planetlabs
Senior Engineering Manager - AI Geospatial Assistant Team
At a Glance
- Location
- United States
- Experience
- 6+ years
- Posted
- 2026-02-20T15:52:06-05:00
Key Requirements
Domain Knowledge
- Engineering
Requirements
4+ years of experience leading software engineering teams
Track record of hiring and leading founding engineering teams in a startup or high-growth "intrapreneurial" environment.
Experience and enthusiasm for leading AI engineering teams that have successfully elevated research prototypes into production-grade applications.
This enthusiasm should not only inform the product features, but should also foster a culture of developer workflows that take an AI-assisted development approach
Technical Breadth: While you may not be the deepest specialist on the team, you have the breadth to synthesize input from AI researchers and frontend experts to make sound architectural and personnel decisions.
request development of a fine tuned model for a slow but simple LLM call)
Compensation & Benefits
These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.
Comprehensive Medical, Dental, and Vision plans
Health Savings Account (HSA) with a company contribution
Generous Paid Time Off in addition to holidays and company-wide days off
16 Weeks of Paid Parental Leave
Wellness Program and Employee Assistance Program (EAP)
Responsibilities
Planet’s mission is to image the entire world every day, making global change visible, accessible, and actionable.
We are at a critical inflection point: operationalizing promising AI research into delivery-focused enterprise "productization".
To drive this, we are building a new product group focused on launching an
AI Geospatial Assistant
that transforms how our customers interact with global imagery to solve high-stakes problems in forensics and daily change detection.
Operating with a zero-to-one startup mindset, this team prioritizes weekly learning velocity and customer-driven graduation criteria to move rapidly from private alpha to general availability.