Staff Product Engineer
About the role
Product Engineer (Full Stack) role at Tennr, building end-to-end features across frontend and backend with a focus on healthcare referrals, AI integration, and delivering customer value.
Responsibilities
- Architect and implement features that drive direct customer value end-to-end in our frontend and backend environments.
- Follow and adopt the latest techniques in artificial intelligence. Work at the cutting edge, apply and innovate upon the world’s fastest moving technology.
- Lead performance optimization initiatives, ensuring code quality and adherence to best practices.
- 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.
Qualifications
- 8+ years of experience in full-stack development, with a strong focus on JavaScript and familiarity with TypeScript.
- Proven track record of building and maintaining scalable web applications.
- Excellent problem-solving skills and a knack for efficient, clean coding practices.
- Experience with AI model integration and a strong interest in AI and machine learning.
- 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.
Skills
Benefits
- New, spacious Chelsea office
- Unlimited PTO
- 100% paid employee health benefit options
- Employer-funded 401(k) match
- Competitive parental leave
About Tennr
Fast, Transparent Patient Experiences
Tennr is solving the black hole problem in healthcare by leveraging models to digitize the flow of paperwork between healthcare providers. -- Today, when you go to your doctor and need to be referred to a specialist (e.g., for sleep apnea), your doctor sends a fax (yes, in 2024, 90% of provider-provider communication is a 1980s fax). These are often converted into 20+ page PDFs, with handwritten (doctor’s handwriting!) notes, in thousands of different formats. The problem is so complex that a person has to read it, type it up, and manually enter your information. Tennr built RaeLM™ (7B—trained on 3M+ documents) to read these docs, talk to your doc to ensure nothing is missed, and text you to help schedule your appointment so you can get better, faster.
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