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Location: New York, NY Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: The TradFi/Settlement Principal Lead is the specialist voice on how traditional financial infrastructure actually works, and what it takes to rebuild it for digital assets. This is a deep-domain role, not a generalist PM function: you need hands-on experience on both sides — settlement, custody, and post-trade flows inside a TradFi institution, and the equivalent flows inside a digital asset or blockchain environment (tokenization, on-chain settlement, digital custody). You understand the full institutional trade lifecycle end to end, and how it maps — and doesn't map — onto digital asset rails. You will partner directly with DIS leads on the vision and strategy for our custom build engagements, co-own product direction for those builds, and translate complex institutional requirements into specs that engineering can execute against without guesswork. You are comfortable challenging assumptions — client-side and internal — and pushing back when a requirement doesn't hold up against how the lifecycle actually operates, on either side of the TradFi/digital asset divide. This is a client-facing role. You will run discovery directly with Tier-1 institutional stakeholders, from operations and engineering teams to senior executives, and you will be the person in the room who can tell the difference between a real settlement constraint and an assumed one — in both the TradFi world and the digital asset world. What You’ll Do: Partner with DIS leads on the product vision and strategy for custom build engagements, owning prioritization and direction as the work moves from concept to delivery Serve as the team's specialist on settlement, clearing, and post-trade flows across both TradFi and digital assets — bring deep, current knowledge of the institutional trade lifecycle (custody, settlement cycles, corporate actions, reconciliation) and how it translates on-chain, into every requirement Translate institutional and regulatory requirements into clear, buildable specs and acceptance criteria that engineering can execute against with minimal rework Run discovery and requirements sessions directly with client stakeholders, from engineers to senior operations and technology leaders, and define success in their terms Challenge ideas and assumptions — both the client's and the team's — pressure-testing every requirement against how TradFi infrastructure actually behaves today and where it needs to change for digital assets Partner closely with the Architect and engineering leads to make sure product decisions hold up technically, and stay in the details when it matters Serve as the voice of the client internally and the voice of the roadmap externally, keeping delivery and client expectations aligned as requirements evolve Embrace and champion the thoughtful adoption of AI tools to improve team performance, decision-making, and output quality What We’re Looking For: Deep, hands-on TradFi experience with settlement systems, post-trade flows, and the full institutional trade lifecycle — custody, clearing, settlement, reconciliation Equally deep, hands-on experience with digital asset or blockchain infrastructure — tokenization, on-chain settlement, digital custody. This role requires genuine fluency in both worlds; a TradFi background alone, or a digital-assets background alone, is not sufficient Proven experience as a Product Owner or Product Lead who has shipped complex, regulated financial infrastructure, not just consumer or generic B2B products Comfort operating as a specialist rather than a generalist — real depth in one domain matters more here than breadth across many Client-facing experience with Tier-1 financial institutions; credible in working sessions with engineers and in briefings with senior stakeholders A strong point of view and the willingness to challenge requirements, assumptions, and even senior stakeholders when the details don't hold up Ability to translate ambiguous, cross-functional institutional requirements into structured specs engineering can build against Experience partnering closely with technical leadership on vision and strategy, not just backlog execution Bonus Points: Background at a custodian, clearinghouse, prime broker, or other post-trade infrastructure provider on the TradFi side, or a digital asset custodian/exchange on the crypto side Formal product management experience inside a regulated fintech or capital markets environment Fluency in payments rails and trading systems alongside settlement Experience having personally led a build that bridged a TradFi institution onto digital asset rails (e.g., a tokenization pilot, on-chain settlement project What We Offer: Competitive base salary and discretionary bonus Hybrid/Flexible Working Arrangements Flexible Time Off (paid) 3% 401(k) company contribution Company-paid health and protective benefits for employees, partners, and other dependents Generous paid Parental Leave Competitive family planning benefits for US employees Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Free daily snacks and weekly breakfasts/lunches Employee Resource Groups Free coaching and counseling sessions through Headspace Apply now and join us as we grow the economy that runs on code. The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives. Base Salary Range $200,000 — $250,000 USD Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: London, England, United Kingdom About Wheely Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts. We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you. About The Role Wheely for Business (W4B) serves companies and partners whose executives and guests expect discretion, reliability and quality: financial institutions and law firms, private aviation operators, five-star hotels and more. Each of these segments buys and uses Wheely differently. Built mostly in London, Wheely for Business has an established and growing client base. Our ambition for W4B is to reach $100M GMV in the next four years. We're looking for a General Manager to make that happen. Reporting to the CEO, you'll own the commercial performance of Wheely for Business globally. This is not only a sales role. You'll need to work out which segments and markets to prioritise, what each needs from our product and service, and how to win them, then build the team and engine to deliver it. That includes leading the expansion into enterprise clients and building our B2B business in the US as Wheely launches expands beyond New York to Los Angeles, Miami and DC. This is a builder's role. You'll inherit a small, capable team: a sales across London/Paris and a dedicated W4B product squad. The product manager reports directly to you, and the squad works full-time on Wheely for Business. There is no marketing or customer success function yet; you'll build them. You'll have the autonomy, budget and CEO backing to shape the business as you see fit. The role can be based in London or New York, with regular travel between the two. Responsibilities Set the strategy. Decide which segments, markets and channels to prioritise, how to position and price for each, and where to invest. Corporate clients, hotels and private aviation partners have different needs and buying processes. Build the US commercial team. Hire and lead sales and account management in the US as we scale city by city. Grow existing clients. Expand within our current accounts. Many of our London clients have major US operations, and winning those offices is a core early priority. Win the enterprise market. Our product is better than what most large companies use today, but enterprises buy through procurement and RFPs. You'll build the motion, team and partnerships to win those deals. Build marketing and customer success from scratch. Including account-based marketing, events, and our relationships with executive assistants, who are often our most important users. Own the W4B product roadmap. Lead our dedicated product squad to deliver what clients and partners need: integrations with booking and expense tools, approval flows, reporting, and security certifications. Requirements We're open to two kinds of background: Exceptional generalists: a strong academic record and an early career in investment banking, strategy consulting, private equity or venture capital, followed by operating experience where you owned commercial results. Commercial leaders: a track record of scaling a B2B commercial organisation fast, including selling to large companies through procurement, long sales cycles and senior stakeholders. Either way, you'll bring: Strong analytical and problem-solving skills. Leadership people want to follow, with the ability to develop the existing team while hiring new talent. Meaningful experience in the US market: building a team, selling to US clients, or leading a business there. Willingness to travel regularly between London and the US. All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for distributed systems engineers and product-minded generalists to build the distributed runtime that powers large-scale LLM inference on Baseten. Our inference platform empowers customers to deploy and operate cutting-edge models with industry-leading performance, scalability, and reliability. It also powers Model APIs, our hosted endpoints for the latest open-source models. You'll work across the stack, from the developer experience customers use to deploy models, through the libraries behind features like tool calling and reasoning, down to the systems that orchestrate deployments on Kubernetes and route traffic efficiently. Your job is to make sure every model on our platform is fast, reliable, and cost-efficient. You'll join a small, high-impact team at the intersection of distributed systems, model performance, infrastructure, and product, helping define how developers use AI models at scale. This role is ideal for engineers who enjoy owning systems in production, solving hard integration problems, and making complex infrastructure simple and reliable for users.   EXAMPLE INITIATIVES You'll get to work on these types of projects on our Inference Platform: - The Baseten Inference Stack at NVIDIA Dynamo Day https://www.baseten.co/blog/nvidia-dynamo-day-baseten-inference-stack/ - 2x faster inference with KV cache-aware routing https://www.baseten.co/blog/how-baseten-achieved-2x-faster-inference-with-nvidia-dynamo/ - How Baseten multi-cloud capacity management (MCM) unifies deployments https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/#comparing-deployment-options-cloud-vs-self-hosted-vs-hybrid RESPONSIBILITIES - Build the infrastructure and orchestration systems that deploy and run large-scale distributed LLM inference, including routing, autoscaling, scheduling, and runtime management. - Design, build, and operate Model APIs, with a focus on advanced inference capabilities: structured outputs (JSON mode, grammar-constrained generation), tool/function calling, and multimodal serving. - Implement platform fundamentals such as API versioning, validation, usage metering, quotas, and authentication. - Instrument deep observability (metrics, traces, logs) and build repeatable benchmarks for speed, reliability, and quality. Help set best practices for testing, release automation, and operational excellence. - Debug and harden complex production systems spanning Kubernetes, distributed runtimes, networking, and GPU workloads to improve reliability and scalability. - Partner with Inference Performance engineers and other teams to make new optimizations broadly available to customers and easy to configure. - Own projects end to end, from architecture through deployment, monitoring, and iteration on customer feedback. Along the way, make thoughtful tradeoffs between performance, reliability, operational simplicity, and developer experience.   REQUIREMENTS - Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related field, or equivalent practical experience. - 3+ years building and operating distributed systems, backend infrastructure, or large-scale APIs where reliability, latency, and scale are first-class concerns. - A proven track record of owning low-latency, reliable backend services, including rate limiting, auth, quotas, metering, and migrations. - Infrastructure instincts with a feel for performance: profiling, tracing, capacity planning, and SLO management. - Comfort debugging performance and reliability issues across multiple layers of the stack, from application behavior down to runtime and infrastructure internals. - A strong sense of developer experience. You think about how systems are used, not just how they work. - Eagerness to learn new languages, frameworks, and systems, and a real interest in inference engineering. Prior ML or LLM experience isn't required, though experience with model serving or inference systems is a plus. - Excellent written communication and collaboration skills, including writing clear design docs and working across functions.   NICE TO HAVE - Experience with or contributions to LLM inference engines and frameworks such as vLLM, SGLang, TensorRT-LLM, TGI, or Dynamo. - Deep Kubernetes experience, including operators and custom resources, plus familiarity with service meshes or API gateways. - Experience with distributed scheduling, autoscaling, or service orchestration. - Experience operating GPU workloads in production. - A background in developer-facing infrastructure or APIs, or contributions to open-source infrastructure or ML systems. - Familiarity with observability tooling, CI/CD systems, or release automation. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Frontier AI is on track to be among the most consequential and most adversarially-targeted technology in the world. The capability curve is steep, the adversaries who want these systems are extremely well-resourced, and the security bar this will eventually require is well beyond where the industry operates today. Incremental hardening alone is not going to close that gap, so we need breakthroughs and a group of people to go find them. Security Labs is that team. We run a portfolio of high-risk, high-expected-value security projects: the work that seems impractical until someone optimistic and stubborn enough actually tries it. Projects run on the order of weeks rather than quarters, and each one is either handed off to the Anthropic team that will own it in production or wound down with a writeup of what we learned. We expect a meaningful fraction of our bets not to land. This team is intentionally scrappy and ambitious. We're intentionally iterating fast on high-risk research bets and we expect a meaningful fraction not to land. If a 30% project success rate sounds uncomfortable, or uncharted and chaotic territory isn’t both frightening and exciting, this probably isn't the right fit. There are other places in Anthropic Security doing important work with more structure, less risk, and more certain paths to positive outcomes. The questions we're trying to answer include: Can our core research workflows survive extreme isolation? Can we replace trust with cryptographic guarantees? Can the models themselves become our most effective security control? What would it actually take to defend against a tier-1 state adversary, and how much of that can we build now? Who we're looking for. We're hiring generalists with rare depth. You're a strong software engineer as a baseline, and on top of that you've gone deep in at least one area most engineers don't get near: firmware or hardware security, applied cryptography, OS / kernel / hypervisor internals, formal methods, reverse engineering, or high-assurance and cross-domain systems. You've built things under your own direction, you're comfortable jumping layers when the problem demands it, and you'd rather take a swing at something that might not work than ship the safe incremental thing. You think the trajectory of AI matters a great deal, you're not comfortable with how the security side of it is going by default, and you'd rather be on the inside building the answer than watching from outside. Current Project Areas The portfolio changes as we learn. The kinds of bets currently in flight or queued: Standing up a prototype high-assurance research cluster: running real Anthropic training and research workloads under extreme isolation and physical security controls, and finding out exactly where productivity breaks and what we'd need to invent to get it back Provable inference: cryptographic verification (zero-knowledge proofs, attestation chains) that a given output came from a specific model running specific code, replacing "trust us" with math Build hypervisor-isolated microVM workload isolation across the fleet Compiling an ML kernel through a formally verified pipeline where every lowering step carries a machine-checked proof of equivalence, making compilation-layer sabotage mathematically detectable Regenerating clusters: automation that spins up a purpose-built cell, runs a workload, and tears the whole thing down on a TTL measured in hours, so attacker persistence has an expiry date Using Claude itself to drive security work end to end: threat modeling new compute platforms, rewriting critical services to zero external dependencies, running the test equipment that validates what hardware datasheets claim Part of your job is deciding what comes next. We hire people we trust to pick good bets, and project selection is owned by the engineers doing the work. Key responsibilities Own Security Labs projects end to end. You'll scope the bet, build the prototype, run it against real workloads, and bring it to either a hand-off or a documented exit Stand up novel security infrastructure fast (isolated clusters, attestation chains, hypervisor and runtime work, verification tooling) optimizing for what we learn rather than for permanence Find the receiving team early, bring them along while you build, and hand them something they actually want to own Work embedded with research and infrastructure teams (Pretraining, RL, Inference, Compute) to test whether their workflows survive what you're proposing, and document precisely where they don't Turn experimental results into short writeups that shape Anthropic's long-term security architecture, and into costed contingency plans we could execute on short notice Help pick the next round of bets and influence the industry to get better along the way Minimum qualifications Genuinely care about where AI is heading and want to work on the security problems that determine whether it goes well. This is the most important thing on this list Have real depth in at least one area most software engineers don't touch (e.g. firmware or hardware security, applied cryptography, OS / kernel / hypervisor internals, formal methods and verification, reverse engineering and exploit development, or high-assurance / cross-domain systems) Have built and shipped things under your own direction. Maybe you founded a company or research group, maintained an open-source project other people depend on, or shipped research that changed how people in your field work. We weight this far more than where you've worked or for how long Have a track record of choosing the problem yourself and seeing it through, rather than only executing a plan someone else handed you Are comfortable jumping between domains and layers of the stack when the problem calls for it, and have actually done so Have run prototypes or experiments where the goal was answering a hard question rather than shipping a permanent system, including ones that didn't pan out Write clearly enough to turn weeks of work into a couple of pages someone can act on Change your mind when the evidence says to, and are fine being the least-expert person in a room full of specialists Care about defense. Plenty of folks here come from offense and that background is valuable, but what you actually want to spend your time on now is making systems hold up Are a strong programmer (Python plus at least one of Rust, Go, or C/C++) and can stand up real infrastructure without that being the interesting part of your week Preferred qualifications Experience inside airgapped or high-side environments (classified networks, cross-domain solutions, ICS/SCADA, financial trading infrastructure) and the operational realities of working in them A background in offensive security, red teaming, or vulnerability research, with calibrated intuitions for which threats actually matter Familiarity with ML infrastructure (training pipelines, distributed schedulers, inference serving, accelerator hardware) sufficient for grounded conversations with researchers about what their workloads actually need A history of working in environments built around rapid iteration rather than rigid change control: startups, applied research groups, independent consulting, small security shops The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Aya Napa, Cyprus; Larnaca, Cyprus; Limassol, Cyprus; Nicosia, Cyprus; Paphos, Cyprus; Paralimni, Cyprus Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Equity Analyst to join one of our clients' teams from Cyprus. International Private Equity Fund for its public equity and fixed income product line is looking for BUY SIDE ANALYST (GENERALIST) to cover US and EUROPEAN equities. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Responsibilities: Real estate and private equity project analysis; Running and updating financial project models; Building models and presentation materials for the internal use and partners/investors pitches; Collaboration with sell side analysts, companies/partner financial analysts/ investor relations; Credit analysis of international bond issuers and watch lists modeling in Excel/Bloomberg; International equity analysis for portfolio management, creation and keeping up to date equity watch lists; Downloading and statistical data analysis for back date investment ideas testing; Execution ad hoc assignments. Practical skills in business models/cash flow projections models for companies/projects; Practical skills in knowledge navigating around terminology for financial and credit analysis; Practical experience in trading securities is a plus but not required; Practical skills in sector/company/project analysis, SWOT-analysis; Valuation methodology knowledge for companies/projects; Good navigation skills through company’s accounting data and reports; Ability to sift through the large data loads; Basic skills to look up needed data in the open sources; Ability to accurately work with the large quantitative data; Experience and practical knowledge in financial presentations preparation; Practical experience building financial models in Excel, Power point, Visio; SQL programming is a plus; Statistical analysis programming knowledge is a plus; Perfect command of English is a must. Ability to digest financial technical documentation and research/financial statements reports. Russian or any other languages is a plus but not required.

Location: New York, New York, United States About Wheely Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts. We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you. About The Role Wheely for Business (W4B) serves companies and partners whose executives and guests expect discretion, reliability and quality: financial institutions and law firms, private aviation operators, five-star hotels and more. Each of these segments buys and uses Wheely differently. Built mostly in London, Wheely for Business has an established and growing client base. Our ambition for W4B is to reach $100M GMV in the next four years. We're looking for a General Manager to make that happen. Reporting to the CEO, you'll own the commercial performance of Wheely for Business globally. This is not only a sales role. You'll need to work out which segments and markets to prioritise, what each needs from our product and service, and how to win them, then build the team and engine to deliver it. That includes leading the expansion into enterprise clients and building our B2B business in the US as Wheely launches expands beyond New York to Los Angeles, Miami and DC. This is a builder's role. You'll inherit a small, capable team: a sales across London/Paris and a dedicated W4B product squad. The product manager reports directly to you, and the squad works full-time on Wheely for Business. There is no marketing or customer success function yet; you'll build them. You'll have the autonomy, budget and CEO backing to shape the business as you see fit. The role can be based in London or New York, with regular travel between the two. Responsibilities Set the strategy. Decide which segments, markets and channels to prioritise, how to position and price for each, and where to invest. Corporate clients, hotels and private aviation partners have different needs and buying processes. Build the US commercial team. Hire and lead sales and account management in the US as we scale city by city. Grow existing clients. Expand within our current accounts. Many of our London clients have major US operations, and winning those offices is a core early priority. Win the enterprise market. Our product is better than what most large companies use today, but enterprises buy through procurement and RFPs. You'll build the motion, team and partnerships to win those deals. Build marketing and customer success from scratch. Including account-based marketing, events, and our relationships with executive assistants, who are often our most important users. Own the W4B product roadmap. Lead our dedicated product squad to deliver what clients and partners need: integrations with booking and expense tools, approval flows, reporting, and security certifications. Requirements We're open to two kinds of background: Exceptional generalists: a strong academic record and an early career in investment banking, strategy consulting, private equity or venture capital, followed by operating experience where you owned commercial results. Commercial leaders: a track record of scaling a B2B commercial organisation fast, including selling to large companies through procurement, long sales cycles and senior stakeholders. Either way, you'll bring: Strong analytical and problem-solving skills. Leadership people want to follow, with the ability to develop the existing team while hiring new talent. Meaningful experience in the US market: building a team, selling to US clients, or leading a business there. Willingness to travel regularly between London and the US. All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Large teams of agents are starting to solve problems no single agent can, from rewriting major codebases to formalizing landmark mathematics. Our team studies how these teams scale: what happens to performance, cost and coordination as the number of agents, the compute budget and the length of the task grow, and what has to change to keep getting returns from that scale. We build the platform and evaluations Anthropic uses to run and measure large agent teams, and other research teams build on them. This role lives at the boundary between research and engineering. It is a generalist role on a small team: you'll design and run large experiments, build the systems they run on, and get to the bottom of surprising results. We often need to go from a vague question to a running experiment quickly. Responsibilities: Design, run and interpret large-scale experiments on agent teams, reasoning rigorously about what the data does and doesn't show Investigate how performance and efficiency change as team size, compute and task horizon grow, and find the bottlenecks that limit them Build and scale the systems that run very large agent teams reliably, and debug the failures that only appear at scale Design evaluations for long-horizon problems, and keep their results trustworthy Build the tooling and metrics that let researchers see what a large agent team is doing and why Partner with research teams across Anthropic so they can run their own experiments on the platform, and communicate findings clearly You may be a good fit if you: Have significant software engineering, ML or research engineering experience Have owned something substantial end to end, such as a large system, an evaluation or benchmark, an agent product, or a research project Genuinely enjoy both research and engineering work Think quantitatively about complex systems, and think twice before trusting a number Can work from a vague question rather than a spec Are results-oriented, with a bias towards flexibility and impact Have clear written and verbal communication Care about the societal impacts of your work Strong candidates may also have: Experience building or operating large-scale distributed systems, such as schedulers, sandboxed code execution, or inference and RL infrastructure Built evaluations, benchmarks or harnesses for LLMs or agents Experience building complex agentic systems that use LLMs Experience with scaling laws or other large-scale empirical research A background in operations research, statistics, economics, physics, quantitative finance, or another field that models and optimizes complex systems Strong candidates need not have: Formal certifications or education credentials Academic research experience or publication history Prior experience with multi-agent systems or reinforcement learning Representative projects: Measure how performance scales with the number of agents on a hard problem, and explain where the curve bends and why Prepare our largest-ever agent run: find what breaks as team size and task length grow together, and fix it before launch Work out how to allocate a fixed compute budget across a team of agents to solve a problem fastest Build tooling that turns the activity of a large agent team into something a researcher can read in minutes Design a novel eval that distinguishes real gains in teamwork from artifacts of the evaluation setup The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Anywhere Job Description: B12's engineering team views software as a craft, but improving the world as the reason to practice it. Our engineers are responsible for prioritizing, conceptualizing, co-designing, building, testing, and engaging users for any concept we are building out. We’re generalists in encouraging each other to experience the full stack, but we’re also aware of each other’s preferences in the stack. For this role in particular, we’re searching for a tenured full-stack engineer who brings strong backend/infrastructure skills (and an interest in using them) to the product. We mentor and teach where we can, both inside and outside of the company, and as a Staff Software Engineer, you will be responsible not only for your ownership of major projects, but also mentorship of the team members with whom you ship those projects. We value sharing our work with the outside world. Our team has published papers on forming expert flash teams and machine-mediated worker hierarchies. We’ve baked our research into various open source tools in the space of creativity, expertise, and knowledge work. We hope our engineers have more longevity than any one tool we use, but here is a sampling of our current thoughts about technology: We live on Python/Django and TypeScript/React. We store blobs in Amazon’s S3, munch on them in Amazon’s EC2, develop in Docker, and deploy containers to Amazon’s Elastic Beanstalk. We believe PostgreSQL should be the first system you consider when thinking about persisting structured data. We clean and centralize data in Amazon’s Redshift, and are able to answer almost any question in SQL. We leverage AI in our product and our internal tooling, and faced with a landscape in constant flux, try to pick the right model or agent on a task-by-task basis. Our new code is almost 100% LLM-generated, and we’ve thought hard about ensuring quality in the face of ever-increasing review loads , what processes humans are still best a t, and how the practice of mentorship must adapt in the face of these new tools . We have near-full test coverage on the backend, and are making progress on our frontend and integration tests. We set up continuous integration and deployment because, while this model comes with its own pains, we’ve disliked being on fixed release schedules on previous projects. We like to move fast and support point-in-time recovery :). You’d be a good fit if You have 10 or more years of experience building products and systems in production. You are an amazing communicator. You feel comfortable managing your time and deciding among competing priorities. You are curious. You have a high ownership mentality. You enjoy learning and teaching. You are comfortable working with backend and frontend technologies, but have a deeper background and interest on the backend/infrastructure side. You care about and want to contribute to our mission of helping people do meaningful work. What does a staff engineer do here? This is B12’s first Staff Engineer hire on a ~10-person product team that includes a designer, product manager, and CTO. To understand what we’re looking for in someone with this much experience, here are some concrete examples of tasks you’d work on in a month: Own the delivery of a project of the magnitude “we ship one or two of these a quarter,” both individually shipping code and rallying and supporting team members in doing so. Participate in quarterly planning to identify key projects to work on next quarter. Mentor other engineers who are in the planning, prototyping, or implementation phases of a project. Respond to an incident, write up a postmortem, and improve tooling and infrastructure to help us prevent or more quickly respond to the issue and others like it in the future. Identify and optimize some infrastructure that costs too much, is too slow, or isn’t stable enough. Discuss an early design/prototype with a designer or product manager to help shape its direction and explain what will be easy or hard to implement. Unblock an operational team member on a data analysis project that answers a hairy question facing our business. Run a brainstorm with engineers to identify how we might work more effectively or ship with a higher level of quality. Don’t fear: We highly favor talent and interest. Some candidates may see this list and feel discouraged because they don’t match all the items. Please apply anyway: there’s a good chance you’re more wonderful than you think you are. B12 is a safe place for human beings. We particularly encourage you to apply if you identify as a woman, are a person of color or other underrepresented minority, or are a member of the LGBTQIA community.

Location: London, United Kingdom Workplace: remote Join Our Vision: We are building the next generation of Spatial Media - a new way people experience videos through interaction, multi-user presence, haptics, AI, and immersive storytelling. DeoVR is the leading immersive streaming technology serving multiple enterprise customers and millions of users globally. We are now expanding the boundaries of what video can be - moving from passive watching to active, interactive, multi-user journeys. If this excites you more than it scares you, you are in the right place. The Role As Legal Counsel, you will own legal matters end-to-end—moving issues from question to resolution. You will collaborate directly with product, engineering, commercial, and marketing teams to turn legal requirements into workable agreements, product decisions, and operational processes. What You Will Do Contract & IP Management: Draft, negotiate, and maintain commercial agreements, licensing, creator/performer releases, terms of service, and trademark/copyright protections. Product & Business Support: Partner with internal teams to help launch products, structure partnerships, and resolve disputes involving our platforms and technology. Compliance & Trust & Safety: Address content complaints, privacy requests, consent requirements, age assurance questions, and payment provider compliance. External Counsel Coordination: Direct specialist external lawyers by providing clear context, framing precise questions, and executing recommendations. Legal Operations & Scalability: Build standardized templates, clear escalation workflows, and a legal knowledge base to streamline recurring work. What We Are Looking For Qualifications & Background: A legal qualification with proven experience handling commercial legal matters. Core Legal Expertise: Solid working knowledge of copyright, IP, commercial contracts, technology, privacy, and platform compliance. Communication & Judgment: Strong drafting and negotiation skills in English; ability to distinguish strict legal requirements from commercial trade-offs. Working Style: A proactive, curious investigator who communicates directly, takes initiative, and thrives in a fast-paced environment with shifting priorities. Regulatory & Rights Management: Familiarity with high-compliance digital content, user consent protocols, age assurance, and copyright managements. Bonus Points Experience with digital platforms, creator businesses, AI, VR, international operations, or high-compliance streaming media would be valuable. A strong generalist mindset capable of bridging diverse operational areas and calling in specialist input when needed. Hiring Process HR Screening (30 min) COS Interview (1.5 hour) Team Interview (1 hour) CEO Interview (45 min) 💼 Explore our hiring process What we offer: Please note: fully remote contract role. B2B only - work as an independent contractor with your own legal entity. The chance to shape the legal foundation of a pioneering company Direct impact on the future of immersive media Flexible working hours and remote-first culture A team that values initiative, clarity, and collaboration Access to all tools and tech you need Unlimited DeoVR Premium A work environment where ideas matter and people are treated with respect Stay Connected Join our Facebook community and follow updates as we advance interactive VR experiences through cutting-edge technology. Join us and step into a role where legal expertise meets innovation.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the Team Our global Legal team has built a strong reputation within the company for our highly collaborative and supportive approach to counseling, always with a bias for action. We are a diverse group of lawyers and legal professionals with a shared passion for providing creative, best-in-class service to our business partners. The Competition & Litigation team advises DoorDash, Wolt, and Deliveroo on antitrust, competition, and litigation matters across every market we operate in. About the Role We are looking for a Senior Counsel, Competition & Litigation to join our growing Legal team and work globally across the DoorDash, Wolt, and Deliveroo brands. Reporting to the Director, Competition & Litigation, you’ll be a generalist antitrust attorney who can move fast: advising product and business teams in real time, supporting M&A and strategic investments alongside our Corporate Development team, and driving forward regulatory investigations and inquiries, with a particular focus on Europe. This is a hybrid role that will require you to work from our London HQ or Brussels office for a minimum of 3 days a week. You’re excited about this opportunity because you will… Serve as a trusted antitrust/competition advisor to product, business, and corporate development teams, delivering fast, practical counsel that lets the business move with velocity while properly managing risk. Advise on the competition and antitrust dimensions of M&A transactions, strategic investments, and commercial partnerships, partnering closely with Corporate Development and our sales teams. Manage antitrust and competition regulatory investigations and inquiries globally. Help build out DoorDash’s international competition compliance program, partnering with the Director, Competition & Litigation on training, policies, and processes across DoorDash, Wolt, and Deliveroo. Support competition-related litigation matters as needed, including document collection and review, witness preparation, and responses to third-party subpoenas. Partner with policy and government relations teams to track legal and regulatory developments that could affect the business. We’re excited about you because… You are a qualified solicitor in England & Wales (or bring similar qualifications in another European jurisdiction) with significant experience providing strategic legal advice to international businesses. You have 7+ years of experience at a leading law firm and/or in-house legal department, with a strong grounding in antitrust/competition law as a generalist — spanning M&A counseling, litigation, and regulatory/government investigations. You have experience advising on competition issues in mergers, acquisitions, and strategic investments, including regulatory filings and clearance strategy. You have experience handling antitrust/competition regulatory inquiries or investigations, ideally including direct engagement with regulators such as the European Commission, UK CMA, DOJ, FTC, or other competition authorities. You’re comfortable operating as a generalist across a broad portfolio — you don’t need deep pre-existing expertise in every sub-area, but you can quickly get up to speed and give practical, business-minded advice. You’re an excellent product counselor: able to translate complex antitrust concepts into clear, fast, actionable guidance for product and business teams. You’re comfortable working across multiple jurisdictions and legal systems, and can navigate the added complexity of advising across three global brands (DoorDash, Wolt, and Deliveroo). You have strong organizational skills and can juggle multiple concurrent workstreams in a fast-moving environment, both independently and as part of a team. You’re an outstanding communicator, both orally and in writing, with sound judgment on when to escalate and when to move forward independently. Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Make a visible impact every day Your work directly improves experiences for customers, partners and riders. 🌱 Learn fast in an entrepreneurial environment Partner closely with business stakeholders with autonomy, pace and real responsibility. 🧠 Learn something new everyday Stretch yourself, develop new skills and grow as the business evolves. 🌎 Deliver together in an inclusive culture Collaborative, values-driven teams that support how you work best. We aim to create a fair process that lets your skills shine. Our interview process typically includes 3-4 stages. Find more about how we hire here . Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Limassol, Cyprus Workplace: on-site Our team is developing a payment gateway for accepting funds from users on behalf of merchants, as well as sending funds from merchants to users. The system involves storing user payment data and is subject to PCI DSS compliance. It contains multiple integrations with payment systems, providers, and other gateways and processors, including 3DS. We are seeking an experienced HR Manager to join our passionate team. Job Responsibilities: Act as the main HR point of contact for employees and managers, providing hands-on support across a wide range of people-related matters. Build strong relationships across the company and maintain a good understanding of employee experience, team dynamics, and emerging people needs. Partner with managers on performance, development, employee relations, organizational changes, and complex individual cases. Own and continuously improve key HR processes across the employee lifecycle, from onboarding and probation to development, internal moves, and offboarding. Review and adapt existing HR practices to better fit the company’s evolving needs, culture, and ways of working. Identify gaps and proactively design and implement new HR practices, policies, and solutions where needed. Use employee feedback and people data to identify trends, risks, and opportunities for improvement. Help build a scalable and effective People function that evolves together with the business. Take ownership of HR processes, policies, and benefits currently provided at group level, assess their fit for company, and adapt, replace, or redesign them where needed as the company evolves. Own and evolve employee benefits and related People programs, evaluating their effectiveness, employee value, cost, and fit with the company’s needs. Balance employee needs with business priorities, applying sound judgment and ensuring People decisions are practical, consistent, and aligned with the company’s goals and culture. Ensure HR practices and policies remain compliant with applicable employment requirements, working with internal or external legal and operational partners where necessary. You’ll thrive here if you have 5+ years of broad HR experience in a People Partner, HRBP, or Senior HR Generalist role, ideally within a technology, fintech, or other fast-paced environment. Strong hands-on experience across the employee lifecycle and solid knowledge of core HR processes. Proven experience independently owning and improving HR processes, not only supporting their execution. Ability to assess existing practices, identify what needs to change, and drive improvements from idea through implementation. Strong employee relations experience and confidence handling complex or sensitive individual cases. Comfortable being a visible and approachable HR presence for employees while partnering effectively with senior managers. Strong ownership, judgment, communication, and stakeholder management skills. Comfortable working in an evolving environment where processes and ways of working are still being developed. Experience building, transforming, or localizing HR practices would be a strong advantage. Fluent English. Russian is a plus. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence. Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family. Corporate mobile plan (unlimited in Cyprus with roaming included). Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals. Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities. Benefits are provided in accordance with the company’s policies and eligibility criteria. Recruitment process HR Interview (45 minutes); Hiring Team Interview (1 hour); Final interview (1 hour); Recommendations check; Job Offer.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is an unusually demanding distributed system. Training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts, exchange data continuously, and have to keep making progress while hardware fails, load shifts, and the research changes underneath them. How well that system holds together determines how much of our compute turns into learning, and how quickly the team can try the next idea. As a Research Engineer on the Distributed Systems team within RL Engineering, you'll work on whatever part of that system is the current limit. That might be scheduling and placement, data movement between components, running large numbers of sandboxed environments, storage and checkpointing, networking, fault tolerance, autoscaling, or the observability that tells us what a run is actually doing. We're looking for generalists: engineers who can move between these layers, reason from first principles about a system they haven't seen before, and pick the problem that matters most rather than the one closest to their prior experience. Our system changes as fast as the research does, correctness under failure matters as much as throughput, and the best solutions often come from understanding the ML workload well enough to know which guarantees it actually needs. Strong candidates have built and run large distributed systems, care about getting the details right, and want to apply that experience to a workload that is very large, very heterogeneous, and changing quickly. Key responsibilities Design, build, and operate the distributed systems that run RL at scale, across training, sampling, and environment execution Find and remove whatever currently limits the system, whether it's scheduling, data movement, storage, networking, or coordination Build fault tolerance into every layer: failure detection, isolation, and recovery that keep long-running jobs making progress without human intervention Design resource management and autoscaling so that compute follows demand as a run's needs shift Build observability that makes it possible to understand what a run is doing and why it slowed down, stalled, or produced unexpected results Build automation that detects and remediates common problems, and design interfaces that let engineers and automated tools operate runs safely Work with researchers and performance engineers to make sure systems changes preserve training correctness and don't introduce subtle nondeterminism Remove classes of failure at their source through incident review, testing, and redesign, and write clear design documents for what you build Minimum qualifications Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go Experience designing, building, and operating large-scale distributed systems in production Deep understanding of distributed systems fundamentals, including consistency, coordination, consensus, failure modes, and recovery Ability to reason quantitatively about throughput, latency, and resource costs across compute, memory, storage, and network Experience debugging complex failures across many hosts and services, including failures you can't reproduce locally Strong written communication, including design documents and incident writeups Preferred qualifications Experience running ML training or inference infrastructure at scale Experience across several layers of the stack, such as scheduling, storage, networking, and orchestration Experience building schedulers, autoscalers, or resource management systems Experience with container orchestration such as Kubernetes, and with sandboxed or virtualized code execution at scale Experience with high-performance networking, RDMA, or collective communication libraries Experience building observability or automated remediation for large fleets Experience with async Python frameworks such as Trio or asyncio Familiarity with reinforcement learning or large language model training workloads Representative projects Design a scheduler that places training, sampling, and environment work across a heterogeneous cluster while respecting network topology and failure domains Build a failure detection and recovery system that lets a long-running job survive host and network failures with minimal lost work Scale environment execution substantially without increasing tail latency for the training step Design an autoscaling policy that rebalances compute across components as a run's bottleneck shifts Build a diagnostics system that explains why a run's throughput dropped and proposes a fix Trace a rare data corruption bug across many services to a race condition in a recovery path, and redesign the path so the class of bug can't recur Design the operational interface for a run so that automated tools can safely diagnose and adjust it under human oversight The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.

Требования к кандидату: — 3+ years as a Generalist Game Designer — Experience in F2P mobile games — Hands-on economy design experience — Ability to write GDDs and product specs independently — Analytics fluency with core F2P metrics — Excellent English (B2+ minimum) — Experience with EdTech or kids' products (advantage)

Location: Remote; Seattle, WA; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE Runway is looking for a Marketing Manager to help build and scale high-impact marketing programs across our creator, partner, sponsorship, and growth ecosystem. This is a generalist marketing role for someone who can move fluidly between strategy and execution. Some immediate areas of focus include influencer creator partnerships, sponsorships, and partnership marketing. The right person is commercially minded, highly organized, creative, and comfortable operating in ambiguity. We are looking for someone who can build repeatable programs, manage relationships, and execute campaigns to turn marketing ideas into measurable growth. WHAT YOU’LL DO - You will own and support marketing programs that help Runway reach priority audiences, grow demand, and deepen our presence among our target audiences. - In the near term, this will include managing creator and influencer partnerships including affiliates, evaluating sponsorship opportunities, and building co-marketing programs with customers, technology partners, model providers, vendors, and ecosystem partners. - You will work across the full program lifecycle: identifying opportunities, developing briefs, managing outreach, coordinating execution, tracking performance, and recommending what to scale, change, or stop. - You will partner closely with growth, creative, comms, events, PMM, sales, business development, legal, and finance to make sure programs are clear, on-brand, operationally sound, and connected to business outcomes. WHAT WE’RE LOOKING FOR - We’re looking for a marketing generalist with strong executional judgment and enough strategic range to work across multiple types of programs for a range of B2C and B2B audiences. - Experience managing creator partnerships with a clear view of how long-form content performs differently from short-form and other social channels. - 4+ years of experience building marketing campaigns, influencer, affiliate, or growth programs from 0 to 1. - Experience managing external relationships: creators, sponsors, agencies, freelancers or vendors. - Experience writing briefs, managing timelines, coordinating stakeholders, and translating broad goals into concrete plans. - Strong taste, communication skills, and judgment around brand, audience fit, creator quality, partner value, business impact, and operational tradeoffs. - You should be comfortable with ambiguity and able to build from scratch. This role requires someone who can create structure where it does not yet exist, but without slowing the team down with unnecessary process. - You should care about measurement and be able to connect marketing programs to outcomes such as subscriptions, ARR, and enterprise pipeline influence. NICE TO HAVE - Experience in AI, SaaS, subscription products. - Experience creating partner-facing materials such as briefs, sponsorship packages, or co-marketing materials. - Familiarity with Runway, AI video, creator communities, internet culture, and the broader creative technology ecosystem. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Tbilisi, Georgia Workplace: remote Novakid is a fast-growing online English school for children aged 4–12 and a Learning Games Company with international investors and global ambitions. Since 2017 we've grown to 4,000+ teachers working with kids in 50+ countries, delivering 4.9 million lessons every year. We're looking for an experienced Game Designer to become an ambassador of fun for kids, create educational games and systems that can compete with Roblox and Brawl Stars for kids' attention. Your job is to make kids want to come back, and to build the systems that keep them coming back. You will… Lead game design in a small cross-functional team building an educational game for kids. Design core loops and moment-to-moment gameplay that are fun first and teach along the way. Own features end to end, from concept to release and post-launch iteration, and be accountable for retention and engagement metrics. Design onboarding and first sessions that hook players and drive early retention. Design and balance the game economy: currencies, sources and sinks, reward curves and progression pacing. Plan live-ops: seasons, events, recurring loops and a sustainable content cadence. Write build-ready GDDs, product specs and flows independently, detailed enough for developers, artists and designers to execute without back-and-forth. Define success metrics before launch, predict feature impact, and read the results with the PM and analysts. Work with the Product Manager on the roadmap and propose features that target specific metrics. Make sure educational goals are met through gameplay by collaborating with academic experts. Use AI tools to move faster, including prompting, voice features (TTS / speech-to-speech) and rapid prototyping. Run and learn from playtests: propose hypotheses for UX research, deconstruct competitors, and turn insights into gameplay improvements. Must have 3+ years as a Generalist Game Designer, preferably in F2P mobile, with a strong sense of fun and a focus on retention, engagement and onboarding. Hands-on economy design experience: currency sources and sinks, reward curves and balancing. Ability to write GDDs, product specs and flows independently at build-ready detail. Analytics fluency: you know the core F2P metrics, can form hypotheses about a feature's impact, and can read the data after launch. Excellent English (B2+ minimum), as all meetings and documentation are in English. Strong advantage Live-ops experience: seasons, events, recurring loops and content cadence. Experience with EdTech or kids' products. AI fluency: strong prompting skills, experience with TTS or speech-to-speech, and using AI for rapid prototyping. Join us… High autonomy within a cross-functional team of senior specialists from mobile gaming and EdTech. The chance to create holistic game experiences and significant features from scratch. Internal playtesting and UX research support to back your decisions. A product with proven market success and a global user base. Tangible impact: games that positively influence children's lives worldwide. If you're a creative, data-driven game designer who knows how to make things fun, and you're excited about educational games, we'd love to hear from you! We offer… Competitive remuneration Remote work Unlimited holidays Bonuses and stock options

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.