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Twilio is seeking an intensely curious Staff Product Manager to lead the evolution of our Core Commerce Platform into a highly productized, extensible engine that powers Twilio's global revenue. You won't just be managing a billing system; you will be architecting a standardized platform-as-a-service that enables internal application teams to launch, price, and scale their products with zero friction. This platform is the source of truth for the entire quote-to-cash lifecycle—responsible for high-throughput metering, complex real-time rating, and the generation of clear, accurate invoices that reinforce customer trust.
Job Responsibility:
Master Commerce Domains: Leverage deep expertise in catalog management, subscriptions, billing, invoicing, revenue recognition, and tax compliance to build robust, scalable financial systems
Define Platform Strategy: Architect the roadmap for a "commerce-as-a-service" model by developing primitives (metering, rating, and entitlement APIs) that enable internal teams to launch products with minimal bespoke engineering
Enable Internal Tenants: Treat Twilio's internal product and operations teams as primary customers by designing the self-service tools, SDKs, and documentation necessary for independent onboarding to the platform
Ensure Usage Fidelity: Own the "event-to-invoice" data lifecycle by architecting systems that transform high-volume usage data into transparent invoices, ensuring rating logic is perfectly mirrored in customer dashboards
Productize Compliance: Partner with Finance, Compliance, and Accounting to build automated revenue recognition and geography-aware tax hooks into the platform core to ensure every transaction is audit-ready by default
Champion Accuracy & Trust: Drive platform initiatives that provide customers with granular visibility into their usage, reducing billing inquiries and fostering long-term trust through financial integrity
Bridge Cross-Functional Gaps: Act as the strategic link between Engineering, Finance, and GTM by translating complex financial requirements into scalable technical specifications and communicating platform guardrails early
Integrate AI Capabilities: Embed AI into the commerce platform, such as, billing optimization, anomaly detection, rating logic, and automating internal administrative and reporting activities
Lead Forensic Discovery: Conduct deep-dive investigations into the most complex parts of the commerce lifecycle, untangling legacy systems and technical debt to provide the organization with clear paths forward
Embed Data-Driven Decisioning: Drive system reliability and business outcomes by using analytics to guide prioritization and fostering a culture of continuous experimentation and learning
Technical Mentorship: While an individual contributor role, you will "raise the bar" for the PM org, mentoring PMs on technical product discovery, tracking communication and execution
Requirements:
8+ years of industry experience
5+ years of Product Management experience, with at least 3 years focused on commerce, billing, or financial platforms at scale
Demonstrated ability to lead complex cross-functional initiatives across engineering, finance, risk, and operations
Strong technical acumen with experience in APIs, extensible platforms, and complex system design
Data-driven decision maker with a track record of defining KPIs and measuring platform success
Excellent communication and executive-level stakeholder management skills
Experience with SaaS, large-scale platforms, or multi-product ecosystems
Deep experience with Agile and related agile tooling, such as, Jira
Bachelor's degree or equivalent experience
Nice to have:
Platform Leadership: Previous leadership of platform migrations or unification efforts
ERP & Financial Integration: Experience integrating core billing engines with downstream financial systems like NetSuite, SAP, or Workday for automated revenue recognition
Global Tax Compliance: Familiarity with global tax engines (e.g., Avalara, Vertex) and the regulatory requirements of "Invoiced Billing" in international markets (VAT, GST, etc.)
AI/ML Product Literacy: Experience identifying and implementing AI-driven solutions for financial or data-heavy domains, such as predictive revenue forecasting, automated discrepancy resolution, or LLM-integrated developer documentation
SaaS/CPQ Knowledge: Familiarity with the "Quote-to-Cash" ecosystem, including CPQ (Configure, Price, Quote) tools and how they interface with a core catalog