Anaplan Inc

Anaplan is the leading enterprise decision making platform, powering the world's largest enterprises with its proprietary Hyperblock technology and cloud infrastructure. We are seeking a Sr. Principal Engineer to join our team in Manchester, UK. Your Impact Lead the design, delivery, and architecture of platform capabilities powering Anaplan's enterprise scale API gateways, edge routing, and developer acceleration. Build and scale high throughput backend engines that manage core request orchestration, seamless multi tenant isolation, and API first solutions serving thousands of tenants and tens of thousands of users. Partner with architects and senior engineers across the Platform Experience domain to set technical direction, aligning implementation patterns for complex initiatives (like Vanity URLs, JWT auth flows, and cross service proxying). Drive the evolution of our deployment infrastructure, championing modern GitOps workflows (ArgoCD, Helm) and highly available containerized orchestration. Own foundational features end to end-from design through to production-while continuously improving system observability, implementing intelligent rate limiting, and solving complex concurrency challenges (e.g., database locks and connection starvation). Deliver thought leadership and coding excellence across Java/Kotlin, ensuring seamless integration between backend microservices and UI components (including resolving complex CORS and distributed edge proxy requirements). Mentor and elevate engineers across global teams through design reviews, pair programming, and hands on leadership to foster a resilient engineering culture. Your Qualifications Extensive background in software engineering within enterprise scale, high throughput platform or data centric environments. Understand, leverage, and integrate modern AI tools and concepts-including agentic programming patterns and LLM assisted workflows-to accelerate platform engineering and developer velocity. Deep expertise in backend JVM languages (Java and/or Kotlin) with a strong understanding of distributed systems internals. Proven track record of delivering API first infrastructures, API Gateways (e.g., Traefik), and edge routing solutions that guarantee enterprise reliability under sustained traffic loads (2K+ requests per second). Hands on experience with Kubernetes, containerized deployments, and managing complex CI/CD pipelines (strong familiarity with GitOps, ArgoCD, and high velocity release workflows). Solid grounding in event driven architecture, real time data processing, and managing complex database transaction scopes at scale. Experience balancing rapid prototyping and fast iteration with long term sustainability and quality-you have a bias for action and prefer to try and iterate rather than wait for perfect information. Exceptional technical communicator with a proven ability to align globally distributed teams. You are highly skilled at distilling complex concepts into clear, structured RFCs and architectural designs to build consensus. Understand, leverage, and integrate modern AI tools and concepts-including agentic programming patterns and LLM assisted workflows-to accelerate platform engineering and developer velocity. Preferred Skills You have shaped architecture and platform strategy at an enterprise scale, navigating the trade offs of hybrid and cloud agnostic infrastructures. You bring a polyglot mindset, matching the right technology to the challenge rather than defaulting to a single stack (comfortable exploring React, Python, or Go when needed). Genuine curiosity-you're energized by learning new technologies and approaches to solve edge routing and platform enablement challenges. You enjoy mentoring others and raising the bar for engineering culture, without big egos. You're highly comfortable operating in distributed teams, embracing asynchronous collaboration, and driving consensus across distinct domains. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person. Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. All emails from Anaplan would come from email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to before taking any further action in relation to the correspondence. Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.

Anaplan Inc is seeking a Sr. Principal Engineer to join our team in Manchester, UK. The successful candidate will lead the design and delivery of platform capabilities, including the architecture of API gateways and backend engines. The ideal candidate will have extensive experience in Java/Kotlin and cloud technologies, a deep understanding of distributed systems, and a passion for mentoring others to elevate engineering culture. Join us to power the world's largest enterprises.

Anaplan Inc in Manchester is seeking a Software Engineer to build and maintain backend services and APIs across the Predictive Intelligence stack. This role requires proficiency in Python and experience with relational databases. The ideal candidate will collaborate with data scientists and contribute to predictive analytics. With a focus on inclusivity, Anaplan is committed to fostering a diverse work environment. We encourage all candidates, regardless of background or identity, to apply and bring their authentic selves to work every day.

Your Impact Build and maintain backend services, APIs, and data processing components across the Predictive Intelligence stack. Contribute to the forecasting, scoring, and data processing services that deliver predictive insights, with attention to performance, reliability, and code quality. Write clean, well tested, maintainable Python and follow established engineering best practices. Work with data scientists and ML engineers to integrate models into production services and support the pipelines around them. Participate in code reviews and design discussions, and incorporate feedback to grow as an engineer. Take part in on call rotations as you ramp, and help monitor, diagnose, and resolve issues across services and pipelines. Collaborate across the team to deliver well scoped features end to end. Your Qualifications Proven commercial professional software engineering experience building backend services. Solid proficiency in Python, with experience writing well structured, tested production code. Experience with relational databases and SQL (e.g., Postgres); familiarity with data warehousing technologies such as Snowflake is a plus. Exposure to containerized services and at least one major cloud (AWS, GCP, or Azure). Basic understanding of how ML and AI systems run in production and the data pipelines that support them. Familiarity with version control (Git) and collaborative development practices. Demonstrated ability to take ownership of well scoped systems and deliver against requirements with some ambiguity. Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. Preferred Skills Experience with data orchestration tools (e.g., Prefect, Airflow, dbt). Familiarity with MLOps tooling such as MLflow, or experience supporting ML workloads in production. Exposure to LLM or agentic application patterns and AI service integration. Background in forecasting, demand planning, or retail/supply chain domains. Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! Disability Accommodation Statement We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.

About the Role We're seeking a versatile Principal Data scientist who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. In this role, you will have a direct impact on our industry leading platform by architecting and deploying cutting edge AI solutions that drive intelligent, automated, and forward looking decision making for our global customers. You will bridge the gap between traditional predictive algorithms and modern generative systems. Your Impact Advanced Modeling & Predictive Analytics: Lead the research, design, and implementation of advanced Machine Learning, Deep Learning, and Timeseries Forecasting models to solve complex enterprise business and planning challenges. Generative AI Architecture: Architect GenAI solutions, focusing on fine tuning proprietary and open source Large Language Models (LLMs) via Transformer architectures for specialised enterprise data tasks. Next Gen Interfaces: Design and integrate Conversational AI and autonomous Agentic AI workflows, creating intuitive experiences that can independently execute complex planning tasks. Production & Scale: Collaborate with Engineering, Product, and Design teams to transition AI models from early prototypes into robust, highly scalable production systems. Technical Leadership: Serve as a core subject matter expert, mentoring cross functional teams and driving a culture of technical excellence, rigorous testing, and continuous learning. Your Skills Extensive professional engineering experience across Artificial Intelligence, Machine Learning, or related domains. Deep technical understanding of Transformer architectures, prompt engineering, and conversational AI patterns, alongside practical experience with autonomous agent frameworks. Experience fine tuning LLMs (e.g., LoRA, QLoRA, RLHF) specifically for domain specific enterprise applications. Taken responsibility of models from concept to production, utilising strong MLOps and LLMOps practices to ensure scalable, reliable, and monitorable deployments. High proficiency in Python and modern software development practices, including rigorous testing, code reviews, and CI/CD pipelines. Strong hands on experience in traditional Machine Learning and deep learning techniques, specifically including Timeseries Forecasting algorithms. Background in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field. Experience working with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, and deployment. Background in forecasting, planning, or analytics applications. Familiarity with Anaplan or similar enterprise planning platforms. Experience with A/B testing and experimentation frameworks for AI features. Contributions to open source ML projects or research publications. Our Commitment to Diversity, Equity, Inclusion, and Belonging (DEIB) We believe at Anaplan that diversity, equity, inclusion and belonging are central to our success. All applicants are considered equally; we welcome individuals of all genders, sexual orientations, religions, ethnicities, ages, neurodiversity, disabilities, citizenship, and other identities. We will provide reasonable accommodation to individuals with disabilities to participate in the application process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.

Anaplan Inc is looking for a Principal Data Engineer to work across the full stack of Anaplan AI applications. This role includes designing and building retrieval layers for agentic workloads and developing GenAI features that enhance real-time planning workflows. The ideal candidate will have deep knowledge of AI/ML products, data engineering, and extensive experience in model lifecycle development. Join a diverse and inclusive team where your authentic self is valued and respected.

Anaplan Inc is looking for a Principal Data Scientist in Greater London to innovate across our AI applications. This role involves designing and implementing advanced Machine Learning and Generative AI solutions that elevate our industry-leading platform. You will collaborate with cross-functional teams to ensure the deployment of robust AI systems. We value diversity and inclusion, welcoming individuals from all backgrounds. If you're passionate about driving intelligent decision-making and working in a dynamic environment, we want to hear from you!

About the Role We're seeking a versatile Principal Data Engineer who can work across the full stack of Anaplan AI applications, from model integration, prompt engineering and set the technical direction for how we ingest, transform, store, serve, and govern the data that powers our LLM-based and agentic systems. You'll build AI features that can be used in real-time. This will help business users use GenAI in their planning workflows. You'll need both deep knowledge of machine learning and strong data engineering skills. Your Impact Design and build the retrieval layer powering RAG and agentic workloads-including vector and graph databases, hybrid search, and architecting knowledge graphs that capture the semantics of customer models. Develop end-to-end GenAI features including backend API services, model integration, model monitoring, evaluations and deployments Engineer feature and context pipelines balancing batch and streaming patterns to feed forecasting and anomaly detection models, collaborating closely with data scientists to productionise algorithms. Build the data plane for evaluation , implementing rigorous frameworks to continuously monitor, measure, and improve GenAI feature quality, accuracy, latency, and user satisfaction. , Collaborate with data scientists to productionise ML models and forecasting algorithms Your Skills Extensive background in Data Science Engineering, with a clear track record of principal level technical leadership. Hands on experience building and shipping AI/ML products in production Deep practical experience with LLM based systems: RAG architectures, embedding pipelines, prompt and response logging, evaluation frameworks. Hands on expertise with vector databases, graph databases, and knowledge graphs End to end exposure in model lifecycle development, including extensive experience training and deploying ML models in production environments. Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns. Proficiency in Python and modern software development practices (testing, code review, CI/CD). Preferred Skills Hands on experience with cloud native ML infrastructure platforms Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models Experience with model serving frameworks (vLLM, TensorRT, Ray) Familiarity with Anaplan or similar enterprise planning platforms Experience with A/B testing and experimentation frameworks for AI features Experience with model observability tools (LangSmith, W&B, MLflow) Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.

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 market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebratingour wins - big and small. Supported by operating principles of being strategy-led, values -based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! Role Summary We're seeking a Principal Machine Learning Engineer who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills. Your Impact Lead the architecture, design, and deployment of scalable Generative AI and Machine learning systems into production environments. Develop end-to-end GenAI features including backend API services, model integration, model monitoring, evaluations and deployments Integrate and optimise LLMs for specific use cases in business planning, including prompt engineering, RAG implementation Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics Design and develop APIs that expose AI capabilities to Anaplan's platform and third-party integrations Optimise model inference pipelines for performance, cost, and scalability in production environments Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour Collaborate with data scientists to productionise ML models and forecasting algorithms Your Skills Extensive hands-on professional experience in the field of Artificial Intelligence, Machine Learning, or related engineering domains. End-to-end exposure in model lifecycle development, including extensive experience training and deploying ML models in production environments. Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns. Experience in fine-tuning LLMs for domain-specific enterprise applications. Strong expertise in MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments. Experience with agentic frameworks and autonomous agent architectures. Proficiency in Python and modern software development practices (testing, code review, CI/CD). Proven track record of delivering complex technical projects on time with high quality Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a strongly related quantitative field Hands-on experience with cloud-native ML infrastructure platforms Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models Experience with model serving frameworks (vLLM, TensorRT, Ray) Experience with A/B testing and experimentation frameworks for AI features Contributions to open-source ML projects or research publications Experience with model observability tools (LangSmith, W&B;, MLflow) DEIB Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person. Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. All emails from Anaplan would come from email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to before taking any further action in relation to the correspondence.

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 market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebratingour wins - big and small. Supported by operating principles of being strategy-led, values -based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! We are seeking a versatile and highly skilled Principal Software Engineer who can work seamlessly across our frontend and backend services-from designing highly performant, intuitive modern user interfaces to building robust API services, Model Context Protocol (MCP) services, and autonomous AI agents. In this role, you will lead the architecture, design, and deployment of scalable Generative AI solutions, ensuring seamless integration into our core planning workflows. This is a unique role requiring deep software engineering expertise across both frontend and backend development, combined with hands on experience building production ready GenAI features. You will bridge the gap between backend APIs, custom MCP services, agentic workflows, and responsive modern user interfaces to deliver intelligent, automated planning experiences for our global customers. Your Impact Technical Leadership & System Architecture: Architect, design, and deploy scalable Generative AI solutions, autonomous AI agents, and full stack services (frontends and backend services) into production environments. End to End GenAI Development: Build comprehensive GenAI features including backend API services, custom tools, LLM model integration, and evaluation harnesses. AI Agents & MCP Integration: Design, build, and maintain Model Context Protocol (MCP) servers and services that securely expose backend data and enterprise tools to agentic AI workflows. Implement robust orchestration, tool calling capabilities, and multi agent coordination. Full Stack Engineering: Drive best practices across our full stack, guiding the development of responsive frontend applications (React/TypeScript) and robust, scalable backend services (Python, Java, Kotlin, or Node.js). LLM Observability & Reliability: Establish robust LLM observability, evaluations, and caching, implementing latency optimisations and comprehensive monitoring (logging, usage tracking, agent behaviour). Operational Excellence: Champion high availability, performance optimisation, and observability across frontends and backend microservices, focusing on practices that maintain platform reliability and optimise MTTD and MTTR. Mentorship & Collaboration: Elevate the engineering organisation by mentoring senior and junior engineers, conducting rigorous code and system design reviews, and partnering with product managers to translate product visions into actionable technical roadmaps. Qualifications Experience: Extensive professional software engineering experience, with a proven track record of delivering complex, high quality technical projects in a senior or principal role. AI & Agentic Production Exposure: Deep hands on experience designing, deploying, and scaling agentic AI workflows, tool integrations, and GenAI features in production environments. Full Stack Expertise: High proficiency in modern frontend frameworks (specifically React and TypeScript) and robust backend development languages (Python, Java/Kotlin, or Node.js). GenAI & MCP Knowledge: Deep understanding of LLM APIs, prompt engineering, agentic/multi agent architectures, and building/consuming Model Context Protocol (MCP) services. System Observability & Quality: Strong experience with application observability, logging, and performance monitoring across distributed backend systems and frontend applications. Communication & Collaboration: Exceptional communication skills with a demonstrated ability to collaborate across engineering, product, and design teams to take ideas from prototype to production. Agentic Tools & Frameworks: Hands on experience with agent orchestration frameworks and integrating AI agents with enterprise platforms. Observability Tooling: Experience with GenAI observability and evaluation tools. Industry Domain: Previous experience in Enterprise Performance Management (EPM), financial planning, business analytics, or related enterprise SaaS environments. Community Contributions: Contributions to open source agent frameworks, MCP servers, or published research in distributed systems or Generative AI. Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person. Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. All emails from Anaplan would come from email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to before taking any further action in relation to the correspondence.

Anaplan Inc in Manchester is seeking a versatile Principal Software Engineer to lead GenAI initiatives across frontend and backend services, delivering scalable AI-powered planning features. You will architect and implement comprehensive GenAI solutions, mentor engineers, and work with product teams to translate ambitious roadmaps into production-ready systems that power enterprise planning for 2,400+ global customers.