Original listing text, shown exactly as published by the company.
Responsibilities
In this role, you’ll
- Translate business objectives into a data science roadmap that prioritizes high-LTV (Lifetime Value) growth
- Dig into the science of our self-service funnel and graduation to Sales to uncover optimization opportunities, diagnose issues, and provide actionable recommendations through data products
- Identify leading indicators of revenue and build data science models that surface high potential opportunities
- Serve as a key technical advisor to GTM leadership across Sales and Marketing
- Build extensive knowledge of user behavior, the customer purchase and usage experience, and our lead funnel to inform data science solutions
- Develop sophisticated recommendation engines that identify "next-best-action" opportunities within our existing customer base, ensuring sales and marketing engagement the right person at the right time
- Build robust frameworks to measure the incremental impact of your data products, moving beyond simple correlation to prove true ROI
- Leverage machine learning and generative AI capabilities to support Product-led-growth (PLG) initiatives
- Partner with Data Engineering to define the long-term roadmap for GTM data architecture, ensuring high-fidelity 'source of truth' data for signals like product-qualified leads (PQLs)
- Oversee the seamless integration of data products into the daily workflows of stakeholders, ensuring insights are delivered where they work (Slack, CRM, Wiki/Docs, Tableau, email, etc.)
- Create documentation, dashboards, reports, and executive summaries for your data products
- Partner with Sales, Marketing, Enterprise Technology, Product, and Ops teams to bring relevant data science products to life
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
- 7+ years in Data Science/ML, with a proven track record in a GTM or Growth environment (SaaS experience preferred)
- 5+ years of experience with Applied Statistics/Machine Learning or experimentation (i.e. A/B testing) in an industry setting
- Expert-level proficiency in Python/R, SQL, and modern ML frameworks (Scikit-learn, XGBoost, PyTorch, or TensorFlow)
- Experience deploying models into production environments and building scalable data pipelines (Airflow, dbt, Spark)
- Experience initiating and driving projects which leverage Generative AI capabilities to drive productivity and efficiency, preferably in a product or technology organization
- Strong understanding of GTM metrics: CAC, LTV, ARR, ARPU, Pipeline Velocity, Lead-to-Close ratios, etc.
- The ability to explain a gradient-boosted tree to a Sales Director and a business strategy to a Data Engineer with equal clarity
Desired
- A degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)
- Masters preferred but not required
- 5+ years of experience doing quantitative analysis at a technology company, consulting firm, investment bank, or product management firm
Location
- This role will be remote and based in the USA.
- This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA.
- This role will be remote, but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 5% travel is anticipated to help you connect in-person in a meaningful way.
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.
