About this role.
Twilio is hiring a Staff Analytics Engineer to build and govern a trusted GTM business data layer supporting sales analytics, reporting, data science, and AI. The role centers on dbt-based modeling, centralized metric definitions, data reconciliation, automated quality checks, and investigation of complex data anomalies. It requires at least eight years of relevant analytics engineering, data engineering, or BI experience, ideally in SaaS GTM or sales analytics. The successful candidate will partner closely with GTM Operations and Finance while mentoring team members and communicating technical findings to varied audiences.
Role DNA
A quick view of the complexity, pace, ownership and collaboration implied by the job description.
Job Complexity
5/5Pace & Pressure
4/5Autonomy Level
5/5Communication Load
5/5Salary analysis
Estimated compensation compared with the broader US market for similar roles.
Core skills
Skills and capabilities most closely associated with this opportunity.
Sample interview questions
I would begin by aligning stakeholders on canonical metric definitions, grain, ownership, and acceptable source systems. I would model standardized staging, intermediate, and curated marts in dbt, document lineage and definitions, add tests for key business rules, and publish certified models for reporting and downstream data science use.
I would first quantify the discrepancy by period, segment, and metric component, then trace lineage from both outputs to their source records and transformation logic. I would validate joins, filters, timing rules, currency handling, and late-arriving data, document the root cause, implement a corrective change, and add a regression test or reconciliation alert to prevent recurrence.
I would combine dbt schema tests with custom business-rule tests for completeness, uniqueness, referential integrity, freshness, reconciled totals, and acceptable value ranges. I would run these through CI/CD before deployment, monitor production results through observability tooling, and establish clear ownership and incident procedures for failed critical checks.
I would facilitate a working session focused on the business decision each definition supports, the source data, calculation logic, and timing assumptions. Where distinct valid use cases exist, I would define and document separate metrics rather than force false equivalence; otherwise, I would drive agreement on one governed definition and publish it through the business data layer.
I would establish practical standards for model structure, naming, documentation, testing, and code review, then reinforce them through examples and constructive reviews. I would pair mentoring with ownership opportunities, regular technical feedback, and reusable templates so team members can independently deliver reliable models while improving their engineering judgment.
Who we are
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. Your career at Twilio is in your hands.
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Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
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See yourself at Twilio
Join the team as Twilio’s next Staff, Analytics Engineer, GTM Data Science & Analytics.
About the job
This position is needed to advance the quality, reliability, and strategic value of Twilio’s Go-To-Market (GTM) data by designing and maintaining a robust business data layer to enable trusted sales analytics, reporting, data science, & AI capabilities. The Staff, Analytics Engineer will play a mission-critical role in driving cross-functional alignment within GTM Data Science & Analytics and Sales Operations on key Sales & Finance business metrics, ensuring data consistency and empowering data-driven decision-making.
Responsibilities
In this role, you’ll:
- Design and implement a formal business data layer in dbt, ensuring that data from multiple sources is centralized, reconciled, and serves as a single source of truth for GTM metrics.
- Collaborate with stakeholders within the GTM Operations team and Finance to define, document, and maintain alignment on key business metrics and data definitions.
- Develop and maintain automated data reconciliation and quality checks to proactively identify and resolve discrepancies, ensuring accuracy and consistency of critical reports and dashboards.
- Mentor and guide members of the data science and analytics team, establishing and enforcing best practices around data modeling, testing, documentation, and code review.
- Lead investigations into complex data anomalies, conduct root cause analysis, and communicate findings and solutions effectively to both technical and non-technical audiences.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn’t followed a traditional path, don’t let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
- Minimum 8 years of professional experience in analytics engineering, data engineering, business intelligence, or a related discipline, with a preference for direct experience supporting GTM or sales analytics in a SaaS environment.
- Advanced expertise in SQL and hands-on experience designing data models and orchestrating data pipelines using dbt.
- Demonstrated ability to partner with cross-functional stakeholders to codify, document, and reconcile critical business metrics, ensuring company-wide data alignment.
- Proven track record of implementing robust data quality and testing frameworks, including expertise with dbt tests, CI/CD, and data observability.
- Strong technical communication and mentorship skills, with the ability to convey complex concepts to a range of audiences.
Location
This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
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 this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only.
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.
Application deadline information
Applications for this role are intended to be accepted until September 30th 2026, but may change based on business needs.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That’s why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.
So, if you’re ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn’t what you’re looking for, please consider other open positions.
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Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
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Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
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