Senior Technical Delivery Manager - Platform, AI, and Infrastructure

Senior Staff Technical Delivery Manager - Platform, AI, and Infrastructure

Join BILL as a Senior Staff Technical Delivery Manager embedded in our Platform, AI, and Infrastructure engineering org. This team is the foundational layer every product team at BILL builds on: backend platform services, developer tooling, AI and ML systems, and reliability engineering. The work is often invisible when it runs well and high-impact when it does not. Keeping it healthy requires someone who can help engineering leadership make the case for foundational investment, navigate long-horizon programs with diffuse ownership, and translate infrastructure and AI development cycles into language that business and executive stakeholders can act on.

In this role you will serve as the dedicated operational partner to the VP of Engineering for Platform, AI, and Infrastructure. The majority of your work is strategic: understanding the roadmap, engaging meaningfully on technical decisions, pressure-testing priorities, and deploying into programs where structured execution is the difference between on-track and off-track. You do not need to have domain expertise in every area this org owns.

What matters is the technical foundation and intellectual agility to build credibility fast, earn the trust of the org leader, and make judgment calls that hold up under scrutiny.

Responsibilities:

• Maintain a current, org-wide view of initiatives, priorities, and delivery risks at all times, serving as the VP of Engineering's primary operational partner across the full software development lifecycle.
• Lead execution on the highest-priority and highest-complexity programs in the org, including long-horizon infrastructure investments, AI and ML development cycles, and cross-functional platform launches where diffuse ownership creates coordination risk.
• Identify blockers, dependencies, and misalignments before they become delivery risks; escalate with context and a clear recommended path forward.
• Partner with engineering leads and architects on technical decisions that carry product, timeline, or organizational implications, including helping leadership build the business case for foundational platform investment.
• Translate technical progress, infrastructure risks, and AI development timelines into clear, actionable communication for product, finance, and executive audiences.
• Build and maintain operating cadences including planning cycles, program reviews, and status reporting with a bias toward signal over noise.
• Use AI tooling and program management platforms to keep operational overhead lean without losing fidelity on what matters.

We'd love to chat if you have:

• 6 or more years in technical program management, software engineering, or a closely related field with demonstrated technical depth and a track record of leading complex, cross-functional programs end to end.
• Strong command of the software development lifecycle, including how engineering teams scope, sequence, estimate, and deliver work across agile and hybrid delivery models.
• Technical acumen at a systems level: enough to understand how complex software systems are architected, where failure modes live, and how engineering decisions affect business outcomes, and the ability to ramp on a new domain without being hand-held through it.
• Exceptional written and verbal communication skills, including the ability to write precisely for executive audiences and facilitate cross-functional alignment in live settings without losing accuracy.
• Demonstrated ability to influence without authority across engineering, product, finance, and leadership, operating independently in high-stakes environments where decisions carry real technical or organizational consequences.
• Proven experience using AI tooling and program management platforms to keep operational overhead lean without losing fidelity.
• Excellent organization skills and expert level knowledge in productivity and work management tooling.
• Practical knowledge and experience with OKR setting and tracking in a multi-team environment.

Desired

Qualifications:

• Familiarity with distributed systems, developer experience platforms, infrastructure programs, or AI and ML development cycles.
• Background in software engineering, particularly candidates who have grown toward program or product leadership over time.
• Experience at a scaling fintech or SaaS company where pace and ambiguity are the norm, including demonstrated use of AI tooling to reduce operational overhead.

Please note that this position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future.

The estimated salary range for this role is noted below for our San Jose based role. Our ranges for each role and job level are based on a variety of factors including candidate experience, expertise, and geographic location and may vary from the amounts listed above. The role is also eligible for a competitive benefits package that…