Product Management Lead - Centro Servizi | Ref. 86Ca51Urq

17 set - Milano
Medicilio

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.
We care about:
shipping meaningful products that work in clinical environments,
building systems that remain trustworthy over time,
Travel required for client and hospital visits across Italy.
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 Q****** 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.
Own the domain
Define and maintain the CS domain roadmap — priorities, trade-offs, and sequencing decisions
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
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.
Own feature testing for your domain — you verify what ships meets the original intent
Maintain documentation as a living system — use AI to generate, your judgment to validate
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
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.
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
aligning with the CPO on roadmap priorities and cross-domain coherence
continuous improvement of how we build
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
~ 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
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
Italian language skills
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:
system-level thinking over feature-level thinking
the ability to define what "good" looks like — and hold it
50,000–€75,000 depending on experience.
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.
Travel required for client, hospital, and team visits across Italy.
Trust — We communicate directly, keep our word, and operate with high autonomy.
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.
Joy — We build serious systems without losing enjoyment in the process.
Make sure to use the job reference 86ca51urq when applying

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