1 to 25 of 31 SaaS Jobs in Cambridgeshire

following areas, it’s advantageous but not critical:Power BI, Tableau or similar analytics and visualisation platforms.Experience analysing enterprise applications, SaaS platforms or cloud-based solutions.Microsoft Azure, Microsoft Fabric, Dataverse or equivalent technology platforms.Data governance, metadata, lineage or master-data concepts.API specifications and integration design patterns.BPMN, UML or other modelling ...

depending on educational backgroundExperience with AI infrastructure, usage-based monetization models, model serving, inference costs, GPU economics, cloud economics, or compute cost optimizationExperience in SaaS economics, cloud cost analysis, or AI/ML-driven productsBackground in subscription analytics, pricing, packaging, or monetization strategyExperience with AI agents and API-driven business ...

launch and continuous improvement. Collaborate across engineering, design, commercial, and leadership teams to deliver business and customer value. Essential skills criteria Experience managing software, SaaS, platform, or technology products. Proven track record of delivering successful products and features. Experience working within Agile development environments. Strong stakeholder management and communication skills. ...

around the needs of the people who use it.To accelerate innovation by rapidly designing, building and continuously improving digital products that enhance our enterprise SaaS platforms, enabling the People Experience & Products function to deliver differentiated experiences through technology, AI and intelligent automation in full partnership with our Enterprise IT community. ...

software engineers. The domains and areas include: Software builds and test solutions using CI/CD, binary, secret, and test management. Developing services using SaaS, cloud-based environments, and large-scale clustered compute. Exploiting virtualisation and cloud technologies using Docker, Kubernetes, and Terraform. Engineering experience – improving the daily life ...

software engineers. The domains and areas include:Software builds and test solutions using CI/CD, binary, secret, and test management.Developing services using SaaS, cloud-based environments, and large-scale clustered compute.Exploiting virtualisation and cloud technologies using Docker, Kubernetes, and Terraform.Engineering experience – improving the daily life and efficiency of engineers ...

would be ideal (AWS, GCP, Azure, OCI, etc) Ideally you will have experience of developing a product from scratch and have worked on scalable SaaS or IaaS platforms Working as part of small teams is essential Good communication skills and the ability to work independently is also essential Strong relevant ...

workflow capabilities!Understanding of SRE concepts such as SLAs, SLOs, SLIs, error budgets, service health, reliability and observability.Experience in DevOps, CI/CD, cloud, SaaS, PaaS, platform engineering or distributed application environments.Experience applying automation, AIOps, service intelligence or AI-enabled workflows to improve service management outcomes.In Return:Joining Arm means ...

visibility across the full go-to-market team. What makes you a great fit Experience in marketing analytics or marketing operations, ideally within B2B SaaS or technology, with a strong grasp of pipeline, campaign and lead performance metrics. Strong analytical skills, with the ability to work through complex data ...

Bachelor’s degree in a relevant field, or equivalent experience.Proven experience in product marketing, platform marketing, or technology go-to-market experience at a SaaS, AI, or tech company. Direct services marketing experience is not required.Demonstrated experience launching platforms, products, or tech-enabled propositions, with ownership across positioning, messaging, launch ...

wide array of technologies, and picking up those which you are not yet familiar with. These may be cloud providers, configuration management languages, or SaaS services designed to monitor and support our platform. Responsibilities Design complex multi-platform systems & processes Develop and deliver to your designs, balancing quality and efficiency ...

unique UX challenges of AI-driven features. AI fluency is non-negotiable for this role. Proven ability to operate in enterprise B2B SaaS environments, including navigating complex stakeholder landscapes, long sales cycles, and platform-level product decisions. Strong technical acumen: comfortable partnering directly with engineers and data scientists, reviewing technical ...

Terraform and Cloudbees/Jenkins to improve the engineering experience for Arm’s software and hardware teams. The role emphasises hybrid working, development across SaaS and cloud environments, and incident response on a paid on-call rota. We welcome engineers with 4–8 years in DevOps and a strong SDLC ...

desire to learn.You’re highly organised and able to prioritise effectively when managing a large portfolio of customers.Nice to havesExperience working in a B2B SaaS companyBenefits (the stuff you'd expect!)This is a full time opportunity, working Monday to Friday with the option of flexible home working (for most ...

Marketing and go-to-market teams to ensure clear, compelling product positioning**What we’re looking for*** Significant product management experience, ideally within Enterprise SaaS* A track record of applying learnings from different environments to improve product outcomes* Ability to drive alignment at senior levels through influence* Experience leading ...

full lifecycle, from evaluation and procurement through operation, modernisation and decommissioning of both internally built and off the shelf systems, including budget accountability for SaaS platforms and outsourced capacity. Manage the relationship with our outsourced engineering partners, holding them to the same bar for technical quality and delivery as ...

full lifecycle, from evaluation and procurement through operation, modernisation and decommissioning of both internally built and off the shelf systems, including budget accountability for SaaS platforms and outsourced capacity.Manage the relationship with our outsourced engineering partners, holding them to the same bar for technical quality and delivery as our internal ...

Robert Half are partnering with a market-leading SaaS organisation to recruit a Mac Support Engineer on an initial 6-week contract based in Cambridge , supporting the internal IT function of a growing technology business based in London. You will be responsible for providing day-to-day technical support ...

professionals, influence product strategy, and work closely with cross-functional teams. The ideal candidate will have substantial experience in product management, particularly in Enterprise SaaS, and a proven ability to drive alignment across teams. Benefits include comprehensive health coverage and enhanced leave policies. #J-18808-Ljbffr ...

product leadership with a focus on ensuring team performance and product value. The ideal candidate will have significant experience in product management within Enterprise SaaS, lead teams effectively, and collaborate with various stakeholders to enhance product strategy and execution. Benefits include private medical insurance, life insurance, and 23 days ...

design, build, and operate the services and streaming environments that deliver AVEVA's Unified Engineering products to customers as a Software as a Service (SaaS) platform on Amazon Web Services (AWS).You will work across serverless APIs, identity and access flows, Windows-centric infrastructure, and desktop streaming technologies. You will … know everything from day one, but you will be expected to have the curiosity, drive, and resilience to grow quickly.Key responsibilities Build scalable AWS SaaS services: contribute to the design, development, and support of highly available platform components.Develop integrations and serverless capabilities: deliver and maintain APIs (API Gateway/Lambda ...

Full Stack Developer (TypeScript, JavaScript, Node) Location: Hybrid working within the South Salary: Competitive + benefits We're working with a fast-growing UK SaaS technology company that builds data-driven digital products used by commercial teams to better understand and engage with their customers. They are now looking … development experience (ideally 10+ years) 5+ years of JavaScript and TypeScript experience Solid background in system design and scalable architectures Experience building large, production SaaS platforms A clean-code mindset (SOLID principles, design patterns, testable code) Experience working in mature CI/CD and continuous deployment environments A commercial mindset ...

join the AVEVA Unified Supply Chain R&D team, where you will design, build and operate the services that provide a cutting-edge SaaS scheduling solution for the oil and gas industry. You will work as part of a cross-functional product development team, filled with talented engineers, to ensure … industrial intelligence platform, addresses our end-users needs and delights our customers. Key responsibilities Lead the design and development of highly available and scalable SaaS platform services in Azure Contribute to CI/CD pipelines and infrastructure automation using Azure DevOps Engage with technical members in enabling teams responsible ...

intelligence findings for the wider team Essential Requirements 5+ years in data science or advanced analytics - ideally in a hybrid PLG/sales-led SaaS environment Strong Python and SQL; experience with data modelling and pipeline tools (dbt, Airflow, Dagster) Deep expertise in predictive modelling, causal inference, survival analysis … experimentation (A/B, diff-in-diff, instrumental variables) Experience working directly with product telemetry and event-stream data at scale Solid understanding of SaaS lifecycle mechanics (ARR, NRR, LTV, PQLs, activation funnels) Ability to translate statistical findings into product and commercial strategy for non-technical stakeholders Degree in a ...

democratise intelligence findings for the wider teamEssential Requirements5+ years in data science or advanced analytics — ideally in a hybrid PLG/sales-led SaaS environmentStrong Python and SQL; experience with data modelling and pipeline tools (dbt, Airflow, Dagster)Deep expertise in predictive modelling, causal inference, survival analysis, and experimentation (A …/B, diff-in-diff, instrumental variables)Experience working directly with product telemetry and event-stream data at scaleSolid understanding of SaaS lifecycle mechanics (ARR, NRR, LTV, PQLs, activation funnels)Ability to translate statistical findings into product and commercial strategy for non-technical stakeholdersDegree in a quantitative discipline (Statistics, Computer ...