Senior Product Manager - Mumbai - People Group

Overview The team that looks at constantly solving customer problems. Our continued endeavor is to help users find a suitable match for themselves at the earliest.

Role Senior Product Manager is responsible for ideation, strategic product planning, defining, delivering, and continuously innovating Internet-based consumer products and services. He/she should strive to create world-class products that are marketable and be instrumental in getting it implemented. He/she must be someone who keeps things simple while solving problems that are complex. Must have the ability to challenge authority.

What you will do in this role

• Design product feature-set, but also responsible for the associated Family of Metrics .

• Strive to be data-informed and capable of extracting a point of view from data.

• Work with the UX team, to help shape your ideas into a simple, integrated, and intuitive UI for Mobile and Web.

• Be the custodian for the Member, the User, and the Match, at various stages of the customer journey.

• Go deep to solve problems and balance your action-bias with end-states

• Design for Personas, strategic segments, and psychographic

• Work with CX teams to drive measurable impact and not managed impact

• Prepare ideation docs (User led BRD s), brainstorming on the same and making PRD s and getting it delivered in collaboration with UX Tech teams.

• Worked with Payment gateways and experience in Payment funnel optimization is preferable.

Job requirements

What you should have

• 5 years of product management experience in consumer internet products and technologies or B2C business.

• Min 1 year of experience in handling Monetization / Payments.

• Zest for learning, hustlers and Do-ers

• Strong consumer focus

• Able to create value using good business judgment

• Hands-on experience with SQL and Excel, for analytics.

Brownie Points

• Working experience with SQL, as well as PDM/Visualization Tools like Looker/Tableau, Trello, JIRA.

• Exposure to working with Data Science (and ML) teams, over and above Analytics.