Role Overview :

Were looking for a Senior Product Manager - Platforms to build and own the internal platform capabilities that power how Snapmints product team's work. This is a highly technical, cross-cutting role that spans three areas:

1. Product analytics and data platforms such as Mixpanel

2. A/B experimentation infrastructure and tooling such as Unleash

3. Engineering productivity - working with tech teams to reduce bug rates and accelerate feature delivery.

You will be a force multiplier for every product team at Snapmint by ensuring they have the data, experimentation, and AI-assisted analytics tools needed to make faster, more confident decisions.

Key Responsibilities :

Data Analytics Platform :

- Own the product analytics stack (e.g. Mixpanel) - drive adoption, governance, and capability expansion across product and growth teams

- Work with data engineers to define event taxonomies, ensure instrumentation quality, and maintain data pipelines that power product experiments

- Enable AI-assisted analytics capabilities (e.g. anomaly detection, automated insights) for product managers and the data analytics team

- Partner with data analytics to build self-serve dashboards and reporting frameworks that reduce dependency on ad-hoc data pulls

A/B Experimentation Platform :

- Build and maintain the A/B experimentation platform (e.g. Unleash or equivalent) to enable product teams to run rigorous, statistically sound experiments

- Define best practices, guardrails, and documentation for experiment design, feature flagging, and rollout management

- Ensure experiment data quality and work closely with data engineering to validate results and prevent instrumentation errors

- Drive a culture of experimentation across product teams by making it easy to set up, monitor, and conclude experiments

Engineering Productivity & Delivery :

- Partner with engineering leads to identify and reduce sources of bugs, technical debt, and delivery bottlenecks across the product org

- Define and track engineering health metrics such as bug escape rate, cycle time, deployment frequency, and MTTR

- Champion processes and tooling that improve feature delivery speed - from sprint planning to release management

- Act as a connective layer between product and engineering to ensure platform investments translate into measurable improvements in shipping velocity

Requirements :

- 5 - 7 years of product management experience, with at least 2 - 3 years in a platform, infrastructure, or internal tooling product role

- Prior experience at a B2C company with significant scale; experience at a top consumer internet or fintech company is a strong plus

- Hands-on familiarity with analytics tools (e.g. Mixpanel, Amplitude, Segment) and experimentation platforms (e.g. Unleash, LaunchDarkly, Optimizely)

- Technical depth to engage credibly with data engineers and software engineers - ability to understand data pipelines, event schemas, feature flags, and API integrations

- Strong understanding of data quality, experimentation methodology, and statistical significance

- Experience working with AI/ML-powered analytics tools or enabling data teams to adopt them is a plus

- Excellent stakeholder management skills - able to influence without authority across product, engineering, and data teams

- Data-driven and highly structured in prioritizing platform investments against business impact