[Hiring] Product Manager @Abnormal

Role Description

Abnormal AI is seeking a Product Manager (Outbound) who builds the field motion from the ground up for every new product launched. There is no universal playbook, no inherited demo flow, and no proven messaging to hand off. Each new product requires its own: this person architects it, validates it in close partnership with the field, and hands off a repeatable motion the field can run at scale before moving to the next product launch.

Outbound Product Management (OPM) is R&D's operating layer in the field, the function that sits between what we build and how it performs with customers. That means being first in on a new product, before anyone has figured out how to sell or demo it, running structured validation across customer accounts, and distinguishing a product gap from a positioning or sales-motion gap. You'll work in close partnership with Product Management and Product Marketing—OPM owns the field motion, not the roadmap, but the pattern analysis and positioning work you bring back is what keeps both teams calibrated to what's actually happening with customers.

This is not a feedback-intake role. You'll be operating on products that don't have established answers yet — the messaging is still being proven, the competitive positioning is still being tested, and the product itself may still be taking shape. You'll know when a read is solid enough to bring back to the cross-functional team versus when it needs more digging, and you'll drive the motion forward without waiting for someone to hand you a map.

What You'll Do

• Architect the field motion for an assigned product launch: design how the product gets demoed, how a POV gets structured, and what the field needs to run it at scale — then get hands-on with customer discovery, deep dives, and POVs to validate the approach.
• Test and refine messaging hypotheses in live deals alongside Sales Engineers, and diagnose competitive loss reasons.
• Brief PM with pattern analysis across accounts, distinguishing a product gap from a positioning or sales-motion problem.
• Partner with Product Marketing as a standing collaborator, stress-testing messaging in live deals and reporting what's landing versus what needs to change.
• Own the handoff at General Availability: document what worked, what broke, and what the field needs to run the motion independently — then move to the next product and do it again.

Qualifications

• 5+ years in Product Management or Solutions/Sales Engineering in enterprise security.
• Demonstrated ability to independently synthesize unfamiliar products quickly — given a new product and limited context, you can identify what matters, form a hypothesis, and start building the field motion: how the product gets demoed, how a POV gets structured, and what the field needs to run it at scale.
• Experience working in a pre-launch or early-stage product environment before a playbook existed, with a specific program, motion, or deliverable built from scratch to show for it.
• Credibility that speaks through work and presence, and the instinct to move toward problems before they're assigned.
• Strong written and verbal communication; credible in front of technical buyers and security teams, equally comfortable in a live customer conversation and an internal roadmap review.
• High operational excellence and ownership: you've taken a field observation from raw signal to a documented recommendation that a PM or GTM team acted on.
• Strong analytical skills, with the capacity to reason through ambiguous problems and move to a working hypothesis without waiting for the full picture.

Requirements

• Prior involvement in new product launches, design partnerships, early-access, and/or beta programs.
• Experience running or presenting in structured cross-functional forums (POV reviews, launch/GTM syncs).
• Familiarity with enterprise security platforms such as CrowdStrike, Palo Alto Networks, Zscaler, Wiz, Microsoft, or similar.
• Comfort using AI tools to synthesize patterns across large sets of qualitative input (support tickets, call transcripts, win/loss notes).
• Prior startup experience.

Benefits

• 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.
• Base salary range: $133,900 — $192,500 USD.

Company Description

Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.