Tennr
Senior People Operations Associate
New York City Office · Senior
Sponsorship not specifiedDetected 28 days ago
Employee RelationsHRISLeadershipCommunicationCollaboration
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odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
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from this employer's Department of Labor filings
Files H-1B transfers
1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
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About the role
- COMPANY DESCRIPTION Today, when you go to your doctor and get referred to a specialist (e.g., for sleep apnea), your doctor sends out a referral and tells you, "They'll be in touch soon." So you wait.
- Because too often specialists and medical services are overwhelmed with referrals and the painstakingly manual process it takes to qualify your referral prevents them from getting around to it on time, or sometimes at all.
- Tennr prevents these delays and denials by making sure every referral gets where it needs to go, with the right info, at the right time.
Responsibilities
- Own employee lifecycle operations including onboarding, offboarding, role changes, and internal mobility.
- Drive people processes forward by documenting, refining, and improving workflows as the company grows.
- Partner with leaders to support performance cycles, feedback processes, and employee development initiatives. Represent People Ops as a trusted, approachable partner across the organization.
- Support employee relations with discretion, fairness, and strong judgment.
Requirements
- 4+ years of experience in People Operations, HRBP, or a similar role, ideally at a fast-paced, high-growth organization
- Proven ability to run core people processes independently with high attention to detail and a hunger for automation
- Strong understanding of benefits administration, HR systems, and employment compliance.
- Exceptional communication skills
- Comfort operating in ambiguity and building structure where none exists.
- A people-first approach balanced with strong business judgment.
- Excitement about being in-office and contributing to a strong, collaborative culture.
- WHY TENNR?
- 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.
- Build Relationships: collaborate and connect with like-minded, driven individuals in our Hudson Square office 4 days/week
Nice to have
- Plus a pantry full of snacks.
Compensation
- Support compensation and equity administration in close collaboration with leadership and finance.
Benefits
- 100% paid employee health benefit options
- Competitive parental leave
- Manage HR systems and data (e.g., HRIS, benefits platforms), ensuring accuracy, compliance, and scalability.
- Support compensation and equity administration in close collaboration with leadership and finance.
- Maintain benefits programs (healthcare, 401k matching, PTO) and act as a knowledgeable, trusted resource for employees.
Company info
- Today, when you go to your doctor and get referred to a specialist (e.g., for sleep apnea), your doctor sends out a referral and tells you, "They'll be in touch soon." So you wait.
- Sometimes days, weeks, or even months.
- Powered by RaeLM™ Tennr reads, extracts, and acts on every piece of patient information so providers can capture more referrals, slash denials, and reduce delays.
This listing is sourced directly from Tennr's careers page and normalized into a canonical job model.