Prefer candidates from SaaS/Product/Digital Marketing background

About MediaMint

MediaMint is an AI-powered Revenue Operations services company dedicated to accelerating innovation and revenue growth for platforms and publishers. We help businesses improve operational efficiency, scalability, and customer satisfaction through technology, automation, and AI. Our work spans AdTech, Consumer, CTV, Publishing, and Retail.

About the Role

We are looking for a Senior Product Analyst / Associate Product Manager to drive adoption of Mia and shape how we measure its success. Mia is MediaMint's agentic AI platform for digital media operations, used by our internal teams and our clients.

This is a hands-on, high-ownership role at the intersection of product, data, and media operations. You will work directly with users, define what success looks like for Mia and its agents, set up how we measure it, and over time own product discovery and execution for one Mia workstream. The role is designed to grow into an Associate Product Manager or Product Manager position.

Key Responsibilities

1. Drive Mia adoption

- Work directly with internal users and MediaMint teams to understand workflows, pain points, and adoption barriers, and translate what you learn into product improvements.
- Track adoption at the individual, team, and account level; identify what drives sustained usage and where users need support.
- Join client discovery and solutioning with the product leads, and turn adoption and impact data into success stories for Sales and leadership.

2. Define and measure product success

- Build the product metrics framework for Mia: a North Star metric,



supporting input metrics, and baselines for the platform, its agents, and key workflows.
- Work with platform engineering, who own instrumentation, to define the events and tracking the framework needs.
- Establish measures for agent task success, output quality, human intervention and override rates, and execution cost.

3. Set up experimentation and evaluation

- Set up a repeatable framework (A/B, holdout, or before/after) to evaluate product changes and agent improvements, with hypotheses, success metrics, and baselines defined before launch.
- Analyze results and recommend whether to adopt, iterate on, or roll back a change.

4. Own product discovery and execution for a workstream

- Own problem definition, success criteria, and post-launch evaluation for one Mia workstream, working with Product, Engineering, Design, Customer Success, Sales, and Implementation teams.
- Translate ambiguous questions into structured analysis and transparent recommendations that inform prioritization and the roadmap.

Required Qualifications

- At least 2 years of relevant professional experience in product analytics, data analytics, data operations, or product.
- Strong, independent SQL on large datasets (joins, aggregations, funnels, cohorts),



ideally on media or ad operations data.
- Comfort with data pipelines and data quality, and with interpreting data from multiple sources.
- A track record of turning analysis or user feedback into a changed process, tool, report, or product decision.
- Works through ambiguous problems with limited direction, and communicates with confidence across functions.

Preferred Qualifications

- Around 2+ years in AdTech, media operations, programmatic advertising, or publisher/agency workflows.
- Experience in a B2B SaaS, workflow automation, or AI-native product: defining metrics, running experiments, or shaping roadmap decisions.
- Hands-on experience with a product analytics tool (Amplitude, Mixpanel, PostHog, Heap, or similar) is a strong plus.
- Familiarity with AI quality evaluation and human-in-the-loop workflows.

What Success Looks Like

- By 90 days: baselines agreed for one Mia workstream, with the metrics framework in use.
- By 6 months: owns adoption and measurement for that workstream end to end, with a repeatable experimentation framework in place.
- Ongoing: improved and sustained adoption of Mia across teams, trusted metrics that support decisions, and increasing ownership of discovery, prioritization, and execution.

Career Growth

This role builds a foundation across product analytics, user discovery, experimentation, and product execution. For someone who demonstrates product judgment, ownership, and stakeholder skills, it is a direct pathway into an Associate Product Manager or Product Manager role.

📌 Product Analyst (Hyderabad)
🏢 MediaMint
📍 Hyderabad