Technical Program Manager, Abnormal AI

• An experienced Program Manager who takes initiative where the goal is set but the path isn't — and builds the structure around it: milestones, owners, risks, and a clear route to delivery
• Energized by high-stakes, high-visibility work — you want your programs to matter, and you hold yourself accountable when they don't
• Action-biased and momentum-driven — you don't wait for perfect clarity to begin building structure or driving toward an outcome
• Equally comfortable in a room with a C-level executive and in the weeds with an engineering team lead — you adjust your communication without losing precision
• A proactive problem-solver who surfaces blockers and risks before they become escalations
• Experienced leading projects and programs in highly technical environments — you extract delivery signal from engineering deep-dives, connect technical decisions to program risk, and push back on sequencing when it matters
• Disciplined about visibility: stakeholders always know where things stand, and surprises don't happen on your programs
• A trusted partner who earns credibility through follow-through — you build relationships that make cross-functional coordination feel easy
• Calm and effective in ambiguity — you create structure where none exists and adapt when priorities shift
• Comfortable using AI to solve problems and streamline workflows — for yourself and your team — and actively looking for new ways to put it to work
• 3-4 years of program or project management experience leading complex, cross-functional technical initiatives — ideally in a high-growth SaaS or enterprise tech environment
• Demonstrated ability to take an early-stage idea — where the goal is clear but the path isn't — and build it into structured delivery with measurable outcomes
• Proven ability to move fast and drive velocity — keeping programs progressing through ambiguity and unknowns
• Track record of managing executive-level stakeholder relationships, including C-level communication, with poise and precision
• Strong experience working alongside technical team leads in AI, engineering, data, or platform contexts — you can follow the technical conversation, ask the right questions, and push back when sequencing or assumptions need challenging
• Familiarity with AI tools and an automation instinct — you naturally ask "how can I use AI to do this?" and have applied it to improve how you work, whether personally or professionally
• Excellent command of project tracking and program management tools (Linear, Jira, ServiceNow, Asana, or equivalent)
• Exceptional communicator across technical and non-technical audiences — written updates, verbal alignment, and executive readouts are all in your wheelhouse
• Demonstrated ability to drive accountability and alignment across teams without formal authority
• Bachelor's degree in Computer Engineering, Information Technology, Business Administration, Information Security or a related field

Desirable

• Abnormal AI is hiring a Technical Program Manager to lead delivery of high-impact programs across our AI Platform and Data Systems teams
• You'll own strategic initiatives from CIO leadership — spanning AI governance, the data foundation for AI agents, AI outcomes analytics, and new agent and platform rollouts — and turn them into structured, well-tracked programs
• You'll define processes where none exists, drive valuable outcomes, and keep executive stakeholders aligned and ahead of surprises
• This role sits at the intersection of engineering execution and leadership visibility, requiring someone who thrives in ambiguity, earns credibility through follow-through, and instinctively reaches for AI to solve real delivery challenges
• Own program delivery for high-impact AI Platform and Data Systems initiatives, from initiation through completion — including scope definition, milestone planning, dependency and escalation management, and stakeholder alignment
• Translate ambiguous mandates from IT leadership into structured, trackable programs with clear owners and success criteria
• Serve as the coordination layer for high-impact, cross-functional programs — working in lockstep with engineering leaders and teams, ensuring dependencies are visible and delivery stays on track
• Maintain executive-ready status reporting for AI Data Systems leadership and C-level stakeholders, ensuring no surprises and consistent confidence in program and portfolio health
• Identify, escalate, and mitigate risks across programs before they impact delivery timelines or stakeholder trust
• Partner with technical team-leads to understand delivery capacity, technical dependencies, and sequencing trade-offs
• Use AI tools in your own program execution — and build lightweight workflows, skills, or automations that make status reporting, risk tracking, and stakeholder updates faster and more reliable
• Support roadmap planning and resource forecasting at the program and portfolio level
• Drive retrospectives and continuous improvement practices, and contribute to building a high-performing, AI-native program management function within the CIO organization