Location: London/Bristol (Hybrid, 3 days office working) We are seeking a Principal Revenue Operations Business Analyst to own and manage the company's commercial control environment, ensuring that all contracts, pricing, and deals are created, reviewed, approved, and compliant before any commitment is made. Post deal analysis will ensure actual results are tracked against the deal models, and deal models are continuous updated for accuracy and changes in circumstances. In addition, the role will be responsible for ensuring effective management of deal pipeline operations ensuring accuracy of data, providing insights and ensuring accurate forecasting and enhancing GTM activities e.g. pricing adjustments or win/loss analysis to enhance effectiveness of GTM. The role will look to create a fully digital operation, with exceptions being handled as exceptions. This role sits within the Finance function and acts as the critical gatekeeper between commercial activity and financial integrity. You will work closely with Sales, Commercial Review, Legal, Finance, and senior leadership to protect the business from contractual, pricing, and revenue recognition risk. Job Responsibilities You will be accountable for owning the end-to-end contract review and approval process, reviewing all customer pricing proposals, acting as gatekeeper for deal approvals, conducting customer audits, and creating a digital operating model using agentic first capabilities to ensure high quality outputs and efficient operation. Sales Operations & Pipeline Management Ensure accurate and timely availability of pipeline data and insights Ensure appropriate insights are created to create high quality analysis of short-, mid- and long-term opportunities Ensure high quality forecasting outputs Contract Review & Approval Own and manage the end-to-end contract review process; no contract to be signed without completed review and approval. Maintain a contract register and approval workflow with full audit trail and version control. Assess all customer contracts for commercial risk, policy compliance, and alignment with agreed terms. Liaise with Legal on non-standard or high-risk contractual clauses. Define and enforce commercial thresholds for CFO level sign-off. Pricing Review & Control Review all new pricelist assumptions and calculations for CFO review and approval. Review and approve all customer pricing proposals against approved frameworks, margin thresholds, and discount authority matrices. Challenge pricing exceptions and accelerate where required. Maintain and update the company's pricing policy and discount approval framework. Monitor and report on pricing compliance, margin dilution, and discount trends. Deal Review & Commercial Governance Ensure all deals are structured in accordance with revenue recognition principles (IFRS 15) before commitments are made. Creates deal models and analysis and review deal models for standard and bespoke contractual commitments, and partner with the Finance and business teams to develop accuracy and transparency of deal models, with regular post deal analysis and back-testing. Interface with sales team to ensure better win rates and commercial maximisation of opportunities Review deal structures for unusual payment terms or anything affecting revenue timing or recognition. Partner with Sales to ensure pipeline reporting accurately reflects contractual status and booking criteria. Reporting & Process Improvement Produce regular management reporting on contract status, deal approvals, pricing compliance, and audit findings for the CFO. Continuously improve frameworks, templates, and tools used across the control function. Identify systemic risks or process gaps and propose solutions to strengthen the control environment. Commercial & Contractual Acumen: Deep understanding of contract structures, commercial terms, and risk identification within complex customer agreements. Pricing & Margin Control: Ability to assess pricing proposals against approved frameworks, identify exceptions, and enforce discount authority policies. Deal model creation and post deal analysis will be a key part of the role. Analytical Rigour: High level of accuracy and attention to detail when reviewing deals, contracts, pipeline analysis, and audit findings, drawing upon a wide range of both financial and non financial data sources. Revenue Recognition: Strong working knowledge of IFRS 15 and its application to deal structuring and booking criteria. Stakeholder Influence: Confident in constructively challenging senior commercial stakeholders and escalating risk appropriately. Communication & Reporting: Able to produce clear, concise reporting for CFO and Executive team. Leadership & Team Development: Experience managing and developing small teams, allocating workload, and maintaining performance standards. Process & Controls Mindset: Ability to design, implement, improve and digitise approval workflows, audit frameworks, governance processes, and contractual datasets. Behaviours Operates with a high degree of integrity and commercial awareness. Constructively challenges without being obstructive. Balances speed of commercial execution with rigour and control. Builds trust across Finance, Sales, and Legal through transparency and consistency. Leads by example in setting standards of accuracy and accountability. Desirable Skills Experience with CRM and contract lifecycle management (CLM) systems. Experience with sales force and associated tooling not least evidence of agentic operations Exposure to customer audit processes in a B2B environment. Professional qualification in finance, accounting, or law (e.g. ACA, ACCA, CIMA, or equivalent). Background in a fast-growth or commercially dynamic business environment. Familiarity with Salesforce or similar sales platforms. Qualifications Professional qualification in finance, accounting, or law (e.g. ACA, ACCA, CIMA, or equivalent). Degree-level qualification in Finance, Accounting, Business, or Law (or equivalent experience). Experience Experience: 5+ years in a finance, commercial, or sales operations control role, ideally within a B2B environment; proven track record reviewing and approving complex customer contracts and deals. Financial Controls: Demonstrated experience owning approval workflows and governance frameworks in a commercial setting. Revenue Recognition: Practical knowledge of ASC 606 / IFRS 15 and its application to deal review and booking criteria. Team Management: Experience managing and developing a small team with clear accountability and performance standards. Stakeholder Management: Proven ability to influence and challenge senior commercial stakeholders constructively. Equality Statement SmartStream is an equal opportunities employer. We are committed to promoting equality of opportunity and following practices which are free from unfair and unlawful discrimination.
06/08/2026
Full time
Location: London/Bristol (Hybrid, 3 days office working) We are seeking a Principal Revenue Operations Business Analyst to own and manage the company's commercial control environment, ensuring that all contracts, pricing, and deals are created, reviewed, approved, and compliant before any commitment is made. Post deal analysis will ensure actual results are tracked against the deal models, and deal models are continuous updated for accuracy and changes in circumstances. In addition, the role will be responsible for ensuring effective management of deal pipeline operations ensuring accuracy of data, providing insights and ensuring accurate forecasting and enhancing GTM activities e.g. pricing adjustments or win/loss analysis to enhance effectiveness of GTM. The role will look to create a fully digital operation, with exceptions being handled as exceptions. This role sits within the Finance function and acts as the critical gatekeeper between commercial activity and financial integrity. You will work closely with Sales, Commercial Review, Legal, Finance, and senior leadership to protect the business from contractual, pricing, and revenue recognition risk. Job Responsibilities You will be accountable for owning the end-to-end contract review and approval process, reviewing all customer pricing proposals, acting as gatekeeper for deal approvals, conducting customer audits, and creating a digital operating model using agentic first capabilities to ensure high quality outputs and efficient operation. Sales Operations & Pipeline Management Ensure accurate and timely availability of pipeline data and insights Ensure appropriate insights are created to create high quality analysis of short-, mid- and long-term opportunities Ensure high quality forecasting outputs Contract Review & Approval Own and manage the end-to-end contract review process; no contract to be signed without completed review and approval. Maintain a contract register and approval workflow with full audit trail and version control. Assess all customer contracts for commercial risk, policy compliance, and alignment with agreed terms. Liaise with Legal on non-standard or high-risk contractual clauses. Define and enforce commercial thresholds for CFO level sign-off. Pricing Review & Control Review all new pricelist assumptions and calculations for CFO review and approval. Review and approve all customer pricing proposals against approved frameworks, margin thresholds, and discount authority matrices. Challenge pricing exceptions and accelerate where required. Maintain and update the company's pricing policy and discount approval framework. Monitor and report on pricing compliance, margin dilution, and discount trends. Deal Review & Commercial Governance Ensure all deals are structured in accordance with revenue recognition principles (IFRS 15) before commitments are made. Creates deal models and analysis and review deal models for standard and bespoke contractual commitments, and partner with the Finance and business teams to develop accuracy and transparency of deal models, with regular post deal analysis and back-testing. Interface with sales team to ensure better win rates and commercial maximisation of opportunities Review deal structures for unusual payment terms or anything affecting revenue timing or recognition. Partner with Sales to ensure pipeline reporting accurately reflects contractual status and booking criteria. Reporting & Process Improvement Produce regular management reporting on contract status, deal approvals, pricing compliance, and audit findings for the CFO. Continuously improve frameworks, templates, and tools used across the control function. Identify systemic risks or process gaps and propose solutions to strengthen the control environment. Commercial & Contractual Acumen: Deep understanding of contract structures, commercial terms, and risk identification within complex customer agreements. Pricing & Margin Control: Ability to assess pricing proposals against approved frameworks, identify exceptions, and enforce discount authority policies. Deal model creation and post deal analysis will be a key part of the role. Analytical Rigour: High level of accuracy and attention to detail when reviewing deals, contracts, pipeline analysis, and audit findings, drawing upon a wide range of both financial and non financial data sources. Revenue Recognition: Strong working knowledge of IFRS 15 and its application to deal structuring and booking criteria. Stakeholder Influence: Confident in constructively challenging senior commercial stakeholders and escalating risk appropriately. Communication & Reporting: Able to produce clear, concise reporting for CFO and Executive team. Leadership & Team Development: Experience managing and developing small teams, allocating workload, and maintaining performance standards. Process & Controls Mindset: Ability to design, implement, improve and digitise approval workflows, audit frameworks, governance processes, and contractual datasets. Behaviours Operates with a high degree of integrity and commercial awareness. Constructively challenges without being obstructive. Balances speed of commercial execution with rigour and control. Builds trust across Finance, Sales, and Legal through transparency and consistency. Leads by example in setting standards of accuracy and accountability. Desirable Skills Experience with CRM and contract lifecycle management (CLM) systems. Experience with sales force and associated tooling not least evidence of agentic operations Exposure to customer audit processes in a B2B environment. Professional qualification in finance, accounting, or law (e.g. ACA, ACCA, CIMA, or equivalent). Background in a fast-growth or commercially dynamic business environment. Familiarity with Salesforce or similar sales platforms. Qualifications Professional qualification in finance, accounting, or law (e.g. ACA, ACCA, CIMA, or equivalent). Degree-level qualification in Finance, Accounting, Business, or Law (or equivalent experience). Experience Experience: 5+ years in a finance, commercial, or sales operations control role, ideally within a B2B environment; proven track record reviewing and approving complex customer contracts and deals. Financial Controls: Demonstrated experience owning approval workflows and governance frameworks in a commercial setting. Revenue Recognition: Practical knowledge of ASC 606 / IFRS 15 and its application to deal review and booking criteria. Team Management: Experience managing and developing a small team with clear accountability and performance standards. Stakeholder Management: Proven ability to influence and challenge senior commercial stakeholders constructively. Equality Statement SmartStream is an equal opportunities employer. We are committed to promoting equality of opportunity and following practices which are free from unfair and unlawful discrimination.
Location: Bristol/London (Hybrid, 3 days office working) Smartstream is on its most transformative journey yet, embedding artificial intelligence natively across its products to redefine financial operations for the world's top banks and asset managers. We are constantly innovating to cement our industry-leading position for the next decade. Working with our product development centres in Mumbai, Bangalore, and Bristol, we are building AI-powered modern software using constantly evolving agile practices, with AI embedded natively throughout our development workflows. Independent autonomous teams build, maintain, and support services, developing deep expertise in both technology and business domains. The successful candidate will be an AI-native product thinker who uses AI tools daily to amplify their impact, influence product direction, and grow personally in a friendly and welcoming environment. We welcome engineering and business professionals from a variety of backgrounds to contribute to our diverse teams in our Bristol development centre. Job Responsibilities Define, prioritise, and manage the product backlog to ensure delivery of high value features aligned with business objectives and customer needs. Work with stakeholders, customers, and internal teams to gather requirements, augmenting discovery with AI-assisted analysis (e.g. summarising workshops, identifying gaps, generating follow-up questions). Translate requirements into clear functional specifications, user stories, acceptance criteria, workflow diagrams, and use cases, using AI tools to improve structure, completeness, and speed of delivery. Collaborate closely with engineering, QA, UX, and architecture teams throughout the product lifecycle. Develop a deep understanding of the product, domain, customer workflows, and business rules to inform product decisions. Lead Agile ceremonies such as backlog refinement, sprint planning, sprint reviews, and product demos. Use AI to support backlog refinement by suggesting story breakdowns, identifying edge cases, and highlighting dependencies Validate product functionality, support testing cycles, and ensure delivered features meet acceptance criteria and quality standards. Review and understand incoming support tickets to categorise issues, severity, and business impact. Prioritise tickets and assign them effectively to the appropriate engineering or product teams. Provide clear timelines, status updates, and progress communication to the support organisation. Identify recurring issues and convert them into backlog items, improvements, or product enhancements, leveraging AI to detect trends and prioritisation opportunities. Excellent user story writing skills, with clear acceptance criteria and process documentation, leveraging AI tools to improve clarity, coverage, and consistency. Strong understanding of Agile principles, especially Scrum or Kanban. Ability to collaborate effectively with engineers and product team. Strong analytical mindset and ability to make data driven decisions. Excellent communication, coordination, and stakeholder management skills. Ability to translate business language into technical details. Proficiency with AI tools (such as Claude or Kiro, Copilot Studio) to accelerate user story writing, requirements analysis, and product documentation. Ability to critically evaluate AI-generated outputs and apply sound product judgement to shape AI-assisted features and workflows. Desirable Skills Experience working independently with complex, configurable enterprise systems where requirements are non-linear and highly domain specific. Hands on experience using AI assisted tools in a Product Owner or Business Analyst workflow. Experience with generative AI tools or AI assisted product features. Understanding of how AI can be applied in enterprise products. Basic understanding of APIs, data models, SQL, or reading technical logs is an advantage. Hands on experience with tools like Jira and Confluence. Experience using intelligence tools for engineering analytics and backlog management is preferred. Qualifications Bachelor's degree in Computer Science, Information Technology, Business Information Systems, Engineering, Mathematics, or a related discipline. Experience Experience as a Product Owner, Business Analyst, or similar role in software development. Experience using AI tools to enhance requirements gathering, documentation, or product analysis activities. Demonstrated ability to integrate AI into day to day product ownership tasks while maintaining quality and control. Experience working in Agile teams with iterative delivery cycles. Exposure to enterprise software, SaaS platforms, or complex B2B products is highly beneficial. Experience in software vendor environments. Equality Statement Smartstream is an equal opportunities employer. We are committed to promoting equality of opportunity and following practices which are free from unfair and unlawful discrimination.
05/08/2026
Full time
Location: Bristol/London (Hybrid, 3 days office working) Smartstream is on its most transformative journey yet, embedding artificial intelligence natively across its products to redefine financial operations for the world's top banks and asset managers. We are constantly innovating to cement our industry-leading position for the next decade. Working with our product development centres in Mumbai, Bangalore, and Bristol, we are building AI-powered modern software using constantly evolving agile practices, with AI embedded natively throughout our development workflows. Independent autonomous teams build, maintain, and support services, developing deep expertise in both technology and business domains. The successful candidate will be an AI-native product thinker who uses AI tools daily to amplify their impact, influence product direction, and grow personally in a friendly and welcoming environment. We welcome engineering and business professionals from a variety of backgrounds to contribute to our diverse teams in our Bristol development centre. Job Responsibilities Define, prioritise, and manage the product backlog to ensure delivery of high value features aligned with business objectives and customer needs. Work with stakeholders, customers, and internal teams to gather requirements, augmenting discovery with AI-assisted analysis (e.g. summarising workshops, identifying gaps, generating follow-up questions). Translate requirements into clear functional specifications, user stories, acceptance criteria, workflow diagrams, and use cases, using AI tools to improve structure, completeness, and speed of delivery. Collaborate closely with engineering, QA, UX, and architecture teams throughout the product lifecycle. Develop a deep understanding of the product, domain, customer workflows, and business rules to inform product decisions. Lead Agile ceremonies such as backlog refinement, sprint planning, sprint reviews, and product demos. Use AI to support backlog refinement by suggesting story breakdowns, identifying edge cases, and highlighting dependencies Validate product functionality, support testing cycles, and ensure delivered features meet acceptance criteria and quality standards. Review and understand incoming support tickets to categorise issues, severity, and business impact. Prioritise tickets and assign them effectively to the appropriate engineering or product teams. Provide clear timelines, status updates, and progress communication to the support organisation. Identify recurring issues and convert them into backlog items, improvements, or product enhancements, leveraging AI to detect trends and prioritisation opportunities. Excellent user story writing skills, with clear acceptance criteria and process documentation, leveraging AI tools to improve clarity, coverage, and consistency. Strong understanding of Agile principles, especially Scrum or Kanban. Ability to collaborate effectively with engineers and product team. Strong analytical mindset and ability to make data driven decisions. Excellent communication, coordination, and stakeholder management skills. Ability to translate business language into technical details. Proficiency with AI tools (such as Claude or Kiro, Copilot Studio) to accelerate user story writing, requirements analysis, and product documentation. Ability to critically evaluate AI-generated outputs and apply sound product judgement to shape AI-assisted features and workflows. Desirable Skills Experience working independently with complex, configurable enterprise systems where requirements are non-linear and highly domain specific. Hands on experience using AI assisted tools in a Product Owner or Business Analyst workflow. Experience with generative AI tools or AI assisted product features. Understanding of how AI can be applied in enterprise products. Basic understanding of APIs, data models, SQL, or reading technical logs is an advantage. Hands on experience with tools like Jira and Confluence. Experience using intelligence tools for engineering analytics and backlog management is preferred. Qualifications Bachelor's degree in Computer Science, Information Technology, Business Information Systems, Engineering, Mathematics, or a related discipline. Experience Experience as a Product Owner, Business Analyst, or similar role in software development. Experience using AI tools to enhance requirements gathering, documentation, or product analysis activities. Demonstrated ability to integrate AI into day to day product ownership tasks while maintaining quality and control. Experience working in Agile teams with iterative delivery cycles. Exposure to enterprise software, SaaS platforms, or complex B2B products is highly beneficial. Experience in software vendor environments. Equality Statement Smartstream is an equal opportunities employer. We are committed to promoting equality of opportunity and following practices which are free from unfair and unlawful discrimination.
Location: Bristol/London - Hybrid, 3 days in the office The deep technical engine behind our internal AI deployment team. Where the AI Deployment Strategist scopes and builds agents, you own the infrastructure underneath - data pipelines, system integrations, and everything that ensures deployed AI solutions work reliably at scale. You will take prototypes to production, ensure all business systems communicate correctly, and build the technical backbone that our AI tooling depends on. Job Responsibilities Own the data infrastructure underpinning AI deployments - pipelines, storage, and data serving Integrate AI solutions into the existing business ecosystem: CRMs, ERPs, SaaS tools, and internal systems Build and maintain APIs, webhooks, and middleware that allow AI agents to interact with business systems Take Strategist-built prototypes to production-grade - hardening, scaling, and ensuring reliability Set up monitoring, logging, and alerting across deployed pipelines and agent infrastructure Manage data models, schemas, and storage supporting current and future AI deployments Troubleshoot integration failures, data inconsistencies, and production issues Python & SQL (production-grade pipeline development) REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, or Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills Vector databases and embedding pipelines Real-time streaming (Kafka, Flink) RPA tooling (UiPath, Power Automate) dbt for data transformation Claude Code, Claude Cowork, or Claude Skills Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate). Qualifications Bachelor's degree in Computer Science, Engineering, or equivalent practical experience Experience 3-5 years in software or data engineering with strong exposure to system integrations, data pipelines, and production infrastructure. Strong Python and SQL skills; experienced building robust, production-grade data pipelines from scratch. Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). Experience connecting disparate business systems - SaaS platforms, internal databases, and third-party APIs - and making them work reliably. Strong debugging instincts and a high bar for reliability and data integrity. Comfortable with Microsoft 365 and Microsoft Copilot. Familiarity with AI productivity tools including Claude Code, Claude Cowork, and Claude Skills is a plus. Equality Statement Smartstream is an equal opportunities employer. We are committed to promoting equality of opportunity and following practices which are free from unfair and unlawful discrimination.
05/08/2026
Full time
Location: Bristol/London - Hybrid, 3 days in the office The deep technical engine behind our internal AI deployment team. Where the AI Deployment Strategist scopes and builds agents, you own the infrastructure underneath - data pipelines, system integrations, and everything that ensures deployed AI solutions work reliably at scale. You will take prototypes to production, ensure all business systems communicate correctly, and build the technical backbone that our AI tooling depends on. Job Responsibilities Own the data infrastructure underpinning AI deployments - pipelines, storage, and data serving Integrate AI solutions into the existing business ecosystem: CRMs, ERPs, SaaS tools, and internal systems Build and maintain APIs, webhooks, and middleware that allow AI agents to interact with business systems Take Strategist-built prototypes to production-grade - hardening, scaling, and ensuring reliability Set up monitoring, logging, and alerting across deployed pipelines and agent infrastructure Manage data models, schemas, and storage supporting current and future AI deployments Troubleshoot integration failures, data inconsistencies, and production issues Python & SQL (production-grade pipeline development) REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, or Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills Vector databases and embedding pipelines Real-time streaming (Kafka, Flink) RPA tooling (UiPath, Power Automate) dbt for data transformation Claude Code, Claude Cowork, or Claude Skills Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate). Qualifications Bachelor's degree in Computer Science, Engineering, or equivalent practical experience Experience 3-5 years in software or data engineering with strong exposure to system integrations, data pipelines, and production infrastructure. Strong Python and SQL skills; experienced building robust, production-grade data pipelines from scratch. Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). Experience connecting disparate business systems - SaaS platforms, internal databases, and third-party APIs - and making them work reliably. Strong debugging instincts and a high bar for reliability and data integrity. Comfortable with Microsoft 365 and Microsoft Copilot. Familiarity with AI productivity tools including Claude Code, Claude Cowork, and Claude Skills is a plus. Equality Statement Smartstream is an equal opportunities employer. We are committed to promoting equality of opportunity and following practices which are free from unfair and unlawful discrimination.
Smartstream in Bristol/London is seeking an AI Deployment Engineer who will own the data infrastructure for AI deployments, including pipelines, storage, and data serving. You will integrate AI solutions with CRM/ERP systems and build APIs and middleware. The role requires strong Python and SQL, experience with orchestration tools and cloud platforms, and a focus on reliability and scale. This hybrid position offers in-office collaboration three days a week.
05/08/2026
Full time
Smartstream in Bristol/London is seeking an AI Deployment Engineer who will own the data infrastructure for AI deployments, including pipelines, storage, and data serving. You will integrate AI solutions with CRM/ERP systems and build APIs and middleware. The role requires strong Python and SQL, experience with orchestration tools and cloud platforms, and a focus on reliability and scale. This hybrid position offers in-office collaboration three days a week.