Full Stack Team Lead

Exodigo is on a mission to reveal what lies beneath, making it possible to see the underground before a single shovel hits the ground. We combine AI, multi-sensor fusion and geophysics to produce engineering-grade 3D maps of buried utilities, identifying up to 90% of them with zero digging.

More than 100 transportation authorities, governments and utilities worldwide rely on Exodigo, including US Departments of Transportation, California High-Speed Rail and some of the largest engineering projects underway in the world today. Backed by leading investors including Zeev Ventures and Greenfield Partners, we've raised over $200 million to date, with impressive growth year over year. We're building the definitive source of underground truth for the world's most important infrastructure, and we're now expanding into AI-powered civil engineering.

We're looking for a Full Stack Team Lead to build and lead a new team that owns our geospatial workflow applications: the pipelines and interactive tools that turn our sensor data into the engineering-grade maps behind billion-dollar infrastructure projects.

Our problems are grounded in the physical world: sensor data, coordinate systems, and infrastructure built decades ago and documented inconsistently ever since. That's why we don't rely only on public or existing records: we scan the field ourselves with our multi-sensor technologies, giving us data nobody else has and exceptional levels of accuracy.

Our maps are produced by automated processes combined with human review and control steps, and your applications are where the two meet:

• Geospatial data processing pipelines that turn raw sensor data into detected underground utilities, and then into engineering-ready maps and CAD, often with AI models and agentic workflows built in.
• Interactive data workflow applications that combine physical signals, visual data (LiDAR captures, aerial imagery, among others), algorithm results and existing records into 2D and 3D maps, where experts review, correct and approve the algorithm findings.

Challenges span the backend, the frontend and, most of all, the integration between them. They range from scaling the pipelines and applying the right geometric transformations, to serving datasets with hundreds of thousands of features efficiently and rendering them smoothly in the browser. Wherever the impact is, that's where we go. These are hard data, physics, and UX problems, not just CRUD.

We're a fast-paced, mission-driven team that cares deeply about impact, collaboration and product excellence. Our engineers are alumni of top tech companies and IDF technology units. Our bar is high, and everyone here is built for this challenge: a team you'll learn from and be challenged by.

You will be reporting to the VP of Software Engineering.

How we work

• Deep ownership, earned autonomy. You'll be accountable for your applications and your people, with real influence on technical decisions.
• AI-agentic by default. Agentic development is core to how we design, build and test, and we'll count on you to push it further.
• Multidisciplinary. You'll partner with Product/UX, Backend and Algorithms, and with the Signal Analytics, CAD and Field Operations teams who use your tools every day.
• People first. Psychological safety and genuine investment in each person's growth, which is one of your most important responsibilities as a leader.

What you will do

• Build, lead and grow the team: hiring, mentoring, 1:1s, feedback and career growth.
• Own the architecture and technical direction across the full stack: frontend, backend, data and the integrations between them.
• Shape what gets built with Product and your users, defining the problems worth solving, not only how to solve them.
• Be accountable for delivery execution. Scope, plan and ship across a multi-application portfolio, balancing new capabilities against reliability and long-term system clarity.
• Set the team's standards and processes, from code quality and testing to CI/CD and observability, and lead AI adoption by building the AI SDLC workflows the team works by.
• Stay hands-on (±20% of your time). Staying close to the code is how you understand the team's real challenges and where you can make the most impact.
• Bridge R&D and the business, translating between engineers and non-technical stakeholders, and representing the team in engineering and roadmap discussions.

Must have

• 10+ years in software engineering, including 3+ years managing teams at top-tier companies, while staying hands-on.
• A people-first leader who attracts, grows and retains top-talent engineers.
• Proven product orientation: a track record of influencing product direction, and a belief that deeply understanding the domain and the users is key to success.
• Comfort with uncertainty: breaking down loosely defined problems and moving forward without waiting for a full spec.
• BSc/MSc in Computer Science or similar, or equivalent experience.
• Strong technical depth across the stack:
• Python services in production
• React and TypeScript, with a track record of complex, data-heavy, interactive UIs
• AWS serverless and event-driven architectures, with infrastructure as code (CDK or similar)
• Relational databases (PostgreSQL or similar), data modeling, and designing API layers (GraphQL, REST or similar)
• AI-first development, with a track record of building AI SDLC workflows that measurably improved a team's velocity or quality

Nice to have

• Strong advantage: GIS and geospatial engineering across the stack, such as web mapping (deck.gl, Mapbox GL), PostGIS, Python geospatial libraries and coordinate systems
• Integrating computer vision or signal-processing algorithms into products
• CAD or BIM
• Startup or hyper-growth experience

A note on this role: few people have geospatial experience, and that's fine. If you have strong full-stack depth and real curiosity about the domain, we'd like to hear from you.