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Lead the ML Ops team to build, scale, and secure AI/ML and GenAI infrastructure, automate deployments, and optimize cloud costs for Anaplan’s AI-infused planning platform.
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the…
Senior Data Engineer on Anaplan's data team, designing and maintaining scalable ETL/ELT pipelines and the Google BigQuery data warehouse to power analytics and BI. Core stack includes Python, Databricks, Dataproc, Airflow, Informatica, Dataform and GitHub CI/CD, with optional Tableau and Anaplan EPM integration work.
Leads ML Ops infrastructure, cloud cost optimization, and GenAI/LLM deployments for Anaplan’s AI-driven scenario planning platform, managing a DevOps team while ensuring scalability, security, and financial accountability.
DevOps/Platform engineer who architects, scales, and automates Anaplan's multi-cloud infrastructure serving millions of requests per second — building custom Kubernetes controllers and operators, chaos engineering frameworks, eBPF-based networking/security, and FinOps optimization. Core stack: Go/Rust/Python, Kubernetes, eBPF, Istio/Cilium, AWS/GCP.
Senior Solution Consultant on Anaplan's presales team, owning the technical sales cycle for large enterprise accounts — running discovery, tailored demos, and proof-of-concept workshops for Anaplan's AI-driven scenario planning platform. Core focus areas: enterprise AI, data modeling, planning applications, and value-based selling.
Anaplan is hiring a QA Automation Engineer in London focused on quality assurance for its GenAI/Agentic features. Day to day you build Python/Pytest automated tests across evaluations, APIs and UIs, run prompt regression suites, and maintain evaluation frameworks measuring accuracy, safety, consistency and latency of LLM-powered systems.
Anaplan is hiring an SDET focused on quality assurance for GenAI and agentic AI features. Day to day this means building and maintaining automated test suites and evaluation frameworks for LLM-powered applications using Python, Pytest, API/UI testing tools, and CI/CD pipelines, including regression, performance, and adversarial testing for non-deterministic AI systems.
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