Senior Product Manager

Mployee.me; Mumbai; On-site; INR 1,500,000 - 3,200,000; Full time

Job summary

Mployee.me in Mumbai, India, seeks a Product Manager for Marketing Automation AI to own a meaningful slice of the platform from discovery to launch and adoption. You will work closely with the product team and cross-functional stakeholders to deliver AI-enabled marketing solutions that scale with quality.

You will ground decisions in real data, craft build-ready specs, and collaborate across engineering, design, and business units to ship high-impact marketing products with strong ownership and

Qualifications

• 3–6 years of product management experience with end-to-end ownership.
• Data fluency and comfort with SQL/analytics tools.
• Strong problem-solving and structured thinking.

Responsibilities

• Own marketing end-to-end: discovery, PRD, design collab, build oversight, launch and adoption.
• Ground decisions in data from usage, ops, and business metrics.
• Collaborate with engineering, design, and cross-functional stakeholders to ship high-quality marketing products.
• Translate ambiguous problems into clear specs for build.
• Run iterative delivery cadence and ship after approvals.
• Define success metrics (acquisition, efficiency, user quality, LTV) and instrumentible outcomes.
• Identify AI/LLM opportunities to add value for marketing teams.

Skills

Product ownership

SQL analytics

Data-driven decisions

Stakeholder mgmt

Communication

Systems thinking

AI-native mindset

Job description

About The Role

JD - Product Manager - Marketing Automation AI Pod:

We are building AI-led marketing automation systems for our Digital marketing team. The core objective is simple: use automation and intelligence to acquire users at scale, efficiently, and with high quality - with the long-term value (LTV) of these users as a core target. You'll join as a Product Manager owning a meaningful slice of this platform end-to-end - from problem discovery through launch and adoption - working closely with the existing product team and cross-functional stakeholders across the business.

What You'll Do

• Own product for Marketing end-to-end: discovery, PRD writing, design collaboration, build oversight, launch, and adoption.
• Ground every decision in real data - you'll pull and interpret actual usage, operational, and business data to generate hypotheses, test them and then recommend a product solution to implement.
• Partner closely with engineering, design, and cross-functional business stakeholders to ship high-quality marketing products.
• Translate ambiguous, evolving business problems into clear, build-ready specifications.
• Run a disciplined, iterative delivery cadence - validate direction early, correct fast, and ship surgically once something's approved.
• Own outcomes, not just output - define what success looks like for your area against the team's core metrics (acquisition scale, efficiency, user quality, and LTV) and instrument for it.
• Build with an AI-native mindset - actively identify where AI/LLM capabilities can create outsized value for the marketing team (automation, intelligence, personalization) rather than treating AI as an add-on, and use AI tools yourself to move faster through discovery, spec-writing, prototyping, and analysis.

What We Are Looking For

• 3-6 years of product management experience, with genuine end-to-end ownership of a product area - not just feature delivery.
• Strong first-principles problem-solving - able to break down ambiguous, complex business problems into structured, solvable pieces.
• Data fluency - comfortable with SQL/analytics tools, sharp about defining the right metrics, and instinctively data-backed in decision-making.
• Excellent written and verbal communication - you can write unambiguous, build-ready specs and communicate clearly and persuasively with stakeholders at every level.
• Proven stakeholder management - able to align cross-functional teams (business, engineering, design, marketing) with competing priorities toward a shared outcome.
• Strong product sense - an eye for what makes a workflow simple and valuable for a non-technical, business-user audience.
• User empathy - genuine curiosity about the people who'll use what you build, and discipline about validating with them rather than assuming.
• Systems thinking - comfortable reasoning about platforms with multiple integrated modules, dependencies, and stakeholders rather than isolated features.
• Bias for action and ownership - you drive things forward independently, don't wait to be told.
• AI-native orientation - genuine fluency and enthusiasm for using AI tools in your own workflow, and a sharp eye for where AI can be embedded into the product itself to create value for the marketing team.
• Prior experience with platform, marketplace, marketing technology, or internal-tooling products is a strong plus.
• Exposure to marketing/ad platforms (Meta Ads, Google Ads, or similar) is a plus, though not required.