Principal Technical Program Manager - AI Product

Salary: $61,000 - 101,000 per year Requirements:

• We need 7+ years of experience, or equivalent expertise, in technical program management leading complex technology initiatives in large organizations.
• We need demonstrated experience designing, building, deploying, or governing production-grade generative AI and agentic systems, including orchestration, evaluation, guardrails, observability, and human oversight.
• We need advanced hands-on experience with Claude Code, GitHub Copilot, and GitHub-based engineering workflows for prompt design, code generation, testing, debugging, review, documentation, and workflow automation.
• We need strong AI and software engineering depth, including the ability to read and critique code, assess architectural trade-offs, and challenge teams on security, scalability, reliability, and production readiness.
• We need a deep understanding of how AI-native delivery differs from traditional software development, including non-deterministic testing, prompt and data versioning, evaluation gates, model drift, and continuous monitoring.
• We need proven ability to lead complex, multi-quarter transformation programs across autonomous technology organizations and influence senior product, engineering, data, risk, and control stakeholders without direct authority.
• We need experience applying lean product development and process re-engineering methods, including value stream mapping, flow, work-in-progress limits, queue and handoff analysis, and outcome-based delivery metrics.
• We need demonstrated success partnering with model risk, technology risk, cybersecurity, compliance, and audit teams in a regulated environment to embed controls into AI products and engineering workflows.
• We need demonstrated experience using enterprise-authorized AI capabilities within the work environment to support technical program management workflows with strong validation habits and awareness of data sensitivity.
• We need the ability to review and validate AI-assisted plans, risks, and recommendations before use, escalating when uncertain and following data handling expectations.
• Preferred: experience defining or implementing an enterprise AI PDLC, AI engineering standards, reference architectures, evaluation frameworks, or reusable patterns adopted across multiple products, platforms, or teams.
• Preferred: experience designing or operating agentic workflows with orchestration frameworks, Model Context Protocol (MCP), tool and API integrations, retrieval and context engineering, structured evaluation, and secure access to enterprise systems.
• Preferred: recent applied AI, machine learning platform, or agentic engineering experience with responsibility for production outcomes, reliability, monitoring, or value realization.
• Preferred: a portfolio of AI-native prototypes, reference implementations, engineering accelerators, playbooks, internal standards, or communities of practice that progressed into sustained use.
• Preferred: background spanning technology strategy, program leadership, operating-model transformation, engineering productivity, and large-scale modernization in a regulated enterprise.
• Preferred: recognized thought leadership in AI engineering, agentic systems, software delivery transformation, enterprise operating models, or emerging technology adoption.

• We develop and implement strategic technical program plans aligned with organizational goals, overseeing complex execution across resources, budgets, timelines, risks, and blockers.
• We guide the selection and implementation of suitable technologies, platforms, and software tools using strong technical fluency.
• We drive continuous improvement by identifying optimization opportunities, applying best practices, and tracking emerging technologies.
• We institutionalize the AI Product Development Lifecycle, including use case intake, data and prompt versioning, evaluation gates, human-in-the-loop design, model risk integration, deployment, drift monitoring, and retirement.
• We expand and scale the agentic engineering operating model by establishing reference architectures, shared tooling, evaluation harnesses, guardrail patterns, and observability standards for production-grade agentic systems.
• We lead multi-quarter, cross-organizational programs that accelerate AI-native delivery across product, engineering, architecture, data, risk, controls, and operations teams without direct line authority.
• We drive adoption of the path from AI idea generation to production by using value stream mapping, flow metrics, work-in-progress limits, queue analysis, and lean methods to remove handoffs and duplicated reviews.
• We partner with model risk, technology risk, cybersecurity, compliance, and audit as design partners to embed governance and automated control evidence into AI engineering and delivery workflows.
• We advise senior technology leaders on where agentic systems create value or risk, translate AI investments into measurable outcomes, and use cycle time, throughput, change failure rate, evaluation quality, and risk posture to guide decisions.
• We use enterprise-authorized AI capabilities within the work environment to accelerate program planning, dependency and risk synthesis, and executive-ready reporting, validating outputs and handling data according to sensitivity requirements.
• We promote reuse-first, AI-assisted practices for program governance and continuous improvement routines, ensuring human review and alignment to delivery standards.

• AI
• API
• Claude Code
• Copilot
• Flow
• GitHub
• Support
• Machine Learning
• Marketing
• MCP
• Security

More:

hackajob is partnering with J.P. Morgan to connect exceptional professionals with this opportunity. We are a Principal Technical Program Manager in Operating Model Enablement, helping shape the future of our technology landscape through major multi-functional programs that affect clients, employees, and stakeholders across the firm. JPMorganChase is one of the oldest financial institutions, serving millions of consumers, small businesses, and some of the worlds most prominent corporate, institutional, and government clients through the J.P. Morgan and Chase brands. With more than 200 years of history, we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management. We offer a competitive total rewards package, with base salary determined by role, experience, skill set, and location. Eligible roles may also include commission-based pay and/or discretionary incentive compensation. Our benefits can include comprehensive health care, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching, and more. We value diversity and inclusion, provide reasonable accommodations where needed, and our Corporate Functions team spans finance, risk, human resources, marketing, and other essential areas that support our businesses, clients, customers, and employees.

last updated 37 week of 2026