Full Stack Product Engineer

Accountabilities

• Understand customer needs: Collaborate with Product, engineering colleagues, and customers to identify meaningful problems, challenge assumptions, clarify requirements, and define successful outcomes.

• Shape product solutions: Evaluate technical approaches, explore alternatives, prototype ideas, and make informed decisions about scope, complexity, priorities, and implementation.

• Develop across the full stack: Own technical design and implementation across frontend, backend, databases, APIs, and product workflows, selecting solutions that fit existing architecture and customer needs.

• Improve an established product: Investigate mature systems, understand existing behaviour, and introduce improvements carefully while maintaining compatibility with existing customers, integrations, plugins, and open-source users.

• Maintain high engineering standards: Integrate privacy, security, accessibility, performance, maintainability, and backwards compatibility into the development process from the outset.

• Collaborate across disciplines: Work with Product, Design, Quality Assurance, and other engineering teams to deliver cohesive solutions and address problems that span multiple technical domains.

• Deliver and iterate: Ship improvements in small, manageable increments, take responsibility for production outcomes, and use customer feedback and evidence to evaluate performance and guide future enhancements.

• Use AI throughout development: Apply approved AI tools to requirements refinement, ideation, prototyping, implementation, code review, and testing. Provide appropriate context, evaluate generated suggestions critically, and verify the quality of resulting software.

• Improve development practices: Maintain reusable AI instructions and workflows, experiment with emerging tools and models, and identify practical ways to improve engineering efficiency without compromising quality or security.

• Contribute to product strategy: Help strengthen capabilities across areas such as measurement integrity, human analytics, AI analytics and digital presence, growth and web, and enterprise platform functionality.

• Communicate effectively: Share decisions, progress, technical trade-offs, and learnings clearly in a globally distributed, asynchronous working environment.

Requirements

• At least 5 years of experience delivering full-stack software, with the technical depth to investigate complex problems, evaluate architectural choices, and make sound engineering decisions.

• Strong product judgement and a customer-focused mindset, with the ability to explain why a feature or improvement matters and how it can deliver measurable value.

• Demonstrated ownership of projects and outcomes, including the ability to clarify ambiguous requirements, identify opportunities, and shape solutions without relying on fully specified tasks.

• Experience working with mature codebases and established systems, improving functionality while avoiding unnecessary rewrites or disruption.

• The ability to balance speed of delivery with software quality, privacy, security, performance, maintainability, and backwards compatibility.

• Practical experience using AI tools throughout the software development lifecycle, including requirements refinement, prompt-context preparation, implementation, testing, and validation.

• Willingness to maintain reusable AI workflows and instructions, follow developments in AI models and engineering tools, and experiment with approaches that improve delivery and quality.

• Strong written and spoken English, with the ability to communicate technical concepts, document decisions, and collaborate effectively across time zones.

• A track record of exercising sound judgement, taking responsibility, and delivering meaningful results.

• Flexibility to work across frontend, backend, databases, APIs, documentation, product workflows, and customer feedback as required by the problem.

• Familiarity with PHP, MySQL, JavaScript, Vue.js, and TypeScript is beneficial, although exact experience with this technology stack is not essential.

• Additional helpful experience includes product management, UI/UX design, building a product or business, contributing to or maintaining open-source projects, developing plugins and APIs, and working with analytics, data-intensive systems, or enterprise software.

• An adaptable, collaborative approach and a commitment to continuous learning, clear communication, and high-quality outcomes.

Benefits

• 100% remote work: Work remotely from within your country of employment, including India for this opportunity.

• Flexible working hours: Organise your schedule around personal needs and team collaboration requirements.

• Paid annual leave: 25 days of paid annual leave.

• Home-office support: Equipment allowance to help establish a productive remote workspace.

• Health insurance support: Available where applicable, depending on the country of employment.

• Mental health and wellbeing: Access to support for employee wellbeing.

• Paid volunteering day: Dedicated time to contribute to causes and communities that matter to you.

• Pet bereavement leave: Leave support following the loss of a pet.

• Focused working environment: No-meeting Fridays and a commitment to limiting late meetings to no more than two days per week.

• Respect for working hours: No meetings scheduled after 10 p.m. in any time zone.

• Meaningful ownership and impact: Opportunities to influence product direction, solve complex technical problems, and contribute to an internationally used open-source platform.

• Global collaboration: Work alongside a distributed team and participate in a worldwide open-source community.

• Purpose-driven engineering: Help advance data privacy, digital sovereignty, and accessible analytics technology.