Senior Product Manager

Seismic

. Lead Adaptive Training and Continuous Learning strategic themes .

Posted 10/30/2026full-timeRemote • United StatesSenior💰 $160,000 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management with a focus on building user-facing products, particularly in AI and learning technologies. Capable of aligning cross-functional teams and driving measurable outcomes through strategic planning and data analysis.

Highest-signal resume keywords

Product Management ExperienceAI Product DevelopmentData AnalysisUser-Facing Product StrategyCross-Functional Team Alignment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product ManagementData AnalysisSpecifications DraftingUser Experience DesignAI IntegrationLearning Product DevelopmentOutcome MeasurementTechnical FluencyMicro-Learning ImplementationAgile Methodologies

Soft Skills

CuriosityCommunicationCollaborationAdaptabilityLeadership

Tools & Technologies

AI ToolsPrototyping SoftwareTraining Management SystemsLearning Management SystemsCollaboration Platforms

Certifications & Qualifications

Bachelor's Degree

Industry Keywords

B2BB2CAdaptive TrainingContinuous LearningPerformance MetricsSpaced ReinforcementMastery LearningCoachingAgent HarnessesTrustworthy AI

About the role

Key responsibilities & impact

Lead Adaptive Training and Continuous Learning strategic themes
Set strategy and roadmap, choose durable-value bets, shape packaging and pricing, and own adoption, retention, and revenue outcomes
Create agentic training authoring and training management for enablement teams
Enable adaptive training so representatives focus on unmet learning needs
Bring learning into the flow of work through micro-learning, training-grounded answers, and peer examples
Connect learning to performance using deal, meeting, and skill signals
Conduct weekly customer conversations with enablement leaders, sellers, and managers
Run discovery with design and research and communicate findings to the team
Ship measurable increments with engineering, including evaluations and quality standards for trustworthy AI features
Partner closely with other product managers

Requirements

What you’ll need

5+ years of product management experience building user-facing products (B2B or B2C)
Fluency in discovery, specifications, prioritization, and launch
Daily use of AI to synthesize research, prototype, draft specifications, or analyze data, with specific recent examples
Business owner's mindset focused on outcomes, unit economics, durable value, success metrics, data analysis, and course correction
Technical fluency sufficient for credible conversations with engineers about LLMs, agent harnesses, data, and design tradeoffs
Ability to form a clear plan from ambiguity and align engineering, design, marketing, sales, and customer success
Comfort working with distributed teams across time zones, including occasional early or late meetings
Bachelor's degree or equivalent experience
Shipped AI products such as agents, copilots, or AI-powered features is a bonus
Experience building learning products is a bonus
Curiosity about spaced reinforcement, mastery learning, coaching, and practice is a bonus

Benefits

Comp & perks

Benefits and perks for the whole self, varying by country
Incentive plan eligibility in addition to base salary
Reasonable accommodation available during the application or recruiting process