Vannevar Labs supports people on the front lines by building tools that deter and de-escalate conflict with America's adversaries. We build software and hardware for this mission that enable our customers to maintain maritime vigilance, disrupt misinformation, and collect non-traditional intelligence. In strategic competition, the intelligence and actions that shape conflict occur well before war itself. We build tools to win this fight now.
This mission has become urgent. The US and our allies are fighting a war of deterrence with woefully outdated technology. As a team, we believe in public service and that our democracy and government improve only if we put serious, collective effort into improving them, including the technology our government uses.
Since our founding in 2019, we have grown to support a wide range of missions and capabilities across all U.S. service branches, multiple combatant commands, partner nations, and the intelligence community. We have been profitable since 2021, and are backed by investors including General Catalyst, DFJ Growth, Point72, Costanoa, and Felicis.
About the role
We're looking for a talented Software Engineering Manager to lead our data platform engineering team, specializing in data pipelines, data warehousing, and APIs that support developers building tools for the US DoD.
You'll be tasked with leading a growing team responsible for structuring a diverse collection of multimodal datasets and providing various access patterns for internal developers including multi-media semantic search, entity search, and relational data primitives. This team plays a crucial role in powering most of Vannevar Labs' mature products, while also supporting new product initiatives. You will enable internal developers to move faster by solving common problems, reduce duplication of systems, and build the foundation that makes our products successful.
What you’ll do
What we look for
What we offer
The salary range for this position is $200,000 - $240,000 + equity + 401K match. Within the range, individual pay is determined by experience, relevant education, and/or training.
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