Senior Product Marketing Manager

ZoomInfo•Waltham, MA

68d•Hybrid

About The Position

We are seeking a Senior Product Marketing Manager to lead the execution and continuous improvement of our Market & Competitive Intelligence (MCI) program within the Product Marketing organization. This highly cross-functional role ensures ZoomInfo's Product, PMM, and GTM teams have timely, actionable intelligence to guide product positioning, launches, and field readiness. This is not a traditional CI role focused on static reports. This is a system role, where you will operate and enhance the systems, processes, and automation that power competitive and market insights: combining structured data, external research, and AI-driven tools to surface signal from noise at scale . You'll partner closely with Product Marketing, Enablement, Product Management, and RevOps to ensure our teams are informed, confident, and ahead of the market. A key expectation of this role is to apply AI and automation to scale intelligence gathering, synthesis, and activation. You will need to leverage large language models, knowledge graphs, and agent-driven workflows to make competitive insights continuously updated, contextualized, and actionable.

Requirements

You are a systems thinker who can design for scale, not just produce deliverables.
You combine product marketing instincts with a mindset for AI and automation.
You're as comfortable behind the data as you are in front of a room - leading live enablement sessions, storytelling with conviction, and helping sellers internalize our competitive edge.
You thrive in ambiguity and can turn scattered inputs into coherent strategy and action.
You are comfortable operating at multiple altitudes from executive narrative development to AI workflow design.
6-8+ years in Product Marketing, Competitive Intelligence, or Strategy within a B2B SaaS company.
Proven ability to design and scale intelligence systems, not just deliver manual research.
Hands-on experience using or building AI-powered tools for research (e.g., ChatGPT, Perplexity, Agentforce, or custom GPTs) and automation (e.g., Cursor, n8n).
Strong analytical and storytelling skills, with the ability to communicate insights to both executives and field teams.
Experience collaborating with Product, Enablement, and RevOps teams.

Nice To Haves

Familiarity with tools such as Crayon, Klue, Amplitude, Notion, and experience managing structured data systems or knowledge graphs.

Responsibilities

Market & Competitive Intelligence Strategy:
Maintain and evolve a repeatable process for collecting, organizing, and sharing market and competitor insights.
Define the taxonomy, frameworks, and guardrails for how we capture, structure, and disseminate intelligence.
Maintain a real-time, AI-powered view of competitors, categories, and market shifts that's integrated into product, pricing, and GTM decisions.
Integrate insights from analyst and research sources (e.g., Gartner, G2, Tegus, Alphasense) into our knowledge graph and internal systems.
Sales Enablement & Activation:
Partner with Sales Enablement to ensure competitive content like battlecards, positioning,and objection handling are continuously refreshed and data-backed.
Experiment with AI-based tools to automate updates, generate short summaries, or tailor competitive content for different segments.
Run training and update cycles for GTM teams to ensure confidence in competitive positioning and differentiation narratives.
Product & Marketing Intelligence Partnership:
Partner with Product Management to inform roadmap, packaging, and pricing decisions with timely, structured competitive insights.
Build automated workflows that monitor competitor feature launches, product page changes, pricing updates, and customer reviews.
Support Marketing and PMMs by contributing market insights to campaigns, launches, and messaging frameworks.
Translate insights into strategic recommendations for both near-term launches and long-term product differentiation.
Ad Hoc Intelligence & Stakeholder Support:
Act as the central intake point for intelligence requests from Product, RevOps, Enablement, and Marketing stakeholders.
Design and implement AI-powered self-service tools (e.g., competitive chatbots, dashboards, or Slack agents) to handle frequent and repeatable requests.
Collaborate with Analyst Relations and RevOps to align external and internal sources of intelligence.
Proactively identify and automate high-frequency intelligence workflows to reduce manual bandwidth needs.
Measurement & Continuous Improvement:
Define and report KPIs for intelligence system adoption and business impact, e.g., win-rate lift, usage of competitive materials, insight-to-decision speed.
Run quarterly retros on intelligence system performance and drive model-driven improvements.
Continuously experiment with new LLM-based workflows, signals, and tools to enhance intelligence accuracy and timeliness.