About the role
About DatastrawDatastraw Technologies is an AI Ops company helping businesses transform their operations into AI-first operations. We build the systems, infrastructure and intelligence that enable businesses to automate, optimise and scale how work gets done.We’re building the technology behind customer experience for modern consumer brands - bringing together customer conversations, workflows, knowledge, automation and AI to make CX operations more intelligent, efficient and scalable.Our internal platform brings together customer conversations, brand knowledge, workflows, AI-assisted responses, operational data and third-party systems in one place. The goal is to make CX teams more efficient while giving brands better visibility and control over their customer experience.We’re still early in this journey, which means there is a lot to build.The RoleWe’re looking for a Software Engineer with 1-3 years of experience who enjoys building products, solving practical engineering problems and wants to grow into a Tech Lead over time.You’ll work closely with the founders, operations team and CX teams to understand real business problems and turn them into technology solutions.This is a hands-on role where you’ll contribute to our internal CRM, CX platform, integrations and automation. As you grow and take on more ownership, you’ll have the opportunity to contribute to architecture, technical decisions, engineering processes and eventually team development.What You’ll Work On1. Build & Improve the CX Platform
- Contribute to the development and improvement of our internal CRM and CX platform.
- Build features across customer conversations, agent workflows, automation and reporting.
- Work on systems that support multiple brands, teams and workflows.
- Improve the existing platform rather than constantly rebuilding from scratch.
- Identify technical debt and help improve code quality, reliability and maintainability.
- AI-assisted customer response generation
- Brand, SOP and knowledge-base retrieval
- Agent copilots
- Conversation analysis
- Automated escalation and routing
- AI voice and chat experiences
- Customer intent and sentiment understanding
- Workflow automation
- Evaluation and monitoring of AI responses
- Systems that combine human agents with AI
- WhatsApp and messaging platforms
- Email and ticketing systems
- Shopify Admin API
- Meta WhatsApp API
- Instagram Graph API
- React
- Supabase
- PostgreSQL
- Supabase Auth
- Edge Functions / RPCs
- Webhooks
- Qdrant
- OpenRouter
- DeepInfra
- LLM and AI APIs
- Development workflows
- Git and branching practices
- Code reviews
- Documentation
- Testing
- Deployment processes
- Monitoring and logging
- Security and access controls
- Technical planning and estimation
- Architecture and technical decisions
- Technical planning
- Engineering processes
- Mentoring junior engineers and interns
- Technical hiring and candidate evaluation
- Delegating technical work
- Technology roadmap
- Building and growing the technology team
- Shaping Datastraw’s technology roadmap and connecting technical priorities with business needs.
- Managing and optimising technology costs across infrastructure, APIs, AI/LLM usage and third-party tools.
- Evaluating technologies and vendors to make practical decisions around performance, scalability and cost.
- Contributing to build-vs-buy decisions and helping keep technology and AI spending efficient.
- Tracking technology costs as the platform grows and identifying opportunities to optimise them.
- Have 1-3 years of professional software engineering experience.
- Have worked as part of a product or engineering team.
- Have experience taking ownership of features from development to deployment.
- Are comfortable working in an early-stage or fast-changing environment.
- Have strong backend and API fundamentals.
- Understand databases, authentication, APIs, webhooks and integrations.
- Have experience with React and modern web application development.
- Have worked with PostgreSQL or a similar relational database.
- Have experience with cloud-based platforms such as Supabase, AWS, GCP, Azure or similar.
- Are comfortable reading existing code and improving it.
- Can communicate technical concepts clearly.
- Can make sensible technical trade-offs rather than over-engineering everything.
- Are organised and enjoy solving practical problems.
- Have an interest in AI/LLMs and are willing to learn and experiment with them.
- Experience building internal tools, SaaS products or B2B platforms.
- Experience with AI/LLM applications.
- Experience with RAG, vector databases or knowledge retrieval systems.
- Experience building AI agents or agent-assist systems.
- Experience integrating WhatsApp, Shopify or other commerce/CX platforms.
- Experience working with Supabase, PostgreSQL and serverless/edge functions.
- Experience mentoring or collaborating closely with other developers.
- Experience working in a start-up or an environment where you had significant ownership.
- Has only worked on very narrowly defined tickets.
- Needs a fully established engineering organisation around them.
- Wants every technical decision to already be made for them.
- Equates good engineering with building complex systems.
- Is interested in technology only for the sake of using the latest tools.
- Understand the existing CRM, architecture, codebase and integrations.
- Understand how Datastraw’s CX operations work.
- Identify major technical risks and bottlenecks.
- Start contributing directly to the product.
- Take ownership of features and improvements.
- Improve reliability, documentation and development workflows.
- Ship meaningful improvements to the CRM and platform.
- Start contributing to technical planning and engineering processes.
- Take ownership of larger technical areas.
- Contribute to architecture and technical decisions.
- Help improve scalability, observability and security.
- Start taking on responsibilities that prepare you for future Tech Lead ownership.
- Work on a real product used by CX teams and customers.
- Shape and improve the architecture of an early-stage platform.
- Work directly with founders and CX operators.
- Work across product development, integrations, automation and modern technologies.
- Take ownership of meaningful technical problems.
- Learn and grow alongside the technology function.
- Gradually take on leadership responsibilities.
- Grow into a Tech Lead role as you develop your technical and leadership skills.