Product Operations Manager
Scan Com
| Company | Scan Com |
| Category | Operations & Admin |
| Location | New York City |
| Remote | Hybrid |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 14 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
We’re Scan.com http://Scan.com, the digital health scale-up making diagnostics accessible, fast, and transparent. Our technology speeds up diagnoses for timely treatments, improving healthcare outcomes for hundreds of patients each day.
We're doing diagnostics differently, with solutions tailored to both patients and providers, all backed by our technology and world-class customer operations team. Our B2C marketplace simplifies booking a scan, making it as straightforward for patients as booking a hotel. Our B2B platforms provide live scheduling at the point of care and harness AI to ease workflows for physicians, attorneys, and providers.
WHAT YOU WILL BE GETTING INVOLVED IN
Product operations sits between strategy and execution. It is the function that turns a product team's intent into repeatable delivery, and turns delivery into learning. At Scan.com http://Scan.com, that work spans the full product surface, from acquisition and integrations to fulfillment and post-scan experiences, and it touches almost every function in the company.
As Product Operations Manager, you will partner closely with our product management team to build the rituals, documentation, and reporting infrastructure that make our product org run well. Your success will not be measured by how much you personally ship, but by how much better the teams around you ship because of the systems you put in place.
This role will suit someone who takes real pride in the craft of operations: someone who finds a well-written playbook satisfying, who can hold the details of five workstreams at once without dropping context, and who is already using AI as a core part of their own operational practice.
As a scale-up business, you can expect your role to develop over time. Here are some of the types of things you could be getting involved in:
- Design and coordinate rollout plans for new product features, working with PMs, Engineering, Design, and Operations to sequence launches, manage dependencies, and ensure the right teams are prepared to support what ships
- Create and maintain product documentation that supports both internal training and external communication, including feature briefs for internal enablement, release notes for partners and providers, and reference materials that keep stakeholders informed as the product evolves
- Partner with the data team to monitor post-release analytics, helping the product team understand whether launches are landing as intended and surfacing signals that suggest a feature needs iteration, promotion, or reconsideration
- Coordinate cross-functional sign-off for feature launches, ensuring the appropriate leaders across Engineering, Operations, Legal, and Clinical have reviewed and approved before release, with clear documentation of decisions and open items
- Build and maintain a product knowledge base that is structured for AI agent consumption from day one, including designing information architecture that supports reliable retrieval, writing content that survives being chunked and re-assembled, and iterating on quality based on how well downstream agents perform against it
- Support the product team on OKR planning and monitoring: helping to translate strategy into measurable objectives, tracking progress against them, flagging when priorities may need to shift, and reporting product impact to the wider organization in a way that builds shared understanding
THE TOP 5 THINGS WE WANT TO SEE IN YOUR FIRST YEAR
- A more predictable release rhythm. By the end of your first quarter, we would expect the product team to have a clearer, more repeatable cadence around how features are rolled out. Sign-offs happen at the right stage, the right people are informed, and launches feel less improvised.
- A knowledge base that powers AI workflows. The documentation you produce is trusted by both humans and agents. Teams reference it before asking questions, and it is already serving as the knowledge ba
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