P&L Lead - AI/Voice AI

P&L Lead - AI/ Voice AI

Key Responsibilities:

- Own the overall business performance and P&L for the assigned portfolio, balancing revenue growth, customer outcomes, delivery quality, and operational efficiency.

- Conduct feasibility and commercial analysis before onboarding new customers, ensuring strong customer-product fit, scalable solution design, and a clear path to successful deployment and profitability.

- Lead and build a high-performing team of AI Agent Product Managers, while working closely with Product, Engineering, Forward Deployment Engineers (FDEs), Sales, and other cross-functional teams.

- Own end-to-end solutioning for enterprise customers by deeply understanding their business objectives, operational challenges, and success metrics, and translating them into scalable AI and Voice AI deployments.

- Take accountability for the complete customer lifecyclefrom pre-sales feasibility and solution design to onboarding, implementation, go-live, stabilization, adoption, retention, and expansion.

- Drive revenue growth across the portfolio by ensuring strong account health, adoption, retention, renewals, and expansion opportunities.

- Own delivery performance and unit economics, identifying opportunities to improve operational efficiency, scalability, margins, and overall business performance.

- Own the operating cadence for the business, including internal and external reporting, forecasting, portfolio reviews, customer health, revenue performance, delivery metrics, and key business KPIs.

Requirements:

- 8+ years of relevant experience across Product, Business, P&L Management, Enterprise Implementation, Customer Success, Operations, or Product-led Delivery, preferably in high-growth technology, SaaS, or AI environments.

- Demonstrated experience owning or significantly influencing business outcomes, including revenue, account growth, operational efficiency, margins, or P&L metrics.

- Strong experience managing complex enterprise customers and navigating multiple internal and external stakeholders.

- Strong commercial and business acumen, with the ability to connect customer outcomes, operational execution, and financial performance.

- Strong technical orientation and comfort working closely with Product and Engineering teams on complex, large-scale technology or AI deployments.

- Ability to balance strategic thinking with hands-on execution and make decisions in fast-moving, ambiguous environments.

- Excellent communication, executive presence, and relationship-building skills, particularly with senior customer and internal stakeholders.

- Strong problem-solving and analytical skills, with the ability to use data to identify opportunities, diagnose issues, and drive business decisions.

- High ownership and entrepreneurial mindset, with the ability to build systems, teams, and scalable operating models from the ground up.