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Here at The Exploration Company, we are building spacecrafts for humanity. The Lead – European Institutions & French Public Affairs is responsible for designing and executing the company's public affairs strategy at EU and French levels , in close coordination with the Chief Government Officer In a fast-growing startup environment, this role combines strategic policy leadership , direct institutional engagement , and hands-on execution . The position requires strong autonomy, political judgement, and the ability to translate complex regulatory developments into clear business and strategic implications for executive leadership. Key Responsibilities Strategy & Executive Advisory Co-define EU and French public affairs strategy with the CGO, aligned with the company's growth, funding, and market-access objectives. Act as a trusted advisor to the CEO and executive team on political, regulatory, and institutional matters. Identify policy-driven risks and opportunities (regulation, funding, industrial policy, sovereignty, public procurement). Anticipate regulatory roadmaps and translate them into actionable business recommendations. European Institutions Leadership Lead engagement with EU institutions (European Commission, European Parliament, Council of the EU) and key ecosystem stakeholders. Own priority EU policy files end-to-end: monitoring, analysis, positioning, and advocacy execution. Draft and validate position papers, consultation responses, and strategic briefings for senior leadership. Represent the company in EU forums, industry coalitions, and strategic alliances. French Public Affairs Leadership Lead relationships with French ministries, Parliament, regulators, agencies, and institutional partners. Drive French public affairs actions in close alignment with EU-level strategy. Support CEO and CGO in high-level French institutional meetings, including preparation of messaging and briefings. Hands-On Execution in a Startup Context Personally execute key public affairs actions (no large team or heavy hierarchy). Build lightweight but effective public affairs processes adapted to a startup environment. Contribute to funding-related policy work (EU programs, national schemes, public support mechanisms). Internal Alignment & Communication Work closely with future projects, legal, business development, and communications teams. Ensure consistent messaging across EU and French public affairs activities. Provide concise, decision-ready updates to leadership (CEO, CGO, ExCom when relevant). Required Experience & Profile Master's degree in European Studies, Political Science, Law, Public Policy, or equivalent. 5-7+ years of experience in EU and/or French public affairs, ideally with exposure to startups, scale-ups, or fast-moving regulated sectors. Proven experience engaging directly with EU institutions and French public authorities at senior level. Track record of advising executives and operating in politically sensitive, ambiguous environments. Strong understanding of how public policy impacts business models, funding, and market access. Key Skills & Mindset Strategic thinker with a builder's mindset: comfortable creating structure from scratch. Highly autonomous, pragmatic, and execution-oriented. Excellent political judgement and stakeholder management skills. Clear, concise communicator able to brief effectively. Comfortable switching between big-picture strategy and detailed policy work. Languages French : native or fluent English : fluent Additional EU languages are a plus Why Join Us Direct impact on the company's strategic positioning and growth High visibility role with the CEO and leadership team Opportunity to shape public affairs in a fast-scaling startup environment Exposure to EU and French policymaking at the highest level Why you should join us! What makes us special here at The Exploration Company and why we think you will enjoy working here is: We're Agile - we make decisions fast whilst keeping our goals and systems in mind We're Open and Collaborative - we are transparent about risks and obstacles, so that we can cooperate to overcome them We have a lot of Fun - we refuel our energy knowing we are democratising space. It's a wonderful and rare opportunity, are YOU up for the challenge? We'd love to hear from you if you wish to be a part of our journey. Please submit your CV now for immediate consideration and we will be in touch shortly. The Exploration Company is an equal opportunity employer and values diversity. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status. Relocation assistance is provided for those willing to relocate including visa sponsorship where applicable. All offers are contingent upon the successful completion of a background check, which will be subject to the country, role, and project you applied for. By submitting your application, you acknowledge and agree that any offer of employment may be conditional upon successful condition of this check. The Exploration Company partners with Zinc Work Limited located in the UK (Zinc), a third-party provider, to ensure this process as efficient and transparent as possible. If applicable, you will receive an email from Zinc upon acceptance of your offer with a link to a secure portal where you can provide the required information to Zinc. Compensation: €83.5K – €140K • €83.5K – €140K Find Jobs in France on Arbeitnow

About Aspora People on the move deserve a bank that moves with them. Since 2022, Aspora has been building a borderless financial operating system that makes money as mobile and transparent as its users. Backed by influential venture capitalists like Sequoia Capital, Greylock Partners, Hummingbird Ventures, Y Combinator & Global Founders Capital. We're a team of 150+ across India, the UK, the UAE, EU and the US, working with extreme ownership, radical candour, and an obsession with customer impact. We celebrate builders who question assumptions, ship fast, and turn regulatory complexity into elegant solutions. If you're driven to redefine what global banking can be, we'd love to build the future with you. About the Role People build lives across borders, and Aspora moves their money with them. Aisha is our next bet: an AI finance agent for NRIs that does the work end to end. Most agent companies build the intelligence and hope the rails come later. We already have the rails. This role exists to build the intelligence NRIs will trust with real money. You will own Aisha completely: product, roadmap, team and results. You'll report directly to our CEO. You'll work closely with compliance, legal and our payments teams across the UAE, UK and India. The hard calls are yours: what to build, buy or partner on, and when the agent is ready to act. Who You Are To you, an AI agent is only worth building if it finishes the job. You've built consumer products people rely on every day, and you've shipped AI that holds up in the real world. You've built consumer before. You founded or ran a product people used daily, and you know what users forgive and what loses their trust for good. You've shipped AI that works in production. You have operated evals, orchestration, tool use and failure modes yourself, not just read about them. You bring money-grade judgement. You've worked where mistakes move other people's money, or you can show you learn regulated domains fast. You lead by doing. You stay close enough to the product and the code to make the call yourself. You've moved quickly everywhere you've been. Your track record shows people kept trusting you with more, sooner than expected. You've been tested. A failed launch, a company that died or a regulatory wall. You made sound calls under pressure and followed through to the end. Most importantly, you want to prove that AI can be trusted with people's money. What You'll Own This role comes with a founder's mandate, inside a company that already has licences, partners and customers. Own Aisha end to end. Take it from early build to a product NRIs trust with real money tasks. Shape the agent stack. Decide what to build, buy or partner on across models, orchestration, data connections and agent payment rails. Make reliability the product. Build an agent that completes long, multi-step tasks, with evals, guardrails and failure modes treated as core features. Ship consumer-grade experiences. Own onboarding, activation and retention, starting with a hundred research sessions a week that you recruit yourself. Build the founding team. Hire senior engineers first, then add design and data as the product earns them. Act safely on licensed rails. Partner with compliance and legal so the agent can move money without ever becoming the incident. What you build will decide how far Aspora goes beyond payments, and how fast we get there. Why Aspora You'll define what a trustworthy AI finance agent looks like, and own the outcome it delivers. You'll work directly with our CEO, with compliance, legal and payments as partners from day one. You'll build on licences, bank partnerships and live corridors that most agent startups spend years chasing. You'll own product, roadmap, team and results from the day you join. Competitive salary, comprehensive benefits, and ESOPs aligned with Aspora's long-term vision. Find Jobs in United Kingdom on Arbeitnow

About Ryft Ryft is a regulated payment facilitator and authorised payment institution building the infrastructure layer for modern commerce platforms. We enable marketplaces, SaaS platforms and multi-party ecosystems to embed and monetise payments natively. Our technology handles onboarding, compliance, orchestration, split payments and revenue sharing, allowing our partners to focus on growth while we manage complexity. We are now entering the next phase of scale, expanding into new verticals and building a category-defining embedded payments platform. The Role We're looking for an HR Advisor to lead day-to-day HR delivery at Ryft. As Ryft scales, you'll be the day-to-day face of HR for our managers and employees: the person people come to with questions on policy, performance or onboarding whilst also supporting senior leadership with people strategy. This is a hands-on generalist role. You'll own the operational rhythm of HR at Ryft: keeping policies current and compliant, running onboarding and offboarding smoothly, advising line managers on employee relations issues, and making sure the basics (contracts, letters, records, right-to-work checks) are handled accurately and on time. In a company our size, you'll also have real scope to shape how we do things, not just administer what already exists. What you'll do Act as the first point of contact for managers and employees on HR queries, including policy interpretation, performance management, absence, and general employee relations Advise on and support employee relations casework (disciplinary, grievance, performance improvement) in partnership with the Finance Director, ensuring fair process and accurate documentation Own end-to-end onboarding and offboarding: contracts, right-to-work checks, new starter setup, exit interviews, and leaver admin Maintain and improve HR policies and the employee handbook, keeping them current with UK employment law and FCA-appropriate conduct standards Keep HR systems and records accurate and audit-ready (HRIS, contracts, absence tracking, benefits administration) Support the annual people cycle, including probation reviews, performance reviews, and salary/benefits benchmarking cycles, with accurate data and timely admin Help managers navigate difficult conversations with practical, pragmatic advice rather than just policy citations Spot patterns across employee queries and casework and flag process or policy gaps to the Finance Director Support recruitment coordination where needed, including offer letters, referencing, and onboarding logistics for new hires What we're looking for Proven experience as an HR Advisor, HR Officer, or similar generalist role, ideally in a fast-moving or scale-up environment Solid working knowledge of UK employment law and confidence applying it practically, not just theoretically Experience handling employee relations casework independently, with good judgement on when to escalate Comfortable operating with a degree of ambiguity, since at our size not every situation has a precedent or a written process yet Strong attention to detail and a genuine dislike of dropped admin, since accuracy on contracts, records, and compliance really matters here Clear, empathetic communicator who can flex between supporting an employee through a difficult moment and giving a manager direct, practical advice CIPD Level 3 or 5 qualification Nice to have Experience in fintech, payments, or another FCA-regulated environment Exposure to scaling an HR function through headcount growth (e.g. from ~20 to 50+ employees) What you'll get Genuine ownership of HR delivery at a company where your work is visible and valued, not lost in a large HR function Direct exposure to the Finance Director and senior leadership, with real input into how our people processes evolve A seat at a fast-growing, well-funded fintech scaling in a genuinely underserved part of the payments market Find Jobs in United Kingdom on Arbeitnow

About Ryft Ryft is a regulated payment facilitator and authorised payment institution building the infrastructure layer for modern commerce platforms. We enable marketplaces, SaaS platforms and multi-party ecosystems to embed and monetise payments natively. Our technology handles onboarding, compliance, orchestration, split payments and revenue sharing, allowing our partners to focus on growth while we manage complexity. We are now entering the next phase of scale, expanding into new verticals and building a category-defining embedded payments platform. About The Role We are looking for a VP of Marketing to build and lead the marketing function at Ryft. This is a hands-on leadership role: you will set marketing strategy and budget, build and manage a team spanning multiple disciplines, and personally drive execution where it counts. You will report into the COO and work closely with the senior leadership team, translating commercial and product priorities into a marketing plan that supports B2B growth across the UK, EU and US. Key Responsibilities Strategy and Leadership Own the marketing strategy for Ryft, aligned to commercial targets, product roadmap and international expansion plans. Set clear priorities and OKRs for the marketing function, and represent marketing performance and plans to the senior leadership team and board. Build Ryft's brand and market position within the payments and fintech space, with a clear point of view on differentiation versus competitors and acquirers. Budget and Resource Management Build, own and manage the marketing budget, with clear allocation across channels, campaigns and headcount. Track spend against ROI and commercial outcomes, and make the case for investment or reallocation with senior stakeholders. Manage relationships and contracts with external agencies, freelancers and vendors. Team Leadership and Development Build out the marketing team as Ryft scales, hiring, developing and managing direct reports across relevant disciplines (e.g. content, demand generation, brand, product marketing, comms). Set individual and team objectives, run regular 1:1s and performance reviews, and create a strong, accountable team culture. Identify capability gaps and build the case for new hires or specialist support as the function grows. Cross-Functional Coordination Work closely with Sales, Commercial, Product and Compliance to ensure marketing activity is joined up with wider business priorities. Coordinate go-to-market plans for new products, partnerships and market entries (including new geographies). Act as a connector across disciplines, ensuring brand, content, demand and comms work as one coherent function rather than in silos. Hands-On Execution Stay close to the work: this is not a purely strategic role. You will be expected to get into the detail on campaigns, content and messaging where needed, particularly while the team is small. Personally lead or shape flagship activity such as major campaigns, events, PR moments and thought leadership. Stakeholder Reporting Report regularly to the COO and senior leadership team on marketing performance, pipeline contribution and budget. Present marketing strategy and results to the board as required. Build strong working relationships with senior stakeholders across the business, including Sales, Commercial and Product leadership. What we are looking for Experience: Proven experience in a senior marketing leadership role, ideally within B2B, fintech, payments or a related regulated industry. Track record of building and leading marketing teams across multiple disciplines, from strategy through to hands-on execution. Experience owning and managing a marketing budget, with strong commercial judgement on ROI and prioritisation. Strong stakeholder management skills, with experience reporting to senior leadership and/or a board. Comfortable operating at both strategic and hands-on levels, particularly in a scaling business where resources are not unlimited. Experience supporting international market expansion is a strong plus. Excellent written and verbal communication skills. What Success Looks Like A marketing function that is structured, resourced and delivering against clear commercial objectives within the first 6-12 months. A marketing budget that is well-managed, defensible and demonstrably linked to pipeline and brand outcomes. Strong, trusted working relationships with the COO, senior leadership team and board. A marketing team that is well-led, developing, and delivering consistently across disciplines. Find more English Speaking Jobs in United Kingdom on Arbeitnow

LOCATION: King's Cross, London · PATTERN: Hybrid, with regular time in the lab The opportunity We're a stealth startup in AI and bio, building infrastructure for data generation. The team is small and elite, the problems are hard, and the foundations are being laid right now. You'd help write them from the first line, with real ownership and a direct line to the founders. This role owns the analysis of our functional genomics data. You would be the main computational partner to the scientists who run our perturbation screens, from how a screen is designed to which hits we call and how we show the evidence for them. About us AI for biology has a data problem. The data that matters most doesn't exist yet, so we're building the infrastructure to produce it, with quality and traceability built in from day one. We're in stealth and heads-down on execution. We'll share more about what we're building once you've spoken with the team. The role You will join the intelligence team and own the analysis of our functional genomics data, working day to day with the scientists who design and run the screens. You will work with them from experimental design through to picking hits, and build the pipelines that let the analysis keep up as screening throughput grows. This is a hands-on role with real influence over how we generate and use our data. The data is multimodal. Single-cell and pooled CRISPR screens are read out by sequencing, by Cell Painting and other high-content imaging, and by proteomics, often on the same perturbations. Much of the job is making those readouts agree with each other, with statistics that hold up when a screen crosses several factors at once. You will work with the software team, who own how data is captured and stored. You build the analysis on top of that, and you own its quality. Your first 90 days FIRST 30 DAYS ◆ Learn how the scientists design and run the screens, and what each readout produces, from sequencing to imaging and proteomics. ◆ Review the analysis and QC that exist for CRISPR screens and Cell Painting, and set out what is missing. DAYS 30 TO 60 ◆ Own the analysis of the first single-cell and pooled CRISPR screens you work on: QC, guide assignment, differential expression and modelling of perturbation effects. ◆ Build the first image-based profiling pipeline for Cell Painting, from feature extraction and normalisation to phenotypic scoring. ◆ Advise on the design of upcoming screens, covering power, replication, library coverage, plate layout and batch effects. DAYS 60 TO 90 ◆ Integrate proteomic, transcriptomic and imaging readouts of the same perturbations, with statistics that hold up for multi-factor designs. ◆ Make the pipelines reproducible and versioned, with the software team, so they scale as throughput grows. ◆ Present results with their uncertainty and QC to the scientists and to leadership. Who you are You have a background in genomics, and you have analysed real screening or single-cell data and built things other people relied on. That might have been in a functional genomics or screening group in biotech or pharma, an academic lab, a core facility, or a computational group that worked closely with one. Nobody arrives with every part of this role. If you are strong in most of it and quick to learn the rest, we want to hear from you. You like working next to the bench. Much of the value is in the conversations with the scientists before a screen runs, and you can explain a result to someone who was not in the room. You write code other people can run, and you care how a result reads to the person receiving it. We do not hire people into boxes. This role will stretch past its description, sometimes into the lab and sometimes into conversations about how our data is used. Early hires here are expected to pick up what is in front of them. MUST HAVE ◆ A PhD, or a master's with two to three years of relevant experience, in genomics, bioinformatics, computational biology, statistics or a related field. ◆ Strong Python or R, with good engineering habits such as Git, code review and reproducible workflows, and working with coding agents. ◆ Hands-on single-cell RNA-seq analysis, for example with Scanpy or Seurat, including MEMBER OF TECHNICAL STAFF, INTELLIGENCE (FUNCTIONAL GENOMICS) CRISPR screen QC such as guide assignment and knockdown efficiency. ◆ Statistical and machine learning methods on biological data, including linear and mixed models, multiple testing, and handling batch effects and confounders. ◆ Working closely with wet-lab scientists, and explaining results clearly to people outside your field. NICE TO HAVE ◆ Perturb-seq or combinatorial-barcoding single-cell RNA-seq, such as Parse Evercode. ◆ Image-based profiling, such as CellProfiler or pycytominer, or deep-learning image analysis. ◆ Multi-omic integration methods. ◆ Workflow managers such as Nextflow or Snakemake, containers such as Docker, and cloud or HPC computing such as AWS. Why this is unusual Most screening analysis happens after the fact, on files from a lab someone else runs, with little record of how each plate was handled. Here you sit with the scientists who run the screens, you can ask how a plate was handled and get an answer, and your analysis goes out with the data. It also crosses readouts that usually live in separate teams. Sequencing, imaging and proteomics from the same perturbations come through one small team, and the analysis has to hold up across all of them. Some people find that energising; some find it outside their lane. It's worth knowing in advance which one you are. How we work The role is based in London, at our lab and office in King's Cross. Time in person with the scientists matters for this work. The wider founding team is distributed across London, New York and Europe and travels, so you will work with people who are not always in the building. We work in the open. Decisions are written down and work happens in Slack. The whole company meets once a week at the start of the week, and there is a regular offsite. Each person owns their area and makes the call inside it, and we will expect that of you early rather than late. UK benefits are 30 days of annual leave plus public holidays, a pension with a 10% employer contribution, and Bupa private health cover. More is added as the team grows. The team you will join You will report into the intelligence team. You will work most closely with the functional genomics scientists who design and run the screens, and with the software team. You will be the first person on the intelligence team whose focus is functional genomics data, joining a small team. Our process Our process has four stages. A short screening call about the role and the practicalities. A behavioural interview about how you work and what you value, run from the same template for every candidate. A technical stage built on a real analysis problem from our lab, not a puzzle. You spend a few hours writing up how you would approach it, using the tools you would use on the job, coding agents included, with a short note on the decisions you made. We care about judgement more than hours, so a focused answer beats an exhaustive one. We then go through it with you in person. Then references, aimed at whatever we still want to understand. If you are not sure whether you are a fit, apply anyway. We would rather read it and decide. We are an equal opportunity employer. We make hiring decisions on merit, scope-fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background. Find Jobs in United Kingdom on Arbeitnow

LOCATION: King's Cross, London · PATTERN: Hybrid, flexible for the right candidate The opportunity We're a stealth startup in AI and bio, building infrastructure for data generation. The team is small and elite, the problems are hard, and the foundations are being laid right now. You'd help write them from the first line, with real ownership and a direct line to the founders. This role builds our computational chemistry from the start. You would own how a set of target molecules becomes a synthesis plan that automated equipment can run, and how every compound we work with is represented and registered. About us AI for biology has a data problem. The data that matters most doesn't exist yet, so we're building the infrastructure to produce it, with quality and traceability built in from day one. We're in stealth and heads-down on execution. We'll share more about what we're building once you've spoken with the team. The role You will own computational chemistry end to end, from the molecules someone wants made to the plan the lab executes. The role sits at the interface between synthetic chemistry, cheminformatics and software, and lab automation, and you will build the computational capability alongside the physical synthesis and automation capability from an early stage. The role is embedded with the synthetic chemists and the automation scientists and engineers, and you will work with them every day. Much of the value comes from drawing out what experienced chemists know and turning their judgement into rules, models and workflows that apply the same way every time. Two parts of the role go beyond standard computational chemistry, and they are why it matters so much. Routes that automation can execute. A chemically plausible route is only the starting point. Planning has to account for what the platform can do, including the building blocks and reagents available, the reaction classes and conditions it supports, handling constraints, work-up and purification, and throughput. It also has to work across a whole target set. Given hundreds or thousands of targets, you will find the shared chemistry, common intermediates and building blocks, and reduce them to a manageable set of synthetic strategies, balancing diversity and compound value against synthetic cost. You will work with the automation team to define what planning hands to the systems downstream, and over time connect planning, synthesis and experimental results so that each round of results improves the next plan. Chemical identity from the outset. The digital representation and identity of compounds has to be right from the start, because other scientific teams will rely on compound registration for chemical identity, as well as synthesis planning. You will establish when two structures represent the same chemical entity and when they do not, and handle stereoisomers, salts, tautomers, protonation and charge states and other representation and normalisation questions consistently. You will be the first person in this seat. You will choose the methods, set the standards, write the first production code and shape how the capability grows, including who joins it. Your first 90 days FIRST 30 DAYS ◆ Learn how the synthetic chemists and the automation team work, and what the synthesis platform will and will not support. ◆ Agree the rules for chemical identity with the chemists, covering structure normalisation, validation and deduplication, and how stereochemistry, isomers, salts, tautomers and charge states are handled. ◆ Start ingesting vendor catalogues and building-block inventories through supplier APIs and external chemical data sources, capturing availability, cost and metadata so they can act as planning constraints. ◆ Agree with the automation team what a synthesis plan has to specify for the platform to execute it. DAYS 30 TO 60 ◆ Set up compound-registration workflows and identifiers that downstream systems can rely on. ◆ Run a first planning pass on a real target set, generating, evaluating and ranking routes and grouping targets by shared chemistry, intermediates and building blocks. DAYS 60 TO 90 ◆ Build the platform's capabilities and constraints into planning, so routes are scored on whether they can be executed as well as whether they are plausible. ◆ Add selection across the target set that weighs diversity and compound value against synthetic cost, step count and throughput. ◆ Connect compounds, reactions and experimental results to the wider digital chemistry stack (ELN, LIMS and compound registration), and set out how results will feed back into the route and reaction models. Who you are You work across disciplines. You might be a computational chemist or cheminformatician who has spent real time with synthetic chemists, or a synthetic chemist who moved into modelling and software and still cares whether a route works at the bench. You have built synthesis-planning or chemical-data tools that other people relied on, and you know where they break. You think in sets of molecules as well as single ones. You are comfortable making decisions on incomplete information, writing them down, and changing them when the data says so. You listen carefully to chemists, because much of what this role needs is in their judgement and has never been written down. This is a founding seat. You will lead the computational side of our chemistry, and we expect you to shape it from your first week. Nobody arrives with every part of this role. If you are strong in most of it and quick to learn the rest, we want to hear from you. We do not hire people into boxes. This role will stretch past its description, into the lab and into how other teams use chemical data, and early hires here pick up what is in front of them. MUST HAVE ◆ Enough grounding in synthetic organic chemistry to speak the language of synthetic chemists, draw out and distill their expertise, and translate practical chemical judgement into computational rules, models and workflows. ◆ Strong cheminformatics, particularly the rigorous handling of chemical structures in digital form, including molecular and reaction representations, SMILES and SMARTS, stereochemistry and isomers, salts, tautomers, protonation and charge states, substructure and similarity searching, molecular descriptors, and chemical identity and registration. ◆ Experience with retrosynthesis or computer-aided synthesis planning, developing or evaluating methods that generate, evaluate and rank synthetic routes rather than simply calling an off-the-shelf tool. ◆ Reasoning computationally about reactions and their feasibility, including transformations and templates, reagents, conditions, selectivity and supporting reaction evidence. ◆ Planning across many targets at once, finding the shared chemistry, common intermediates and building blocks across hundreds or thousands of molecules and reducing them to a manageable set of synthetic strategies. ◆ A working grasp of the trade-offs between route quality, synthetic tractability, compound diversity and value, building-block availability, cost, step count and throughput. ◆ RDKit or equivalent cheminformatics tooling, and comfort working with chemical databases, APIs and large chemical datasets. NICE TO HAVE ◆ ML or AI approaches to reaction prediction, condition recommendation or retrosynthesis. ◆ Reaction-condition prediction or optimisation, and the design of high-throughput experimentation. ◆ Using experimental reaction data to improve models or planning decisions. ◆ Optimisation methods for selecting compounds or routes across large libraries, such as diversity selection, synthetic-cost models and multi-objective optimisation. ◆ Integrating scientific software with laboratory automation, and with ELN, LIMS or compound-registration systems. ◆ Production-quality scientific software, APIs, databases and data pipelines. Why this is unusual Most computational chemistry roles plan routes for chemists to carry out by hand, or build models on reaction data someone else collected. Here, a route counts only if the platform can execute it, and the results of every run come back to you as data to learn from. The work also reaches past synthesis. The rules you set for chemical identity become the reference other teams build on, so a salt form or a tautomer handled carelessly matters well beyond a single route. Some people find that energising; some find it outside their lane. It's worth knowing in advance which one you are. How we work The role is based at our office in King's Cross, London. Our preference is a hybrid pattern with regular time in person with the chemists and the automation team, and for the right candidate we are open to a more flexible arrangement. The wider founding team is distributed across London, New York and Europe and travels, so you will work with people who are not always in the building. We work in the open. Decisions are written down and work happens in Slack. The whole company meets once a week at the start of the week, and there is a regular offsite. Each person owns their area and makes the call inside it, and we will expect that of you early. UK benefits are 30 days of annual leave plus public holidays, a pension with a 10% employer contribution, and Bupa private health cover. More is added as the team grows. The team you will join You will report to the co-founder who leads our science. You will work most closely with the synthetic chemists and with the automation scientists and engineers. You will be the first person whose focus is computational chemistry, joining a small team. Our process Our process has four stages. A short screening call about the role and the practicalities. A behavioural interview about how you work and what you value. A technical stage built on a real problem of the kind this role owns. You spend a few hours writing up how you would approach it, using the tools you would use on the job, coding agents included, with a short note on the decisions you made. We care about judgement more than hours, so a focused answer beats an exhaustive one, and we then go through it with you in person. Then references, aimed at whatever we still want to understand. If you are not sure whether you are a fit, apply anyway. We would rather read it and decide. We are an equal opportunity employer. We make hiring decisions on merit, scope-fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Refractal Refractal is an AI security company building the infrastructure organisations need to defend against autonomous AI threats. 2026 has shown that generally capable intelligence is here. The challenge now is modernising security to stop AI-enabled threats, whether they come from internal agents going rogue or from attackers using AI to become more dangerous. Refractal was founded on cybersecurity and AI expertise from MIT, Microsoft, NASA and the U.S. Navy. Our product lets organisations detect AI-enabled threats at low cost without sacrificing detection quality. We take a practical approach to AI risk, combining proven cybersecurity methods with frontier AI security research. Today, we work with governments and organisations that can't afford to get security wrong. We're backed by leading deep-tech and cybersecurity investors and are growing the team to deliver on this mission. The role You'll help prospective customers understand where Refractal fits in their security environment and show them its value. You'll lead technical discovery and evaluations, answer integration questions and hand customers over smoothly into deployment, working with our sales, security and engineering teams. What you'll do Lead technical discovery to understand customers' security priorities, existing tools, data availability and deployment constraints. Deliver product demonstrations tailored to the customer's use cases and the questions they need answered. Design and run proofs of value with agreed success criteria, realistic scope and a clear account of the results. Assess integration readiness, help troubleshoot evaluation issues and coordinate with engineers when deeper product work is needed. Support technical due diligence and handovers, documenting requirements, commitments and open questions while bringing customer feedback into product discussions. Success in your first six months You can independently lead technical discovery and demonstrate Refractal clearly to security and engineering audiences. You've helped customers complete focused evaluations that provide evidence for a buying decision. You've created reusable demonstration materials and handover guidance that improve the customer experience. About you: essential Experience explaining technical products to customers or working with external stakeholders to solve technical problems. Understanding of security operations and how tools, telemetry and workflows fit together in a customer environment. Practical ability to work with APIs, inspect data and write scripts to support demonstrations, integrations and troubleshooting. Ability to translate a broad customer problem into testable requirements and communicate the outcome clearly. Sound judgement about product capabilities, with the confidence to surface limitations, manage expectations and involve the right colleagues. Nice to have Experience in solutions engineering, technical consulting or customer-facing security delivery. Familiarity with SIEM platforms such as Splunk and enterprise security evaluations. Experience presenting AI or security technology to both technical and business audiences. Our values Radical transparency. We believe the best work happens when everyone feels able to give and receive honest, constructive feedback. Public service. We see AI security as a form of public service. Getting the AI transition right means putting the right infrastructure in place to manage the threats that come with it, and our work helps protect the institutions and services society depends on. Fail fast. We test ideas early, seek feedback and learn quickly. We experiment rapidly and change course when something isn't working, without compromising on security. Pragmatism, not dogmatism. We choose approaches based on how well they solve the problem. That means combining established cybersecurity methods with frontier AI research, questioning our assumptions, and changing our minds when the evidence changes. Compensation and benefits Salary: £65,000–£120,000 Competitive equity to share in Refractal's growth Pension contribution Private medical and dental cover Visa and relocation support Compensation: £65K – £120K • Offers Equity • £65K – £120K • Offers Equity Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Refractal Refractal is an AI security company building the infrastructure organisations need to defend against autonomous AI threats. 2026 has shown that generally capable intelligence is here. The challenge now is modernising security to stop AI-enabled threats, whether they come from internal agents going rogue or from attackers using AI to become more dangerous. Refractal was founded on cybersecurity and AI expertise from MIT, Microsoft, NASA and the U.S. Navy. Our product lets organisations detect AI-enabled threats at low cost without sacrificing detection quality. We take a practical approach to AI risk, combining proven cybersecurity methods with frontier AI security research. Today, we work with governments and organisations that can't afford to get security wrong. We're backed by leading deep-tech and cybersecurity investors and are growing the team to deliver on this mission. The role You'll work directly with Refractal's founders to turn company priorities into well-run projects, bringing analysis, structure and follow-through to commercial, recruiting and operational work. It's a hands-on role for someone who likes moving between research, decisions and execution. What you'll do Scope projects with the founders, define the decision or outcome needed, and establish a practical plan with clear owners, milestones and dependencies. Research markets, customers and competitors, combining evidence into concise recommendations that help the team decide where to focus its time and resources. Support commercial execution through account research, opportunity analysis and preparation for important conversations, working closely with the people responsible for those relationships. Support agreed recruiting priorities through candidate research, hiring materials and process improvements that help colleagues make timely, well-informed hiring decisions. Improve operational workflows where there is a clear business need, then document the approach and establish ownership so improvements last beyond the project. Success in your first six months You've delivered a set of agreed priority projects, with clear evidence of the decisions enabled, work completed or time saved. You've built trust with the founders and colleagues through sound judgement, useful analysis, reliable follow-through and early communication when priorities or assumptions change. You've left behind practical processes and documentation that colleagues can use independently, with clear handovers and no unnecessary administrative burden. About you: essential Strong analytical judgement: you can frame an ambiguous question, find relevant evidence and explain a practical recommendation. Evidence of taking a project from an unclear starting point through to a useful, completed outcome. Clear, concise writing and confident communication with people across different functions. Strong organisation, attention to detail and discretion when handling sensitive commercial or people information. Comfort changing direction while keeping scope, priorities and commitments explicit. Nice to have Experience working in an early-stage company, consulting, investing or another varied, execution-focused environment. Familiarity with commercial research, recruiting projects or operational process improvement. An interest in cybersecurity, AI and the organisations that depend on secure technology. Our values Radical transparency. We believe the best work happens when everyone feels able to give and receive honest, constructive feedback. Public service. We see AI security as a form of public service. Getting the AI transition right means putting the right infrastructure in place to manage the threats that come with it, and our work helps protect the institutions and services society depends on. Fail fast. We test ideas early, seek feedback and learn quickly. We experiment rapidly and change course when something isn't working, without compromising on security. Pragmatism, not dogmatism. We choose approaches based on how well they solve the problem. That means combining established cybersecurity methods with frontier AI research, questioning our assumptions, and changing our minds when the evidence changes. Compensation and benefits Salary: £45,000–£80,000 Competitive equity to share in Refractal's growth Pension contribution Private medical and dental cover Visa and relocation support Compensation: £45K – £80K • Offers Equity • £45K – £80K • Offers Equity Find Jobs in United Kingdom on Arbeitnow

Die Chance Wer Beratungsunternehmen erwirbt, erwirbt Konsolidierungskreise. In den meisten mittelständischen Strukturen ist das Rechnungswesen dafür nie gebaut worden, sondern über Jahre gewachsen. Vogel erwirbt eigenständige Beratungsunternehmen und baut sie zur stärksten Adresse ihrer Region aus. Mehrere Tausend mittelständische Unternehmen vertrauen uns ihre steuerlichen, kaufmännischen und strategischen Themen an. Jede Übernahme bringt eine neue Gesellschaft mit, eine Eröffnungsbilanz, eine Kaufpreisallokation und einen erweiterten Konsolidierungskreis. Damit das trägt, braucht es jemanden, bei dem niemand mehr nachrechnet, ob der Konzernabschluss steht. Du verantwortest das Rechnungswesen von Vogel: Konsolidierung und Konzernabschluss, das laufende Rechnungswesen über alle Gesellschaften, dessen Automatisierung und das Reporting an Banken und Stakeholder. Du berichtest an Joachim und Moritz Vogel. Was du verantwortest Konsolidierung und Konzernabschluss Verantworte den Konzernabschluss nach HGB über alle Gesellschaften: Kapital- und Schuldenkonsolidierung, Zwischenergebniseliminierung, Aufwands- und Ertragskonsolidierung. Führ jede Übernahme in den Konsolidierungskreis, von der Eröffnungsbilanz über die Kaufpreisallokation bis zur laufenden Einbindung. Dein Maßstab: Der Prozess trägt die nächste Übernahme, ohne dass jemand einen Sonderlauf aufsetzt. Dokumentiere die Konsolidierungslogik transparent und nachvollziehbar, statt sie im Kopf zu tragen. Laufendes Rechnungswesen und Automatisierung Steuere das laufende Rechnungswesen über alle Gesellschaften und verantworte Monats-, Quartals- und Jahresabschlüsse. Behandle jede wiederkehrende Handarbeit als Automatisierungs-Kandidaten, von der Verbuchung über die Abstimmung bis zur Abschlussvorbereitung, und bau die Lösungen mit unserem Automatisierungs-Team. Führ die Schnittstellen zu DATEV, Abschlussprüfung und externen Beratern so, dass Rückfragen selten und Antworten schnell sind. Reporting nach außen Verantworte das Reporting an unsere Finanzierungspartner, von den Covenants über die Kennzahlen bis zu den Berichtspflichten, und liefere so, dass keine Nachfrage kommt. Bereite Zahlen für Adressaten auf, die eigene Interessen haben, und wisse, welche Aussage eine Zahl trägt und welche nicht. Sei die Adresse im Haus für Bilanzierungsfragen, bis sie nicht mehr bei der externen Beratung enden. Fragen, auf die du die Antwort findest Ein übernommenes Haus hat seine Zahlen jahrelang anders aufgebaut als wir. Was vereinheitlichst du sofort, und was lässt du ein Jahr laufen? Welche wiederkehrende Arbeit lohnt die Automatisierung, und wo ist der Aufwand höher als der Nutzen? Bilanzierungsfrage mit unsauberer Datenlage und Termindruck: Wie triffst du die Entscheidung, und wie dokumentierst du sie? Woran wir Erfolg messen Nach 6 Monaten: Konzernabschluss und Konsolidierungskreis sind vollständig übernommen und die Logik ist dokumentiert. Die ersten Monats- und Quartalsabschlüsse liegen eigenverantwortlich vor, termingerecht und prüfungsfest. Das Reporting an die Finanzierungspartner läuft ohne Rückfrage durch. Nach 12 Monaten: Mindestens drei Übernahmen sind vollständig in den Konsolidierungskreis überführt. Die manuellen Vorgänge in Verbuchung, Abstimmung und Abschlussvorbereitung sind messbar zurückgegangen. Nach 24 Monaten: Mehrere Häuser laufen im Regelbetrieb im Konsolidierungskreis, und der Prozess trägt die nächste Übernahme. Bilanzierungsfragen enden bei dir. Wohin es führt: in die Senior-Stufe der fachlichen Expertenlaufbahn, mehr Tiefe und mehr methodische Autorität, ohne dass du dafür ein Team brauchst. Willst du eines aufbauen, steht dir die Führungslaufbahn ebenso offen. Entschieden am Beitrag und nicht am Berufsjahr. Was du mitbringst Du bist Steuerberater oder Wirtschaftsprüfer und hast bereits erste Erfahrungen als Team Lead gesammelt. Du hast vier oder mehr Jahre in Abschlussprüfung oder Abschlussberatung gearbeitet, bei KPMG, EY, Deloitte, PwC, Rödl oder Ebner Stolz, und dabei Konzernmandate mit echter Konsolidierungstiefe verantwortet. Du beherrschst die HGB-Konsolidierung praktisch, nicht nur als Prüfungsstoff: Kapitalkonsolidierung, Eliminierungen, Kaufpreisallokation nach einem Erwerb. Du arbeitest sauber und nachvollziehbar. Wer nach dir in eine Datei schaut, versteht sie ohne Rückfrage. Excel beherrschst du über Pivot-Tabellen hinaus. Du arbeitest mit KI als selbstverständlichem Werkzeug für Abstimmung, Recherche, Dokumentation und die Multiplikation deiner eigenen Ausbringung. Du willst die Verantwortung für die Zahlen und nicht die Distanz des Testats, und du setzt in allem den höchsten Standard, weil Mittelmaß für dich keine Option ist. Ein Plus, keine Bedingung SQL oder Python, oder eine andere Spur, die zeigt, dass du Auswertungen nicht zweimal von Hand baust. Erfahrung mit Bankenreporting oder Covenant-Berichterstattung. Kein kanonischer Lebenslauf nötig: Konzernbuchhalter mit starker Automatisierungsspur, Prüfungsleiter aus einer mittelgroßen Gesellschaft, der die Mandanten-Rotation satthat. Wir bewerten am Beitrag, nicht am Etikett. Die ausgewiesene Spanne ist kein Verhandlungsspielraum, sondern eine Profil-Skala: Das untere Ende steht für den Berufsträger frisch nach dem Examen, das obere für den, der Konzernabschlüsse bereits eigenständig verantwortet und die Methodik geprägt hat. Ein anderer Hintergrund startet zu einem anderen Marktpreis und konvergiert nach zwölf Monaten bewährter Leistung auf das Rollen-Niveau. Was diese Rolle ist, und was nicht Das eigene Rechnungswesen, kein Mandantengeschäft. Du betreust keine Mandate und baust keinen Mandantenstamm auf. Wer Mandantenarbeit sucht, findet sie bei uns in anderen Rollen. Fachliche Führung, keine disziplinarische. Du wächst über Substanz und Methodik, nicht über Personalspanne. Verantworten, nicht testieren. Du wechselst nicht mehr jährlich den Mandanten, sondern lebst mit den Konsequenzen deiner eigenen Entscheidungen. Warum Vogel Der Konsolidierungskreis wächst mit jedem Jahr. Was du einmal sauber aufsetzt, trägt jede weitere Übernahme. Das ist selten in einem Haus dieser Größe. Du bist der Kopf für Bilanzierung. Sparring bekommst du von der Geschäftsführung und aus dem Prüfer-Netzwerk, aber niemand rechnet dir nach. Was du lieferst, geht in Bankengespräche und Kaufentscheidungen. Vogel ist hierarchisch in der Entscheidung, flach in der Kommunikation, autonom in der Ausführung. Leistung wird gefeiert, nicht versteckt. Substanz im Rücken. Ein profitables, wachsendes Unternehmen mit etablierten Mandanten und einer starken Basis. FAQ 1. Was ist Vogel – und wo arbeitet ihr? Vogel ist eine der führenden Mittelstandsberatungen Deutschlands – seit 1959, inhabergeführt in zweiter Generation, mit eigenem Kapital – und baut daraus die führende Beratungsplattform für den Mittelstand. Wir arbeiten an drei Standorten: Aalen als gewachsenem Stammsitz, Bopfingen im Kerngeschäft und München als neuem Hub. An allen dreien suchen wir quer durch die Funktionen – von Steuerberatung über Beratung bis zu den Teams, die das Fundament darunter bauen. 2. Wie sind die Gehaltsbänder zu verstehen? Bewusst breit – und an jeder Stelle ausgewiesen, bevor du dich bewirbst. Wir differenzieren nach Track Record und Marktwert, nicht nach Abschluss: knappe, stark gefragte Profile am oberen Ende, weniger knappe am unteren. Die ausgewiesene Spanne ist kein Verhandlungsspielraum, sondern eine Profil-Skala – zwei Menschen mit ähnlicher Erfahrung können bei uns unterschiedlich verdienen. Was das obere Ende bestimmt, ist der Reifegrad, nicht die Zahl der Berufsjahre und nicht das Verhandlungsgeschick. 3. Wie viel – und wie – wird bei Vogel gearbeitet? Gemessen wird an dem, was du bewegst, nicht an Stunden. Ehrlich ist aber auch: Wer 9-to-5 sucht, ist bei uns nicht die erste Adresse. Wir suchen Menschen, die aus eigenem Antrieb intensiv arbeiten, weil die Aufgaben es wert sind. Wie du deine Zeit verteilst, ist weitgehend deine Sache. Was wir teilen: Wir arbeiten präsent zusammen und sehen uns im Normalfall täglich im Büro – Kultur, Sparring und die besten Ideen entstehen in der täglichen Nähe. Wir sind keine Remote-Company und haben keine großen Home-Office-Policies; einzelne Remote-Tage sind kein Problem. 4. Wie läuft die Bewerbung? Schlank, schnell, transparent – und nach Profil gestaffelt. In der Regel sind es vier Schritte: eine schriftliche Aufgabe, in der du zu acht Fragen Position beziehst – KI ist ausdrücklich erlaubt, wir bitten nur um eine kurze Selbstauskunft dazu; ein Gespräch von einer halben Stunde; eine gemeinsame Arbeitssitzung an einem echten Problem aus unserem Alltag; und ein Termin vor Ort mit dem Team und gemeinsamem Essen. Wie viele Schritte es tatsächlich werden, hängt von der Rolle ab: Bei Praktikum und Werkstudium fällt der Vor-Ort-Termin weg, für Schülerjobs genügt ein Gespräch, bei Senior-Rollen kommt ein gemeinsamer Arbeitsnachmittag dazu. Vorab kannst du einen Zehn-Minuten-Call buchen, in dem nur du fragst. In der Regel hörst du nach jedem Schritt innerhalb von 48 Stunden von uns. 5. Wie funktioniert die variable Vergütung? Quartalsweise an Leistung gekoppelt, qualitativ bewertet. Die Skala steigt mit dem Level: bis 20 % Associate, 27,5 % Manager, 35 % Senior Manager, 42,5 % Director, 50 % VP. Erwartungswert bei guter Leistung – du erfüllst die Anforderungen, setzt eigene Akzente, bestehst den Keeper Test – liegt bei rund 50 % des Maximums; der Maximalbonus ist nicht der Normalfall. Im Fokus steht eine ganzheitliche Beurteilung durch deine Führungskraft anhand von sechs Kriterien: Impact, Judgement, Communication, Execution, Growth und Values. 6. Wie entwickle ich mich – welche Karrierewege gibt es? Zwei aktive Wege: die IC-Karriere (fachliche Tiefe, Expertenlaufbahn) über die Stufen Expert, Senior, Lead und Principal – und die Management-Karriere (Führung, Personalverantwortung) über Manager, Senior Manager, Director und VP. Beide werden gleich vergütet, und beide müssen nicht nach oben führen: Wer auf einer Stufe bleibt und dort weiter in die Tiefe geht, ist bei uns genauso richtig. Die Richtung wählst du nach dem Onboarding, meist in Jahr 1–3. Berufseinstieg ist kein Sonderweg, sondern der frühe Teil derselben Strecke – vom Werkstudenten oder Praktikanten zum Associate, für die Besten ohne erneutes Bewerbungsverfahren. 7. Team, Kultur, Urlaub? Das gemeinsame Mittagessen ist der tägliche Ankerpunkt – wer im Büro ist, isst mit; erwartet, nicht kontrolliert. Das Abendessen ist dasselbe Angebot ohne jede Erwartung. Beides ohne Eigenanteil. Dazu Social Events und Offsites in regelmäßigem Rhythmus – nicht als Pflichtprogramm, sondern weil ein gutes Team auch abseits der Arbeit Zeit teilt. Benefits sind bei uns nicht das Sahnehäubchen, sondern das, was Intensität über Jahre tragbar macht: Examensförderung mit 25.000 EUR Qualifizierungsbudget und drei Monaten Freistellung, 100-prozentige Übernahme der Kinderbetreuung, EGYM Wellpass, betriebliche Altersvorsorge, Job-Ticket mit 90 % Zuschuss, Homeoffice-Ausstattung und ein Gerät deiner Wahl aus unserem Katalog, ein Buch im Monat aus dem Vogel-Kanon – und KI-Tools ohne Token-Limit und ohne Budgetdeckel. Urlaub: 28 Tage. Compensation: €120,000 – €150,000 • Offers Commission • €33,000 – €41,250 Bonus • Fixgehalt €120,000 – €150,000 • Offers Commission • €33,000 – €41,250 Bonus Find more English Speaking Jobs in Germany on Arbeitnow

About us AIM Solutions is an early-stage deep-tech startup in Eindhoven building inspection and metrology equipment for the semiconductor industry. We are in active build phase, small, and growing. The role You will own the algorithms at the core of our instrument: the GPU-accelerated engine for phase retrieval and wafer metrology. This is the deep end of computational imaging, where progress comes from understanding both the optimization and the physics. Concretely, you will: Develop and maintain our GPU-accelerated computational imaging engine for phase retrieval Improve reconstruction quality, convergence, and robustness across varied and imperfect datasets Design and implement new reconstruction methods: physics-based differentiable forward models, regularization and constraint schemes for ill-posed problems, and support for new acquisition modes Translate methods from the literature and from our own ideas into tested, performant code Use physical insight into the optical system to decide how to change the algorithm so that results improve Profile and optimize the engine for GPU performance on large datasets Your profile A PhD, or equivalent research depth from industry, in a physics-heavy or numerically heavy field Several years developing numerical or scientific algorithms, ideally in imaging, inverse problems, or a comparable domain Strong numerical optimization, both gradient-based and iterative methods Working knowledge of Fourier optics and wave-propagation physics Strong Python and array programming, with experience in GPU frameworks such as JAX, PyTorch, TensorFlow, or CUDA You write tested, maintainable code that others can build on You can reason from physics to algorithm and back, and judge what will improve a reconstruction Technical curiosity; we will teach you the specifics of our computational imaging approach Full professional proficiency in English Bonus experience in any of these: Phase retrieval, coherent diffractive imaging, holography, or tomography Physics-informed machine learning, differentiable forward models, automatic differentiation Regularization and constrained optimization for ill-posed inverse problems High-performance and GPU computing with performance profiling Linux development environments This is a senior, research-to-production role. We expect a track record of taking new methods from concept to working, maintained code that runs in a real instrument. What we offer Ownership of the reconstruction algorithms at the heart of a tool that does not exist anywhere else yet Small team, short feedback loops, an open environment to have real impact Competitive salary for the Dutch market Find more English Speaking Jobs in Netherlands on Arbeitnow

About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential. H is hiring the world's best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute. About the role: We're looking for an Executive Business Partner to work alongside our CEO as a strategic partner. You'll decide where his time goes, prepare him for every important conversation and keep the company aligned with his priorities. You'll be a senior member of the CEO Office, with the authority to decide which meetings, events and requests make it onto his agenda. Key Responsibilities: Own the CEO's agenda and priorities. You'll decide which meetings, events and requests he takes on based on company priorities, and escalate only the hardest calls. Triage inbound requests such as speaking invitations, events, and approaches from partners and investors, and put forward clear recommendations. Brief the CEO before key meetings with the context, the objectives and the points he needs to land. Act as the CEO's point of contact for investors, partners and the leadership team, representing him with judgement and discretion. Manage the CEO's inbox and complex international travel so he can stay focused on what matters most. Requirements: 6+ years supporting C-level executives, ideally a founder or CEO in a fast-growing tech company or startup. A strong sense of business priorities: you can judge whether an activity matters and defend that call to senior stakeholders. Excellent written and verbal communication, including concise executive briefs. Complete discretion with confidential information, including fundraising and investor matters. High autonomy and ownership: you anticipate needs before they're raised. Fluent in English and French (spoken & written). An entrepreneurial mindset and comfort with ambiguity and changing priorities. Available within 4 weeks. Location: Paris This role is hybrid, and you are expected to be in the office 3 days a week on average. What We Offer: Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups. Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment. Enjoy a competitive salary. Unlock opportunities for professional growth, continuous learning, and career development. If you want to change the status quo in AI, join us. Find Jobs in France on Arbeitnow

About Orakl Oncology At Orakl Oncology, we are accelerating the development of oncology treatments. Today, fewer than 5% of new cancer drugs succeed in clinical trials. Clearly, new methods are needed. We combine cutting-edge biology and AI to build the next generation of insight platforms with the world's largest cohort of patient tumor avatars. These avatars fuel our AI-powered predictive engine, helping to anticipate clinical trial outcomes, validate therapies, and uncover new drug candidates. By generating multimodal, real-world data, we deliver insights that consistently outperform existing solutions. Our mission is simple yet ambitious: to bring more effective treatments to patients who need them - and to make drug development smarter, faster, and more personalized. We collaborate with top hospitals, research institutes, and pharmaceutical companies worldwide. Backed by leading investors, we are a fast-growing, mission-driven startup at the intersection of science and technology. The role Our clinical-prediction offer gives pharma partners the evidence to guide decisions before and during clinical development. We are looking for a Scientific Product Director to turn this science into sellable products: decide what gets developed and when, define what each capability can claim and output, and shape how results are delivered to partners. You will report to Gustave Ronteix, CTO and co-founder, and work daily with a tight-knit interdisciplinary team composed of Computational Biology, Data Science, R&D, Platform Strategy & Operations, BD and Pharma Partnerships. What you'll do 1. Own the product roadmap Design and build a scalable product capable of derisking and accelerating clinical development of drug candidates based on Orakl's scientific capabilities Turn signals from BD, Pharma Partnerships and R&D into capability definitions: specs, target metrics, validation plan, in- vs out-of-scope definition, cost to deliver Set priorities and dates with Engineering and Data Science; flag slippage early and make the trade-offs Identify productization-gaps from delivery audits and analysis, and feed recurring ones back into the roadmap 2. Oversee product maturity and decide what we sell Maintain the capability catalog: what is available now, in beta or on the roadmap, and what each can and cannot claim Contribute to the final decision of when a capability is ready to sell (based on Data Science's validation evidence) versus what is not-yet sellable in the pipeline, and communicate it internally Oversee the scientific case for each capability: white papers, application notes, posters 3. Design how results reach partners Design the reports, data packages and dashboards partners receive, and direct the engineers who build them Own the deliverable contents: figures, statistical summaries, methods, limitations Embed the approved claims and the QC checklist in every template, so Pharma Partnerships can produce a correct deliverable at scale Keep templates current as the validated envelope changes, and pull or revise one when it no longer applies What we're looking for Must have PhD or equivalent in cancer biology, pharmacology, biostatistics or computational biology 8+ years in translational oncology, biomarker or diagnostics development, computational-biology platforms or preclinical CRO services, including 2+ owning a product roadmap Technical depth: you read and understand production code, and can brief and review the work of engineers who build our reports and dashboards You judge evidence: from a validation pack - back-tests, calibration, biomarker cutoffs -, you can state a claim the data supports and refuse the one it doesn't You have experience working at the intersection of scientific and business departments within fast-growing companies You know how pharma decides: you have seen proposals, SOWs and due-diligence questions, and know what a go/no-go decision needs from a prediction Fluent in English Nice to have You have seen bespoke research work turned into something repeatable and sellable Scientific authorship : Posters, talks, papers or white papers; a presence at AACR, ASCO, ESMO or SITC Regulatory: exposure to regulated or quality-managed environments Therapeutic or preclinical knowledge : ADC, immuno-oncology or targeted therapy; organoid or in-vitro pharmacology Clinical-trial design or Trial statistics: adaptive designs, sample size, endpoints Templated reporting : report-generation frameworks or web front-end What we offer Mission: work on the forefront of cancer research. Ownership: a product function to build from the ground up. Impact: pharma teams make real portfolio decisions with what you define. Team: an exceptional crew of clinicians, biologists, engineers and data scientists, most with a PhD. 👉 More about Orakl here and here Interview process Intro call (30 min) with Gustave Ronteix, CTO Case interview (1h) Case study (take-home) Conversations with BD, Pharma Partnerships, the Engineering / Data Science leads and Platform Strategy & Operations. References: 2-3, including a direct manager Find Jobs in France on Arbeitnow