Responsibilities
- Drive end-to-end delivery of the data platform, including streaming, storage, transformation, and pipelines, ensuring consistent quality and velocity without becoming a central bottleneck.
- Mentor, guide, and develop engineers through career progression, performance feedback, and creating an environment conducive to high-performance work.
- Maintain strong technical credibility by reviewing real-time data system designs, assessing trade-offs in warehouse architecture and modeling, and identifying scalability risks in production environments.
- Prioritize data consumers across product, finance, and business teams by advocating for reliable interfaces, clear documentation, and backward-compatible changes.
- Assume leadership of the growing machine learning function, overseeing delivery, team development, and strategic direction within the data organization.
- Collaborate with product and engineering leaders to define achievable roadmaps, identify risks early, and shield the team from unsustainable commitments.
- Champion operational discipline through robust data quality monitoring, incident response, and follow-through on post-mortem actions for critical systems.
- Manage platform costs proactively by integrating financial operations practices, ensuring cost transparency, accountability for resource usage, and informed trade-offs between spending and performance.
Compensation
Competitive share options
Work Arrangement
Fully remote, globally distributed
Team
Small team with broad technical ownership and minimal management layers
A typical interview process
Introductory call with a Talent Partner, followed by a hiring manager interview, a role-specific challenge stage, and a final values-alignment interview.
What's the culture like at Primer?
A remote-first culture focused on enabling people to do their best work and take pride in their impact. Team members are mission-oriented, intelligent, and reflective, committed to building exceptional products and delivering results. The company supports strong remote practices and intentional in-person connections through workations, annual retreats, and co-working access. Challenges are supported with onboarding, collaboration, and team investment—never faced alone.
Our benefits
Fully remote and globally distributed since inception, competitive equity, uncapped vacation with a 25-day minimum, access to co-working spaces in major cities, workations and annual company retreats, top-tier equipment, £500 home office stipend, generous learning budget, private medical insurance, and a wide range of location-dependent benefits.
Other
- Remote-first environment means no physical office for informal updates; leadership must create clarity and context intentionally.
- Small team with wide scope—ownership spans real-time data systems to warehouse modeling, requiring frequent prioritization decisions.
- Lean management structure means limited upstream support; leaders must remain technically engaged to guide effectively.
- Machine learning function is in early stages, requiring leadership to define scope, tools, and direction amid inherent ambiguity.
Not specified
