Director Of Engineering - Data & AI

Director of Engineering - Data & AI Location: Bangalore About LeadSquared: LeadSquared is a fast-growing, global SaaS platform powering sales execution and marketing automation for high-velocity businesses. With customers across EdTech, Financial Services, Healthcare, and more, our platform processes billions of customer interactions and transactions each month. We are on a mission to make every sales process intelligent, automated, and outcome-driven — and data & AI are central to that mission. Role Overview: We are looking for a strategic and hands-on Senior Director/AVP – Data & AI to lead the vision, design, and execution of LeadSquared’s data platform and AI roadmap. This leader will be responsible for building scalable infrastructure, driving productized AI capabilities, and empowering teams with data insights that fuel decisions and automation across the company and platform. This role will work closely with product, engineering, customer success, and GTM teams to transform how data and AI power our products and internal decisions. 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: 12-15+ 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

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