Product Manager

US TIME ZONES /PRODUCT /REMOTE

About Datafold

At Datafold, we build tools for data practitioners to automate the most error-prone and time-consuming parts of the data engineering workflow: testing data to guarantee its quality. While data quality (just like software quality) is a complex and multifaceted problem, we draw from decades of our team’s combined experience in the data domain to build opinionated tools our users love. Specifically, we believe that:

Data quality is a byproduct of a great data engineering workflow. That means, rather than building yet-another-app for data practitioners to switch to and from, we insert our tools in the existing workflows, for example, in CI/CD for deployment testing and IDEs for testing during development.

Data quality issues should be addressed before deploying the code. Most data quality issues are bugs in the code that processes data, and applying a proactive, shift-left approach is the most effective way to achieve high shopping velocity and data quality simultaneously. Read more

Lack of metadata (data about data) is the biggest gap in the data engineering workflow. We bring powerful tools such as data diffing and column-level lineage to every data engineer’s workflow to help them validate the code and underlying data and fully understand the dependencies in complex data pipelines.

Datafold is used by data teams at Patreon, Thumbtack, Substack, Angellist, among others, and raised $22M from YC, NEA & Amplify Partners.

About the role

We are looking for a Product Manager who has 3+ years of experience and who is passionate about creating tools that enable data professionals. In this leadership role, you will actively communicate with our current and prospective customers, engage with the larger data community, and partner with internal teams to define and prioritize the roadmap. You will own the entire feature and product lifecycle from ideation, specs and UX design to development, launch and analytics.

An ideal candidate for the role would have hands-on experience in the data and/or developer tools domains and demonstrated formal or informal leadership, systematic thinking and excellent verbal and written communication abilities.

What you’ll do

• Collaborate closely with the founders, Sales, Customer Success teams to synthesize product vision and roadmap

• Work closely with the Engineering team to plan and guide execution

• Actively engage with our current and prospective customers, data community, and thought leaders to identify key trends, challenges and turn them into product and business opportunities.

• Partner with Customer Success & Product Marketing teams on launches to maximize the adoption of the new functionality.

• Define, implement and measure success metrics for features and products using modern data stack.

• Provide thought leadership through writing posts, speaking at meetups, conferences, and podcasts.

What we value

• Technical background: STEM, hands-on Software Engineering / Data Science experience strongly preferred. You will need that to make thoughtful decisions and navigate complex trade-offs with Engineering.

• Hands-on experience in Data/Analytics Engineering, Data Science is important to empathize with our users and make data-driven product decisions.

• Ability to lead and influence in a cross-functional environment. You make things happen.

• Strategic thinking and intellectual curiosity. Data domain evolves faster than even insiders can keep track of. You will need to stay on top of and leverage the latest technology, cultural and business trends.

• Attention to detail and an eye for beauty. You can not only tell a good UX from a bad one but can deconstruct that into design patterns and spot details that matter.

• Excellent written and verbal communication. You can effectively present your ideas and be the face of the product you create.

Datafold is an equal opportunity employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, marital status, military status, or any other protected characteristic. We are committed to providing equal employment opportunities to all individuals. We strive to create an inclusive and diverse work environment where all employees are valued and unique perspectives are respected and celebrated.

Phone Screen

This stage is a more informal call to get to know more about the role, and for you to evaluate whether it’s a good fit for you. We are looking for people with a strong interest in startups and motivation to help them; this is usually exhibited by past experience working at or starting one yourself.

Hiring Manager Interview

This conversation will cover some light technical discussion about your past projects. Mostly, we want to learn about your technical background in hands-on data/analytics/engineering and speak to them with clarity on the details. This tends to be a good indication that you have/had strong ownership and showed autonomy in navigating complex trade-offs with Engineering.

Technical Screen

This process is a deeper dive into technical abilities, product thinking, and overall fit. For the “fit” portion, we are again looking for ownership and autonomy, but we also dig deeper into communication. This is evaluated throughout the process -- in how you communicate your approach, solutions, and overall thinking.

In general, it helps to have read a bit about Datafold, and Case Studies and have an interest in the products we build. We offer feedback to candidates who request it and relate the feedback to the skills/qualifications and interview process above.

Timing

The typical interview process can take up to a month from start to finish. This tends to be mostly based on our engineering team’s availability. That said, we have moved more quickly and look to accommodate candidates who might have a short timeline or competing offers. The more information you can share about your situation and where you are in the process, the more we can either attempt to expedite or save you time if we cannot.