Lead Product Manager, AI Agents

Jobgether; United States; A distancia; USD 170.000 - 225.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Equity

Healthcare

Remote work

Flexible PTO

High-impact ownership

Descripción de la vacante

Jobgether is seeking a proven product leader to own the AI-powered experiences that drive service quality and retention in a large-scale marketplace. You will shape the AI product roadmap, collaborate with engineering and design, and deliver autonomous AI-enabled workflows that improve both consumer and service professional experiences.

The role requires hands-on experience with production chatbots and evaluating AI performance, with a focus on safety guardrails and scalable QA processes.

Formación

• At least 6 years of product management experience, with 3+ years launching AI products.
• Experience managing consumer-facing products in B2C/B2B environments.
• Hands-on experience with production chatbots or conversational AI systems.

Responsabilidades

• Own end-to-end AI product direction to improve service quality, efficiency and retention in the marketplace.
• Lead development of conversational AI experiences that complete real-world tasks (booking, rescheduling).
• Design escalation processes between AI and human support while preserving context.

Conocimientos

Product management

AI product strategy

Cross-functional leadership

Data-driven prioritization

Problem solving

Educación

Bachelor's degree

Descripción del empleo

Accountabilities

You will own the end-to-end product direction for AI-powered interactions, ensuring that intelligent experiences improve service quality, operational efficiency, and retention for both sides of the marketplace. Your responsibilities will include:

• - Define and own the AI product roadmap, prioritizing consumer and service professional experiences based on business impact, user needs, and technical feasibility.
• - Lead the development of conversational AI experiences that answer customer questions and complete real-world tasks, including booking, skipping, and rescheduling services.
• - Own AI-powered experiences within the service professionals' mobile application, helping providers manage their work and reduce administrative effort.
• - Integrate agentic capabilities into existing consumer and professional workflows so AI can take meaningful actions beyond traditional chat interfaces.
• - Shape customer-to-professional messaging experiences and improve communication between both sides of the marketplace.
• - Design effective escalation and handoff processes between AI assistants and human support teams, ensuring conversations retain their context and customers do not need to repeat information.
• - Define how external AI agents, including platforms such as ChatGPT and Claude, can interact with the marketplace on behalf of customers while preserving user control and appropriate permissions.
• - Establish evaluation frameworks, quality benchmarks, and testing processes to measure AI performance, identify failure patterns, and determine when experiences are ready for release.
• - Design safety guardrails and action controls that determine when AI can act independently, when user confirmation is required, and how errors should be handled.
• - Analyze conversation transcripts, user feedback, and performance data to identify opportunities for improvement and continuously refine AI experiences.
• - Collaborate with engineering, applied science, design, data, customer service, and operations teams to deliver reliable solutions across existing product surfaces.
• - Account for the broader marketplace impact of product decisions, including implications for customers, service professionals, pricing, and operations.
• - Measure success through AI resolution rates, customer satisfaction, action accuracy, professional productivity, and consumer and provider retention.

Requirements

The ideal candidate is an experienced product leader who has launched AI-powered products used by real customers and understands the complexity of deploying autonomous systems in live environments. You should combine strong product judgment, technical fluency, data-driven prioritization, and a hands-on approach to quality and execution.

• - At least 6 years of product management experience, including a minimum of 3 years launching AI products for internal or external users.
• - Experience managing consumer-facing products, supported by a bachelor's degree in business, analytics, engineering, design, or a related discipline, or equivalent practical experience.
• - Proven track record of launching AI products used by real end users in B2C, B2B, or B2B2C environments.
• - Hands-on experience launching and managing production chatbots or conversational AI systems, beyond prototypes, demonstrations, or basic prompt-based implementations.
• - Ability to analyze conversation transcripts, identify interaction failures, and translate findings into product improvements.
• - Practical experience designing and writing AI evaluations (evals), defining quality benchmarks, and determining whether an AI experience is ready for production.
• - Strong understanding of AI agents and tool use, including the implications of allowing AI systems to execute actions within real-world applications and workflows.
• - Ability to design appropriate safeguards, permissions, confirmation steps, and error-handling processes for autonomous actions.
• - Strong data-driven product strategy skills, with the ability to prioritize initiatives, justify trade-offs, and make decisions based on measurable evidence.
• - Systems-thinking mindset, with the ability to anticipate the wider effects of product changes across interconnected users, pricing, and operations.
• - Experience in marketplace products is beneficial, particularly where changes affecting one user group have consequences for another.
• - Strong cross-functional collaboration and communication skills, with the ability to lead through influence rather than direct people management.
• - Comfort working independently in a lean environment, including building evaluation frameworks and product standards from the ground up.
• - Willingness to work hands-on across product strategy, specifications, testing, quality analysis, and execution rather than operating solely at a strategic level.

Benefits

• - Competitive base salary: $170,000–$225,000 per year.
• - Equity: Opportunity to share in the long-term value created through the company's AI-driven growth.
• - Healthcare coverage: Medical, dental, and vision insurance.
• - Fully remote work: Remote position available across the United States.
• - Flexible paid time off: Flexible PTO policy focused on results and individual needs.
• - High-impact ownership: Opportunity to lead the development of core AI experiences and establish the foundations for future AI-powered products.