# Senior Product Manager - P&T

**Company:** [MongoDB](https://hotfix.jobs/companies/mongodb)
**Location:** New York, NY
**Role:** Product Management
**Salary:** $136k – $266k/yr
**Experience:** 5+ years
**Skills:** Data Products, Lakehouses, Medallion Architecture, Data Pipelines, MongoDB, Telemetry, Product Analytics, Agile Methodologies, Data Engineering, BI Tools
**Posted:** 2026-02-11

> Leads data product strategy for Product & Technology teams at MongoDB, building scalable pipelines, datasets, and analytics tools focused on telemetry and adoption insights. Requires 5+ years PM experience with 2+ in data products and strong data architecture knowledge.

## Job Description

## Responsibilities

### Lead Product Strategy and Ownership
- Define product vision, strategy, and roadmap for MongoDB’s Data teams and products
- Evangelize data-as-a-product with scalable solutions
- Balance quick wins with long-term innovation, including lakehouses and medallion data architecture

### Partner with Product and Technology (P&T) Teams
- Collaborate with P&T teams to address challenges and workflows
- Capture business processes, user stories, and pain points from diverse personas
- Prioritize high-impact solutions and drive innovation

### Performance and Market Analysis
- Define metrics and KPIs for success and continuous improvement
- Track trends in data platforms, engineering, and analytics

### Stakeholder Enablement
- Build documentation, guides, and onboarding materials
- Partner with training and change management teams

### Adoption and Evangelization
- Announce features with product marketing strategies
- Champion data products and lead re-launch efforts

### Agile Product Management
- Drive agile processes including sprint planning and retrospectives
- Balance innovation with tech debt resolution

## Requirements

### Proven Data Product Manager & Domain Expertise
- 5+ years of hands-on product management experience, with at least two years focused on data products or platforms
- Experience with advanced engineering organizations and software development lifecycle

### Technical Strength & Understanding of Modern Data Architecture
- Strong foundation in data engineering, analytics, and data products
- Deep familiarity with modern data platforms, scalable architecture (e.g., lakehouses, medallion data)

### Strategic and Adaptable Mindset
- Prioritize roadmaps aligned with operational needs and goals
- Adaptable problem-solver

### Growth-Focused
- Expertise in metrics, outcomes, and iterative improvement
- Comfortable in agile, fast-paced environments

### Outstanding Communication Skills
- Articulate complex concepts to diverse audiences
- Align groups on goals and priorities

## What Sets You Apart
- Experience with data science, BI, analytics, or data engineering tools
- Track record of product enablement materials
- Passion for evangelizing technical products
- Knowledge of metadata management
- Awareness of data market trends

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