Engineering Manager

Posted 4 Days Ago
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Paris, Île-de-France, FRA
In-Office
Senior level
Artificial Intelligence • Healthtech • Software • Automation
The Role
Manage engineers while serving as hands-on Stream Owner for a technical product area. Responsibilities include setting technical direction, delivering software with a PM, conducting 1:1s, managing performance and growth, maintaining engineering standards, onboarding hires, and collaborating with operations and other technical leaders. The role is approximately 50% hands-on engineering and 50% people management, with opportunities to shape the broader technology organization.
Summary Generated by Built In

At Parallel, we build AI agents that help healthcare organizations automate their administrative processes and unlock additional revenue, starting with medical coding.

Today, up to 25% of healthcare spending is lost to manual, repetitive administrative tasks. Legacy software hasn't helped: it has made work slower, more complex and more frustrating for care teams.

We believe AI agents can change this. Our technology combines large language models with system-level automation to do real work inside existing hospital tools. No integration, no disruption.

Our first agent automates coding and frees up time for medical teams to focus on patients.

We launched in 2024 and already have 800+ customers and a team of 30+ people. We are backed by top-tier investors (Index Ventures, Y Combinator, Hexa, Frst, Kima Ventures, Better Angle and the CEO of Mistral AI), and this is just the beginning.

The future of healthcare isn't just digital, it's automated. Come help us build it!

Context

Parallel closed a $20M Series A with Index Ventures, is deployed in 40+ hospitals, and is scaling fast. Founders Paul Lafforgue (Polytechnique, ex-Meta, ex-McKinsey) and Chris Rydahl (who previously built Hublo, Europe's largest healthcare staffing platform) are based in Paris with the team.

Our tech team is 10 people today, all reporting directly to the CTO — and it will double by 2027. A flat structure got us here, now we need managers who stay close to the code to get us there.

The team is organized in streams, each run by a PM and a Stream Owner: Coding, Extraction, and Activity (activity steering, dashboarding, and our assistant products).

Your mission
  • Directly manage the engineers of your stream (AI Engineers, Software Engineers, Forward Deployed Engineers): 1:1s, feedback, growth, performance.

  • Own a stream end to end as its Stream Owner: drive its technical direction and delivery with your PM.

  • Be a hands-on leader. Expect roughly 50% hands-on / 50% management — a bit more hands-on in your first months.

  • Be responsible for your squad's tech culture: code quality, rituals, standards, knowledge sharing.

  • Onboard new engineers and be the relay when the team changes hands.

  • Work daily with PMs, Ops and the other Stream Owners to keep priorities aligned.

Outcomes
  • In your first months, you are a trusted Stream Owner: you know your stream's code, clients and roadmap inside out.

  • Your team ships reliably and at pace, and every engineer knows what's expected of them and how they're growing.

  • New hires are productive fast, thanks to the onboarding and culture you put in place.

  • Over time, your role grows beyond one stream: you help shape how the whole tech org scales.

This job is for you if
  • You have 5+ years of experience, including at least 2 years managing an engineering team.

  • You've managed 4–5+ people and owned both their performance and the people side (feedback, growth, tough conversations).

  • Your background is strong full-stack software engineering or data — and you still love building.

  • You've worked in startups or scale-ups and thrive in a fast, high-ownership environment.

  • You see management as a way to have more impact, not as a title: you're happy to own a stream and write code.

  • You are autonomous and pragmatic: done beats perfect at this stage.

  • You are French-speaking.

Hiring process
  1. A quick call with our recruiter (30 min)

  2. A conversation with Chris, our CTO (30 min)

  3. A case study at our Paris office, covering both management and technical judgment. combined with a meeting with Paul, our CEO. (2h in total + preperation)

  4. Reference checks

Why should you join us?
  • Real traction: Seed and Series A closed in under a year, with Index Ventures on the cap table.

  • A problem worth solving: cutting hospital admin gives time back to care teams.

  • A different technical approach: agents that work on existing systems without heavy integration.

  • A team that has done it before: the founders built and scaled Hublo, and worked at Meta and McKinsey. High standards, low ego.

  • Real ownership: you'll be our first Engineering Manager and shape how the tech team scales from 10 to 20+.

  • Competitive salary and equity, premium health insurance (Alan), Swile meal vouchers, latest Apple equipment, and an office in Paris (Strasbourg Saint-Denis).

 
 
 

We care about who you are, not just what's on your CV.
If you're drawn to what we're building but don't meet every requirement, we still want to hear from you. Studies show that women in particular tend to apply only when they meet 100% of the criteria. If that's you, please don't let that hold you back. We'd love to receive your application.

Skills Required

  • 5+ years of professional experience
  • At least 2 years managing an engineering team
  • Experience managing 4-5 or more people, including performance management, feedback, growth, and difficult conversations
  • Strong full-stack software engineering or data background
  • Experience working in startups or scale-ups
  • Willingness to remain hands-on and write code
  • Autonomous and pragmatic working style
  • French-speaking
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The Company
6 Employees
Year Founded: 2020

What We Do

Parallel builds AI agents that streamline healthcare administrative workflows, focusing on medical coding to optimize hospital revenue and efficiency. Their software integrates Large Language Models and computer-use agents into existing hospital systems to automate repetitive tasks and reduce administrative burdens, enabling healthcare teams to prioritize patient care.

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