About the role:

You will be a pivotal member of the leadership team, responsible for driving the company's product and platform strategy while overseeing engineering excellence across AI, data, platform, DevOps and infrastructure. This is a mission-critical role for an engineering leader who is both strategic and hands-on, and who can build scalable technologies for global enterprise clients in a fast-paced innovation ecosystem.

Reports to: CEO - Location: Bengaluru, India - hybrid, 3 days a week in office

What you will do:

Technology and product leadership:

- Define and drive the technology vision, architecture and long-term platform roadmap.

- Oversee the architecture, design and delivery of highly scalable enterprise systems.

- Ensure engineering excellence, velocity and reliability across the product lifecycle.

- Engineering and platform management: Lead platform engineering, product technology, DevOps, infrastructure and Quality Engineering.

- Build robust cloud-native systems using the Azure, AWS and GCP ecosystems.

- Oversee operational effectiveness, including uptime, production reliability and cost optimisation.

Innovation and AI strategy:

- Spearhead Mission AI by developing scalable, production-grade AI/ML and GenAI capabilities.

- Own the GenAI/LLM solutions architecture.

- Core specialisation in AI agents and autonomous workflows, data extraction and intelligent automation.

- Direct hands-on architectural oversight of large language models, applied AI and multi-layered deep learning products.

- Extensive expertise in building intelligent document automation systems - similar in complexity to patent parsing, legal workflow automation and structured decision intelligence tools.

Technical leadership:

- A proven track record overseeing product architecture, tech strategy and cross-functional engineering execution across core full-stack and AI platforms.

- Collaborate with executive leadership on business strategy, client requirements and product delivery.

- Build, mentor and scale high-performing engineering teams with a growth mindset.

- Establish a strong technology culture grounded in ownership, innovation and continuous learning.

What success looks like:

- Mission AI: build a world-class AI system leveraging GenAI, ML and enterprise-grade data engineering.

- Hyper-scaling: architect and scale the platform to match global industry leaders in the IP space.

- Culture building: develop a strong engineering organisation with high ownership, performance and innovation DNA.

Qualifications and experience:

- Preferably under 15 years of enterprise software engineering experience across B2B SaaS or technology-first companies; fewer is fine for an exceptional engineer.

- A proven track record of taking early-stage AI/ML prototypes and scaling them into robust enterprise SaaS platforms featuring multi-agent orchestration, complex workflows and decision intelligence.

- Experienced in building and mentoring agile, lean startup teams of full-stack and machine learning engineers from the ground up.

- Proven leadership in defining and executing technology strategy and platform roadmaps.

- Extensive cloud-native engineering experience with Azure, AWS and GCP.

Technical expertise:

- Strong full-stack engineering background (Java, Python, JavaScript frameworks).

- Expertise with JS frameworks such as React, Angular and Node.js.

- Experience building and scaling distributed systems and microservices.

- Strong knowledge of databases (SQL, NoSQL), data modelling and unstructured data management.

- Strong understanding of Agile methodologies and tools (Atlassian, Git, CI/CD pipelines).

Behavioural and leadership competencies:

- Product and delivery management expertise, end to end, including delivery and customer support.

- Excellent communication, with the ability to influence executive stakeholders.

- High technical proficiency combined with strong business acumen.

- Strong analytical and decision-making skills.