Staff Product Manager – AI, ML

Sky Betting & Gaming

. Own product strategy for customer-facing ML applications in the flagship product .

Posted 10/23/2026full-timeRemote • New York • United StatesLead💰 $161,500 - $212,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product strategy for customer-facing ML applications, focusing on model performance evaluation and experimentation. Capable of bridging technical and non-technical stakeholders while balancing model quality with business objectives.

Highest-signal resume keywords

Senior Product Management ExperienceQuantitative Background in StatisticsML-Specific Product Decision MakingConsumer-Facing Product ExperienceStrong Communication Skills

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Product StrategyExperimentationData-Driven Consumer ProductsModel Performance EvaluationProbabilistic Systems MeasurementLLM Evaluation Frameworks

Soft Skills

Strong CommunicationPatience for TeachingFlexible MindsetPragmatic Decision Making

Industry Keywords

Customer Acquisition CostCross-Sell RatesEngagement ObjectivesNon-Deterministic Product SolutionsML EngineersData ScientistsCommercial TeamsCRM Teams

About the role

Key responsibilities & impact

Own product strategy for customer-facing ML applications in the flagship product
Tie product strategy to customer acquisition cost, cross-sell rates, and engagement objectives
Design non-deterministic product solutions where models play a central role
Define measurement and evaluation of model performance, including probabilistic outputs
Run experimentation and testing to guide shipping decisions
Partner with ML engineers, data scientists, commercial teams, and CRM teams
Translate between technical and non-technical stakeholders and educate partners without ML or quantitative backgrounds
Balance model quality against business needs and make pragmatic tradeoffs

Requirements

What you’ll need

Senior product management experience, with a track record in product growth, experimentation, or data-driven consumer products
Quantitative background in statistics, measurement for probabilistic systems, or LLM evaluation frameworks
Ability to make ML-specific product decisions and evaluate model performance
Experience in consumer-facing product environments with large user bases and mature data and experimentation practices
Strong communication skills, with patience for teaching non-technical stakeholders
Flexible, pragmatic mindset; comfortable compromising and moving quickly
Specific travel and participation requirements may apply based on role and location

Benefits

Comp & perks

Base salary and bonus
Full-time employment
In-person onboarding/cultural immersion may include Launching into Better: LIVE, a multi-day experience in New York City
Benefits information provided at https://benefitsatfanatics.com/