEA through email, phone, LinkedIn, and other creative outbound strategies. - Source and qualify new sales opportunities through both outbound prospecting and inbound lead follow-up. - Conduct thoughtful discovery conversations to understand customer workflows and determine strong opportunities for the sales team. - Respond quickly to inbound interest and ensure timely qualification and follow-up. - Partner closely with Account Executives to develop opportunities and support early-stage deal progression. - Provide data-driven insights to inform sales strategies and improve prospecting effectiveness. - Contribute to developing Harvey’s sales playbook and document learnings as we scale the team globally. - Consistently achieve and exceed qualified pipeline and activity targets. What You Have - 1–2+ years of experience in a fast-growing startup, preferably in sales development or project management. - Fluent in written and spoken English and German - Strong executive presence and comfort presenting to sophisticated executive buyers. - Independent, driven, and approach work with rigor and thoughtfulness. - Ability to convey technical concepts to non-technical audiences. - Proficient with Salesforce, Salesloft, and reporting tools. - Collaborative team player able to work across internal functions. - Passionate about Harvey’s mission with a strong understanding of AI applications in knowledge work. - Interest in the legal profession; experience in the legal industry is a plus but not required. 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-KS2 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: New York City Office COMPANY DESCRIPTION Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting.   ROLE DESCRIPTION - Own the data engineering function end-to-end: build and maintain production pipelines from Tennr's application into Snowflake, ensuring reliability and performance at scale. - Lead EHR discovery and integration initiatives across ~5–10 healthcare systems. Understand what data is available, what integrations we have, evaluate technical tradeoffs, and build creative solutions to extract and ingest data into Snowflake. - Own Snowflake as our strategic data platform: architect instance setup, implement security best practices and governance, manage vendor relationships, and ensure zero data exposure. - Design and implement data models that transform raw data into usable assets. Surface and safely share that data across Tennr so internal teams can build their own analytics and tooling. - Implement comprehensive monitoring and alerting to detect pipeline issues quickly and resolve them with minimal business impact. - Explore innovative approaches to structure and extract insights from unstructured referral documentation, including potential AI-enabled models to unlock value from clinical text data. CANDIDATE QUALIFICATIONS - 3–5 years of experience in data engineering, with a strong track record of building and maintaining scalable data pipelines and infrastructure. - Proven expertise with Snowflake and modern cloud data platforms (e.g., AWS, GCP); hands-on experience with data pipeline tools and orchestration frameworks. - Strong understanding of healthcare data—claims, EHR systems, and data integration patterns—or demonstrated ability to quickly learn complex domain-specific systems. - Healthcare-data security awareness and familiarity with best practices (e.g., HIPAA considerations, data governance, compliance) is a strong plus. - Excellent problem-solving skills and comfort with complex, ambiguous integration challenges—not just standard connector configuration. - Outstanding communication skills, capable of articulating complex technical and healthcare concepts to a diverse audience. - A team player who thrives in collaborative environments and values diverse perspectives. - Prior experience in a startup or fast-paced tech environment is a plus. WHY TENNR? - Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact. - Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure - Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system. - Build Relationships: collaborate and connect with like-minded, driven individuals in our Hudson Square office 4 days/week - Free lunch! Plus a pantry full of snacks.   BENEFITS - Beautiful new office at 345 Hudson Street - Unlimited PTO - 100% paid employee health benefit options - Employer-funded 401(k) match - Competitive parental leave

Location: Sydney, Australia 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 Head of Customer Success, APAC at Anthropic, you will build and lead our Customer Success function across Asia Pacific. You will scale a team of managers and CSMs who help our most strategic APAC customers realize the full value of Claude. This is a foundational leadership role: you will establish how we run CS in the region, hire and develop a multi-market team of managers, and partner closely with your global counterparts to deliver a globally consistent customer experience while localising where it matters. APAC is not one market. You will lead across India, Japan, Korea, ASEAN, and Australia and New Zealand (ANZ), each with its own buying culture, regulatory context, language needs and pace of AI adoption. You will work hand-in-hand with global GTM, Product and Engineering leaders to shape our APAC CS strategy, take APAC customer priorities back into the business, and drive adoption, retention and growth across some of the most exciting markets in the world. Key responsibilities Build and lead a multi-layered Customer Success organisation across APAC, managing managers and scaling the team responsibly as our APAC business grows. Define and execute the APAC CS strategy in close partnership with global CS leadership, aligning with the global agenda while localising approach, motion and programmes for APAC market dynamics. Own CS business outcomes including customer health, retention, expansion and satisfaction across APAC accounts. Hire, develop and coach a high-performing team of CS managers and individual contributors, building a culture that reflects Anthropic's values across Asia's diverse geographies, languages and working cultures. Partner with global CS, Sales, Product and Engineering teams so the voice of APAC customers reaches decision-making forums. Establish scalable processes, playbooks and operating cadences that work across APAC time zones (India to Japan, Korea and ANZ) and overlap responsibly with global teams. Represent Anthropic with senior customer stakeholders across APAC, leading executive engagements, QBRs and strategic account conversations with enterprises, digital natives, startups and public sector bodies. Build strong working relationships with APAC channel and cloud partners, and with systems integrators and consulting firms that shape enterprise AI adoption in the region. Contribute to global CS strategy as a senior leader, bringing an APAC perspective to team planning, segmentation and prioritisation. Help shape how we deploy AI responsibly with customers across APAC's varied regulatory environments, including data residency, privacy and sector rules in markets such as India, Japan, Korea, Singapore and Australia. Minimum qualifications 15+ years of experience in management consulting, technology consulting, professional services or customer-facing advisory roles, with a track record of advising senior client executives on complex transformation programmes. Experience building and leading multi-market Customer Success or Technical Success organisations, including managing managers Track record of scaling CS teams across APAC at enterprise software, SaaS or AI/ML companies Demonstrated ability to balance global alignment with regional localisation across multiple APAC markets and cultures. Strong people leadership: a clear philosophy on hiring, coaching and developing managers and senior ICs. Experience owning enterprise customer relationships and driving measurable business outcomes (retention, expansion, adoption) in APAC markets. Strong executive presence and the ability to represent a company credibly with C-suite stakeholders across APAC. Excellent cross-functional partnership skills, particularly working across time zones with global leadership teams. Preferred qualifications Experience leading Customer Success across APAC Working fluency in an APAC language (for example Japanese, Korean or an ASEAN language) or a strong record of leading teams that operate in those languages Experience standing up a CS function in a new APAC market from the ground up Background in API products, developer platforms or consumption-based business models Familiarity with AI/ML technologies and the ability to explain complex technical concepts to business audiences Experience working with APAC hyperscaler, channel and SI partners on joint customer delivery Track record of influencing global product roadmaps through structured customer feedback from APAC markets Passion for responsible AI development and deployment 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 the Role Anthropic is building the Forward Deployed Engineering team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Technical Deployment Leads (TDLs) and Forward Deployed Engineers (FDEs) embed with strategic customers to ship production AI applications that solve real business problems. Our delivery model pairs two roles: FDEs own the technical artifact, and TDLs own the engagement end to end, from statement of work (SOW) through production deployment. As a Manager of Technical Deployment in EMEA, you lead a team of TDLs embedded with strategic customers. You own engagement portfolio health across your team, set the bar for delivery quality, and define where we play: which customers and which use cases are ready for production AI today. Your work will directly influence Anthropic's product direction and establish Anthropic as the trusted partner for AI transformation across the region. This role is based in London. This is a player-coach role. You need to be credible in architecture conversations with a customer's engineering leads and equally comfortable in front of executive sponsors. You will also lead the most complex engagements yourself when the stakes call for it. Most of your impact will come through the people you hire and the standard you hold them to. You won't write production code, but you will pressure-test the technical decisions your TDL team makes with FDEs. Responsibilities Hire, develop, and retain a team of TDLs embedded in engagements across EMEA. Set a high bar for delivery judgment, technical fluency, and customer presence, and run the interview loop that holds that bar. Manage each TDL directly: regular 1:1s, clear expectations, direct feedback, and a growth plan. Build a bench that runs engagements well without you in the room. Define the delivery strategy for your portfolio: which kinds of companies we engage, which use cases we prioritize, and how that differs by market and industry. Hold each TDL accountable for a clear account strategy: what we want to achieve with the customer and the exit gates that tell us we got there. Own portfolio health across your team. Track which engagements are on track, at risk, or closing out, and intervene early when delivery drifts. Run engagement quality reviews with your team. Own customer outcomes across the portfolio. Hold the executive relationship with customer sponsors, run steering committees, and represent Anthropic with senior business, risk, legal, and engineering leaders. Make the staffing call for each engagement. Work with FDE managers to match TDLs and engineers to each customer, and adjust as scope changes. Lead the most complex engagements yourself. Take the TDL seat when engagement size, regulatory exposure, or organizational complexity calls for it, from SOW through production deployment. Set the bar for delivery excellence: SOW quality, MVP scoping, and value measurement. Ensure every engagement has a defensible impact story. Build regulatory requirements into how the team scopes and delivers, working with Legal, Security, and customer risk functions, so compliance shapes the plan from the start rather than blocking it late. Codify reusable solution patterns, evaluation frameworks, and technical playbooks across the team. Turn what works in the field into delivery infrastructure that lets the practice scale, and adapt global playbooks to EMEA markets. Partner with Sales to qualify engagements, shape scope, and inform SOWs. Partner with Marketing and Sales on EMEA go-to-market materials, reference cases, and positioning. Run the team's operating rhythm: engagement reviews, knowledge-sharing, and escalation support, and feed the wider post-sales cadence and dashboards. Set team goals tied to customer outcomes. Bring the field back to Anthropic. Surface delivery lessons and emerging use cases from EMEA to Product and Research, and represent the region in leadership discussions. Consistently uphold Anthropic's values as you lead your team. TDLs should be strong representatives of Anthropic's culture as they work within customer environments. Travel to customer sites across EMEA (25–50% expected), with occasional travel to the US. You May Be a Good Fit If You Have 8+ years leading enterprise AI/ML delivery, whether you came up as a founder, engineer, data scientist, or researcher and moved into deployments, with at least 3 years directly managing people who owned delivery outcomes. Have a track record of building and leading technical delivery teams in enterprise environments across more than one EMEA market, ideally including embedded or forward-deployed teams working at client sites. Have delivered AI/ML or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. Bring depth in at least one industry (e.g., financial services, healthcare and life sciences). You understand how security, compliance, and regulatory review shape what ships, and you can speak credibly with a CIO, a chief risk officer, and a head of engineering. Know the EMEA enterprise landscape: how buying and procurement differ across markets, and how regulatory requirements affect what customers can deploy. Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and judge whether a proposed agent design is realistic. Have experience with value-based scoping, including TCO/ROI quantification and post-deployment impact measurement. Thrive in ambiguity and bring structure where none exists. You have built a team, practice, or function from an early stage. Have executive presence: polished, credible, and concise with senior leaders in high-stakes settings, and just as effective in a hands-on engagement review with your team. Have strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. Working proficiency in a second European language such as German or French is a plus. 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: £190,000 — £230,000 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.

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. Anthropic is seeking an experienced GTM Recruiter to join our recruiting team. In this role, you'll partner closely with GTM leaders to hire the people who will shape how Anthropic operates, grows, and delivers on its mission. This role requires someone who can assess not just functional expertise, but also alignment with our values and the adaptability required to thrive in a fast-paced, high-growth environment. Responsibilities: Lead end to end recruiting for GTM roles Develop and execute strategic recruiting plans, including competitive mapping, targeted sourcing, and building long-term talent pipelines Build trusted partnerships with GTM leadership to understand business priorities, team structures, ideal candidate profiles, and required competencies across different functions Create exceptional candidate experiences that showcase Anthropic's mission, growth trajectory, and unique growth opportunity for GTM professionals Design and implement scalable recruiting processes that effectively assess functional expertise, business acumen, and cultural alignment Track recruiting metrics and use data to identify bottlenecks, optimize processes, and maintain a high-quality hiring bar Coach hiring managers on recruiting best practices, interview techniques, and strategies for building diverse, high-performing teams You may be a good fit if you: Have 5+ years of full-cycle recruiting experience with meaningful exposure to GTM functions Are comfortable working in ambiguous environments and help hiring teams build structure and excellent recruiting practices Have strong stakeholder management skills - you can share examples of frameworks you've built that drive hiring while coaching teams to improve their recruiting Are highly organized with strong attention to detail - you stay on top of data integrity and maintain regular touchpoints with candidates and hiring managers Are comfortable analyzing recruiting data and can connect key metrics to monitor recruiting health and maintain a great hiring experience Are passionate about AI's potential to positively impact the world while understanding its risks and limitations 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: Sofia, Sofiya, Bulgaria About us Constructor Labs is the research arm of Constructor Knowledge, based at Campus Ring 1 in Bremen, Germany. Our work is organized around three units: Knowledge Labs, Cyber Labs and Science Labs. We apply computing, software and robotics research to make scientists, teachers and students more effective, working with institutional partners that include CERN, NUS, Carnegie Mellon and Fraunhofer. Our EdTech practice produces research that runs in production. AI-supported remote proctoring is in use at the Irish Aviation Authority, Princess Nourah University and Saudi Electronic University, and our course delivery platform is used by CERN, EPFL, MariaDB and Acronis. For industry clients, we build tailored BSc, MSc and PhD pipelines, L&D operating models, AI upskilling programmes and customer training systems. Constructor Labs Solutions (CLS) is our client-facing systems integrator for the education and research sector, launching in September 2026. It brings audit and consultancy, content, platform, talent and R&D services together under a single contract, an offer few providers make to education buyers today. Delivery is orchestrated across several Constructor organizations: CUB, Nexford, Nexademy, EBAC, Constructor Labs and Constructor Tech. Our aim is to become the go-to systems integrator for education in EMEA by 2029. The role You will open EMEA markets for Constructor Labs Solutions as a quota-carrying individual contributor. The role rests on an established network among universities, online education providers, EdTech vendors and corporate L&D and research buyers, and on your ability to convert that network into signed engagements. You will work with the marketing and delivery teams to build pipeline, establish the CLS brand and develop a case-study library. Supporting you are a credible research institution, named production references, an existing Constructor and Constructor Tech client base, and delivery capability across five service lines that can be combined into a single proposal. The sales motion is consultative. Engagements typically open with a low-risk paid diagnostic (Technology Landscape Assessment, Curriculum Gap Analysis or Learning Strategy Advisory), which you then convert into a multi-line implementation or managed-service mandate. Initial engagements start at around €150–250K in lifetime value and grow from there. Sales cycles in public higher education run six to twelve months, so you will manage a long-cycle institutional funnel alongside faster corporate L&D deals. Reporting and scope Reports to: Director of Sales & Marketing, Constructor Labs Solutions (shared with the Constructor Labs GM during Phase 1). Level: Director, individual contributor. You will join an established sales team. Territory: EMEA, with initial focus on DACH (Germany, Austria, Switzerland) and the UK and Ireland. Named accounts agreed quarterly. Segments: traditional and online universities, EdTech providers and platform vendors, corporate L&D and corporate academies, research-intensive organizations, and publicly funded research programmes. Portfolio: all five CLS service lines, namely Audit & Consultancy, Content, Platform, Talent and R&D Services. Day-to-day, you will work with the Audit & Consultancy Practice Head on scoping, with Nexademy on content propositions, with Constructor Tech on platform architecture, and with the Labs' principal investigators, who join client conversations to provide subject-matter credibility. Knowing which expert belongs in which conversation is central to the role. What you will do Pipeline generation. Around 70% of your time is spent on outbound activity: your own network, conference presence, sector associations, procurement frameworks and targeted account campaigns, supported by marketing. Reference accounts. Sign the first reference clients in EMEA and develop each one into a published case study, an active sponsor and a source of introductions. Discovery and scoping. Map the client's learning or research operating model and quantify the problem in their own measures: cost per course, time to accreditation, completion rates, time-to-hire, research throughput. Shape a diagnostic that leads to a defined follow-on engagement. Conversion to implementation. Own the transition from paid diagnostic to multi-line mandate, with a target of converting half of all audit engagements. Proposals and bids. Assemble proposals across the five service lines with the practice heads, price them against the finance model and qualify them against margin floors. Lead RFP and framework responses, including public-sector tenders in Germany and the UK. Stakeholder coverage. Engage rectors, deans, CIOs, heads of digital learning, procurement, works councils, CLOs, HR directors and research directors. Maintain at least three engaged contacts on every opportunity above €200K. Partner channel. Recruit and manage regional partners, resellers, agencies and academic networks that extend reach beyond your direct coverage. Quota and forecasting. You carry an annual new-business quota, with quarterly KPIs covering pipeline coverage, audit conversion, average engagement value and blended margin. Maintain weekly pipeline hygiene in the CRM, submit a forecast you can defend, and flag slippage as soon as you see it. Market feedback. Report what EMEA buyers procure and what they decline, and how our pricing compares with Instructure, D2L, Cornerstone and the generalist integrators, so that the service catalogue can be adjusted. External representation. Speak at sector events and contribute to thought leadership alongside our principal investigators, building recognition for CLS among education buyers in your region. Targets and KPIs The role carries a quota set on net-new signed bookings (total contract value) in your territory, with a six-month ramp and a quarterly review: Net-new signed bookings (TCV) Reference clients signed Average engagement value Audit-to-implementation conversion Blended gross margin on signed work New qualified opportunities created Forecast accuracy What you bring Network in the sector. Eight or more years selling into education, research or corporate learning in EMEA, preferably DACH and/or the UK, with decision-maker relationships you can open within the first 90 days. You should be prepared to discuss your top 15 target accounts and the route into each. A closing record in complex services. Consistent achievement against a quota of €1M or more in professional services, consulting, systems integration or enterprise EdTech, covering six-figure deals, multi-stakeholder buying groups and six- to twelve-month cycles. Consultative selling. Experience selling scoped engagements whose deliverables were defined jointly with the client, and fluency in a recognized methodology such as MEDDIC, Challenger or Command of the Message. Domain credibility. The ability to hold a substantive conversation with a pro-vice-chancellor about digitalization, a CLO about competency frameworks or a research director about co-funded projects, together with a working understanding of how universities and research organizations buy: budget cycles, committee approval, procurement frameworks and public tender rules. Comfort in an early-stage unit. Experience building a territory or a new offering from a standing start, and the ability to sell a service catalogue that is still being completed. Languages. Business-fluent German and English . Both are required, since public education buyers in DACH contract in German. Commercial discipline. Rigorous CRM and forecasting practice, and a readiness to qualify out early rather than carry unlikely deals. Professional integrity. You will represent a research institution to universities and public bodies, so commitments made during the sales process must be ones delivery can meet. Nice to have Experience selling into publicly funded research programmes, or EU and national grant-co-funded projects (Horizon Europe, Innovate UK, BMBF). Working knowledge of the LMS/SIS landscape and its incumbents — Instructure, D2L, Cornerstone, Moodle, SAP SuccessFactors. Experience with UK public procurement frameworks (Crown Commercial Service, JISC) or German public tendering (VgV, e-Vergabe). Background in the education practice of a systems integrator, Big Four firm or consultancy. Prior success selling talent, recruitment or academic content services. French, Italian or Dutch as a third language. An existing speaking profile in the education or L&D community. Location and travel Candidates must be based in Europe and hold an existing, unrestricted right to work in their country of residence. Relocation is not offered for this position: the network the role depends on should already be in the market. Preferred bases are Germany, Switzerland, Bulgaria or the UK. The role is remote or hybrid, with regular time in Bremen and at the London commercial hub. Expect travel of up to 40% within EMEA for client meetings, tenders and sector events, plus occasional travel to other Constructor locations. What we offer Base salary and commission , weighted approximately 60/40 at on-target earnings, with accelerators above 100% of quota. The band is competitive for a Director-level individual contributor in DACH or the UK and depends on location and experience. A guaranteed ramp across the first two quarters while the pipeline is built. Commission on margin as well as revenue , so that well-scoped work is rewarded ahead of discounted work. Access to our researchers , including principal investigators, CERN-level data scientists, and education methodologists who will join your client meetings. An existing reference base , including named proctoring and platform deployments. Influence over the offering. As the key commercial voice in these markets, you will shape a service catalogue that is not yet fixed.

Location: London, England, United Kingdom About us Constructor Labs is the research arm of Constructor Knowledge, based at Campus Ring 1 in Bremen, Germany. Our work is organized around three units: Knowledge Labs, Cyber Labs and Science Labs. We apply computing, software and robotics research to make scientists, teachers and students more effective, working with institutional partners that include CERN, NUS, Carnegie Mellon and Fraunhofer. Our EdTech practice produces research that runs in production. AI-supported remote proctoring is in use at the Irish Aviation Authority, Princess Nourah University and Saudi Electronic University, and our course delivery platform is used by CERN, EPFL, MariaDB and Acronis. For industry clients, we build tailored BSc, MSc and PhD pipelines, L&D operating models, AI upskilling programmes and customer training systems. Constructor Labs Solutions (CLS) is our client-facing systems integrator for the education and research sector, launching in September 2026. It brings audit and consultancy, content, platform, talent and R&D services together under a single contract, an offer few providers make to education buyers today. Delivery is orchestrated across several Constructor organizations: CUB, Nexford, Nexademy, EBAC, Constructor Labs and Constructor Tech. Our aim is to become the go-to systems integrator for education in EMEA by 2029. The role You will open EMEA markets for Constructor Labs Solutions as a quota-carrying individual contributor. The role rests on an established network among universities, online education providers, EdTech vendors and corporate L&D and research buyers, and on your ability to convert that network into signed engagements. You will work with the marketing and delivery teams to build pipeline, establish the CLS brand and develop a case-study library. Supporting you are a credible research institution, named production references, an existing Constructor and Constructor Tech client base, and delivery capability across five service lines that can be combined into a single proposal. The sales motion is consultative. Engagements typically open with a low-risk paid diagnostic (Technology Landscape Assessment, Curriculum Gap Analysis or Learning Strategy Advisory), which you then convert into a multi-line implementation or managed-service mandate. Initial engagements start at around €150–250K in lifetime value and grow from there. Sales cycles in public higher education run six to twelve months, so you will manage a long-cycle institutional funnel alongside faster corporate L&D deals. Reporting and scope Reports to: Director of Sales & Marketing, Constructor Labs Solutions (shared with the Constructor Labs GM during Phase 1). Level: Director, individual contributor. You will join an established sales team. Territory: EMEA, with initial focus on DACH (Germany, Austria, Switzerland) and the UK and Ireland. Named accounts agreed quarterly. Segments: traditional and online universities, EdTech providers and platform vendors, corporate L&D and corporate academies, research-intensive organizations, and publicly funded research programmes. Portfolio: all five CLS service lines, namely Audit & Consultancy, Content, Platform, Talent and R&D Services. Day-to-day, you will work with the Audit & Consultancy Practice Head on scoping, with Nexademy on content propositions, with Constructor Tech on platform architecture, and with the Labs' principal investigators, who join client conversations to provide subject-matter credibility. Knowing which expert belongs in which conversation is central to the role. What you will do Pipeline generation. Around 70% of your time is spent on outbound activity: your own network, conference presence, sector associations, procurement frameworks and targeted account campaigns, supported by marketing. Reference accounts. Sign the first reference clients in EMEA and develop each one into a published case study, an active sponsor and a source of introductions. Discovery and scoping. Map the client's learning or research operating model and quantify the problem in their own measures: cost per course, time to accreditation, completion rates, time-to-hire, research throughput. Shape a diagnostic that leads to a defined follow-on engagement. Conversion to implementation. Own the transition from paid diagnostic to multi-line mandate, with a target of converting half of all audit engagements. Proposals and bids. Assemble proposals across the five service lines with the practice heads, price them against the finance model and qualify them against margin floors. Lead RFP and framework responses, including public-sector tenders in Germany and the UK. Stakeholder coverage. Engage rectors, deans, CIOs, heads of digital learning, procurement, works councils, CLOs, HR directors and research directors. Maintain at least three engaged contacts on every opportunity above €200K. Partner channel. Recruit and manage regional partners, resellers, agencies and academic networks that extend reach beyond your direct coverage. Quota and forecasting. You carry an annual new-business quota, with quarterly KPIs covering pipeline coverage, audit conversion, average engagement value and blended margin. Maintain weekly pipeline hygiene in the CRM, submit a forecast you can defend, and flag slippage as soon as you see it. Market feedback. Report what EMEA buyers procure and what they decline, and how our pricing compares with Instructure, D2L, Cornerstone and the generalist integrators, so that the service catalogue can be adjusted. External representation. Speak at sector events and contribute to thought leadership alongside our principal investigators, building recognition for CLS among education buyers in your region. Targets and KPIs The role carries a quota set on net-new signed bookings (total contract value) in your territory, with a six-month ramp and a quarterly review: Net-new signed bookings (TCV) Reference clients signed Average engagement value Audit-to-implementation conversion Blended gross margin on signed work New qualified opportunities created Forecast accuracy What you bring Network in the sector. Eight or more years selling into education, research or corporate learning in EMEA, preferably DACH and/or the UK, with decision-maker relationships you can open within the first 90 days. You should be prepared to discuss your top 15 target accounts and the route into each. A closing record in complex services. Consistent achievement against a quota of €1M or more in professional services, consulting, systems integration or enterprise EdTech, covering six-figure deals, multi-stakeholder buying groups and six- to twelve-month cycles. Consultative selling. Experience selling scoped engagements whose deliverables were defined jointly with the client, and fluency in a recognized methodology such as MEDDIC, Challenger or Command of the Message. Domain credibility. The ability to hold a substantive conversation with a pro-vice-chancellor about digitalization, a CLO about competency frameworks or a research director about co-funded projects, together with a working understanding of how universities and research organizations buy: budget cycles, committee approval, procurement frameworks and public tender rules. Comfort in an early-stage unit. Experience building a territory or a new offering from a standing start, and the ability to sell a service catalogue that is still being completed. Languages. Business-fluent German and English . Both are required, since public education buyers in DACH contract in German. Commercial discipline. Rigorous CRM and forecasting practice, and a readiness to qualify out early rather than carry unlikely deals. Professional integrity. You will represent a research institution to universities and public bodies, so commitments made during the sales process must be ones delivery can meet. Nice to have Experience selling into publicly funded research programmes, or EU and national grant-co-funded projects (Horizon Europe, Innovate UK, BMBF). Working knowledge of the LMS/SIS landscape and its incumbents — Instructure, D2L, Cornerstone, Moodle, SAP SuccessFactors. Experience with UK public procurement frameworks (Crown Commercial Service, JISC) or German public tendering (VgV, e-Vergabe). Background in the education practice of a systems integrator, Big Four firm or consultancy. Prior success selling talent, recruitment or academic content services. French, Italian or Dutch as a third language. An existing speaking profile in the education or L&D community. Location and travel Candidates must be based in Europe and hold an existing, unrestricted right to work in their country of residence. Relocation is not offered for this position: the network the role depends on should already be in the market. Preferred bases are Germany, Switzerland, Bulgaria or the UK. The role is remote or hybrid, with regular time in Bremen and at the London commercial hub. Expect travel of up to 40% within EMEA for client meetings, tenders and sector events, plus occasional travel to other Constructor locations. What we offer Base salary and commission , weighted approximately 60/40 at on-target earnings, with accelerators above 100% of quota. The band is competitive for a Director-level individual contributor in DACH or the UK and depends on location and experience. A guaranteed ramp across the first two quarters while the pipeline is built. Commission on margin as well as revenue , so that well-scoped work is rewarded ahead of discounted work. Access to our researchers , including principal investigators, CERN-level data scientists, and education methodologists who will join your client meetings. An existing reference base , including named proctoring and platform deployments. Influence over the offering. As the key commercial voice in these markets, you will shape a service catalogue that is not yet fixed.

Location: Bremen, Germany About us Constructor Labs is the research arm of Constructor Knowledge, based at Campus Ring 1 in Bremen, Germany. Our work is organized around three units: Knowledge Labs, Cyber Labs and Science Labs. We apply computing, software and robotics research to make scientists, teachers and students more effective, working with institutional partners that include CERN, NUS, Carnegie Mellon and Fraunhofer. Our EdTech practice produces research that runs in production. AI-supported remote proctoring is in use at the Irish Aviation Authority, Princess Nourah University and Saudi Electronic University, and our course delivery platform is used by CERN, EPFL, MariaDB and Acronis. For industry clients, we build tailored BSc, MSc and PhD pipelines, L&D operating models, AI upskilling programmes and customer training systems. Constructor Labs Solutions (CLS) is our client-facing systems integrator for the education and research sector, launching in September 2026. It brings audit and consultancy, content, platform, talent and R&D services together under a single contract, an offer few providers make to education buyers today. Delivery is orchestrated across several Constructor organizations: CUB, Nexford, Nexademy, EBAC, Constructor Labs and Constructor Tech. Our aim is to become the go-to systems integrator for education in EMEA by 2029. The role You will open EMEA markets for Constructor Labs Solutions as a quota-carrying individual contributor. The role rests on an established network among universities, online education providers, EdTech vendors and corporate L&D and research buyers, and on your ability to convert that network into signed engagements. You will work with the marketing and delivery teams to build pipeline, establish the CLS brand and develop a case-study library. Supporting you are a credible research institution, named production references, an existing Constructor and Constructor Tech client base, and delivery capability across five service lines that can be combined into a single proposal. The sales motion is consultative. Engagements typically open with a low-risk paid diagnostic (Technology Landscape Assessment, Curriculum Gap Analysis or Learning Strategy Advisory), which you then convert into a multi-line implementation or managed-service mandate. Initial engagements start at around €150–250K in lifetime value and grow from there. Sales cycles in public higher education run six to twelve months, so you will manage a long-cycle institutional funnel alongside faster corporate L&D deals. Reporting and scope Reports to: Director of Sales & Marketing, Constructor Labs Solutions (shared with the Constructor Labs GM during Phase 1). Level: Director, individual contributor. You will join an established sales team. Territory: EMEA, with initial focus on DACH (Germany, Austria, Switzerland) and the UK and Ireland. Named accounts agreed quarterly. Segments: traditional and online universities, EdTech providers and platform vendors, corporate L&D and corporate academies, research-intensive organizations, and publicly funded research programmes. Portfolio: all five CLS service lines, namely Audit & Consultancy, Content, Platform, Talent and R&D Services. Day-to-day, you will work with the Audit & Consultancy Practice Head on scoping, with Nexademy on content propositions, with Constructor Tech on platform architecture, and with the Labs' principal investigators, who join client conversations to provide subject-matter credibility. Knowing which expert belongs in which conversation is central to the role. What you will do Pipeline generation. Around 70% of your time is spent on outbound activity: your own network, conference presence, sector associations, procurement frameworks and targeted account campaigns, supported by marketing. Reference accounts. Sign the first reference clients in EMEA and develop each one into a published case study, an active sponsor and a source of introductions. Discovery and scoping. Map the client's learning or research operating model and quantify the problem in their own measures: cost per course, time to accreditation, completion rates, time-to-hire, research throughput. Shape a diagnostic that leads to a defined follow-on engagement. Conversion to implementation. Own the transition from paid diagnostic to multi-line mandate, with a target of converting half of all audit engagements. Proposals and bids. Assemble proposals across the five service lines with the practice heads, price them against the finance model and qualify them against margin floors. Lead RFP and framework responses, including public-sector tenders in Germany and the UK. Stakeholder coverage. Engage rectors, deans, CIOs, heads of digital learning, procurement, works councils, CLOs, HR directors and research directors. Maintain at least three engaged contacts on every opportunity above €200K. Partner channel. Recruit and manage regional partners, resellers, agencies and academic networks that extend reach beyond your direct coverage. Quota and forecasting. You carry an annual new-business quota, with quarterly KPIs covering pipeline coverage, audit conversion, average engagement value and blended margin. Maintain weekly pipeline hygiene in the CRM, submit a forecast you can defend, and flag slippage as soon as you see it. Market feedback. Report what EMEA buyers procure and what they decline, and how our pricing compares with Instructure, D2L, Cornerstone and the generalist integrators, so that the service catalogue can be adjusted. External representation. Speak at sector events and contribute to thought leadership alongside our principal investigators, building recognition for CLS among education buyers in your region. Targets and KPIs The role carries a quota set on net-new signed bookings (total contract value) in your territory, with a six-month ramp and a quarterly review: Net-new signed bookings (TCV) Reference clients signed Average engagement value Audit-to-implementation conversion Blended gross margin on signed work New qualified opportunities created Forecast accuracy What you bring Network in the sector. Eight or more years selling into education, research or corporate learning in EMEA, preferably DACH and/or the UK, with decision-maker relationships you can open within the first 90 days. You should be prepared to discuss your top 15 target accounts and the route into each. A closing record in complex services. Consistent achievement against a quota of €1M or more in professional services, consulting, systems integration or enterprise EdTech, covering six-figure deals, multi-stakeholder buying groups and six- to twelve-month cycles. Consultative selling. Experience selling scoped engagements whose deliverables were defined jointly with the client, and fluency in a recognized methodology such as MEDDIC, Challenger or Command of the Message. Domain credibility. The ability to hold a substantive conversation with a pro-vice-chancellor about digitalization, a CLO about competency frameworks or a research director about co-funded projects, together with a working understanding of how universities and research organizations buy: budget cycles, committee approval, procurement frameworks and public tender rules. Comfort in an early-stage unit. Experience building a territory or a new offering from a standing start, and the ability to sell a service catalogue that is still being completed. Languages. Business-fluent German and English . Both are required, since public education buyers in DACH contract in German. Commercial discipline. Rigorous CRM and forecasting practice, and a readiness to qualify out early rather than carry unlikely deals. Professional integrity. You will represent a research institution to universities and public bodies, so commitments made during the sales process must be ones delivery can meet. Nice to have Experience selling into publicly funded research programmes, or EU and national grant-co-funded projects (Horizon Europe, Innovate UK, BMBF). Working knowledge of the LMS/SIS landscape and its incumbents — Instructure, D2L, Cornerstone, Moodle, SAP SuccessFactors. Experience with UK public procurement frameworks (Crown Commercial Service, JISC) or German public tendering (VgV, e-Vergabe). Background in the education practice of a systems integrator, Big Four firm or consultancy. Prior success selling talent, recruitment or academic content services. French, Italian or Dutch as a third language. An existing speaking profile in the education or L&D community. Location and travel Candidates must be based in Europe and hold an existing, unrestricted right to work in their country of residence. Relocation is not offered for this position: the network the role depends on should already be in the market. Preferred bases are Germany, Switzerland, Bulgaria or the UK. The role is remote or hybrid, with regular time in Bremen and at the London commercial hub. Expect travel of up to 40% within EMEA for client meetings, tenders and sector events, plus occasional travel to other Constructor locations. What we offer Base salary and commission , weighted approximately 60/40 at on-target earnings, with accelerators above 100% of quota. The band is competitive for a Director-level individual contributor in DACH or the UK and depends on location and experience. A guaranteed ramp across the first two quarters while the pipeline is built. Commission on margin as well as revenue , so that well-scoped work is rewarded ahead of discounted work. Access to our researchers , including principal investigators, CERN-level data scientists, and education methodologists who will join your client meetings. An existing reference base , including named proctoring and platform deployments. Influence over the offering. As the key commercial voice in these markets, you will shape a service catalogue that is not yet fixed.

Xometry is an on-demand manufacturing marketplace connecting customers with manufacturers for custom industrial parts. As Staff Product Manager for Pricing, you will own the strategy and roadmap for pricing and manufacturability across the EMEA region, a technical, cross-functional role at the intersection of pricing strategy, manufacturing domain expertise, and applied AI. Задачи: — Define and drive a multi-year roadmap for pricing and manufacturability in Europe, translating market dynamics, competitive positioning, and customer behavior into a pricing strategy that accelerates sales growth without sacrificing margin discipline. — Lead the Intelligent DFM Workbench systems and models that determine pricing of custom parts across European markets, identifying and closing gaps where pricing is too slow, rigid, or disconnected from manufacturability cost. — Partner with global product, data science, and ML engineering teams to adapt and scale AI-driven pricing and manufacturability solutions for Europe, including geometry-based cost estimation, manufacturability scoring, and pricing optimization models. — Define and track key metrics such as win rate, price realization, quote-to-order conversion, margin accuracy, and manufacturability sign-off latency to prioritize the roadmap. — Act as the hub between Sales, Sourcing, Data Science, Engineering, and regional leadership across Europe, presenting strategy, trade-offs, and ROI to executive leadership regionally and globally. — Represent Europe in global strategy to ensure market realities shape Xometry's global pricing and AI product direction. Требования: — 8+ years of product management experience, including leading AI/ML-powered or technical products in B2B, marketplace, or manufacturing/engineering environments. — Experience owning a system of record or complex data contract with human-in-the-loop workflows. — Experience designing policy-driven workflows such as approval routing, tiered sign-off, escalation logic. — Ability to operate across regions and stakeholder groups to maintain a single global design standard. — Exceptional written and verbal communication skills to distill technical and operational complexity for engineers and executives. — Rigorous, data-driven approach to prioritization, experimentation, and measuring impact on cycle time, quality, and customer/partner satisfaction. — Familiarity with manufacturing processes and DFM principles (CNC machining, sheet metal, additive manufacturing, injection molding) is a strong plus. — Comfort with geometry-based feasibility rules. — Track record partnering with data science and ML engineering teams to ship models into production; experience with computer vision, 3D/geometric analysis, or applied LLM/VLM is a plus. — Bachelor's degree in Engineering, Computer Science, Business, or related field; advanced degree (MBA, MS) is a plus. Xometry is an equal opportunity employer; all applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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 the role As a Partners Solutions Architect on Anthropic's Applied AI team, you'll be a pre-sales architect focused on building technical relationships with our Global and Regional System Integrators (GSIs/RSIs) and cloud partners (AWS and GCP). You'll strengthen these relationships to accelerate indirect revenue, enable partners' AI practices, and execute our long-term go-to-market strategy. Responsibilities Strategic technical partnership: Act as a technical thought partner to the Anthropic GTM partnerships team. Bring technical expertise to help us understand the partner landscape, drive key strategic programs, and find ways to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, and evangelize Anthropic in their developer communities. You'll also serve as an escalation point for complex technical issues. Joint solution development: Work with partners to identify high-value, industry-specific GenAI applications, develop joint solutions, and codify reference architectures and best practices that speed time to deployment. Customer deal support: Step in to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner ecosystem and events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. Product feedback: Gather and validate feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns. Deliver it to the relevant Anthropic teams to inform the product roadmap and partner strategy. You may be a good fit if you have 5+ years in technical customer-facing or partner-facing roles, such as Solutions Architect, Sales Engineer, Partner Sales Engineer, or Technical Account Manager A track record of partnering successfully with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships and communicate technical concepts to diverse stakeholders, including C-suite executives and engineering and IT teams Strong presentation and technical communication skills, with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools, or a background in machine learning or data science Enthusiasm for cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed A passion for using technology in ways that are safe and beneficial, and that advance the goal of safe AI systems 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: £150,000 — £190,000 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.