Matillion

Full-stack Engineer

• Lead the Hub and Billing architectural vision for Matillion's Maia foundation platform, defining scalable patterns, standards, and practices across multiple product squads
• Partner with Product and Engineering leadership to translate high-level technical roadmaps into Hub and Billing features the help with Maia foundation platform's evolution
• Define and evolve the architecture, ensuring modularity, scalability, and consistency across independently deployed product surfaces
• Own the Hub and Billing features — driving customer adoption, contribution to standards, and long-term evolution to ensure consistency at scale
• Lead technical design reviews, prototype emerging frontend patterns, and validate architectural proposals before full-scale development
• Hold final say on architectural decisions that balance innovation velocity with long-term maintainability
• Identify and prioritise refactoring targets that will deliver the greatest efficiency and quality gains across the codebase
• Ensure all third-party libraries are appropriately licensed, maintained, and fit for purpose
• Define and maintain frontend observability practices — using monitoring data as a foundation for proactive stability improvements
• Champion an agentic development culture — actively integrating AI tools into daily engineering workflows and setting the standard for others to follow
• Stay ahead of the rapidly evolving GenAI landscape, evaluating new tools, models, and approaches and feeding insights back into the team's ways of working
• Build modular, reusable frontend components designed to be shared across Matillion's product range
• Collaborate with Data Science and Product teams to ensure AI-driven features are surfaced through interfaces that are intuitive, performant, and reliable
• Develop engineering capability across squads through coaching, delegation, and structured feedback
• Encourage technical curiosity and participation in architectural discussions at all levels
• Advise on both on-the-job and external development opportunities
• Model and embed Matillion's engineering values through everyday actions and behaviours

Senior Staff Software Engineer

Data Scientist

• You will drive quantifiable business impact by measuring, understanding, and optimising the usage and adoption of our SaaS products, Data Productivity Cloud and Maia.
• You will be the primary analytical expert, applying deep statistical analysis, experimentation, and advanced techniques to large product telemetry datasets.
• You will drive Product-Led Growth success by translating data insights into actions that directly influence key product metrics and adoption motions.
• You will be the data storyteller, creating executive-ready insights through high-quality visualisations, presentations, and compelling narratives.
• You will act as a Player-Coach, maintaining a primary hands-on contribution while mentoring and guiding a small team of junior analysts/data engineers.

Product Analytics Lead

Frontend Engineer

• Lead the frontend architectural vision for our React-powered platform — defining scalable patterns, standards, and practices across multiple product squads**
• Own the Design System strategy and micro-frontend architecture, driving consistency, modularity, and long-term scalability across our product surfaces**
• Champion an agentic development culture — integrating AI tools into daily engineering workflows and staying ahead of the rapidly evolving GenAI landscape**
• Partner with Product and Engineering leadership to align frontend strategy with the Maia platform roadmap, validating architectural proposals before full-scale development**
• Develop engineering capability across squads through coaching, structured feedback, and leading by example on Matillion's engineering values

Senior Staff Software Engineer – FrontEnd

Product Designer

• Designing end-to-end experiences across research, exploration, prototyping, testing and high-fidelity delivery.
• Translating complex technical workflows and AI behaviours into clear, trustworthy and intuitive interactions.
• Using data, behavioural psychology and experimentation to test assumptions and understand what actually drives user value.
• Collaborating closely with Product and Engineering to explore opportunities and deliver thoughtful, high-quality work.
• Balancing rapid experimentation with scalable, long-term solutions and learning when to move fast and when to dig deeper.
• Contributing to a positive, inclusive and collaborative team culture where feedback, curiosity and continuous improvement are valued.

• React Feature Engineering: Develop and maintain production-ready UI components using React and TypeScript, prioritizing code that is clean, readable, and easily understood by your peers.
• Agentic-First Development: Integrate GenAI tools into your daily workflow to automate repetitive tasks, significantly increasing your development velocity and focusing your energy on complex logic and architecture.
• Quality Assurance & AI Validation: Act as a diligent "human-in-the-loop" by reviewing, refactoring, and perfecting AI-suggested code to ensure it aligns with our high standards for security and performance.
• Incremental Delivery: Successfully break down larger epics into manageable tasks, ensuring a consistent flow of value through continuous integration.
• Collaborative Design: Contribute to front-end architecture discussions, helping to define component patterns and state management strategies within your squad.
• Operational Excellence: Use observability data to monitor your services and proactively suggest front-end performance enhancements.
• Comprehensive Testing: Write robust unit and integration tests for React components, ensuring reliability across the "happy path" as well as complex edge cases.

Software Engineer – Front End

Sales Development Rep

• Lead a high-performing team of 8-10 Enterprise SDRs to fuel Matillion's revenue engine
• This role demands a frontline leader who drives consistent pipeline creation through KPI-driven coaching, AI-powered efficiency, and strategic alignment with Enterprise sales leadership
• You will lead from the front, building champions, over-achieving targets, and leveraging data to turn SDRs into quota-crushing machines
• If you thrive on accountability, love coaching winners, and want to shape the future of AI-driven sales development at a hyper-growth data platform company, this is your role.
• We prefer this person to sit in Denver, Atlanta, or Boston. If in Denver, the role will be hybrid with 2 days in the Denver office.

Manager, Sales Development Representative

Product Manager

• Translating Vision to Action: Engage deeply with GTM teams to understand and break down complex customer needs into actionable work that our R&D teams can deliver with precision.
• Simplifying the Complex: Take intricate data architectural concepts and frame them in simple, high-impact language for both internal stakeholders and external customers.
• Driving the Roadmap: Define and execute the product strategy for key areas of the Matillion platform, ensuring we maintain a dominant edge in the Data Productivity Cloud space.
• Customer Advocacy: Act as the "voice of the customer" within engineering, using deep empathy to ensure the products we build solve real-world friction for data teams.
• Market Intelligence: Continuously monitor the evolving data landscape to provide our sales and marketing teams with the technical ammunition and differentiation needed to win.

Senior Product Manager

Program Manager

• Define and maintain the internal AI roadmap, prioritising high-impact, low-risk automations that drive measurable business outcomes
• Lead cross-functional AI initiatives across the business, ensuring alignment with architectural standards, security governance, and ROI targets
• Drive the cultural shift to an "AI-First" mindset—developing training programs, managing change, and reducing "AI anxiety" across non-technical teams
• Define and report KPIs such as "Hours Reclaimed," "Process Velocity," and "Cost per Automation," delivering quarterly impact reports to the executive team
• Act as the bridge between technical and non-technical stakeholders, translating AI complexity into actionable strategy and holding teams accountable for delivery