Forward Deployed Engineer
Nanonets seeks a Senior Forward Deployed Engineer to partner with strategic startup customers, deploying AI solutions using Python, JavaScript, and LLMs. This hybrid role in Palo Alto offers a base salary of $120k-$160k plus equity.
Responsibilities
- Partner closely with customers to deploy Nanonets to production, guiding them from ideation to scale.
- Translate customer requirements into clear documentation (PRDs, workflows, success criteria) for internal teams.
- Maintain and prioritize backlogs across multiple customer accounts.
- Plan and communicate project timelines using structured documentation.
- Ensure end-to-end testing and validation of workflows before customer release.
About the role
About Us
Nanonets agents are built for complex business processes. Ranked #1 in understanding unstructured data and applying business rules in processes like accounts payable, order management, and supply chain.
Nanonets agents handle the exceptions other tools miss, reducing processing time by 94% and delivering clean data to SAP, Salesforce, or any system of record.
That's why global enterprises reach for Nanonets when workflows are complex and accuracy is non-negotiable.
Learn more about us here:
Youtube
Hugging Face
Nanonets Research
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: $120,000–$160,000, plus equity and benefits.