
- Top 10% of respondersDatalogz is in the top 10% of companies in terms of response time to applications
- Responds within a weekBased on past data, Datalogz usually responds to incoming applications within a week
- B2B
- +1
Product Engineer
- 0.1% – 0.3%
- |Remote (+1) •
- |5 years of exp
- |Full Time
Onsite or remote
Not Available
About the job
About Datalogz
Datalogz is the Control Tower for the AI era: we turn analytics sprawl into a trusted semantic foundation for every decision, human or machine.
Every enterprise already has thousands of dashboards, reports, and datasets, most of them
unmaintained, duplicated, or quietly wrong. Now AI is multiplying outputs on top of that
foundation. Governance tools watch the warehouse. Nobody governs the consumption layer:
the place where people and AI agents actually interact with data and make decisions. That is
the gap Datalogz Control Tower closes.Control Tower reads, understands, and monitors the full analytics estate across every BI tool, every team, and every AI-generated output. Its differentiator is semantic intelligence: we understand the meaning, relationships, and risk of every analytics asset, not just its metadata.
BI360 is the executive lens on top, a live summary of analytics health, cost, risk, and trust across the organization.
We're an early-stage startup defining a new category. The work you ship lands in front of enterprise customers fast and helps shape what this category becomes.
The role
We're hiring a Product Engineer to work on Control Tower. This is a hybrid role for someone
who is energized by all three of these and refuses to silo them:
Talking to customers. You'll sit in on calls with analytics teams and the people
who run BI Ops, understand their workflows, and turn that understanding directly
into product.Owning UX. You care how a feature feels, not just whether it works. You'll shape
flows and make a dense, data-heavy interface feel obvious.Shipping engineering. You'll build features end to end, from the interface to the logic
behind BI360, Monitors & Alerts, BI Similarity, inventory and dependency lineage,
and the workflows that turn findings into action.
You won't be handed fully-specified tickets. You'll be handed a customer problem and trusted
to find the smallest useful version, build it, and put it in front of users. The loop from customer
conversation to shipped feature should run through you.
What you'll do
Join customer calls and onboarding sessions, then translate what you hear into product changes, not someone else's interpretation of it.
Design and build across Control Tower: BI360, Monitors & Alerts, BI Similarity, inventory and dependency lineage, cost intelligence, and remediation workflows.
Own the UX of what you ship: wireframe it, build it, and refine it based on how real teams use it.
Make findings explainable, auditable, and actionable. Our users need to trust what we surface and know exactly what to do next.
Prototype quickly, ship to real customers, and iterate on feedback instead of chasing
perfect specs.Partner with the founders, product, and design on what to build next, with a real voice in it.
What we're looking for 3–5 years building software, with meaningful time on customer-facing or product-facing work, not purely backend or infra.
Strong frontend and product engineering skills. You can own a feature from the UI through to the logic behind it. Our stack leans modern web (TypeScript, React, and similar); we care more about your judgment than your exact toolset.
A real eye for UX. You can make a data-heavy interface feel clear, and you have opinions about why one flow beats another.
Comfort talking directly to customers. You can run a conversation, ask sharp questions, and stay composed in front of an enterprise user.
Bias toward shipping the smallest useful thing and learning from it.
Clear written communication, which matters on a remote, global team.
Nice to have
Experience in B2B SaaS, data, analytics, or governance and observability products.
Familiarity with the tools our customers run: BI tools like Power BI, Tableau, Qlik, Spotfire, and Sigma, and data platforms like Databricks and Snowflake.
Background as a founding or early engineer at a startup.
Experience designing for enterprise users where trust, permissions, and auditability matter.
About the company
- Top 10% of respondersDatalogz is in the top 10% of companies in terms of response time to applications
- Responds within a weekBased on past data, Datalogz usually responds to incoming applications within a week
- B2B
- Early StageStartup in initial stages
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