Senior AI Product Marketing Manager

New

JobgetherAI software modernization

Based in the United States; specifically open to candidates based in the Greater Seattle areaFull-TimeManager

Salary not disclosed

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Job Details

Languages: Excellent written and verbal English communication skills
Experience: At least 5 years of professional B2B product marketing experience in software, developer tools, or advanced technical services.
Required Skills: SalesforceHubSpotGenerative AI

Bachelor’s degree in Marketing, Computer Science, Business Administration, or a related technical field.
At least 5 years of professional B2B product marketing experience in software, developer tools, or advanced technical services.
Strong technical foundation to communicate with software engineers and cloud architects about application modernization, cloud migration, and modern software architectures.
Experience developing, validating, and maintaining TAM and market-sizing models, including pipeline analysis and deal intelligence.
Daily, hands-on proficiency with generative AI platforms such as ChatGPT and Claude, including building and orchestrating AI-driven workflows.
Experience creating sales enablement materials such as battlecards, pitch decks, demo narratives, and release-aligned collateral.
Experience using revenue intelligence and CRM platforms such as Gong, HubSpot, or Salesforce.
Experience operating within rapid product release cycles and managing ambiguity, shifting priorities, and competing deadlines.
Excellent written and verbal English communication skills, with strong editorial judgment for refining AI-generated content.
Strong analytical thinking and commercial judgment to translate technical complexity into business decisions and value propositions.
Ability to manage projects and priorities independently and align product, engineering, sales, and partner teams.
Must be physically located in the Greater Seattle area.

Build and maintain TAM models by source technology, tracking pipeline projections against market estimates.
Analyze customer call recordings and CRM data to identify objections, customer themes, buying signals, and opportunities.
Maintain competitive intelligence on application modernization vendors, coding tools, and internal modernization approaches, and create sales battlecards.
Refine the enterprise ICP monthly using win/loss analysis, market intelligence, and customer-facing team feedback.
Translate monthly product releases into positioning, messaging frameworks, seller talk tracks, and sales enablement materials.
Convert technical assessments into executive-ready business cases for IT leaders and budget owners.
Develop channel enablement briefs and collateral for partner account executives and technical specialists.
Coordinate AI agents to generate marketing and sales collateral, reviewing the output for quality and brand voice.
Partner with product, engineering, sales, and channel teams to align insights, capabilities, launch strategies, and commercial priorities.

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