Technical Product Manager
4 hours ago
Key Responsibilities:
- Define and execute the product vision, strategy, and AI-driven roadmap aligned with company goals.
- Conduct customer research, competitive analysis, and market assessments to identify opportunities and prioritize features.
- Translate business needs and user insights into BRDs, PRDs, user stories, workflows, and detailed acceptance criteria.
- Collaborate with engineering and data science teams to design scalable, cloud-native AI/ML product architectures focused on performance, security, and reliability.
- Work with modern AI tools and frameworks including LLMs (GPT, Claude, Llama, Mistral), LangChain, RAG pipelines, vector databases (Pinecone, Chroma, Weaviate), Hugging Face, and MLOps platforms.
- Manage the full product lifecycle from concept to design, development, testing, launch, and ongoing iteration.
- Oversee multiple AI/ML initiatives in parallel, ensuring timely delivery, quality, and alignment with KPIs.
- Utilize product and project management tools such as Jira, Azure DevOps, Confluence, Asana, Trello, and for planning and execution.
- Facilitate collaboration across engineering, data science, UX, DevOps, compliance, and business teams to drive clarity and alignment.
- Maintain detailed project timelines, sprint plans, dependency tracking, risk mitigation strategies, and release schedules using Agile/Scrum methodologies.
- Support model evaluation efforts, A/B testing, telemetry analysis, and performance monitoring of AI systems in production.
- Ensure documentation quality, security compliance, and adherence to AI governance and ethical standards.
Requirements:
- 6+ years of combined experience as a Technical Product Manager, Technical Program Manager, Product Owner, or similar role.
- Proven experience defining, building, and launching scalable AI, ML, or SaaS products.
- Strong technical understanding of LLMs, embeddings, RAG architectures, vector stores, MLOps workflows, and cloud-native engineering.
- Demonstrated ability to create high-quality BRDs, PRDs, user stories, and technical requirements.
- Experience partnering with engineering and data science teams to deliver production-grade AI/ML solutions.
- Expertise with cloud platforms such as AWS, Azure, or GCP; familiarity with tools like SageMaker, Vertex AI, or Azure ML.
- Experience with CI/CD pipelines and orchestration tools such as Airflow, Kubeflow, MLflow, or similar.
- Familiarity with modern data ecosystems such as Databricks, Snowflake, BigQuery, or Redshift.
- Excellent communication, stakeholder management, and cross-functional leadership skills.
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.
- Preferred experience in fast-paced or greenfield AI environments, including scaling early-stage AI teams or product lines.
Job Type: Full-time
Pay: Rs350, Rs450,000.00 per month
Application Question(s):
- How many years of experience do you have in Technical Product Management or Technical Program Management?
- Do you have hands-on experience working with AI/ML products, LLMs, or RAG-based architectures?
- Which cloud platforms have you used professionally (AWS, Azure, GCP)?
- Current Salary
- Desired Salary
- Notice Period Duration
Work Location: Remote
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