Glia Logo

Glia

Head of AI | Product Leader

Posted 7 Days Ago
Remote
2 Locations
Expert/Leader
Remote
2 Locations
Expert/Leader
As the Head of AI, you'll lead product strategy for Glia's AI portfolio, focusing on automation and agent experiences in financial services. Responsibilities include guiding AI product development, partnering across departments, and establishing product evaluation mechanisms.
The summary above was generated by AI

About Glia

Glia is the leading AI customer service solution for banks and credit unions. Our platform unifies AI and human agents across every voice and digital conversation through our proprietary ChannelLess® Architecture. With AI for All™, organizations overcome the tradeoff between efficiency and experience by using AI to automate conversations and elevate service operations.

Valued at over $1 billion and named a Deloitte Technology Fast 500™ company for five consecutive years, Glia powers over 700 financial institutions and maintains an industry-leading 72 NPS. We're also certified as a Great Place to Work, with 98% employee satisfaction.

The Role

We are seeking a Head of AI - Product Leader to lead product strategy and execution for Glia’s AI portfolio (“Customer AI”). This is a high-visibility, highly strategic role reporting to the co-founder, owning the roadmap for AI-powered automation and agent experiences used by some of the most sophisticated financial institutions in the world.

This leader will inherit and evolve an established AI product org (not a “start from zero” mandate). You’ll guide a team building vertical AI for financial services—including AI agents (chat and real-time voice), workflow automation, and the analytics/measurement layer required to deploy AI safely, effectively, and with production-grade reliability in regulated, high-trust environments. This includes addressing the unique latency, orchestration, and real-time performance challenges of conversational voice AI.

We’re looking for a product leader who is deep in the craft: someone who has truly productized AI (GenAI + agentic workflows) and can operate one level beneath the “application layer”—understanding platform/service foundations, evaluation, reliability, and the real constraints of deploying AI into production—particularly in real-time conversational systems where latency, orchestration, and quality tradeoffs directly impact customer experience.

What You'll Do:

  • 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.

Qualifications:

  • 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).

Bonus:

  • Prior experience in conversational AI (chat, voice, agent assist), contact center platforms, or automation ecosystems.

  • Familiarity with enterprise requirements: security, compliance, auditability, and governance for AI.

  • Experience with evaluation frameworks, experimentation systems, and “AI product operations” (tooling + processes that keep AI improving post-launch).

Experience working with proprietary models as well as partner ecosystems (e.g., major model providers), including vendor strategy and tradeoffs.

Glia is an equal-opportunity employer. Glia does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law.

The Glia Talent Acquisition team uses @glia.com and @gliatalent.com email addresses for coordinating interviews, providing updates, and sending documents.

Our hiring process involves an introduction, practical and team interviews, and a decision and offer. For more information, visit our Recruitment Privacy Notice page or contact our talent team via [email protected]

Top Skills

AI
Chatbot
Conversational Ai
Genai
Ml
Voice Automation

Similar Jobs

11 Hours Ago
Easy Apply
Remote or Hybrid
Québec, QC, CAN
Easy Apply
168K-240K Annually
Senior level
168K-240K Annually
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
The Senior Sales Engineer will deliver technical presentations, partner with stakeholders on solution design, lead product evaluations, and guide the sales process to ensure success in technical sales.
Top Skills: CybersecurityDnsFirewallsNetworkingRoutingTcp/IpVpns
11 Hours Ago
Easy Apply
Remote or Hybrid
Vancouver, BC, CAN
Easy Apply
1-2 Annually
Senior level
1-2 Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Support and manage cloud-first IT strategy, including SaaS applications, network troubleshooting, and collaborating with the team for continuous improvement.
Top Skills: Apple ProductsCloud-Based Telephone SystemsGoogle WorkspaceOktaSlackZoom
11 Hours Ago
Easy Apply
Remote
3 Locations
Easy Apply
132K-188K Annually
Senior level
132K-188K Annually
Senior level
Artificial Intelligence • Enterprise Web • Software • Design • Generative AI
The Senior Data Scientist will analyze customer data, define success metrics, lead technical teams, and develop data infrastructure to improve products at Webflow.
Top Skills: DbtFivetranPythonRSnowflakeSQLTableau

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account