Founding Technical Lead

BioTalent

San Francisco (CA)

Hybrid

USD 180,000 - 320,000

Full time

9 days ago

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Benefits offered by this job

Meaningful equity
Medical, dental, and vision coverage
Paid time off
Flexible work arrangements
Opportunity to influence strategy

Job summary

BioTalent is seeking a senior technology leader to become the first technical hire and a key partner to the founder. You will own the AI-driven platform, including experiment generation, lab automation integration, computer vision capabilities, and ML model deployment.

This role blends technical leadership with hands-on delivery, defining architecture and guiding build-vs-buy decisions. A clear path to CTO exists as the company grows.

Qualifications

  • Experienced founding engineer or senior technology leader in early-stage startups.
  • Hands-on leader who can execute and scale teams.
  • Experience building technology organizations and making strategic decisions.

Responsibilities

  • Own the core AI platform from prototype to production.
  • Lead model development, fine-tuning, evaluation, and deployment of ML models.
  • Enable lab automation and remotely configure equipment across sites.
  • Deploy computer vision solutions and manage data pipelines.
  • Define architecture, cloud vs edge deployment, and cost optimization.
  • Build and lead the engineering team across AI, ML, data, and platform.
  • Represent the technology externally to investors, partners, and customers.

Skills

Technical leadership
Startup experience
AI/ML systems
Edge vs cloud
Team building
Communication

Job description

Location: US-based | Onsite in Boston or San Francisco, hybrid, or flexible working arrangements available


Founding team opportunity | Potential CTO progression


The Role

You will be the first senior technical hire and a key technical partner to the founder. You'll own how the company's AI-driven platform is built and delivered, including experiment generation systems, lab automation integration, computer vision capabilities, and the selection, fine-tuning, and deployment of machine learning models.


This role combines technical leadership with hands-on execution. You'll define architecture, make build-versus-buy decisions, and lead the development of the first production-ready platform. As the company scales and delivers results, there is a clear pathway to evolve into a Chief Technology Officer position.


What You'll Accomplish


  • Own the core AI platform: Develop experiment generation capabilities from prototype through to production, transforming user intent into optimized, executable workflows.

  • Lead model development: Drive fine-tuning, evaluation, and deployment of LLMs, multimodal models, and AI systems.

  • Enable lab automation: Build systems that remotely configure and manage laboratory automation equipment across customer sites.

  • Deploy computer vision solutions: Integrate imaging devices, manage data capture pipelines, and oversee video ingestion and storage infrastructure.

  • Manage platform infrastructure: Define what runs on edge devices versus cloud infrastructure, while overseeing telemetry, configuration, scalability, and cost optimization.

  • Build and lead the engineering team: Establish technical direction and recruit engineers across AI, machine learning, data, and platform disciplines.

  • Represent the technology externally: Engage with investors, partners, customers, and industry audiences as a technical spokesperson.


Who You Are


  • Experienced founding engineer, technical lead, engineering manager, or senior technology leader within an early-stage environment.

  • Hands-on technical leader who can both execute and scale teams effectively.

  • Experienced in building and growing technology organizations, ideally within startup environments.

  • Strong product thinker capable of contributing to strategic product decisions.

  • Proven ability to attract, assess, and hire high-performing technical talent.

  • Excellent communicator comfortable engaging with both technical and non-technical stakeholders.

  • AI-native mindset with experience leveraging modern AI tooling and agentic systems.

  • Highly motivated, entrepreneurial, and excited by technology-driven innovation.


Technical Experience


  • Successfully delivered AI/ML products from concept through production.

  • Experience with fine-tuning, evaluation frameworks, Retrieval Augmented Generation (RAG), structured outputs, and modern LLM workflows.

  • Background in optimization, planning, recommendation, search, or workflow automation systems.

  • Experience integrating software with hardware, edge devices, cameras, tablets, IoT devices, or similar technologies.

  • Familiarity with device deployment, monitoring, and fleet management.

  • Understanding of regulated environments and compliance frameworks such as FDA, 21 CFR Part 11, ISO standards, SOC 2, or similar.

  • Exposure to computer vision, multimodal AI, robotics, or adjacent technologies is highly desirable.

  • Experience within biotech, life sciences, scientific software, laboratory technology, or highly regulated industries is beneficial.

  • Previous experience working in high-growth startups or small-company environments preferred.

  • Meaningful equity package aligned to the seniority and impact of the role.

  • Medical, dental, and vision coverage.

  • Paid time off and company holidays.

  • Significant opportunity to influence company strategy, technology, and long-term growth trajectory.

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