As a Senior Service Manager, you will be a leader within our Platform Engineering team, taking ownership of the operational stability and resilience of the Anaplan platform. You will move beyond day-to-day execution to drive strategy and elevate team performance. Your impact will be defined by:

• Strategic Service Leadership:You will not only lead major incident response but also own the continuous improvement of our service management framework. This includes independently running service improvement plans, identifying and resolving systemic gaps in our processes, and using your in-depth understanding of our platform architecture to proactively prevent future incidents.
• Mentorship and Team Elevation:You will act as a subject matter expert and mentor, coaching peers and junior team members on ITIL/ITSM best practices, technical competencies, and process ownership. You will be responsible for coordinating team activities and ensuring the entire service management function operates effectively.
• Owning Critical Customer Escalations:You will serve as a key point of contact during high-stakes situations, taking ownership of customer escalations and representing Anaplan with authority and confidence on customer calls. This includes participating in a 24/7/365 on-call rotation for both primary incidents and secondary escalations.
• Leading Incident Management:You will command the end-to-end incident management lifecycle. This includes assessing and triaging technical events, managing communications during critical outages, and leading post-incident reviews (PIRs) to establish the root cause and prevent recurrence.
• Driving Proactive Improvement:You will move beyond reactive fixes by defining, documenting, and refining core service management processes based on ITIL/ITSM principles. By analyzing operational data for trends, you will proactively detect and prevent future problems, build a knowledge-sharing environment, and create service improvement plans.
• Serving as a Key Liaison:You will act as a crucial communication bridge between technical engineering teams, customer success departments, leadership, and customers. Your ability to provide clear, concise, and well-documented communications will be essential for managing expectations and ensuring compliance with customer Service Level Agreements (SLAs).

Your Qualifications

Essential

• 5+ years of proven experience in Major Incident Management, Problem Management, and Relationship Management.
• 5+ years of deep, practical experience working with ITIL principles and ITSM frameworks.
• ITIL v4 or v3 certification.
• A relevant university degree or equivalent professional industry experience.

Key Skills & Technologies

• Deep expertise in ITSM concepts and tooling, particularly the Atlassian suite (Jira Software, Jira Service Management, Confluence), Statuspage, and PagerDuty.
• Proven ability to lead projects, deliver service improvements, and mentor team members.
• Advanced problem-solving skills, with the ability to analyze complex situations with multiple variable factors and exercise sound judgment to drive resolution.
• Exceptional communication and stakeholder management skills, with the ability to own customer escalations and represent Anaplan effectively.

Desirable

• Project Management certification (e.g., Prince 2).
• Major Incident Management (MIM) Professional Level qualifications.
• Experience with Grafana, other incident management tools, or Configuration Management Databases (CMDBs).

Key Responsibilities

• Lead, mentor, and grow a high-performing team of AI/ML engineers, fostering a culture of innovation, collaboration, and excellence.
• Define and execute the roadmap for AI/ML projects, ensuring alignment with business objectives and product strategy.
• Architect and oversee the development of scalable, robust, and production-grade AI systems on cloud platforms (AWS, Azure, GCP).
• Drive best practices for the full machine learning lifecycle, including MLOps, CI/CD for ML, model monitoring, and governance.
• Collaborate closely with product managers, data scientists, and other engineering leaders to translate business requirements into technical solutions.
• Stay at the forefront of advancements in AI/ML, including Large Language Models (LLMs) and agentic AI, to identify and implement new opportunities.
• Manage project timelines, resources, and stakeholder communication to ensure the timely delivery of high-quality AI solutions.

Required Qualifications

• Strong understanding or experience leading AI/ML teams in a SaaS or enterprise software environment.
• Deep expertise in time series forecasting and machine learning.
• Experience architecting and deploying scalable, production-grade AI systems on cloud platforms (AWS, Azure, GCP).
• Solid understanding of MLOps, CI/CD for ML, and cloud-native architectures.
• Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns.
• 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.
• Excellent communication, collaboration, and stakeholder management skills.
• Track record of delivering impactful AI solutions in a fast-paced, agile environment.

Preferred Qualifications

• Master’s or Ph.D. in Computer Science, AI, Machine Learning, or a related field.
• Experience with large-scale data processing frameworks like Spark.
• Familiarity with the challenges of applying AI in enterprise planning or financial domains.
• A portfolio of published research or contributions to open-source AI projects.

What Makes This Role Exciting

You will be a key leader in Anaplan’s AI journey, with the autonomy to shape our technical direction and build a world-class engineering team. This is a unique opportunity to solve complex, real-world problems and deliver intelligent solutions that empower major global enterprises to make more informed decisions. You will work with a passionate team on the cutting edge of AI, making a tangible impact on our product and the industry.

About the Role 

Anaplan is on a mission to revolutionize business planning by connecting organizations and people to make better, faster decisions. We are seeking a visionary Senior Manager for AI Engineering to lead our talented team in building the next generation of intelligent planning solutions. This is a critical leadership role where you will drive the technical strategy and execution for AI/ML initiatives, directly impacting Anaplan’s product and our customers' success. You will be at the forefront of integrating cutting-edge AI, from time series forecasting to generative and agentic AI, into our market-leading platform. 

Key Responsibilities 

• Lead, mentor, and grow a high-performing team of AI/ML engineers, fostering a culture of innovation, collaboration, and excellence. 

• Define and execute the roadmap for AI/ML projects, ensuring alignment with business objectives and product strategy. 

• Architect and oversee the development of scalable, robust, and production-grade AI systems on cloud platforms (AWS, Azure, GCP). 

• Drive best practices for the full machine learning lifecycle, including MLOps, CI/CD for ML, model monitoring, and governance. 

• Collaborate closely with product managers, data scientists, and other engineering leaders to translate business requirements into technical solutions. 

• Stay at the forefront of advancements in AI/ML, including Large Language Models (LLMs) and agentic AI, to identify and implement new opportunities. 

• Manage project timelines, resources, and stakeholder communication to ensure the timely delivery of high-quality AI solutions. 

Required Qualifications 

• Proven experience leading AI/ML teams in a SaaS or enterprise software environment. 

• Deep expertise in time series forecasting and machine learning. 

• Experience architecting and deploying scalable, production-grade AI systems on cloud platforms (AWS, Azure, GCP). 

• Solid understanding of MLOps, CI/CD for ML, and cloud-native architectures. 

• Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns. 

• 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. 

• Excellent communication, collaboration, and stakeholder management skills. 

• Track record of delivering impactful AI solutions in a fast-paced, agile environment. 

Preferred Qualifications 

• Master’s or Ph.D. in Computer Science, AI, Machine Learning, or a related field. 

• Experience with large-scale data processing frameworks like Spark. 

• Familiarity with the challenges of applying AI in enterprise planning or financial domains. 

• A portfolio of published research or contributions to open-source AI projects. 
• 10 Years +

What Makes This Role Exciting 

You will be a key leader in Anaplan’s AI journey, with the autonomy to shape our technical direction and build a world-class engineering team. This is a unique opportunity to solve complex, real-world problems and deliver intelligent solutions that empower major global enterprises to make more informed decisions. You will work with a passionate team on the cutting edge of AI, making a tangible impact on our product and the industry. 

About the Role

Anaplan is on a mission to revolutionize business planning by connecting organizations and people to make better, faster decisions. We are seeking an expert Lead React Developer to guide our front-end engineering team in building intuitive, high-performance, and scalable user interfaces. As a technical leader, you will be responsible for the architecture, quality, and delivery of the user-facing components of our market-leading platform. You will play a critical role in shaping the user experience that empowers thousands of users to navigate complex data and make critical business decisions.

Key Responsibilities

• Lead a team of front-end developers, providing technical mentorship, guidance, and support.
• Architect and build robust, scalable, and maintainable front-end solutions using React and its ecosystem.
• Take a hands-on role in writing clean, efficient, and well-tested code, setting the standard for the team.
• Drive front-end technical strategy and roadmap, making key decisions on frameworks, libraries, and architecture.
• Lead code reviews to ensure high-quality, performance, and adherence to best practices.
• Work closely with product managers, UX designers, and backend engineers to translate requirements and designs into perfect user experiences.
• Champion best practices for front-end development, including performance optimization, accessibility, and testing.
• Mentor junior and mid-level developers, fostering a culture of technical excellence and continuous improvement.

Required Qualifications

• Extensive (8+ years) hands-on experience developing complex, large-scale web applications using React.
• Deep understanding of the React ecosystem, including Hooks, Context API, and functional components.
• Proven expertise in state management libraries such as Redux, Zustand, or Recoil.
• Strong proficiency in JavaScript (ES6+) and TypeScript.
• Expertise in modern front-end build tools and package managers (e.g., Webpack, Vite, npm, Yarn).
• Solid experience with front-end testing frameworks like Jest and React Testing Library.
• Experience with RESTful APIs and/or GraphQL.
• Demonstrated experience in a technical leadership or mentorship role.
• Excellent problem-solving skills and the ability to communicate complex technical concepts effectively.

Preferred Qualifications

• Bachelor's degree in computer science or a related field.
• Experience building and maintaining component libraries or design systems.
• Strong knowledge of web performance optimization techniques.
• Familiarity with web accessibility standards (WCAG).
• Experience working in a SaaS or enterprise software environment.
• Familiarity with CI/CD pipelines and agile development methodologies.

What Makes This Role Exciting

As a Lead FE Developer at Anaplan, you will be at the forefront of building the user interface for a powerful and complex platform used by major global enterprises. You will have the autonomy to make significant architectural decisions and the opportunity to guide a talented team. This is a chance to solve challenging technical problems, directly influence the user experience, and see your work have a tangible impact on how businesses operate and plan for the future.

As a Senior Release Manager, you will be the central orchestrator for delivering value to our customers, acting as a critical bridge between Engineering, Ops, and Customer Care. Your primary impact will be to ensure a smooth, predictable, and efficient release process for all software and infrastructure changes. You will achieve this by:

• Driving Release Strategy and Execution:You will partner directly with engineering teams to plan, coordinate, and execute the delivery of new features and updates. Your role is to manage the entire release lifecycle, from initial planning and risk assessment to final deployment and communication.
• Enhancing Visibility and Decision-Making:You will provide crucial insights to the business by developing and maintaining dashboards in Jira and Confluence and tracking key metrics that align to business outcomes. Your ability to use data to drive decisions will ensure stakeholders have a clear view of release progress and potential risks.
• Championing Agile and Process Improvement:You will be a key driver of our Agile culture, constantly improving our release processes, practices, and tooling. By defining and rolling out common approaches and leveraging your experience with scaled agile frameworks, you will make it simpler for teams to deliver high-quality software efficiently.

Your Qualifications:

Essential

• Extensive commercial experience as a Release Engineer or Release Manager within a software engineering environment.
• Strong history of using data to track metrics and drive decision-making.
• Demonstrated experience with software delivery, including continuous integration and delivery (CI/CD) pipelines.
• Proven experience implementing and working within a scaled framework for agile development.
• Strong leadership and change management skills, with the ability to lead via influence in a cross-functional setting and manage the rollout of new processes.

Key Skills & Technologies

• Excellent communication skills, especially in translating technical concepts for diverse audiences.
• Expertise with Jira(including Advanced Roadmaps), Confluence, and CI/CD tools like Jenkins and Harness.
• Familiarity with cloud environments such as Google Cloud (GCP)and AWS.

Desirable

• A background in DevOps.
• Proficiency with scripting languages.
• Experience with data visualization tools like PowerBI.
• Knowledge of Splunk and GitHub.

Role Overview
In this Principal role, you will lead the design, build and operational excellence of core platform capabilities covering backend services, modern frontend applications, and critical platform infrastructure or APIs. You will drive architectural strategy, mentor senior engineers, collaborate at cross functional and technical leadership levels, and ensure the system scales reliably across global, enterprise use cases.

Key Responsibilities

• Define and implement the architecture and delivery of backend services and microservices, supporting high throughput, globally distributed systems.
• Lead frontend development using modern frameworks (React/Angular/Vue.js + TypeScript) for responsive, performant, enterprise grade applications.
• Drive design and implementation of containerization/Docker and orchestration (Kubernetes) for production scale deployment and standardization across teams.
• Partner with cross functional leaders (product, UX, QA, architecture) to shape roadmap, align technical strategy with business priorities and ensure rapid but sustainable delivery.
• Establish engineering best practices: code reviews, technical mentorship, continuous improvement, testing frameworks, CI/CD pipelines, observability and platform health.
• Own cloud-native delivery (AWS, GCP, Azure), infrastructure-as-code, monitoring and operational resilience for mission critical capabilities.
• Lead risk identification and mitigation, optimize system performance, ensure scalability and reliability across multi‑tenant enterprise environments.
• Act as a mentor and thought leader, enabling engineers across teams, contributing to onboarding, knowledge sharing, industry innovation, and engineering culture.

Required Skills & Experience

• Extensive professional software engineering experience (or analogous senior technical leadership) with deep expertise in Java and object-oriented design.
• Proven full stack development background: frontend (JavaScript, HTML, CSS) and backend (APIs, databases, distributed systems).
• Demonstrated experience with modern JavaScript frameworks (React, Angular, or Vue.js) and proficiency with TypeScript.
• Strong understanding of RESTful API design, relational databases (SQL) and large‑scale backend operations.
• Hands on with containerization and orchestration technologies (Docker, Kubernetes) in production.
• Experience using version control (Git) and agile methodologies (Scrum, Kanban) in global, cross team environments.
• Excellent analytical, problem-solving, communication and influencing skills, with the ability to engage with senior stakeholders and technical leaders.

Desirable Skills

• Deep experience with cloud platforms (AWS, GCP, Azure) and infrastructure automation (Terraform, Ansible).
• Familiarity with data streaming/event driven architectures (Kafka, Flink, Pulsar) and high throughput systems.
• Mature experience with CI/CD tooling (Jenkins, GitHub Actions) and micro frontend patterns.
• Strong testing & observability mindset (JUnit, Jest, Cypress) and performance optimisation.
• Prior experience in global engineering teams, mentoring senior and principal engineers, and setting engineering direction.

Soft Skills

• Demonstrated technical leadership and mentorship—capable of guiding others to drive technical excellence and elevate team delivery.
• Strategic thinker with business-oriented mindset: engineering decisions aligned with product and company goals.
• Agile, adaptable, curious—thrives in fastmoving environments, embraces change, and champions continuous improvement.

About the Role

Here at Anaplan, we have reinvented how companies see, plan, and run their businesses. Our platform allows our customers to uncover new insights, connect their strategy to their plans, and work in ways they had not previously thought possible. Anaplan is the only scenario planning and analysis platform designed to optimize decision-making in today's complex business environment so that enterprises can outpace their competition and the market. By building connections and collaboration across organizational silos, our platform intelligently surfaces key insights — so businesses can make the right decisions, right now. We are seeking a talented AI QA Lead to guide our team and ensure the quality and reliability of our cutting-edge AI and machine learning solutions.

Key Responsibilities

• Lead, mentor, and grow high-performing QA Engineers across multiple stream aligned teams.
• Define and drive the overall QA strategy for our Forecasting project, with a focus on time-series forecasting.
• Oversee the design, development, and maintenance of automated test frameworks.
• Guide the team in implementing and executing robust test cases for our AI-powered features and APIs.
• Champion the use of BDD frameworks, such as Gherkin, to create clear, concise, and maintainable tests.
• Ensure the team effectively tests and validates RESTful APIs to meet high standards of quality and performance.
• Collaborate with product managers, data scientists, and engineering leads to align on quality standards and release criteria.
• Oversee the identification, documentation, and tracking of bugs and inconsistencies in our AI/ML systems.
• Drive improvements to our CI/CD pipeline to ensure that our AI models are continuously tested and deployed with confidence.

Required Qualifications

• A skilled QA Engineer with 8+ years of experience testing and assuring the quality of complex platform, infrastructure, or data-centric systems.
• Strong proficiency in Python.
• Proven experience leading or mentoring a QA team in a fast-paced technical environment.
• Deep understanding of machine learning concepts and a proven track record of testing ML models, particularly in the domain of time-series forecasting.
• Expertise with testing frameworks such as pytest.
• Strong experience with Behavior-Driven Development (BDD) and Gherkin.
• In-depth knowledge of API testing and validation.
• Proficiency in modern software development practices (testing, code review, CI/CD).
• A proven track record of delivering complex technical projects on time with high quality.
• Excellent leadership, communication, and interpersonal skills.

Preferred Qualifications

• Experience with performance, scalability, and security testing of AI systems.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their AI/ML services.
• Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
• Experience with strategic planning and roadmap development for a QA function.
• A Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

What Makes This Role Exciting

• You will lead a talented team at the forefront of AI innovation, working on a platform that is transforming how businesses make decisions.
• You will have a strategic impact, shaping the future of quality for our AI-powered products.
• You will be part of a collaborative and creative leadership team that values openness, authenticity, and inclusivity.
• We are a fast-growing company, and you will have ample opportunities for professional growth and to define your team's trajectory.

Anaplan is looking for a Principal Software Engineer to be the technical leader for this critical initiative within our Experience Engineering workstream. You will define the long-term technical vision and architectural roadmap for adapting our platform for a global audience. This is a unique opportunity to own the strategy for internationalization (i18n) and localization (l10n) at scale for our award-winning planning technology. As Anaplan continues its strong growth in a competitive global market, delivering a world-class, localized experience is a key strategic priority, and you will be at the helm of the technical solution.

We are looking for a visionary and deeply technical leader who can navigate ambiguity, influence across the organization, and set the standard for engineering excellence.

Your Impact
•      Define the long-term technical vision and architectural roadmap for Anaplan's internationalization platform and infrastructure.
•      Lead the design and implementation of highly scalable, resilient systems for continuous localization, serving as the lead engineer and technical mentor.
•      Partner with engineering leadership and product management to shape the strategy for global readiness across all new features and products.
•      Solve the most complex technical challenges related to localization, anticipating future needs and ensuring architectural longevity.
•      Act as a force multiplier, mentoring senior engineers and driving technical excellence and best practices across multiple teams.
•      Directly enhance the experience for our global customers, making our platform more intuitive, accessible, and powerful for users in their native language.

Your Skills
•      Demonstrated ability to lead large-scale technical initiatives, from conception to delivery, and to make critical architectural decisions.
•      Understanding of i18n libraries and frameworks (e.g., i18next, ICU, react-intl.
•      Deep expertise in JavaScript (ES2015+), HTML, CSS, and modern front-end frameworks like React, preferably with TypeScript.
•      A collaborative mindset with exceptional communication skills, capable of building consensus and guiding technical strategy with empathy and clarity.
•      Expertise in writing scalable backend microservices; experience with the JVM (Java, Kotlin, Spring Boot) is a major plus.
•      Experience with deployment tools and technologies such as Docker, Kubernetes, and Terraform.
•      A history of presenting to stakeholders and a passion for sharing knowledge.

About the Role

Anaplan is looking for a skilled Python Machine Learning Developer to join our AI engineering organization. This is a crucial, hands-on developer role focused on building the robust backend systems that power our machine learning features. You are not just a developer; you are a software engineer who specializes in bringing ML models to life in a production environment. You will be responsible for designing, building, and deploying the APIs, data pipelines, and backend services necessary to integrate sophisticated machine learning capabilities into the Anaplan platform.

Key Responsibilities

• Design, build, and maintain scalable and reliable machine learning services and APIs using Python.
• Develop and productionize ML models, taking them from prototype to scalable, live systems.
• Construct and manage the data pipelines required for model training, validation, and inference.
• Build and interact with databases (both SQL and NoSQL) to store and retrieve data for ML applications.
• Write clean, high-quality, and well-tested code, adhering to software engineering best practices.
• Collaborate with data scientists, AI architects, and other engineers to integrate ML models into our products.
• Optimize applications for speed, scalability, and reliability.
• Contribute to our MLOps infrastructure to streamline the deployment and monitoring of machine learning models.

Required Qualifications

• Expert (10+ years) Python Programming: Strong, hands-on proficiency in Python for software development.
• Backend & API Development: Proven experience building and deploying backend services and RESTful APIs using frameworks like Flask, FastAPI, or Django.
• Database Proficiency: Solid experience with both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis) databases, including data modeling and query optimization.
• Machine Learning Libraries: Deep, practical knowledge of the core Python ML ecosystem:
• Data manipulation and analysis: Pandas, NumPy.
• Core ML frameworks: scikit-learn.
• Deep learning frameworks: Experience with TensorFlow or PyTorch.
• Strong understanding of software engineering principles, including data structures, algorithms, and design patterns.
• Experience with version control (Git) and CI/CD practices.
• Excellent problem-solving skills and the ability to write efficient, production-ready code.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
• Familiarity with containerization technologies like Docker and orchestration with Kubernetes.
• Experience with MLOps tools and principles (e.g., MLflow, Kubeflow).
• Knowledge of large-scale data processing frameworks like Spark or Dask.

What Makes This Role Exciting

This role places you at the critical intersection of software engineering and machine learning. You are a builder, responsible for creating the tangible systems that make our AI intelligent. You will tackle complex engineering challenges, from API design to database performance, all within the context of delivering cutting-edge machine learning features. At Anaplan, you will see your code run at scale, directly impacting a product used by leading global enterprises and solving real-world business problems.

We're seeking a versatile Senior GenAI Engineer who can work across the full stack of GenAI 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. 

This role is flexible in scope, and we welcome candidates at all experience levels. This role is a hybrid position and will require you to be in our Manchester office twice a week. 

Your Impact  

• Develop end-to-end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments 
• Integrate and optimize LLMs for specific use cases in business planning, including prompt engineering and 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 
• Optimize 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 productionize ML models and forecasting algorithms 
• Write comprehensive tests, including unit tests, integration tests, and prompt regression suites 
• Participate in code reviews, technical design discussions, and knowledge-sharing sessions 
• Stay current with GenAI research and tools, evaluating new models and techniques for potential adoption 

 Your Qualifications 

• Software engineering experience with a focus on ML/AI systems 
• Strong programming skills in Python, including experience with ML frameworks (PyTorch, TensorFlow, Transformers) 
• Experience building and deploying LLM-powered applications in production 
• Proficiency in front-end development with React, TypeScript, and modern web technologies 
• Understanding of RESTful API design, microservices architecture, and cloud infrastructure 
• Experience with prompt engineering, RAG systems 
• Strong foundation in ML fundamentals, including NLP, time-series analysis, or recommender systems 
• Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines 
• Excellent problem-solving skills and attention to detail 
• Bachelor's degree in computer science, Machine Learning, or related field 

Preferred Qualifications 

• Experience with GenAI frameworks (LangChain, LlamaIndex, Haystack, or similar) 
• Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models 
• Experience with model serving frameworks (vLLM, TensorRT, Ray) 
• 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 
• Experience with model observability tools (LangSmith, W&B, MLflow) 

 What Makes This Role Exciting 

• Lead a greenfield team building transformative AI capabilities from the ground up 
• Work on cutting-edge conversational and agentic AI technologies 
• Build user-facing AI features that directly impact how businesses plan and make decisions 
• Experiment with the latest GenAI models and techniques 
• Collaborate with talented engineers, data scientists, and product designers 
• Solve unique challenges at the intersection of AI and enterprise software 
• Grow your skills in both ML engineering and full-stack development 

#LI-SP1

About the Role

We are seeking an experienced Engineering Manager to join the leadership of our Core Functionality team. As one of several leaders on the team, you will be responsible for managing a high-performing team of engineers, driving technical excellence, and contributing to architectural decisions and technology strategy.

Key Responsibilities

• Lead and manage engineers; junior, mid-level, and senior.
• Champion engineering best practices, including code reviews, test development, and automated deployment processes.
• Build, mentor, and grow a high-performing engineering team through coaching and career development.
• Collaborate with product management to translate business requirements into technical solutions.
• Oversee the full development lifecycle, from planning and design to deployment and maintenance.
• Establish and monitor key engineering KPIs, focusing on flow metrics such as lead time, cycle time, and throughput to ensure predictability and efficiency.
• Drive continuous improvement in data engineering processes, tools, and methodologies.
• Manage technical debt and ensure the long-term health and scalability of our complex codebase.
• Foster a culture of curiosity, accountability, and technical excellence within the team.
• Provide regular reporting on team performance and project status to executive leadership.

Required Qualifications

• Strong software engineering experience on complex systems, including in an engineering management role.
• Strong hands-on experience with Java.
• Demonstrated success building and managing high-performance engineering teams.
• Excellent technical problem-solving and system design skills.
• Strong leadership abilities with experience in team building, mentoring, and performance management.
• Experience with Agile/Kanban methodologies and modern development practices.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Preferred Qualifications

• Deep experience with containerization technologies (Docker, Kubernetes).
• Experience implementing modern observability stacks (e.g., Prometheus, Grafana, ELK).
• Experience scaling engineering teams in fast-growing organizations.
• Knowledge of security best practices and compliance requirements.
• Advanced degree in Computer Science or a related field.

Anaplan is looking for a detail-oriented and collaborative QA Engineer to join our Experience Engineering team. You will be an essential member of a team dedicated to ensuring our platform delivers a world-class experience on the web. This is a fantastic opportunity to be the champion of quality for our award-winning planning technology and grow your skills in web testing. As Anaplan continues its strong growth, ensuring a seamless and reliable web experience is a key strategic priority.

We are looking for a passionate advocate for quality who is eager to learn and solve problems. In this role, you will help define and execute test strategies, identify and analyze issues, and follow best practices to ensure Anaplan delivers a seamless, intuitive, and powerful web experience to our customers.

Your Impact

• Help enhance the experience for our users by identifying, documenting, and tracking defects to ensure our platform is intuitive and accessible across all major web browsers.
• Work closely with product and engineering teams to understand feature requirements, provide early feedback, and ensure quality is a primary focus throughout the development lifecycle.
• Analyze interesting technical challenges in a web environment, including cross-browser compatibility issues, UI inconsistencies, state management bugs, and performance bottlenecks.
• Collaborate with developers and stakeholders to learn and apply best practices in web application testing and quality assurance across the organisation.

Core Qualifications

• Good problem-solving skills and a passion for building high-quality, well-tested systems.
• Experience in testing web applications, with a strong understanding of both manual and automated testing principles.
• A collaborative mindset and great communication skills, with an eagerness to learn from your team members and advocate for the user.

Helpful Experience

• Experience testing applications built with modern web frameworks like React.
• Familiarity with front-end development (HTML, CSS, JavaScript/TypeScript).
• Experience with front-end architecture, state management libraries (like Redux), and testing responsive UIs for modern browsers.
• An understanding of web application deployment and CI/CD processes.
• Familiarity with testing backend services and APIs; experience with API testing tools is a plus.

What We Offer

• A role at the heart of our web and global growth strategy.
• A supportive team that embraces and respects diverse perspectives and encourages learning.
• The opportunity to make a visible impact on a platform used by leading companies worldwide and grow your career in quality assurance.

The Role

The Core Performance engineering team is looking for a junior to mid-level software engineer to build and maintain performance tests and performance test frameworks that underpin our performance work at Anaplan, as well as advocate for strong software engineering principles for performant software. Performance is at the heart of everything we do at Anaplan, so we need someone who loves performance as well as advocating for the performance of the platform.

Your Impact

• A Strong Engineer: You've worked on large codebases before, and know SOLID principles of software engineering
• Accountable and self-directed: You hold yourself to a high standard, work independently, and take responsibility for outcomes.
• Ownership mindset: You see problems through to resolution and treat platform performance as your responsibility.
• Scale-oriented thinking: You look beyond individual fixes, create solutions that work across teams, and enable adoption through influence rather than mandate.
• Bias toward automation: You actively seek to eliminate repetitive work through automation and build durable solutions rather than manual processes.
• Data first: You are data-first, opinion second: you care about the quality of data provided for any decision, and you hold yourself to the highest standards of data quality
• You care about quality: You're an advocate for quality in everything you do, and review code with quality in mind as well as advocate for performance of the platform
• You get stuck in quickly: Anaplan moves fast, and you move faster to keep up with what's going on and how you can get involved
• Strong Convictions, held loosely: You advocate and are passionate, but are completely open to other voices and opinions

Your Skills

• Solid software engineering experience, working on large and complex systems
• Experience designing and building performant systems through sound engineering and architectural decisions
• Experience of delivering code into production and maintaining that code, working across both cloud and on-premise environments
• Experience diagnosing and resolving performance issues in production systems

Performance Engineer;

• Solid software engineering experience working on large or complex systems
• Hands-on experience with performance testing and familiarity with relevant performance testing tools
• Good understanding of system-level performance, including application, infrastructure, and network behaviour
• A code-first, automation-focused approach to performance engineering
• Experience working in cloud and or on-premise environments

Tech we use

• Java: We write many of our performance tests in Java, that compiles into jMeter
• jMeter: We performance test in jMeter
• Jenkins: We write our pipelines for performance testing in Jenkins, with deep integration into our "Core Server" delivery
• Grafana: Observability both of our pipelines and internal performance tests, as well as in production for performance of our customer

About the Role

We're pioneering a new role focused exclusively on quality assurance for GenAI systems. As our AI QA Engineer, you'll develop testing strategies, evaluation frameworks, and quality metrics specifically designed for LLM-powered applications. This role requires a unique blend of QA expertise, understanding of GenAI behaviour, and automation skills

to ensure our AI features are reliable, accurate, and trustworthy

Key Responsibilities

• Design and implement comprehensive testing strategies for GenAI features including conversational AI, agentic systems, and LLM-powered workflows
• Develop automated test suites for prompt testing, including regression tests that detect unintended changes in model behaviour
• Create evaluation frameworks to measure GenAI quality across multiple dimensions (accuracy, relevance, safety, consistency, latency)
• Build and maintain test datasets and golden examples that represent diverse user scenarios and edge cases
• Implement monitoring and alerting systems to detect quality degradation in production GenAI features
• Perform adversarial testing to identify potential failures, hallucinations, biases, or security vulnerabilities in AI systems
• Collaborate with engineers to define acceptance criteria and quality gates for AI feature releases
• Develop tools and frameworks that make it easy for engineers to test their GenAI implementations
• Conduct user acceptance testing and gather feedback on AI feature performance from internal users
• Document testing procedures, known issues, and quality metrics in clear, accessible formats
• Partner with Product and Design teams to ensure AI features meet user experience standards
• Stay current with GenAI testing methodologies, tools, and industry best practices

Required Qualifications

• 3+ years of QA or test engineering experience, preferably with AI/ML systems.
• Strong understanding of GenAI technologies including LLMs, prompt engineering, and AI application patterns
• Experience with test automation frameworks and scripting (Python, JavaScript, Selenium, Pytest)
• Knowledge of software testing methodologies (functional, integration, regression, performance, security testing)
• Ability to design test cases and evaluation criteria for non-deterministic systems
• Strong analytical and problem-solving skills with attention to detail
• Experience with API testing tools (Postman, REST Assured) and backend testing
• Familiarity with CI/CD pipelines and automated testing integration
• Excellent communication skills for documenting issues and collaboration

Preferred Qualifications

• Experience testing conversational AI, chatbots, or agentic systems
• Knowledge of ML model evaluation metrics and techniques
• Familiarity with LLM evaluation frameworks (LangSmith, PromptFoo, Ragas)
• Experience with performance testing and load testing AI APIs
• Understanding of responsible AI principles including fairness, transparency, and safety testing
• Background in enterprise software or SaaS QA
• Experience with test management tools (TestRail, Zephyr, Jira)
• Knowledge of security testing methodologies for AI systems
• Scripting experience with Python, including working with LLM APIs

What Makes This Role Exciting

• Define QA practices for GenAI applications
• Work on cutting-edge AI technologies and help ensure they're reliable and trustworthy
• Shape quality standards that will impact millions of enterprise users
• Collaborate closely with engineers, data scientists, and product teams
• Grow expertise in a highly specialized and increasingly important domain
• Influence the entire AI product development lifecycle from design to release
• Join a team that values quality as a first-class concern, not an afterthought

About the Role

We are seeking an experienced Engineering Manager to join the leadership of our Core Functionality team. As one of several leaders on the team, you will be responsible for managing a high-performing team of engineers, driving technical excellence, and contributing to architectural decisions and technology strategy.

Key Responsibilities

• Lead and manage engineers; junior, mid-level, and senior.
• Champion engineering best practices, including code reviews, test development, and automated deployment processes.
• Build, mentor, and grow a high-performing engineering team through coaching and career development.
• Collaborate with product management to translate business requirements into technical solutions.
• Oversee the full development lifecycle, from planning and design to deployment and maintenance.
• Establish and monitor key engineering KPIs, focusing on flow metrics such as lead time, cycle time, and throughput to ensure predictability and efficiency.
• Drive continuous improvement in data engineering processes, tools, and methodologies.
• Manage technical debt and ensure the long-term health and scalability of our complex codebase.
• Foster a culture of curiosity, accountability, and technical excellence within the team.
• Provide regular reporting on team performance and project status to executive leadership.

Required Qualifications

• Strong software engineering experience on complex systems, including in an engineering management role.
• Strong hands-on experience with Java.
• Demonstrated success building and managing high-performance engineering teams.
• Excellent technical problem-solving and system design skills.
• Strong leadership abilities with experience in team building, mentoring, and performance management.
• Experience with Agile/Kanban methodologies and modern development practices.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Preferred Qualifications

• Deep experience with containerization technologies (Docker, Kubernetes).
• Experience implementing modern observability stacks (e.g., Prometheus, Grafana, ELK).
• Experience scaling engineering teams in fast-growing organizations.
• Knowledge of security best practices and compliance requirements.
• Advanced degree in Computer Science or a related field.

As a Service Manager at Anaplan, you will be a pivotal member of a cross-functional engineering team, ensuring the stability and resilience of our business-critical platform.

Your primary impact will be driving operational excellence by:

• Leading Incident Management:You will command the end-to-end incident management lifecycle. This includes assessing and triaging technical events, managing communications during critical outages, and leading post-incident reviews (PIRs) to establish the root cause and prevent recurrence. This role includes participation in a 24/7/365 on-call rotation.
• Driving Proactive Improvement:You will move beyond reactive fixes by defining, documenting, and refining core service management processes based on ITIL/ITSM principles. By analyzing operational data for trends, you will proactively detect and prevent future problems, build a knowledge-sharing environment, and create service improvement plans.
• Serving as a Key Liaison:You will act as a crucial communication bridge between technical engineering teams, customer success departments, leadership, and customers. Your ability to provide clear, concise, and well-documented communications will be essential for managing expectations and ensuring compliance with customer Service Level Agreements (SLAs).

Your Qualifications:

Essential

• 3+ years of proven experience in Major Incident Management, Problem Management, and Relationship Management.
• 3+ years of practical experience working with ITIL principles and ITSM frameworks.
• ITIL v4 or v3 certification.
• A relevant university degree or equivalent professional industry experience.

Key Skills & Technologies

• Demonstrated expertise in ITSM tools, particularly the Atlassian suite (Jira Software, Jira Service Management, Confluence), Statuspage, and PagerDuty.
• Strong analytical and problem-solving skills, with a "be curious" mentality to investigate issues holistically.
• Excellent interpersonal and communication skills, with the confidence to collaborate in a globally diverse environment and articulate complex issues to both technical and non-technical audiences.
• A customer-centric mindset and the ability to operate with a high degree of personal accountability and minimal guidance.

Desirable

• Project Management certification (e.g., Prince 2).
• Major Incident Management (MIM) Professional Level qualifications.
• Experience with Grafana, other incident management tools, or Configuration Management Databases (CMDBs).

You’ll join the Platform & AI Enablement team within our GPTO Engineering, Orchestration, and Data organization as a Software Engineer, based in our Manchester, UK (hybrid) office. The team is responsible for building core capabilities that power our data infrastructure—enabling scalable, resilient, and intelligent systems to support enterprise-scale Business Planning Software solutions.

Your Impact

• Design, build, and ship enterprise-grade applications that serve thousands of tenants and tens of thousands of customers
• Write high-quality, well-tested code in Java and React, delivering features from idea to production in fast release cycles
• Collaborate daily with engineers, designers, and product managers to iterate quickly while keeping long-term maintainability in mind
• Apply engineering best practices in code reviews, pair programming, and design discussions, helping to raise the bar for quality
• Contribute to our API-first platform, ensuring consistency, reliability, and developer-friendly design across services
• Take pride in building software that is robust, secure, and scalable, while championing automation and CI/CD in every step of delivery
• Be an active voice in shaping solutions, bringing ideas to the table, and collaborating openly without ego.

Your Qualifications

• Hands-on software engineering experience (Java + React as core strengths)
• A proven track record of delivering enterprise-scale applications in collaborative team environments
• Strong knowledge of APIs, event-driven systems, and data-centric architectures
• Familiarity with CI/CD pipelines, automated testing, and daily release workflows
• Experience working in environments where quality, security, and performance cannot be compromised
• Excellent collaboration skills, with the ability to work across multiple teams and communicate clearly in fast-moving projects
• A genuine passion for software engineering as a craft — you code because you love it, not just as a job

Preferred Skills

• Have experience in scaling systems that support large multi-tenant customer bases
• Bring a polyglot mindset, using the right tool for the job when needed
• Enjoy mentoring junior engineers through pair programming, design input, or sharing best practices
• Thrive in fast-paced, high-velocity environments without cutting corners on quality
• Have a curiosity for new technologies and approaches, always looking for ways to improve how we build software

#LI-SP1

Team Description 

As part of the ADO Platform Enablement team under GPTO Engineering, you’ll report to the Sr. Director Engineering. This team is accountable for shaping enterprise data architecture, enabling high-performance AI-driven workloads, and acting as a technical bridge between engineering and architecture. 

Your Impact 

Team Leadership & Development 

• Build, mentor, and scale a high-performing engineering team based on actual demand and delivery needs 

• Provide hands-on coaching and guidance to Principal Engineers and team members, fostering technical excellence and career growth 

• Quickly establish trust with team members, peers, and stakeholders through authentic engagement and delivery 

• Champion engineering culture that balances pragmatic delivery with sustainable practices 

Delivery Excellence 

• Drive fast-paced, continuous delivery practices—leading the transformation from monthly to daily release cycles 

• Balance process rigor with delivery velocity; know when documentation adds value and when it creates friction 

• Apply and evangelize proper use of DORA metrics to measure and improve team performance 

• Ensure platform capabilities for data processing, AI, and developer acceleration ship reliably and on schedule 

• Take ownership of delivery outcomes; work proactively with Product Management without waiting for perfect requirements 

Technical Strategy & Collaboration 

• Partner closely with architects to align implementation patterns with long-term technical direction 

• Create clear, compelling strategy papers, roadmaps, and presentations for technical and executive audiences 

• Collaborate across globally distributed teams with awareness of time zone considerations and asynchronous work patterns 

• Guide teams in embedding AI/ML features—prompt engineering, model inference, feature pipelines—into platform services 

• Contribute to technical planning, architecture decisions, and incident retrospectives 

Platform & Product Mindset 

• Apply product thinking to platform solutions, ensuring they meet real business and customer needs 

• Champion innovation in performance, tooling, and platform capabilities 

• Oversee design and delivery of full stack solutions spanning React, Java, and Python 

• Facilitate cross-functional collaboration across engineering, product, and architecture 

Your Qualifications 

Leadership & Management 

• 10+ years of software engineering experience with 5+ years in engineering management or technical leadership 

• Proven track record managing teams through significant process transformations (e.g., monthly to daily releases) 

• Experience managing both technical leads/Principal Engineers and individual contributors 

• Demonstrated ability to scale teams thoughtfully based on demand, not politics 

Technical Depth 

• Strong software development background with hands-on experience in platform, infrastructure, or data-centric environments 

• Deep expertise in event-driven architectures, streaming technologies (e.g. Apache Kafka, Flink, and/or Pulsar) 

• Proficiency across full stack technologies (Java, .Net, React) with ability to guide technical decisions 

• Knowledge of hybrid/cloud-agnostic infrastructure, CI/CD, GitOps, and continuous delivery workflows 

Delivery & Process 

• Pragmatic approach to balancing process, documentation, and speed of delivery 

• Deep understanding of DORA metrics and their proper application to drive improvement 

• Experience leading high-velocity engineering organizations with daily release cadence 

• Skilled at change management and cultural transformation in engineering teams 

Communication & Collaboration 

• Exceptional communication skills—written and verbal—with ability to influence across all levels 

• Experienced creating executive-level strategy documents, roadmaps, and presentations 

• Comfortable working with globally distributed teams across multiple timezones 

• Strong collaborative partnership with Product Management; proactive problem-solving mindset 

Preferred Skills 

• Track record of building trust rapidly in new environments 

• Passion for technical mentorship and elevating team capabilities 

• Experience scaling systems and teams under high throughput demands 

• Ability to navigate ambiguity and drive delivery without perfect information 

• Comfort with asynchronous collaboration and remote team dynamics 

• Experience in hybrid engineering-management roles (player-coach background) 

Team Description 

Join the Platform Experience team, a core group within our GPTO Engineering organization, where you will report to the Director of Engineering. Our team is on a mission to provide the unshakeable foundation of trust, security, and scale for the entire Anaplan ecosystem. We empower our internal developers and external partners to build with speed and confidence. 

Your Impact 

• Lead the technical vision and execution for quality assurance across our Platform Experience, spanning Product Security, Platform Management, and Data Integration. 
• Architect, design, and build the next generation of highly available, secure, and scalable testing frameworks and strategies that ensure the robustness and reliability of our platform's backbone services. 
• Collaborate with architects and Product Partners to align quality assurance implementation patterns with long-term direction, applying a product mindset to ensure platform quality solutions meet business and customer needs. 
• Set the standard for QA engineering excellence through hands-on leadership in test automation architecture, insightful quality design, and strategic guidance across our backend technology stack (Java, Kotlin, Go, .NET). 
• Mentor QA engineers and software engineers across teams through test design input, automation framework reviews, and best practice sharing for quality. 
• Champion innovation in performance testing, security testing, tooling, and overall platform quality features. 
• Drive technical planning for quality initiatives, shape our long-term quality strategy, and lead critical incident retrospectives from a quality perspective to ensure continuous improvement. 

Your Qualifications 

• A seasoned QA professional with 12+ years of experience building, testing, and scaling complex platform, infrastructure, or data-centric systems. 
• Deep, hands-on expertise in designing, developing, and implementing advanced test automation frameworks for modern back-end applications (Java/J2EE, Kotlin, Go, .NET) and distributed systems using RESTful APIs and event-driven patterns. 
• Extensive experience with K8s, public and private cloud; multi-region, multi-tenant topologies from a quality assurance perspective. 
• Proven experience with CI/CD, GitOps, and high-velocity release workflows, with a strong focus on integrating and automating quality gates throughout the pipeline. 
• Strong cross-functional collaboration and communication skills, with a track record of influencing engineering and product strategy to embed quality practices at every stage. 

Preferred Skills 

• Proven experience influencing architecture and platform quality strategy. 
• Passion for technical mentorship and elevating engineering and QA culture. 
• Experience scaling quality efforts under high throughput demands and complex system interactions. 
• Ability to drive sustainable quality delivery without sacrificing engineering velocity. 

• • Comfortable navigating globally distributed teams and asynchronous collaboration in a senior quality leadership role. 

About the Role

Anaplan is looking for a skilled Python Machine Learning Developer to join our AI engineering organization. This is a crucial, hands-on developer role focused on building the robust backend systems that power our machine learning features. You are not just a developer; you are a software engineer who specializes in bringing ML models to life in a production environment. You will be responsible for designing, building, and deploying the APIs, data pipelines, and backend services necessary to integrate sophisticated machine learning capabilities into the Anaplan platform.

Key Responsibilities

• Design, build, and maintain scalable and reliable machine learning services and APIs using Python.
• Develop and productionize ML models, taking them from prototype to scalable, live systems.
• Construct and manage the data pipelines required for model training, validation, and inference.
• Build and interact with databases (both SQL and NoSQL) to store and retrieve data for ML applications.
• Write clean, high-quality, and well-tested code, adhering to software engineering best practices.
• Collaborate with data scientists, AI architects, and other engineers to integrate ML models into our products.
• Optimize applications for speed, scalability, and reliability.
• Contribute to our MLOps infrastructure to streamline the deployment and monitoring of machine learning models.

Required Qualifications

• Expert (6+ years) Python Programming: Strong, hands-on proficiency in Python for software development.
• Backend & API Development: Proven experience building and deploying backend services and RESTful APIs using frameworks like Flask, FastAPI, or Django.
• Database Proficiency: Solid experience with both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis) databases, including data modeling and query optimization.
• Machine Learning Libraries: Deep, practical knowledge of the core Python ML ecosystem:
• Data manipulation and analysis: Pandas, NumPy.
• Core ML frameworks: scikit-learn.
• Deep learning frameworks: Experience with TensorFlow or PyTorch.
• Strong understanding of software engineering principles, including data structures, algorithms, and design patterns.
• Experience with version control (Git) and CI/CD practices.
• Excellent problem-solving skills and the ability to write efficient, production-ready code.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
• Familiarity with containerization technologies like Docker and orchestration with Kubernetes.
• Experience with MLOps tools and principles (e.g., MLflow, Kubeflow).
• Knowledge of large-scale data processing frameworks like Spark or Dask.

What Makes This Role Exciting

This role places you at the critical intersection of software engineering and machine learning. You are a builder, responsible for creating the tangible systems that make our AI intelligent. You will tackle complex engineering challenges, from API design to database performance, all within the context of delivering cutting-edge machine learning features. At Anaplan, you will see your code run at scale, directly impacting a product used by leading global enterprises and solving real-world business problems.

About the Role 

Anaplan is on a mission to revolutionize business planning by connecting organizations and people to make better, faster decisions. We are seeking a visionary Senior Manager for AI Engineering to lead our talented team in building the next generation of intelligent planning solutions. This is a critical leadership role where you will drive the technical strategy and execution for AI/ML initiatives, directly impacting Anaplan’s product and our customers' success. You will be at the forefront of integrating cutting-edge AI, from time series forecasting to generative and agentic AI, into our market-leading platform. 

Key Responsibilities 

• Lead, mentor, and grow a high-performing team of AI/ML engineers, fostering a culture of innovation, collaboration, and excellence. 

• Define and execute the roadmap for AI/ML projects, ensuring alignment with business objectives and product strategy. 

• Architect and oversee the development of scalable, robust, and production-grade AI systems on cloud platforms (AWS, Azure, GCP). 

• Drive best practices for the full machine learning lifecycle, including MLOps, CI/CD for ML, model monitoring, and governance. 

• Collaborate closely with product managers, data scientists, and other engineering leaders to translate business requirements into technical solutions. 

• Stay at the forefront of advancements in AI/ML, including Large Language Models (LLMs) and agentic AI, to identify and implement new opportunities. 

• Manage project timelines, resources, and stakeholder communication to ensure the timely delivery of high-quality AI solutions. 

Required Qualifications 

• Proven experience leading AI/ML teams in a SaaS or enterprise software environment. 

• Deep expertise in time series forecasting and machine learning. 

• Experience architecting and deploying scalable, production-grade AI systems on cloud platforms (AWS, Azure, GCP). 

• Solid understanding of MLOps, CI/CD for ML, and cloud-native architectures. 

• Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns. 

• 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. 

• Excellent communication, collaboration, and stakeholder management skills. 

• Track record of delivering impactful AI solutions in a fast-paced, agile environment. 

Preferred Qualifications 

• Master’s or Ph.D. in Computer Science, AI, Machine Learning, or a related field. 

• Experience with large-scale data processing frameworks like Spark. 

• Familiarity with the challenges of applying AI in enterprise planning or financial domains. 

• A portfolio of published research or contributions to open-source AI projects. 
• Experience requrired - 15+ Yrears

What Makes This Role Exciting 

You will be a key leader in Anaplan’s AI journey, with the autonomy to shape our technical direction and build a world-class engineering team. This is a unique opportunity to solve complex, real-world problems and deliver intelligent solutions that empower major global enterprises to make more informed decisions. You will work with a passionate team on the cutting edge of AI, making a tangible impact on our product and the industry. 

About the Role

Anaplan is looking for a skilled Python Machine Learning Developer to join our AI engineering organization. This is a crucial, hands-on developer role focused on building the robust backend systems that power our machine learning features. You are not just a developer; you are a software engineer who specializes in bringing ML models to life in a production environment. You will be responsible for designing, building, and deploying the APIs, data pipelines, and backend services necessary to integrate sophisticated machine learning capabilities into the Anaplan platform.

Key Responsibilities

• Design, build, and maintain scalable and reliable machine learning services and APIs using Python.
• Develop and productionize ML models, taking them from prototype to scalable, live systems.
• Construct and manage the data pipelines required for model training, validation, and inference.
• Build and interact with databases (both SQL and NoSQL) to store and retrieve data for ML applications.
• Write clean, high-quality, and well-tested code, adhering to software engineering best practices.
• Collaborate with data scientists, AI architects, and other engineers to integrate ML models into our products.
• Optimize applications for speed, scalability, and reliability.
• Contribute to our MLOps infrastructure to streamline the deployment and monitoring of machine learning models.

Required Qualifications

• Expert (6+ years) Python Programming: Strong, hands-on proficiency in Python for software development.
• Backend & API Development: Proven experience building and deploying backend services and RESTful APIs using frameworks like Flask, FastAPI, or Django.
• Database Proficiency: Solid experience with both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis) databases, including data modeling and query optimization.
• Machine Learning Libraries: Deep, practical knowledge of the core Python ML ecosystem:
• Data manipulation and analysis: Pandas, NumPy.
• Core ML frameworks: scikit-learn.
• Deep learning frameworks: Experience with TensorFlow or PyTorch.
• Strong understanding of software engineering principles, including data structures, algorithms, and design patterns.
• Experience with version control (Git) and CI/CD practices.
• Excellent problem-solving skills and the ability to write efficient, production-ready code.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
• Familiarity with containerization technologies like Docker and orchestration with Kubernetes.
• Experience with MLOps tools and principles (e.g., MLflow, Kubeflow).
• Knowledge of large-scale data processing frameworks like Spark or Dask.

What Makes This Role Exciting

This role places you at the critical intersection of software engineering and machine learning. You are a builder, responsible for creating the tangible systems that make our AI intelligent. You will tackle complex engineering challenges, from API design to database performance, all within the context of delivering cutting-edge machine learning features. At Anaplan, you will see your code run at scale, directly impacting a product used by leading global enterprises and solving real-world business problems.

Team Description

The Data Engineering team is responsible for developing and maintaining the company’s data ingestion and processing pipelines. This role collaborates with data scientists, software engineers, business analysts, and technical leads to build reliable data infrastructure that supports decision-making for apparel brands and retailers. The position reports to the Technical Lead within the Data Engineering function.

Your Impact

• Contribute to the development and enhancement of data ingestion and processing pipelines
• Partner with product managers, data scientists, and engineers to build and maintain accurate and robust data infrastructure managing first- and second-party data
• Collaborate with technical leads and senior engineers on data architecture decisions and implementation strategies
• Support the team in delivering scalable solutions while learning and growing your expertise
• Work as part of a collaborative team that values creativity and continuous improvement
• Help build and maintain data pipelines that support AI and decision-making tools

Your Qualifications

• Commercial & proven experience in data engineering or related technical roles
• Proficiency in SQL and Python for data processing and pipeline development
• Experience with data warehousing concepts and ETL/ELT processes
• Hands-on experience with modern data platforms such as Snowflake, Databricks, or Redshift
• Familiarity with data orchestration tools like Apache Airflow, Prefect, or DBT
• Experience working with columnar formats like Parquet and Avro
• Understanding of data modeling, database optimization, and performance tuning
• Experience integrating data from various sources including APIs, FTP, and cloud storage

Preferred Skills

• Knowledge of streaming data processing and data APIs
• Knowledge of cloud platforms, particularly AWS
• Familiarity with infrastructure as code and CI/CD practices
• Experience with time series data

About the Role 

Anaplan is on a mission to revolutionize business planning by connecting organizations and people to make better, faster decisions. We are seeking a visionary Senior Manager for AI Engineering to lead our talented team in building the next generation of intelligent planning solutions. This is a critical leadership role where you will drive the technical strategy and execution for AI/ML initiatives, directly impacting Anaplan’s product and our customers' success. You will be at the forefront of integrating cutting-edge AI, from time series forecasting to generative and agentic AI, into our market-leading platform. 

Key Responsibilities 

• Lead, mentor, and grow a high-performing team of AI/ML engineers, fostering a culture of innovation, collaboration, and excellence. 

• Define and execute the roadmap for AI/ML projects, ensuring alignment with business objectives and product strategy. 

• Architect and oversee the development of scalable, robust, and production-grade AI systems on cloud platforms (AWS, Azure, GCP). 

• Drive best practices for the full machine learning lifecycle, including MLOps, CI/CD for ML, model monitoring, and governance. 

• Collaborate closely with product managers, data scientists, and other engineering leaders to translate business requirements into technical solutions. 

• Stay at the forefront of advancements in AI/ML, including Large Language Models (LLMs) and agentic AI, to identify and implement new opportunities. 

• Manage project timelines, resources, and stakeholder communication to ensure the timely delivery of high-quality AI solutions. 

Required Qualifications 

• Proven experience leading AI/ML teams in a SaaS or enterprise software environment. 

• Deep expertise in time series forecasting and machine learning. 

• Experience architecting and deploying scalable, production-grade AI systems on cloud platforms (AWS, Azure, GCP). 

• Solid understanding of MLOps, CI/CD for ML, and cloud-native architectures. 

• Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns. 

• 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. 

• Excellent communication, collaboration, and stakeholder management skills. 

• Track record of delivering impactful AI solutions in a fast-paced, agile environment. 

Preferred Qualifications 

• Master’s or Ph.D. in Computer Science, AI, Machine Learning, or a related field. 

• Experience with large-scale data processing frameworks like Spark. 

• Familiarity with the challenges of applying AI in enterprise planning or financial domains. 

• A portfolio of published research or contributions to open-source AI projects. 
• Experience - 15+ years

What Makes This Role Exciting 

You will be a key leader in Anaplan’s AI journey, with the autonomy to shape our technical direction and build a world-class engineering team. This is a unique opportunity to solve complex, real-world problems and deliver intelligent solutions that empower major global enterprises to make more informed decisions. You will work with a passionate team on the cutting edge of AI, making a tangible impact on our product and the industry. 

About the Role

We're seeking a versatile GenAI Software Engineer who can work across the full stack of GenAI 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.

Key Responsibilities

• Develop end-to-end GenAI features including backend API services, model integration, model monitoring, evaluations and deployments
• Integrate and optimize 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
• Optimize 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 productionize ML models and forecasting algorithms
• Write comprehensive tests including unit tests, integration tests, and prompt regression suites
• Participate in code reviews, technical design discussions, and knowledge-sharing sessions
• Stay current with GenAI research and tools, evaluating new models and techniques for potential adoption

Required Qualifications

• 3+ years of software engineering experience with 2+ years of understanding on ML/AI systems.
• Strong programming skills in Python including understanding of ML frameworks (PyTorch, TensorFlow, Transformers)
• Understanding or experience of building and deploying LLM-powered applications in production
• Understanding or experience of front-end development with React, TypeScript, and modern web technologies
• Understanding of RESTful API design, microservices architecture, and cloud infrastructure
• Experience with prompt engineering, RAG systems
• Understanding of ML fundamentals including NLP, time-series analysis, or recommender systems
• Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines
• Excellent problem-solving skills and attention to detail
• Bachelor’s degree in computer science, Machine Learning, or related field

Preferred Qualifications

• Experience with GenAI frameworks (LangChain, LlamaIndex, Haystack, or similar)
• Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models
• Experience with model serving frameworks (vLLM, TensorRT, Ray)
• 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
• Experience with model observability tools (LangSmith, W&B, MLflow)

What Makes This Role Exciting

• Lead a greenfield team building transformative AI capabilities from the ground up
• Work on cutting-edge conversational and agentic AI technologies
• Build user-facing AI features that directly impact how businesses plan and make decisions
• Experiment with the latest GenAI models and techniques
• Collaborate with talented engineers, data scientists, and product designers
• Solve unique challenges at the intersection of AI and enterprise software
• Grow your skills in both ML engineering and full-stack development

Team Description 

As part of the ADO team under GPTO Engineering, you’ll report to the Sr. Director Engineering. This team is accountable for Quality/Performance assuring enterprise data architecture, enabling high-performance AI-driven workloads, and acting as a technical bridge between engineering and architecture. 

Your Impact 

Team Leadership & Development 

• Build, mentor, and scale a high-performing engineering team based on actual demand and delivery needs 

• Provide hands-on coaching and guidance to Principal Engineers and team members, fostering technical excellence and career growth 

• Quickly establish trust with team members, peers, and stakeholders through authentic engagement and delivery 

• Champion engineering culture that balances pragmatic delivery with sustainable practices 

Delivery Excellence 

• Drive fast-paced, continuous delivery practices—leading the transformation from monthly to daily release cycles 

• Balance process rigor with delivery velocity; know when documentation adds value and when it creates friction 

• Apply and evangelize proper use of DORA metrics to measure and improve team performance 

• Ensure platform capabilities for data processing, AI, and developer acceleration ship reliably and on schedule 

• Take ownership of delivery outcomes; work proactively with Product Management without waiting for perfect requirements 

Technical Strategy & Collaboration 

• Partner closely with architects to align implementation patterns with long-term technical direction 

• Create clear, compelling strategy papers, roadmaps, and presentations for technical and executive audiences 

• Collaborate across globally distributed teams with awareness of time zone considerations and asynchronous work patterns 

• Guide teams in embedding AI/ML features—prompt engineering, model inference, feature pipelines—into platform services 

• Contribute to technical planning, architecture decisions, and incident retrospectives 

Platform & Product Mindset 

• Apply product thinking to platform solutions, ensuring they meet real business and customer needs 

• Champion innovation in performance, tooling, and platform capabilities 

• Oversee design and delivery of full stack solutions spanning React, Java, and Python 

• Facilitate cross-functional collaboration across engineering, product, and architecture 

Your Qualifications 

Leadership & Management 

• 10+ years of software engineering experience with 5+ years in engineering management or technical leadership 

• Proven track record managing teams through significant process transformations (e.g., monthly to daily releases) 

• Experience managing both technical leads/Principal Engineers and individual contributors 

• Demonstrated ability to scale teams thoughtfully based on demand, not politics 

Technical Depth 

• Strong software development background with hands-on experience in platform, infrastructure, or data-centric environments 

• Deep expertise in event-driven architectures, streaming technologies (e.g. Apache Kafka, Flink, and/or Pulsar) 

• Proficiency across full stack technologies (Java, .Net, React) with ability to guide technical decisions 

• Knowledge of hybrid/cloud-agnostic infrastructure, CI/CD, GitOps, and continuous delivery workflows 

Delivery & Process 

• Pragmatic approach to balancing process, documentation, and speed of delivery 

• Deep understanding of DORA metrics and their proper application to drive improvement 

• Experience leading high-velocity engineering organizations with daily release cadence 

• Skilled at change management and cultural transformation in engineering teams 

Communication & Collaboration 

• Exceptional communication skills—written and verbal—with ability to influence across all levels 

• Experienced creating executive-level strategy documents, roadmaps, and presentations 

• Comfortable working with globally distributed teams across multiple timezones 

• Strong collaborative partnership with Product Management; proactive problem-solving mindset 

Preferred Skills 

• Track record of building trust rapidly in new environments 

• Passion for technical mentorship and elevating team capabilities 

• Experience scaling systems and teams under high throughput demands 

• Ability to navigate ambiguity and drive delivery without perfect information 

• Comfort with asynchronous collaboration and remote team dynamics 

• Experience in hybrid engineering-management roles (player-coach background) 

We seek a AI Software Engineer to join our AI infrastructure team. This team owns and operates a core service that runs AI-powered agents and their associated infrastructure, ensuring reliability, scalability, and ease of use for internal and external stakeholders. You’ll work across backend systems, front-end integration, and AI/ML workflows, with opportunities to expand your expertise in prompt engineering, Retrieval-Augmented Generation (RAG), and large language model (LLM) interactions.

Your Impact

• Design, build, and maintain services and infrastructure that manage AI-powered agents.
• Develop backend services in Python, with comprehensively tested and self-documented APIs.
• Work with Agentic AI frameworks and implement prompt engineering best practices to build scalable foundational platform.
• Work with relational databases (MySQL) to store, query, and optimize structured data.
• Collaborate with product and research teams to refine and implement the product roadmap.
• Support front-end teams using React/JS components and wrappers for AI-driven experiences.
• Learn, apply, and optimize RAG systems, including vector databases, embeddings, and document chunking strategies.
• Build a practical understanding of how large language models (LLMs) work and deepen expertise in effective interactions with LLMs for agent orchestration.
• Monitor, debug, and optimize system performance, ensuring high reliability in production environments.

Your Qualifications 

• Strong proficiency and experience working with Python-based services
• Hands-on experience with relational databases (MySQL or similar).
• Familiarity with React and ability to support front-end AI integrations.
• Basic understanding of large language models and eagerness to expand knowledge.
• Demonstrated interest or experience in prompt engineering and working with LLMs.
• Strong problem-solving, debugging, and collaboration skills.

Nice-to-Have

• Prior experience with vector databases (Pinecone, Weaviate, FAISS, etc.).
• Knowledge of retrieval-augmented generation (RAG) pipelines.
• Experience with AI/ML infrastructure or agent frameworks.
• Familiarity with cloud environments (AWS, GCP, Azure) and containerized deployments (Docker, Kubernetes).

We are seeking a talented mid-level Software Developer to join our growing engineering team as an individual contributor. You will work closely with our Engineering Manager and cross-functional teams to build scalable web applications and cloud-based solutions using modern technologies. This role offers the opportunity to contribute to architectural decisions while focusing on delivering high-quality code and technical solutions.

Key Responsibilities

• Develop and maintain scalable web applications using .NET Framework/Core/5+ and modern UI frameworks
• Develop, maintain and modernize Excel integrated .Net add-in for existing client base.
• Write clean, maintainable, and well-tested code following established engineering best practices
• Collaborate with engineering teams, product management, and design to implement technical solutions
• Participate in code reviews and contribute to improving development standards and processes
• Build and maintain RESTful APIs and integrate with third-party services
• Work with cloud platforms (Azure/AWS) to deploy and maintain applications
• Contribute to technical design discussions and architectural decisions
• Implement automated testing strategies and participate in CI/CD pipeline development
• Troubleshoot and resolve technical issues across the full software development lifecycle
• Participate in Agile/Scrum ceremonies and contribute to sprint planning and estimation
• Stay current with emerging technologies and recommend improvements to existing systems
• Mentor junior developers and contribute to knowledge sharing within the team

Required Qualifications

• 3-5 years of professional software development experience
• Strong proficiency in .NET framework and .NET Core/5+ development
• Experience with modern UI frameworks (Angular, React, or Vue.js)
• Solid understanding of web development fundamentals (HTML, CSS, JavaScript)
• Experience with cloud platforms, preferably Azure or AWS
• Proficiency in database design and development (SQL Server, PostgreSQL, or similar)
• Understanding of software architecture patterns and design principles
• Experience with version control systems (Git) and collaborative development workflows
• Knowledge of API design and development (REST, JSON)
• Familiarity with Agile/Scrum methodologies
• Strong problem-solving skills and attention to detail
• Excellent communication and collaboration abilities
• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience

Preferred Qualifications

• Experience in Windows client application development
• Experience with containerization technologies (Docker, Kubernetes)
• Knowledge of DevOps practices including CI/CD pipelines and infrastructure as code
• Experience with automated testing frameworks and test-driven development
• Familiarity with microservices architecture and distributed systems
• Experience with NoSQL databases and data modeling
• Knowledge of GraphQL and modern API development practices
• Experience with monitoring and logging tools (Application Insights, New Relic, etc.)
• Understanding of security best practices and secure coding principles
• Experience with mobile development or full-stack development
• Knowledge of performance optimization and scalability considerations
• Previous experience in a startup or high-growth technology environment

What We Offer

• Competitive salary and comprehensive benefits package
• Opportunity to work with cutting-edge technologies and contribute to technical decisions
• Professional development opportunities and conference attendance support
• Flexible work arrangements with remote work options
• Collaborative team environment with experienced engineering leadership
• Health, dental, and vision insurance
• Generous PTO and parental leave policies
• Performance-based bonuses and growth opportunities
• Modern development tools and collaborative workspace

We're looking for a hands-on GenAI Team Leader to build and lead our GenAI engineering team. You'll drive execution of our conversational AI and agentic AI roadmap, managing a team of talented engineers while remaining hands-on yourself. This role requires both exceptional leadership skills and the ability to roll up your sleeves and solve complex technical problems. 

This role is a hybrid position. You must be in our London office two days a week. 

Your Impact: 

• Lead, mentor, and grow a team of 5-8 GenAI engineers, fostering a culture of technical excellence, innovation, and delivery 
• Drive end-to-end execution of conversational AI features that enable users to interact with Anaplan models through natural language 
• Oversee the development of agentic AI systems that can autonomously analyze data, generate insights, and execute planning workflows 
• Own the team's delivery roadmap, working closely with product management to prioritize features and manage technical trade-offs 
• Establish engineering best practices for GenAI development, including testing strategies, evaluation frameworks, and deployment patterns 
• Lead sprint planning, technical design reviews, and retrospectives to ensure consistent delivery velocity and quality 
• Collaborate with AI Solutions Architects to translate architectural vision into executable engineering plans 
• Build and maintain CI/CD pipelines for GenAI applications, including automated testing and prompt regression suites 
• Partner with platform teams to ensure AI features integrate seamlessly with Anaplan's core infrastructure 
• Manage technical debt, refactoring initiatives, and platform improvements while maintaining feature delivery momentum 
• Recruit and onboard top engineering talent, conducting technical interviews and building a diverse, high-performing team 
• Communicate progress, risks, and technical decisions to senior leadership and cross-functional stakeholders 

Your Qualifications

• Software engineering experience with experience leading engineering teams 
• Strong hands-on experience building and deploying GenAI applications in production 
• Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns 
• 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 
• Strong project management skills with experience using Agile/Scrum methodologies 
• Excellent communication and stakeholder management abilities 
• Demonstrated ability to mentor engineers and build cohesive, productive teams 
• Bachelor's degree in computer science or related field 

 Preferred Qualifications 

• Experience leading teams in fast-growing startups or enterprise software companies 
• Knowledge of financial planning, analytics, or business intelligence domains 
• Experience with RAG systems, vector databases, and semantic search 
• Familiarity with model fine-tuning, evaluation, and continuous improvement workflows 
• Background in distributed systems, microservices, or cloud-native architectures 
• Experience with TypeScript/React for full-stack AI applications 
• Track record of improving engineering velocity and team productivity metrics  

What Makes This Role Exciting 

• Lead a greenfield team building transformative AI capabilities from the ground up 
• Work on cutting-edge conversational and agentic AI technologies 
• Shape engineering culture and practices for Anaplan's AI organization 
• Join during a transformative phase as Anaplan embeds AI throughout its platform 

#LI-SP1

We're seeking a versatile Senior GenAI Engineer who can work across the full stack of GenAI 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  

• Develop end-to-end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments 
• Integrate and optimize LLMs for specific use cases in business planning, including prompt engineering and 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 
• Optimize 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 productionize ML models and forecasting algorithms 
• Write comprehensive tests, including unit tests, integration tests, and prompt regression suites 
• Participate in code reviews, technical design discussions, and knowledge-sharing sessions 
• Stay current with GenAI research and tools, evaluating new models and techniques for potential adoption 

 Your Qualifications 

• Software engineering experience with a focus on ML/AI systems 
• Strong programming skills in Python, including experience with ML frameworks (PyTorch, TensorFlow, Transformers) 
• Experience building and deploying LLM-powered applications in production 
• Proficiency in front-end development with React, TypeScript, and modern web technologies 
• Understanding of RESTful API design, microservices architecture, and cloud infrastructure 
• Experience with prompt engineering, RAG systems 
• Strong foundation in ML fundamentals, including NLP, time-series analysis, or recommender systems 
• Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines 
• Excellent problem-solving skills and attention to detail 
• Bachelor's degree in computer science, Machine Learning, or related field 

Preferred Qualifications 

• Experience with GenAI frameworks (LangChain, LlamaIndex, Haystack, or similar) 
• Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models 
• Experience with model serving frameworks (vLLM, TensorRT, Ray) 
• 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 
• Experience with model observability tools (LangSmith, W&B, MLflow) 

 What Makes This Role Exciting 

• Lead a greenfield team building transformative AI capabilities from the ground up 
• Work on cutting-edge conversational and agentic AI technologies 
• Build user-facing AI features that directly impact how businesses plan and make decisions 
• Experiment with the latest GenAI models and techniques 
• Collaborate with talented engineers, data scientists, and product designers 
• Solve unique challenges at the intersection of AI and enterprise software 
• Grow your skills in both ML engineering and full-stack development 

#LI-SP1

At Anaplan, we are building the next generation of enterprise planning technology that enables organisations to make faster, smarter decisions.

We are looking for a Full-Stack Engineer to contribute to the design and development of end-to-end product experiences, spanning backend services, APIs, and modern web applications.

This role sits within the Platform Application Framework (PAF) team — a foundational platform that provides shared application patterns, reusable components, and developer frameworks used across Anaplan. PAF enables teams to build consistent, scalable, and high-quality applications by standardising how services are developed, integrated, and operated. It plays a critical role in improving developer productivity, ensuring reliability, and accelerating delivery across the platform.

You will work closely with engineers, product managers, and designers to build user-facing features and platform capabilities that power enterprise-scale applications.

Your Impact

• Design and develop end-to-end features across frontend and backend systems
• Build modern, responsive web applications using React and TypeScript
• Develop scalable backend services and APIs using Java or Kotlin (Spring Boot)
• Contribute to API design, data models, and frontend-backend interactions
• Ensure performance, usability, and accessibility of applications
• Write clean, maintainable, and well-tested code following engineering best practices
• Collaborate with product and design to deliver intuitive user experiences
• Participate in technical design discussions and code reviews
• Troubleshoot and resolve issues across the stack, including production support
• Contribute to improvements in CI/CD pipelines, observability, and developer workflows

Your Skills

• Experience with Java or Kotlin and backend development (Spring Boot preferred)
• Experience building modern frontend applications (React + TypeScript)
• Experience developing REST APIs and microservices
• Good understanding of software design principles and clean code practices
• Familiarity with distributed systems and cloud-native development
• Experience with testing, CI/CD pipelines, and Agile development practices
• Ability to work in a collaborative, cross-functional team environment

Nice to Have

• Experience with event-driven architectures (e.g., Kafka)
• Familiarity with design systems or reusable component libraries
• Experience integrating with enterprise or SaaS platforms
• Exposure to Kubernetes, Docker, or Infrastructure as Code (Terraform)
• Familiarity with data platforms or analytics systems