Roles de SQL abiertos para Latvia.

Design, build, and maintain core backend systems for Product Analytics, ensuring scalability, reliability, and high performance

Over 6 years of experience as a Data Engineer

Build effective partnerships with leading academic institutions to raise awareness of our graduate opportunities.

Passion and drive to embed scientific approaches that deliver impact on how an organisation selects talent.

Collaborate proactively with an internationally distributed team

Collaborate proactively with a distributed team

Collaborate proactively with a distributed team

Own the design, delivery, and support of features in a highly concurrent, highly distributed system that drives cloud automation and software operations at scale.

Define, monitor, and execute data governance policies

Contribute to the design, delivery, and support of features in a highly concurrent, highly distributed system that drives cloud automation and software operations at scale.

Learning how to assess candidates using behavioural interview techniques.

Design, implement and document system level Go code

Developing a search strategy for our business, ensuring processes enable headhunted talent to move smoothly through the pipeline.

You will lead a team building scalable data solutions for Kubernetes and cloud machines

Leading a team to deliver against a set of strategic objectives, with focus on product design and implementation of our roadmap.

A built-in data warehouse, so users can query product and customer data together using custom SQL insights.

Owning sales enablement end-to-end. You'll be the person Sales goes to for positioning, competitive material, objection handling, and customer stories.

Running GTM for our Analytics products. You’ll own the GTM strategy and execution for all our Analytics products, with a particular focus on LLM Analytics.

Trust + distribution: App developers already trust us in their purchase flow, the highest stakes moment in any user journey.

Own the product strategy and roadmap for RevenueCat's new Workflows and Funnels products.

Designed and built automated interview scheduling. This feature automates scheduling by calculating possible times from a pool of interviewers and other constraints, and then presenting these times to the candidate for selection via

Designed and built automated interview scheduling. This feature automates scheduling by calculating possible times from a pool of interviewers and other constraints, and then presenting these times to the candidate for selection via

🌍 Location: We are full-remote and globally distributed! Our current team is distributed between GMT-8 and GMT+2 so we currently only hire in these timezones.