Engineering Manager, Data Infra

Posted Yesterday
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Hiring Remotely in Mountain View, CA
Remote
Senior level
Software
The Role
The Engineering Manager will lead a team focused on building and scaling data infrastructure systems, ensuring performance and reliability in real-time analytics. Responsibilities include mentoring engineers, participating in design discussions, promoting team culture, and collaborating on technical vision and strategy for the product roadmap.
Summary Generated by Built In

At StarTree we're a group of passionate individuals that desire to improve the lives of many by developing tools and technologies that support availability and speed in the world of real-time analytics. 

Our aim is to make it simple for every company to delight their users - external and internal - and create new revenue streams from their data, by building the world’s most comprehensive and accessible cloud analytics system.

About the Data Infrastructure Team: 

The Data Infrastructure team is the backbone of StarTree’s SaaS offering, focused on building world-class data ingestion, storage, and serving systems. This team is responsible for scaling and evolving StarTree’s Pinot Engine and the corresponding data platforms, ensuring we deliver top-tier performance and reliability. Read more about the exciting work that happens in the Data Infra team below:

  • Query-time joins in Apache Pinot
  • Reduce the cost of real-time Upserts in Apache Pinot by 10x with StarTree
  • The magic of Tiered Storage in StarTreeCloud
  • What makes Pinot fast
  • No-code batch ingestion for Apache Pinot in StarTree Cloud
  • StarTree Data Infra Team - Crafting the world’s finest Pinot

About the Role:

We are looking for an Engineering Manager with a passion for building large-scale distributed systems to join and grow our Data Infrastructure team. In this role, you will:

  • Manage, mentor, and grow a team of 5-8 high-performing engineers working on foundational real-time database infrastructure components, including storage, indexing, query execution, cluster management, and ingestion.
  • Act as a player/coach: Stay close to the technical details, participate in design discussions and reviews, while focusing primarily on supporting your team members to amplify and multiply the impact of their individual work.
  • Foster a healthy team culture: Champion your team’s successes and ensure recognition. Step in as needed to provide direction, clarity, and set the right context to create an environment where engineers thrive and projects succeed.
  • Work closely with field teams to identify investments in performance, scalability, and reliability. Collaborate with product management and leadership to drive technical vision and strategy, shaping StarTree’s roadmap to deliver compelling product differentiators and improvements.
  • Define and implement processes that promote effective communication and cross-functional collaboration. Own processes and tracking for operational excellence and project lifecycle management.
  • Partner with product marketing and open-source community leaders to support engineering participation in evangelism, content creation, and community engagement.

What We’re Looking For:

  • 7+ years of hands-on software engineering experience, with a strong background in database internals, storage systems, query optimization, or distributed data systems.  
  • Experience with technologies like Apache Pinot, Kafka, Spark, or similar real-time analytics and streaming systems.
  • Proven technical leadership experience acting as a Tech Lead or Tech Lead Manager, having led several projects with 4+ engineers while remaining hands-on. Ability to dive into complex technical details and capable of leading engineers to peak performance.
  • Excellent communication skills, humility, and a willingness to wear multiple hats to ensure team success.
  • Experience working with globally distributed and remote teams.
  • Startup experience is preferred.

Additional Information:

This role is based in Mountain View, California. We follow a hybrid work policy, with in-office collaboration on Mondays, Wednesdays, and Thursdays.

About StarTree:  

StarTree is a cloud-based software company that enables business customers to derive advanced insights from real-time and historical data. StarTree was founded by the core software engineering team and inventors of Apache Pinot, which currently powers hundreds of user-facing applications at companies across industries, including LinkedIn, Uber, Target, 7Eleven, Etsy, Walmart, WePay, Factual, Weibo, and more. StarTree Cloud has enabled even more companies to deploy and operate real-time analytics at scale, including Stripe, Sovrn, Roadie, Just Eat Takeaway.com, Dialpad, Guitar Center, Blinkit, and more.

StarTree recently announced our Series B Funding with investment from GGV Capital, Sapphire Ventures, Bain Capital Ventures, and CRV. We have been named one of The Information's 50 Most Promising Startups and one of CRN's 10 Coolest Cloud Computing Startup Companies of 2022!

Top Skills

Apache Pinot
Kafka
Spark
The Company
HQ: Mountain View, CA
60 Employees
On-site Workplace
Year Founded: 2019

What We Do

When you hear “decision maker,” it's natural to think, “C-suite,” or “executive.” But these days, we’re all decision-makers. So, yes, the CEO is a crucial decider, but the franchise owner, the student, or the big box shopper all have important choices to make, too. The difference is, those traditional decision-makers have access to relevant data to guide their thinking. All the others? Flying blind.

Our vision is to change that. We believe every decision-maker should have access to fast, fresh, actionable insights. We’re motivated to unlock what’s possible when you put the right information in the right hands at the right time. Like the restaurant owner who’s able to call in an extra cook because she can see the surge in orders coming. Or the holiday shopper who has plenty of time to pick a different gift for his loved one because he sees his original order is delayed at the moment the supplier registers a procurement delay. Or the use-case we can’t even envision yet, because it is sitting in your data, waiting to be set free.

Exposing timely information to real decision makers in intuitive apps that not only inform, but allow you to act on the information being shared. That’s how we’re unleashing the power of user-facing analytics.

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