Independent product consulting
I take AI products from pilot to production.
Senior product leader. Fifteen years building data and ML platforms at scale. Now helping B2B SaaS teams close the gap where 69% of AI projects fail.
What I do
Where I add value.
Audit
I diagnose why your AI initiative is stuck. Usually it is not the model. It is the data pipeline, the evaluation framework, the integration scope, or the team alignment. I find the actual blockers and tell you which ones matter most.
Strategy
I define the data model, the quality framework, and the production readiness criteria your team needs but does not have. Precision and recall thresholds. Evaluation datasets. A roadmap that does not collapse under contact with production.
Execution
I work embedded with your engineering and data science teams to get the first AI feature into production within three to six months. Building internal capability so your team can repeat it without me.
How this works
How we work together.
- Step 1
Discovery call
Thirty minutes. We map your AI initiative, your team, and the specific bottleneck. If we are not a fit, I tell you who is. If we are, we move to a paid scoping engagement.
- Step 2
Scoped engagement
Three to six months, embedded with your team. Defined deliverables, defined outcomes, defined exit criteria. I do not build dependencies. I build capability.
- Step 3
Handoff
Your team owns the production system. I am available for advisory check-ins as needed. The goal is that you do not need me at month seven.
Selected work
Where I have done this work.
At Zalando, I spent six years building the pricing platform that runs across 17 European markets and tens of millions of SKUs. The system evolved from governance tooling into a goal-based AI optimization engine used daily by 20 to 40 commercial stakeholders. Forecast accuracy 98% at two weeks, 85% at two months.
At Booking.com, I joined the first data science PM team. I shipped voice search in four months with measurable booking uplift, led search personalization at scale serving 80% of traffic from a cached ML layer, and published two research papers at WWW 2022 and SIGIR 2020.
About
I am Reuven, an independent product leader based between Berlin and Tel Aviv. Working remotely with B2B teams across DACH, Israel, and beyond.
Fifteen years across Zalando (six years building the pricing platform), Booking.com (search personalization and voice search, first data science PM team), and Israeli Startups (yield optimization engine zero to production in six months). Imperial College computer science. Two published ML research papers.
I write at dochsonntag.substack.com about product management at the intersection of data, AI, and B2B SaaS.