Responsibilities

• Build the commercial map: Conduct rigorous market research to define our TAM, SAM, and SOM across multiple AI agent verticals, ensuring our GTM efforts are focused on the highest-leverage opportunities.
• Own go-to-market strategy and execution for every product launch. Build the launch playbook from scratch, run it, improve it, repeat.
• Develop positioning and messaging frameworks that make complex AI infrastructure products clear and compelling to developers, enterprises, and early adopters.
• Write first-draft content — blog posts, landing pages, launch briefs, case studies — then coordinate with writers and cross-functional partners to refine.
• Drive top-of-funnel growth and qualified lead generation. You’re measured on pipeline impact, not just “brand awareness.”
• Be the connective tissue between Product, Engineering, BD, and the market. You translate what we’re building into why anyone should care.
• Use AI tools in your daily work. We’re an AI company — we expect you to use AI to move faster, draft better, and think bigger. If you’re not already using LLMs to accelerate your workflows, this isn’t the right fit.
• This role is based in San Francisco and requires being onsite at least 3 days a week.

Requirements

• Strategic & Analytical: You have a proven track record of moving from broad market research to specific TAM/SOM modeling, using those insights to architect GTM strategies that actually move the needle on revenue.
• You’ve used LLMs to accelerate market sizing or competitive intelligence, e.g., automating TAM sizing, developing lead lists, synthesizing thousands of developer forum posts, or analyzing competitor pricing pages at scale.
• 6-10 years of product marketing experience, ideally at B2B SaaS and/or AI-focused companies.
• You’ve built launch processes from scratch — not just followed someone else’s template.
• Strong writing chops. You can produce a solid first draft of a blog post, landing page, or launch brief without waiting for a copywriter.
• Comfortable with technical products. You don’t need to write code, but you can read docs, talk to engineers, and translate features into customer value.
• High initiative and comfort with ambiguity. You don’t wait to be told what’s next.
• You actively use AI tools in your work and are excited to push the boundaries of what’s possible with them.
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Preferred

• Experience with developer tools, infrastructure, or platform products.
• Familiarity with crypto/Web3 ecosystems (but not required — AI and SaaS experience matters more).
• Experience in a consumer + B2B hybrid product environment.