Every enterprise adoption of dbt begins with a set of questions that have nothing to do with SQL. Can we prove who's logging in? Can we control what they touch? Can we run this inside our own network, in our own region, under our own compliance regime? You own the answer to all of it. As the Senior Product Manager for Enterprise and Deployments, you own the trust and access layer of the dbt platform — how people and organizations authenticate, what they're authorized to do, and where the platform actually runs. That spans the identity and auth primitives underneath the product (OAuth, account discovery), the enterprise security surface customers evaluate us on (SSO, SCIM, PrivateLink), the first five minutes of every account (login, sign-up, invites, users, groups), and the deployment footprint itself, including expansion into new regions and cloud providers. This is foundational infrastructure work with an unusually short line to revenue. dbt is used by more than 100,000 open-source community members and tens of thousands of customers, and the constraint on the largest of them is rarely the product's capability — it's whether the trust layer clears their bar. When you get this right, you unlock new regions, new deployment models, and a class of customer we can't fully serve today. If you've watched a company like Auth0 turn deeply technical identity work into a product engineers actually love, this will feel familiar. You'll work across two engineering teams — IAM and Transport — and partner closely with security, infrastructure, compliance, and the field teams who live inside enterprise security reviews. dbt Labs recently merged with Fivetran to build the open data infrastructure layer that AI depends on, which means an established customer base and ARR momentum on one side and a genuinely new problem space on the other.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed