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Location: Paris, France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ ALAN PRECISION: WHY THIS EXISTS Your body knows before you do. The signals are there years before symptoms. And yet, in 2026, the system around us isn't catching them. 50% of non-communicable diseases (cardiovascular disease, type 2 diabetes, many cancers) are preventable with lifestyle changes, and we're not capturing them. Western countries have seen healthspan flatline for years, meaning we live longer, but not better. 46% of Europeans report mental health issues. The kind of deep, personalised health reading that could change this has been reserved for the few who could afford a 3,000€ check-up, and built for filing reports rather than changing lives. We don't accept that. Alan Precision is our bet on advanced prevention as the new norm of care. We combine biology, wearables, medical history, and lifestyle context, read it all as a connected system with AI supervised by physicians, and turn the result into a personalised protocol the member actually executes across sleep, nutrition, movement, stress, and supplementation. Then we retest, learn, and adapt. Health is a moving target. We move with it. Our ambition: make Alan Precision the reference for advanced prevention in Europe by 2030. ⭐ THE FOUNDING GROWTH OPPORTUNITY Alan Precision is live, with fast week-over-week growth. Now we need to turn a new category into a habit: hundreds of thousands of customers in the coming years, and a measurable impact on their health. You will be the first growth and go-to-market person on the crew, accountable for two numbers: how many members subscribe to Precision, and how many stay, retest and renew. The crew was launched by the founding team of ARO, acquired by Alan in 2026, to move fast and apply their learnings from building a preventive health company. It is a unique playground. You get the means of one of France's biggest scale-ups (1M+ members reachable from day one, an ecosystem of products like Mo, Play and Clinic, and a brand carried by ambassadors like Kylian Mbappé) with the culture and pace of a fast-growing startup: small crew, short loops, everything still to invent. 🔭 SCOPE: THREE GO-TO-MARKET ENGINES 1. Direct-to-member: turn Alan's 1M+ members into Precision subscribers. Offering paid services that members subscribe to by themselves inside Alan is a pretty new go-to-market for us, and you invent it. - Build the CRM and lifecycle engine: segments, triggers, sequences, in-app moments. - Use product data to decide who to push Precision to, when and where: which actions, traits or life moments make it relevant, and which do not. - Position Precision inside the surfaces of other product crews (Mo, Play, Clinic, Shop), with their teams and push the right message at the right time. - Own recurrence: activation after the first check-up, retests, renewals, reactivation. Acquisition without retention does not count. 2. B2B: get Alan's client companies to offer Precision to their employees. Almost everything is to define: business model, offer format, pricing logic, sales motion. - Work with our B2B Marketing team to understand the constraints of our Sales and Account Management teams, give them the right pitch and materials, and set the right targets with them. - Meet HR buyers yourself to learn what makes them pay. 3. Beyond Alan: take Precision to the open market. Once the internal engine runs: - Apply the full B2C health and e-commerce playbook to acquire users that are not insured by Alan - Your levers will be numerous, across paid acquisition, influence, partnerships, brand. Across all three: - Create demand in a market that is still being created. Talk to members every week, define the value proposition and the messages that make people want advanced prevention, and push for the product changes that go with them. - Build a brand people want, and explain it simply. Make advanced prevention desirable and easy to understand, with our Brand team, without overpromising. - Say what can be said. Health communication is regulated: medical biology, health claims, influencer rules, use of health data for targeting. You work with our medical and legal teams and turn these constraints into sharper, more credible messages. - Measure and decide. Funnels, cohorts, holdouts, channel performance. Pick the next bet, cut what does not work, share what we learned. - Own it end to end. From the idea of a strategy to the campaign live in production: you design it, write it, build it, ship it and iterate on it yourself. Sharp copywriting is a core part of the job. ⭐ IS IT YOU WE'RE LOOKING FOR? - Fluent in French and English. - You have grown a B2C product from its early days. Ideally as the first growth or go-to-market person, on a subscription in health, wellbeing or e-commerce. You can tell us which channels you picked, which ones you cut, and why. - A creative Swiss army knife who prioritises. You can do a bit of everything and you find channels and angles nobody has thought of yet. You know the job is to pick the right one, execute it, measure it and move to the next. - Lifecycle and CRM at scale. Customer.io http://Customer.io, Braze or equivalent: segmentation, behavioural triggers, in-app moments. - Analytical rigour. You read a funnel, build a cohort, set up a holdout and call a result. You measure success in subscribers, retention and revenue. - Hands-on, and a great writer. You love taking an idea all the way to production yourself: the strategy, the copy, the campaign, the dashboard. You write well and fast, and you turn a complex medical topic into a clear, desirable promise. - Customer-obsessed. You talk to members every week and you are just as comfortable in front of an HR director. - Fluent with AI. You build with AI every day: assets, copy variants, segments, analyses and even building your own tools. You use it to go faster, and you keep your judgment on what ships. - Driven by health, and rigorous about it. Health matters to you, and when something blocks, you find a way. You make people want to act with messages that hold up in front of a physician. Nice to haves - Experience with regulated health communication (claims, health data, medical services). - B2B2C, employee benefits or HR tech. - Paid acquisition and influencer marketing in B2C. - Pricing and packaging of subscription offers. - You own your own health: Whoop, Oura, blood tests, supplements are no secret for you. 🌍 HOW WE WORK - Location: Paris - Remote work: We offer remote work flexibility, but we value in-person collaboration. 🎯 Important note: we hire people, not roles. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. You want to know more about Alan? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ROLE OVERVIEW You’ll be LangChain’s first Emerging Talent Recruiter, and you’ll build our intern and new grad program from scratch. Many of the best early-career engineers already build on LangChain and LangGraph. Your job is to hire them first and turn schools, student groups, and campus communities into a lasting pipeline for LangChain. WHAT YOU’LL DO - Stand up and scale intern and new grad hiring, starting with engineering. - Build partnerships with universities, career centers, student groups, and hackathons. - Own full-cycle recruiting for interns and new grads, grow into supporting full cycle recruiting for other technical teams - Work with leaders to forecast hiring needs and tie each cohort to company priorities. - Set up the processes, tools, and metrics we’ll use to track and improve the program. - Support with talent brand and marketing initiatives. WHAT YOU’LL NEED - 4+ years of recruiting experience, including 2+ in university or early-career recruiting at a high-growth company. - Experience building or scaling an intern or new grad program, with numbers to show for it. - Strong relationships with universities and outside partners. - Ability to work independently, run several hiring cycles at once, and make decisions with data. - Clear communication, including explaining LangChain’s mission to early-career engineers. NICE TO HAVE - Experience recruiting engineering, product, or data talent. - Time at an early-stage or venture-backed startup. - Experience running campus events, hackathons, or technical programs. WHAT WE OFFER - A blank page. You’re our first hire in this role. You decide how we find, hire, and grow early-career talent. - A product students already use. Many of the engineers you’ll recruit already build with LangChain and LangGraph, so you start with real credibility on campus. - Room to grow. We’re about 400 people and still growing fast. As the program grows, your scope grows with it. - A team that moves. We aim high, ship early, and say what we see. You’ll work with recruiters and hiring managers who move quickly and care about the details. Compensation - Annual salary range: $135,000- $190,000 - Competitive benefits & equity - Flexible time off - monthly stipends for technology and health COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: London Workplace: onsite THE OPPORTUNITY We are building Watcher, a coding agent security product. Watcher is deployed in production and monitors billions of agent tokens per month across engineering teams at agent-building scale-ups and multinational enterprises. We are hiring our founding Account Executive. You will own the sales cycle from qualified interest to signed contracts and build the playbook the rest of the GTM team runs on.  Our deals start with a security champion: a principal security engineer or director of product security who has seen what coding agents do inside their org and wants Watcher. Deals are won by taking that champion's interest and moving it through the rest of their organisation to a committed evaluation: the platform team that thinks it could build this itself, the CISO who has to sponsor it, the procurement and legal functions that have to let it in. That handoff, including the build-vs-buy conversation, is where deals stall today. Running it well is the core of this job. We are hiring forward-deployed engineers (FDEs) who run the technical evaluation with you. You own the commercial thread: who needs to say yes, what the evaluation has to prove, and how it converts. You'd work closely with our GTM lead and GTM associate who owns the top of the funnel. KEY RESPONSIBILITIES Convert a champion into an evaluation Find the champion in each qualified account, arm them with what they need to sell internally, and map who else has to say yes. Run the build-vs-buy conversation with platform and security engineering teams on its merits: what they would have to build, maintain and be on the hook for, against what Watcher already does. Secure an executive sponsor and convert interest into a scoped proof of value (POV) with success criteria agreed up front. Run evaluations to a decision, with FDEs Partner with FDEs on technical evaluations. They run the technical work; you keep the evaluation pointed at the decision: momentum, stakeholder coverage, and the commercial case. Build the commercial and ROI case that secures executive-level investment. Own commercial negotiation, security review, procurement and close in multi-stakeholder cycles involving security, engineering, procurement, legal and executive decision-makers. Create the way in Identify warm introductions paths via investors, advisors, clients, partners and networks. Brief connectors and draft the messaging that makes the introduction land. Capitalise on high-value engagement opportunities: speaking panels, hosted roundtables, buyer communities and embedded partners. Work with the GTM team on targeted outbound into segments where we have something specific to offer. Build the playbook and hire the team Write down what works: qualification criteria, discovery questions, the build-vs-buy argument, POV structure, pricing guidance, objection handling, security questionnaire answers. Report on pipeline health, stage conversion and what is working well enough to double down on. Product and market insights Bring honest signals back about why deals progress or stall, and what buyers compare us against when they consider building it themselves. Work with the product team on positioning, pricing, and the collateral enterprise buyers actually ask for. REPRESENTATIVE PROJECTS Turn a champion into a buyer. Take an account where a principal security engineer loves the product and nothing has moved for two months. Map who else needs to say yes, run the build-vs-buy conversation with the platform team, get an executive sponsor, and convert it into a scoped evaluation with success criteria and a date. Compress the cycle. Enterprise evaluations in this market routinely take longer than they need to. Take the process apart with the FDEs,  work out where the time actually goes, and rebuild it so an evaluation reaches a decision faster. Land a lighthouse enterprise . Take a large, slow, security-conscious organisation from first conversation through technical evaluation, security review and procurement to a production contract, and turn the process into a documented path the next one can follow. Write the playbook. By the time we add the next two people to this team, the thing that gets them productive in a month rather than six should be something you wrote. JOB REQUIREMENTS Must-haves 5+ years in GTM , with a track record of closing five- and six-figure ACV technical deals as an AE into engineering or security organisations. You have personally taken a technical champion's interest through the rest of their org to a signed contract, and you have won the build-vs-buy argument more than once. Proven success selling a technical product to technical buyers matters more to us than total AE tenure. Early-stage experience. You have sold at an early-stage company before it had a machine.You have 2+ years in a startup without mature marketing, no SDR team, no brand recognition doing the work for you. You generated your own pipeline, decided what to work on, and wrote down what worked. Technical credibility with a technical buyer . Our buyers are directors of product security, principal security engineers and engineering leaders. You can run discovery with them, understand the architecture well enough to be useful  and know when to bring in an FDE. Strong nice-to-haves You have closed into large, slow organisations. Our pipeline includes banks, quant funds and enterprise technology companies. You have run deals through security review, architecture review and procurement, and have a realistic sense of how long that takes and how to compress it. You have sold security, developer tools, or infrastructure. Non-linear background. Former founder, operator, or a hybrid role that combined selling with product or strategy. Explicitly not required Formal AI safety background. We need an excellent seller who can learn the AI safety context, and we will teach you what you need to know. Management experience. This starts as an individual contributor role. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Base Salary: £85,000 - £129,000; Variable: performance incentives against ARR targets Everyone at Apollo effectively has an unlimited token budget. If a better result costs more compute, use it. Flexible work hours and schedule Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable) LOGISTICS Time Allocation: Full-time Location: This is an in-person role working out of our London office, with regular travel to conferences and customer sites. We offer flexible working hours and some wfh arrangements. Visa sponsorship: We sponsor visas in the UK. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route. ABOUT THE TEAM You will work directly with Kyle Dai, our GTM lead and GTM associate on the pipeline, as well as the FDEs we're hiring to run the technical evaluations alongside you. Marius Hobbhahn (CEO) advises the team. You will also interact with our other SWEs and researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here. ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. HOW TO APPLY Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples, including anything you have written. About the interview process: Our multi-stage process includes a screening interview, a take-home exercise (2-3 hours), 2-3 technical interviews, and a final interview with Marius (CEO). If you want to prepare, we suggest using a coding agent heavily for a week and forming your own view on who should be buying something like Watcher, and why. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. All resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Location: Mountain View, California, USA Workplace: Hybrid About Inworld Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads. Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production. We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA. We’re looking for a Technical Account Manager to help grow and strengthen our relationships with existing customers as we scale. You’ll own a book of accounts, get to know how each customer uses us technically and commercially, and make sure they renew, expand and get real value from our products. You’ll be one of the first members of the team to help shape how we manage accounts as they grow. Candidates are ideally based in the SF Bay Area or willing to relocate (you will be working on-site at our Mountain View office a few days a week), but remote candidates will also be considered. Responsibilities - Renewals: Own renewals across your book of accounts. Start conversations early, understand what each customer needs to say yes, and close renewals on time. - Expansion: Find and pursue growth within existing customers, whether that’s new teams, new use cases or larger commitments. Build expansion plans with your customers and work with Sales to close bigger opportunities. - Technical Account Management: Learn our products in depth and understand how each customer has deployed them. Act as a trusted technical point of contact, help troubleshoot issues, and bring in Solutions or Engineering when needed. - Customer Relationships: Build relationships with multiple people at each account, from hands-on technical users to the decision-makers who sign contracts. - Account Health: Track usage, engagement and other signals to spot risk early. Act quickly when an account shows signs of trouble. - Customer Reviews: Run regular check-ins and business reviews that show customers the value they’re getting and set goals for what’s next. - AI & Tooling: Use AI tools for account research, meeting prep and follow-up, so more of your time goes to working directly with customers. Keep the CRM accurate and up to date. - Voice of the Customer: Share customer feedback, feature requests and recurring blockers with Product and Engineering, and follow up with customers on what changes. Requirements - 4+ years in technical account management, customer success or a similar customer-facing role at a software company - A track record of owning renewals and growing accounts, with experience negotiating contracts - Comfort with technical products, and the ability to have credible conversations with engineers as well as business stakeholders - Experience managing multiple accounts at once and prioritizing well across them - Familiarity with CRM and customer success tools, and interest in using AI to work more efficiently - Strong written and verbal communication, and composure when handling escalations - Self-direction and comfort in a small team where the process is still being built The United States base salary range for this full-time position is between 170,000 - 210,000 + variable + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Inworld Jobs Privacy https://inworld.ai/jobs-privacy

Location: Belgrade; Lisbon Workplace: OnSite Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.   Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.   Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success. [https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg] We’re looking for a Founding ML Engineer at Senior or Principal level to lead the transition of Newton, Aghanim’s AI product for partners, from proprietary model APIs to models we control. Newton already runs in production on frontier models. You’ll own the model layer end to end: data collection, evaluation, post-training, serving, and rollout. The goal is to preserve the quality partners rely on while reducing cost, improving speed, and keeping partner data within our infrastructure. You’ll work closely with the product to understand its behavior and partner expectations, then independently define the technical approach and priorities. Decisions about training, routing, and model replacement should be backed by production data and evaluations. KEY RESPONSIBILITIES - Build production data pipelines that capture versioned instructions, tool calls, outputs, costs, and outcomes, with anonymization, partner-level deletion, and expert corrections. - Develop benchmarks, regression tests, and code-based and LLM-judge evaluators using real Newton runs to measure factual accuracy, tool use, answer quality, cost, and latency. - Compare frontier and open-weight models, route tasks to suitable models, and identify where prompting, distillation, or post-training delivers the best results. - Train and adapt models using distillation, SFT, LoRA/QLoRA, and DPO on accepted trajectories and expert feedback; use RL where simpler approaches fall short. - Deploy models behind Newton’s existing interface, validate them through shadow runs, and manage rollout based on quality benchmarks and serving economics. Tech stack: Python, TypeScript, SQL, self-hosted Langfuse, TRL / Unsloth / Axolotl or managed training platforms, vLLM, serverless GPUs, GCP / Modal; open-weight models including Qwen, Gemma, DeepSeek, and GLM. REQUIRED QUALIFICATIONS - Hands-on experience post-training LLMs and shipping them to production using SFT, LoRA/QLoRA, DPO, and distillation. - Experience building evaluation systems from production data, including offline benchmarks, regression and behavior tests, and code-based and LLM-judge evaluators. - Understanding of agentic systems, including tool calling, multi-step trajectories, structured outputs, and the impact of changing the underlying model. - Practical experience serving models with vLLM or similar tools, quantization, and GPU deployment, including latency, cold-start, and cost tradeoffs. - Strong production Python and SQL skills, with enough TypeScript proficiency to modify product code and instrumentation independently. - Ability to understand product behavior and user expectations, translate them into measurable quality requirements, and decide when training is justified. - Experience independently owning a technical area, setting priorities, and working across an unfamiliar codebase and its design documents. - Regular use of AI coding agents, with a clear approach to verifying their output. PREFERRED QUALIFICATIONS - Experience migrating a production product from proprietary model APIs to self-hosted or open-weight models. - Experience with RL for LLMs, particularly GRPO with automatic verifiers. - Familiarity with Langfuse, Braintrust, or similar tracing and evaluation tools. - Experience with GCP, including Vertex AI, Cloud Run GPU, and BigQuery. - Interest in game monetization and analytics. WHY JOIN US - World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players - High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months - Autonomy and ownership – we trust people to make decisions, take initiative, and drive results - Modern tools and technology – use AI, automation, and modern tools as part of your everyday work - Equity – participate in the company's growth and long-term success

Location: San Mateo Workplace: Hybrid Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit. ABOUT THE COMPANY Our client is a frontier data research lab. Their thesis: models are what they eat. A large share of training compute is burned on data that's redundant, irrelevant, or harmful - so they built a platform that automatically curates petabytes of raw data into high-quality training data. It's modality-agnostic, needs no labels, and runs inside the customer's own cloud or on-prem. The results are concrete: 7-40x faster training, performance as if trained on 10x+ more raw data, and models with less than half the parameters beating larger ones. AI labs and enterprises use it to train and adapt their own models. Our client has raised ~$60M across Seed and Series A, led by Felicis and Amplify Partners, with Radical Ventures, Microsoft, and Amazon. Angels include Geoff Hinton, Yann LeCun, and Jeff Dean. The team is growing fast on the back of a strong enterprise pipeline. THE MISSION Every company should own its intelligence. Our client wants every AI team - not just the frontier labs - to have frontier-quality training data and full control over the cost and roadmap of their own models. THE OPPORTUNITY Our client is hiring an AI Developer Experience & Media Lead to build its media and developer experience function from zero. You'll be the voice of the company on X and beyond, turning real research into threads, demos, videos, and launches that technical people actually want to read and share. You'll sit on the marketing team and work directly with the co-founder on content strategy and execution, with direct access to the researchers and engineers doing the work. No legacy playbook, no layers of approval - and an AI community that's already paying attention. WHAT YOU'LL DO - Turn research and product work into technical storytelling - threads, demos, videos, and launches - Run the company's voice on X day-to-day: posting, replying, quote-posting, and joining live conversations in real time - Help founders and researchers show up in their own voices - draft for them and enable their social presence - Own research launches end to end across X, the technical blog, and video - angle, assets, sequencing, follow-through - Build real relationships with researchers, open-source developers, AI creators, and technical founders - Bring community feedback back to product and research to shape what gets built and communicated next - Experiment across formats and channels, track what earns attention and trust, and let the data steer strategy WHAT YOU BRING Must-haves - An active personal X account with 1,000+ followers and a technical audience - Experience creating social content that explains technical concepts - You build your own technical demos - code, notebooks, and video - Strong short-form technical writing - threads, posts, blogs - 2-7 years in technical content, developer marketing, or DevRel in AI/ML Nice-to-haves - CS, ML, or other technical degree (or equivalent self-taught depth) - Experience at an AI model or infrastructure company KEY SUCCESS DRIVERS - X-native: you're already in the AI conversation and know what earns respect from researchers and engineers - Technically credible: you can read a paper, build a demo, and explain it without losing the substance - Ownership: you ship without waiting for a brief and take on the unglamorous work - Experimental: you test formats, read the data, and double down on what works - Focused: you prioritize ruthlessly when everything looks important - Collaborative and candid: you work closely with founders and researchers and give honest feedback with respect - At home in a fast, flat, in-person startup WHY JOIN? - Real material: research with measurable, dramatic results - you'll never have to fake the story - Greenfield ownership of the whole function, working directly with the co-founder - Built-in credibility: backed by Felicis, Amplify, Radical, Microsoft, Amazon, Hinton, LeCun, and Dean - Early equity at an inflection point, when brand and community compound most - $160K-$230K base + significant equity - 100% covered medical, dental, and vision; 401(k) with 4% match; unlimited PTO - $2K wellness and $1K learning stipends; daily lunches; relocation assistance; open to visa transfers INTERVIEWING PROCESS 1. First chat with the Hiring Manager (30 min) 2. Head of Marketing interview (45 min) 3. Take-home content exercise (1 hr) 4. Founder conversation (30 min) 5. On-site team meet (1 hr) We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.

Основные задачи Разработка и развитие backend-инфраструктуры на Elixir/OTP. Проектирование высоконагруженных, масштабируемых и отказоустойчивых систем.

Prime Intellect is looking for a Founding Solutions Architect to lead customer workload discovery, architecture design, benchmarks, proofs of concept, and production deployment planning.

Architect and tune customer and channel-partner deployments end-to-end — API integrations, third-party data integrations, SDKs, and latency constraints. Serve as Alloy's credible technical voice with customer engineering leadership, making architectural calls in real time.

Founding Engineer IT Вакансии Ищем Founding Engineer, который будет доводить продукты студии от согласованного скоупа до продакшена примерно за две недели.

Why this role matters The team you build is the company you build. We believe this is the most important role in our company. What you bring A relentless instinct for sourcing, and the storytelling to close the best people in the market.

Responsibilities: - Build a new platform from the ground up - Make foundational architectural and technical decisions - Own significant parts of the product and infrastructure - Work closely with the founders to turn ideas into production systems - Help shape the engineering culture and team as the company grows - Grow alongside the company as it scales Requirements: - Strong experience with Solana / crypto - Professional experience with Rust - Strong experience with TypeScript - Ability to work independently and make pragmatic architectural decisions - Comfortable operating in an early-stage, highly autonomous environment Nice to have: - DeFi - Fintech - Trading - Tokenized assets - Quantitative finance Benefits: - Competitive salary + meaningful equity - Estimated compensation: $105k - $180k - Company-sponsored travel - Equipment of your choice - All the AI tools you will ever need - Significant autonomy and ownership - The opportunity to grow alongside the company from the earliest stage Applicants must be based in Europe or Asia.

Alesium is a startup lab in Limassol, since 2008. We're looking for a founding engineer to build a fintech product where a bug costs real money. Stack: • TypeScript, Node (NestJS, Fastify), React • PostgreSQL, Redis, Docker • Rust is a plus How we work: • Shape Up cycles: 1–2 weeks → working result • No daily stand-ups, no Jira • AI tools and hardware paid by us Requirements: • Daily work with AI coding agents (Claude Code, Codex, Cursor) • Shipped systems where a bug costs money • You design, ship and run what you build • English at work • Russian and Ukrainian welcome • Living in Cyprus or ready to relocate Hiring process: • 30-min call → 2-hour working session → offer • We never ask about your past salary

Location: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Paphos, Cyprus; Remote, Germany; Warsaw, Poland Founding Tech Lead (GrowthBricks) Are you a hands-on engineer who loves zero-to-one challenges? Do you want to build systems with real context and memory that do more than reason, use tools, and drive actual business outcomes? About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. GrowthBricks is a new project at JetMinds, backed by JetBrains, designed to give GTM teams and AI agents a shared business brain. Business context usually gets fragmented across CRMs, documents, dashboards, and people's heads. GrowthBricks brings that context together so agents and people can make decisions and execute effectively across the sales, marketing, and product stack. About GrowthBricks GrowthBricks is a shared business brain for GTM teams and AI agents. It brings together the context that usually lives across CRM, docs, dashboards, tools, and people’s heads: who we sell to, why customers buy, what matters now, what we tried, and what worked. Agents and people use that context to decide what to do next and execute across the GTM stack. GrowthBricks is a new project at JetMinds, backed by JetBrains. About the role We’re looking for a hands-on Founding Tech Lead to build GrowthBricks from zero. You’ll work directly with the product founder and own the technical side of the product: architecture, core systems, integrations, and the agent layer. The core challenge is turning fragmented, changing business context into reliable memory and agent actions across tools and measuring whether those actions actually drive business outcomes. You’ll write a lot of the early code yourself, make the key technical decisions, and shape the product as we learn what works. What you’ll work on Design the core architecture: business context, agents, tools, integrations, and feedback loops. Build agentic workflows that can reason over company context and act across CRM, sales, marketing, and product systems. Build context extractors from GTM team artifacts like sales calls, emails, internal documents, CRM state, marketing campaigns, etc. Work on prompting, context management, memory, tool use, and orchestration. Connect GrowthBricks to the existing GTM stack rather than rebuilding everything around it. Decide where to use MCP, APIs, frameworks, or third-party tools and where a custom solution is worth it. Prototype fast, discard weak ideas, and turn the useful ones into product primitives. We expect that you Are a strong hands-on engineer who enjoys zero-to-one work. Have built with LLMs, agents, or agentic workflows used by real people, and improved them based on failures, evaluations, and user feedback. Understand how context, prompting, tools, and agent behavior fit together. Can design backend systems, APIs, data models, and integrations. Are comfortable making decisions before all the answers are known. Prefer simple, pragmatic solutions over unnecessary complexity. We’re especially interested if you Have worked in solution engineering, sales engineering, pre-sales, or built software for GTM teams. Understand the modern GTM stack: CRM, enrichment, outbound, automation, and product signals. Have automated sales or marketing workflows, ideally with agents or LLMs. Have owned a technical product from a blank repo to something people actually used. GTM experience is not mandatory, but if you already understand how sales and marketing teams work, that is a strong advantage. What we offer A competitive salary and strong benefits package. The runway and resources of an established company, with startup-level autonomy. A founding role with direct influence over both product and architecture. Real users and real workflows from day one. Freedom to choose the stack, tools, and technical approach. A chance to help define what an agent-native GTM product should look like. #LI-IM We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Задачи: — Участие в стартапе с нуля. Требования: — Опыт работы с Go. — Опыт работы с Python.

Задачи: — участие в стартапе с нуля Требования: — опыт работы с Go — опыт работы с Python

Mozart AI, a startup developing an advanced digital music platform that functions as a virtual AI co-producer for music creation and editing, is seeking a Founding Mobile Engineer to join their team on-site in London, UK. The role involves building and enhancing the mobile application, collaborating closely with the founding team to shape the product's future. Candidates should have strong experience in mobile development, particularly with relevant technologies, and be passionate about music and AI. The position offers the opportunity to contribute significantly to a cutting-edge music platform from its early stages.

Mozart AI is seeking founding engineers for both backend and frontend roles to join their team in London, UK. The company is developing an advanced digital music platform (DAW) that functions as a comprehensive virtual AI co-producer, assisting users in music creation and editing. Candidates will be involved in building and enhancing this next-generation platform, leveraging their expertise to contribute to the core technology and user experience.