Boomi is a fast-growing company focused on intelligent integration and automation solutions. They are seeking a Technical Project Manager to lead the delivery of Agentic AI initiatives, ensuring the transition of AI agents from experimentation to reliable systems while collaborating with various stakeholders.
Responsibilities:
- Shape how agentic AI is operationalized at enterprise scale
- Build AI systems that Boomi employees rely on every day
- Influence Boomi’s AI platform direction by operating as a real-world customer zero
- Work on highly visible, strategic initiatives with executive sponsorship
- Own end-to-end delivery of multi-team, multi-quarter agentic AI programs
- Act as the single-threaded owner for program execution, outcomes, and risk management
- Partner deeply with AI engineering and architecture teams to translate complex technical designs into executable plans
- Drive internal deployment and adoption of AI agents across Boomi business functions as part of the customer zero strategy
- Establish clear success metrics including business impact, adoption, reliability, and operational readiness
- Lead cross-functional alignment across engineering, security, enterprise architecture, legal, and business stakeholders
- Communicate program status, tradeoffs, and risks to senior and executive leadership
- Implement scalable program management practices that balance rapid AI innovation with enterprise governance and trust
Requirements:
- 8+ years of experience as a Technical Program Manager, Technical Project Manager, or equivalent role
- Proven track record leading complex, cross-functional technical programs
- Strong technical fluency across modern software systems including cloud platforms, APIs, and distributed systems
- Experience partnering closely with engineering teams to deliver production systems
- Ability to operate independently in high-ambiguity environments and drive clarity
- Excellent communication, stakeholder management, and decision-making skills
- Experience delivering AI/ML-powered or LLM-based systems in production
- Familiarity with agentic AI architectures, orchestration frameworks, or autonomous workflows
- Background in enterprise platforms, integration, or automation technologies
- Experience operating in a customer-zero or internal platform incubation model
- Experience influencing Director- and VP-level stakeholders