Technical Product Marketing Manager (AI)

TL;DR

Technical Product Marketing Manager (AI): Bringing developer-facing API, data, and infrastructure products to market with an accent on positioning, messaging, go-to-market strategy, and technical product understanding. Focus on designing AI-agent discoverability programs, analyzing adoption and competitive data, and enabling sales teams to drive pipeline and revenue.

Location: Hybrid position based in New York City or San Francisco, United States

Company

hirify.global develops developer-facing products and technical solutions for data and infrastructure use cases.

What you will do

• Own product positioning, messaging, and technical accuracy across marketing channels.
• Plan and execute go-to-market strategies, launches, pricing, packaging, and promotional initiatives.
• Gather market, customer, competitive, funnel, adoption, and win/loss insights to guide strategy and product priorities.
• Develop documentation, content, and integrations that improve product discoverability and selection by AI agents.
• Equip sales and customer-facing teams with enablement content, tools, and product knowledge.
• Write product pages, launch materials, technical comparisons, and other marketing content while contributing to campaigns, partnerships, and thought leadership.

Requirements

• 5+ years of experience in product marketing or technical marketing, preferably for API-first, data, infrastructure, or developer tools products.
• Proven experience bringing technical products to market and coordinating cross-functional programs with Product, Sales, Growth, and Developer Relations teams.
• Technical fluency in software development lifecycles, developer tool evaluation and adoption, AI ecosystems, coding agents, and modern coding environments.
• Strong English writing skills required for clear, concise, and precise technical and business communication.
• Analytical mindset with comfort using funnel metrics, adoption data, and win/loss analysis.

Nice to have

• Hands-on development experience or a current or former developer background.
• Experience with AI/ML data ecosystems, including training data, RAG, agents, or MCP.
• Experience with both self-serve product-led growth and enterprise sales motions.

Culture & Benefits

• Hands-on role with direct influence on revenue KPIs, product roadmap, and priorities.
• Cross-functional collaboration across Product, Sales, Growth, Developer Relations, channels, and partners.
• Hybrid work arrangement based in New York City or San Francisco.