Engagement Manager: Lead AI Workflow Deployments & ROI

Nodi; Paris; Hybride; EUR 90 000 - 150 000; Plein temps

Avantages offerts par ce poste

Competitive salary + equity

Performance-based incentives

Expansion into market

Supportive work environment

Résumé du poste

Model ML is seeking an Engagement Manager to own the end-to-end customer outcome by translating client problems into scalable Model ML workflows, running a clean operating cadence, and driving adoption through governance and clear communication.

You will turn ambiguous client asks into scoped delivery plans, maintain dashboards and Notion-based tracking, and collaborate with Growth, Engineering, and Product to maximise ROI across fast-paced, region-wide engagements.

Qualifications

• 5+ years experience in private equity, investment banking, or tier 1 consultancies.
• Ability to turn ambiguous client asks into scoped delivery plans and measurable outcomes.
• Strong technical fluency: can reason about workflows, data, and failure modes (you do not need to be an engineer).
• Excellent operational hygiene: reliable tracking, documentation, and governance.
• Clear, proactive communicator who escalates early and closes loops.
• Comfortable operating autonomously in a fast-changing environment.
• Willingness to travel within the region as needed.

Responsabilités

• Turn client problems into scalable, measurable workflows.
• Balance client needs with platform constraints.
• Build reusable playbooks, templates, and demo assets.
• Maintain clean tracking across dashboards, hubs, and Notion pages.
• Keep usage, adoption, and health metrics accurate and up to date.
• Run a clear delivery plan (owners, dates, dependencies) and surface risks early.
• Communicate trade-offs and blockers early to both client and internal teams.
• Own trial - conversion - renewal motion in partnership with Growth; drive ROI.

Connaissances

Client delivery planning

Technical fluency

Operational hygiene

Communication

Autonomy

Travel readiness

Description du poste

Model ML is seeking an Engagement Manager to own the end-to-end customer outcome by translating client problems into scalable Model ML workflows, running a clean operating cadence, and driving adoption through governance and clear communication.

You will turn ambiguous client asks into scoped delivery plans, maintain dashboards and Notion-based tracking, and collaborate with Growth, Engineering, and Product to maximise ROI across fast-paced, region-wide engagements.