Lead Product Manager, AI (MarTech)

Docusign; Bengaluru; Hybrid; INR 3.000.000 - 6.500.000; Vollzeit

Zusammenfassung

DocuSign is seeking a P5 Lead Product Manager Analyst AI for Marketing and Prospecting to define agent-enabled workflows and business outcomes. You’ll translate business problems into agent capabilities and design end-to-end workflows across enterprise systems with triggers, context, actions, and escalation paths.

You will lead collaboration with engineering, ML, and platform teams, define guardrails, and establish success metrics and learning loops for these experiences.

Qualifikationen

• 6+ years of product management experience, including AI/ML products and automation systems.
• Hands-on builder mindset with ability to use model APIs and simple code to prototype.
• Proven track record from opportunity to prototype, launch, and measurable impact.

Aufgaben

• Identify high-value problems for business development, sales and account executives where an agent can save time, reduce effort, and take useful action.
• Be data-savvy, crunch funnel metrics, and pipeline performance to determine high-value use cases for agentification.
• Influence senior leaders on which use cases to automate and how to prioritize them for impact.
• Understand intent signals, prospecting signals, propensity scores, and next best recommendations to determine execution strategies.
• Evaluate new capabilities from model providers and translate them into concrete product bets.
• Build prototypes using models, agent frameworks, tools, and lightweight interfaces to test usefulness and trust.
• Partner with engineering, ML, design, and platform teams to scale prototypes into product experiences.
• Shape memory, context, orchestration, and human handoff in prospecting journeys.
• Define safe patterns for agents with explanations, approvals, visibility, and recovery paths.

Kenntnisse

Product management

AI/ML

Automation

Developer tools

Prototyping

Python/TypeScript

Tools

Model APIs

Agent tooling

Jobbeschreibung

Job Summary

As a P5 Lead Product Manager Analyst AI for Marketing and Prospecting, you own Agent Use Case Definition Business Outcomes by identifying high-impact business workflows. You define technically viable agent requirements and translate business problems into clearly defined agent capabilities feasible within the enterprise tech stack. For Applications Workflow Design Orchestration, you define the end-to-end workflow an agent will perform across enterprise systems, specifying triggers, context, actions, and escalation paths. You handle Collaboration, Value measurement, and Continuous improvement by defining success metrics, tracking outcomes, and refining agent behaviors based on operational feedback. Finally, you manage Autonomous Boundaries and Safety by determining the extent of agent autonomy, defining guardrails, approval checkpoints, and the human-in-the-loop model.

This position is an individual contributor role reporting to the Director, Martech Prospecting Applications.

Responsibilities

• 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
• Influence senior leaders and cross-functional teams on use cases we should automate, what to build first, and how to stay at the forefront of this space
• Understand intent signals, prospecting signals, propensity scores, next best recommendations etc to determine the best execution strategies for prospecting
• Evaluate rapidly new capabilities from model providers, tooling ecosystems, and internal platforms, and translate them into clear product bets
• Build scrappy but convincing prototypes using available models, agent frameworks, tools, and lightweight interfaces to test usefulness, trust, and feasibility
• Partner with engineering, ML, design, and platform teams to turn promising prototypes into scalable product experiences
• Shape how memory, context, orchestration, permissions, and human handoff should work in prospecting journeys
• Define safe patterns for agents that take action, including clear explanations, user approvals, visibility into what the agent is doing, and recovery paths when things go wrong
• Establish success metrics, launch criteria, and learning loops for these experiences, balancing ambition with trust, reliability, latency, and cost

Job Designation

Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: 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. Preferred job designations are not guaranteed when changing positions within DocuSign. DocuSign reserves the right to change a positions job designation depending on business needs and as permitted by local law.

What you bring

Basic

• 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
• Proven track record of taking new product areas from ambiguous opportunity to strategy, prototype, launch, and measurable impact

Preferred

• 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 control. Strong 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
• Excellent written and verbal communication skills, with the ability to create clarity and alignment across senior cross-functional stakeholders
• Strong Data Analysis, Data Science and engineering skills

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. If you experience any issues during the application process, please get in touch with our Talent organization for assistance.