# Software Engineer - Mission Dev at Nominal

- Company: Nominal
- What the company does: Nominal powers mission-critical engineering with advanced data infrastructure, real-time observability, and analysis tools — all in one collaborative platform. Backed by General Catalyst, Lightspeed and Sequoia.
- Company website: https://www.nominal.io/
- Type: Startups
- Level: Mid level
- Location: New York, United States
- Work setup: On-site
- Pay: $130K to $230K base salary per year (USD)
- Posted: 2025-05-01
- Apply by: 2026-10-08
- Apply: https://jobs.gem.com/nominal/e0f3ee8b-0030-4506-a6e2-da0710d90a05
- Page: https://www.1752.vc/careers/jobs/nominal-software-engineer-mission-dev/

## About the role

The Mission Dev team operates at the intersection of cutting-edge software engineering and critical customer missions. As a Software Engineer on the Mission Dev team, you're not just supporting customers; you're embedding with them to solve their hardest data challenges head-on. Think like a startup cofounder or an early-stage CTO : you'll dive into ambiguous problem spaces, own solutions end-to-end, and rapidly iterate to deliver impactful results.

## What they're looking for

- Build and deploy custom applications, scripts, and extensions to meet specific customer requirements and unlock new capabilities, biasing towards action and rapid prototyping
- Design and implement resilient data pipelines and integration workflows to connect diverse customer data systems with Nominal’s offerings, often in complex and novel environments
- Work closely with our Sales and Mission Ops teams to ensure seamless customer handoffs, provide deep technical expertise during pre-sales conversations, and scope customer engagements effectively
- Gather customer feedback and insights from the frontline to inform product development, influence Nominal's technology roadmap, and improve our offerings
- Help grow the team by sourcing, interviewing, and onboarding new engineers
- Experience designing, building, and shipping software in potentially ambiguous or fast-changing environments