Platform Lead, Anaplan

ML Ops

Salary not provided

AWS

Docker

Kubernetes

GCP

Python

Bash

Terraform

Jenkins

Ansible

Azure

Kubeflow

Phoenix

Senior and Expert level

London

AI-driven scenario planning, analysis, and reporting

Be an early applicant

AI-driven scenario planning, analysis, and reporting

1001+ employees

B2BEnterpriseInternal toolsProductivityAnalyticsBusiness IntelligenceData Analysis

Be an early applicant

Salary not provided

AWS

Docker

Kubernetes

GCP

Python

Bash

Terraform

Jenkins

Ansible

Azure

Kubeflow

Phoenix

Senior and Expert level

London

1001+ employees

B2BEnterpriseInternal toolsProductivityAnalyticsBusiness IntelligenceData Analysis

Company mission

To make all planning for all people a reality.

Job

Company

Role

Who you are

Extensive production experience deploying and supporting ML systems
Proven track record of leading engineering teams
Demonstrated experience with Generative AI and LLM deployment patterns
A proven history of reducing cloud spend on large-scale AI clusters
Experience with tools like MLflow, Kubeflow, LangSmith, or Phoenix
Expertise in AWS/GCP/Azure cost tools, Kubecost, or Cloudability
Extensive background of Kubernetes (K8s), Docker, and service meshes
Expert knowledge of Terraform, Ansible, Jenkins, or GitHub Actions
Proficient in Python, Bash, or Go
Familiarity with Triton Inference Server, vLLM, or Hugging Face TGI

What the job involves

We are seeking a Platform Lead to spearhead our ML Ops infrastructure, cost-optimisation, and deployment strategies. You will manage a talented team of DevOps engineers while remaining deeply technical and hands-on. Your primary mission is to build, scale, and secure the foundational platforms for our machine learning (ML) and generative AI (GenAI) models while maintaining financial accountability
Team Leadership & Collaboration: Lead and manage a dedicated DevOps team, mentoring both junior and senior engineers while collaborating closely with Data Science and Engineering leaders
Infrastructure Strategy & Automation: Define the infrastructure roadmap for AI/ML workloads and automate provisioning across cloud environments using Infrastructure as Code (IaC)
MLOps & LLMOps Engineering: Architect, maintain, and optimise robust MLOps/LLMOps pipelines and CI/CD frameworks for continuous model deployment
GenAI Production Deployment: Deploy Large Language Models (LLMs) into production environments, ensuring high availability, low latency, and optimal performance for GenAI applications
FinOps & Budget Management: Establish FinOps frameworks to track, allocate, and forecast AI infrastructure spend, managing high-cost GPU/CPU cloud budgets
Resource Efficiency & Unit Economics: Implement auto-scaling, spot instances, and down-scaling policies to eliminate waste, while providing full visibility into the unit economics of training and serving LLM models
Observability & Incident Response: Establish 24/7 incident response, telemetry, and observability metrics to monitor system performance, model drift, and data pipelines
Data Governance & Security: Enforce strict data governance, platform security, and compliance protocols across all AI/ML infrastructure

Salary benchmarks

Our take

Anaplan is an AI-driven planning platform designed to do more than just plug gaps (it truly replaces the tangled web of legacy tools for the likes of SAP, Oracle, and IBM). Designed as the only "AI-driven scenario planning and analysis platform", it brings together data, modeling, insights, and action across a range of industries. And instead of managing isolated spreadsheets and disconnected tools, it allows business users to break down silo and collaborate fully.

It's setting itself apart with its expansive, adaptable reach, too. From out-of-the-box applications tailored for finance, supply chain, HR, and more, to enterprise-grade capabilities like predictive and generative AI, data integration, and real-time modeling, it offers organizations the tools they need to outpredict, outplan, and outperform.

Anaplan is on a roll too, with annual recurring revenue topping $1B, over 2,400 customers, and fast-growing business lines in finance, sales & marketing, and supply chain. The company is showing what a modern planning platform can really do. And its $500M innovation roadmap (packed with AI-powered tools, scenario planning, and new enterprise applications) means Anaplan is ready to shape the future of decision-making.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

-2% employee growth in 12 months

Glassdoor (4.2)

Company

Funding (last 2 of 6 rounds)

Dec 2017

$60m

SERIES F

Jan 2016

$90m

SERIES E

Total funding: $299.9m

Company HQ

Brickell, Miami, FL

Leadership

Charlie Gottdiener

(CEO)

Currently Board Member at TransUnion, Neustar Security Services, and smartShift.

Share this job

View 41 more jobs at Anaplan