Lead Product Manager - Marketing Technology & AI (Martech)

Docusign • San Francisco, CA

1d • Hybrid

About The Position

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 agentic 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.

Requirements

• 12+ years of product management experience, ideally in B2B SaaS environments
• Experience with marketing and prospecting workflows, including campaigns, journeys, audiences, lead routing, and lifecycle management
• Experience with funnel and pipeline metrics and how marketing and sales teams use them
• Experience working across complex, cross-functional environments with many stakeholders
• Experience delivering GenAI and agent-based use cases for Marketing and Prospecting teams
• Experience with MarTech stacks such as Eloqua, Iterable, Salesforce, consent and preference data sources, data brokers like Lusha and Clay, campaign platforms, data pipelines, experimentation tools, agent-based platforms such as Crew, and outreach platforms like Outreach
• Experience partnering closely with Data teams on master data, identity, and measurement alignment

Nice To Haves

• Ability to ramp quickly, ask the right questions, and bring structure to ambiguous problem spaces
• Track record of leading large, multi-quarter initiatives while continuing to ship incremental value

Responsibilities

• Own the product strategy and roadmap for core MarTech 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 MarTech, 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 ensuring 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, shippable milestones with clear ownership
• Align dependencies across MarTech, Data, Salesforce, and platform teams
• Balance net-new capabilities with stabilization, scale, and operational health
• Drive clarity on scope, tradeoffs, and timelines across stakeholders

Benefits

• Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
• Stock: This role is eligible to receive Restricted Stock Units (RSUs).
• Paid Time Off: earned time off, as well as paid company holidays based on region
• Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
• Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
• Retirement Plans: select retirement and pension programs with potential for employer contributions
• Learning and Development: options for coaching, online courses and education reimbursements
• Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed