AI Product Manager

AST SpaceMobile

. Own the post-launch product lifecycle for the AI division's released applications, including enhancements, defects, retirements, and roadmap management .

Posted 10/14/2026full-timeUnited StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management, particularly in the post-launch lifecycle of AI applications, with a strong focus on user documentation, support models, and operational transitions. Proficient in defining success metrics and collaborating with engineering and IT teams to enhance product performance and user satisfaction.

Highest-signal resume keywords

Product Management ExperienceUser Documentation CreationAI/ML Product FluencySupport Model DevelopmentAnalytical Skills with SQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product AnalyticsSQLAgile MethodologyUser Story DevelopmentAcceptance Criteria DefinitionIncident ManagementChange ManagementTroubleshooting Content CreationService Metrics DefinitionDocumentation Information Architecture

Soft Skills

Analytical SkillsCollaborationCommunicationProblem-SolvingCustomer Focus

Tools & Technologies

NOCSREHelp Desk SystemsKnowledge BasesUsage AnalyticsOnboarding MaterialsSupport WorkflowsRunbooksSOPsDashboards

Industry Keywords

AIMLProduct Lifecycle ManagementOperational TransitionSelf-Service Support ModelUser Satisfaction MetricsTechnical DocumentationApplication SupportEscalation PathsService Catalogs

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Own the post-launch product lifecycle for the AI division's released applications, including enhancements, defects, retirements, and roadmap management
Translate user needs into requirements, user stories, and acceptance criteria with full-stack, ML, and data science engineering teams
Conduct discovery with internal customers through interviews, floor-side shadowing, and usage analytics
Define and report product success metrics such as adoption, active usage, task completion, support volume, and satisfaction
Own release readiness, including release notes, user documentation, known-issues lists, and support plans
Write and maintain end-user documentation, onboarding guidance, troubleshooting libraries, and remediation content
Partner with engineering to make errors instrumented, human-readable, and traceable
Co-own application support with Corporate IT, including tiering, escalation paths, runbooks, triage scripts, and help-desk training
Serve as escalation point for unresolved internal customer issues and coordinate root-cause fixes
Support the Chief of AI and Autonomy with the transition roadmap from engineering support to steady-state operations
Define production monitoring and support with factory NOC staff, including service catalogs, dashboards, alerting, on-call rotations, and escalation paths
Establish application, model, infrastructure, and network ownership using RACI
Prepare NOC runbooks, SOPs, incident playbooks, transition-readiness reviews, and tabletop exercises
Implement incident, problem, and change-management practices
Analyze support tickets and self-help usage to reduce recurring failures and ticket volume
Establish service metrics including first-contact resolution, time-to-resolution, self-service deflection, documentation coverage, and user satisfaction
Own documentation information architecture, style guide, templates, review cadence, and version control
Run release enablement through launch communications, training, office hours, and champion networks
Support partner-facing AI features with documentation, onboarding materials, and support workflows

Requirements

What you’ll need

Bachelor's degree in a technical, business, or communications field, or equivalent experience
3–5 years of product management experience, including at least 1 year owning software already in production and used daily
Personally written user guides, release notes, and help content
Experience building or running a self-service support model, including knowledge bases, troubleshooting content, tiering, escalation, and success metrics
Working fluency with AI/ML-powered products, including model behavior, inference, latency, confidence scores, and failure modes
Experience partnering with IT or help desk organizations on application support, onboarding, access, and permissions workflows
Experience contributing to an operational transition from a build team into NOC, SRE, or managed operations
Strong analytical skills and proficiency with product analytics, support data, and SQL or equivalent
Experience in an agile engineering environment with remote and on-site teams
Ability to lift up to 25 lbs
Ability to use a computer for extended periods
Ability to work in a standard office environment
Occasional travel to Midland, TX and Lanham, MD

Benefits

Comp & perks

Equal Opportunity, at-will employment
Occasional travel to Midland, TX and Lanham, MD to work alongside users
Ability to work in a standard office environment with occasional manufacturing-floor and operations-environment visits