Senior Product Manager, AI

Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few.

About Us

Outreach is redefining the future of revenue with the industry’s leading AI Revenue Workflow Platform. We are a leader in the Revenue Orchestration category - unifying prospecting, deal execution, forecasting, and renewals into a single, intelligent system of action. Our platform is powered by AI Agents that remove the busywork, surface the right insights at the right time, and enable revenue teams to focus on what matters most: building meaningful relationships and winning more.

At the heart of Outreach is a scalable, enterprise-grade platform — one that integrates deeply with the systems companies already rely on, enforces trust and governance, and delivers reliability at global scale.

As we continue to expand our leadership position, we’re seeking a Head of Product for AI & Platform — a visionary leader who will shape the next chapter of our AI innovation while strengthening the foundation that makes Outreach the trusted platform for revenue organizations.

About The Role

Being part of our AI Platform, you’ll help own strategy and execution for how Outreach powers the AI Revenue Workflow Platform. You’ll drive the vision, scale the platform, and turn cutting-edge AI into intuitive, high-impact product experiences for enterprise customers.

Your Daily Adventures Will Include

• Drive the vision and strategy for Outreach AI Platform that powers intelligent workflows across the product suite.
• Define and prioritize the platform roadmap, aligning with business units as they build domain-specific AI capabilities on the shared foundation.
• Partner with engineering, data science, and product design to deliver core AI platform components
• Drive feature development from requirements through launch, documentation, and iteration.
• Collaborate with marketing and finance on pricing and monetization
• Establish and track key metrics for platform performance, adoption, model quality, and business impact.
• Engage with customers and conduct market research to refine the AI strategy

• 5 or more years of enterprise product management experience with end to end ownership of prioritization, delivery, and go to market.
• Experience launching AI or Data products with LLM powered capabilities, copilots or agentic workflows.
• Strong technical aptitude with fluency in modern AI stacks including model integration, context orchestration, embeddings, prompt design, guardrails, and evaluation frameworks.
• Proven ability to work closely with data scientists, ML engineers, and platform teams to take models from experimentation to production
• Clear understanding of AI governance, privacy, compliance, and responsible AI principles required for enterprise readiness.
• Demonstrated skill in translating complex AI capabilities into simple product experiences and measurable customer value.
• Strong analytical capabilities including business case development, data informed decision making, and clear problem solving.
• Ability to set long term platform strategy while driving meaningful short term product impact in fast paced environment.
• Excellent cross functional communication and collaboration skills, with experience influencing engineering, design, and GTM partners.
• Experience working in high-growth, fast-paced environments; startup leadership experience preferred.
• Comfortable navigating ambiguity, balancing competing priorities, and making high-impact decisions quickly

• Experience building products for GTM teams - Sales, Marketing, Customer Success
• Bachelor’s degree; MBA or related graduate degree preferred

• Flexible time off
• 401k to help you save for the future
• Generous medical, dental, and vision coverage for full-time employees and their dependents
• A parental leave program that includes options for a paid night nurse, and a gradual return to work
• Infertility/ assisted reproductive services benefit
• Employee referral bonuses to encourage the addition of great new people to the team
• Snacks and beverages in the Office, along with fun events to celebrate
• Diversity and inclusion programs that promote employee resource groups like Outreach Women's Network, Latinx community, Outreach Black Connection, AAPI community, Pride/LGBTQIA+, Gender+, Disability Community, and Veterans/Military

Our success is reliant on building teams that include people from different backgrounds and experiences who can elevate assumptions and ideas with fresh perspectives. We're dedicated to hiring the whole human, not just a resume. To that end, we look for a diverse pool of applicants-including those from historically marginalized groups. We would like to invite you to apply even if you don't think you meet all of the requirements listed below. We don't want a few lines in a job description to get between us and the opportunity to meet you.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The annual base salary range for this role is $165,000-$225,000 USD. You may also be offered incentive compensation, bonus, restricted stock units, and benefits. Actual compensation is based on factors such as the your skills, qualifications, and experience. We also have a location-based compensation structure; there may be a different range for candidates in other locations.