As a Senior AI Deployment Consultant, you'll lead large-scale customer deployments, combining project management with technical configuration of the Fin platform.

Responsibilities

• Own end-to-end deployment programs for large customers, ensuring successful implementation of Fin
• Act as primary point of contact throughout the project
• Hold projects to scope, schedule, and budget, aligning with customer goals and support models
• Lead discovery sessions to understand complex customer requirements and translate them into actionable plans
• Configure the Fin platform, spanning automation, workflows, and analytics
• Partner with Forward Deployed Engineers to solve complex technical hurdles
• Coordinate technical readiness activities, including integrations, data migrations, and security reviews
• Run projects with operational precision, maintaining risk logs and structured reporting
• Partner with Sales, Customer Success, Product, and R&D to shape deployment strategy and feed insights back into the roadmap
• Contribute to the evolution of Deployment Services methodology, templates, and best practices
• Apply AI tooling to delivery work to compress discovery, documentation, and asset creation

Requirements

• 5+ years of experience in customer-facing implementation, deployment, or professional services roles, ideally within SaaS or AI technology companies
• Track record of delivering large, complex projects on time and on budget with low escalation rates
• Hands-on technical capability, fluent in APIs, data flows, and integration patterns
• Exceptional communication and relationship-building skills
• Strong judgment under ambiguity, able to prioritize and decide when requirements aren't fully formed
• Daily use of AI tooling in workflow
• Experience with Intercom Helpdesk, Zendesk, Salesforce, or similar CX platforms is a plus

XML job scraping automation by YubHub

As a Senior AI Deployment Consultant, you'll lead our largest and most complex customer deployments, combining world-class project management with hands-on technical configuration of the Fin platform.

Responsibilities

• Own end-to-end deployment programs for our largest customers, ensuring successful and timely implementation to Fin.
• Hold projects to scope, schedule, and budget that align with each customer's unique goals and support model.
• Lead discovery sessions to understand complex customer requirements and translate them into actionable technical and project plans.
• Own the hands-on configuration of the Fin platform,spanning automation, workflows, and analytics.
• Partner with Forward Deployed Engineers to solve complex technical hurdles.
• Coordinate technical readiness activities, including integrations, data migrations, and security reviews.
• Run projects with operational precision.
• Partner with Sales, Customer Success, Product, and R&D.
• Contribute to the evolution of our Deployment Services methodology, templates, and best practices.
• Apply AI tooling to your own delivery work.

Requirements

• 5+ years of experience in customer-facing implementation, deployment, or professional services roles.
• A track record of delivering large, complex, multi-stakeholder projects on time and on budget.
• Hands-on technical capability.
• Exceptional communication and relationship-building skills.
• Strong judgment under ambiguity.
• Daily use of AI tooling in your own workflow.
• Experience with Intercom Helpdesk, Zendesk, Salesforce, or similar CX platforms is a plus.

XML job scraping automation by YubHub

It's an exciting time at Fin - especially within our Deployment Services team. We're helping some of the world's most innovative companies transform how they support their customers through AI-powered customer service.

As a Senior AI Deployment Consultant, you'll lead our largest and most complex customer deployments, combining world-class project management with hands-on technical configuration of the Fin platform.

Responsibilities

• Own end-to-end deployment programs for our largest customers, ensuring successful and timely implementation to Fin - acting as a primary point of contact throughout.
• Hold projects to scope, schedule, and budget that align with each customer's unique goals and support model and keep GTM partners current on project state.
• Lead discovery sessions to understand complex customer requirements and translate them into actionable technical and project plans.
• Own the hands-on configuration of the Fin platform,spanning automation, workflows, and analytics,while orchestrating technical readiness across data migrations, integrations, and security protocols.
• Partner with Forward Deployed Engineers to solve complex technical hurdles while maintaining autonomy over the vast majority of platform implementation.
• Coordinate technical readiness activities, including integrations, data migrations, and security reviews.
• Run projects with operational precision: maintained risk logs, a structured reporting cadence to both customer and internal leadership, clear escalation paths, and documented decisions. Surface risk early enough that it can be mitigated rather than managed.
• Partner with Sales, Customer Success, Product, and R&D - shaping deployment strategy up front and feeding what you learn in the field back into the roadmap.
• Contribute to the evolution of our Deployment Services methodology, templates, and best practices.
• Apply AI tooling to your own delivery work to compress discovery, documentation, and asset creation - and share what works back to the team.

Requirements

• 5+ years of experience in customer-facing implementation, deployment, or professional services roles, ideally within SaaS or AI technology companies.
• A track record of delivering large, complex, multi-stakeholder projects on time and on budget with low escalation rates - and a clear point of view on the operating discipline that makes that repeatable.
• Hands-on technical capability. You can configure platforms yourself, and you're fluent enough in APIs, data flows, and integration patterns to know when a requirement is a config problem versus an engineering one.
• Exceptional communication and relationship-building skills, capable of influencing both executives and technical stakeholders.
• Strong judgment under ambiguity - you can prioritize, decide, and move when requirements aren't fully formed, and you're resilient in a fast-paced, changing environment.
• Daily use of AI tooling in your own workflow - discovery synthesis, documentation, customer assets - and the ability to show how it's changed your delivery pace.
• Experience with Intercom Helpdesk, Zendesk, Salesforce, or similar CX platforms is a plus.

How Will I Be Measured?

• Automation Rate - Are you driving your customers to achieve high adoption of Fin?
• CX Score , do customers rate the deployment experience highly?
• On-time, on-budget delivery , do your projects land against the timeline and scope you committed to?
• Time-to-value , how quickly do customers get to a working, measurable Fin deployment?
• Contribution to the team , the templates, mentorship, and best practices you leave behind.

XML job scraping automation by YubHub

It's an exciting time at Fin - especially within our Deployment Services team. We're helping some of the world's most innovative companies transform how they support their customers through AI-powered customer service.

As a Senior AI Deployment Consultant, you'll lead our largest and most complex customer deployments, combining world-class project management with hands-on technical configuration of the Fin platform.

Responsibilities

• Own end-to-end deployment programs for our largest customers, ensuring successful and timely implementation to Fin - acting as a primary point of contact throughout.
• Hold projects to scope, schedule, and budget that align with each customer's unique goals and support model and keep GTM partners current on project state.
• Lead discovery sessions to understand complex customer requirements and translate them into actionable technical and project plans.
• Own the hands-on configuration of the Fin platform,spanning automation, workflows, and analytics,while orchestrating technical readiness across data migrations, integrations, and security protocols.
• Partner with Forward Deployed Engineers to solve complex technical hurdles while maintaining autonomy over the vast majority of platform implementation.
• Coordinate technical readiness activities, including integrations, data migrations, and security reviews.
• Run projects with operational precision: maintained risk logs, a structured reporting cadence to both customer and internal leadership, clear escalation paths, and documented decisions. Surface risk early enough that it can be mitigated rather than managed.
• Partner with Sales, Customer Success, Product, and R&D - shaping deployment strategy up front and feeding what you learn in the field back into the roadmap.
• Contribute to the evolution of our Deployment Services methodology, templates, and best practices.
• Apply AI tooling to your own delivery work to compress discovery, documentation, and asset creation - and share what works back to the team.

Requirements

• 5+ years of experience in customer-facing implementation, deployment, or professional services roles, ideally within SaaS or AI technology companies.
• A track record of delivering large, complex, multi-stakeholder projects on time and on budget with low escalation rates - and a clear point of view on the operating discipline that makes that repeatable.
• Hands-on technical capability. You can configure platforms yourself, and you're fluent enough in APIs, data flows, and integration patterns to know when a requirement is a config problem versus an engineering one.
• Exceptional communication and relationship-building skills, capable of influencing both executives and technical stakeholders.
• Strong judgment under ambiguity - you can prioritize, decide, and move when requirements aren't fully formed, and you're resilient in a fast-paced, changing environment.
• Daily use of AI tooling in your own workflow - discovery synthesis, documentation, customer assets - and the ability to show how it's changed your delivery pace.
• Experience with Intercom Helpdesk, Zendesk, Salesforce, or similar CX platforms is a plus.

How Will I Be Measured?

• Automation Rate - Are you driving your customers to achieve high adoption of Fin?
• CX Score , do customers rate the deployment experience highly?
• On-time, on-budget delivery , do your projects land against the timeline and scope you committed to?
• Time-to-value , how quickly do customers get to a working, measurable Fin deployment?
• Contribution to the team , the templates, mentorship, and best practices you leave behind.

XML job scraping automation by YubHub

It's an exciting time at Fin - especially within our Deployment Services team. We're helping some of the world's most innovative companies transform how they support their customers through AI-powered customer service.

As a Senior AI Deployment Consultant, you'll lead our largest and most complex customer deployments, combining world-class project management with hands-on technical configuration of the Fin platform.

Responsibilities

• Own end-to-end deployment programs for our largest customers, ensuring successful and timely implementation to Fin - acting as a primary point of contact throughout.
• Hold projects to scope, schedule, and budget that align with each customer's unique goals and support model and keep GTM partners current on project state.
• Lead discovery sessions to understand complex customer requirements and translate them into actionable technical and project plans.
• Own the hands-on configuration of the Fin platform,spanning automation, workflows, and analytics,while orchestrating technical readiness across data migrations, integrations, and security protocols.
• Partner with Forward Deployed Engineers to solve complex technical hurdles while maintaining autonomy over the vast majority of platform implementation.
• Coordinate technical readiness activities, including integrations, data migrations, and security reviews.
• Run projects with operational precision: maintained risk logs, a structured reporting cadence to both customer and internal leadership, clear escalation paths, and documented decisions. Surface risk early enough that it can be mitigated rather than managed.
• Partner with Sales, Customer Success, Product, and R&D - shaping deployment strategy up front and feeding what you learn in the field back into the roadmap.
• Contribute to the evolution of our Deployment Services methodology, templates, and best practices.
• Apply AI tooling to your own delivery work to compress discovery, documentation, and asset creation - and share what works back to the team.

Requirements

• 5+ years of experience in customer-facing implementation, deployment, or professional services roles, ideally within SaaS or AI technology companies.
• A track record of delivering large, complex, multi-stakeholder projects on time and on budget with low escalation rates - and a clear point of view on the operating discipline that makes that repeatable.
• Hands-on technical capability. You can configure platforms yourself, and you're fluent enough in APIs, data flows, and integration patterns to know when a requirement is a config problem versus an engineering one.
• Exceptional communication and relationship-building skills, capable of influencing both executives and technical stakeholders.
• Strong judgment under ambiguity - you can prioritize, decide, and move when requirements aren't fully formed, and you're resilient in a fast-paced, changing environment.
• Daily use of AI tooling in your own workflow - discovery synthesis, documentation, customer assets - and the ability to show how it's changed your delivery pace.
• Experience with Intercom Helpdesk, Zendesk, Salesforce, or similar CX platforms is a plus.

How Will I Be Measured?

• Automation Rate - Are you driving your customers to achieve high adoption of Fin?
• CX Score , do customers rate the deployment experience highly?
• On-time, on-budget delivery , do your projects land against the timeline and scope you committed to?
• Time-to-value , how quickly do customers get to a working, measurable Fin deployment?
• Contribution to the team , the templates, mentorship, and best practices you leave behind.

XML job scraping automation by YubHub

It's an exciting time at Fin - especially within our Deployment Services team. We're helping some of the world's most innovative companies transform how they support their customers through AI-powered customer service.

As a Senior AI Deployment Consultant, you'll lead our largest and most complex customer deployments, combining world-class project management with hands-on technical configuration of the Fin platform.

Responsibilities

• Own end-to-end deployment programs for our largest customers, ensuring successful and timely implementation to Fin - acting as a primary point of contact throughout.
• Hold projects to scope, schedule, and budget that align with each customer's unique goals and support model and keep GTM partners current on project state.
• Lead discovery sessions to understand complex customer requirements and translate them into actionable technical and project plans.
• Own the hands-on configuration of the Fin platform,spanning automation, workflows, and analytics,while orchestrating technical readiness across data migrations, integrations, and security protocols.
• Partner with Forward Deployed Engineers to solve complex technical hurdles while maintaining autonomy over the vast majority of platform implementation.
• Coordinate technical readiness activities, including integrations, data migrations, and security reviews.
• Run projects with operational precision: maintained risk logs, a structured reporting cadence to both customer and internal leadership, clear escalation paths, and documented decisions. Surface risk early enough that it can be mitigated rather than managed.
• Partner with Sales, Customer Success, Product, and R&D - shaping deployment strategy up front and feeding what you learn in the field back into the roadmap.
• Contribute to the evolution of our Deployment Services methodology, templates, and best practices.
• Apply AI tooling to your own delivery work to compress discovery, documentation, and asset creation - and share what works back to the team.

Requirements

• 5+ years of experience in customer-facing implementation, deployment, or professional services roles, ideally within SaaS or AI technology companies.
• A track record of delivering large, complex, multi-stakeholder projects on time and on budget with low escalation rates - and a clear point of view on the operating discipline that makes that repeatable.
• Hands-on technical capability. You can configure platforms yourself, and you're fluent enough in APIs, data flows, and integration patterns to know when a requirement is a config problem versus an engineering one.
• Exceptional communication and relationship-building skills, capable of influencing both executives and technical stakeholders.
• Strong judgment under ambiguity - you can prioritize, decide, and move when requirements aren't fully formed, and you're resilient in a fast-paced, changing environment.
• Daily use of AI tooling in your own workflow - discovery synthesis, documentation, customer assets - and the ability to show how it's changed your delivery pace.
• Experience with Intercom Helpdesk, Zendesk, Salesforce, or similar CX platforms is a plus.

How Will I Be Measured?

• Automation Rate - Are you driving your customers to achieve high adoption of Fin?
• CX Score , do customers rate the deployment experience highly?
• On-time, on-budget delivery , do your projects land against the timeline and scope you committed to?
• Time-to-value , how quickly do customers get to a working, measurable Fin deployment?
• Contribution to the team , the templates, mentorship, and best practices you leave behind.

Benefits Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

XML job scraping automation by YubHub

It's an exciting time at Fin , especially within our Deployment Services team. We're helping some of the world's most innovative companies transform how they support their customers through AI-powered customer service.

As a Senior AI Deployment Consultant, you'll lead our largest and most complex customer deployments, combining world-class project management with hands-on technical configuration of Fin's platform , including our agent Fin.

Responsibilities

• Lead end-to-end deployment programs for our largest customers, ensuring successful and timely implementation to Fin.
• Define project scope, success criteria, and timelines that align with each customer's unique goals and support model.
• Act as the primary point of contact for customers throughout implementation, managing communication, alignment, and expectations.
• Partner cross-functionally with Sales, Customer Success, Engineering, and Product teams to design tailored deployment strategies and deliver measurable outcomes.
• Facilitate discovery sessions to understand complex customer requirements and translate them into actionable technical and project plans.
• Perform hands-on configuration of Fin features , including automation, workflows, technical procedures and reporting , supported by our Forward Deployed Engineers for advanced integrations.
• Coordinate technical readiness activities, including integrations, data migrations, and security reviews.
• Track key metrics on both the customer and Fin side such as time-to-value, automation rates, and customer satisfaction, taking proactive steps to ensure successful outcomes.
• Collaborate with our Product and R&D teams to surface feedback, identify improvements, and help shape future innovations.
• Contribute to the evolution of our Deployment Services methodology, templates, and best practices.

Requirements

• 6+ years of experience in customer-facing implementation, deployment, or professional services roles, ideally within SaaS or AI technology companies.
• Proven success managing large, complex projects with multiple stakeholders and workstreams.
• Strong technical aptitude , comfortable configuring software platforms and discussing integrations, APIs, and data flows.
• Excellent project management skills with a structured, proactive, and detail-oriented approach.
• Exceptional communication and relationship-building skills, capable of influencing both executives and technical stakeholders.
• Experience implementing or configuring platforms like Fin, Zendesk, Salesforce, or similar customer experience tools is a plus.
• Analytical mindset with strong problem-solving, prioritisation, and decision-making skills.
• Adaptability and resilience in a fast-paced, changing environment.
• Passion for technology, AI, and helping customers succeed.

Benefits

• Competitive salary and equity in a fast-growing start-up.
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen.
• Regular compensation reviews , we reward great work!
• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.
• Pension scheme & match up to 4%.
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents.
• Flexible paid time off policy.
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones.
• If you're cycling, we've got you covered on the Cycle-to-Work Scheme. With secure bike storage too.
• MacBooks are our standard, but we also offer Windows for certain roles when needed.

XML job scraping automation by YubHub

It's an exciting time at Intercom , especially within our Deployment Services team. We're helping some of the world's most innovative companies transform how they support their customers through AI-powered customer service.

As a Senior AI Deployment Consultant, you'll lead our largest and most complex customer deployments, combining world-class project management with hands-on technical configuration of Intercom's platform , including our agent Fin.

Responsibilities

• Lead end-to-end deployment programs for our largest customers, ensuring successful and timely implementation to Intercom and Fin.
• Define project scope, success criteria, and timelines that align with each customer's unique goals and support model.
• Act as the primary point of contact for customers throughout implementation, managing communication, alignment, and expectations.
• Partner cross-functionally with Sales, Customer Success, Engineering, and Product teams to design tailored deployment strategies and deliver measurable outcomes.
• Facilitate discovery sessions to understand complex customer requirements and translate them into actionable technical and project plans.
• Perform hands-on configuration of Intercom features , including automation, workflows, technical procedures and reporting , supported by our Forward Deployed Engineers for advanced integrations.
• Coordinate technical readiness activities, including integrations, data migrations, and security reviews.
• Track key metrics on both the customer and Intercom side such as time-to-value, automation rates, and customer satisfaction, taking proactive steps to ensure successful outcomes.
• Collaborate with our Product and R&D teams to surface feedback, identify improvements, and help shape future innovations.
• Contribute to the evolution of our Deployment Services methodology, templates, and best practices.

Requirements

• 6+ years of experience in customer-facing implementation, deployment, or professional services roles, ideally within SaaS or AI technology companies
• Proven success managing large, complex projects with multiple stakeholders and workstreams.
• Strong technical aptitude , comfortable configuring software platforms and discussing integrations, APIs, and data flows.
• Excellent project management skills with a structured, proactive, and detail-oriented approach.
• Exceptional communication and relationship-building skills, capable of influencing both executives and technical stakeholders.
• Experience implementing or configuring platforms like Intercom, Zendesk, Salesforce, or similar customer experience tools is a plus.
• Analytical mindset with strong problem-solving, prioritisation, and decision-making skills.
• Adaptability and resilience in a fast-paced, changing environment.
• Passion for technology, AI, and helping customers succeed.

Benefits

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews , we reward great work!
• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.
• Pension scheme & match up to 4%
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Flexible paid time off policy
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• If you're cycling, we've got you covered on the Cycle-to-Work Scheme. With secure bike storage too
• MacBooks are our standard, but we also offer Windows for certain roles when needed.

XML job scraping automation by YubHub

It's an exciting time at Fin , especially within our Deployment Services team. We're helping some of the world's most innovative companies transform how they support their customers through AI-powered customer service.

As a Senior AI Deployment Consultant, you'll lead our largest and most complex customer deployments, combining world-class project management with hands-on technical configuration of Fin's platform , including our agent Fin.

Responsibilities

• Lead end-to-end deployment programs for our largest customers, ensuring successful and timely implementation to Fin.
• Define project scope, success criteria, and timelines that align with each customer's unique goals and support model.
• Act as the primary point of contact for customers throughout implementation, managing communication, alignment, and expectations.
• Partner cross-functionally with Sales, Customer Success, Engineering, and Product teams to design tailored deployment strategies and deliver measurable outcomes.
• Facilitate discovery sessions to understand complex customer requirements and translate them into actionable technical and project plans.
• Perform hands-on configuration of Fin features , including automation, workflows, technical procedures and reporting , supported by our Forward Deployed Engineers for advanced integrations.
• Coordinate technical readiness activities, including integrations, data migrations, and security reviews.
• Track key metrics on both the customer and Fin side such as time-to-value, automation rates, and customer satisfaction, taking proactive steps to ensure successful outcomes.
• Collaborate with our Product and R&D teams to surface feedback, identify improvements, and help shape future innovations.
• Contribute to the evolution of our Deployment Services methodology, templates, and best practices.

Requirements

• 6+ years of experience in customer-facing implementation, deployment, or professional services roles, ideally within SaaS or AI technology companies.
• Proven success managing large, complex projects with multiple stakeholders and workstreams.
• Strong technical aptitude , comfortable configuring software platforms and discussing integrations, APIs, and data flows.
• Excellent project management skills with a structured, proactive, and detail-oriented approach.
• Exceptional communication and relationship-building skills, capable of influencing both executives and technical stakeholders.
• Experience implementing or configuring platforms like Intercom, Zendesk, Salesforce, or similar customer experience tools is a plus.
• Analytical mindset with strong problem-solving, prioritisation, and decision-making skills.
• Adaptability and resilience in a fast-paced, changing environment.
• Passion for technology, AI, and helping customers succeed.

Benefits

• Competitive salary and equity in a fast-growing start-up.
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen.
• Regular compensation reviews , we reward great work!
• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.
• Pension scheme & match up to 4%.
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents.
• Flexible paid time off policy.
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones.
• If you're cycling, we've got you covered on the Cycle-to-Work Scheme. With secure bike storage too.
• MacBooks are our standard, but we also offer Windows for certain roles when needed.

XML job scraping automation by YubHub

It's an exciting time at Intercom , especially within our Deployment Services team. We're helping some of the world's most innovative companies transform how they support their customers through AI-powered customer service.

As a Senior AI Deployment Consultant, you'll lead our largest and most complex customer deployments, combining world-class project management with hands-on technical configuration of Intercom's platform , including our agent Fin.

Responsibilities

• Lead end-to-end deployment programs for our largest customers, ensuring successful and timely implementation to Intercom and Fin.
• Define project scope, success criteria, and timelines that align with each customer's unique goals and support model.
• Act as the primary point of contact for customers throughout implementation, managing communication, alignment, and expectations.
• Partner cross-functionally with Sales, Customer Success, Engineering, and Product teams to design tailored deployment strategies and deliver measurable outcomes.
• Facilitate discovery sessions to understand complex customer requirements and translate them into actionable technical and project plans.
• Perform hands-on configuration of Intercom features , including automation, workflows, technical procedures and reporting , supported by our Forward Deployed Engineers for advanced integrations.
• Coordinate technical readiness activities, including integrations, data migrations, and security reviews.
• Track key metrics on both the customer and Intercom side such as time-to-value, automation rates, and customer satisfaction, taking proactive steps to ensure successful outcomes.
• Collaborate with our Product and R&D teams to surface feedback, identify improvements, and help shape future innovations.
• Contribute to the evolution of our Deployment Services methodology, templates, and best practices.

Requirements

• 6+ years of experience in customer-facing implementation, deployment, or professional services roles, ideally within SaaS or AI technology companies
• Proven success managing large, complex projects with multiple stakeholders and workstreams.
• Strong technical aptitude , comfortable configuring software platforms and discussing integrations, APIs, and data flows.
• Excellent project management skills with a structured, proactive, and detail-oriented approach.
• Exceptional communication and relationship-building skills, capable of influencing both executives and technical stakeholders.
• Experience implementing or configuring platforms like Intercom, Zendesk, Salesforce, or similar customer experience tools is a plus.
• Analytical mindset with strong problem-solving, prioritisation, and decision-making skills.
• Adaptability and resilience in a fast-paced, changing environment.
• Passion for technology, AI, and helping customers succeed.

Benefits

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews , we reward great work!
• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.
• Pension scheme & match up to 4%
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Flexible paid time off policy
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• If you're cycling, we've got you covered on the Cycle-to-Work Scheme. With secure bike storage too
• MacBooks are our standard, but we also offer Windows for certain roles when needed.

XML job scraping automation by YubHub