Director of Engineering - Data & AI

About LeadSquared:

Role Overview:

Key Responsibilities:Data Platform & Infrastructure

• Define and execute the strategy for LeadSquared’s next-generation enterprise data platform to support reporting, analytics, and ML use cases.
• Own end-to-end data engineering: real-time pipelines, data lakes, transformation workflows (ClickHouse, Spark, Kafka, Airflow).
• Improve observability, quality, and governance of customer data at scale across tenants and domains.

AI & ML Strategy

• Lead the development of ML/AI features in LeadSquared products – e.g., lead scoring, predictive workflows, agent assist, and generative AI features.
• Build a scalable MLOps framework to take models from experimentation to production seamlessly.
• Ensure responsible, explainable, and secure use of AI aligned with regulatory and ethical standards.

Analytics & BI Enablement

• Partner with business and product teams to deliver dashboards, insights, and self-serve data capabilities.
• Define and drive KPIs for product usage, GTM success, customer health, and internal efficiency.

Leadership & Collaboration

• Build and lead a cross-functional team of data engineers, ML engineers, and analysts.
• Collaborate with engineering to embed data capabilities into the core platform architecture.
• Evangelize a data-driven culture across LeadSquared — from leadership to product teams to customer-facing roles.

Ideal Profile:

• 15+ years of experience in data/AI roles with at least 5 years in senior leadership.
• Proven experience leading data platforms and AI productization in a B2B SaaS environment.
• Strong understanding of multi-tenant SaaS, customer engagement data, and large-scale analytics systems.
• Deep expertise in data architecture, streaming systems, warehousing, and AI/ML lifecycle management.
• Experience with modern data stack: ClickHouse (preferred), Snowflake/BigQuery, dbt, Kafka, Python, Spark, Airflow, etc.
• Strong business acumen and ability to work cross-functionally with product, business, marketing, and sales.

Nice to Have:

• Experience with AI in CRM or sales automation platforms (e.g., lead intelligence, conversation insights).
• Exposure to personalization engines, customer data platforms (CDP), or predictive customer engagement.

Why Join Us?

• Be a strategic leader shaping the future of LeadSquared’s product through data and AI.
• Solve high-scale data challenges across diverse industries and global customers.
• Join a company with strong momentum, a data-rich product, and a culture of innovation and ownership