Similar Jobs
Oddin.gg is the global leader in esports data science and the fastest-growing tech company in Central Europe (Deloitte Technology Fast 50 Winner, 2024 & 2025). We deliver a comprehensive B2B esports betting ecosystem — including an odds feed, robust risk management, a powerful iFrame solution, and 24/7 live content — empowering industry partners like ESPNbet, Betano, Stake, Betway, OpenBet, and Softswiss. With a team of 250+ people across the Czech Republic, Europe, and Asia, we're building the future of esports betting.
About the Role
We're looking for a Senior Product Manager to lead product for our eSimulators (eSims) team — a group of mathematicians who build and maintain the models behind Oddin's studio-based 24/7 betting content. eSims features real players competing head-to-head in titles like eFootball, eBasketball, eCricket, eTouchdown, and CS2/Dota 2 Duels, generating 250,000+ matchups annually with 800+ markets available at any time.
The mathematical challenges are significant: pricing models, market correlation, BetBuilder combinatorics, player-pair balancing, and margin optimization all require deep quantitative reasoning. You don't need to be a mathematician — but you need to earn the respect of one. Mathematical and quantitative thinking is a hard requirement for this role, not a nice-to-have. The ideal candidate has a credible mathematical or quantitative background, a sharp product instinct for B2B products, and the strategic depth to connect model quality to commercial outcomes.
What You Will Do
- Define and drive the product strategy and roadmap for the eSims product area, directly tied to company OKRs and revenue goals
- Partner daily with a team of mathematicians to translate complex model improvements into prioritized, scoped product initiatives with clear success criteria
- Diagnose model performance issues (margin variance, player-pair imbalances, market correlation gaps) and frame them as product problems with measurable outcomes
- Make high-stakes prioritization decisions — balancing model quality improvements, new title expansion, operator requests, and team capacity
- Navigate the deepen vs. expand tension: when to fix existing titles vs. when to launch new ones, and how to align commercial, trading, and math team stakeholders around that call
- Mentor junior PMs and elevate the broader product team's standards — coaching on prioritization, stakeholder alignment, and quantitative reasoning
- Actively use AI tools (e.g. Claude, Gemini, Codex) in strategy work, discovery, and collaboration with the math team — we are an AI-first company and expect a senior-level point of view on where AI helps and where it doesn't
Who You Are
- 5+ years of product management experience, with at least 2 years in a senior or lead PM role
- Credible mathematical or quantitative background — academic, professional, or both; you can reason about probability, correlation, margin variance, and model trade-offs without being intimidated
- Strong mathematical thinker — you approach problems with quantitative rigor, can interrogate model assumptions, set measurable acceptance criteria for model improvements, and translate statistical concepts into product decisions
- Proven track record working alongside highly technical or quantitative specialists (data scientists, mathematicians, quants)
- Strong strategic thinker: you connect business objectives to product initiatives and can articulate a compelling vision for a product area you own
- Deep experience in B2B product management — you understand that your customer is an operator, and you think carefully about the interplay between operator needs and end-bettor experience
- Sophisticated AI user: not just productivity shortcuts, but embedded AI usage in strategy, discovery, and technical collaboration — and a clear view on where AI isn't yet reliable
- Excellent stakeholder management: comfortable presenting to C-level leadership, aligning mathematicians and commercial teams
Nice to Have
- Knowledge of the esports ecosystem, competitive gaming, and/or online betting industry
- Experience with real-time data products, odds feeds, pricing models, or risk management platforms
- Background in platform or B2B product management where the product is largely invisible to the end user
- Experience scaling products in a hyper-growth startup environment
- Familiarity with SQL, Python, or BI tools for hands-on data exploration
- Experience building or mentoring product teams from the ground up
