Senior Tech Lead Manager

present of AI; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Tennr is seeking a senior operations lead in New York City to head a product pod. This hands-on role splits time between writing and reviewing code, shaping system design, and coaching engineers.

A strong candidate has many years of full stack or backend work, a track record building scalable web systems and distributed services, and excels at guiding engineers through ambiguous problems. The role emphasizes clear communication, prioritization, and collaboration with product and data teams to

Qualifications

• Hands-on lead role on a product pod.
• Many years of full stack or back end work.
• Track record of building scalable web systems and distributed services.
• Clear communication, sound prioritization, and comfort with unclear problems.

Responsibilities

• Lead a product pod as a hands-on senior engineer and mentor.
• Split time between writing and reviewing code.
• Shape system design for reliable services.
• Coach engineers across multiple levels.

Skills

Full stack depth

Mentoring engineers

System design

Clear communication

Job description

Operations · New York City Office · FullTime · Senior level

This is a hands on lead role on a product pod, splitting time between writing and reviewing code, shaping system design, and coaching engineers. A strong candidate brings many years of full stack or back end work, a record of building scalable web systems and distributed services, and comfort guiding engineers at several levels. Clear communication, sound prioritization, and ease with unclear problems matter as much as technical depth.

How it fits the AI era

The product runs on models that read medical documents and route referrals, so the lead shapes how those models fit into reliable services and how people check and correct the output. Much of the judgment stays human: deciding what to build, weighing tradeoffs, and turning customer feedback into features. The role sits where model driven automation meets the everyday work of getting patients to care.

How it builds AI experience

The posting lists building on large language models or agent setups as a plus, along with speech models, real time audio and video, and telephony integrations. A candidate can build this by shipping features that put models into production workflows and by learning how document reading and routing pipelines are evaluated and kept reliable. Experience with voice or phone systems would also fit the company's document and call handling work.

Worth showing

• Full stack or back end depth
• Mentoring engineers

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.