Forward Deployed Engineering Team Manager

present of AI; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

Tennr in New York City seeks a mid-level manager to lead a pod of forward deployed engineers delivering customer implementations. You will own delivery outcomes across a book of accounts, set the quality bar through reviews and dry runs, and hire and develop engineers while handling escalations.

A strong candidate has led implementation or solutions teams, shows sound architectural judgment, and can partner with Product to turn field patterns into priorities.

Qualifications

• Experience leading implementations or solutions teams in regulated environments.
• Ability to judge architecture and workflows with sound technical judgment.
• Partner with Product to translate field patterns into priorities.

Responsibilities

• Lead a pod of forward deployed engineers delivering customer implementations.
• Own delivery outcomes across a book of accounts.
• Set quality bar through reviews and dry runs.
• Hire and develop engineers; handle escalations.

Skills

Implementation leadership

Delivery metrics ownership

Architecture review

Healthcare tech delivery

Product feedback loops

Job description

Customer & Solutions · New York City Office · FullTime · Mid level

This is a people leadership role for someone who runs a pod of forward deployed engineers delivering customer implementations. The manager owns delivery outcomes across a book of accounts, sets the quality bar through reviews and dry runs, hires and develops engineers, and handles escalations. A strong candidate has led implementation or solutions teams, shows sound technical judgment on architecture and workflow, and can partner with Product to turn field patterns into priorities.

How it fits the AI era

The product uses trained models to read medical documents and route referrals, so the engineering work centers on fitting that automation into each customer's real workflows. The manager's job stays human: judging architecture, coaching engineers, catching risk before contracts close, and deciding what quality looks like. AI speeds up the paperwork handling, but delivery success still depends on people making sound calls under ambiguity.

How it builds AI experience

Working here means seeing how document reading models get deployed into live healthcare operations and where they need human oversight. A candidate can build this by leading implementations of AI or automation tools in regulated settings and learning to spot failure modes early. Experience turning recurring field issues into product feedback also helps, since that loop shapes how the models and workflows improve.

Worth showing

• Implementation team leadership
• Delivery metrics ownership
• Architecture review judgment
• Healthcare tech delivery
• Product feedback loops

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Tennr

AI trained on medical documents that reads faxed patient referrals and routes them so specialty practices stop losing patients in paperwork.