7 дней назад
Senior Product Manager - Store Selling Insights (AI)
142 000 - 220 500$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Product Manager - Store Selling Insights (AI): Own the strategy and delivery of reporting and intelligence products that help store leaders act, coach sellers, and make decisions, with an accent on mobile-first, role-based insights, data governance, and predictive capabilities. Focus on evolving Looker reporting, managing platform migration and metric certification, and translating user research, telemetry, and stakeholder tradeoffs into a measurable multi-year roadmap.
Location: Hybrid in Seattle, Washington; minimum four days per week in the corporate headquarters.
Salary: $142,000–$220,500 annual, with possible performance-based incentives or bonuses.
Company
is a retail company providing stores, ecommerce, and customer-focused shopping services.
What you will do
- Own the multi-year vision and roadmap for the Store Selling Insights reporting and intelligence layer.
- Evolve fragmented, desktop-based reporting into intelligent, mobile-first, role-based insights and proactive next-best-action capabilities.
- Drive delivery, backlog sequencing, user stories, acceptance criteria, success metrics, telemetry analysis, and roadmap adjustments.
- Lead data governance, metric definition and certification, platform migration, and legacy deprecation initiatives.
- Conduct discovery with executive leaders, store leaders, and department managers to identify unmet needs and prioritization signals.
- Align Engineering, Analytics, and business stakeholders while managing risks, dependencies, and delivery tradeoffs.
Requirements
- 5+ years of product management experience with end-to-end ownership of a product domain at the Senior Product Manager level.
- Experience with enterprise BI and reporting platforms, particularly Looker, and modern cloud data ecosystems; GCP and BigQuery experience is strongly preferred.
- Hands-on experience with platform migration or consolidation, legacy deprecation, user change management, and stakeholder alignment.
- Knowledge of data governance, metric certification, semantic layers, data ownership models, data engineering, analytics, SQL, data warehousing, and pipeline concepts.
- Ability to work independently in ambiguous, matrixed environments and communicate clearly with leadership and engineering audiences.
Nice to have
- Experience with conversational analytics, agentic AI, or LLM-powered product development.
- Familiarity with store operations, store leader personas, or retail workforce management.
Culture & Benefits
- Medical, vision, dental, life, and disability insurance options.
- Retirement benefits, including a 401(k), and paid time away.
- Holidays, merchandise discounts, and Employee Assistance Program resources.
- Eligibility for benefits depends on location, job level, classification, and length of employment.
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