Customer Success Engineer

Role Overview

• Own technical solution design for Enterprise customers: from scoping integrations and data workflows through to working implementations that enable full platform value.
• Partner with Customer Success Managers (CSMs) to build implementation plans that accelerate time-to-value for managed accounts.
• Work alongside Account Executives (AEs) during pre-sales to communicate technical platform capabilities (APIs, security architecture, and cloud integrations) and resolve technical blockers in the sales cycle.
• Act as a technical bridge between GTM and PDE, capturing and routing customer integration feedback that shapes the product roadmap.
• Build lightweight technical solutions (scripts, automations) that extend platform capability for specific customer use cases.
• Advise customers on integration architecture: how to connect SafetyCulture to their existing systems effectively and sustainably.
• Partner with the API and Integrations Engineering team to resolve complex customer requirements and advocate for platform improvements that benefit the broader customer base.

Requirements

• Proven ability to design and implement data solutions: writing SQL queries, modelling relational databases, and translating raw data into business-relevant insights.
• Comfortable building across scripting or programming languages (e.g. Python, JavaScript, Ruby, Golang) to automate workflows or extend platform capabilities for specific customer use cases.
• Able to navigate a wide variety of enterprise system architectures, data models, and integration patterns.
• Confident reading API documentation and building or troubleshooting API integrations in enterprise environments.
• Background spanning software development and data analytics; comfortable moving between building solutions and communicating data-driven insights to non-technical stakeholders.
• Translates fluently between technical and non-technical audiences: equally credible in an engineering deep-dive and a customer-facing session with business stakeholders.
• Stays organised across a high-volume, concurrent workload; switches context quickly without losing quality or missing detail.
• Customer-first problem solver: listens to understand the real need before proposing a solution, and brings options rather than just problems.
• Self-directed and comfortable with ambiguity; identifies what needs to be built or fixed without waiting for a detailed brief.
• Team-first mindset: invests in the success of CSMs, AEs, and engineering partners, not just their own outcomes.
• Uses AI tools to accelerate integration work, drafting technical specs and documentation, analysing customer data to surface insights, and building automations faster.
• Applies AI coding assistants fluently in day-to-day work; evaluates AI-generated code for quality, correctness, and security before deploying.
• Proficient with AI tools: independently identifies where AI adds leverage in their workflows and adopts new capabilities without direction.

Tech Stack

• Cloud
• JavaScript
• Python
• Ruby
• SQL
• Go

Benefits

• Every full-time team member gets equity: real skin in the game