Technical Product Owner - II

This role is for you if:

• You believe that a high-performing team is built on trust, high agency, and the removal of administrative friction.
• You are an engineer at heart who can go deep on architectural trade-offs, write exemplary code, do thought-provoking code reviews, and thus, lead by example. You should be a sought-after person for high-stakes incident debugging sessions.
• You thrive on the challenge of implementing solutions at scale while maintaining a positive, growth-oriented team vibe.
• You have a "Product Mindset" and realize that the best code is the code that solves a real customer problem.
• You will partner directly with Product and Program management to identify risks and define the future, but your primary mission is to be a performance multiplier—ensuring your team has the clarity, energy, and technical standards to win.
• Tech stack you will get exposure to: GoLang, Java, Python, NodeJS, Serverless Technologies (AWS Lambda, AWS Step Functions), Kafka.

What’s in it for you?

• Execution & Delivery: Own the end-to-end delivery of mission-critical products, ensuring team commitments are met with high velocity and quality.
• Strategic Alignment: Partner with Product and Business to define roadmaps and translate customer needs, including AI-integrated features, into actionable engineering plans.
• High-Performance Leadership: Hire, mentor, and develop a diverse team of engineers, fostering a culture of high agency, growth, and collective success.
• Technical Stewardship: Collaborate with Tech Leads and Architects to solve complex problems, influence design discussions, and drive long-term architectural planning.
• Data & Innovation: Develop robust strategies for effective data engineering and scalable system design to support both core features and AI initiatives.
• Operational Excellence: Drive engineering best practices, ensuring technical debt is managed and systems are built for long-term reliability.
• Process Optimization: Continuously evaluate and implement AI-powered tools (e.g., LLM-based coding assistants, automated documentation etc.) to streamline internal workflows and boost team productivity.

Requirements

• Bachelor's degree in Computer Science.
• 7-11 years of experience in software engineering. 
• 2-4 years of experience in leading engineering teams.
• Strong experience in Agile software development processes such as Scrum and Kanban.
• Good written and verbal communication skills.
• Ability to build strong relationships with people and drive them towards a common goal.
• Demonstrated leadership in a cross-functional, highly collaborative environment.
• Demonstrated focus on continuous improvement of systems, software, and processes through data analysis and metrics.
• 5+ years of hands-on experience with Golang / Java / Python / Node.js, SQL, and Kafka.
• Solid understanding of Event First/Microservices/Serverless Architecture, Schema Evolution.
• Knowledge of modern DevOps tools and techniques.
• Experience with setting up/tracking key engineering metrics and summarising them for executive decision-making.