产品经理（外向型）- 新产品
Product Manager (Outbound) - New Products
关于该职位
Abnormal AI 正在寻找一名产品经理（外向型），该职位负责从零开始构建每款新产品的市场推广策略。没有通用的指南，没有继承的演示流程，也没有经过验证的信息传递方式可以交接。每个新产品都需要其自身的策略：此人将设计它，在与现场团队的紧密合作中验证它，并在交接给现场团队进行大规模推广之前，确保该策略可重复执行，然后才能进入下一次产品发布。
外向型产品管理（OPM）是 R&D 在现场的操作层，这个职能位于我们所构建的产品与客户实际使用之间的位置。这意味着在新产品上线前就参与其中，此时还没有人弄清楚如何销售或演示它，对客户账户进行结构化验证，并区分产品差距与定位或销售策略差距。你将与产品管理和产品营销紧密合作——OPM 负责现场推广策略，而不是产品路线图，但你带回的模式分析和定位工作，使两个团队都能保持与客户实际情况的一致性。
这不是一个收集反馈的角色。你将处理尚未有明确答案的产品——信息传递仍在验证中，竞争定位仍在测试中，产品本身可能还在完善中。你会知道何时可以将结果带回跨职能团队，何时需要进一步挖掘，并且在没有现成地图的情况下推动策略前进。
你将负责的工作
- 为指定产品发布设计现场推广策略：设计产品演示方式、观点结构以及现场团队大规模推广所需的内容——然后亲自参与客户探索、深入调研和观点展示以验证方法。
- 与销售工程师一起在实际交易中测试并优化信息传递假设，并分析竞争失败的原因。
- 向产品经理汇报跨账户的模式分析，区分产品差距与定位或销售策略问题。
- 作为常驻合作伙伴与产品营销合作，对实际交易中的信息传递进行压力测试，并报告哪些内容有效，哪些需要调整。
- 负责在产品正式发布时的交接：记录哪些有效、哪些失效，以及现场团队独立推广该策略所需的条件——然后继续下一个产品，重复这一过程。
必备技能
- 5年以上产品管理或解决方案/销售工程经验
查看英文原文
About the Role
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.
Must-Have Skills
- 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.
Nice to Have
- 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.
Why This Role Matters
This role is a career inflection point. It’s a senior seat with real organizational weight that will set a new standard for the team around you. The people who thrive here carry credibility on arrival—they've been in enough high-stakes customer and cross-functional environments that they don't need to win the room before the work begins. If you come from a product management background, this is where you build the GTM fluency that traditional PM roles don't give you, and that fluency is increasingly what separates good product people from exceptional ones. If you come from a solutions engineering background, this is where technical credibility becomes strategic ownership. Either way, you'll be at the frontier of what we're building, working on products that don't have all the answers yet, shaping the motion before anyone else has, and coming out the other side with a profile that's genuinely hard to replicate elsewhere. The launches you'll be working on aren't side bets—they're the company's biggest bets for our next phase of growth, and this role is at the center of bringing them to market.
#LI-LM3
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
A note on AI in our process:
Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.
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. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.