工程经理，商品目录
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Engineering Manager, CatalogInstacart · Canada - Remote (ON, AB, BC, or NS Only)
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发现指数 52/100，仅依据与该职位一起存储的证据计算。
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分数构成
- 时效性 （随职位发布时间变化）+18
- 雇主官方来源+15
- 远程职位+8
- 稀有职位+3
- 公司来源健康度+8
该职位未包含：已披露薪资、提及签证担保、提及搬迁、未出现在监控的职位板上。
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职位描述
机器翻译我们正在改变食品杂货行业
在 Instacart，我们邀请全世界通过食物分享爱，因为我们相信每个人都应该能够获得自己喜爱的食物，并有更多时间一起享用。在别人看到简单的食品杂货配送需求之处，我们看到的是令人兴奋的复杂性和无限的机会，来服务我们社区多样化的需求。我们致力于提供一项客户赖以获取食品杂货和家庭用品的必要服务，同时也为 Instacart Personal Shoppers 提供安全且灵活的赚钱机会。
Instacart 已成为数百万人的生命线，我们正在组建团队，帮助推动我们的购物车向前。如果你准备好做你一生中最出色的工作，欢迎加入我们的餐桌。
Instacart 是一个 Flex First 团队
在如何最好地开展工作方面，没有一刀切的方法。我们的员工可以灵活选择在哪里发挥最佳工作状态——无论是在家、办公室，还是你最喜欢的咖啡店——同时通过定期的线下活动保持联系并建立社区。进一步了解我们在工作地点方面的灵活方式。
概述
Instacart 是北美在线食品杂货领域的领导者，我们正在为食品杂货行业构建操作系统，让人们能够获得自己喜爱的食物，并有更多时间一起享用。
我们正在寻找一位工程经理来领导我们的 Catalog Enrichment 团队。该团队构建 AI 原生平台和流水线，用于在来自 100,000 多个零售商门店、数千万种产品的目录中创建、丰富和维护产品属性。目录数据是我们市场的基础：当属性完整且准确时，搜索会返回正确结果，推荐会更具个性化，广告主也能更有信心地进行定向。
在这个职位中，你将领导一支工程师团队，构建将大型语言模型、经典推理、工作流编排和人工审核融合为可配置流水线的系统，使非工程师也能运行这些流水线。你还将负责面向 ML 的目录数据接口，包括管理属性如何在下游模型和客户界面之间获取、共享和授权的政策。你将与 ML、产品、运营、搜索、广告和零售商团队紧密合作，在 Instacart 生态系统中推动可衡量的影响。
关于该职位
这是一个快节奏、高度跨职能的环境。如果你喜欢大规模构建平台、将模糊性转化为清晰性，并在解决棘手技术问题的同时指导工程师，你会在这里如鱼得水。
• 领导、指导和培养一支工程师团队，构建支撑目录丰富化以及 ML 访问目录数据的平台、流水线和接口。
• 定义并执行技术路线图，在不断增长的用户群中平衡新的平台投资与可靠性、可观测性和开发者体验。
• 构建并运营一个 AI 原生丰富化平台，将 LLM、经典 ML、规则、工作流编排和人工审核融合为非工程师可配置和运行的流水线。
• 推动向自主流水线构建演进，让用户用自然语言表达目标，系统则组装、评估并优化工作流。
• 负责面向 ML 的目录数据层，包括规范产品元数据，以及将内部模型输入与面向客户用例区分开的策略控制。
• 与 ML、搜索、广告、商务和零售商团队合作，端到端简化数据流并消除集成摩擦。
• 倡导清晰、人类可读的控制项，用于来源优先级、权利管理、授权和合规，以确保治理可审计。
• 通过 AI 辅助集成测试、调查工具和 on-call 自动化提升开发者和运营人员生产力；为核心属性和模型使用设定并达成 SLA。
• 亲身参与架构讨论、设计评审和代码评审，尤其是在新的或探索性领域。
任职要求
• 7 年以上软件工程经验，其中包括 2 年以上作为人员领导者管理工程师的经验。
• 有领导构建和运营生产数据或 ML 平台团队的经验，包括批处理和流式组件。
• 在分布式系统、数据流水线和工作流编排方面有扎实基础，并展现出构建/购买/合作决策能力。
• 负责过数据质量、覆盖范围或合规承诺，并有用于达成这些承诺的框架和流程示例。
• 出色的书面和口头沟通能力，包括能够为不同受众转化复杂技术工作的能力。
• 有在大规模运营的目录、商务或产品数据平台方面的经验。
• 有工作流编排系统（例如 Temporal、Airflow、Flink）的实操经验，并在生产环境中运行它们。
• 有在生产环境中交付应用型 AI/ML 功能的经验，并理解 LLM、经典 ML、确定性规则和人工审核之间的权衡。
• 已证明成功与 ML、产品和运营跨职能合作，交付需要协调一致和共同目标的结果。
• 熟悉多利益相关方环境中的数据治理、权利管理和授权控制。
• 有构建流水线构建器、低代码/无代码工具或供非工程师使用的内部平台的经验。
• 具备开发者生产力工具背景，包括 AI 辅助测试和调查工作流。
• 有在平台和团队都在快速演进的快速增长环境中成功运营的经验。
#LI-Remote Instacart 在我们员工工作的每个地点都提供极具市场竞争力的薪酬和福利。该职位为远程职位，成功候选人的基本薪资范围取决于其长期工作地点。请在此查看我们的 Flex First 远程工作政策。目前，我们仅在以下省份招聘：Ontario、Alberta、British Columbia 和 Nova Scotia。
录用条件可能因许多因素而异，例如候选人的经验和该职位所需的技能。此外，该职位有资格获得新员工股权授予以及年度 refresh grants。请在此进一步了解我们的福利。
对于加拿大候选人，成功候选人的基本薪资范围如下。
CAN $196,000 — $207,000 CAD
以上内容由机器翻译自动生成，可能存在错误；投递前请以雇主原文为准。
查看雇主原文
职位描述
We're transforming the grocery industry
At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.
Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.
Instacart is a Flex First team
There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.
Overview
Instacart is the North American leader in online grocery, and we’re building the operating system for the grocery industry so people can access the food they love and more time to enjoy it together.
We’re looking for an Engineering Manager to lead our Catalog Enrichment team. This team builds the AI-native platform and pipelines that create, enrich, and maintain product attributes across a catalog of tens of millions of products from more than 100,000 retailer locations. Catalog data is the foundation of our marketplace: when attributes are complete and accurate, search returns the right results, recommendations feel personal, and advertisers can target with confidence.
In this role, you’ll lead a team of engineers building systems that blend large language models, classical inference, workflow orchestration, and human review into configurable pipelines that non-engineers can run. You’ll also own the ML-facing interfaces to catalog data, including policies that govern how attributes are sourced, shared, and licensed across downstream models and customer surfaces. You will partner closely with ML, product, operations, search, ads, and retailer teams to drive measurable impact across Instacart’s ecosystem.
About the Job
This is a fast-paced, highly cross-functional environment. You’ll thrive if you enjoy building platforms at scale, turning ambiguity into clarity, and mentoring engineers while rolling up your sleeves on hard technical problems.
• Lead, mentor, and grow a team of engineers who build the platform, pipelines, and interfaces that power catalog enrichment and ML access to catalog data.
• Define and execute the technical roadmap, balancing new platform investments with reliability, observability, and developer experience for a growing user base.
• Build and operate an AI-native enrichment platform that blends LLMs, classical ML, rules, workflow orchestration, and human review into pipelines non-engineers can configure and run.
• Drive the evolution toward autonomous pipeline construction, where users express goals in plain language and the system assembles, evaluates, and optimizes workflows.
• Own the ML-facing catalog data layer, including canonical product metadata and the policy controls that separate internal model inputs from customer-facing use cases.
• Partner with ML, search, ads, commerce, and retailer teams to streamline data flows end to end and remove integration friction.
• Advocate for clear, human-readable controls for source prioritization, rights management, licensing, and compliance to ensure auditable governance.
• Boost developer and operator productivity via AI-assisted integration testing, investigation tooling, and on-call automation; set and meet SLAs on core attributes and model usage.
• Contribute hands-on to architecture discussions, design reviews, and code reviews, especially in new or exploratory areas.
任职要求
• 7+ years of software engineering experience, including 2+ years managing engineers as a people leader.
• Experience leading teams that build and operate production data or ML platforms, including both batch and streaming components.
• Strong foundation in distributed systems, data pipelines, and workflow orchestration, with demonstrated build/buy/partner decision-making.
• Ownership of data quality, coverage, or compliance commitments, with examples of frameworks and processes used to meet them.
• Excellent written and verbal communication skills, including the ability to translate complex technical work for diverse audiences.
• Experience with catalog, commerce, or product data platforms operating at large scale.
• Hands-on experience with workflow orchestration systems (e.g., Temporal, Airflow, Flink) and running them in production.
• Experience shipping applied AI/ML features in production and understanding trade-offs across LLMs, classical ML, deterministic rules, and human review.
• Proven success partnering across ML, product, and operations to deliver outcomes that require alignment and shared goals.
• Familiarity with data governance, rights management, and licensing controls in multi-stakeholder environments.
• Experience building pipeline builders, low-code/no-code tooling, or internal platforms used by non-engineers.
• Background in developer productivity tooling, including AI-assisted testing and investigation workflows.
• Success operating in fast-growing environments where both the platform and team are evolving.
#LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here . Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here .
For Canadian based candidates, the base pay ranges for a successful candidate are listed below.
CAN $196,000 — $207,000 CAD