Poolside

1 day ago

Member of Engineering (Data & Analytics)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Build and operate data and analytics systems for the Model Factory, including an agent trajectory store, experiment configuration registry, and experiment metrics. Own the full experiment data lifecycle—modeling, ingestion, retrieval, query, analysis, and retention—while partnering with researchers to translate workflows into reliable, performant tooling. Contribute to greenfield initiatives and scaling existing systems for higher reliability and performance.

Location: United Kingdom

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Design, build, and operate data and analytics systems of the Model Factory.
•Own the entire data lifecycle of experiment data including modeling, ingestion, retrieval, query, analysis, and retention.
•Partner closely with researchers to understand their workflows and ensure data and analytics needs are met.

Pay and Benefits

Perks:Health InsuranceParental LeaveHome Office

Key Requirements

•Strong programming skills in Go, Python, or similar languages.
•Experience building and operating distributed systems at scale, including consistency models, queue/stream processing, and data pipelines.
•Production experience with Kubernetes, cloud infrastructure, and observability systems.
•Ability to lead ambiguous and cross-functional initiatives, building alignment and driving progress.
•Nice to have: experience with OLAP and timeseries databases, high cardinality datasets, and ML research workflows.

Experience:Distributed systemsData pipelinesML research workflowsAI

Skills:Cross-functional collaborationLeadership

Tech Stack:GoPythonKubernetesCloud infrastructureObservability systemsQueueStream processingData pipelinesOLAP databasesTimeseries databasesHigh cardinality datasets

Company Brief

Poolside

Builds foundation models, coding agents, and enterprise systems to automate and accelerate software development; offers on-prem/VPC deployments, developer tooling, and forward-deployed engineering for high‑security environments.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2023

Website LinkedIn

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Poolside

1 day ago

Member of Engineering (Data & Analytics)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: United Kingdom

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Design, build, and operate data and analytics systems of the Model Factory.
•Own the entire data lifecycle of experiment data including modeling, ingestion, retrieval, query, analysis, and retention.
•Partner closely with researchers to understand their workflows and ensure data and analytics needs are met.

Pay and Benefits

Perks:Health InsuranceParental LeaveHome Office

Key Requirements

•Strong programming skills in Go, Python, or similar languages.
•Experience building and operating distributed systems at scale, including consistency models, queue/stream processing, and data pipelines.
•Production experience with Kubernetes, cloud infrastructure, and observability systems.
•Ability to lead ambiguous and cross-functional initiatives, building alignment and driving progress.
•Nice to have: experience with OLAP and timeseries databases, high cardinality datasets, and ML research workflows.

Experience:Distributed systemsData pipelinesML research workflowsAI

Skills:Cross-functional collaborationLeadership

Tech Stack:GoPythonKubernetesCloud infrastructureObservability systemsQueueStream processingData pipelinesOLAP databasesTimeseries databasesHigh cardinality datasets

Company Brief

Poolside

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2023

Website LinkedIn