--- title: 'GTM Lead, UK/EU & US at Basis Research Institute' canonical: 'https://feeny.ai/job/gtm-lead-uk-eu-us-basis-research-institute-london-b9sq0m016y20' type: 'job' last_seen: '2026-09-10' --- # GTM Lead, UK/EU & US at Basis Research Institute - **Company:** Basis Research Institute - **Location:** London, United Kingdom - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2025-11-23 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.ashbyhq.com/basis-research/f379d8de-d212-48e2-980e-270193ed2932 ## Job description ## About Basis [Basis](https://www.basis.ai) is a nonprofit applied AI research organization with two mutually reinforcing goals. The first is to understand and build intelligence. This means to establish the mathematical principles of what it means to reason, to learn, to make decisions, to understand, and to explain; and to construct software that implements these principles. The second is to advance society’s ability to solve intractable problems. This means expanding the scale, complexity, and breadth of problems that we can solve today, and even more importantly, accelerating our ability to solve problems in the future. To achieve these goals, we’re building both a new technological foundation that draws inspiration from how humans reason, and a new kind of collaborative organization that puts human values first. ## About the Role GTM Leads at Basis drive our international expansion by building and converting commercial pipelines, localizing strategic relationships, and translating research capabilities into customer value. This role focuses specifically on developing UK/EU markets while supporting US growth. We are looking for people who combine entrepreneurial vision with commercial rigor. The ideal candidate has founded or operated in early-stage ventures, understands technical innovation deeply enough to articulate its value, and thrives at the intersection of research and commercial application. You will discover new verticals, structure complex partnerships, and flag operational needs as Basis scales. Basis is a collaborative endeavor, both internally and with our external partners; we are looking for people who relish building ecosystems larger than what they can create alone. We expect you to: - Have demonstrated ability to build and convert commercial pipelines in technical domains. This could be evidenced by venture associate experience, business development roles at deep tech companies, or founder experience scaling startups internationally. - Possess sufficient technical depth to engage credibly with both AI researchers and enterprise customers. You should understand machine learning concepts, probabilistic programming, and AI capabilities well enough to translate technical features into business value propositions. - Bring international market development experience, particularly in UK/EU markets. You understand regional differences in business culture, regulatory environments (such as the EU AI Act), and partnership dynamics across multiple countries. - Excel at relationship building with diverse stakeholders including venture capitalists, cloud partners, system integrators, academic institutions, and government agencies. - Have experience with complex deal structuring, including design partnerships, research collaborations, contract negotiations, and proposal development for sophisticated technical offerings. - Progress with a high degree of autonomy and under uncertainty. You can identify opportunities, structure approaches, and execute without extensive direction in ambiguous environments. - Be excited about advancing societal capability to solve intractable problems through AI research that prioritizes rigor, safety, and human value. Responsibilities: - Discover and develop new commercial opportunities across industries and geographies, with primary focus on building UK/EU pipeline and supporting US market expansion. - Conduct customer discovery conversations to understand domain challenges, validate problem-solution fit, and translate needs into technical requirements that inform Basis research directions. - Structure and negotiate partnerships including design partnerships, cloud provider collaborations, system integrator relationships, and academic/corporate research agreements. - Develop compelling commercial materials including proposals, case studies, and pitch decks that articulate Basis capabilities and differentiation. - Convert pipeline into revenue by managing the full sales cycle from initial contact through contract closure, working closely with legal, finance, and technical teams. - Build localized presence and relationships in UK/EU markets, identifying potential needs for international entity setup and operational infrastructure. - Identify and flag operational needs that arise from commercial activities, such as compliance requirements, delivery capabilities, or resource constraints. - Collaborate with Systems Engineers to ensure commercial opportunities align with technical capabilities and research directions, preventing overpromising while maximizing impact. - Contribute to Basis culture and strategic direction, bringing market intelligence that informs product roadmap, research priorities, and organizational growth. ## Role Details Exceptional candidates who may not meet all of the following criteria are still encouraged to apply. - FT/PT: Full-time. - In-person Policy: We are in the office four days a week. Be prepared to travel regularly to UK/EU markets and attend multi-day Basis-wide in-person events. - Location: London (preferred). - Salary range: Competitive salary. Non-Discrimination Notice Basis Research Institute provides equal employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or genetics and prohibits discrimination based on all protected characteristics. Privacy Notice By submitting your application, you grant Basis permission to use your materials for both hiring evaluation and recruitment-related research and development purposes. Your information may be processed in different countries, including the US. You retain copyright while providing Basis a license to use these materials for the stated purposes. Read our full Global Data Privacy Notice [here](https://www.basis.ai/join-us/privacy-notice/). ## About Basis Research Institute ## Company Overview - **One-liner**: Basis Research Institute is a nonprofit applied research organization advancing artificial intelligence through probabilistic modeling and causal inference to solve society's most intractable problems, building open-source software that draws inspiration from human reasoning. - **Entity Type**: Private (Nonprofit 501(c)(3) Research Institute) - **Headquarters**: New York City, New York, USA (with additional office in Cambridge, Massachusetts, USA) - **Founded**: 2022 - **Founders**: Zenna Tavares, Emily Mackevicius, and Eli Bingham ## Core Business - **Primary industry**: Artificial Intelligence Research & Development - **Target customers**: Municipal governments (via consulting), academic collaborators, for-profit companies (via contract work), and the broader open-source AI community - **Mission**: Two mutually reinforcing goals: (1) advance basic scientific research in artificial intelligence to understand and build intelligence, and (2) help solve society’s intractable problems by expanding the scale, complexity, and breadth of problems that can be solved ## Products & Services - **Core Technology Development**: Advanced probabilistic modeling and causal inference frameworks implemented as open-source software, including causal probabilistic programming languages - **Applied Challenge Projects**: - **AI-Driven Robot Design**: Using AI to automate and accelerate robot design and control - **Dynamical Modeling for Biological Systems**: Modeling complex biological processes (e.g., neuroscience, cellular dynamics) - **Participatory City Modeling**: Consulting with municipal governments to model urban systems and support data-driven policy decisions - **Modeling, Abstraction, and Reasoning Agent (MARA)**: A research project focused on building AI agents capable of abstract reasoning and world modeling - **Postdoctoral Fellowship Program**: A fellowship for early-career scientists to direct their own research within Basis’s mission - **Open-Source Software Releases**: Publishing research tools and libraries for the broader AI community ## Market Standing - **Valuation/Market Cap**: Not applicable (nonprofit research organization) - **Key Metric**: Funded through a combination of research grants, private philanthropy, and contract work with partners; specific funding amounts are not publicly disclosed - **Notable Investors/Partners**: Supported by an advisory board including Armando Solar-Lezama (MIT), Joshua Tenenbaum (MIT), Kevin Ellis (Cornell), Anthony Philippakis (Broad Institute), and Rui Costa (Columbia University). Collaborates with academic institutions (MIT, Columbia, Cornell, NYU) and municipal governments - **Growth Signals**: Headcount has grown 41.7% year-over-year (LinkedIn data); active job postings increased 107.1% year-over-year; expanding into London with a GTM Lead role; 29 active job openings as of mid-2026 ## Competitive Advantages - **Nonprofit Structure**: Unlike for-profit AI labs, Basis is a 501(c)(3) nonprofit, enabling it to prioritize open-source, public-good research over commercial outcomes - **Unique Research Cycle**: A structured cycle between core technology development and applied challenge projects, where insights from real-world problems feed back into foundational research - **Interdisciplinary Approach**: Combines insights from cognitive science (human reasoning), computer science (probabilistic programming), and domain expertise (biology, urban planning, robotics) - **High-Profile Advisory Board**: Advisors from leading institutions (MIT, Cornell, Broad Institute, Columbia) provide deep academic and scientific credibility - **Open-Source Commitment**: All software is released as open-source, building community trust and enabling broad adoption ## Strategic Focus - **Core AI Foundations**: Advancing probabilistic modeling, causal inference, program synthesis, neuro-symbolic methods, reinforcement learning, and world models - **Challenge-Driven Research**: Using applied projects (robotics, biology, city modeling) to identify shared bottlenecks that guide further methodological research - **Collaborative Expansion**: Actively seeking partnerships with academia, government, social sector, and industry to tackle high-impact problems - **Geographic Growth**: Opening presence in London (UK/EU GTM) and expanding roles in Ithaca, NY, while maintaining NYC and Cambridge hubs - **Open-Source Ecosystem**: Building durable foundations that enable other researchers and practitioners to build upon Basis’s work ## Why Work Here - **Mission-Driven Culture**: Employees work on problems that matter beyond publications, with impact on AI science and real-world societal challenges - **Autonomy and Growth**: Organizational structure allows employees to see their autonomy and responsibilities grow with their projects, distinct from traditional career ladders - **Collaborative Environment**: Work alongside researchers from top institutions (MIT, Columbia, Cornell) and domain experts from academia, government, and industry - **Open-Source Impact**: Ship high-quality open-source software used by thousands, contributing to the broader AI community - **Locations**: Offices in NYC (primary) and Cambridge, MA, with remote flexibility for some roles; London expansion underway - **Notable Perks**: Postdoctoral fellowships available for early-career scientists; focus on human values and collaborative organization - **Engineering Culture**: Emphasis on building durable foundations, shipping production-quality code, and working at the intersection of research and engineering ## Sources 1. [basis.ai/about](https://www.basis.ai/about/) 2. [basis.ai](https://www.basis.ai/) 3. [jobs.ashbyhq.com/basis-research](https://jobs.ashbyhq.com/basis-research) 4. [basis.ai/join-us](https://www.basis.ai/join-us/) 5. 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