Product Manager
- Salary not listed
- Posted 2 days ago · via SmartRecruiters
Hiring in some regions only
Build analytics solutions to optimize retail assortments
Define and deliver advanced analytics solutions for retailers and manufacturers to optimize assortment decisions, improve category performance, and drive measurable business results. Collaborate with cross-functional teams to prioritize and deliver product innovations as part of a larger portfolio roadmap.
Why This Role?
Direct impact on retail and manufacturing optimization
Key Responsibilities
- Own and prioritize a product backlog to ensure investments deliver measurable customer value
- Gather and synthesize customer feedback, market insights, and usage analytics to identify unmet needs
- Define product requirements and acceptance criteria for advanced analytical capabilities
Requirements
- Experience in product management for analytics or data-driven solutions
- Understanding of data pipelines, machine learning workflows, and modern cloud-based analytics platforms
- Ability to evaluate trade-offs among functionality, performance, usability, accuracy, and technical complexity
Required Skills
Indonesia Context
- Working Hours Overlap:
- Flexible — work your own hours
View Original Description from SmartRecruitersShow more
Original description from SmartRecruiters
Product Manager, Assortment Analytics & Activation Job Description As a Product Manager on the Assortment Analytics & Activation team, you will define and deliver innovative analytics solutions that help retailers and manufacturers optimize assortment decisions, improve category performance, and drive measurable business results. You will partner with Data Science, Engineering, UX, Commercial and Operations teams to prioritize and deliver product innovations as part of a larger portfolio roadmap. You will collaborate with product team members and cross-functional teams across regions to drive roadmap execution, and support AI-enabled innovation in assortment solutions. Key Role Responsibilities Own and prioritize a product backlog as part of the larger assortment portfolio, ensuring investments deliver measurable customer value while balancing technical scalability, data quality, and business objectives. Gather and synthesize customer feedback, market insights, usage analytics, and competitive intelligence to identify unmet needs and inform product investment decisions. Define product requirements, user stories, and acceptance criteria for advanced analytical capabilities including forecasting, optimization, simulation, recommendation engines, and decision-support tools. Work effectively with Data Scientists and Software Engineers and understand data pipelines, machine learning workflows, APIs, and modern cloud-based analytics platforms. Evaluate trade-offs among functionality, performance, usability, accuracy, technical complexity, and delivery timelines to maximize client and business value. Lead product planning and execution within a scaled Agile development environment, participating in quarterly planning, ongoing backlog refinement, sprint reviews, and continuous improvement activities. Define and monitor product success metrics, including user adoption, customer satisfaction and commercial impact to guide prioritization and investment decisions. Lead cross-functional decision-making across Product, Engineering, Data Science, Commercial, Operations, and Customer Success teams to ensure successful product delivery and adoption. Support release planning and go-to-market activities, partnering with Commercial, Marketing, and Customer Success teams to drive awareness and client adoption. Key Role Responsibilities Own and prioritize a product backlog as part of the larger assortment portfolio, ensuring investments deliver measurable customer value while balancing technical scalability, data quality, and business objectives. Gather and synthesize customer feedback, market insights, usage analytics, and competitive intelligence to identify unmet needs and inform product investment decisions. Define product requirements, user stories, and acceptance criteria for advanced analytical capabilities including forecasting, optimization, simulation, recommendation engines, and decision-support tools. Work effectively with Data Scientists and Software Engineers and understand data pipelines, machine learning workflows, APIs, and modern cloud-based analytics platforms. Evaluate trade-offs among functionality, performance, usability, accuracy, technical complexity, and delivery timelines to maximize client and business value. Lead product planning and execution within a scaled Agile development environment, participating in quarterly planning, ongoing backlog refinement, sprint reviews, and continuous improvement activities. Define and monitor product success metrics, including user adoption, customer satisfaction and commercial impact to guide prioritization and investment decisions. Lead cross-functional decision-making across Product, Engineering, Data Science, Commercial, Operations, and Customer Success teams to ensure successful product delivery and adoption. Support release planning and go-to-market activities, partnering with Commercial, Marketing, and Customer Success teams to drive awareness and client adoption. Why Join Us Join a team that is transforming how retailers and manufacturers make assortment decisions through advanced analytics, forecasting, and AI-powered insights. In this role, you will: Contribute to the strategy and roadmap for products used by leading global retailers and manufacturers. Work directly with Data Scientists, Engineers, Designers, and commercial teams to bring innovative solutions to market. Influence the future of AI-enabled decision support tools within a rapidly evolving product portfolio. Solve complex business problems using large-scale consumer and retail datasets. Make a measurable impact on customer growth, efficiency, and return on investment. Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/ About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion
Not quite right? Similar roles hiring now
See all 5 similar →Employer hires only in specific regions — check eligibility first
Explore related
Market data & reports
Salary & skill-demand research built from our own listings data.
- Skills Remote Employers Ask For in the AI EraMost-named skills in active listings by kind, AI-named skills and the fastest risers. Weekly data.
- Indonesia IT Jobs vs Global Remote (2026)Primary analysis of 2,049 listings: methodology, classification rules, downloadable datasets.
- AI-Skill Demand: Indonesia vs Global Remote (2026)10,000+ postings, taxonomy-first classifier, Wilson CIs, pre-registered before analysis.
- Remote ≠ Remote: The Skills That Open Global Work to Indonesians (2026)12,891 remote listings: the highest-paid coding skills are the most geo-locked for Indonesia-based applicants. CC BY 4.0 aggregate dataset.
- The Compliance Layer of the AI Hiring Stack (2026)6,349 remote listings: 77.2% never state who may apply. Methodology and a CC BY 4.0 aggregate dataset.
- AI in Job Ads: Indonesia vs Global (2026)Global engineering ads naming AI rose from 3.4% to 23% after ChatGPT; Indonesian ads went from 2.2% to 2.8%. 2027 scenarios and a CC BY 4.0 dataset.
- Pandora's Box Ep. 1: AI and Southeast Asian Job Ads (2026)118,545 archived job ads, 2019–2026: web and software developer ads shrank on every board, a phone app became the entry ticket, and a Job X-ray for 17 jobs. CC BY 4.0 datasets.
- Cron vs LLM vs LangGraph vs Agent for Social Posts (2026)A pre-registered test of four ways to turn a blog post into social posts, on two models. Automated checks picked a cron template; the model mattered more than the framework.
- Indonesia Hiring Report: Tech vs Non-TechJob demand by field from aggregate open-job counts — never individual listings.
- Indonesia Salary BenchmarkAggregate salary ranges across roles, with open methodology and dataset.
- Indonesian Remote Work Salary & Demand IndexHow much of the global remote job corpus is open to Indonesia, and what it pays (USD) by role.
- Indonesia Quarterly Labor Market ReportLayoffs, funding, salaries & skills per quarter — open aggregates.
- Remote Market Reports by RoleAuto-generated per role family — skills, seniority, companies, salary.
- Global Remote Salary BenchmarkAnnual salary by role & currency, plus the share of listings open worldwide.
This employer appears to hire only in certain regions.