Job Description
The role involves leading a high-velocity engineering team to develop and operationalize AI-powered geospatial products, transforming satellite imagery data into accessible insights for various high-stakes applications such as forensics and change detection.
Key Responsibilities
- Lead and manage a high-velocity engineering team to develop geospatial AI capabilities into a market-ready product.
- Build and oversee talent acquisition, onboarding, and team development within the engineering squad.
- Foster a culture of ownership, accountability, and high performance among engineers.
- Design and iterate on team operating systems, including sprint cadences and testing processes, to support research-to-product transition.
- Collaborate with AI research teams to translate research models and workflows into production systems.
- Establish automated evaluation benchmarks to measure development progress and quality.
- Mentor and coach engineers to support their career growth and maintain team engagement.
- Partner with product and design teams to develop technical roadmaps and identify potential risks.
- Act as a cross-functional leader to ensure engineering efforts align with forensics and change detection use cases.
Requirements
- Six years of relevant experience in software engineering or related fields.
- Four years of experience leading software engineering teams, including founding or high-growth environments.
- 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.
- Ability to manage conflict, deliver difficult feedback, and keep a team motivated through pivots in an early-stage product environment.
- Ability to identify process issues that slow down team velocity and implement necessary cultural or structural changes to restore productivity.
- Technical breadth to synthesize input from AI researchers and frontend experts to make sound architectural and personnel decisions, including identifying when to collaborate with research teams for model development.
- Pragmatic approach to development that avoids seeking perfection at the expense of delivering meaningful customer value.
- 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 crucial insights.
- Experience with geospatial data or planetary-scale analytics (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
Paid Volunteering Time Off
US base salary range of 182,900 - 228,600 USD
Discretionary short-term and long-term incentives, bonus, and equity (potentially applicable)
Ready to Apply?
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