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Autoscience

Autonomous AI researchers automating ML development

Technical Program Manager

Program ManagementUpdated on Nov 10
Full-timeNo salary listed

About the Job

Requirements

  • Experience as a Project Manager, Program Manager, or Technical Program Manager at a fast-moving software or AI company.
  • Comfort reading technical specifications, architecture documents, or pull requests well enough to follow the conversation.
  • A track record of holding technical teams accountable to deadlines without being their manager.
  • Strong organizational instincts and communication skills across technical and non-technical stakeholders.
  • Ability to build trust and rapport with engineers and researchers.
  • Comfort operating in ambiguity at an early-stage startup with a small, fast-moving team.
  • Bias toward action and follow-through.

Responsibilities

  • Own program status across engineering and research workstreams, proactively identifying risks and unblocking progress before they threaten a milestone.
  • Translate customer commitments into clear internal priorities and timelines.
  • Act as a technical bridge between engineers, researchers, and customer-facing stakeholders.
  • Partner with engineering leads and researchers to turn ambiguous priorities into concrete, sequenced plans.
  • Keep leadership informed on progress, risk, and delivery timelines.
  • Instill a culture of shipping reliable, clean, tested, production-ready work on schedule.

Desired Qualifications

  • Experience supporting teams with live enterprise customers and real service-level agreements and commitments.
  • Prior experience as a software engineer or in a hands-on technical role before moving into program or project management.
  • Familiarity with AI and machine-learning product development cycles.

About the Company

Autoscience

Autonomous AI researchers automating ML development

Autoscience builds AI-driven tools to automate machine learning research and development. Its core product is a virtual AI laboratory where non-human AI scientists ideate, test, and deploy new ML models. The platform uses two main AI systems: one that generates and evaluates algorithmic hypotheses and another that optimizes and ships validated inventions into production.

Company size
11-50
Company stage
Seed
Total funding
$14M
Headquarters
San Mateo, CA
Founded
2024

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