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Fastino

Technical Assistant to CEO

Posted 5 Days Ago
Be an Early Applicant
Remote or Hybrid
7 Locations
Mid level
Remote or Hybrid
7 Locations
Mid level
Support the CEO by driving engineering execution, contributing code and reviews, defining technical roadmaps, joining customer calls to translate feedback, and owning operational tasks like hiring and SOC 2/security reviews.
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Technical Assistant to CEO

Full-time | Hybrid Bay Area | Reports to CEO

Introduction:

  • Join us at Fastino as we build the next generation of LLMs. Our team, boasting alumni from Google Research, Apple, Stanford, and Cambridge is on a mission to develop specialized, efficient AI.

  • Fastino's GLiNER family of open source models has been downloaded more than 5 million times and is used by companies such as NVIDIA, Meta, and Airbnb

  • Fastino has raised $25M (as featured in TechCrunch) through our seed round and is backed by leading investors including Microsoft, Khosla Ventures, Insight Partners, Github CEO Thomas Dohmke, Docker CEO Scott Johnston, and others.

What You’ll Work On:

  • Engineering Execution: Own day-to-day delivery across Research, Product, and Infra. You’ll establish the cadences (sprints, reviews, retros) that keep us moving at startup speed.,

  • Technical Contribution: You will contribute code to critical paths and perform deep-dive code reviews to maintain our high bar for quality.,

  • Strategic Roadmapping: Partner with the CEO to translate vision into concrete technical milestones. You’ll identify risks and "see around corners" before they become blockers.,

  • Customer & Sales Engineering: Join high-stakes customer calls to translate feedback into product requirements and explain our architecture/trade-offs to enterprise buyers.,

  • Operational Excellence: Lead hiring efforts, own SOC 2 compliance/security reviews, and manage the "CEO Office" operations (communicate, tracking commitments, and priority management).

What We’re Looking For:

  • Required: 3-5 years of software engineering experience,

  • Required: Ability to go deep technically (code reviews, architecture decisions, debugging) while maintaining high-level strategic perspective,

  • Optional: MBA or graduate business,

  • Optional: Experience in technical program management, chief of staff roles, or engineering leadership,

Optional: Background in AI/ML systems or infrastructure at scale

Top Skills

Gliner
Llms
Soc 2

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  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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