• Define and own the end-to-end roadmap for AI/ML initiatives • Serve as the central coordinator for collaboration across teams • Oversee day-to-day delivery of AI/ML projects using Agile practices • Act as a trusted partner translating business use cases into technical requirements • Ensure compliance with regulatory frameworks and promote Responsible AI principles

• Act as the single-threaded owner for delivery success, proactively identifying risks, driving decisions, and taking corrective action to keep engagements on track. • Build and maintain delivery plans, schedules, milestones, and project artifacts for complex, technical customer environments, including data ingestion pipelines, distributed systems, and cloud-based architectures. • Proactively surface and resolve delivery risks, including pushing back on scope, timelines, or resourcing assumptions when necessary to protect customer outcomes and engagement health. • Partner with consultants, partner consultants and architects by coordinating activities, clearing blockers, and ensuring project momentum across multiple concurrent customer engagements. • Drive structured kickoff-to-close delivery flow, including documentation, success tracking, and retrospective while ensuring delivery aligns with Statement of Work (SOW) scope, timelines, and utilization expectations. • Lead internal Professional Services initiatives that improve scale, repeatability, and operational efficiency. • Support creation of new templates, playbooks, runbooks, onboarding kits, and enablement assets. • Collaborate cross-functionally with Product, Engineering, Support, Sales, Customer Success, and Marketing to streamline customer outcomes. • Contribute to knowledge-sharing programs such as internal enablement, documentation, resource libraries, and PS tooling. • We are a remote-first company and work happens across many time-zones - you may be required to occasionally perform duties outside your standard working hours.

• Oversee planning and execution of platform modernization, including coordinating discovery workshops and guiding the implementation of new systems. • Manage cross-functional teams (developers, architects, analysts, UX designers, QA) and multiple stakeholders across government agencies, ensuring effective communication and collaboration. • Define clear project scope, objectives, and success metrics; develop detailed project plans and schedules, and monitor progress against milestones. • Proactively identify and mitigate risks and issues, making contingency plans to keep the project on track. • Ensure compliance with federal and state IT governance, security policies, and data standards throughout the project lifecycle. • Implement robust project management practices (Agile and/or hybrid methodologies) with regular status reporting, quality control, and change management processes. • Facilitate stakeholder meetings, steering committee updates, and user outreach to maintain alignment with business goals and user needs. • Drive organizational change management including training, user adoption strategies, and transition plans to operational support once the new permitting system goes live.

• Lead technical onboarding and implementation of LocID with DSPs, SSPs, publishers, and CTV platforms • Serve as the technical voice of LocID on calls with partner engineering, identity, and platform teams • Evaluate partner system architectures to ensure alignment with LocID product requirements • Troubleshoot integration issues across application, OS, network, and cloud environments • Test and validate APIs using tools such as Postman or cURL • Work closely with Engineering and Product to escalate issues, provide technical feedback, and influence roadmap decisions • Explain complex identity, ad-serving, and data-flow concepts to both technical and non-technical audiences • Confidently push back and guide partners when assumptions or implementations are misaligned • Whiteboard or diagram system architectures live during calls when needed • Support identity discussions including ID graphs, volatility, segment refreshes, data leakage risks, and privacy considerations • Ensure successful implementations before, during, and after onboarding • Maintain detailed documentation, FAQs, and implementation of best practices • Support global partners with flexibility across time zones