Product Manager

Job Title: Product Manager

Location: Mumbai (On-site)

Website: https://lovelocal.in

LinkedIn: https://in.linkedin.com/company/lovelocalindia

Qualification: B.E./B.Tech. (From Tier 1 or Tier 2 colleges preferred)

About Lovelocal

At Lovelocal, we're committed to building vibrant communities through the support of local Kirana stores. Our mission is to empower small businesses by providing them with the tools and resources they need to thrive in today’s competitive market. By leveraging technology and fostering connections, we aim to enhance the local shopping experience while promoting sustainable practices.

Role Overview

We are looking for a Product Manager with 2–4 years of experience to join our Product team and own key aspects of the post-order / post-purchase customer and operational experience.

You will work on problems that sit at the intersection of customers, retailers, operations, technology and business. The role involves understanding what happens after an order is placed, identifying friction across the journey, using data to diagnose problems, and working with engineering and operations teams to build better products and processes.

The ideal candidate is strong with data and SQL, has solid product fundamentals, thinks deeply about customer and operational problems, and is comfortable working in an ambiguous, fast-paced startup environment.

We are particularly interested in candidates who have worked on post-order/post-purchase products or workflows in e-commerce, marketplaces, logistics, delivery, or consumer internet businesses.

Key Responsibilities:

Product Ownership

• Own product problems and initiatives across the post-order / post-purchase journey, from problem identification through execution and measurement.
• Understand customer, retailer and operational pain points and translate them into clear product requirements.
• Work closely with Engineering, Design, Operations, Growth and other stakeholders to define and deliver product solutions.
• Prioritise problems and features based on customer impact, business value, data and engineering feasibility.
• Drive initiatives from problem definition through launch, iteration and measurement.

Data & Ananlytics

• Use SQL and product data to investigate problems, identify trends and uncover opportunities.
• Analyse customer journeys, cancellations, refunds, returns, fulfilment and other relevant post-order metrics.
• Monitor product metrics and identify key drivers of customer and business outcomes.
• Use data to evaluate product performance and make informed product decisions.
• Partner with data and engineering teams to improve instrumentation and data quality where required.

Customer & Operational Experience

• Deeply understand the customer journey after an order is placed and identify areas of friction.
• Understand operational workflows and how technology can improve efficiency and customer experience.
• Work with Operations and business teams to identify recurring problems and convert them into scalable product solutions.
• Balance customer experience, retailer needs, operational efficiency and business outcomes while making product decisions.

Product Execution

• Create clear product requirements, user stories and acceptance criteria.
• Work closely with engineering teams during development to ensure the intended product outcome is delivered.
• Track product initiatives, identify execution risks and ensure timely delivery.
• Analyse post-launch performance and continuously iterate based on data and user feedback.

Required Qualifications:

• 2–4 years of overall work experience in Product Management.
• At least 1 year of hands-on experience working on Post-Order / Post-Purchase products, journeys or operational workflows.
• Strong understanding of product management fundamentals, including problem discovery, prioritisation, product execution and measuring outcomes.
• Strong analytical ability with hands-on SQL experience.
• Ability to work directly with raw data and use analysis to identify patterns, problems and opportunities.
• Strong problem-solving and structured thinking skills.
• Ability to translate ambiguous business or customer problems into clear product requirements.
• Strong written and verbal communication skills.
• Ability to work effectively with Engineering, Operations, Data and other cross-functional teams.
• Comfortable working in a fast-paced and ambiguous startup environment.

Industry & domain Experience

Experience in one or more of the following environments is strongly preferred:

• E-commerce
• Marketplace
• Quick Commerce
• Logistics
• Last-mile delivery
• Consumer Internet
• Retail technology
• Other businesses with complex customer or operational workflows

Candidates with experience working on order management, fulfilment, delivery, cancellations, returns, refunds, customer support, payments or other post-purchase journeys will be particularly relevant.

AI Orientation:

We are looking for someone who is curious about how AI and LLMs can fundamentally change product experiences and workflows.

The candidate should:

• Have a strong interest in AI-led product development.
• Be curious about applying AI/LLMs to customer, operational and product problems.
• Be willing to experiment with emerging AI capabilities.
• Think beyond using AI simply as a productivity tool and explore how AI can enable new product experiences.Prior experience building AI products is not mandatory, but a strong interest and understanding of AI's potential in product development is expected.

Nice to have

• Experience working on post-order / post-purchase products in a high-volume consumer business.
• Experience with marketplace or merchant-facing products.
• Experience working with complex operational workflows.
• Experience with experimentation, A/B testing and product analytics.
• Experience working with customer support, fulfilment, logistics or delivery systems.
• Exposure to Python or another programming language for data analysis.
• Experience working with BI / analytics tools.
• Experience in a startup or high-growth product environment.

What Success looks like in 3-6 Months

• Develop a strong understanding of LoveLocal's post-order customer and retailer journeys.
• Identify and prioritise key customer and operational pain points using data.
• Successfully own and deliver product initiatives from problem definition through launch.
• Establish clear metrics to measure product and business impact.
• Use SQL and product data regularly to support product decisions.
• Deliver measurable improvements in post-order customer experience and/or operational efficiency.
• Identify opportunities where automation or AI can meaningfully improve post-order workflows.

Perks and Benefits:

• Competitive salary and performance-based bonuses.
• Flexible work hours and hybrid work options.
• Comprehensive health and wellness programs, including mental health support.
• Generous paid time off policy and holiday schedule.

Personal Growth and Development:

• Quarterly rewards and recognition programs to celebrate team achievements.
• OKR-based appraisal system to align personal goals with company objectives.
• Tailored learning roadmaps for each to support career growth.
• Opportunities for training and participation in webinars to enhance skills and knowledge.

Diversity and Inclusion:

At Lovelocal, we celebrate diversity and are committed to creating an inclusive environment for all employees. We believe that diverse perspectives drive innovation and enrich our communities. We encourage applications from individuals of all backgrounds and experiences.

POSH (Prevention of Sexual Harassment):

Lovelocal is dedicated to providing a safe and respectful workplace for everyone. We have a strict POSH policy in place, ensuring that all employees are protected from harassment and discrimination. Training and resources are provided to foster a positive workplace culture.

Join Us!

If you’re excited about leveraging data to make a meaningful impact in local communities, we would love to hear from you. Apply now to join Lovelocal and be part of our mission to empower Kirana stores and build strong local economies.

Lovelocal is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.