Lead Product Manager - AI; Marketing & Prospecting
Listed on 2026-02-28
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IT/Tech
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Business
Company Overview
Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business‑critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity.
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 Lead Applications Product Manager for Martech & Prospecting, you own critical marketing and prospecting application capabilities that sit across customer journeys, data foundations, and execution platforms. You operate as the primary product lead for high‑impact initiatives, driving an AI roadmap across Lead management, LCM business processes, Campaign and Journey management, audience management, and prospecting business processes. You will influence funnel health, pipeline quality, and operational stability across marketing and sales development teams.
This role requires fast context building, strong partnership with business and technical teams, hands‑on experience developing AI strategies and roadmap for the business, and hands‑on ownership from problem definition through delivery. You are accountable for prioritization, outcomes, and execution across complex, cross‑team programs.
This position is an individual contributor role reporting to the Director, Martech & Prospecting Applications.
Responsibility- Own the product strategy and roadmap for core Mar Tech platforms, including Customer Data Platform (CDP), customer identity, and segmentation capabilities that power campaigns and lifecycle programs
- Lead product discovery and delivery of high‑impact use cases using GenAI and agent‑based approaches across Mar Tech, lifecycle workflows, and lead management, including inbound and outbound prospecting
- Drive AI‑led optimization of campaign and marketing operations workflows, including early agent‑based experiments supporting Marketing Ops, Campaign Ops, and prospecting teams
- Own intelligent audience‑building capabilities, including rule engines, playbooks, and segmentation logic used across marketing and go‑to‑market teams
- Own the roadmap and delivery of an enterprise Customer Identity Graph, enabling a unified customer view used across the company for segmentation, personalization, compliance, and measurement use cases
- Own the integration of executive event data into Salesforce to support lead routing, attribution, and performance tracking across go‑to‑market motions
- Demonstrate strong understanding of transactional messaging platforms and their downstream impact on lifecycle marketing, customer communications, and scaled engagement
- Own journey orchestration foundations, including onboarding and adoption flows across channels
- Drive User 360 and contextual intelligence capabilities to support targeting, routing, prioritization, and real‑time decisioning
- Stabilize and ensure continuity in campaign execution, data integrity, and reporting within the existing SaaS tech stack
- Partner closely with Marketing, Prospecting, LCM, and Scaled Customer teams to understand workflows, pain points, and priorities
- Partner with Sales Development teams to understand inbound and outbound prospecting and lead workflows, SDR and MDR playbooks, inbound and outbound motions, and improvement opportunities
- Translate business problems into clear product features and larger transformation initiatives grounded in data and expected impact
- Act as the primary product interface for stakeholders, reducing ad‑hoc pull on engineering and data teams
- Use funnel and pipeline metrics to guide decisions, including MQL, SQL, SQO, conversion rates, attribution, and velocity
- Define success metrics upfront and track outcomes post‑launch
- Partner with Data teams on contact and account data quality, definitions, and measurement alignment
- Break large initiatives into sequenced,…
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