The role involves defining the vision and strategy of the Outreach AI Platform, prioritizing the roadmap, collaborating with engineering and data science teams, and engaging with customers to refine AI strategies.
About Outreach
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.
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
Our Vision Of You:
- 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
Preferred Qualifications:
- Experience building products for GTM teams – Sales, Marketing, Customer Success
- Bachelor’s degree; MBA or related graduate degree preferred
Why You’ll Love It Here
• 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
Outreach is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
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.
Similar Jobs
.png)
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Lead strategy and delivery of AI-powered, agentic product features for a SaaS insurance platform. Define roadmaps, KPIs, ROI, and success criteria; collaborate with engineering and data science to prototype, test, and launch; drive adoption, mentor junior PMs, and align cross-functional teams from discovery through GTM.
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead strategy, roadmap, and delivery of AI-enabled automation for middle revenue cycle workflows. Partner with engineering, data science, design, and operations to define requirements, deploy models, measure outcomes, and drive adoption to reduce manual effort and improve financial and operational performance.
Top Skills:
AgileAIAnalyticsAutomationData ScienceMachine Learning
Big Data • Cloud • Hardware • Software • App development
Lead AI product vision and roadmap to deploy enterprise copilots, workflow agents, and automation. Identify and prioritize use cases, run POCs, scale solutions, measure adoption and ROI, ensure governance and security, and drive cross-functional delivery with PMO, engineering, and business stakeholders.
Top Skills:
Azure AiCopilot Agent ModeData PlatformsIntelligent Document ProcessingM365 GraphMicrosoft CopilotPower AutomateWorkflow Agents
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
