product
Posted 3 days agoStaff, Data Product Manager
at Twilio
United StatesRemote
Responsibilities
- Define and own the vision, strategy, and roadmap for data products (e.g., dashboards, data platforms, model features and enhancements, etc) 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
- Prioritize data initiatives based on business impact, technical feasibility, and data availability.
- 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.
- 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
- We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! .
- Join the team as Twilio’s next Staff, Data Product Manager, GTM Data Science & Analytics. About the job
- Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply.
- We are always looking for people who will bring something new to the table! *Required: 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).
- 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.
- 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
- Advanced degree (MBA, Master’s in Engineering, Analytics, Data Management or related fields) is a plus. Location
- For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer
- Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Benefits
- Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more.
- Offerings vary by location. Compensation
- *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements.
- Compensation for candidates in other locations will be discussed during the hiring process.
- The estimated pay ranges for this role are as follows:
- Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $155,520 - $194,400.
- Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $164,640 - $205,800.
- Based in the San Francisco Bay area, California: $182,960 - $228,700.
- This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following
- benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
- The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Additional details
- At Twilio, we’re shaping the future of communications, all from the comfort of our homes.
- We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.
- Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day.
- As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding.
- We are seeking a Staff, Data Product Manager to lead the strategy, development roadmap, and lifecycle of our data products and platforms.
- In this role, you will work at the intersection of data, technology, and business to unlock the value of data across the organization.
- You’ll define the roadmap for data solutions, collaborate with cross-functional teams, and ensure data products are scalable, reliable, and user-friendly.
- Together we’ll turn fragmented, raw data into structured, usable assets that drive decision-making, automation, and personalization across teams.
- You’ll ensure the right data is accessible, trustworthy, and actionable to power everything from executive insights to predictive models.
- You’ll bridge the gap between technical teams who build data infrastructure and business teams who rely on it, aligning data strategy with business goals.