Jobs at Adaptyv

Own the talent function for a rapidly growing biotech startup, including defining hiring needs, sourcing and closing technical candidates, managing inbound applicants, running work trials, improving Ashby and AI-enabled recruiting workflows, and building a recruiting team. Partner with founders and leaders across biology, software, automation, and commercial teams while helping establish leveling, compensation, interview, onboarding, and offer processes.

Leads and remains hands-on in building software infrastructure for an AI-powered automated biology lab. Owns the engineering roadmap, architecture, technical direction, and team development across frontend, backend, data pipelines, infrastructure, and lab-hardware integration. Ships high-impact code, hires and grows engineers, establishes AI-assisted development practices, and makes pragmatic prioritization decisions while scaling a high-output engineering organization.

Build LabOS, a full-stack platform orchestrating automated biology experiments. Develop APIs and interfaces for real-time lab visibility, AI agents for experiment decisions and troubleshooting, API integrations for laboratory hardware, and scheduling systems coordinating instruments and complex workflows. Own significant product areas, make decisions in ambiguous environments, and iterate based on user feedback while working across software and physical-world biology.

Build and lead the company’s finance function as its first finance hire. Own forecasting, gross margin analysis, pricing, financial close across Swiss and US entities, cash management, compliance, investor reporting, fundraising support, treasury, equipment financing, and asset management. Develop an AI-powered finance stack that automates reporting, reconciliation, modeling, and operational finance while connecting laboratory capacity, costs, pricing, and profitability.

Design, prototype, fabricate, test, and deploy mechanical and mechatronic components for automated laboratory systems. Develop fixtures, mounts, enclosures, and robotic interfaces; integrate sensors, motors, actuators, and scientific instruments; troubleshoot mechanical and electrical issues; improve hardware reliability; and support component sourcing and supplier coordination. The role is highly hands-on and involves collaboration with automation, software, and biology teams in an on-site laboratory environment.

Manage Adaptyv’s social presence across X and LinkedIn, operate the Proteinbase community, coordinate participant-facing competitions and hackathons, triage inbound messages, and collaborate with founders and scientists on public communications. The role requires strong writing, organizational skills, technical curiosity, comfort with ambiguity, and the ability to engage biology and AI communities.

Own UK customer operations, strategic programmes, partnerships, community events, and marketing communications for Adaptyv’s London automated biotech lab. Coordinate customers, partners, scientists, and internal teams; manage milestones and deliverables; build efficient operating processes; and represent the company across the UK life-sciences ecosystem. This on-site role requires strong organisation, communication, ownership, and comfort using AI tools in a fast-changing startup environment.

Owns the operational backbone of a fast-growing biotech company, including customer onboarding, finance and administrative operations, supplier relationships, lab expansion logistics, internal coordination, and company systems. The role requires turning manual workflows into scalable processes and automations using AI tools, Python, Notion, and no-code solutions. It is a high-ownership generalist position suited to someone entrepreneurial, organized, self-directed, and comfortable solving ambiguous problems.

Own end-to-end procurement for an automated biotech lab, including sourcing, supplier negotiations, vendor onboarding, purchase orders, inventory policy, second-source qualification, landed costs, import logistics, and COGS optimization. Plan supply for rapid lab expansion, prevent stockouts and expirations, build supplier resilience, and automate ordering, tracking, and reconciliation. Partner closely with scientists and Finance while managing reagents, consumables, biosensors, genes, and proteins.

Build and scale LabOS, a full-stack platform orchestrating automated biology experiments. Develop real-time interfaces and APIs, AI agents and tooling, hardware integrations, scheduling systems, observability, data capture, and results-processing workflows. Own significant product areas, make decisions in ambiguity, iterate based on user feedback, and help connect software systems with physical-world laboratory operations.

Build reliable backend systems that make an automated biology lab programmable. Responsibilities include architecting data pipelines for protein characterization data, designing APIs, integrating laboratory instruments and robotics, orchestrating workflows, and converting complex molecular biology processes into scalable software. The role requires strong production backend experience, systems integration skills, pragmatism, autonomy, and interest in biology. No biology background is required.

Own the launch and ongoing operation of Adaptyv’s London automated biotech lab. Responsibilities include site fit-out, permits, equipment, suppliers, budgets, UK entity administration, hiring the founding team, customer onboarding and delivery, and developing relationships across the UK life-sciences ecosystem. This hands-on general manager role requires broad operational ownership, strong execution, life-sciences familiarity, and comfort using AI tools.

Build backend systems that make automated biology labs programmable. Responsibilities include architecting data pipelines for protein characterization data, developing APIs integrating laboratory instruments and robotics, and translating molecular biology workflows into reliable, scalable software. The role involves collaborating with scientists and automation engineers, processing heterogeneous physical-instrument data, and supporting highly autonomous AI-driven experimentation infrastructure.