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Elicit

Engineering Manager

RemoteUnited States only
Published
Role
Engineering Management
Experience
Senior
Employment
Full-time
Company size
Startup
$250k–$300k/yr
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Elicit is growing and needs an Engineering Manager to scale the team without sacrificing speed, technical excellence, and ownership. This role focuses on coaching and building a high-performing team, rather than individual coding contributions, while ensuring wise architectural decisions and mentoring engineers.

What you'll do

  • Directly manage a team of up to 8 software engineers.
  • Coach engineers through technical growth, career development, and increasing ownership.
  • Partner closely with product, designers, and fellow engineers to prioritize tactical and strategic goals into an audacious roadmap.
  • Own the execution of a significant portion of Elicit’s roadmap.
  • Participate in architectural discussions and technical planning.

What they require

  • 7+ years of professional software engineering experience.
  • 3+ years directly managing software engineers.
  • Experience leading engineering teams at high-bar startups.
  • Strong computer science fundamentals and the technical depth to earn the trust of senior engineers.
  • Experience shipping complex, user-facing products with measurable business impact.

Elicit is an AI research assistant that uses language models to help researchers figure out what’s true and make better decisions, starting with common research tasks like literature review. What we're aiming for: 1. Elicit radically increases the amount of good reasoning in the world. - For experts, Elicit pushes the frontier forward. - For non-experts, Elicit makes good reasoning more affordable. People who don't have the tools, expertise, time, or mental energy to make well-reasoned decisions on their own can do so with Elicit. 2. Elicit is a scalable ML system based on human-understandable task decompositions, with supervision of process, not outcomes https://ought.org/updates/2022-04-06-process. This expands our collective understanding of safe AGI architectures.

Artificial IntelligenceStartup
$250k–$300k/yr