Sr. Technical Program Manager

DoubleVerify•New York, NY

11d•$100,000 - $200,000•Hybrid

About The Position

DoubleVerify is seeking a Senior Technical Program Manager to drive the delivery of our most strategically important initiatives at the intersection of AI and Quote to Cash (QTC). Reporting to the VP of Program Management & Engineering Operations and working in close partnership with our Chief AI Officer, you will own end-to-end program execution for AI-powered initiatives that transform the full revenue lifecycle — from opportunity management and CPQ through order management, billing, and revenue recognition. In this role, you are the connective tissue between engineering teams and the broader organization. You will coordinate complex, cross-departmental timelines, surface risks early, and ensure AI-driven programs are delivered with the rigor and visibility that high-impact initiatives demand. While QTC and AI initiatives will be your primary focus, you will occasionally support additional high-priority programs within the CIO organization, bringing the same structured approach to delivery across a broader range of technology initiatives. The ideal candidate brings deep technical program management expertise, comfort operating in AI-first environments, and a track record of aligning engineering delivery with business outcomes.

Requirements

5+ years of technical program management experience in software development environments
Demonstrated experience coordinating complex, cross-departmental programs with multiple engineering teams
Strong understanding of QTC process flows and how they intersect with CRM, ERP, billing, and revenue recognition systems
Comfort operating in AI-driven program environments — experience coordinating delivery of AI or ML-powered products is a strong plus
Proven track record delivering complex, cross-functional programs on time with strong stakeholder alignment
Strong project management skills including timeline development, risk management, dependency tracking, and stakeholder communication
Expert proficiency with Jira, including plans, dashboards, and automation
Exceptional written and verbal communication skills, with the ability to tailor messaging for engineering teams and executive audiences alike
Proactive mindset with strong organizational skills and meticulous attention to detail

Nice To Haves

Experience coordinating delivery of AI or ML initiatives in a product or platform engineering context
Hands-on experience with Salesforce CPQ, Salesforce Revenue Cloud, or similar QTC platforms
Familiarity with ERP systems (NetSuite, SAP, Oracle) and their integration with CRM and billing platforms
Experience with SaaS billing models, subscription management, or ASC 606 revenue recognition
Background in AdTech, MarTech, or digital media
Experience using AI tools for automation, reporting, or program management workflows
Background working with distributed or remote engineering teams
PMP, CSM, or other relevant certifications

Responsibilities

Own end-to-end program execution for AI-driven QTC initiatives, coordinating timelines and delivery across engineering, product, and business teams
Partner closely with the Chief AI Officer to translate AI strategy into structured, executable programs with clear milestones, owners, and dependencies
Drive project kickoffs for each program phase, ensuring engineering teams and cross-departmental stakeholders are aligned on scope, timelines, and commitments
Manage dependencies across engineering teams and downstream systems, proactively identifying and resolving blockers before they impact delivery
Establish and own a meeting cadence that brings together key stakeholders across engineering, product, and business functions to maintain alignment, surface risks, and drive decisions
Lead go/no-go meetings and coordinate validation activities ahead of AI feature releases and QTC system go-lives
Provide regular written and verbal status updates that combine engineering delivery data with qualitative risk assessment for executive and stakeholder audiences
Maintain project visibility by ensuring Jira reflects the current program plan and building plans for stakeholder transparency
Update timelines weekly, incorporating engineering capacity, QA, infrastructure, and all release considerations
Track and manage capitalization compliance for AI and QTC engineering workstreams, completing briefs on time and supporting audit inquiries
Support quarterly planning cycles by working with engineering leads to size dependencies, set realistic commitments, and get initiatives into the planning system
Hold engineering teams accountable to planning deadlines and ensure sprint commitments align with program milestones