Nanonets is now Trail.
Thanks for being part of the journey. More soon!
About Us: Trail is the context layer AI agents run on. We're building the missing layer between your company's rules, exceptions, and institutional knowledge and the agents trying to act on them. It's a governed graph that lets any agent or platform, including Trail agents, make the right call on your most complex business processes. Agents today fail not because models are weak, but because they're never given the judgment a business builds up over years. We're fixing that.
The Role
We're looking for a technically strong, customer-focused Forward Deployed Engineer to help enterprise customers build and scale Agentic AI — from first conversation to production.
What You'll Do
Be the technical partner for customers, driving deployments from ideation to production.
Translate customer problems into clear requirements (PRDs, workflows, success criteria) and build them.
Collaborate with Product, Engineering, and Solutions teams to scope, prioritize, and deliver on time.
Maintain structured project documentation — plans, trackers, and status updates.
Own end-to-end testing and validation before every customer release.
What We're Looking For
1+ years as a Forward Deployed Engineer, software engineer, ML engineer or equivalent — startup experience preferred; founder or founding engineer background is a plus.
Proficiency in at least one language: Python, Go, JavaScript, or similar.
Ability to proactively surface customer challenges during onboarding.
End-to-end ownership mindset — you figure out what you don't know and get it done.
A humble, collaborative attitude with a high-output, multi-project operating style.
Details
Hybrid (2 days/week in Palo Alto). Bay Area based.
Base salary: $130,000–$160,000, plus equity and benefits.
Skills Required
- 1+ years of experience as a Forward Deployed Engineer, software engineer, ML engineer, or equivalent
- Proficiency in at least one programming language, such as Python, Go, or JavaScript
- Ability to proactively identify customer challenges during onboarding
- End-to-end ownership mindset and ability to independently learn and solve problems
- Startup experience
- Founder or founding engineer experience
- Humility, collaboration, and ability to manage multiple projects in a high-output environment
- Bay Area location and availability to work hybrid two days per week in Palo Alto
What We Do
Nanonets enables self-service artificial intelligence by simplifying adoption. Easily build machine learning models with minimal training data or knowledge of machine learning. At Nanonets, we serve up the most accurate models. Always.
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