Technical Program Manager leading Internal Platform Infrastructure for Thumbtack's operational teams. Collaborating with engineering and business stakeholders to drive AI-forward technology delivery.
Responsibilities
Drive end-to-end program management across our Business Applications and IT Infrastructure portfolios, from discovery and prioritization through implementation and operationalization.
Lead architecture-heavy platform and integration programs across a complex, highly integrated tooling stack spanning CRM, identity, telephony, automation, and data systems; drive RFCs, design reviews, and cross-functional tradeoff discussions.
Own vendor and third-party technical relationships, including evaluations, pilot design, contract and renewal coordination, technical escalations, and build-vs-buy recommendations.
Program manage identity, access, and security initiatives spanning SSO, SCIM, RBAC, service accounts, device trust, zero trust, and compliance tooling rollouts.
Drive enterprise AI platform evaluation and deployment, including LLM-based agents, tool and skill frameworks, MCP and connector patterns, governance models, security controls, observability, and adoption tracking.
Coordinate data and workflow infrastructure initiatives across ETL/reverse ETL, system migrations, source-of-truth modeling, and business-critical integrations.
Lead business rhythms and planning cycles for the Internal Tools Infrastructure team, overseeing OKR attainment and roadmap execution to ensure high-impact results.
Requirements
5+ years in Technical Program Management within infrastructure, platform, enterprise systems, or IT organizations, working across Engineering, Security, IT, Procurement, Data, HR, and business stakeholders.
Strong technical fluency with authentication/identity patterns (SSO, SCIM, RBAC, service accounts), infrastructure concepts (AWS, IAM, Terraform), and infrastructure-as-code workflows.
Experience with complex, integrated tooling stacks spanning CRM, telephony, automation, identity, and data systems, with literacy across APIs, ETL/reverse ETL, data pipelines, and source-of-truth modeling.
Practical fluency in modern enterprise AI concepts, including LLMs, AI agents, tools, skills, MCP or similar connector patterns, guardrails, and governance; demonstrated habit of leveraging AI tooling to accelerate your own program management work meaningfully.
Experience working alongside platform engineering, SRE, or infrastructure teams on API platforms, microservices, observability, or security infrastructure programs.
Excellent written and verbal communication, with a track record of driving alignment and decisions in ambiguous environments.
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