Product Manager - Acquisition Recruiting Onboarding Platform - Vice President

Job Description

The Acquisition, Recruiting & Onboarding Platform is a critical foundation for how JPMorganChase attracts, hires, and welcomes talent—and how employees access the experiences and information they need throughout that journey.

As a Senior Product Manager, you will own product strategy, roadmap, and delivery for capabilities that connect data and workflows across third-party SaaS products and internally built applications. You will help power custom experiences for candidates and employees, and build the platform capabilities—including Model Context Protocol (MCP) integrations—that enable internal agentic AI experiences for employees.

You will work closely with engineering, architecture, data, cybersecurity, privacy, legal, HR, Talent Acquisition, and third-party vendors to turn complex needs into scalable products. This role calls for a strategic thinker who is equally comfortable with execution: someone who can navigate ambiguity, make thoughtful trade-offs, and deliver measurable improvements while protecting sensitive information and creating intuitive experiences.

Job responsibilities

- Shape product strategy and roadmap for the Acquisition, Recruiting & Onboarding Platform, aligning investments with business priorities and the needs of candidates, employees, recruiters, and HR teams.
- Lead discovery and delivery of platform capabilities that connect, exchange, and manage data across third-party SaaS products and internally built applications.
- Define the product vision for custom digital experiences that support candidates and JPMorganChase employees across recruiting and onboarding journeys.
- Partner with engineering, architecture, and data teams to define integration patterns and requirements for APIs, batch processing, event and data streaming, and related platform services.
- Define and deliver MCP servers and other integration capabilities that securely expose relevant platform tools and information to internal agentic AI experiences for employees.
- Work with AI, data, risk, and control partners to support responsible agent experiences, including appropriate access controls, human oversight, monitoring, and safeguards for sensitive information.
- Translate customer and business needs into product requirements, milestones, roadmaps, Jira epics, and stories; guide work from discovery and design through testing, release, and ongoing improvement.
- Set objectives, key results, and success measures; use data, customer feedback, and operational insights to assess product performance and inform priorities.
- Manage backlog prioritization, release planning, dependencies, and trade-offs across multiple teams and platform initiatives. Communicate product strategy, decisions, progress, risks, and outcomes to stakeholders at all levels, including senior leaders.
- Partner with cybersecurity, privacy, legal, compliance, and HR stakeholders to ensure that products, integrations, and data practices meet applicable requirements.
- Lead evaluation, selection, onboarding, and ongoing management of third-party technology vendors, partnering on due diligence, governance, and commercial discussions.

Required qualifications, capabilities, and skills

- 5+ years of product management experience, or equivalent expertise, delivering digital products, platforms, enterprise integrations, or employee and customer experiences.
- Demonstrated experience defining product strategy, prioritizing roadmaps, and delivering products in partnership with engineering and cross-functional teams.
- Strong understanding of the software development lifecycle, agile methodologies, and product discovery and delivery practices; experience with tools such as Jira.
- Experience with integrations and data exchange across applications, such as APIs, batch processing, and event or data streaming.
- Ability to translate complex technical and business needs into clear product requirements, milestones, and measurable outcomes.
- Excellent communication and interpersonal skills, including the ability to influence across a matrixed organization and align stakeholders with differing priorities.
- Strong customer focus and a commitment to creating intuitive, reliable experiences for candidates and employees.
- Experience working with sensitive data and partnering with privacy, cybersecurity, legal, compliance, or risk teams to address relevant obligations.
- Ability to adapt to changing priorities, manage dependencies, and move multiple initiatives forward in a complex environment.

Preferred qualifications, capabilities, and skills

- Experience with Model Context Protocol (MCP), agentic AI, large language models, or other AI-enabled products and integrations. Ability to stay current with developments in AI, enterprise platforms, integration patterns, and product-management practices.
- Experience defining platform capabilities that support AI agents, including secure access to tools and data, authorization, observability, and human oversight.
- Experience with SaaS platforms, enterprise integration, employee-facing products, candidate experiences, or talent acquisition and onboarding systems.
- Familiarity with cloud platforms such as AWS and modern observability and telemetry practices.
- Experience evaluating or managing third-party vendors, including vendor governance and contract processes such as Statements of Work (SOWs) and Master Services Agreements (MSAs).
- Experience working in a large, highly matrixed, regulated organization.
- MBA or advanced degree.