Product strategy/advisory for B2B SaaS, startups, and enterprise clients

AI-powered predictive maintenance for enterprise storage (B2B SaaS, hybrid cloud) • Defined product vision and roadmap for AI-driven predictive maintenance with conversational interface, targeting P1 occurrence -30% and MTBF +20%. • Executed customer discovery protocols and synthesized user insights to inform MVP scope. • Launched design partners program to engage enterprise users and drive early adoption pipeline. • Built GTM blueprint covering pricing, positioning, and messaging (Product Marketing) for enablement and commercial launch readiness. • On track for Private Beta in Q3 2025 with target adoption of 10 enterprise logos

AI-powered analytics and insights for Amazon/e-commerce sellers (PLG SaaS). • Defined and launched "Insights", DataHawk's first AI product, adopted as a conversion lever, driving positive feedback in 3 months. • Streamlined R&D, reducing meeting time by 50% and increasing team productivity. • Improved customer satisfaction (CSAT +10), reduced bugs/support -20%. • Led remote distributed team (4 PMs, 1 Senior Product Designer); implemented OKRs aligning 90% team goals to company objectives.

B2B ML platform for model lifecycle management (Enterprise SaaS) • Delivered UX/UI overhaul in 4 months, boosting NPS for navigation by 10. • Founded Lab team; drove funding for French R&D initiatives; improved software libraries for core product. • Led an internationally distributed team and grew it from 2 to 4 people.

Enterprise data management & integration (ARR $80–100M, global team) • Grew global team from <20 to 30+, increasing productivity by 25%. • Co-led product strategy, scaling ARR from $80M to $100M (+25% in 18 months). • Reduced delivery timelines by 10% via process optimization. • Implemented company-wide OKRs, aligning product activities with business outcomes.

Automotive multi-brand data solutions • Built and led creation of centralized data platform, reducing silos and improving reporting. • Led predictive analytics projects with measurable P&L impact.

Computational Neuroscience research • Delivered 8 peer-reviewed publications, produced research algorithms and software. • Thesis: Dynamic interplay between standard and non-standard retinal pathways in the early thalamocortical visual system. • Contributed code/methods for probabilistic modeling and time-series analysis.

Industrial automation and control • Developed ML-based algorithms and published findings.