资深软件工程师
Staff Software Engineer
**我们是谁**
Zeta Global（NYSE: ZETA）是基于人工智能的营销云平台，利用先进的人工智能（AI）和数万亿的消费者数据信号，帮助营销人员更高效地获取、增长和保留客户。通过 Zeta 营销平台（ZMP），我们的愿景是通过将身份识别、智能分析和全渠道激活统一到一个平台上——由行业内最大的专有数据库和 AI 提供支持，使复杂的营销变得简单。我们跨多个垂直领域的企业客户能够通过每个渠道为每位消费者提供个性化体验，从而提升营销项目的成效。Zeta 由 David A. Steinberg 和 John Sculley 于 2007 年创立，总部位于纽约市，并在全球设有办公室。了解更多，请访问 [www.zetaglobal.com](https://www.zetaglobal.com)。
**职位描述**
我们正在招聘多名高级工程师加入一个小型、高性能团队，该团队支持 Sailthru、LiveIntent 和 WhatCounts 的工程组织——这三个平台构成了 Zeta Actions，是 Zeta Global 内的一个业务单元。这是一个高度技术性的角色。你将大部分时间花在代码、架构以及这些团队在构建和运营服务于品牌和出版商的大规模平台时遇到的难题上。
高级工程师以多种方式与团队互动——作为复杂项目的技术合作伙伴，作为高优先级任务的直接贡献者，或作为遇到架构瓶颈的团队的随时可用专家。共同点是，当事情变得困难时，团队希望你在现场。
**为什么选择这个职位**
- 真实的规模和复杂性 —— 数十亿条消息、实时流量、有意义的性能和可靠性约束。
- 生成式 AI 是我们工作的一部分 —— 我们在整个工程团队中采用了 AI 辅助开发，期望高级工程师对这些工具熟练掌握，而不仅仅是了解。
- 积极投资 AI 工程 —— 你将参与塑造如何将 AI 能力构建到平台本身中，而不仅仅是在自己的工作中使用它们。
- 真实的自主权 —— 你不会被分配一个待办事项列表。你将被期望发现重要的问题，提出解决它们的理由，并推动其解决。这里最优秀的高级工程师会自己创造杠杆效应。
- 好奇心是这个团队的首要特质。我们重视工程师
查看英文原文
**WHO WE ARE**
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to [www.zetaglobal.com](https://www.zetaglobal.com).
**The Role**
We're hiring multiple Staff Engineers to join a small, high-performance group supporting the engineering organizations behind Sailthru, LiveIntent, and WhatCounts — the three platforms that make up Zeta Actions, a business unit within Zeta Global. This is a deeply technical IC role. You'll spend most of your time in the code, the architecture, and the hard problems these teams run into as they build and operate platforms that serve brands and publishers at massive scale.
Staff Engineers engage with teams in a few different ways — as a technical partner on complex projects, as a hands-on contributor to high-priority initiatives, or as an on-demand expert for teams that hit an architectural wall. The common thread is that you're someone teams want in the room when things get hard.
**Why This Role**
- Real scale, real complexity — billions of messages, live traffic, meaningful performance and reliability constraints.
- Generative AI is part of how we work — we've adopted AI-assisted development across the engineering organization and expect our staff engineers to be fluent in these tools, not just aware of them.
- Active investment in AI engineering — you'll help shape how we build AI capabilities into the platform itself, not just use them in your own workflow.
- Real autonomy — you won't be handed a backlog. You'll be expected to find the important problems, make the case for solving them, and drive them to resolution. The best staff engineers here create their own leverage.
- Curiosity is a first-class trait on this team. We value engineers who read widely, ask uncomfortable questions, and aren't satisfied with how things work until they understand why.
**What You'll Do**
**Technical Leadership**
- Identify systemic engineering challenges across our platforms and drive their resolution — shaping the technical backlog and near-term architecture.
- Propose and validate technical approaches for problems involving scale, performance, security, or cross-team dependencies.
- Lead architectural decisions for complex, ambiguous, or high-risk initiatives.
- Incorporate modern industry patterns — including AI/ML tooling — into our technical strategy where it genuinely moves the needle.
**Hands-On Execution**
- Write code, review PRs, debug production issues, and optimize system performance — this is not a whiteboard-only role.
- Dive deep into our AWS infrastructure, Kubernetes workloads, and JVM-based services to find and fix what's actually wrong.
- Participate in our on-call rotation as a second-level escalation point for complex engineering incidents.
- Step in during large incidents to help teams triage, coordinate, and resolve — and follow through with post-incident reviews that drive lasting fixes.
- Champion operational excellence across our engineering teams: observability, reliability, deployment practices, and the operational habits that keep systems healthy at scale.
**Cross-Team Influence**
- Partner with engineering teams as a technical point of contact on complex projects — ensuring good architectural decisions get documented and don't have to be re-litigated.
- Work directly with Engineering Managers to align technical work with team and product priorities.
- Mentor engineers across our teams, raising the technical floor through reviews, pairing, and direct feedback.
- Stay close to the customer. Understand how Sailthru's platform affects the people using it, bring that context into technical decisions, and push back when engineering choices create friction for customers.
- Partner closely with the product team — contribute to shaping what gets built, not just how. The best technical decisions happen when engineering and product are thinking together from the start.
**What You'll Bring**
- Deep, battle-tested expertise in AWS and cloud-native architecture — you know how to build reliable, scalable systems at real traffic volumes.
- Strong JVM fundamentals, primarily Java and Kotlin, with the range to work across languages as the problem demands.
- Hands-on Kubernetes experience — deploying, operating, and troubleshooting workloads in production.
- Experience designing and operating distributed systems — fault tolerance, consistency tradeoffs, service coordination, and failure modes at scale.
- Comfort working with large databases at scale — query optimization, schema design, operational concerns, and the tradeoffs between data storage approaches.
- Practical experience with AI/ML engineering — whether integrating LLM capabilities, building pipelines, or evaluating where AI actually helps vs. adds complexity.
- A track record of delivering large, complex initiatives in ambiguous environments — scoping, driving alignment, and shipping.
- Strong debugging instincts and a bias toward root-cause analysis over symptomatic fixes.
- The judgment to know when to push for the right solution and when pragmatism wins.
- Fluency with AI-driven development tools — Claude Code, GitHub Copilot, Codex, or similar — is a firm requirement. We use these tools daily and expect staff engineers to be effective with them and to model best practices around prompt discipline, output validation, and security.
- Comfort operating without a playbook — you've solved novel problems before and know how to navigate uncertainty.
- Comfort working in and around legacy codebases — you can read unfamiliar code, understand systems that predate you, and make meaningful improvements without needing a rewrite.
- The ability to quickly map an existing architecture — identify bottlenecks, constraints, and opportunities — and turn that understanding into concrete, actionable proposals that increase team velocity.
- You think big. You're not constrained by how things are done today — you can envision meaningfully better outcomes and work backwards from them to find a path.
- Bias for action. You'd rather move with imperfect information and course-correct than wait for certainty that never comes. You know the difference between a reversible decision and one that warrants more care.
_Experience with PHP or Python is a plus. Familiarity with high-volume messaging infrastructure or email/marketing tech is welcome but not required. Knowledge of the Databricks platform and data engineering practices (pipelines, lakehouses, batch and streaming processing) is a bonus._
**Working Here**
This role sits within Zeta Actions — the Zeta Global business unit encompassing Sailthru, LiveIntent, and WhatCounts. We're remote-first with engineers across the US. The scale of what these platforms do — high-volume delivery, real-time identity resolution, personalization at billions of touchpoints — means the problems are genuinely hard. If that's what energizes you, we'd like to hear from you.
**BENEFITS & PERKS**
- Unlimited PTO
- Excellent medical, dental, and vision coverage
- Employee Equity and Stock Purchase Plan
- Employee Discounts, Virtual Wellness Classes, andPet Insurance And more!!
**SALARY RANGE**
The salary range for this role is $160,000 - $180,000, depending on location and experience.
**PEOPLE & CULTURE AT ZETA**
Zeta considers applicants for employment without regard to and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.
We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: [https://zetaglobal.com/blog/a-look-into-zetas-ergs/](https://zetaglobal.com/blog/a-look-into-zetas-ergs/)
**ZETA IN THE NEWS!**
[https://zetaglobal.com/press/?cat=press-releases](https://zetaglobal.com/press/?cat=press-releases)
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