What are the responsibilities and job description for the Deployment Engineer position at Netic?
Netic is the AI revenue engine for essential services who are the backbone of the American economy.
With $43M in funding from Founders Fund, Greylock, Hanabi, and Dylan Field who led our Series B, we helped our customers book hundreds of thousands of jobs across services industries in North America. There are now companies operating entirely AI-first on Netic.
You’ll join our team with relentless builders from Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard in bringing frontier AI to the physical economy, where the problems are hard, the data is complex, and the impact is immediate and tangible.
Our Deployment Engineers bring Netic’s AI agents to life for customers across essential service industries. You’ll sit at the intersection of software, AI, and operations—owning customer deployments and solving complex technical and business problems to drive measurable business outcomes.
What You’ll Do
With $43M in funding from Founders Fund, Greylock, Hanabi, and Dylan Field who led our Series B, we helped our customers book hundreds of thousands of jobs across services industries in North America. There are now companies operating entirely AI-first on Netic.
You’ll join our team with relentless builders from Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard in bringing frontier AI to the physical economy, where the problems are hard, the data is complex, and the impact is immediate and tangible.
Our Deployment Engineers bring Netic’s AI agents to life for customers across essential service industries. You’ll sit at the intersection of software, AI, and operations—owning customer deployments and solving complex technical and business problems to drive measurable business outcomes.
What You’ll Do
- Own end‑to‑end deployments: Manage everything from design to implementation to rollout, including mapping customer workflows, measuring success, and iterating with customers.
- Co‑build with customers: Bridge the gap between customer operations and our product, turning messy real-world processes into automated workflows driving immediate business impact.
- Scale customer impact: Surface patterns and opportunities across customers to inform product and engineering roadmaps.
- Bridge engineering and sales: Serve as the connective tissue between technical and go-to-market teams, translating customer needs into scalable solutions that accelerate growth across industries.
- Technical foundation: Coding experience in TypeScript, Python, or a similar modern language and a strong grasp of APIs, databases, and web app architecture.
- Customer obsession: Comfortable engaging directly with customers to troubleshoot issues, understand edge cases, and deliver fast solutions.
- Startup scrappiness: Bias toward action—willing to learn new technologies (Next.js, Hasura, Postgres) as you go.
- Founder‑level ownership: You run toward ambiguity, write clean code quickly, and see failures as data for the next sprint.
- Problem-solving mindset: Comfortable troubleshooting complex systems, identifying root causes, and delivering rapid fixes under pressure.
- Live to build
- Run through walls and win
- Obsess over customers in each line of code
- Lose sleep over the "almost perfect"
- Show internal locus of control
- Prioritize finesse: refinement of first principles thinking, execution, and craftsmanship