Director of Product Management -Product Platform

AI & Agent Platform. The agent SDK, MCP server (the single inbound surface for tool calls across the platform), agent portal for authoring and observability, eval framework and runner, and the shared chat/agent UI primitives every product embeds. This vertical spans the full stack — every layer must be API-first and agent-accessible.

Data Platform. Bi-directional data connectors (ingest from HRIS, CRM, and more; egress to warehouse and BI), and the ETL / ingestion and transformation layer that takes raw third-party data through to clean, typed, queryable objects.

Workflows & Reporting. Long-running orchestration with human-in-the-loop approvals (payout processing, plan rollout, period close), and in-house reporting and analytics built natively on platform objects and modeling outputs.

Identity. Authentication and SSO, policies and permissions (RBAC, scoping enforced at every layer boundary), entitlements that drive feature gating, billing, org settings, and user preferences.

State Platform. State as a first-class primitive — the versioning and state-transition machine every change flows through — plus the sandbox (branchable, isolated workspaces for staging changes safely) and audit (a record of every state transition for review and compliance) built on top of it.

Own the Product Platform strategy and roadmap. Define how CaptivateIQ’s shared layers — data, workflows, reporting, identity, state, and the AI/agent platform — evolve to make every product faster to build and every model more connected.

Make the platform an accelerant, not a tax. A platform team succeeds only when product teams move faster because of it. Build primitives teams reach for by default, and retire the temptation to invent parallel versions.

Champion interface-first, agent-ready design. Every platform surface must be designed API-first with well-defined schemas and documentation, with human UX built on top. Agents are only as reliable as the APIs and data structures they operate on — your layers are that substrate.

Model hands-on product leadership. Stay close to the details. Immerse yourself in customer workflows, data models, agent behavior, and technical constraints. Reason from system dynamics, not surface requirements.

Scale enterprise readiness. Deliver the governance, auditability, access control, sandboxing, performance, and reliability that enterprises operating at scale depend on — and that make AI-generated logic trustworthy and governable.

Develop system thinkers. Coach PMs to think holistically across components and personas, reason about trade-offs, and make clear, structured decisions grounded in how the whole platform behaves.

Drive measurable impact. Connect platform work to company-level outcomes — development velocity, API-first coverage, cross-model data flows, reduction in fragmentation — and ensure alignment through clarity, not control.

4+ years leading product managers, with a track record of shaping complex, multi-tenant systems.

Deep experience with platform or infrastructure products — data platforms, APIs and developer platforms, workflow/orchestration engines, identity and access, or similar foundational layers where correctness, scale, and usability intersect.

Demonstrated ability to build reusable primitives and abstractions that serve multiple products, teams, and external builders.

Strong API-first instincts — you think in interfaces, schemas, and contracts before screens.

Fluency with and genuine curiosity about the AI/agent stack: MCP, agent tooling, evals, context management, and how orchestration around a model — not just the model — drives differentiated value.

Strong cross-functional instincts — able to bring together Engineering, Design, Sales, and CX around shared context and goals.

A coaching mindset; you invest in developing people’s judgment, not just their execution.

Clear, structured thinking — you simplify complexity without losing nuance.

Passion for creating environments where product teams do their best, most thoughtful work.