Senior Product Manager AI & ML in Bengaluru, India - Jobeax
Vacancy description
Senior Product Manager AI & ML in Bengaluru, India
docusign women in sales
RemoteWork from anywhere
HybridMix of office and remote
On-siteWork from the office
ContractFixed-term or freelance
India, Bengaluru
Senior Product Manager AI & ML in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Using Docusign's Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM). As a P4 AI Product Manager Analyst for Marketing, you own Agent Use Case Definition & Business Outcomes by identifying high-impact business workflows. Identify the highest-value problems for business development, sales and account executives where an agent can save time, reduce effort, and take useful action Be very savvy with data, crunch the current state funnel metrics, and pipeline performances to determine the highest value use cases to agentify Partner with engineering, ML, design, and platform teams to turn promising prototypes into scalable product experiences Establish success metrics, launch criteria, and learning loops for these experiences, balancing ambition with trust, reliability, latency, and cost Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Minimum 2 days per week; may vary by team but will be weekly in-office expectation) Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law. 6+ years of product management experience, including meaningful work on AI/ML products, automation systems, developer tools, platforms, or other technically sophisticated products.
Hands-on builder mindset, with the ability to use model APIs, agent tooling, and simple code in Python or TypeScript/JavaScript to create or guide working prototypes
Experience building assistants, agents, copilots, or AI products that use tools to complete tasks
Familiarity with memory, tool calling, browser or computer use, voice, multimodal interaction, or agent orchestration Background in software engineering, ML, data science, or a similarly technical field Strong point of view on when an agent should act autonomously, when it should ask for permission, and how to keep users in controlStrong technical fluency and comfort working at the boundary of product and engineering and be able to reason about APIs, orchestration, data flows, permissions, latency, and failure modes Strong judgment in trust-sensitive experiences, including transparency, control, privacy, and reliability Strong Data Analysis, Data Science and engineering skills Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. Accommodation Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at [HIDDEN TEXT]. If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at [HIDDEN TEXT] for assistance.
... years of Product Management experience.- 2+ years of hands-on experience working with AI/ML/GenAI products.- Experience taking an AI product from idea to MVP to production to optimisation.- Strong analytical and data-driven approach.- Strong understanding of LLMs, Generative AI, AI agents, RAG, function calling, AI evaluation, ...
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... estimated cost, time, and quality within planned scope. Covers management of risks that affect the delivery of project outcomes. Lead the full project lifecycle for AI/ML and GenAI initiatives — scoping, planning, resourcing, execution, and closure — using Agile, Scrum, or hybrid methodologies. Manage cross-functional squads ...
As an AIML Engineer, you will be responsible for designing, developing, and deploying AI-powered applications and agentic AI solutions leveraging Python, LangChain, LangGraph, LLMs, RAG, Oracle Database 23c/26ai, and Oracle APEX. You will work closely with cross-functional teams to build scalable AI solutions that integrate ...
As an AIML Engineer, you will be responsible for designing, developing, and deploying AI-powered applications and agentic AI solutions leveraging Python, LangChain, LangGraph, LLMs, RAG, Oracle Database 23c/26ai, and Oracle APEX. You will work closely with cross-functional teams to build scalable AI solutions that integrate ...
As an AIML Engineer, you will be responsible for designing, developing, and deploying AI-powered applications and agentic AI solutions leveraging Python, LangChain, LangGraph, LLMs, RAG, Oracle Database 23c/26ai, and Oracle APEX. You will work closely with cross-functional teams to build scalable AI solutions that integrate ...
... Azure, GCP) and MLOps tools. - Familiarity with vector databases, RAG pipelines, and LangChain or similar frameworks. - Proven track record of delivering Gen AI solutions in production. - Master's in Computer Science, AI/ML, or related field. Experience in domain-specific Gen AI applications (e.g., Experience - 5 + Years ...
... automation, machine learning or generative AI, rather than applying AI by default. Commitment to continuous learning in data, AI, cloud engineering and the maritime domain. Reliable, maintainable and well-tested data and AI workflows that improve product quality and team efficiency. Clear evidence that AI-assisted outputs are evaluated, ...
... regulatory domains Familiarity with MLOps tooling (MLflow, Docker, Kubernetes, Azure DevOps or GitHub Actions) Hands-on experience with agentic AI frameworks (LangChain, LlamaIndex, Semantic Kernel), LLM evaluation tooling, and production deployment of GenAI applications Knowledge of responsible AI practices, including fairness, ...
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