1 to 25 of 279 Permanent Acceptance Criteria Jobs in the UK

concept) and validate solutions through iterative experimentation. Requirements & Design Convert business and technical needs into well-formed epics, features, and user stories with clear acceptance criteria. Apply UX principles to define intuitive workflows and interfaces; produce wireframes and low-fi mockups to align teams quickly. Collaborate with architects … reviews, and retrospectives ; ensure commitments tie to outcomes. Quality, Testing & Release Readiness Champion quality from the start, collaborating with QA/engineers to define Acceptance Criteria and Acceptance Tests (BDD). Support automated testing strategies (unit, integration, contract, end-to-end), test data readiness, and release validation. ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...