Technical Recruiter, Tennr

$125-155k

+ Offers Equity + Offers Bonus

Junior, Mid and Senior level

New York

Office located in NYC Metropolitan Area

Automation platform for healthcare operations

Be an early applicant

Automation platform for healthcare operations

21-100 employees

HealthcareB2BArtificial IntelligenceSaaSAutomation

Be an early applicant

$125-155k

+ Offers Equity + Offers Bonus

Junior, Mid and Senior level

New York

Office located in NYC Metropolitan Area

21-100 employees

HealthcareB2BArtificial IntelligenceSaaSAutomation

Company mission

To ease the administrative burdens on healthcare providers.

Job

Company

Role

Who you are

2–5 years of experience in technical recruiting, ideally in high-growth startup environments
Strong sourcing chops and familiarity with modern sourcing tools/platforms
Ability to context-switch between different technical profiles and hiring managers
Clear communicator with strong candidate and stakeholder management skills
Comfortable running 4–6 open reqs at a time end-to-end

What the job involves

We’re looking for a full-cycle Technical Recruiter to help us scale our engineering, product, and data teams
You’ll take ownership of key technical searches, working closely with hiring managers to find exceptional talent, craft a great candidate experience, and close hires efficiently
This is an IC role embedded in our growing Talent team and a critical part of how we scale
Own full-cycle recruiting across technical roles: engineering, data, product, etc
Source high-quality technical candidates and run proactive outbound campaigns
Guide hiring managers on best practices around job definition, interview loops, and decision-making
Ensure a high-quality, high-touch candidate experience throughout the process
Maintain clean data and regular reporting in our ATS
Partner with the broader People team to iterate on processes as we grow

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 3 rounds)

Oct 2024

$37m

SERIES B

Mar 2024

$18m

SERIES A

Total funding: $55.2m

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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