Technical Product Marketing Manager – B2B SaaS

This is a fully remote position, open to applicants in Washington.

📋 Description

• Act as the representative of the market and customer for an enterprise agentic application modernization platform.

• Convert market intelligence, customer feedback, and competitive analysis into recommendations that shape product strategy, roadmap priorities, and feature development.

• Oversee product positioning, competitive intelligence, Ideal Customer Profiles (ICP), and Total Addressable Market (TAM) analysis.

• Facilitate monthly release cycles and craft business-case narratives.

• Utilize generative AI tools and agentic workflows to expedite research and content creation.

• Create and uphold TAM models categorized by source technology and monitor pipeline projections against market models.

• Perform market, customer, and competitive analysis to discover opportunities, pain points, competitive voids, and emerging trends.

• Enhance the enterprise ICP using win/loss data, customer insights, and feedback from the field.

• Manage positioning and messaging frameworks that set the platform apart from modernization vendors, competing technologies, and internal development methods.

• Collaborate with Product Management and Engineering to integrate market insights into product priorities.

• Analyze Gong and HubSpot customer call recordings and CRM data for objections, themes, and buying signals.

• Transform monthly release feature lists into messaging, product narratives, and seller talk tracks.

• Convert technical assessments into executive-level business cases that highlight risk reduction, cost savings, and speed.

• Develop competitive battlecards and materials for channel enablement.

• Lead and coordinate AI agents in generating multi-channel collateral while ensuring editorial quality and brand voice.

⛳️ Requirements

• Bachelor’s Degree in Marketing, Computer Science, Business Administration, or a related technical area.

• Must be physically located and authorized to work in the Greater Seattle area.

• Over 5 years of professional B2B product marketing experience in software, developer tools, cloud platforms, or advanced technical services.

• Proven experience managing product positioning for technical products and translating complex capabilities into distinct value propositions.

• Demonstrated ability to conduct competitive and customer research that has influenced product roadmap priorities, feature development, pricing, or packaging decisions.

• Strong technical background with the capacity to communicate effectively with software engineers and cloud architects regarding legacy modernization and modern architectures.

• Hands-on experience with generative AI platforms such as Claude and ChatGPT.

• Proven quantitative skills in building, maintaining, and presenting Total Addressable Market (TAM) and market-sizing models.

• Demonstrated experience working with Product Management, Engineering, and Sales teams, including the development of product and sales enablement materials.

• Proven capability to function within rapid monthly release cycles, effectively managing ambiguity and shifting priorities.

• Strong expertise in product positioning, competitive analysis, market research, customer insights, product differentiation, product strategy, quantitative modeling and TAM, revenue intelligence and CRM, GTM and sales enablement, modernization fundamentals, and AI and automation tools.

• Advanced English proficiency with concise, direct writing and excellent editorial judgment.

• Strong analytical skills and commercial acumen.

• High level of autonomy and organizational discipline.

• Exceptional interpersonal and stakeholder communication abilities.

• Nice to have: Experience with the Microsoft partner ecosystem, familiarity with legacy applications and modern platforms, background in AI-driven software delivery or cloud migration, transition from Product Management, Technical Product Management, Software Engineering, or Solutions Architecture, and experience in orchestrating AI agents.

🏝️ Benefits

• Investment in education.

• Onsite English classes.

• Training in the latest technologies, including AI, data analytics, and machine learning.

• Remote work arrangement.