Job Description
The role involves leading a high-velocity engineering team to develop and operationalize AI-driven geospatial products, transforming satellite imagery analysis into accessible, market-ready solutions that support high-stakes decision-making and global change detection.
Key Responsibilities
- Lead a high-velocity engineering team to develop and transition geospatial AI capabilities into a market-ready product.
- Build and manage a talent pipeline, including sourcing, hiring, onboarding, and mentoring engineers in a complex geospatial domain.
- Foster a culture of ownership, accountability, and collaboration within the engineering team.
- Design and iterate on the team's operating processes, including sprint cadences, testing, and development workflows.
- Collaborate with AI research teams to translate research models and workflows into production systems that deliver value.
- Establish evaluation benchmarks and automated testing to measure progress and improvement velocity.
- Partner with product and design teams to develop a technical roadmap, identify risks, and ensure alignment with strategic goals.
- Act as a cross-functional leader, ensuring engineering efforts support forensics and change-detection use cases.
Requirements
- 6 years of relevant experience in software engineering or related fields.
- 4 years of experience leading software engineering teams, including founding or high-growth environment experience.
- Bachelor's degree in a relevant field.
- Experience and enthusiasm for leading AI engineering teams that have successfully elevated research prototypes into production-grade applications.
- Personally AI-native, with the ability to write production code with AI tools, and strong opinions on how AI is changing the engineering SDLC.
- Ability to build a culture where AI is a core collaborator in the development process, not just a tool to be managed cautiously.
- Experience with managing conflict, delivering difficult feedback, and keeping a team motivated through pivots in an early-stage product environment.
- Ability to identify process bugs that slow down a team and implement cultural or structural changes to restore velocity.
- Technical breadth to synthesize input from AI researchers and frontend experts for architectural and personnel decisions, including identifying when to collaborate with research teams for model development.
- Pragmatic approach to development, focusing on delivering meaningful customer value without seeking perfection.
- Impact-focused mindset, with the ability to build applications that enable users such as researchers, journalists, governments, and NGOs to explore the world using natural language and surface insights.
- Experience with geospatial data or planetary-scale analytics is highly preferred.
Benefits & Perks
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)
Home Office Reimbursement
Monthly Phone and Internet Reimbursement
Tuition Reimbursement and access to LinkedIn Learning
Equity
Commuter Benefits (if local to an office)
Discretionary short-term and long-term incentives (bonus and equity)
Salary range of $182,900 - $228,600 USD (dependent on experience, skills, and location)
Ready to Apply?
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