Senior Product Owner

Reposted Yesterday
2 Locations
In-Office
Senior level
Artificial Intelligence • Consulting
The Role
Lead vision, strategy, and execution for a retail experimentation SaaS platform. Define roadmap, translate customer needs into product requirements, collaborate with engineering and data science, measure experiment impact, and drive adoption across go-to-market teams.
Summary Generated by Built In

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Job Description – Senior Product Manager (Retail Experimentation Platform, SaaS)About the Role

We are looking for a Product Manager to drive the vision, strategy, and execution of our Retail Experimentation SaaS Platform. This role requires a blend of product strategy, data-driven decision making, and retail domain understanding to build tools that empower enterprises to run, analyze, and scale experiments across digital and physical channels.

You will collaborate closely with engineering, design, data science, and go-to-market teams to deliver capabilities that transform how retailers test, learn, and grow.

Key Responsibilities
  • Product Strategy & Vision

    • Define the product vision and roadmap for experimentation capabilities (e.g., hypothesis generation, precision targeting, store & customer-level testing, ROI measurement).

    • Stay ahead of retail, e-commerce, and SaaS trends to identify opportunities for innovation.

  • Customer & Market Focus

    • Partner with retailers, merchandisers, and data science teams to understand pain points in experimentation.

    • Translate customer needs into clear product requirements with a focus on usability, trust, and scalability.

  • Platform & Execution

    • Own the end-to-end lifecycle: ideation, prioritization, development, launch, and iteration.

    • Define product requirements for experimentation workflows (setup, targeting, cohort analysis, reporting).

    • Collaborate with engineering to ensure high-performance, secure, and scalable SaaS delivery.

  • Data & Insights

    • Establish key metrics (e.g., experiment adoption, velocity, lift measurement accuracy, ROI impact).

    • Leverage analytics and customer feedback to continuously improve product capabilities.

  • Cross-Functional Leadership

    • Work closely with data science to integrate advanced analytics (e.g., causal inference, machine learning-driven insights).

    • Partner with customer success, marketing, and sales to deliver compelling go-to-market stories and drive adoption.

    • Evangelize the platform vision internally and externally with clients and stakeholders.

Qualifications
  • Bachelor’s degree in Business, Computer Science, Engineering, or related field (MBA a plus).

  • 10-15 years of experience in Product Management within SaaS, data/analytics platforms, or retail tech.

  • Strong understanding of experimentation, A/B testing, retail data, and omnichannel customer behavior.

  • Proven track record of building and launching B2B SaaS products.

  • Analytical mindset; ability to work with data science teams and translate complex analytics into product features.

  • Strong execution and organizational skills; experience with Agile/Scrum practices.

  • Excellent storytelling, communication, and stakeholder management skills.

Key Skills
  • Experimentation frameworks & test-and-learn strategies

  • Retail & e-commerce business models

  • SaaS platform design & scalability

  • Data analytics & performance measurement

  • Roadmap prioritization & agile product delivery

  • Customer empathy & UX mindset

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Hiring Related Queries

India: [email protected]

Outside India: [email protected]

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Skills Required

  • Bachelor's degree in Business, Computer Science, Engineering, or related field
  • 10-15 years of Product Management experience in SaaS, data/analytics platforms, or retail tech
  • Strong understanding of experimentation, A/B testing, retail data, and omnichannel customer behavior
  • Proven track record of building and launching B2B SaaS products
  • Analytical mindset and ability to work with data science teams (translate complex analytics into product features)
  • Experience with Agile/Scrum practices and strong execution/organizational skills
  • Excellent storytelling, communication, and stakeholder management skills
  • MBA
  • Experience with experimentation frameworks, ROI measurement, and platform scalability
  • Customer empathy and UX mindset

Fractal Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fractal and has not been reviewed or approved by Fractal.

  • Healthcare Strength Health coverage includes medical, dental, and vision along with tax‑advantaged accounts and EAP in the U.S., indicating a broad core package. Feedback suggests core protections exist across regions, though specifics can vary by location.
  • Leave & Time Off Breadth Time‑off programs include generous PTO, paid holidays and sick time, paid volunteer time, and sabbaticals in some areas. Some accounts also describe manager‑approved or flexible PTO approaches alongside hybrid/WFH latitude.
  • Flexible Benefits Work arrangements commonly include remote/hybrid options and flexible schedules. Flexibility is frequently highlighted as part of the overall value proposition.

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The Company
HQ: New York, NY
5,262 Employees

What We Do

Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assists CEOs, and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, and Eugenie.ai to find anomalies in high-velocity data & Samya.ai to drive next-generation Enterprise Revenue Growth Management. Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner.

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