Grip

Engineering Manager

• Lead, mentor and grow a team of approximately four engineers, including a Principal Engineer and full-stack engineers
• Run effective 1:1s, career conversations, and performance reviews using Grip's progression framework
• Foster a culture of psychological safety, high standards, and continuous improvement
• Own hiring and onboarding for the Manage Squad in partnership with Engineering leadership
• Partner closely with the Product Manager and Designer to review upcoming initiatives, assess feasibility, and surface technical risks early
• Own the squad's delivery cadence — sprint planning, prioritisation, and release quality
• Balance feature delivery with ongoing investment in platform health: tech debt, refactoring, security, and governance
• Take ownership of features from start to finish using agile methodologies, delivering with feature flags, tests, and observability
• Champion high-quality technical communications: proposals, specs, testing reports, and release planning
• Drive AI-first ways of working within the squad — embedding AI tooling into development workflows, code review, testing, and delivery
• Drive architectural consistency, code quality, and engineering best practice within the Manage Squad
• Work closely with the Head of Platform to align Manage's architecture with the wider platform vision
• Identify and lead progressive modernisation of legacy systems — migrating and consolidating without disrupting delivery
• Deliver features with security and performance in mind, embedding compliance and governance principles throughout
• Collaborate with the VP of Engineering Operations on AWS infrastructure (EKS, ECS, Lambda, CloudFront, S3) as it relates to the Manage domain
• Contribute to CI/CD pipeline improvements and progressive delivery practices across squads
• Drive reliability monitoring and observability within Manage (Prometheus, Grafana, Sentry)
• Contribute to security posture improvements: vulnerability scanning, pen testing coordination, and enforcement of standards
• Work closely with the Engineering Director for Engage to align on shared engineering standards, cross-cutting initiatives, and resource decisions
• Partner with the Head of Platform on cross-domain architectural decisions that span Manage, Data, and AI systems
• Collaborate with the VP of Engineering Operations on delivery excellence, operational compliance, and cost governance
• Represent the Manage Squad in engineering leadership forums and contribute to the organisation-wide technical strategy

Senior Engineering Manager

AI Engineer

• Own the architecture of Grip's platform-wide data and AI infrastructure — from how event data is captured and modelled, to how it's stored, governed and served to downstream consumers including search, recommendations, analytics, and AI agents.
• You'll set the standards that squads build against, and you'll directly build the shared infrastructure that no single squad owns.
• Own platform-wide data architecture: capture standards, data modelling, storage strategy, and serving layers used across the organisation
• Design and build the data infrastructure powering analytics, search, recommendations, and AI/agentic features
• Build and scale data pipelines handling high-volume event interaction data across the platform — both batch and streaming — with reliability and low latency at the core
• Own the data layer that underpins Grip's Agentic products, ensuring agents and MCP-based tools have access to clean, well-modelled, real-time data
• Define data contracts and standards that product squads (Engage, Manage) build against, working as a technical peer to their Principal / Senior Engineers.
• Establish data quality, governance and lineage standards across the organisation, including PII handling in line with GDPR
• Drive the technical strategy for how Grip captures and governs new categories of data (e.g. smart badge telemetry, location/proximity signals) in a privacy-compliant, lawful-basis-aware way
• Build observability into data systems — structured logging, freshness and quality monitoring, SLOs, and pipeline health dashboards
• Champion high-quality technical communication: proposals, specifications, and documentation that other teams can build on
• Mentor engineers across the organisation on data architecture and AI infrastructure best practices

Senior Engineering Manager

Principal AI Engineer