Technical Product Marketing Manager (B2B SaaS)

Growth Acceleration Partners•Seattle, WA

About The Position

Growth Acceleration Partners is seeking a Technical Product Marketing Manager to serve as the voice of the market and customer for an enterprise agentic application modernization platform. The role partners closely with Product Management and Engineering, translating market intelligence, customer insights, and competitive research into recommendations that inform product strategy, roadmap priorities, and feature development. The manager owns product positioning, competitive intelligence, Ideal Customer Profile (ICP) development, and Total Addressable Market (TAM) analysis. The role supports monthly release cycles, creates business-case narratives, and uses generative AI tools and agentic workflows to accelerate research and content development for enterprise sales teams and cloud partner channels. Candidates must be physically located and authorized to work in the Greater Seattle area.

Requirements

  • Bachelor’s degree in Marketing, Computer Science, Business Administration, or a related technical field.
  • Must be physically located and authorized to work in the Greater Seattle area.
  • At least 5 years of professional B2B product marketing experience for software, developer tools, cloud platforms, or advanced technical services.
  • Experience owning product positioning for technical products and translating complex capabilities into differentiated value propositions.
  • Experience conducting competitive and customer research that influenced product roadmap priorities, feature development, pricing, or packaging decisions.
  • Strong technical foundation and ability to communicate credibly with software engineers and cloud architects about legacy modernization and modern architectures.
  • Hands-on proficiency with generative AI platforms such as Claude or ChatGPT for research, analysis, and content workflows.
  • Quantitative capability in building, maintaining, and presenting TAM and market-sizing models.
  • Experience collaborating with Product Management, Engineering, and Sales teams, including developing product and sales enablement materials.
  • Ability to operate within rapid monthly release cycles and manage ambiguity and shifting priorities effectively.
  • Strong experience in several areas including product positioning and competitive intelligence; product strategy; quantitative modeling and TAM; revenue intelligence and CRM; GTM and sales enablement; modernization fundamentals; and AI and automation tools.
  • Advanced English proficiency, strong direct writing, and sound editorial judgment for refining AI-drafted copy.
  • Strong analytical acumen and commercial judgment to translate technical and market insights into business and product 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.

Nice To Haves

  • Experience in 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, or Delphi, and modern platforms such as .NET, Blazor, and Microsoft Azure.
  • Prior background in AI-driven software delivery, cloud migrations, developer platforms, or application modernization companies.
  • Experience transitioning from Product Management, Technical Product Management, Software Engineering, or Solutions Architecture into Product Marketing.
  • Experience orchestrating AI agents for competitive research, sentiment analysis, and content generation.

Responsibilities

  • Build and maintain TAM models by source technology and track pipeline projections against market models to inform executive and board-level strategy.
  • Conduct market, customer, and competitive research to identify opportunities, customer pain points, competitive gaps, and emerging trends.
  • Turn market intelligence, customer feedback, and competitive insights into recommendations for roadmap priorities, feature development, and pricing and packaging decisions.
  • Refine the enterprise Ideal Customer Profile using win/loss data, customer insights, and field feedback.
  • Own product positioning and messaging frameworks that explain the platform’s differentiation against modernization vendors, competing technologies, and internal development approaches.
  • Partner with Product Management and Engineering to understand technical capabilities, customer requirements, and upcoming releases, and ensure market insights inform product priorities.
  • Analyze customer call recordings and CRM data, including Gong and HubSpot, to identify recurring objections, themes, and buying signals that guide product and sales priorities.
  • Translate monthly release feature lists into messaging, product narratives, and seller talk tracks before launch dates.
  • Convert technical assessments into executive-ready business cases for IT leaders and budget owners, emphasizing risk reduction, cost savings, and speed.
  • Develop competitive battlecards and channel enablement materials for enterprise sales teams, partner account executives, and technical specialists.
  • Direct and orchestrate AI agents producing multi-channel collateral, applying editorial standards to avoid generic AI copy and maintain brand voice.
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