Director of Engineering - Data & AI

15 - 20 years

50 - 60 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

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:
  • 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 (eg, lead intelligence, conversation insights)
  • Exposure to personalization engines, customer data platforms (CDP), or predictive customer engagement

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LeadSquared

Software Development

Bengaluru Karnataka

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