Chief of Staff

We build Source and we build with Source. We maintain an open-source, edge-native data stack and deploy it in production where the cloud isn't an option — phones, laptops, vehicles, robots, ground stations, satellites. Engineer-led, no roadmap theater, no process for the sake of process. The plan is to ship, learn, and fix what breaks. Upstream, we're making the stack faster, more correct, and less annoying to use.

Downstream, we're deploying real workloads for partners on hardware that doesn't forgive lazy engineering. We run managed services too, for teams that want edge infra without the ops burden. If you'd rather debug a CRDT merge on a satellite than sit through a sprint retro, you'll like it here.

Location:

SF/Bay Area + NA

Salary: $125,000 - $175,000 + equity

Source is building the infrastructure layer for the edge-first era — a world where data is created, processed, and verified directly at its source, across devices, systems, and networks operating beyond the cloud. From satellites and vehicles to sensors, industrial systems, and local servers, the edge is becoming the new frontier of computing.

Our mission is to make managing, securing, and verifying data across billions of distributed environments as seamless as it is in the cloud — without compromising privacy, autonomy, or trust.

Source’s modular data stack — including DefraDB (edge-first database),
LensVM (data transformation engine),
Source Hub (trust and access protocol), and Orbis (secrets management) — provides the foundation for this shift. Together, they enable developers and organizations to deploy software that can operate locally, sync globally, and verify itself anywhere.

Source is building the data foundation for the edge-first world — powering everything from real-time autonomy and mission-critical industrial systems to energy, telecommunications, space technologies, and edge AI applications. It’s infrastructure that allows organizations, machines, and people to interact with information securely, verifiably, and autonomously — whether on Earth, in orbit, or anywhere in between.

As Chief of Staff
, you’ll be the connective force across Source’s leadership — helping turn vision into execution and execution into scale. You’ll work directly with the CEO to drive key initiatives across product, engineering, operations, partnerships, and fundraising as Source moves from breakthrough R&D to global deployment.

This is a high-leverage, high-trust role for someone who thrives in complexity, navigates ambiguity with clarity, and knows how to build organizational momentum around a shared mission.

You’ll be at the center of one of the most ambitious deep-tech companies of this decade — helping shape how the world manages and trusts data beyond the cloud.

• Act as a strategic partner to the CEO — driving company priorities, tracking progress across functions, and ensuring the organization executes against its goals.
• Lead cross-functional initiatives spanning engineering, business development, and operations to accelerate Source’s scaling efforts.
• Design and refine internal systems for decision-making, communication, and execution as the company grows.
• Prepare strategic materials and narratives for investors, partners, and internal stakeholders.
• Coordinate efforts across product, engineering, and partnership teams to ensure alignment around Source’s long-term vision.
• Operate as a trusted advisor and thought partner — helping anticipate challenges, identify opportunities, and build organizational clarity around them.

• 5–10 years of experience in high-growth startups, venture-backed deep tech, strategy consulting, or operational leadership roles.
• Strong strategic thinking skills and the ability to translate complex technical concepts into actionable plans.
• A background in (or strong curiosity for) distributed systems, AI/ML, hardware, data infrastructure, or cryptography.
• Exceptional communication and organizational skills — comfortable interfacing with investors, engineers, and partners alike.
• A bias toward clarity, momentum, and problem-solving in ambiguous…