Lead Product Manager, Agentic Personalization
New
J
JobgetherAI personalization
Based in United StatesFull-TimeLead
Salary$240,000–$320,000 USD
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Job Details
- Required Skills
- Artificial IntelligenceMachine Learning
Requirements
- Demonstrated zero-to-one product management experience, taking products from initial concept to meaningful revenue or adoption.
- B2B SaaS product experience is preferred.
- Strong technical depth to evaluate architecture and infrastructure trade-offs at the product level.
- Ability to assess real-time versus batch processing and caching strategies.
- Strong commercial judgment connecting product roadmaps to pipeline generation, conversion, expansion, and revenue targets.
- Experience working effectively in small, autonomous teams with evolving priorities and significant product ownership.
- Strong customer discovery and product-market-fit skills, including turning ambiguous customer problems into clear product opportunities.
- Experience with AI, machine learning, automation, or agent-based products is highly valuable.
- Ability to build trust and lead across engineering, design, sales, customer success, and executive teams.
- Excellent communication, strategic thinking, and decision-making skills, particularly when balancing automation with human oversight.
- A hands-on, adaptable approach and willingness to use AI extensively to accelerate product discovery, execution, and decision-making.
Responsibilities
- Define the product vision, strategy, roadmap, and sequencing for an AI-powered personalization platform from concept through product-market fit and scale.
- Conduct customer discovery with enterprise product and growth teams to identify personalization workflows, pain points, trust requirements, and automation opportunities.
- Translate customer insights into a focused roadmap tied to measurable revenue and business milestones.
- Design agent workflows that determine which activities can be autonomous and which require human approval.
- Develop feedback and learning loops to improve agent performance, reliability, and customer trust.
- Partner with engineering and design on product decisions involving real-time data, infrastructure, caching, experimentation, and technical trade-offs.
- Co-own go-to-market activities, including pipeline development, customer conversations, competitive positioning, and product messaging.
- Work with customer success to create implementation playbooks and support successful customer adoption and scale.
- Collaborate with engineering, design, sales, customer success, and executive leadership to maintain clarity and execution speed.
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