Location:

BengaluruJob Title:

Director/Senior Director AI & Data AnalyticsBudget:

Upto 1.8 Cr (Fixed + Variable, based on experience and fit)Employment Type:

Full-timeIndustry:

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 & LeadershipDefine 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 DevelopmentLead the design, development, and deployment of AI-powered SaaS products.Build intelligent features leveraging:Generative AILarge Language Models (LLMs)AI Agents & Agentic WorkflowsMachine Learning & Deep LearningNLPRecommendation SystemsPredictive AnalyticsComputer 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 LeadershipBuild, scale, and lead an AI organization from

10 to 100+ professionals ,



including:AI EngineersML EngineersData ScientistsMLOps EngineersApplied ScientistsData EngineersAI Product ManagersHire, 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 LeadershipArchitect scalable AI platforms and ML infrastructure.Establish best practices around:MLOpsModel lifecycle managementModel evaluation and monitoringData governanceResponsible AIAI SecurityAI ObservabilityDrive adoption of cloud-native AI architectures.Business & Customer ImpactPartner 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

Experience15-20+ 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 .Robust experience managing multiple engineering managers and senior technical leaders.Experience working with global product teams and enterprise customers.

Technical Expertise:





AI & Machine LearningGenerative AILarge Language Models (OpenAI, Anthropic, Gemini, Llama, etc.)Agentic AI / Autonomous AgentsRetrieval-Augmented Generation (RAG)Fine-tuning & Prompt EngineeringNLPDeep LearningReinforcement Learning (good to have)AI FrameworksLangChainLangGraphLlamaIndexAutoGenCrewAISemantic KernelMCP (Model Context Protocol)Machine LearningTensorFlowPyTorchScikit-learnXGBoostProgrammingPython (mandatory)SQLJava/Scala/Go (good to have)Cloud & InfrastructureAzureAWSGCPKubernetesDockerMLOpsMLflowKubeflowAirflowWeights & BiasesVector Databases (Pinecone, Weaviate, Milvus, FAISS)DataSparkKafkaSnowflakeDatabricksBigQuery (good to have)Leadership CompetenciesExceptional 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 QualificationsBachelor'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 MetricsSuccessfully 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 & Data Analytics (For an IT Product Company) (Mumbai)
🏢 Crystal Peak
📍 Mumbai