Staff Data Product Manager

Twilio

Staff Data Product Manager leading strategy and lifecycle of data products at Twilio. Collaborating with cross-functional teams to ensure data products drive business growth and user engagement.

Posted 7/22/2026full-timeRemote • California, Connecticut, New Jersey, New York, Pennsylvania, Washington • 🇺🇸 United StatesLead💰 $155,520 - $228,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading data product strategy and development, ensuring scalability, reliability, and user-friendliness. Proficient in defining success metrics and collaborating with cross-functional teams to enhance data quality and user adoption.

Highest-signal resume keywords

Product ManagementData PlatformsSQL ProficiencyAgile Product DevelopmentData Governance

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Product DevelopmentData Pipeline ManagementAnalytics/BI ToolsData Quality MonitoringSuccess Metrics Tracking

Soft Skills

Strong CommunicationCollaboration SkillsProject ManagementAnalytical SkillsProblem-Solving Skills

Industry Keywords

Data GovernancePrivacy RegulationsData Security StandardsUser AdoptionCross-Functional Collaboration

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Lead the strategy, development roadmap, and lifecycle of data products and platforms
Define the roadmap for data solutions
Collaborate with cross-functional teams
Ensure data products are scalable, reliable, and user-friendly
Monitor and improve data quality, reliability, and user adoption of data tools
Define and track success metrics for data products

Requirements

What you’ll need

8 years of experience in product management, engineering, or analytics
Strong understanding of data platforms, data pipelines, and analytics/BI tools
Proficiency with SQL
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
Experience with agile product development methodologies
Strong project management skills
Strong analytical and problem-solving skills

Benefits

Comp & perks

competitive pay
generous time off
ample parental and wellness leave
healthcare
a retirement savings program
equity plan
corporate bonus plan