Outreach

Senior Product Manager, AI

Outreach$165K — $225K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of enterprise product management experience with end-to-end ownership.
  • Experience launching AI or data products with LLM capabilities.
  • Strong technical skills in modern AI stacks and workflows.
  • Ability to collaborate with data scientists and ML engineers to deliver production-ready models.
  • Understanding of AI governance, privacy, and compliance principles.
  • Skill in simplifying complex AI features for product users.
  • Analytical ability for data-driven decision making and problem solving.

Responsibilities

  • Own the vision and strategy for the Outreach AI Platform.
  • Define and prioritize the platform roadmap in alignment with business units.
  • Collaborate with engineering, data science, and design teams for core component development.
  • Drive feature development from inception to launch and iteration.
  • Work with marketing and finance on monetization strategies.
  • Establish and monitor metrics for platform performance and business impact.
  • Engage customers and conduct market research to refine the AI strategy.

Benefits

  • Incentive compensation and bonuses available.
  • Potential for restricted stock units.
  • Comprehensive benefits package offered.
Full Job Description
Outreach AI Revenue Workflow Platform is the only end-to-end sales solution to forecast, coach, close deals, renew, expand, and build pipeline. In this role, you will own the vision, strategy, and executionof the AI Platform that will powerthe future ofgrowth atOutreach.

In this role you can expect to:
    • Own 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


Basic Qualifications:
    • 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.


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


$165,000 - $225,000 a year

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.

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.

About Outreach

Outreach is a sales engagement platform that accelerates revenue growth by optimizing interactions throughout the customer lifecycle. The platform manages all customer interactions across email, voice and social, and leverages machine learning to guide reps to take the right actions. Outreach has over 4,000 customers including Cloudera, Adobe, and Glassdoor, and was named to the Forbes Cloud 100 list in 2019 and 2020.
Learn more about Outreach
Size
1,000 employees
Industry
Founded
2011

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