Ai Product Manager Jobs

About The Position

Requirements

• Significant product management experience in enterprise software, workflow automation, financial technology, AI products, or regulated industries.
• Deep understanding of financial-services operations workflows such as banking operations, insurance operations, lending, onboarding, servicing, risk, compliance, claims, reconciliation, trade operations, or back-office processing.
• Strong ability to map operational processes, identify automation opportunities, and translate messy real-world workflows into clear product requirements.
• Technical fluency across APIs, data systems, enterprise integrations, AI/ML products, workflow platforms, or SaaS architecture.
• Strong customer discovery, stakeholder management, and executive communication skills.
• Ability to balance speed, customer specificity, product generality, reliability, and regulatory constraints.
• High ownership, excellent judgment, and comfort operating in ambiguity.
• Strong written communication and documentation skills.
• MBA in Finance, BS/MS in Computer Science, or equivalent industry experience.

Nice To Haves

• Experience building AI/ML, LLM, automation, decisioning, analytics, or workflow orchestration products.
• Experience working directly with banks, insurers, asset managers, lenders, fintechs, or other regulated financial institutions.
• Familiarity with governance, auditability, controls, compliance, model risk, data lineage, or enterprise risk management.
• Experience taking products from early customer discovery through launch and repeatable deployment.
• Experience at an early-stage startup or in a high-growth enterprise software company.

Responsibilities

• Own product strategy and execution for financial services operations workflows automated by Artian’s platform.
• Work directly with customers to understand business processes, operational pain points, data flows, exception handling, approval paths, and success metrics.
• Translate complex workflows into product requirements, user stories, workflow maps, acceptance criteria, and launch plans.
• Partner with AI/ML and backend engineering to design agentic automation capabilities that are reliable, auditable, and enterprise-ready.
• Collaborate with solutions engineering and delivery teams to identify repeatable patterns across customer deployments.
• Prioritize product investments based on customer value, implementation complexity, risk, and strategic importance.
• Define metrics for workflow automation quality, operational efficiency, user adoption, task completion, and customer ROI.
• Build product feedback loops from pilots, deployments, customer usage, and internal implementation learnings.
• Communicate product direction clearly to executives, customers, engineering, and go-to-market teams.
• Help shape Artian’s product operating model as the company scales.

Benefits

• Define the product surface for agentic AI in financial-services operations.
• Work directly with customers on high-value, business-critical workflows.
• Partner closely with engineering, AI/ML, solutions, and company leadership.
• Help financial institutions adopt autonomous AI agents safely, reliably, and measurably.