The rise of HI-ICs | Elena Verna (Lovable)

以下是内容的中文翻译： 与她通常谈论的产品主导增长和销售话题不同，Lovable的增长负责人Elena Verna分享了她关于个人职业发展，尤其是在AI等新兴技术背景下的成长历程和见解。她首先回顾了最近的一次经历：她写的一篇关于未来12个月工作将如何变化的帖子，差点让她“被取消”（"cancelled"），这突显了她观点的争议性。 Verna曾担任过各种领导职务，管理过数百人，最近她在Lovable转型为一名个人贡献者（IC）。她称之为她“所经历过的最佳职业旅程”，其动力是渴望回归“创造”（"building"），而不是被“跨职能协作地狱”（"cross-functional collaboration hell"）和无休止的会议所困扰。她在Lovable的经历是，先是建立了一个增长职能部门，然后因为公司尝试去中心化增长模式，她被“解雇”（"fired"）了领导职务，转变为IC。尽管该职能部门正在重建，Verna仍致力于保持IC身份。 她挑战了传统的职业阶梯，认为它建立在“旧有制约”之上，即“更大的影响力……等同于手下有更多的人”。Verna回忆起15年前在Netflix的一次面试，她因为管理的人数而被拒绝，这段经历至今仍让她对“影响力应以人数衡量”的观念感到不满。她认为，“更多下属等于更大影响力”的等式正在瓦解，取而代之的是“你交付了多少，你能交付多少，这才是你所能产生的影响力”。 这种新范式将“高影响力IC”定义为，不仅仅是没有直接下属的资深人士，而是能够“发现问题、做出决策、执行……跨越所有不同职能……交付成果并对结果负责”的人。这曾是团队的职责，但现在个人也能实现。虽然资深IC角色历来涉及狭窄的职能专长（如工程架构师），但Verna认为新的IC应具备“深厚的专业知识、广阔的执行层面和业务责任”。 她解释说，这种模式突然变得可行，是由于AI。Verna颇具争议地将AI称为“平均智能”（"average intelligence"），但她强调了AI在提供“一个普通营销人员、一个普通工程师、一个普通分析师、一个普通设计师”的能力方面的强大作用。这使得IC可以在一两个领域拥有卓越的技艺，同时“其他方面足够好”，从而快速构建和学习。传统的流程——构思 -> 会议 -> 产品经理 -> 设计师 -> 会议 -> 工程师 -> 评审 -> 批准 -> 发布（耗时数月）——现在被简化为构思 -> 构建 -> 学习。Verna断言，当“构建成本低于协调成本”时，组织结构图就必须改变。 她自己转型为IC角色并非自愿；她作为经理“被解雇”（"fired out of my job"）。这最初让她感到混乱，因为她的许多身份认同都与她的管理头衔紧密相连。她纠结于升职与失去地位的问题。然而，尽管几十年来人们一直将地位与管理联系起来，她却发现自己仍在持续产生影响。她强调，所有的工作都在变化，拥抱这种变化，即使这意味着“哀悼那个曾经是最终目标的阶梯”，也能带来一份更充实、根植于自身技艺的职业。 Verna现在亲自动手构建，负责Lovable的定价和包装。她修改定价页面、构建原型、部署到生产环境、进行用户研究和执行分析，仅在需要更深入工作时才与工程师协作。这种“高压冲洗式”（"power washing"）的即时反馈满足感——她能看到自己的工作直接影响客户——让她感到无比充实。她90%的时间都用于构建或制定战略，使她摆脱了无休止的会议。 为了让组织成功赋能高影响力IC，Verna提出了五个关键条件： 1. **信息可及性：** 所有信息都必须触手可及，需要更少的管理层级和对员工的信任。例如，Lovable没有传统的经理或副总裁，而是使用Slack机器人获取信息。 2. **带有责任的授权：** IC必须拥有决策、交付和失败的权力。Verna仍然是执行团队的成员，被授权做出决策，即使这些决策可能导致耗资数百万的“有意义的失败”，只要能从中学习。 3. **职责范围不局限于职能：** IC应承担广泛的职责，不局限于单一领域（例如，Verna负责增长、核心功能、营销）。 4. **尝试成本低，争论成本高：** 实验成本应低廉，审批链应最小化，以促进快速迭代。 5. **将薪酬和地位与人数脱钩：** Verna认为IC理想情况下应该比经理获得更高的报酬，因为他们可以带来更大的影响力。她指出，一项调查中51名经理中有42人希望回到IC岗位，这表明许多人是被推向管理岗而非主动选择。她强调，由于极端的语境切换，一个人无法同时高效地担任IC和管理两种角色。 Verna总结说，AI最有趣的影响是“将影响力与人数分离”，而不仅仅是取代工作。她敦促领导者考虑这种组织变革，为个人提供重拾技艺、利用来之不易的领导才能、并在日常工作中找到活力的机会。“管理应该是一条职业道路，而非晋升，”她断言，以此挑战听众重新思考他们的职业路径和组织设计。

In a departure from her usual topics of product-led growth and sales, Elena Verna, who leads growth at Lovable, shared her personal journey and insights into growing one's career, particularly in the context of emerging technologies like AI. She opened by reflecting on a recent experience where a post she wrote about jobs changing in the next 12 months nearly got her "cancelled," underscoring the controversial nature of her views. Verna, who has previously led hundreds of people in various leadership roles, has recently transitioned into an individual contributor (IC) role at Lovable. She described this as "the best career journey" she's ever taken, driven by a desire to return to "building" rather than being bogged down by "cross-functional collaboration hell" and endless meetings. Her journey at Lovable saw her building a growth function, then being "fired" from leading it to become an IC when the company experimented with a decentralized growth model. While the function is now being rebuilt, Verna is committed to remaining an IC. She challenged the traditional career ladder, built on the "old constraint that more impact... equals more people underneath you." Verna recounted a Netflix interview 15 years ago where she was rejected due to the number of people she managed, an experience that still fuels her resentment towards the idea that impact should be judged by headcount. She argued that the equation "more reports equals more impact" is breaking, replaced by "how much you ship, how much you can ship, that's how much impact you can drive." This new paradigm defines a "high-impact IC" not merely as a senior person without direct reports, but as someone who can "find problem, make a decision, execute... across all of the different functions... ship it, and own the outcome." This was once a team's charter, but an individual can now achieve it. While staff IC roles historically involved narrow functional expertise (like engineering architects), Verna sees the new IC as having "deep expertise with broad executional surface and business accountability." The sudden feasibility of this model, she explained, is due to AI. Verna controversially termed AI as "average intelligence," but highlighted its power in providing access to an "average marketer, an average engineer, an average analyst, an average designer." This allows an IC to possess one or two areas of exceptional craft, with "good enough everywhere else" to build and learn quickly. The traditional process of Idea -> Meeting -> PM -> Designer -> Meeting -> Engineer -> Review -> Approval -> Ship (taking months) is now streamlined to Idea -> Build -> Learn. When "the cost of building falls below the cost of coordinating," the organizational chart must change, Verna asserted. Her own transition to an IC role was not by choice; she was "fired out of my job" as a manager. This was initially turbulent, as much of her identity was tied to her management title. She grappled with questions of promotion versus loss of status. However, she found continuous impact, despite the decades of conditioning that link status to management. She emphasized that all jobs are changing, and that embracing this change, even if it means "mourning that ladder" that was once the end goal, can lead to a more fulfilling career rooted in one's craft. Verna now builds things herself, taking responsibility for pricing and packaging at Lovable. She changes pricing pages, builds prototypes, deploys to production, conducts user research, and performs analysis, collaborating with engineers only for deeper work. This immediate feedback loop of "power washing" satisfaction, where she can see her work directly impacting customers, is profoundly rewarding. 90% of her time is spent building or strategizing, freeing her from endless meetings. For organizations to successfully enable high-impact ICs, Verna outlined five critical conditions: 1. **Information Accessibility:** All information must be at ICs' fingertips, requiring fewer management layers and trust in employees. Lovable, for example, has no traditional managers or VPs, using Slack agents for information. 2. **Authority with Accountability:** ICs must have the authority to decide, ship, and fail. Verna still sits on the executive team and is empowered to make decisions, even if they result in "meaningful failures" that cost millions, as long as learning occurs. 3. **Scope Isn't Defined by Function:** ICs should have broad responsibilities, not confined to a single domain (e.g., Verna does growth, core features, marketing). 4. **Cheap to Try, Expensive to Debate:** Experiments should be cheap, and approval chains should be minimized to facilitate rapid iteration. 5. **Decouple Pay and Status from Headcount:** Verna argued that ICs should ideally be paid more than managers, as they can drive greater impact. She noted that 42 out of 51 managers in a survey wanted to return to IC roles, suggesting that many were pushed into management rather than choosing it. She stressed that one cannot effectively do both IC and management simultaneously due to the extreme context shifting. Verna concluded by stating that AI's most interesting effect is "separating impact from headcount," not merely replacing jobs. She urged leaders to consider this organizational shift, providing an opportunity for individuals to return to their craft, leverage hard-earned leadership qualities, and find energy in their day-to-day work. "Management needs to be a career path, not a promotion," she asserted, challenging her audience to reconsider their career paths and organizational designs.