Head of Engineering managing integrations and data platform for AI-driven fintech healthcare startup. Leading high-velocity engineering teams and shaping long-term strategies while reporting to the CTO.
Responsibilities
Own and scale the engineering teams for Integrations, Data Platform, and Infrastructure - the mission critical data platform at the core of our business and the user workflows.
Partner closely with product and business stakeholders to define business and technical strategy, drive clear priorities and technical decisions that create measurable business outcomes.
Develop a technical strategy for the domain that empowers teams to self-serve, while framing technical decisions through business outcomes such as revenue impact, time saved, and risk reduction.
Own the integrations strategy and delivery (build vs. deepen vs. partner), improving ICP PMS coverage, read/write depth, and SLO-backed reliability while reducing activation time.
Operate at every altitude, step in hands-on when needed to unblock teams or clarify complex technical decisions.
Build, grow, and drive cultural change for high velocity engineering teams while raising the performance bar.
Manage and mentor multiple Engineering Managers and their teams by providing structure, direction, and coaching at scale.
Represent the domain together with your product counterpart and drive cross-functional alignment within the organization.
Attract senior talent and hire across profiles (backend, data, infra/SRE, AI tools, EM).
Report directly to the CTO and play a major role in shaping Nelly’s long-term engineering strategy.
Requirements
10+ years of experience in engineering, including 5+ years in leadership roles with at least 1 year managing managers or 2+ years managing managers.
A proven track record of building and leading high-velocity, cross-functional engineering teams in fast-paced or high-growth environments.
Built complex data systems that integrate with multiple external data sources (read & write) (e.g. practice management systems) to leverage that for scaled AI and end user facing applications.
Strong track record building integration-heavy platforms: bidirectional connectors (read/write), canonical models, data contracts, and SLO-driven operations—including hybrid cloud/on-prem constraints and high reliability requirements.
Experience shipping and operating multiple third-party integrations at scale, including quality/testing strategies (read-after-write, reconciliation, regression suites) and operational tooling.
Curious, ambitious and experimental mindset: you challenge existing assumptions and bring new perspectives on data, AI-driven architectures, and modern engineering practices. Innovation and insights first, while keeping in mind the complexity of the domain. Familiarity with cloud architecture (AWS preferred) and modern engineering toolchains.
Excellent communication skills, able to explain complex technical systems simply to non-technical stakeholders, able to voice opinions, disagree and commit.
Bonus: Experience working in regulated industries, especially healthcare or medical software.
Benefits
BVG ticket or a Swapfiets membership to cruise through the city
Urban Sports membership to sweat, stretch, or sauna your way through the week
Top of the line working equipment
Flexible hours and a hybrid setup in the heart of Berlin
Enjoy up to 4 weeks of workation wherever inspiration hits
A cozy, dog-friendly office where good vibes are basically mandatory
A fridge full of cold drinks and snacks waiting to be claimed
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