Jobs at Squiz

Build and maintain resilient, secure, cost-efficient cloud backend services for conversational search and content intelligence. Design distributed, event-driven systems, embed DevSecOps, maintain CI/CD and IaC, optimize AWS spend, integrate generative AI/RAG safely, mentor peers, and collaborate with product and design to deliver scalable production services in Node.js/TypeScript on AWS.

Lead technical ownership of the Discovery domain: design and operate scalable, resilient AWS cloud systems for conversational search and content intelligence. Drive event-driven architectures, DevSecOps, CI/CD, FinOps, and safe Generative AI (RAG/AWS Bedrock) integration. Implement IaC, optimize costs and observability, write backend services in Node.js/TypeScript, run architecture workshops, and perform code reviews to ensure operational excellence.

Technical lead responsible for designing and owning scalable, resilient cloud systems for conversational search and content intelligence. Build event-driven architectures, embed DevSecOps, optimize CI/CD and AWS costs, guide Generative AI/RAG integrations, write Node.js/TypeScript backend services, mentor engineers, and collaborate with product and design to balance delivery and architectural health.

Design, build, and operate resilient, secure, cost-efficient cloud backend services for conversational search and content intelligence. Own distributed systems, CI/CD, DevSecOps, FinOps, and contribute to Generative AI/RAG integrations using Node.js/TypeScript on AWS.

Design, build, and operate resilient, secure, cost-efficient cloud backend services for conversational search and content intelligence. Own distributed systems, CI/CD, DevSecOps, FinOps, and integrate Generative AI/RAG workflows (e.g., AWS Bedrock) using Node.js/TypeScript on AWS.

Technical lead responsible for designing and operating resilient, secure, cost-efficient cloud systems for conversational search and content intelligence. Own distributed system architecture, DevSecOps and CI/CD, FinOps for AWS spend, and technical steering of Generative AI/RAG integrations. Write backend services in Node.js/TypeScript, mentor engineers, run architecture workshops, and collaborate with stakeholders to balance delivery and long-term health.

Design, build, and maintain AI-powered sales automation, integrations, and revenue intelligence systems. Improve account prioritization, pipeline quality, forecasting, and lifecycle automation while enabling Sales and Marketing through scalable workflows and data-driven insights.

Build and scale AI-powered GTM systems and automations across Sales and Marketing. Design workflows, integrations, and enrichment pipelines to prioritize accounts, improve forecasting and pipeline visibility, automate repetitive processes, and deliver revenue intelligence and dashboards to drive better GTM decisions.

The Digital Strategy Consultant will drive growth by identifying opportunities, leading workshops, and advising enterprise clients on digital strategies using Squiz DXP.

Design and implement AI-first sales automation, RevOps systems, and integrations to prioritize accounts, automate workflows, improve forecasting, and deliver revenue intelligence across the GTM tech stack.

Design and implement SDLC observability pipelines using GitLab, Jira, AWS, Confluence, Cloudflare, and Dynatrace; build dashboards and KQIs (Change Failure Rate, Regression Rate, Release Failure Rate, Code Review Depth); analyze engineering practices to identify bottlenecks; partner with engineering leadership to embed quality telemetry and drive process maturity.

Design and implement SDLC observability pipelines by integrating tool APIs to collect, aggregate, and visualize engineering and quality metrics. Build self-service dashboards for Engineering Managers, define and automate Key Quality Indicators, analyze process friction, and drive SDLC maturity while partnering with Quality and Engineering leadership.

Design and implement SDLC observability pipelines using tool APIs to collect, aggregate, and visualize engineering and quality metrics. Build self-service dashboards for Engineering Managers, define and automate Key Quality Indicators, analyze SDLC friction, and embed quality best practices across teams. Partner with Quality and Engineering leadership to drive process maturity and enable data-driven decision-making.

The Senior Account Executive will drive sales of digital experience technology, manage complex sales cycles, and build relationships with enterprise clients in the US market.

The Senior Account Executive will drive new enterprise revenue, manage existing accounts, and provide strategic digital consulting to customers in New Zealand.