Head of Predictions & Optimization

The brands on your kitchen shelf are run by people doing extraordinary work that nobody sees.

We're building the platform they run on, and a brand they'll be proud to be part of.

Confido is the AI operating system that runs cash application, deductions, trade and planning in one place for CPG brands. That means Finance, Sales, and Ops finally work on the same number.

We’re trusted by 250+ brands managing $30B+ in revenue, including Daisy, OLIPOP, Simple Mills, Idahoan, and more. We've achieved best-in-class growth and recently raised a $55M Series B led by Insight Partners to accelerate our momentum.

If you want your work on shelves everywhere — and outsized ownership while you build — we'd love to meet you.

Tell brands what to charge, which promotions to run, and where. Back it with data almost no one else has.

Confido sees what's actually happening in the physical world of CPG: shipments, depletions, inventory, consumption, what's on the shelf, merchandising, deductions, the demographics of who lives near each store, and forward-looking promo plans. That means rich actuals and a real view of the future, across hundreds of brands. Most of this data isn't publicly available anywhere.

As Head of Prediction & Optimization, you'll build and lead Confido's data science function, starting with our newest product area:
Revenue Growth Management (RGM). You'll own the models that turn a detailed picture of the business into decisions brands actually act on, and you'll grow the team to 3+ data scientists.

Location:

New York, NY (Relocation supported)

• Lead pricing and trade optimization for RGM, including price elasticity, promo lift, cannibalization, and halo effects, so you can answer "how much should I charge for this?"

• Build promotion recommendations that get specific. Should a promo run 4 weeks or 8? Should it be a deeper discount, a BOGO, or buy-3-get-1? Which regions, retailers, and accounts should get it?

• Turn predictions into prescriptions by building optimization that works under real constraints like trade budgets, margin targets, and retailer calendars

• Measure what actually worked, using post-event analysis, causal inference, and baselines that brands trust enough to change their plans

• Partner with our AI/ML engineers to take models to production, and set the bar for backtesting, evaluation, and monitoring

• Build the team: hire and mentor data scientists, and set the roadmap and technical direction alongside our CTO and AI research lead

Required

• 7+ years of applied data science or predictive modeling, including experience leading projects or people

• Deep expertise in statistical modeling and ML for pricing, demand, or forecasting, such as elasticity, causal inference, or uplift modeling

• Experience building optimization or decision-support models, beyond predictions alone

• Strong Python and SQL, plus rigor about validation: you know how to avoid leakage and when to distrust a good-looking result

• The ability to turn a model into a clear recommendation a non-technical business user will act on

Nice to have

• RGM, trade promotion, pricing, or revenue management experience in CPG, retail, or marketplaces

• Experience with syndicated or retailer data (Nielsen, SPINS, Circana, retailer POS)

• Taking models to production yourself. We're indexed on modeling, but end-to-end is a plus

• Operations research or mathematical optimization (MIP, solvers)

• Startup or 0-to-1 team-building experience

• Equity — own a meaningful piece of the company you’re helping build

• Fully paid health coverage through Aetna — we cover 100% of employee premiums

• Top-tier dental and vision coverage through Guardian

• Carrot Fertility Pro — comprehensive fertility and family-forming support

• 12 weeks of…