# Staff, Data Product Manager

**Company:** [Twilio](https://hotfix.jobs/companies/twilio)
**Location:** Remote
**Role:** Product Management
**Salary:** $156k – $229k/yr
**Experience:** 8+ years
**Skills:** Product Management, Data Platforms, Data Pipelines, Analytics, BI Tools, AWS, Snowflake, dbt, Tableau, SQL, Data Modeling, Data Governance, Data Privacy, agile methodologies
**Posted:** 2026-07-22

> Lead the strategy, roadmap, and lifecycle of data products and platforms at the intersection of data, technology, and business. Bridge data engineers/scientists with GTM stakeholders to deliver scalable, high-quality data assets that drive insights, automation, and growth in a SaaS environment.

## Job Description

## Responsibilities
- Define and own the vision, strategy, and roadmap for data products (e.g., dashboards, data platforms, model features and enhancements) that support data-driven insights, decisioning, and actions.
- Act as the bridge between data engineers, data scientists, analysts, and business stakeholders to translate business needs into data solutions.
- Develop product requirements and user stories focused on data access, usability, performance, and quality.
- Prioritize data initiatives based on business impact, technical feasibility, and data availability.
- Ensure proper data governance, privacy, and compliance practices are followed.
- Ensure teams have self-service access to GTM data via platforms, tools, and interfaces.
- Monitor and improve data quality, reliability, and user adoption of data tools and features, providing regular reporting on effectiveness and areas for improvement.
- Define and track success metrics for data products, ensuring they meet business and technical goals.
- Foster a culture of data-driven decision making by making data products intuitive and accessible.
- Partner with finance, product, and sales teams to ensure that data products serve the needs of our internal customers.
- Stay informed about industry trends, tools, and best practices in data product management and data enablement.
- Develop training materials to empower teams across the organization to use data effectively for decision-making, campaign execution, and customer engagement.
- Lead initiatives to improve data literacy across teams, ensuring that data is accessible, understandable, and actionable.
- Identify opportunities for innovation in how we leverage data, driving new methodologies and technologies to enhance data utilization and customer experience.

## Requirements
- 8 years of experience in product management, engineering, or analytics with a focus on data products, analytics platforms, or data infrastructure, with a preference for direct experience supporting GTM or sales analytics in a SaaS environment.
- Strong understanding of data platforms, data pipelines, and analytics/BI tools (e.g., AWS, Snowflake, DBT, Tableau).
- Proficiency with SQL and familiarity with data modeling concepts.
- Experience working with data teams (engineering, analytics, and data science).
- Knowledge of data governance, privacy regulations, and data security standards.
- Strong communication and collaboration skills, with the ability to work across technical and non-technical stakeholders.
- Experience with agile product development methodologies.
- Strong project management skills, with the ability to prioritize and execute multiple initiatives simultaneously.
- Strong analytical and problem-solving skills with the ability to translate data insights into actionable strategies.

## Nice-to-Haves
- Experience with GTM technology stacks (e.g., Salesforce, Gong, etc).
- Experience with AI products such as Claude, Cortex, Glean, Gemini.
- Experience with project management software such as Jira & Airtable.
- Knowledge of data governance and data privacy regulations (e.g., MNPI compliance).
- Advanced degree (MBA, Master’s in Engineering, Analytics, Data Management or related fields) is a plus.

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