Senior AI Product Marketing Manager

Growth Acceleration Partners•Seattle, WA

About The Position

Growth Acceleration Partners (GAP) is seeking a Senior AI Product Marketing Manager to serve as the voice of the market and customer for an enterprise agentic application modernization platform. The role partners with engineering and product teams on a monthly release cycle, translating technical capabilities into go-to-market strategies. It owns total addressable market sizing, competitive intelligence, ideal customer profiles, and business-case narratives. The manager uses generative AI tools and agentic workflows to synthesize market signals into stories and materials for direct sales teams and cloud partner channels. This role is open exclusively to candidates based in the Greater Seattle area who are authorized to work there. GAP is a consulting and technology services company founded in 2007, with 600+ English-speaking engineers in Latin America and approximately 20 U.S.-based engineers. It is woman-owned and headquartered in Austin, Texas, and focuses on customer and employee success. The company invests in employee education, onsite English classes, and training in technologies including AI, data analytics, and machine learning.

Requirements

  • Bachelor’s degree in Marketing, Computer Science, Business Administration, or a related technical field.
  • Must be physically located in and authorized to work in the Greater Seattle area.
  • At least 5 years of professional B2B product marketing experience for software, developer tools, or advanced technical services.
  • Strong technical foundation and ability to communicate credibly with software engineers and cloud architects about legacy modernization and modern architectures.
  • Daily hands-on proficiency with generative AI platforms such as Claude and ChatGPT to build, manage, and orchestrate agent-driven research and content workflows.
  • Demonstrated quantitative capability building, defending, and maintaining TAM and market-sizing models.
  • Track record of producing sales enablement materials with verified adoption across active enterprise sales teams.
  • Ability to work within rapid monthly release cycles and manage ambiguity and shifting priorities.
  • Advanced English proficiency, sharp and direct writing, and strong editorial judgment for refining AI-drafted copy.
  • Strong analytical acumen and commercial judgment to calibrate technical detail to business decisions.
  • High autonomy, organizational discipline, and comfort with fast-paced monthly delivery cadences.
  • Strong interpersonal and stakeholder communication skills to align product, engineering, sales, and partner teams.
  • Experience building and defending TAM models, tracking pipeline, and analyzing deal intelligence data.
  • Experience extracting actionable buyer signals from revenue intelligence platforms such as Gong, HubSpot, or Salesforce.
  • Experience developing sales battlecards, pitch decks, demo narratives, and release-aligned collateral packages.
  • Strong understanding of application modernization concepts, cloud migration pathways, and developer platforms.

Nice To Haves

  • Experience within the Microsoft partner ecosystem, including co-sell motions, Azure Marketplace, ACR growth, and Azure Technical Specialist enablement.
  • Familiarity with legacy application environments such as VB6, WinForms, WebForms, Access, PowerBuilder, Clarion, and Delphi, and modern platforms such as .NET, Blazor, and Microsoft Azure.
  • Prior background in AI-driven software delivery, cloud migrations, or developer platforms.

Responsibilities

  • Build and maintain comprehensive TAM models by source technology, and track pipeline projections against market models to inform executive and board-level strategy.
  • Analyze customer call recordings and CRM data, including Gong and HubSpot, to identify recurring objections, themes, and buying signals that inform product and sales priorities.
  • Maintain a competitive intelligence repository covering modernization vendors, coding tools, and internal approaches, and translate findings into sales battlecards.
  • Refine the enterprise Ideal Customer Profile monthly using win/loss data and field feedback.
  • Translate monthly release feature lists into positioning, messaging frameworks, and seller talk tracks delivered before launch dates.
  • Turn complex technical assessments into executive-ready business cases for IT leaders and budget owners, emphasizing risk reduction, cost savings, and speed.
  • Develop channel enablement briefs and collateral for partner account executives and technical specialists supporting co-sell and marketplace motions.
  • Direct and orchestrate AI agents to generate multi-channel collateral while applying editorial standards to remove generic AI copy and maintain brand voice.
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