Location:
Bengaluru Job Title: Director/Senior Director AI Budget: Upto 1.8 Cr (Fixed + Variable, based on experience and fit) Employment Type: Full time Industry: B2B SaaS Product Company

About the Role
We are looking for a visionary Head of AI to lead our AI strategy, product innovation, and engineering execution. This is a leadership role for someone who has successfully built and scaled AI products from concept to production while growing high-performing AI organizations from the ground up. The ideal candidate has experience building AI-first SaaS products, defining long-term AI roadmaps, hiring and mentoring world-class AI talent, and scaling teams from 10 to 100+ members. You will work closely with Product, Engineering, Sales, Customer Success, and Executive Leadership to embed AI into the company's core product offerings.

Key Responsibilities
AI Strategy & Leadership
• Define and own the company's AI vision, strategy, and execution roadmap.
• Drive AI adoption across all product lines and business functions.
• Identify new AI opportunities aligned with customer needs and business goals.
• Build a culture of innovation, experimentation, and engineering excellence. AI Product Development
• Lead the design, development, and deployment of AI-powered SaaS products.
• Build intelligent features leveraging:
• Generative AI
• Large Language Models (LLMs)
• AI Agents & Agentic Workflows
• Machine Learning & Deep Learning
• NLP
• Recommendation Systems
• Predictive Analytics
• Computer Vision (where applicable)
• Ensure production-grade AI systems with strong scalability, reliability, security, and observability.
• Own the end-to-end AI product lifecycle-from ideation to production and continuous improvement. Team Building & Organizational Leadership
• Build, scale, and lead an AI organization from 10 to 100+ professionals, including:
• AI Engineers
• ML Engineers
• Data Scientists
• MLOps Engineers
• Applied Scientists
• Data Engineers




• AI Product Managers
• Hire, mentor, and retain top AI talent.
• Establish engineering standards, performance metrics, and career development frameworks.
• Foster cross-functional collaboration between AI, Product, Engineering, and Business teams. Technical Leadership
• Architect scalable AI platforms and ML infrastructure.
• Establish best practices around:
• MLOps
• Model lifecycle management
• Model evaluation and monitoring
• Data governance
• Responsible AI
• AI Security
• AI Observability
• Drive adoption of cloud-native AI architectures. Business & Customer Impact
• Partner with Product and GTM teams to define AI-driven product strategy.
• Translate customer problems into scalable AI solutions.
• Present AI vision and product roadmap to executive leadership, customers, investors, and partners.
• Measure business impact through AI adoption, customer value, and revenue growth. Required Skills & Experience Experience
• 15-20+ years of overall experience in Software Engineering, Data Science, and AI.
• 8-10+ years of experience leading AI/ML organizations.
• Proven experience building and launching AI-powered products in a B2B SaaS product company.
• Demonstrated success in scaling AI teams from 10 to 100+ members.
• Strong experience managing multiple engineering managers and senior technical leaders.
• Experience working with global product teams and enterprise customers. Technical Expertise: AI & Machine Learning
• Generative AI
• Large Language Models (OpenAI, Anthropic, Gemini, Llama, etc.)
• Agentic AI / Autonomous Agents




• Retrieval-Augmented Generation (RAG)
• Fine-tuning & Prompt Engineering
• NLP
• Deep Learning
• Reinforcement Learning (good to have) AI Frameworks
• LangChain
• LangGraph
• LlamaIndex
• AutoGen
• CrewAI
• Semantic Kernel
• MCP (Model Context Protocol) Machine Learning
• TensorFlow
• PyTorch
• Scikit-learn
• XGBoost Programming
• Python (mandatory)
• SQL
• Java/Scala/Go (good to have) Cloud & Infrastructure
• Azure
• AWS
• GCP
• Kubernetes
• Docker MLOps
• MLflow
• Kubeflow
• Airflow
• Weights & Biases
• Vector Databases (Pinecone, Weaviate, Milvus, FAISS) Data
• Spark
• Kafka
• Snowflake
• Databricks
• BigQuery (good to have) Leadership Competencies
• Exceptional people leadership and coaching skills.
• Proven experience building organizations from scratch.
• Strategic thinker with strong execution capability.
• Ability to influence C-level executives and cross-functional stakeholders.
• Strong customer-first mindset.
• Excellent communication and presentation skills.
• Comfortable operating in a fast-paced, high-growth environment. Preferred Qualifications
• Bachelor's degree in Computer Science, Engineering, or a related field.
• Master's or Ph.
D. in AI, Machine Learning, Computer Science, or Data Science preferred.
• Publications, patents, or open-source contributions in AI are a plus.
• Experience building AI platforms serving enterprise-scale SaaS customers. Success Metrics
• Successfully build and scale a high-performing AI organization from 10 to 100+ members.
• Deliver AI-powered product capabilities that drive measurable customer adoption and business growth.
• Improve AI platform scalability, reliability, and deployment velocity.
• Establish a mature AI engineering and MLOps practice.
• Position the company as an AI-first leader in the B2B SaaS market.

📌 Director AI (Bengaluru)
🏢 Crystal Peak
📍 Bengaluru