Product Marketing Lead

Responsibilities

• Positioning & Category Creation
• Define and evolve our product positioning and category narrative. Help customers understand what open post-training infrastructure makes possible, why they need it, and why Prime Intellect is the right partner.
• Turn technical capabilities into clear messaging for developers, AI teams, and the people making buying decisions. Build the core narrative for Prime Intellect's Open SuperIntelligence Stack and the Model Factory offering via product pages and use-case stories that connect our long-term ambition to problems customers have today.
• Customer Learning & Product Strategy
• Build a regular practice of customer interviews, sales-call participation, and win/loss analysis. Learn how customers describe their problems, what triggers a buying decision, and where our story falls short.
• Test and revise messaging based on what you hear and what moves opportunities forward. Bring those insights to Product, Engineering and Applied Research to sharpen target use cases, inform packaging, and help distinguish repeatable needs from one-off requests.
• Launches & Sales Enablement
• Own product launches from positioning and audience selection through launch content, seller readiness, and follow-through. Work with Marketing and Sales to turn each launch into relevant customer conversations and qualified opportunities.
• Build the materials sellers need to win: pitch decks, demos with technical partners, competitive guidance, objection handling, and customer proof. Stay close to live opportunities, join calls when useful, and keep improving the materials based on how customers respond.
• Customer Proof & A Repeatable PMM Practice

Requirements

• 8+ years of product marketing or closely related experience, including substantial experience marketing technical products built for developers, engineers, or AI teams.
• Experience taking a product or product marketing function from zero to one. You've built positioning, launches, and sales materials when the audience, category, or playbook was still being defined.
• A track record supporting a sales-led motion. You've worked directly with sellers and technical partners on real opportunities, and can point to messaging and materials that helped customers make a buying decision.
• Strong customer research instincts. You can show how customer conversations changed your positioning, challenged an assumption, or led you to focus on a different use case.
• Technical fluency and curiosity. You can learn a complex product, explain how it works, and earn credibility with developers and researchers while making its value clear to a business buyer.
• Excellent writing and strong editorial judgment. You can turn a dense technical discussion into a clear story without losing what makes the product distinctive.
• Demonstrated, hands-on use of AI tools and agents in your work. We'll ask you to show us how you work.
• Comfort with ambiguity and a bias toward shipping. You can choose what matters, produce a strong first version, and improve it as evidence comes in.

Preferred

• Experience with AI/ML infrastructure, post-training, reinforcement learning, evaluations, or agent platforms.
• Experience helping define an emerging category or repositioning a technical product as the product and market evolved.
• A technical background, hands-on product experience, or experience building a customer advisory or design-partner program.

Benefits

• Competitive cash compensation and meaningful equity
• Visa sponsorship and relocation support
• Professional development budget
• Team off-sites and conference attendance
• The opportunity to help shape the market for open AI infrastructure