定价与包装资深顾问
Principal, Pricing & Packaging
职位描述
Abnormal AI 正在寻找一位高级定价与包装专家,负责我们平台的定价策略,从我们的电子邮件安全套件开始,并扩展到我们即将推出的需要独立定价模型的新产品线,包括是否采用按使用量或积分制的定价方式。这不是一个一次性项目。你将持续重新评估我们现有产品组合的定价和包装,而不仅仅是在新产品发布时,同时随着市场和竞争环境的变化提出调整建议。你将负责定价和包装的建议,与高级管理层合作将其转化为决策,并在销售运营、计费和 CPQ 团队的实施过程中保持参与。这是一个跨职能、高可见度的职位,适合有相关经验并希望塑造一家快速发展的网络安全公司产品定价策略的人。
你将负责的工作
- 为我们的电子邮件安全套件推荐包装、定价和计量方式:我们提供多少个套件,每个套件包含什么内容,每个的价格(如果保持不拆分,则为单点价格),以及价格所绑定的单位。
- 为我们将要推出的新的产品线做同样的工作,这些产品需要不同的定价模型。决定定价是基于数量(如用户数或单元数)还是基于使用量(如消耗量),如果是基于数量,需明确定义该单位,使客户无法绕过它。对是否采用积分消耗模式提出明确的观点。
- 除了上述两个领域外,持续审查和重新评估我们整个现有产品组合的定价和包装,而不仅仅是在产品发布时,同时根据市场或竞争环境的变化提出调整建议。
- 与高级管理层建立并运行定价决策机制:定期会议、明确的建议反馈时间,以及升级路径,确保定价决策能按照可预测的时间表进行,而不是停滞在临时评审中。
- 一旦做出决策,直接与我们的销售运营、计费和 CPQ 团队合作推进实施,包括费率表、CPQ 配置和合同模板。在执行过程中保持亲力亲为,而不是简单地移交。
- 对我们的销售团队进行定价策略、包装逻辑和谈判底线的培训,使销售人员能够在实际销售中自信地捍卫基于价值的定价。
- 分析定价表现,包括成交/失败分析
查看英文原文
About the Role
Abnormal AI is looking for a Principal, Pricing & Packaging to own how we price our platform, starting with our email security bundles and extending into a new wave of products we're rolling out that will need their own pricing models, including whether a consumption or credit-based approach makes sense for them. This isn't a one-time project. You'll continuously reassess pricing and packaging across our existing portfolio, not just when something new launches, and bring forward changes as the market and competitive landscape shift. You'll own the pricing and packaging recommendation, work with senior leadership to turn that recommendation into a decision, and then stay involved through implementation with our Sales Operations, Billing, and CPQ teams. It's a cross-functional, high-visibility role for someone who has done this before and wants to shape how a fast-growing cybersecurity company prices its products.
What You Will Do
- Recommend packaging, pricing, and metering for our email security bundles: how many bundles we offer, what's in each one, what each costs (or the a la carte price if it stays unbundled), and what unit that price is tied to.
- Do the same for a new line of products we're rolling out that will need different pricing models. Decide whether pricing should be based on a count (like number of users or units) or on usage (like volume consumed), and if it's a count, define that unit clearly enough that customers can't game it. Bring a real point of view on whether a credit-consumption model makes sense here.
- Beyond those two areas, continuously review and reassess pricing and packaging across our full existing product portfolio, not just at launch, and bring forward changes as the market or competitive landscape shifts.
- Build and run a pricing decision-making cadence with senior leadership: a standing meeting, a clear turnaround time on recommendations, and an escalation path, so pricing decisions get made on a predictable schedule instead of stalling in ad hoc review.
- Once a decision is made, work directly with our Sales Operations, Billing, and CPQ teams to get it implemented, including rate cards, CPQ configuration, and contract templates. Stay hands-on through execution rather than handing it off.
- Train our sales team on pricing strategy, packaging rationale, and negotiation guardrails, so reps can confidently defend value-based pricing in the field.
- Analyze pricing performance, including win/loss trends, discounting patterns, deal size, and competitive positioning, to find where a pricing or packaging change would improve win rates or revenue.
- Benchmark against competitors and adjacent markets to keep our pricing model current and defensible.
- Use AI tools to model pricing scenarios, analyze deal and usage data, and speed up competitive research.
Must Haves
- 10+ years of experience in pricing strategy, packaging, or monetization, ideally in B2B SaaS or cybersecurity. This is a senior hire, not someone's first pricing role.
- A proven track record owning pricing end to end, from recommendation to decision to implementation, rather than handing off analysis and moving on.
- Direct experience with usage-based, consumption-based, or credit-pool pricing models, ideally for AI or security products.
- Experience managing pricing across an existing multi-product portfolio, not just at a single product launch, including knowing when to revisit a pricing decision that's already live.
- Strong quantitative and analytical skills: you can build pricing models, analyze deal and discount data, and turn that analysis into a clear, defensible recommendation.
- The ability to influence senior stakeholders without having direct authority over Product, Sales, or Finance, and comfort working in a model where you make the recommendation but someone else makes the final call.
- Experience partnering with Sales Operations, Billing, and CPQ teams to put pricing changes into practice.
Nice to Have
- Experience in cybersecurity or enterprise security software.
- MBA or equivalent strategy, finance, or consulting background.
- Hands-on experience with CPQ platforms (Salesforce CPQ) and deal desk processes.
- Experience scaling pricing as a company moves from single-product to multi-product.
#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:
$172,100—$247,500 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.