At Sonder, we believe that every person deserves to feel safe, supported, and empowered to be at their best - wherever they are. That’s why we’re redefining workplace health, safety, and wellbeing through a seamless blend of technology and human expertise. Sonder’s mobile platform provides 24/7, real-time support from a dedicated team of safety, medical, and mental health professionals - ensuring that our members receive immediate care when they need it most. In critical situations, we go beyond digital support, offering on-the-ground assistance to manage time-sensitive incidents.
By harnessing real-time insights, we enable organisations to take proactive steps toward a healthier, safer future, which leads directly to tangible bottom-line business outcomes.
An Exciting Time to Join Sonder!
Since our founding in 2017, Sonder has experienced rapid growth, expanding operations across Australia, New Zealand, and the UK. Backed by Australia’s leading venture capital firms, Seek and Blackbird, we are well-capitalised and on a mission to scale globally, partnering with corporations, educational institutions, and government agencies to transform workplace wellbeing at scale. Our impact and scale: 1,000,000+ members across multiple countries 200+ team members, plus an extensive network of on-the-ground responders If you’re passionate about using technology and human expertise to drive meaningful change, join us in shaping the future of workplace wellbeing!
Our Customer Insights and Measurement team at Sonder is looking for a Full Stack Engineer to help us build the next generation of wellbeing intelligence. We are looking for a builder who wants to own the entire journey, from crafting the customer-facing experience and data models to architecting the AI-first, human-in-the-loop insights that power our platform.
At Sonder, "Health and Wellbeing" isn't just a benefit; it’s our product. You’ll be building the tools that measure human impact, helping us move from reactive support to proactive, data-driven actions.
You will own the end-to-end journey of turning raw data into intelligent insights. On any given week, you might be building React-based dashboards, optimizing Snowflake transformations, or architecting multi-agent workflows that help our customers "talk" to their safety data.
- End-to-End Ownership: Build and maintain features from the database schema and Snowflake models through to the React UI.
- API Architecture: Design robust back-end services (Python/Node.js) that support data ingestion and high-concurrency reporting.
- Agentic Workflows: Design and ship autonomous AI workflows using frameworks like LangGraph, CrewAI, or native tool-use patterns.
- RAG & Context Engineering: Build and optimize RAG pipelines, focusing on retrieval quality, chunking strategies, and metadata filtering.
- MCP Integration: Build and deploy Model Context Protocol (MCP) servers to bridge the gap between our internal data silos and LLM reasoning engines.
- AI Observability: Implement evaluation frameworks (e.g., LangSmith, Arize Phoenix) to monitor "vibe checks," latency, and cost in production.
- Snowflake Mastery: Design and optimize tables and views that power customer-facing dashboards.
- Insight Automation: Use LLMs to automate the synthesis of complex safety data into actionable executive summaries.
- The "Builder" DNA: You are a heavy user of AI-assisted coding tools (Cursor, ClaudeCode, or Copilot) and have moved past the "experimental" phase into shipping production AI.
- Full Stack Fluency: Deep experience in React/Next.js and Python (preferred for AI) or Node.js.
- Data Engineering Literacy: Strong SQL skills and experience with data warehousing (Snowflake strongly preferred).
- Agentic Experience: You understand the difference between a basic prompt and a multi-step agentic loop involving tool-calling and structured outputs.
- Production Mindset: You know that "it worked on my machine" isn't enough; you care about LLM evaluation, prompt versioning, and error handling.
- Experience with vector databases (Pinecone, pgvector) and embedding-based search.
- Experience with dbt for data transformation.
- Familiarity with LangChain/LangGraph or other orchestration frameworks.
- A portfolio of "AI-first" side projects or contributions to open-source AI tools.
- Hybrid and flexible working – strike the right balance for your life and productivity
- Free Sonder app access for you and your family – 24/7 health, safety and wellbeing support
- 2 days study leave
- Paid parental leave – 12 weeks for primary carers and 4 weeks for secondary carers, with a supportive return-to-work program
- Employee Share Option Plan (ESOP) – share in Sonder’s success
- Wellbeing fund – $250 per year to spend your way
- Novated leasing and salary packaging options
- Weekly team perks – free coffee Tuesdays, catered lunch Thursdays, and a dog-friendly office
- Volunteer leave – 2 days per year to support causes that matter to you
- Regular social events and team bonding opportunities
We’re committed to building a diverse and inclusive workplace. We encourage applications from people of all backgrounds, experiences, abilities and identities. If you need any support with your application or the recruitment process, please reach out – we’d love to hear from you.
Due to the nature of our industry, all Sonder employees are required to complete a National Police Check and Working With Children Check.
