76 to 100 of 4,363 SaaS Jobs in England

portfolio governance experience. Excellent stakeholder management and executive communication skills. Familiar with Cloud-based technologies specifically AWS. Deep and up-to-date expertise in SaaS, infrastructure as a service (IaaS), platform as a service (PaaS), SOA, APIs, DevOps and micro services. Familiar with information management practices, system development life cycle ...

Architectures. HTML, CSS, Javascript frameworks such as React, or Mobile technologies such as SwiftUI, Kotlin, Flutter or React‐native CMS, DXPs and common MarTech SaaS products integration Atlassian, Azure DevOps, GitLab or similar workflow tools Understanding of Automation and Quality assurance practices QUALITIES AND CHARACTERISTICS Must be from an engineering ...

Qualifications* Experience with enterprise risk, financial planning or analytics & reporting solutions and their related technology platforms* Hands-on experience within the Workiva platform, other SaaS and cloud technologies, or data architectures preferred* Consultant level at a services company or public accounting preferred* Self-motivated with strong propensity for action, results ...

value drivers. Strong analytical and problem-solving capabilities. Experience using product management tools such as Jira, Azure DevOps, Confluence, Productboard, or similar. Experience with SaaS, cloud-based platforms, AI-enabled products, or enterprise technology solutions. Understanding of data analytics and experimentation techniques. Familiarity with ITIL, DevOps, and Service Management practices. ...

deduplication, and slowly changing dimensions. Production experience with Looker and LookML, including building and maintaining data models, Explores, and dashboards. Experience working with B2B SaaS data, ideally including CRM data such as Salesforce and/or subscription billing data such as Stripe or similar platforms. Experience working with revenue metrics ...

regulated, confidential, proprietary, and sensitive information. Partner with Privacy, Legal, Compliance, Infrastructure, Enterprise Architecture, and business teams to maintain data protection requirements across cloud, SaaS, endpoint, collaboration, and on-premises environments. Guide Data Loss Prevention control design, implementation, monitoring, tuning, exception handling, alert review, and risk-based escalation. Support insider ...

operations, commercial negotiations, and renewal quoting to the appropriate teams. Whatyou’llbring Eight or more years of customer‐facing technical experience in enterprise IT, SaaS, data protection, backup and recovery, cloud, infrastructure, technical consulting, pre‐sales engineering, technical account management, solutions architecture, or related fields. Three or more years ...

## AI Expertise: Practical understanding of AI applications, including utilising LLM-powered features, prompt engineering , and automated workflows.* ## Domain Knowledge: Strong understanding of SaaS ecosystems, CX or ES domains, contact center tech (telephony, CRM), or IT support ticketing workflows.* ## Travel Commitment: Ability and willingness to travel ...

customers. Five or more years of overall experience in Customer Success, account management, consulting, implementation, or a related customer-facing role. Experience working in SaaS, fintech, enterprise technology, or another complex B2B technology environment . A proven record of retaining and growing enterprise customers , including managing renewals, adoption, risk ...

utilising webhooks. AI Expertise: Practical understanding of AI applications, including utilising LLM‐powered features, prompt engineering , and automated workflows. Domain Knowledge: Strong understanding of SaaS ecosystems, CX or ES domains, contact center tech (telephony, CRM), or IT support ticketing workflows. Travel Commitment: Ability and willingness to travel ...

monitoring, and compliance with client expectations around AI-generated contentWhat We're Looking For5+ years of product management experience, preferably in FinTech or B2B SaaS, with at least 2 years focused on ML or GenAI productsWorking knowledge of RAG architectures, embeddings, prompt engineering, and LLM evaluation methods (not just ...

PromQL**.* Exceptional English communication and presentation skills, with the ability to build credibility with both technical teams and executives.**Preferred Advantages*** B2B SaaS experience.* BSc in Computer Science or Engineering.* Comfortable coding in any high-level programming language (Java, Go, Python).**Cultural Fit**We’re seeking candidates ...

Familiarity with Agile methodologies & ceremonies. Excellent communication and collaboration skills. A keen interest in product development and continuous improvement. Experience working ideally with SaaS, platforms, APIs, integrations or other B2B technology products. Experience using tools such as Confluence and Azure DevOps or similar Why Join Us Collaborative Environment: Be part ...

hosted in the Cloud. There is little internal development however this may evolve toa more balanced model. We have a mix of hosted and SAAS products which are either standalone or integrated; there is a need to integrate more of our environment Purpose The Azure Data Engineer will work alongside ...

team to resolve requirements-related issues. Key Skills & Experience Core Business Analysis: Proven experience delivering within complex technical projects, digital platforms, or multi-tenant SaaS environments. Ability to structure analysis using SWOT, MOST, or similar frameworks. Requirements Engineering: Strong knowledge of requirements elicitation, traceability, and change control tooling (e.g., Jira ...

team to resolve requirements‐related issues. Key Skills & Experience Core Business Analysis: Proven experience delivering within complex technical projects, digital platforms, or multi-tenant SaaS environments. Ability to structure analysis using SWOT, MOST, or similar frameworks. Requirements Engineering: Strong knowledge of requirements elicitation, traceability, and change control tooling (e.g., Jira ...

functional business leaders. Preferred Qualifications and Skills: Master's degree in Data Science, Analytics, Statistics, Business Analytics, Computer Science, or related field. Experience in SaaS, technology, subscription, fintech, or recurring revenue businesses. Experience building Customer 360, Customer Intelligence, or Customer Health platforms. Experience with Generative AI, Agentic AI, Machine Learning ...

working in a fast‐paced, cross‐functional environment with exposure to commercial decision‐making. Other Requirements Exposure to pricing models, B2B enterprise sales, or SaaS/commercial optimization domains. Familiarity with CRM (e.g., Salesforce) or Q2C systems. Interest in finance, negotiation science, or behavioural economics. The estimated annual pay range ...

marketing and funnel data into decisions that move pipeline and revenue. Proven analytics experience supporting marketing, growth, demand gen or RevOps, ideally in B2B SaaS or fintech. Expert SQL for complex analysis, optimisation and reusable datasets.dbt & a cloud data warehouse (BigQuery, Snowflake or similar) — commercial experience building production models, tests ...

/CD, Docker, Kubernetes)Experience in international or bilingual work environmentsKnowledge of microservices architecture or scalable system designDomain experience (e.g., fintech, e-commerce, SaaS) depending on client industryHiring ConsiderationsBalance between technical capability and communication ability is keyCandidates with experience in bridging Japan HQ and overseas teams are highly valuableFlexibility ...

quality. As a trusted advisor to senior leadership, the role influences long‐term technology strategy, leads complex transformation initiatives (e.g., Micro Service Architecture and SaaS transformation, cloud adoption, AI integration, technical stack modernisation), and governs architectural consistency across the enterprise and partner ecosystems. The position also plays a key role … internal architectural frameworks, standards, and talent strategies Foster a strong engineering culture focused on excellence, collaboration, and continuous improvement Product & Platform Initiatives Microservice/SaaS Transformation: Lead the transition from monolith and on‐premise solutions to scalable, resilient SaaS platforms, defining tenancy, deployment models, and operational patterns. Cloud Modernisation ...

product management activities. Experience working across a portfolio of related products with shared capabilities and dependencies. Experience with client-facing software products or SaaS solutions. Experience with UX, service design or user-centred design approaches. Experience working with third-party technology providers or development partners. Experience working within a legal ...

Senior Analyst - BCG Vantage, B2B SaaS (Topic Activation Track) Full-time London, GB IT/Tech Consulting Locations : San Francisco | New York | Chicago | Boston | Madrid | London Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. …/or analytical approaches in your area of expertise, such as Pricing, GTM, M&A and/or Operational Excellence in Enterprise Software/SaaS sector Communicating with case teams and clients team members, in a credible and confident way Working collaboratively and effectively in a group dynamic often virtual ...

expertise and proven experience in delivery planning and line management. The role is responsible for designing, developing and maintaining enterprise Software as a Service (SaaS) and white label technology solutions across the full stack. It combines hands-on engineering with planning and coordinating delivery, managing and developing engineers, and working ...

products. You'll have the opportunity to leverage tools such as GitHub Copilot while contributing to the development of intelligent capabilities within our SaaS platform. Beyond delivering great software, you’ll help mentor others, contribute to technical decision‐making, and influence how we build, deploy, and operate software at scale. ...