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 Role:
StarTree is a leading provider of real-time data analytics platform, empowering businesses to make data-driven decisions. The Product team is responsible for creating, delivering and capturing value with cloud-ready StarTree products (powered by Apache Pinot). This role offers a lot of opportunities to make an impact, so while there are basic guidelines of responsibilities, out-of-the-box ideas and initiatives are highly welcomed and encouraged.
We are seeking a talented and experienced Product Manager to lead the development and growth of our StarTree ThirdEye product, an advanced anomaly detection and monitoring platform.
Responsibilities:
- Product Strategy and Vision:
- Develop and communicate a clear product vision and strategy for StarTree ThirdEye.
- Conduct market research to identify customer needs, market trends, and competitive landscape.
- Define and prioritize product features, enhancements, and roadmaps.
- Product Development:
- Collaborate with engineering, design, and data science teams to deliver high-quality product releases.
- Write detailed product requirements and user stories.
- Ensure timely delivery of product features and updates.
- Customer Focus:
- Engage with customers to understand their use cases, pain points, and feedback.
- Conduct user interviews, surveys, and usability tests to gather insights.
- Advocate for customer needs within the organization.
- Cross-Functional Collaboration:
- Work closely with sales, marketing, and customer success teams to ensure product alignment with business goals.
- Develop go-to-market strategies and product positioning.
- Provide training and support to internal teams on product features and benefits.
- Data-Driven Decision Making:
- Define and track key product metrics to measure success and inform decision-making.
- Analyze usage data, customer feedback, and market trends to drive continuous improvement.
- Conduct A/B testing and experiments to validate hypotheses and optimize features.
- Communication and Reporting:
- Communicate product status, updates, and key decisions to stakeholders.
- Prepare and present product roadmaps, progress reports, and performance metrics.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, Business, or a related field; MBA or advanced degree is a plus.
- 3+ years of experience in product management, preferably in the data analytics or enterprise software space.
- Strong understanding of anomaly detection, monitoring, and data analytics technologies.
- Experience with machine learning and data science concepts is highly desirable.
- Proven track record of successfully launching and managing complex software products.
- Excellent communication, presentation, and interpersonal skills.
- Strong analytical and problem-solving abilities.
- Ability to work effectively in a fast-paced, dynamic environment.
- Experience with agile development methodologies.
Preferred Skills:
- Familiarity with open-source software development.
- Knowledge of the real-time and big data ecosystem, including technologies like Hadoop, Spark, Apache Pinot and Kafka.
- Experience with cloud platforms such as AWS, GCP, or Azure.
The base salary range for this US full-time position is $150,000 - $200,000, subject to standard withholding and applicable taxes. Additionally, new hires receive competitive and compelling equity grants, and access to a comprehensive benefits offering. The base salary range reflects the minimum and maximum target for candidates. The Salary and Equity compensation offered may vary depending on factors including: location, skills, experience, and the assessment process.
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!
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.
