What You'll Do

• Own AI Product Strategy and Vision - Develop and execute a strategic roadmap for AI research, messaging, and context capabilities. Your vision will guide how sales teams leverage AI to understand prospects deeply and engage them with relevance.
• Elevate AI Research - Enhance Apollo's AI research agents to surface actionable insights from the web pain points, buying signals, competitive intelligence, and account context. You'll focus on delivering research that helps reps lead with value, not generic personalization.
• Build Context Systems - Define how AI understands each user's business their personas, value propositions, target pain points, and competitive positioning. You'll build the context infrastructure that transforms generic AI outputs into relevant, business-aware recommendations.
• Transform AI Messaging - Own AI-powered messaging tools that create personalized, context-aware emails at scale. You'll improve response rates by ensuring AI matches each rep's authentic voice while incorporating research insights that resonate with prospects.
• Own AI Quality & Evaluation - Build and scale evaluation infrastructure across accuracy, relevance, clarity, and tone. Nothing ships without hitting quality thresholds. You'll spend time in production data reviewing real user conversations, identifying failure patterns, and turning them into systematic improvements.
• Collaborate Across Teams - Partner with engineering, design, prompt writers, and sales to deliver cohesive AI experiences. You'll work closely with domain experts to infuse GTM best practices into every feature and ensure AI outputs match what top performers would actually send.

What We're Looking For

• Proven AI Product Experience - 5+ years in product management, with 2+ years experience launching AI/ML new products and scaling existing products.
• Track record of shipping AI features that drove measurable business outcomes not just demos that looked good in meetings.
• Experience with LLM-powered applications, prompt engineering, evaluation frameworks, and model selection tradeoffs.
• Founder background is a plus.
• Technical Depth Without Engineering Hat - Comfortable working in Python/SQL to analyze data, prototype prompts, and evaluate outputs.
• Understanding of LLM architectures, RAG pipelines, agent frameworks, and inference optimization.
• Ability to have substantive technical conversations with ML engineers while keeping focus on user outcomes.
• Obsession with Quality Over Speed - You believe "ship fast" means nothing if users don't trust the output.
• You've built evaluation infrastructure not just shipped on vibes.
• You understand that AI adoption follows a trust curve, not a capability curve.
• GTM or Sales Tech Experience (Strongly Preferred) - Familiarity with sales workflows, prospecting tools, or CRM systems.
• Understanding of why sales teams are skeptical of AI tools and what it takes to earn their trust.
• Experience building for SMB users who want results, not complexity.

What Will Make You Successful at Apollo

• You're comfortable with ambiguity. AI product work means constant iteration what worked yesterday might not work tomorrow.
• You lead with data. Every product decision ties back to user behavior, evaluation scores, or business metrics.
• You're a hands-on builder. You prototype, you evaluate, you debug you don't just write PRDs and wait.
• You believe domain expertise beats technical sophistication. The best prompts come from sales experts, not engineers.
• You move fast without breaking trust. Speed matters, but not at the cost of shipping AI that makes users look foolish.