工程主管，AI平台
Head of Engineering, AI Platform
### **关于 Starburst**
Starburst 通过为组织提供安全、受控的数据访问，实现大规模的企业智能。针对分布式数据环境构建，Starburst 帮助企业无需传统数据整合的成本和复杂性即可推动 AI 和分析。凭借 Trino 和 Apache Iceberg 等开放标准，Starburst 使组织能够获得完整的企业上下文信任访问，同时避免供应商锁定。全球领先的大型企业都信赖 Starburst 来驱动 AI、分析和企业智能。了解更多信息，请访问 [starburst.ai](http://starburst.ai)。
##### 关于 SAIL
Starburst 帮助世界最大的企业访问和分析他们所在任何地方的数据。SAIL 是 AIDA 的开发团队，AIDA 是 Starburst 的 AI 产品，允许企业用户用自然语言向数据提问并获得可信的答案。我们的 AI 运行在世界上最具挑战性的企业环境中，这意味着它必须达到大多数 AI 产品从未面对的标准。答案必须准确、安全、可审计且快速。
##### 关于该职位
印度的 SAIL 平台从你开始。这不是一个附属团队。你将负责一个项目，招聘交付该项目的工程师，并对客户感受到的结果负责。
该项目是代理平台，包含三个方向。
1. **内部代理平台**。这是 Starburst 当前团队构建代理的基础，涵盖代理 SDK、评估框架、防护机制和模型服务基础设施。你的用户是 Starburst 自己的工程师，他们的反馈会在数小时内到达，而不是季度。
2. **扩展至客户。** 将内部验证有效的部分进行强化，以满足客户使用场景。这意味着多租户、安全边界以及足够稳定的 API 以在我们无法控制的环境中运行。
3. **可观测性。** 代理做了什么、为什么这么做、成本如何以及表现如何，面向两种受众。内部团队需要它来调试和改进；外部客户需要它来信任代理处理生产任务。
你将按顺序服务两个客户群体，首先是内部代理团队，然后是随着平台成熟后的企业客户。
你将是一个教练型参与者。在最初的几个月里，你将与你招聘的第一批员工一起构建。随着团队壮大，你将转向领导角色，但你永远不会远离代码。
##### 作为 Starburst 的 AI 平台工程负责人，你将：
- 负责代理平台的建设
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### **About Starburst**
Starburst delivers enterprise intelligence at scale by giving organizations secure, governed access to all their data, wherever it lives. Built for distributed data environments, Starburst helps enterprises power AI and analytics without the cost and complexity of traditional data consolidation. With open standards including Trino and Apache Iceberg, Starburst enables trusted access to complete enterprise context while helping organizations avoid vendor lock-in. Leading global enterprises trust Starburst to fuel AI, analytics, and enterprise intelligence. Learn more at [starburst.ai](http://starburst.ai).
##### About SAIL
Starburst helps the world's largest enterprises access and analyze their data wherever it lives. SAIL is the team behind AIDA, Starburst's AI product that lets enterprise users ask questions about their data in plain English and get trusted answers. Our AI runs in some of the most demanding enterprise environments in the world, which means it has to meet a bar most AI products never face. Answers must be correct, safe, auditable, and fast.
##### About the role
SAIL Platform in India starts with you. This is not a satellite team. You will own a charter, hire the engineers who deliver it, and be accountable for outcomes that customers feel.
The charter is the agent platform, and it has three arcs.
1. **Internal agent platform.** The foundation Starburst's own teams build agents on today, spanning the agent SDK, evaluation frameworks, guardrails, and model serving infrastructure. Your users are Starburst's own engineers, and their feedback lands in hours, not quarters.
2. **Extending it toward customers.** Take what proves itself internally and harden it for customer-facing use cases. That means multi-tenancy, security boundaries, and APIs stable enough to run in environments we do not control.
3. **Observability.** What an agent did, why it did it, what it cost, and how well it performed, for both audiences. Internal teams need it to debug and improve; external customers need it to trust agents with production workloads.
You serve two customer bases in sequence, internal agent teams first, external enterprises as the platform matures.
You will be a player-coach. In the first months you will build alongside the first hires you make. As the team grows, you will shift toward leading, but you will never be far from the code.
##### As the Head of Engineering, AI Platform at Starburst you will:
- Own the agent platform roadmap, from internal foundation to customer-facing capabilities, and deliver it
- Hire and grow a team of senior engineers in India, and set the technical bar through your own work
- Make architecture decisions for the agent SDK, evaluation, guardrails, serving, and observability, with the internal-to-external evolution in mind from day one
- Run the platform like a product in production, with an on-call rotation, incident response, and a culture of root-cause analysis over quick patches
- Operate autonomously across time zones, making the call when counterparts are offline, documenting the reasoning, and aligning when they come back online
- Work with US-based product, agent, and research teams as peers who shape decisions together, and with engineering leaders across Starburst to redefine how we build, test, and ship software with agents in the loop
- Engage directly with enterprise customers when platform capabilities are on the line
##### Some of the things we look for:
- You have led an engineering team through a full cycle, hiring it and raising the bar with each hire, shipping with it, and growing the people on it. Typically this means 10+ years of engineering with 3+ leading, but we weight the evidence over the years
- You have built platform or infrastructure products that served multiple engineering teams, and you can talk concretely about the interface contracts, the adoption curve, and what you intentionally left out
- You have run LLM systems in production and know the difference between a demo and a system enterprises trust. That includes the unglamorous parts of LLMOps, timeout and retry design, token cost discipline, latency budgets, capacity, and the different ways models fail
- You can articulate what you adopted, what you waited on, what you built yourself, and why, in a field that changes every quarter
- You are product curious. You ask who the user is and what they are trying to do before you ask what the architecture should be, and you have sat with users of what you built and changed course based on what you saw
##### Nice to Have:
- Experience taking an internal platform external, turning something built for your own engineers into a product customers pay for
- Experience with agentic systems, evaluation methodology, or LLM serving at scale
- Comfort across Python and JVM ecosystems
- Experience with data systems, SQL engines, or analytics products
- Experience running multiple models behind one platform (proprietary APIs and open-weight, routing and gateways, per-model quirks), including deployments in regulated environments
- Active presence in the ML/AI community in India (meetups, conferences, open source, writing), which helps us find great engineers and helps them find us
### **Build your career at Starburst**
All-Stars have the opportunity and freedom to realize their true potential. By building alongside top talent, we’re empowered to take ownership of our careers and drive meaningful change. Anchored in industry-proven technology and unprecedented success, All-Stars are taking on the challenge everyday to disrupt our industry – and the future.
Our global workforce is supported by a competitive Total Rewards program that reflects our commitment to a rewarding and supportive work environment. This includes a variety of benefits like competitive pay, attractive stock grants, flexible paid time off, and more.
We are committed to fostering an intentional, inclusive, and diverse culture that drives deep engagement, authentic belonging, and an exceptional All-Star experience. We believe that diversity of thought, perspective, background and experience will enable us to own what we do, drive our success and empower our All-Stars to show up authentically.
Starburst provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state
or local laws.