
Head of AI – Product Leader
Glia
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- Own strategy, vision, and roadmap for Glia’s AI portfolio (Customer AI), aligning product, engineering, and data science around measurable outcomes.
- Lead development of a vertical AI strategy for financial services, balancing innovation with trust, safety, and enterprise readiness.
- Drive product direction across AI capabilities such as:
- - Workflow automation / agentic AI for customer service and operations
- - Customer-facing and internal-facing AI agents
- - Analytics, measurement, and performance tooling (quality, containment, deflection, risk, accuracy)
- Partner deeply with Engineering, Data Science, Product Marketing, and GTM to ensure AI products are adoptable, differentiated, and deliver real business value.
- Establish product mechanisms for evaluation, iteration, and reliability (e.g., how we measure success, reduce failure modes, and ship improvements continuously).
- Help evolve Glia’s AI posture across build vs. partner, leveraging Glia’s investments (including proprietary capabilities) while staying current with the broader ecosystem.
- Influence org design and longer-term scope—potentially helping unify adjacent AI areas under a cohesive product strategy, depending on level and experience.
- Represent AI strategy with executive stakeholders and serve as a key voice in company-wide prioritization and strategic planning.
Requirements
- 10+ years in Product Management, including leadership of product leaders/managers (Director+), ideally in B2B SaaS.
- Demonstrated experience productizing AI/ML systems in production, with strong exposure to GenAI and/or agentic workflows (not just “interest in AI”).
- Strong preference for candidates who come from one of these paths:
- - AI-focused product leadership at a conversational AI / customer service AI company (e.g., chatbot/voice automation/agent assist space), or
- - Platform/service product leadership where AI was shipped as a capability layer (not just UI features).
- Ability to operate at the “second layer down”:
- - Understands model behavior, quality/eval concepts, feedback loops, orchestration patterns, and real-world deployment constraints.
- Proven ability to lead in complex, cross-functional environments with ambiguity—setting direction, making tradeoffs, and aligning stakeholders.
- Executive-level communication: can clearly articulate strategy, risks, and rationale to C-suite, technical leaders, and GTM teams.
- Experience building in or for regulated / high-trust industries (financial services a strong plus).
Benefits
- Health insurance
- 401(k) matching
- Flexible working hours
- Paid time off
- Remote work options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Product ManagementAI portfolio strategyAI/ML systems productizationWorkflow automationAgentic AIAnalyticsPerformance toolingModel behavior understandingFeedback loopsOrchestration patterns
Soft Skills
LeadershipCross-functional collaborationExecutive-level communicationStrategic planningStakeholder alignmentDirection settingTradeoff makingAdaptability in ambiguity