Requirements

Track record of leading, coaching, and mentoring driven, high-performing teams.
Experience setting up ways of working to improve delivery speed, reliability, and quality.
Strong product mindset and passion for UX with a focus on data-driven decisions.
Excellent communication skills, able to explain complex technical concepts to non-technical audiences.
Experience designing and operating scalable, resilient systems handling large data and traffic.
Ability to reduce manual operational work while maintaining reliability and correctness.
Skill in breaking down complex projects into incremental milestones delivering customer value.
Knowledge of Java, Spring Boot, event-driven microservices architectures (e.g., Kafka), and relational databases.
Hands-on experience designing and operating systems that collect and validate data from changing or unreliable external sources (e.g., web scraping, third-party integrations).

Nice to Haves

Experience with or strong interest in applying large language models (LLMs) in production for data extraction, evaluation, and observability while guarding against hallucination.
Experience running experiments (A/B testing) and collaborating closely with analysts.

Lead, coach, and mentor engineers, owning team health, growth, and productivity.
Collaborate with the Product Manager to shape roadmap and technical vision across growth levers: reach, convert, and retain.
Own the reliability, accuracy, and scalability of the competitor data platform and public Comparison API.
Architect and scale the intelligent scraping platform to support thousands of self-healing scrapers with minimal manual maintenance.
Advance AI usage in data pipelines, including LLM scrapers, automated quality control, and AI-assisted fixes, ensuring safe and scalable adoption.
Provide feedback on technical designs and support data-driven decisions using experiments and key metrics.
Partner with Marketing, Compliance, SEO, Regional, and Pricing teams to establish operating models and governance that ensure trusted comparison data.
Maintain an overview of the wider Scalable Growth domain and foster cross-team engineering collaboration.
Stay hands-on by understanding systems deeply and participate in on-call rotation for critical services.