Hinge Health
Senior Talent Partner, Engineering
San Francisco-HQ · Senior
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About the role
- You will shape search strategy, calibrate hiring plans, use market insights to influence decisions, and ensure candidates have a thoughtful, high-quality experience from first touch through close.
Responsibilities
- Own full-cycle recruiting for engineering roles across software engineering, hardware, data science, and/or data platform-from intake and calibration through offer close and handoff.
- Partner with engineering leaders to define role scope, level, and search strategy based on business needs and market reality.
- Build and manage high-quality pipelines for technical talent, including passive candidate outreach in highly competitive markets.
- Use recruiting data and funnel insights to diagnose bottlenecks, improve hiring efficiency, and drive better decision-making with stakeholders.
- Lead thoughtful calibration conversations when hiring teams need to reassess expectations around level, compensation, or candidate profile.
- Create an excellent candidate experience by ensuring clear communication, strong process management, and a high-touch, respectful approach throughout the interview journey.
Requirements
- 3+ years of full-cycle technical recruiting or talent partnership experience, with meaningful experience supporting hiring across software engineering, hardware, data science, or data platform functions.
- You know how to influence senior technical stakeholders, push on assumptions, and guide teams toward better hiring decisions.
- You are highly data-driven.
- You are agile, organized, and comfortable juggling multiple priorities without losing quality or momentum.
- You are energized by high-bar environments and know how to operate well with senior, discerning engineering teams.
Nice to have
- Experience recruiting technical talent across software, hardware, or data domains in a fast-paced, high-growth, or mission-driven environment.
- The San Francisco office has a dog-friendly workplace program.
- The company is headquartered in San Francisco with additional offices in Montreal and Bangalore.
- Learn more at hingehealth.com http://hingehealth.com.
- We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
- We provide reasonable accommodations for candidates with disabilities.
- Beware of Phishing Attempts: We've noticed an increase in phishing where fraudsters impersonate employees and send fake job offers to steal sensitive information.
- We'll never ask for financial details during the hiring process and only use "@hingehealth.com http://hingehealth.com" emails.
Compensation
- Lead thoughtful calibration conversations when hiring teams need to reassess expectations around level, compensation, or candidate profile.
Benefits
- Start saving for the future with our traditional or Roth 401k retirement plan options which include a 2% company match.
- Manage your own learning and development.
- Grow with us through discounted company stock through our ESPP with easy payroll deductions.
- Hinge Health is an
- At Hinge Health, we're using technology to scale and automate the delivery of healthcare, starting with musculoskeletal (MSK) conditions, which affect over 1.7 billion people worldwide.
- Our AI-powered, human-centered care model spans MSK, pelvic health, gastrointestinal (GI) and migraine care.
- With over 60 partnerships with health plans, PBMs and other ecosystem partners, Hinge Health is available to over 25 million people across more than 2,900 employers.
Company info
- ABOUT HINGE HEALTH At Hinge Health, we're using technology to scale and automate the delivery of healthcare, starting with musculoskeletal (MSK) conditions, which affect over 1.7 billion people worldwide.
Equal opportunity
- equal opportunity employer and prohibits discrimination and harassment of any kind.
- If you feel you need assistance or an accommodation due to a disability, let us know by reaching out to your recruiter.
This listing is sourced directly from Hinge Health's careers page and normalized into a canonical job model.