Head of Product - AI Agent Commerce Platform

About the role

We're looking for a Head of Product to define and scale Saga's character AI platform-starting with social-first agents and expanding into multi-platform experiences. You'll operate at the intersection of: AI systems (LLMs, agents, memory, evals) Social products (engagement loops, identity, relationships) Interactive experiences (games, persistent worlds) Developer platforms (APIs, tools, distribution) B2B SaaS and enterprise workflows for brands, studios, marketers, and growth teams Trust, safety, compliance, moderation, and brand governance for AI agents operating at scale Growth, user acquisition, campaign performance, conversion funnels, and measurable customer ROI You'll help answer a core question: What makes an AI character feel like someone, not something-and how does that scale? You will also help answer the commercial version of that question: How do AI-native characters safely create relationships that drive measurable business outcomes for studios and consumer brands? You will own Saga's product strategy across the company, own the product roadmap, report to the CEO, and partner closely with engineering, design, GTM, customer success, and external design partners. Over time, you will help build the product operating system and product function for the company.

Responsibilities

• Define relationship-first product strategy
• Design how AI characters form and maintain ongoing relationships with users
• Shape interaction models across social platforms (content, replies, DMs, presence)
• Identify what drives retention, attachment, and repeat engagement
• Translate relationship quality into measurable customer outcomes: engagement, community growth, user acquisition, conversions, revenue impact, and long-term fan value
• Define which use cases Saga should serve first across brand marketing, gaming, social engagement, and UA/growth teams
• Build AI-native character systems
• Own core primitives: memory, personality, continuity, voice
• Design how characters evolve over time and across contexts
• Partner with engineering on agent architecture and iteration cycles
• Turn loose AI behavior into scalable product primitives that customers can configure, evaluate, and trust
• Define how character memory, persona, tone, goals, boundaries, and campaign context should work across channels
• Drive product iteration & evaluation
• Define what "good" looks like for a relationship with an AI character
• Build evaluation frameworks combining:
• engagement metrics (retention, depth of interaction)
• qualitative signals (believability, emotional resonance)
• Rapidly iterate based on real user behavior
• Build the measurement stack for character quality, commercial performance, and customer ROI
• Define and improve KPIs including conversation depth, repeat interaction, retention, campaign performance, conversion funnels, downloads, purchases, subscriptions, and cost-effective UA
• Create experimentation and analytics systems that show which characters, behaviors, campaigns, and channels are working
• Lead social & content dynamics
• Shape how characters behave on platforms (posting, responding, initiating)
• Balance content creation vs. interaction
• Understand and leverage platform-specific dynamics (e.g., feed vs. DM vs. comments)
• Define platform-specific playbooks for how agents should acquire attention, deepen relationships, route users toward actions, and avoid off-brand or unsafe behavior
• Partner with customers and internal teams on campaign strategy, content loops, creator/IP dynamics, and social distribution mechanics
• Evolve into a multi-platform system
• Translate social-first learnings into game and interactive environments
• Define how characters persist across surfaces and contexts
• Help build a platform for studios and developers over time
• Define how agents move from social surfaces into games, websites, communities, apps, and interactive worlds while preserving memory, identity, and user context
• Develop the product path fr

Additional Information

About Saga AI Labs Saga is building a new category: AI-native characters that form synthetic relationships with people across digital platforms . Agents on our B2B2C platform appear as AI-native characters across social platforms, where they create content, respond to fans, build ongoing relationships, and drive measurable outcomes - from community growth and user acquisition to downloads, in-game purchases, subscriptions, sales, and long-term engagement. We believe the next generation of brand and game interaction will not be static content or one-off campaigns. It will be persistent AI characters that know their audience, remember context, evolve over time, and move across social, games, and interactive worlds. We are an early-stage team building with design partners in gaming, entertainment, and consumer brands. The product is moving from social-first AI character deployments toward a repeatable platform that brands and studios can launch, manage, measure, and scale.

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