Talent Acquisition Partner, Tennr
GTM
$95-115k
Offers bonus and equity
Office located in NYC, New York
Automation platform for healthcare operations
Open for applications
Automation platform for healthcare operations
201-500 employees
Open for applications
$95-115k
Offers bonus and equity
Office located in NYC, New York
201-500 employees
Company mission
To ease the administrative burdens on healthcare providers.
Role
Who you are
- 3+ years of full-cycle recruiting experience in high-growth startups or venture-backed tech environments
- Demonstrated track record hiring across GTM functions
- Strong sourcing instincts with a history of engaging passive talent
- Experience working inside an ATS; Ashby experience is a plus
- Crisp stakeholder communication
- Ownership mentality: you track your own funnel, flag your own problems, and propose your own solutions
- Comfortable operating in ambiguity because we move quickly and we’re always adapting and improving
What the job involves
- We’re hiring a Talent Acquisition Partner to manage full-cycle recruiting across multiple functions
- In this role, you’ll work closely with hiring managers to identify top talent, manage efficient search processes, and deliver excellent candidate experiences
- This is a hands-on recruiting role focused on execution and strong partnership with business leaders
- Own full-cycle recruiting for a range of functions
- Partner with hiring managers to define hiring plans, role requirements, and interview processes aligned to company values
- Develop and execute creative sourcing strategies to identify and engage passive candidates
- Deliver high-quality candidate experiences through timely communication, feedback loops, and preparation
- Conduct initial screens and calibrate with hiring teams to align on expectations and improve funnel quality
- Maintain consistent pipeline and funnel reporting in Ashby (ATS), supporting data-driven hiring decisions
- Serve as a strategic partner to hiring managers, sharing talent insights, competitive benchmarks, and recommendations
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 had a successful start, customers reporting significant improvements in their workflows, signalling strong market demand for the solution. This success is accompanied by strong funding, enabling the company to focus on accelerating its growth. It has also announced the launch of Tennr Network, which provides real-time updates to referring and receiving providers, as well as patients, on the status of any referral.
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 benefits
- Meaningful equity
- In-person culture
- Promoting from within
- 401k matching
- Unlimited PTO
- Free lunch (and a pantry stocked with a strangely wide array of puffed corn snacks)
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 & CPO)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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