Senior Product Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the strategic themes of Adaptive Training and Continuous Learning.

• Establish the strategy and roadmap, select durable-value bets, craft packaging and pricing, and take ownership of adoption, retention, and revenue outcomes.

• Develop agentic training authoring and training management systems for enablement teams.

• Facilitate adaptive training to ensure representatives concentrate on unmet learning requirements.

• Integrate learning seamlessly into the workflow through micro-learning, training-based answers, and peer examples.

• Link learning to performance by utilizing deal, meeting, and skill signals.

• Conduct weekly discussions with enablement leaders, sellers, and managers.

• Lead discovery sessions with design and research, and relay findings to the team.

• Deliver measurable increments alongside engineering, which include evaluations and quality standards for reliable AI features.

• Collaborate closely with other product managers.

⛳️ Requirements

• Over 5 years of experience in product management, specifically in developing user-facing products (B2B or B2C).

• Proficient in discovery, specifications, prioritization, and product launches.

• Daily engagement with AI for synthesizing research, prototyping, drafting specifications, or analyzing data, with recent specific examples.

• A business owner’s mindset that emphasizes outcomes, unit economics, durable value, success metrics, data analysis, and course corrections.

• Sufficient technical fluency to engage credibly with engineers regarding LLMs, agent harnesses, data, and design trade-offs.

• Capability to create a clear plan amid ambiguity and align engineering, design, marketing, sales, and customer success teams.

• Comfortable collaborating with distributed teams across various time zones, including occasional early or late meetings.

• Bachelor's degree or equivalent experience required.

• Experience in launching AI products such as agents, copilots, or AI-enhanced features is an advantage.

• Previous experience in developing learning products is a plus.

• A curiosity about spaced reinforcement, mastery learning, coaching, and practice is beneficial.

🏝️ Benefits

• Comprehensive benefits and perks tailored to the whole self, varying by country.

• Eligibility for an incentive plan in addition to the base salary.

• Reasonable accommodations available during the application or recruitment process.