Product Operations Manager

Scan.com•New York, NY

1d•Hybrid

About The Position

We’re 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. 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, 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:

Requirements

Experience in product operations, program management, or a related operational role within a technology company, ideally one where you saw both the messy early stages and the transition toward more structured delivery
A genuine talent for written communication, including the patience to produce documentation that other people find clear, complete, and worth returning to. This role produces a lot of writing, and quality matters
Comfort working with product and delivery metrics: you can partner with a data team to define what success looks like, interpret the results honestly, and communicate the story to stakeholders without either overstating or burying the findings
Strong coordination instincts across multiple stakeholders. You are the kind of person who notices when a sign-off is missing, when a launch dependency is drifting, or when a team needs a nudge, and you handle it without needing to be asked
A collaborative disposition. Product operations depends on influence rather than authority, and you are comfortable working across PM, Engineering, Design, Operations, and Clinical stakeholders in a way that builds trust rather than friction
Genuine AI fluency in your operational practice. You use AI tools daily, you have opinions about which ones work well for which tasks, and you have first-hand experience structuring information so that AI agents can consume it reliably. You can speak concretely to specific workflows you have improved with AI, and ideally to evaluation approaches you have used to check output quality. Candidates who treat AI as an occasional aid rather than a core part of how they work will not be competitive for this role.

Nice To Haves

Prior experience in healthcare technology, medical imaging, or an adjacent regulated space is a plus, though strong operational fundamentals in another high-velocity domain are equally valued

Responsibilities

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