Backend Software Engineer, Tennr

$180-220k

+ Equity

TypeScript

JavaScript

Mid and Senior level

New York

More information about location

4 days a week in office (Chelsea, NY)

Automation platform for healthcare operations

Job no longer available

Automation platform for healthcare operations

21-100 employees

HealthcareB2BArtificial IntelligenceSaaSAutomation

Job no longer available

$180-220k

+ Equity

TypeScript

JavaScript

Mid and Senior level

New York

More information about location

4 days a week in office (Chelsea, NY)

21-100 employees

HealthcareB2BArtificial IntelligenceSaaSAutomation

Company mission

To ease the administrative burdens on healthcare providers.

Job

Company

Role

Who you are

3+ years of experience in backend development, with a strong focus on JavaScript and familiarity with TypeScript
Proven track record of building and maintaining scalable web applications, particularly in high-volume workflow automation and data processing
Experience with integrating machine learning models into production environments and optimizing data pipelines
Excellent problem-solving skills and a knack for efficient, clean coding practices
Outstanding communication skills, capable of articulating complex technical concepts to a diverse audience
A team player who thrives in collaborative environments and values diverse perspectives
Prior experience in a startup or fast-paced tech environment is a plus

What the job involves

Architect and implement features that drive direct customer value end-to-end across our backend services and infrastructure
Lead initiatives in high-volume workflow automation, with a strong focus on building and optimizing scalable data processing and machine learning infrastructure
Design and maintain complex workflows that leverage machine learning to drive automation
Drive performance optimization efforts, ensuring scalability, reliability, and adherence to best practices across all layers of our stack
Collaborate with sales and customer success teams to respond to feedback from our customers and prospects
Embrace a founder’s mindset, proactively driving projects from conception to completion, and contributing significantly to our company’s growth and success

Our take

In the healthcare system, there are inefficiencies associated with the referral process to specialists. Often coming in various forms, from email to fax, without any standardized structure, this leads to administrative burdens and significant delays in patient care.

Tennr has developed a machine learning and document scanning platform that automates the extraction of relevant information from referrals and facilitates faster appointment scheduling. With its focus solely on the healthcare industry, it addresses the complexities of medical terminology and ensures doctors, clinics and insurers stay informed throughout the process.

It's off to a successful start, with early adopters reporting significant improvements in their workflows, signalling strong market demand for the solution. This success is accompanied by early funding, enabling the company to focus on accelerating its growth for a bright future in the healthcare automation sector.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 5 rounds)

Jun 2025

$101m

SERIES C

Oct 2024

$37m

SERIES B

Total funding: $156.3m

Company HQ

Chelsea, New York, NY

Leadership

Trey Holterman

(Co-Founder & CEO)

They studied Computer Science with a focus on Machine Learning at Stanford. Prior to starting Tennr, they focused on applying their research in the health technology world at HealthIQ and Strava.

Diego Baugh

(Co-Founder & CTO)

They studied Computer Science at Stanford with a focus on Human Computer Interaction and Design. Prior to Tennr, they built automation systems at Goldman Sachs as an Automation Engineer.

Tyler Johnson

(Co-Founder & CTO)

They studied Computer Science with a focus on Systems and Networking at Stanford. Prior to Tennr, they worked as a Lead Engineer at Tanduo, where they built bespoke data workflows for large industrial companies.

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