资深产品经理，AI工厂
Principal Product Manager, AI Factory
我们是谁
在 Domino，我们构建软件，帮助世界最复杂的公司交付关键任务的 AI 系统。我们的平台帮助数据科学团队加速研究、提升协作并快速部署模型——同时管理成本、风险和安全。我们的客户——如强生、葛兰素史克、百时美施贵宝、FINRA 和美国海军——正在使用我们的软件解决世界上一些最重要的挑战，例如开发新药、保障我们的金融市场或保卫我们的国家。由红杉资本和其他领先投资者支持，我们已经运营了十年，但仍是一个小团队，保持着创业公司的精神。在当今的 AI 世界中，我们认为未来仍在被创造——而我们希望成为那个建造它的人。
我们正在构建什么
Domino 是企业信任的平台，当 AI 的风险最高时。全球制药公司运行药物发现流程，排名前五的保险公司承保数十亿美元的风险，国防和情报机构重新训练关键任务系统。每一份模型都必须从创建之初就可审计、可辩护且可复现。这就是为什么 Gartner 三次将我们评为企业数据科学与 ML 平台类别中的佼佼者。
前沿模型解锁了一类新的 AI 应用，这些应用是受监管公司之前无法发布的——治理、可审计性和控制机制并不存在。Domino 正在构建这一层。作为技术产品经理，你将负责其中的功能，并塑造受监管企业 AI 的下一章。
你的影响将会是
- 推进我们的治理功能集——将模型验证、审查和审计准备直接嵌入开发生命周期，包括自动化模型文档以及对长期要求如确认和再验证的现代处理方式。
- 设计扩展框架，这是一个新的产品界面，用于将自定义功能嵌入到平台中：模型风险管理、上架、库存和审计准备文档。
- 领导下一代 AI/ML 生命周期功能，特别关注生成式 AI 和高级 AI 系统。
- 加强客户在 SaaS 和客户管理环境中部署、托管、安全和管理 Domino 的方式。
- 直接与客户高管合作——包括财富 100 强公司的首席信息官、首席技术官和首席数据官——将他们最困难的操作需求转化为实际解决方案。
查看英文原文
Who we areAt Domino, we build software that helps the world’s most sophisticated enterprises deliver mission-critical AI systems. Our platform helps data science teams accelerate research, increase collaboration, and rapidly deploy models — while managing costs, risk, and security. Our customers — like Johnson & Johnson, GSK, Bristol Myers, FINRA and the US Navy — are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or defending our country. Backed by Sequoia Capital and other leading investors we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented — and we want to be the ones building it.
What we are building
Domino is the platform enterprises trust when the stakes on AI are highest. Global pharma running drug-discovery pipelines, top-five insurers underwriting billion-dollar risk, defense and intelligence agencies retraining mission-critical systems. Every model has to be auditable, defensible and reproducible from the day it's built. This is why Gartner has recognised us three times in the Enterprise Data Science & ML Platforms category.
Frontier models have unlocked a new class of AI applications regulated companies couldn't previously ship — the governance, auditability and control primitives weren't there. Domino is building that layer. As a technical Product Manager, you'll own capabilities within it and shape the next chapter of what regulated enterprise AI looks like.
What your impact will be
- Advance our Governance feature set — embedding model validation, review and audit-readiness directly into the development lifecycle, including automated model documentation and modern takes on longstanding requirements like attestation and revalidation.
- Shape the Extensions framework, a new product surface for embedding custom capabilities into the platform: model risk management, onboarding, inventory, and audit-ready documentation.
- Lead the next generation of AI/ML lifecycle capabilities, with a specific focus on generative AI and advanced AI systems.
- Strengthen how customers deploy, host, secure and administer Domino across SaaS and customer-managed environments.
- Partner directly with customer executives — up to and including CIOs, CTOs and Chief Data Officers at Fortune 100 companies — to turn their hardest operational-AI problems into product decisions.
What we look for in this role
This role is for builders. We're looking for PMs who default to shipping, who can carry a technical conversation on their own merit, and whose past work stands up to engineering scrutiny.
- 5+ years of product management experience shipping enterprise software to developers, ML engineers, quantitative researchers, data scientists or similar practitioners — users who write code as their primary interface with the product. Non-negotiable.
- Strong technical background — computer science or an equivalent discipline — and a track record of solving hard product problems where the difficulty is intrinsic, not superficial. You operate as a peer in system design conversations, not a translator.
- Customer-first instincts. You've owned enterprise customer relationships in prior roles and are comfortable running product conversations inside large, politically complex organisations. You listen carefully, read a stakeholder map, and turn what customers actually need into product decisions.
- Execution-focused. You want to join at an inflection point, not a steady state — at your best when synthesising customer signal, market direction and technical constraint into bets that ship.
- Bonus: hands-on familiarity with data science / AI workflows, or experience shipping product into regulated environments.
What we value
- We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
- We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
- We believe in individuals who seek truth and speak the truth and can be their whole selves at work.
- We value all of you that believe improving is always possible. At Domino, everything is a work in progress – we can do better at everything.
- We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company.
The annual US base salary range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.
Compensation Range
$225,000—$300,000 USD
Originally posted on Himalayas