Director Product Management, AI Products
GE HealthcareSalary not specified
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Banking, Fintech, AIIndustries
Requirements
- 5–8+ years total experience
- 3+ years at a bank, credit union, or financial services/banking technology company with exposure to banking operations, contact center metrics (AHT, FCR, CSAT, NPS), compliance, and customer journeys
- 3+ years managing enterprise B2B SaaS products, driving revenue and retention across complex sales cycles and multi-stakeholder environments
- 2+ years managing AI-powered products (Conversational AI, NLP, virtual assistants, LLM applications), including prompt engineering, RAG, fine-tuning, and model selection
- Understanding when AI can/cannot reliably solve problems (accuracy thresholds, edge cases, hallucination risks, training data requirements)
- Defining AI product requirements (model performance metrics, latency targets, cost constraints)
- Experience launching and iterating AI features with measurable improvements
- Lead large, cross-functional projects independently
- Create artifacts that align technical and business teams
- Make data-informed decisions under ambiguity and time pressure
- Manage risk and escalation at a senior level
- Preferred Qualifications
- Banking Technology: Experience with core banking systems (FIS, Fiserv, Jack Henry), online/mobile banking platforms, CRM, or CCaaS platforms
- Education: MBA, engineering degree (CS or related), or equivalent experience
- Additional Experience: Voice AI or telephony products, financial services regulations (GLBA, SOC 2, PCI-DSS), CX transformation initiatives, and/or experience in high-growth SaaS environments ($100M+ ARR)
Responsibilities
- Own the end-to-end product lifecycle—from discovery through optimization
- Define AI-human collaboration models (intelligent routing, escalation paths, context handoffs, compliance controls) across customer-facing, agent-facing, and operational workflows
- Develop multi-quarter roadmaps aligned to revenue, retention, and operational efficiency metrics
- Drive prioritization balancing strategy, competitive positioning, and customer needs
- Make independent decisions on complex tradeoffs (competitive risk, technical debt, resourcing)
- Produce clear, actionable artifacts (prototypes, PRDs, specs, strategies) enabling multiple engineering teams
- Manage escalations and balance business objectives with technical feasibility
- Present product direction and progress to executive leadership (CSO, CPO, CTO)
- Partner cross-functionally with Sales, Marketing, and Customer Success to drive GTM success
- Conduct customer discovery through interviews, data analysis, and observational research
- Establish thought leadership through content, conferences, and customer engagement
Skills
Product Management
AI Workflows
Banking Operations
B2B SaaS
Roadmapping
PRDs
Prototyping
Intelligent Routing
Compliance Controls
Customer Journey Mapping
Glia
Digital customer service solutions for banks
About Glia
Glia provides digital customer service solutions specifically designed for financial institutions like banks and credit unions. Their platform includes various tools such as messaging, video, voice, and CoBrowsing, which allows customer service agents to interact with a customer's web browser in real-time. This technology enables financial institutions to engage with customers across multiple digital channels, allowing seamless transitions between chat, video calls, and voice calls without losing context. Glia's goal is to enhance customer service efficiency and user experience, ultimately improving customer satisfaction and loyalty. Unlike competitors, Glia focuses on the financial services sector, offering a tailored service that helps institutions modernize their customer interactions and increase online loan applications. By providing these tools as a service, Glia aims to help financial institutions deliver personalized support and boost customer retention.
New York City, New YorkHeadquarters
2012Year Founded
$147.8MTotal Funding
SERIES_DCompany Stage
AI & Machine Learning, Financial ServicesIndustries
201-500Employees
Benefits
Stock Options
Professional Development Budget
Risks
Rapid AI adoption could lead to increased competition from new entrants.
Financial institutions may develop in-house digital customer service solutions.
Increasing regulatory scrutiny on AI and data privacy could raise compliance costs.
Differentiation
Glia's ChannelLess® architecture allows seamless transitions between communication channels.
Quality AnalystGPT provides real-time insights into customer needs and trends.
Glia's AI-driven solutions enhance customer experience and operational efficiency.
Upsides
Increased demand for AI-driven customer service in the financial sector.
Growing trend of integrating AI with customer service platforms.
Expansion of digital banking services boosts demand for Glia's solutions.
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