Staff Product Manager - Enterprise AI

Twilio

3d•Remote

About The Position

Twilio is undergoing a major business transformation powered by Enterprise AI, supported by a dedicated engineering team building the foundations for a unified, secure, and scalable operating system across GTM functions (Sales, Support, Operations, etc.) as well as Internal non-GTM corporate functions (Finance, HR, Legal, etc.). Our platform is designed to support a multitude of business functions by deploying intelligent agentic solutions that automate complex workflows and deliver unprecedented user experiences. We're building the future of work at Twilio, and this role offers the opportunity to be at the forefront of enterprise AI innovation. As Staff Product Manager for Enterprise AI, you will lead the product strategy and execution for AI-powered solutions across both GTM and Corporate Functions. You'll build intelligent agents, automation workflows, and operational tools that transform how Twilio works across Sales, Support, Operations, Finance, Legal, and HR - from sales productivity and customer support efficiency to financial operations, legal contract management, and HR processes. You will be responsible for understanding the unique workflows, pain points, and opportunities across these diverse business functions, then designing and delivering AI-powered products that drive measurable business impact. This includes everything from AI assistants that help sales teams close deals faster, to support agents that deflect cases and accelerate resolution, to compliance tools that automate manual investigations, to financial automation that streamlines invoice processing, to legal tools that accelerate contract review, and HR agents that streamline recruiting and onboarding. You'll work closely with GTM and Corporate Function leaders, operations teams, engineering, data science, and AI/ML teams to deliver a cohesive product vision that scales across multiple use cases while leveraging our unified Enterprise AI platform.

Requirements

7+ years of product management experience at fast-paced technology companies, with at least 3 years in GTM functions (sales operations, customer support, compliance/risk operations) and/or Corporate Functions (finance operations, legal tech, HR tech)
Deep understanding of at least two of the following domains: sales workflows and CRM systems, customer support operations and help desk platforms, compliance/risk operations and fraud detection systems, financial operations and ERP systems, legal operations and contract lifecycle management, HR operations and human capital management systems
Proven ability to build products that serve diverse user personas and use cases within a unified platform strategy
Strong technical fluency with AI/ML concepts, agentic systems, workflow automation, and conversational AI
Proficiency with SQL and ability to extract, analyze, and interpret data independently to inform product decisions
Excellent stakeholder management skills with experience influencing senior leaders and driving cross-functional alignment
Demonstrated success delivering measurable business impact through product innovation and operational efficiency
Bachelor's degree or equivalent experience

Nice To Haves

Experience with AI-powered sales tools, support automation platforms, compliance/risk management systems, finance tools, legal tech platforms, or HR automation systems
Knowledge of enterprise platforms including Salesforce, Zendesk, Workday, and other enterprise systems
Familiarity with sales methodologies (MEDDPICC, etc.), support best practices (ITIL), operational excellence frameworks, finance best practices (financial close, procurement, FP&A), legal operations (contract management, matter management), and HR processes (recruiting, onboarding, HRIS administration)
Background in building internal tools, operational dashboards, or productivity platforms for business functions
Experience with recommendation systems, predictive analytics, ML-driven insights, document processing, intelligent document understanding, or knowledge management systems
Track record of driving adoption of new products across large, distributed teams

Responsibilities

Define and execute the product roadmap for Enterprise AI spanning GTM functions (Sales, Support, Operations) and Corporate Functions (Finance, Legal, HR). Establish clear priorities, milestones, and success metrics that align with business objectives and drive measurable improvements.
Lead cross-functional product development across multiple business domains, balancing the needs of diverse stakeholders within a unified platform strategy.
Build AI-powered solutions across Sales, Support, and Operations functions that drive measurable GTM improvements. This includes sales productivity tools (intelligent account insights, opportunity management, propensity-to-buy signals, automated CRM workflows), support automation (case deflection, intelligent triage, agent assistance, knowledge retrieval), and compliance/risk operations (automated user vetting, fraud detection, compliance investigation dashboards, workflow orchestration for onboarding and audits).
Build AI-powered solutions across Finance, Legal, and HR functions that transform operational efficiency. This includes financial automation (invoice/billing processing, expense management, automated reconciliation, forecasting and analytics), legal operations (contract review and generation, clause extraction, compliance tracking, risk assessment tools), and HR productivity (recruiting automation, candidate screening, onboarding workflows, employee self-service, benefits administration).
Leverage the Enterprise AI platform to build agentic solutions using multi-agent architecture, knowledge retrieval, workflow automation, and LLM-powered reasoning tailored to each business function.
Integrate with enterprise systems including Salesforce, Zendesk, Workday, NetSuite, DocuSign, compliance platforms (Sift, etc.), contract management platforms, HRIS systems, and internal Twilio tools to deliver seamless, embedded AI experiences.
Partner with Engineering, Data Science, and AI/ML teams to operationalize models, build production-grade products, and ensure scalability, reliability, and performance across all use cases.
Collaborate with business leaders across GTM and Corporate Functions to understand their strategic priorities, operational challenges, and success metrics. Translate these into product requirements and clear roadmaps.
Drive adoption and enablement by working directly with end users, training teams on new AI capabilities, gathering feedback, and iterating on product experiences.
Measure and communicate impact through clear metrics on productivity gains, efficiency improvements, cost savings, and business outcomes driven by AI products.