16 set - Milano
Altro
At Medicilio, we're building the bridge from remote patient monitoring to remote patient intelligence — software that doesn't just track healthcare operations, but actively improves clinical decisions and patient outcomes at scale.
We are a Milan-based company with teams across Italy, building products for Italy's NHS reform (DM77) today and expanding across Europe tomorrow.
You'll work closely with engineering, design, clinical stakeholders, and operations to solve complex real-world problems in a high-trust environment where ownership matters more than process.
shipping meaningful products that work in clinical environments,
building systems that remain trustworthy over time,
learning fast and adapting continuously,
and enjoying the process of building together.
Milan-based. Travel required for client and hospital visits across Italy.
About the role This is the Product Lead role for our Centro Servizi domain — our care coordination and operational workflow platform. This role reports directly to the CPO and is a Critical Q3 2026 hire that unblocks the CS domain structure.
Centro Servizi is Medicilio's operational layer: the platform CS operators use to manage caseloads, resolve alerts, onboard patients, and coordinate care. It is being built for multi-CS architecture at regional scale — integrating with external telephony and workforce management systems, and eventually serving as the operational brain for distributed care networks.
You will own the CS product domain end-to-end — roadmap, discovery, specification, quality, and stakeholder alignment. You partner directly with the CS Engineering Lead and Design, and engage daily with clinical operations teams (CS, nursing, care coordination).
This role starts in CS. As the product matures and the team grows, the Product Lead scope expands.
What you'll do Own the domain Define and maintain the CS domain roadmap — priorities, trade-offs, and sequencing decisions
Be the single point of accountability for what ships and why it matters
Translate business strategy and clinical requirements into product decisions
Resolve conflicts between domain needs and platform-wide coherence
Partner with the Engineering Lead on technical trade-offs and delivery planning
Run discovery and specification with AI in the loop Use agentic workflows to run user research synthesis, competitive benchmarking, and requirements structuring — faster and more rigorously than manually
Produce specs that are clear enough for both human engineers and AI-assisted build pipelines to act on without ambiguity
Generate and review AI-generated outputs (specs, designs, prototypes) with the critical eye of someone who knows the domain deeply — you define intent, AI generates the first cut, you validate and own it
Design for probabilistic systems: know how to define success criteria when the output isn't binary
Set evaluation frameworks for AI-assisted features: offline metrics, edge-case coverage, and feedback loop design
Example: CS had a queue management tool used inconsistently across operators. Ran a structured AI-assisted synthesis of CS team feedback, identified three root cause patterns, and produced a spec that resolved all three in a single UX redesign — delivered to engineering in 48 hours with no ambiguity.
Be the quality gate, not the bottleneck Own feature testing for your domain — you verify what ships meets the original intent
Coordinate with the QA Coordinator on regression risk and release readiness
Maintain documentation as a living system — use AI to generate, your judgment to validate
Navigate a regulated, clinically sensitive context Understand the MDR boundary — know which features touch regulated territory and which don't, and act accordingly
Work closely with compliance and cybersecurity functions before design freeze on any sensitive feature
Engage with clinical users directly — not just through data
Write product requirements that would survive a regulatory audit, not just a sprint review
Example: A new alert escalation feature touched both clinical workflow and patient data access. Flagged the MDR boundary before the sprint started, aligned with compliance on what required documentation, and shipped with a clear audit trail — without delaying the release.
How we work We operate in small, high-trust teams with strong ownership and minimal process overhead.
A typical week for the CS Product Lead includes:
shaping and scoping upcoming work with Engineering and Design direct engagement with CS operators, clinical coordinators,
and hospital clients generating and reviewing product specs, prototypes, and decision documents running or reviewing QA on features in your domain aligning with the CPO on roadmap priorities and cross-domain coherence
We optimize for
clarity over process theater ownership over handoffs fast iteration with high clinical standards continuous improvement of how we build
What we're looking for Must-haves 4+ years of product management experience with demonstrated domain ownership
AI tool fluency — daily use in a real product context, not theory
Systems thinking — you see the whole, not just the ticket
Strong written communication — specs, decisions, and rationale that hold up under review
Probabilistic reasoning — you can define success when the output isn't binary
Cross-functional collaboration across product, engineering, design, and clinical
Feature testing ownership — you verify what ships
Nice-to-haves Digital health or regulated software background
Experience with care coordination, clinical operations, or CS/CRM platform design
SQL or basic data fluency
Experience with agentic workflow design or AI-assisted product development
Skills that matter most in the AI era As AI handles more of the documentation, synthesis, and generation work, the most valuable product leadership skills become:
judgment over output system-level thinking over feature-level thinking clinical and regulatory domain depth quality ownership across the full lifecycle the ability to define what "good" looks like — and hold it
Compensation Top of band for Product Leads with demonstrated domain ownership, clinical context depth, and AI-assisted workflow fluency.
Equity is part of the package, with allocation and vesting discussed openly at offer stage.
Location Milan-based. Travel required for client, hospital, and team visits across Italy.
Our values Trust — We communicate directly, keep our word, and operate with high autonomy. Trust increases speed by reducing unnecessary process.
Care — We care about the people we work with and the problems we solve. We give honest feedback, support each other, and create space to learn from mistakes.
Curiosity — We stay open, ask questions, and continuously learn from systems, users, and each other.
Expansion — We take on ambitious problems and grow through them. We value progress over perfection.
Joy — We build serious systems without losing enjoyment in the process. Strong morale improves both outcomes and quality of work.
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18 set - Italia
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18 set - Italia
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