Senior Backend Software Engineer, Tennr
$190-215k
+ Offers Equity & $10K – $50K Bonus
4 days a week in office (Hudson Square, NY)
Automation platform for healthcare operations
Be an early applicant
Automation platform for healthcare operations
201-500 employees
Be an early applicant
$190-215k
+ Offers Equity & $10K – $50K Bonus
4 days a week in office (Hudson Square, NY)
201-500 employees
Company mission
To ease the administrative burdens on healthcare providers.
Role
Who you are
- We’re looking for someone who embraces a founder’s mindset, thrives on systems-wide thinking, and proactively drives projects from conception to completion
- The ideal candidate has experience with backend architecture, event-driven systems, and orchestration frameworks, along with a proven track record of building production-ready systems
- 5+ 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
- We’re seeking a Senior Backend Engineer with a passion for systems architecture, data modeling, and large-scale workflow orchestration
- In this role, you’ll architect and implement features end-to-end across our backend services and infrastructure, ensuring they deliver direct customer value
- You’ll design and optimize data schemas, build resilient backend services, and ensure seamless integration with third-party systems
- You’ll lead initiatives in high-volume workflow automation, with a strong focus on building and optimizing scalable data processing and machine learning infrastructure
- This includes designing and maintaining complex workflows that leverage ML to drive automation, as well as driving performance optimization efforts to ensure scalability, reliability, and adherence to best practices across all layers of the stack
- Collaboration is key—you’ll work closely with sales and customer experience teams to incorporate customer feedback, and with engineering teammates to bring robust solutions to life
- You’ll play a key role in shaping the technical foundation of our platform, ensuring reliability, scalability, and adaptability as we expand
- 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
- Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact
- Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure
- Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system
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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