# VP of Engineering at Terra AI

- Company: Terra AI
- What the company does: A geoscience frontier company building AI to accelerate subsurface resource development for a clean energy future. Backed by Khosla.
- Company website: https://terraai.com/
- Type: Startups (AI role)
- Level: Principal and up
- Location: Redwood City Office
- Work setup: On-site
- Pay: $300K to $400K base salary per year (USD)
- Posted: 2026-10-13
- Apply by: 2026-11-27
- Apply: https://jobs.ashbyhq.com/terraai/2ebfba23-6bd0-43eb-937d-ef713a948018?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/terra-ai-vp-of-engineering/

## About the role

Terra AI has a strong research practice developing novel models and algorithms, and a Product and Platform organization that turns mature capabilities into enterprise applications and workflows. We are looking for a VP of Engineering to build the critical function between them: translating promising research prototypes into robust, reusable backend technology that Product can confidently integrate and scale. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Most importantly, you want to build. The opportunity to establish the engineering function between Research and Product excites you precisely because the architecture, standards, team, and operating model are still taking shape
- Demonstrated experience personally maturing novel technical, algorithmic, or scientific capabilities from research or early prototype into robust engineered systems deployed in real-world environments
- A track record of building a meaningful engineering function, including recruiting, team design, management practices, technical processes, and developing engineering leaders
- Deep software and systems architecture judgment across backend services, computational systems, interfaces, modularity, performance, reliability, and maintainability
- Experience working effectively at the boundary between research scientists or advanced algorithm teams and product engineering organizations
- Strong AI/ML fluency, including probabilistic outputs, model limitations, training and inference constraints, and the practical challenges of deploying novel models, a research doctorate is not required

Tags: Engineering

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/terra-ai-vp-of-engineering/