Product Manager, Location Analytics (Remote - US)

This position is posted by Jobgether on behalf of Consumer Edge. We are currently looking for a Product Manager, Location Analytics in the United States.

As a Product Manager for Store Location Analytics, you will lead the development of advanced store-level and trade-area analytics products, driving insights that empower clients to make informed decisions about consumer behavior and store performance. You will collaborate with engineering, data science, and commercial teams to deliver intuitive, high-impact features that support market sizing, competitive benchmarking, white space analysis, and geospatial analytics. This role combines strategic product leadership with hands-on execution, allowing you to influence the roadmap, prioritize initiatives, and translate complex data into actionable intelligence. You will engage directly with clients to validate use cases and ensure your solutions align with real-world business needs. Remote collaboration and cross-functional teamwork will be key as you help shape the future of store-level location intelligence in a dynamic, high-growth environment.

Accountabilities

• Define and execute the Store Location Analytics product roadmap aligned with strategic objectives.
• Build and enhance features that address client use cases such as measuring store-level spend, customer counts, competitive benchmarking, and identifying expansion opportunities.
• Enable geospatial analytics by mapping consumers to stores and rolling up insights to regional or national levels.
• Translate client requirements into actionable product specifications, prioritize roadmap items, and guide features from concept to launch.
• Integrate store-level analytics into the platform’s AI and dashboard interfaces for natural language queries and visualizations.
• Serve as the voice of the customer by engaging with clients to validate use cases, refine features, and ensure alignment with business needs.
• Collaborate with engineering and data science teams to deliver accurate, scalable, and performant solutions.

• 4–8+ years of product management experience, with at least 3 years in store location analytics, retail intelligence, or GIS-based analytics.
• Proven track record building tools for store performance, trade-area analysis, and market expansion/white space analytics.
• Strong knowledge of store geocoding, trade-area definitions, and competitor/store footprint analysis.
• Experience with B2B data or SaaS analytics platforms; familiarity with transaction data is a plus.
• Technical literacy to collaborate effectively with engineers and data scientists on geospatial data structures, APIs, and visualization tools.
• Excellent communication and stakeholder management skills.
• Bachelor’s degree required; advanced degree in business, data science, or a related field preferred.

• Competitive salary: $150,000 – $200,000 annually, based on experience.
• Performance-based bonus and potential company equity.
• Comprehensive health benefits, including subsidized medical, dental, and vision coverage.
• 401(k) plan with employer match.
• Paid parental leave and flexible time off policies.
• Remote work flexibility and vibrant work environment supportive of professional growth and innovation.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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