Staff Product Manager - Enterprise AI

Responsibilities

Product Strategy & Roadmap

• 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.

GTM AI Capabilities

• 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).

Corporate Functions AI Capabilities

• 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).

Platform Integration & Execution

• 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.

Stakeholder Management & Adoption

• 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.

Qualifications

Required

• 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

Desired

• 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