Lead Product Manager- Integration Framework

Overview

Lead Product Manager for the Integration Framework team within UKG Ready's AI & Platform value stream. The role owns the roadmap for the connective infrastructure that powers every external connection, data feed, webhook and partner integration in UKG Ready, and the Solutions Exchange marketplace.

What you'll do

• Own the integration framework strategy and evolution, including V2 enhancements, event driven architecture, advanced webhooks (editable payloads, retry logic, event filtering, webhook marketplace), batch event processing, and a generic transformation engine.
• Drive Solutions Exchange and partner ecosystem growth as a product led growth surface, including self service partner onboarding, in app integration discovery, activation flows, and partner developer experience.
• Own the Audit Framework capability, including audit event capture, data retention, encryption, and the APIs downstream systems consume.
• Lead data import/export and encryption strategy, including SFTP, conversion profiles and bulk data handling, and define data security strategy at the integration boundary.
• Drive the Workflow and Integration Bryte AI Frontdoor, the AI powered interface for integration creation and workflow setup.
• Define integration standards and developer experience across domain teams, and own the developer portal, API reference materials and SDK guidance.
• Work as an AI native PM, using AI agents daily across PRD drafting, technical research, document synthesis, metrics analysis and stakeholder communications.
• Communicate strategy and roadmap to senior leadership and partners, and represent the integration platform story externally to partner organizations and internally to Global Alliances.

What you'll need

• Demonstrated integration architecture depth: webhooks, event driven architecture, API orchestration, data transformation, retry logic, idempotency and error handling.
• API design and developer experience expertise: REST, OpenAPI, versioning strategies, backward compatibility, rate limiting, and developer adoption.
• OAuth and authentication fluency for integration patterns: OAuth 2.0, OIDC, API keys, service account lifecycle, and how authentication changes when AI agents are callers.
• Partner ecosystem and marketplace experience: partner onboarding workflows, integration certification programs, developer SDKs and marketplace mechanics.
• Data integration and ETL pattern knowledge: bulk data import/export, SFTP workflows, data transformation pipelines, and compliance constraints on data in motion (encryption, retention, audit).
• Builder's decision making style and cross functional leadership without formal authority across engineering, domain PMs, partner organizations, Global Alliances and product leadership.
• Commercial and GTM instincts, including monetization, ecosystem incentives and partner adoption.
• Data driven prioritization using integration reliability metrics, webhook delivery rates, partner adoption funnels, Solutions Exchange activation data and API usage analytics.
• AI native working style: active daily use of AI agents in PM workflow and understanding of how AI coding assistants change requirements and team operations.
• Experience profile of one of: technical founder or early engineer turned PM from an integration, API or developer tools company; 4+ years of software engineering plus 3+ years of product management; or 7+ years of product management with at least 3 years owning integration platforms, API products, partner ecosystems or developer tools at enterprise SaaS scale.

Nice to have

• Experience with integration platforms such as Workato, MuleSoft, Boomi, Zapier, Make, or comparable iPaaS platforms, as a builder or as a PM defining integration patterns.
• Webhook and event platform experience, including retry strategies, dead letter queues, payload versioning and event filtering.
• API monetization or platform business experience, such as tiered pricing, usage based billing or platform ecosystem monetization at an API first company.
• Financial or HR system integration experience, such as ERP integrations (NetSuite, QuickBooks, Sage Intacct), HRIS or ATS connectivity, or payroll data exchange at enterprise scale.
• MCP or AI tool integration experience, including Model Context Protocol, AI agent tool registration, or building API layers for LLM powered agents.
• Developer portal experience, including API reference documentation, sandbox environments and onboarding flows.
• Observability and monitoring experience for integration systems using Grafana, Datadog or equivalent.
• Advanced degree (MBA, Computer Science or related field) or equivalent practical experience.

Details

• Location: Noida, Uttar Pradesh, India.