Senior Product Manager, Data Platform

About Anomalo
Data management solutions accounted for more than one-fifth of all enterprise infrastructure spend in 2021. The “modern data stack” promises a centralized data platform for powering valuable new applications, from AI-powered products to real-time analytics. 

Unfortunately, a big problem stands in the way of most data projects and products – the issue of data quality. Rules-based data quality approaches that worked when data was small and tightly controlled don’t scale. And with more data sources, transformations, and users, quality issues are multiplying fast. The vast majority of issues go uncaught—until they lead to an expensive fire drill.

Anomalo is a SaaS solution that plugs directly into the modern data stack and automatically monitors tables for a wide range of data quality issues. Our software uses unsupervised learning to catch deep problems in the data, like sudden changes in the distribution, that aren’t covered by static rules or basic observability. With built-in root cause analysis, Anomalo shows not only whether data is anomalous but also why and what the impact is. This prevents data issues from reaching dashboards, reports, and products, while data teams spend less time debugging and more time building.

We’re rapidly growing and work with some of the biggest brands leveraging data today, like Block, Discover Financial Services, Buzzfeed, and Notion. The company has raised over $39M in seed and Series A funding backed by top-tier venture firms like Norwest Venture Partners, Foundation Capital, Two Sigma Ventures, and First Round Capital. 

Anomalo is building the platform that data-driven companies need to be able to make good data-driven decisions, and would love to have you join for the ride.

The Data Platform team is responsible for the environment in which our ML and non-ML based quality checks operate. This means that it is a core product team - not a data aggregation/ETL/report generation team. The team owns the code that connects to all of the data sources Anomalo supports as well as any features built on top of those data sources such as table metadata aggregation or data lineage.

In addition to leading product for the Data Platform Team, the Senior Product Manager will work with the Applied ML team and Applications team to identify and prioritize features and enhancements related to our data platform.

The Senior Product Manager will also work closely with customer success, sales engineering, and product marketing to understand customer and prospect needs, launch and evangelize product features, and ensure that our data platform based products are meeting customer needs. The ideal candidate will have a strong technical background, with experience working in data-driven companies, as well as a proven track record of successful product management. They will also possess excellent communication and collaboration skills to work effectively with cross-functional teams.

 What you'll do at Anomalo:

• Develop a product roadmap for the data platform team and leading the engineering team in executing on that roadmap
• Drive a customer-centric approach to product development, eliciting non-obvious customer needs, synthesizing research to gain a deep understanding and narrow definition of a problem
• Collaborate closely with cross-functional teams, including engineering, design, and customer-facing teams, to ensure that products are developed and launched successfully
• Deeply understand the technical constraints, user needs, and business requirements that shape the product, and leveraging this understanding to make informed decisions
• Create a great team morale and work environment that fosters creativity, collaboration, and innovation

What you'll bring to the team:

• 4+ years of experience as a Product Manager or related data product role
• Strong track record of shipping impactful products related to complex data-related workflows
• Sense of urgency, ownership mindset, and data-driven decision making skills
• Ability to go deep on technical topics within the data engineering space (i.e., data lake/data warehouse infrastructure, VPC deployments, etc.)
• Excellent written and verbal communication skills, with an ability to clearly communicate goals, timelines, decisions, and tradeoffs to keep teams and stakeholders aligned
• Ability to conduct user and market research and identify features to improve the product, and define and monitor feature metrics using data to recommend improvements.

Ideal candidates will also have:

• Experience working at an enterprise B2B SaaS company
• Ability to interface with technical external customers and articulate customer needs
• Technical acumen, with a CS or technical background or experience working on a technical software pr