Abnormal - Technical Program Manager AI Data Systems

• 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 • Hands-on experience using agentic AI tools (Claude Code, Codex, Cowork, or similar) to build skills, automations, or multi-step workflows — not just to use AI passively. • Familiarity with AI/ML platform delivery, data engineering workflows, data warehousing,  or MLOps practices. • PMP, CSM, or SAFe certification. • Experience at a high-growth cybersecurity or SaaS company. • Experience in a remote-first, distributed team environment. • Exposure to cloud infrastructure (AWS, GCP, or Azure) and how it intersects with data and AI platform programs. • Experience with Agile/Scrum ceremonies and sprint-level delivery in addition to program-level ownership. • Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.