• Architect and implement scalable, secure, and cloud-native solutions on Azure • Lead design and development of CI/CD pipelines using Terraform • Partner with Digital Technology Platform Engineer for Azure landing zone definition • Support workload consolidation onto Azure and observability stack build-out • Build and operate Azure platform for integration-heavy workloads • Support reconciliation and financial close workloads • Collaborate with integration developers to deliver production-ready services • Establish and operate Azure observability stack • Build FinOps foundations on Azure • Conduct architecture and code reviews

• Own and evolve AWS infrastructure. • Maintain Kubernetes platform health. • Partner with development teams to improve deployment pipelines. • Build and maintain dashboards, alerts, and telemetry pipelines. • Support distributed Linux-based hardware deployed in the field. • Troubleshoot connectivity and network issues. • Own and improve Terraform and Terraform Cloud codebases. • Treat the platform as a product and build opinionated workflows.

Role Description CaptivateIQ is looking for a Director of Product Management to lead the strategy and execution of our Product Platform — the shared foundation that every CaptivateIQ application is built on. This is the connective tissue of the company: the layers that turn a set of products into a single, AI-native system. This role owns one of CaptivateIQ’s highest-leverage areas. A single great primitive shipped here compounds across every product. It demands a leader who is hands-on, deeply curious about the systems beneath the surface, and capable of balancing rigorous platform thinking with decisive product execution. What You'll Own - AI & Agent Platform: - The agent SDK, MCP server, agent portal for authoring and observability, eval framework and runner, and shared chat/agent UI primitives. - Every layer must be API-first and agent-accessible. - Data Platform: - Bi-directional data connectors and the ETL/ingestion and transformation layer. - Workflows & Reporting: - Long-running orchestration with human-in-the-loop approvals and in-house reporting and analytics. - Identity: - Authentication and SSO, policies and permissions, entitlements that drive feature gating. - State Platform: - Versioning and state-transition machine, sandbox, and audit built on top of it. Your job is everything that makes our customer-facing applications interoperable, governable, and agent-ready. Responsibilities - Own the Product Platform strategy and roadmap. - Define how CaptivateIQ’s shared layers evolve to make every product faster to build and every model more connected. - Make the platform an accelerant, not a tax. - Champion interface-first, agent-ready design. - Model hands-on product leadership. - Scale enterprise readiness. - Develop system thinkers. - Drive measurable impact. Qualifications - 4+ years leading product managers, with a track record of shaping complex, multi-tenant systems. - Deep experience with platform or infrastructure products. - Demonstrated ability to build reusable primitives and abstractions. - Strong API-first instincts. - Fluency with and genuine curiosity about the AI/agent stack. - Strong cross-functional instincts. - A coaching mindset. - Clear, structured thinking. - Passion for creating environments where product teams do their best work. Benefits - Comprehensive Healthcare: 100% coverage for medical, dental, and vision for all FTEs, with roughly 75% coverage for dependents. - Flexible Time Off: Flexible vacation days plus quarterly mental health days. - Annual Stipends: Dedicated funds for professional development and caretaking needs. - Work Anniversary Bonuses: Annual bonuses to celebrate milestones and contributions. - Retirement Savings (US-Only): A 401(k) plan to help you invest in your future. - Premium Tools: The latest Apple hardware to empower you. - Inclusive Community: Active Employee Resource Groups (ERGs) that support our DEI goals.

• Own end-to-end decisions on how our platform handles real-time freight events at scale, from event ingestion across dozens of carrier sources, through data normalization, through ML-powered risk and ETA models, to the user-visible recommendations our enterprise customers act on. • Make architecture trade-offs explicit and defensible. When you choose Redis over Postgres for a use case, you can name the specific constraint that made that the right call and you can defend that decision against engineering, data science, and customer success, all of whom have different concerns. • Collaborate closely with our Data and Product team to integrate model outputs into production systems without breaking the latency budget. You decide whether a new prediction lives in real-time inference, batch precompute, or a hybrid and you defend why. • Instrument what you build, find real bottlenecks, and pick fixes that survive the next 10× of growth, not just the next sprint. You measure before you optimize, and your numbers are reproducible. • Raise the engineering bar across the team. You own sub-systems end-to-end, debug production issues across the stack, and participate in architectural decisions that shape the next 12 months of platform evolution. • Help shape a high-performing engineering culture. IC/senior engineers here don't gatekeep, they teach the framing they used to get there. You mentor through code review and design discussions, shape the operating norms the team works by, and model the standard for the engineers around you.