Engineering Manager

Academic Key

France

Remoto

EUR 90.000 - 120.000

Tempo integral

Há 4 dias
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Resumo da vaga

FullEnrich in Europe is seeking an Engineering Manager to lead a multidisciplinary team of engineers across backend, frontend, and data. You will own people development, performance management, and delivery, partnering with product leaders to translate priorities into achievable objectives.

You will shape squad structure as the organization scales, drive hiring, onboarding, and process improvements, and collaborate with CTO, VP of Engineering, and peers to raise engineering effectiveness and

Qualificações

  • Experience leading engineering teams and developing talent.
  • Ability to translate business priorities into clear engineering objectives.

Responsabilidades

  • Lead, coach, and develop engineers to high performance.
  • Own the engineering hiring process for squads, from requirements to onboarding.
  • Translate product priorities into realistic roadmaps and measurable outcomes.
  • Improve engineering processes and practices to enhance predictability and quality.
  • Provide technical guidance on architecture and trade-offs across teams.

Conhecimentos

People leadership
Hiring & team growth
Engineering delivery
Cross-functional collaboration
Technical leadership

Ferramentas

Go
Svelte
PostgreSQL
OpenSearch
Docker
GitHub Actions
Grafana

Descrição da vaga

Engineering Manager

FullEnrich: Every go-to-market motion runs on data, but no single provider has ever had complete coverage. We solve that problem: instead of relying on a single data source, we orchestrate 20+ premium providers around the world, automatically querying them and verifying data in real-time until we find the best available contact information. The result is industry-leading coverage and data quality, helping sales and GTM teams connect with the right people faster. What started as a better way to find emails and phone numbers has grown into a broader vision: becoming the trusted GTM data infrastructure layer powering modern revenue teams and AI agents. Today, more than 6,000 customers, including companies like AWS, Deel, HubSpot, Clay, Intercom, Unify, and Artisan, trust us to power their prospecting and enrichment. Founded in Paris and now headquartered in San Francisco, we're a team of 50+ people across the US, Europe, LATAM, and Israel, growing quickly and building with speed, ownership, and ambition.

Engineering Manager Location: Remote - Europe (CET ±2 hours). The Role: You'll be joining as an Engineering Manager, reporting directly to our VP of Engineering. As FullEnrich continues to grow, we're investing in the engineering leadership and structure needed to support our next stage of growth. We're looking for someone who combines strong people leadership with technical depth, and who enjoys building high-performing teams, improving how engineers work, and creating the foundations for sustainable growth. You'll initially lead a multidisciplinary team of up to ten engineers across backend, frontend, and data, taking ownership of their development, performance, and delivery. Working closely with Product Managers and engineering leadership, you'll help translate business priorities into achievable engineering objectives, ensuring teams have the clarity, support, and processes they need to deliver great work. This is an opportunity to have a real impact on how our engineering organization evolves. As we scale toward 25 engineers, you'll help shape our squad structure, establish effective ways of working, and build an environment where engineers can grow and do their best work. You'll work closely with the VP of Engineering, CTO, and other Engineering Managers, with the autonomy to influence decisions and drive meaningful improvements across the organization.

What You'll Do:
People Leadership & Development

Lead, coach, and develop engineers through regular 1:1s, performance management, feedback, and career development. Build a supportive, high-performing team environment where engineers have clear expectations, opportunities to grow, and the autonomy to do their best work. Take ownership of team health, engagement, and retention, proactively identifying and addressing challenges.

Hiring & Team Growth

Own the engineering side of hiring for your squads, including defining requirements, setting assessment criteria, interviewing, and making hiring decisions. Develop effective onboarding processes that help new engineers become productive and autonomous quickly. Partner with engineering leadership to shape team structure, squad ownership, and hiring priorities as the organization scales.

Engineering Delivery & Execution

Partner with Product Managers to translate product and business priorities into clear engineering objectives, realistic roadmaps, and measurable outcomes. Own engineering delivery across your squads, ensuring work is appropriately scoped, estimated, and delivered with clear accountability. Identify and manage delivery risks, technical dependencies, and competing priorities, keeping stakeholders informed and addressing blockers early.

Engineering Processes & Continuous Improvement

Own and continuously improve how your squads operate, using our Discovery Run lifecycle, inspired by Shape Up, and DORA metrics to measure delivery effectiveness. Establish practical, scalable ways of working that improve predictability, collaboration, and engineering quality without introducing unnecessary bureaucracy. Collaborate with other Engineering Managers and the VP of Engineering to evaluate and improve engineering processes across the wider organization.

Technical Leadership & Cross-Functional Collaboration

Provide technical guidance on architectural decisions, engineering trade-offs, and complex delivery challenges, ensuring teams make well-informed decisions. Work closely with Product, Design, Support, Sales, and leadership to align engineering priorities with business needs. Communicate progress, risks, and trade-offs clearly, creating transparency and trust across teams and stakeholders.

Our Tech Stack

Our backend is built in Go (Golang), with Svelte on the frontend, PostgreSQL and OpenSearch for data, and DigitalOcean for cloud infrastructure. We use Docker, GitHub Actions, and Grafana to support deployment, automation, and observability, with a modular hexagonal monolith architecture.

Fullenrich · France

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