VP of Engineering

Reposted Yesterday
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San Francisco, CA, USA
In-Office
500K-600K Annually
Expert/Leader
Artificial Intelligence • Software
The Role
The VP of Engineering will build the engineering function for growth, ensuring technical excellence, managing teams, and aligning goals across the organization.
Summary Generated by Built In
Salary range: $500,000 - $600,000/year + benefits

Description: Transluce is a non-profit research lab building the world's infrastructure for understanding AI. We do this through foundational research to discover and measure emerging high-stakes behaviors of AI systems, delivered through scalable products and influential public evaluations. Our work already shapes how AI is built and how it's governed: our agent-analysis platform, Docent, was used in Claude's safety analysis and is integrated with core agent benchmarks like SWE-bench, while our evaluations are directly underpinning regulation, including our role as EU AI Office’s main evaluation developer for harmful manipulation risks.

About the role: We're hiring our first dedicated engineering leader to build the engineering function Transluce needs for its next stage of growth: from 20 people (14 technical) to 40+ by mid-2027. Our central bet is to use AI to understand AI, using both scaffolded off-the-shelf agents as well as specialized agents trained internally. Our engineering work spans product, AI systems, and research infrastructure, and is tightly integrated with our research function. We are looking for a strong, technically-oriented engineering leader; expertise in AI or research are a plus, but not required.

Core responsibilities: 
  • Drive technical and operational excellence across the engineering function and broader org through culture, process, and systems
  • Hire and retain an industry leading technical team to advance Transluce’s mission
  • Build engineers’ and managers’ careers across the org
  • Work with technical staff and leadership across Transluce to create strong clarity and alignment around goals, priorities, and roadmaps, at both the org-level and team-level
  • Manage competing priorities and identify and explain trade-offs, advocating for what’s best for the organization
  • Clearly communicate Transluce’s mission, strategy, and technical direction internally and externally; know how each new hire would come to the team and contribute to that vision
  • Facilitate effective collaboration within and across teams
  • Set vision and prioritization for core infrastructure; work with senior engineers to design the overall platform/technical stack 

Qualities of a strong candidate:
  • Able to operate on a 12+ month time horizon for organizational design, technical strategy, and overall org theory of change
  • Can hire and inspire senior engineers, researchers and managers by being someone they can learn and grow from
  • Articulates and argues for a clear perspective, but is prepared to disagree and commit
  • Past experience in a similar role: taking a small, fast-growing company from 20 to 40+ as a senior leader working with one or more layers of management below them
  • Strong management skills with an ability to both directly line manage teams and mentor and lead managers
  • Not afraid to get into the technical details where relevant, but also able to make good decisions without knowing every detail

We are located in San Francisco and enthusiastic to work together in-person. We are open to sponsoring international visas.


Skills Required

  • Experience in a similar role in a fast-growing company
  • Strong management skills with experience in mentoring and leading teams
  • Ability to operate on a long-term strategic vision
  • Capable of making informed decisions at a technical level
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The Company
HQ: San Francisco, California
20 Employees
Year Founded: 2024

What We Do

Transluce is an independent research lab that builds open, scalable technology for understanding AI systems and steering them in the public interest. Transluce means to shine light through something to reveal its structure. Today’s complex AI systems are difficult to understand—not even experts can reliably predict their behavior once deployed. Given AI's extraordinary consequences on society, we need scalable and open analyses of the capabilities and risks of AI systems. We are building open source, AI-driven tools to understand and analyze AI systems. We will apply these tools to open-weight models, so the world can vet our analyses and improve their reliability. Once our technology has been vetted, we will work with frontier AI labs and governments to ensure that internal assessments reach the same standards as our publicly vetted procedures. Email: [email protected]

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