Original listing text, shown exactly as published by the company.
Key Responsibilities
- 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.
Required Skills & Experience
Technical Skills
- 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
Behavioural Skills
- 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
AI Skills
- 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.
Success Looks Like
- Operating independently across the full customer engagement lifecycle: scoping, designing, and delivering technical solutions without needing close direction.
- Consistently high customer confidence scores in post-engagement surveys, reflecting the quality and clarity of technical guidance delivered.
- Enterprise customers are integrating successfully and realising value from the platform faster, evidenced by reduced implementation cycle times and lower escalation rates.
Key Stakeholders
- Customer Success Managers: primary internal partners on ongoing customer planning and value delivery.
- Customer Onboarding Managers: primary internal partners on initial customer implementation planning and value delivery
- Account Executives: Sales partners during pre-sales technical evaluation and solution scoping.
- API and Integrations Engineering team: engineering counterparts for complex customer requirements and product feedback.
- Technical Architects: Pre-sales counterparts that will scope and architect large, complex customer solutions and hand off to CSEs to implement.
