Senior Engineering Manager

Tomorro

Tomorro is an AI platform for Contract Lifecycle Management that reinvents how legal, finance, and business teams collaborate on contracts.

With ORO, our AI assistant, we eliminate contract friction: automation, seamless workflows, accelerated and secure negotiations. Result: teams that go up to 4x faster, with more control and impact.

Today, Tomorro supports thousands of users and hundreds of companies, from hypergrowth startups to large groups like Nestlé, Vinci, or JCDecaux.

After raising 40M€, we are accelerating strongly and establishing ourselves as a key player in Legaltech in Europe.

In 2025, we launch our European expansion with Germany as the first market.

Our ambition: to become the European leader in CLM by 2030.

At Tomorro, everyone is an AI builder. CX, Ops, Sales, Product, HR, Tech: each team builds, prompts, automates, and codes. AI is not a separate project; it’s our daily way of working.

ThursdAI: every Thursday afternoon, we stop to build cross-team: new agentic workflows, internal automations, exploration of tools, and side projects that directly impact our daily life and performance.

You join Tomorro to lead two squads (≈ 8 people: software engineers + designers), reporting directly to the CTO.

But beware: this is not an EM "project manager" or "ticket pusher" role. We are shifting to an AI-native model and end-to-end Impact Teams (ship + run). You are the owner of an execution system - people, quality, metrics, transformation - thought as an impact multiplier.

You are also a Tech Leader Manager: you know how to judge the craft, challenge the structuring decisions (architecture, perf, safe-by-design), and elevate the bar.

• Install the execution engine: frameworks, lean rituals, guardrails. Intervene when it gets stuck systemically - not on every sprint.

• Talent density: recruit top profiles, coach, grow, elevate the bar. A-players join a company to be managed by someone capable of judging their craft.

• Pilot by metrics: install a delivery cockpit (velocity, quality, run) and transform it into improvement mechanisms.

• Ensure engineering standards: quality bar, craft, ownership, run, via concrete mechanisms (reviews, postmortems, checklists).

• AI Fin Ops: token tracing, cost per outcome, quality vs. cost trade-offs.

• Coordination & flow: cross-squad fluidity (priorities, dependencies, trade-offs) while preserving team autonomy.

• Stakeholder management: alignment Product / Design / Platform / AI / Security, velocity vs. risk vs. cost trade-offs.

After 6 months

• Measurable improvement on 1 to 2 key metrics (velocity, quality, run tax, etc).

• Adoption of 1 to 2 major rails that reduce friction sustainably.

• Team strengthened by targeted hiring, visible progress of several ICs.

• 1 initiative delivered with strong product or operational impact.

After 12 months

• Stable and scalable execution system: predictable, high quality, well-managed incidents.

• Embedded AI-native transformation: daily agentic automations, risk governance (security/compliance) and AI Fin Ops in place.

• You are an internal reference on what it means to "do engineering management in an AI-native company".

Even if the perfect profile doesn’t exist, here’s what it would look like:

• Proven experience in direct management of engineers - coaching, performance, hiring, bar raising. You have already led a scope with significant impact.

• Background in startup or scale-up SaaS, ideally B2B.

• Mastery of metric-driven management and ability to diagnose team performance, propose an action plan, and adopt standards.

• Sufficient technical background to challenge decisions.

• Excellent stakeholder management (PM, Design, CPO, tech committee) and ability to ensure cross-squad fluidity.

• Capacity to lead a transformation (standards, culture, tooling) with measured adoption.

Bonus appreciated: experience in AI-native organization or strong automation, structuring less mature managerial teams, Safe by design (SOC2, GDPR) and Fin Ops.