Product Evangelist

This role is for one of Weekday’s clients Salary range: Rs 2000000 - Rs 8000000 (ie INR 20-80 LPA) Min Experience: 7 years Location: Chennai JobType: full-time Requirements We are seeking a seasoned technologist who can bridge developer advocacy and Solution Architecture. In this hybrid role, you will both educate and empower developer communities while also advising enterprise customers on large-scale Data, AI, and Cloud transformations. You’ll work hands-on with cutting-edge technologies ranging from Big Data platforms (Databricks, Snowflake, Hadoop, Kafka, MongoDB, etc.) to LLMs, AI/ML, and distributed systems, while representing our platform in communities, conferences, and strategic customer engagements. This role is ideal for someone who thrives in both community-facing developer advocacy and strategic solution architecture consulting, helping to build the future of data-driven applications. Key Responsibilities: Developer Advocacy & Community Building - Create authentic technical resources: open source demos, code samples, documentation, how-to guides, tutorials, and blogs. - Build awareness and motivate developers to build applications, data pipelines, and data science workflows on our platform. - Engage in communities like Stack Overflow, GitHub, Slack, Reddit, Discord to support developers and identify new resources. - Deliver impactful talks at conferences, meetups, and events, showcasing solutions, best practices, and platform capabilities. - Collaborate with product teams to communicate developer needs and influence roadmap. - Define and own success metrics for developer engagement, content reach, and community growth. Solution Architecture & Customer Success : - Partner with enterprise customers as a trusted technical advisor, guiding their Data & AI transformation initiatives. - Architect and implement scalable solutions across data engineering, data science, analytics, and ML/AI workflows. - Lead customer workshops, proof-of-concepts, migrations, and complex delivery programs. - Consult on cloud-native architectures, integrations, and data governance/security (Unity Catalog, RBAC). - Advise customers on competitive landscapes (Snowflake, Databricks, EMR, Sagemaker, MongoDB Atlas, etc.). - Collaborate with cross-functional teams: product engineering, marketing, customer success, and partner organizations. - Mentor internal teams and customers on best practices, distributed computing, and modern data architectures. Required Skills: Must-Have: - 7–10+ years of experience in Developer Relations, Developer Advocacy, or Solution Architecture. - Proven expertise in Big Data technologies (Apache Spark, Kafka, Data Lakes, Hadoop, Cassandra, Delta Lake, Trino). - Strong coding experience in at least two of: Python, PySpark, Java, Scala, JavaScript, Go, Ruby, R, or C#. - Hands-on experience with LLMs and AI/ML platforms (Langchain, LlamaIndex, HuggingFace, mistral, Pinecone, Weaviate, MLflow). - Proficiency with data platforms and cloud ecosystems: Databricks Lakehouse, Snowflake, MongoDB, Postgres, NoSQL (MongoDB, Redis, HBase), and at least one of AWS, Azure, or GCP. - Strong background in SQL, Spark SQL, Spark Streaming, distributed computing, and cloud-native architectures. - Knowledge of MLOps, GenAI solutions, and scalable production deployments is a plus. - Exceptional communication, technical writing, whiteboarding, and presentation skills. - Experience working with cross-functional teams and in customer-facing roles. - Willingness to travel (~30%) for conferences, events, and onsite customer engagements. Good-to-Have: - Experience delivering LLM/GenAI solutions at scale (RAG, prompt engineering). - Contributions to open source projects or active presence in developer communities. - Databricks or Snowflake certifications. - Experience founding, pitching, or advising startups. - Strong storytelling ability in both written and spoken mediums (blogs, talks, videos, webinars). Eligibility / Qualifications: - Education: Any Undergraduate (or) Postgraduate - Experience: 7- 20 Years