Senior Product Manager - AI Workflows in Banking at Glia

, , United States -

Full Time

Start Date

Immediate

Expiry Date

06 Feb, 26

Salary

0.0

Posted On

08 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, AI Workflows, Banking Operations, B2B SaaS, Customer Satisfaction, Compliance, AI Product Management, Conversational AI, NLP, Virtual Assistants, Data Analysis, Cross-Functional Collaboration, Customer Discovery, Risk Management, Technical Feasibility, Thought Leadership

Industry

Financial Services

Description

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 As a Senior Product Manager - AI Workflows for Banking, reporting to the Director of Product Management, Banking Integrations, you’ll own the roadmap defining how virtual assistants, agent assistants, and humans orchestrate and automate key banking processes—while maintaining the highest standards of security and compliance. You bring deep expertise in banking operations, B2B SaaS, and AI product management. You’ll deliver end-to-end AI solutions that increase automation rates, reduce operational costs, and improve customer satisfaction for financial institutions. What You’ll Do 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 Minimum Requirements Experience Profile – 5–8+ years total experience, including: 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 AI Product Expertise: 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 Senior PM Capabilities: 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 (Nice to Have) 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) How to Apply Submit resume and cover letter addressing: AI products you've launched and their business impact Experience with banks/credit unions and their challenges Approach to product decisions with incomplete information Why you're excited about transforming banking customer service *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, mailboxes 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 talent@glia.com *Want to know more about working at Glia? Check our Glia's Career FAQs

Responsibilities

Own the end-to-end product lifecycle and define AI-human collaboration models across various workflows. Drive prioritization and produce clear artifacts to enable multiple engineering teams.