Product Manager, Voice Intelligence

HubSpot

23h•Hybrid

About The Position

Our mission at HubSpot is to help millions of organizations grow better. Voice is one of the highest-intent and most human channels for sales and service teams—and one of the most under-automated. As Product Manager for Voice Intelligence, you’ll shape HubSpot’s real-time, AI-powered voice platform, enabling intelligent agents, actionable insights, and trusted automation across Service Hub, Sales Hub, and future AI-first experiences. This role sits within HubSpot’s Omnichannel Product Group, focused on how customers and teams connect across voice and other real-time channels. You’ll help define voice as a first-class, AI-powered capability—balancing customer needs, business goals, and data to deliver reliable, compliant, and high-impact experiences. You’re looking for a role that challenges and excites you—an environment that supports and energizes you, and a team that solves real customer problems with autonomy and drive. You care deeply about building products that earn customer trust, value collaboration with UX and Engineering, and want your work to have visible impact. You bring a customer-first mindset, use data to inform decisions, and are comfortable navigating ambiguity. You value clear expectations, growth opportunities, and a culture where your voice, perspective, and authentic self are welcomed.

Requirements

Experience launching products successfully to customers, with demonstrated, landed impact.
A multidisciplinary approach that blends market, business, and technical thinking to identify opportunities and weigh tradeoffs.
Hands-on product experience with voice or communications systems (e.g., calling platforms, IVR, real-time media, conversational AI).
Experience partnering closely with design and engineering teams on a regular basis.
Ability to work deeply with engineering on event-driven systems, real-time pipelines, monitoring, and API design.
Strong instincts for platform thinking, structured data, and reusable frameworks.
A deep respect for the expertise of collaborators across engineering, design, UX research, analytics, and other disciplines.
Excellent communication and influencing skills, with the ability to articulate product vision to a variety of audiences.
A strong drive to deeply understand customer needs and solve real problems.
Comfort making decisions, testing assumptions, and iterating without perfect information.
Demonstrated ability to adapt in a fast-paced, innovative environment.
Understanding of the competitive software landscape.

Nice To Haves

Experience building or scaling AI agents that interact directly with end customers.
Familiarity with global voice compliance considerations (e.g., call recording consent, regional regulations).
Background in conversation intelligence, real-time assist tools, or human-AI interaction design.
Experience supporting platform products used by multiple internal teams.

Responsibilities

Create a shared vision and cohesive roadmap for HubSpot’s Voice Intelligence platform as a core member of the Product Triad (Product, UX, Engineering).
Drive alignment, set goals, and motivate cross-functional partners across the company.
Lead the development of AI-powered voice agents that execute real business actions such as qualification, scheduling, routing, and CRM updates with high reliability.
Own the real-time intelligence layer that extracts, structures, and surfaces contextual call data during live conversations.
Enable in-the-moment assist, coaching, sentiment analysis, and post-call insights across Service Hub and Sales Hub.
Establish standards for voice reliability, compliance, monitoring, and transparency to ensure customer trust at scale.
Partner closely with teams across Customer Agent, AI Platform, Conversation Intelligence, Sales, Service, Customer Success, and CRM.
Define and evolve APIs and reusable frameworks that enable other HubSpot teams to build voice-powered experiences.
Engage directly with customers to understand their journeys and workflows, using insights and data to reduce manual work and improve rep performance.
Guide new product ideas from initial concept through launch, iteration, and adoption.