Rapido Bike - Product Manager

- As a Product Manager at Rapido, you will be part of a dynamic, problem-focused, metrics and science-driven team.

- You will take ownership of specific funnels and products, contributing to problem-solving via product development.

- You will follow the cycle of deriving insights; running science-based experiments and taking the results.

- You'll have to demonstrate user empathy, ask insightful questions, interpret and analyze data and actively engage in the data science and product development process.

- We believe in solving the last mile problem for India, across all modes of transport.

- Our primary focus is mobility and changing all facets of mobility across India and not just in Metros.

Responsibilities:

- Working on dual-track science-centric roadmaps for cross-functional development and analysis teams.

- Experiment Track: Design implementable experiments that are hypothesized by looking at data or user research and arrive at decisions that can be implemented post-success or failure of these experiments.

- Drive user interviews yourself to gain additional insights and discover hidden problems.

- Development track: Design a value-centric feature roadmap for the tech team which can eventually make use of models and outcomes validated by experiments.

- Perform data analysis of the results of experiments and interpret the results in the users and business context.

- Understand business challenges and goals to formulate questions for data analysis and model creation that will support their business decision-making.

- Work with data scientists to create models and frameworks that power products.

- Collaborate with data engineers, to define the data lifecycle of your products including productising data science and AI models.

Requirements:

- Experience: 2-3 years of overall work experience in product, data or design.

- Previous stint: Product Management (APM/PM/SPM) Professional or senior professionals in related fields who want to transition to product management, such as data science or product design.

- Good understanding of the Basics of statistics.

- Proficient in SQL/Python and experience with analyzing metrics, good at understanding data.

- Some experience with product design and development processes.

- Some experience with Agile, Lean, and Continuous Delivery best practices.

- Some understanding of the methodologies and approaches used in the scientific analytics process.

Behavioural Competencies:

- Communication(Verbal and written).

- Negotiation skills, stakeholder management, collaboration, and conflict resolution.

- Presentation skills, ability to learn