Job DescriptionLocation: Bengaluru NJob Title: Director/Senior Director AI & Data Analytics NBudget: Upto 1.8 Cr (Fixed + Variable, based on experience and fit) NEmployment Type: Full-time NIndustry: B2B SaaS Product Company NnAbout the Role: NWe 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. NThe 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. NnKeyResponsibilities: NnAI Strategy & Leadership Nn Define and own the company's AI vision, strategy, and execution roadmap. N Drive AI adoption across all product lines and business functions. N Identify current AI opportunities aligned with customer needs and business goals. N Build a culture of innovation, experimentation, and engineering excellence. NnAI ProductDevelopment Nn Lead the design, development, and deployment of AI-powered SaaS products. N Build intelligent features leveraging: N Generative AIn Large Language Models (LLMs) N AI Agents & Agentic Workflows N Machine Learning & DeepLearning N NLPn Recommendation Systems N Predictive Analytics N Computer Vision (where applicable) N Ensure production-gradeAI systems with strong scalability, reliability, security, and observability. N Own the end-to-end AI product lifecycle-from ideation to production and continuous improvement. NnTeam Building & Organizational Leadership Nn Build, scale, andlead an AI organization from 10 to 100+ professionals, including:



N AI Engineersn ML Engineers N Data Scientistsn MLOps Engineers N Applied Scientistsn Data Engineers N AI Product Managers N Hire, mentor, and retain top AI talent. N Establish engineering standards, performance metrics, and career development frameworks. N Foster cross-functionalcollaboration between AI, Product, Engineering, and Business teams. NnTechnical Leadership Nn Architect scalable AI platforms and ML infrastructure. N Establish best practices around: N MLOpsn Model lifecycle management N Model evaluation and monitoring N Data governancen Responsible AI N AI Securityn AI Observability N Drive adoption of cloud-native AI architectures. NnBusiness &Customer; Impact Nn Partner with Product and GTM teams to define AI-driven product strategy. N Translate customer problems into scalable AI solutions. N Present AI vision and product roadmap to executive leadership, customers, investors, and partners. N Measure business impactthrough AI adoption, customer value, and revenue growth. NnRequired Skills & Experience NnExperience Nn 15-20+ years of overall experience in Software Engineering, Data Science, and AI. N 8-10+ years of experience leading AI/ML organizations. N Proven experience building and launching AI-powered products in a B2B SaaS product company. N Demonstrated success inscaling AI teams from 10 to 100+ members. N Strong experience managing multiple engineering managers and senior technical leaders. N Experience working withglobal product teams and enterprise customers. NnnTechnical Expertise: NnAI & Machine Learning Nn Generative AI N Large Language Models (OpenAI, Anthropic, Gemini,



Llama, etc.) N Agentic AI / AutonomousAgents N Retrieval-Augmented Generation (RAG) N Fine-tuning & Prompt Engineering N NLPn Deep Learning N Reinforcement Learning (good to have) NnAI Frameworks Nn LangChainn LangGraph N LlamaIndexn AutoGen N CrewAIn Semantic Kernel N MCP (Model Context Protocol) NnMachine Learning Nn TensorFlownPyTorch N Scikit-learnn XGBoost NnProgramming Nn Python (mandatory) N SQLn Java/Scala/Go (good to have) NnCloud & Infrastructure Nn Azuren AWS N GCPn Kubernetes N DockernnMLOps Nn MLflown Kubeflow N Airflown Weights & Biases N Vector Databases (Pinecone, Weaviate, Milvus, FAISS) NnData Nn Sparkn Kafka N Snowflaken Databricks N BigQuery (good to have) NnLeadershipCompetencies Nn Exceptional people leadership and coaching skills. N Proven experience building organizations from scratch. N Strategic thinker with strong execution capability. N Ability to influence C-level executives and cross-functional stakeholders. N Strong customer-first mindset. N Excellent communicationand presentation skills. N Comfortable operating in a fast-paced, high-growth environment. NnPreferred Qualifications Nn Bachelor's degreein Computer Science, Engineering, or a related field. N Master's or Ph.D. in AI, Machine Learning, Computer Science, or Data Science preferred. N Publications, patents, or open-source contributions in AI are a plus. N Experience building AI platforms serving enterprise-scale SaaS customers. NnSuccess Metrics Nn Successfully build and scale a high-performing AI organization from 10 to 100+ members. N Deliver AI-powered product capabilities that drive measurable customer adoption and business growth. N Improve AI platform scalability, reliability, and deployment velocity. N Establish a mature AI engineering and MLOps practice. N Position the company asan AI-first leader in the B2B SaaS market. Nn

📌 Director Ai & Data Analytics (For An It Product Company) (Vasanthanagar)
🏢 Crystal Peak
📍 Vasanthanagar