Head of Product – AI Agent Commerce Platform

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.

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.

What You’ll Do

1. 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

2. 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

3. 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

4. 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

5. 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 from bespoke deployments to reusable platform capabilities, APIs, integrations, and customer self-serve workflows

6. Build the brand and studio platform

Own the product layer that allows customers to configure, launch, monitor, and improve AI characters across channels.

Build customer-facing tools for persona design, campaign goals, memory controls, approval workflows, analytics, safety settings, moderation, and performance optimization.

Define the platform primitives needed for brand marketers, game studios, and UA/growth teams to deploy agents without requiring bespoke engineering every time.

Develop workflows for campaign setup, content review, escalation, reporting, permissions, auditability, and customer success operations.

Help the company move from high-touch service delivery to a scalable B2B product, with a path toward enterprise-grade capabilities.

7. Own trust, safety, and governance

Design the product systems that allow AI agents to represent brands safely at scale.

Own product requirements for brand safety, user safety, moderation, escalation, disclosure, privacy, memory retention, consent, auditability, and compliance.

Partner with engineering, legal, policy, and customers to reduce hallucinations, off-brand behavior, manipulation risk, regulatory exposure, and platform policy violations.

Build human-in-the-loop controls, review systems, safety evals, guardrails, and monitoring workflows that customers can trust.

Make trust, safety, and compliance core parts of the product offering - not afterthoughts.

8. Lead customer discovery and platformization

Work directly with design partners, brands, game studios, marketers, and UA/growth teams to identify repeatable use cases.

Support pilots and early enterprise conversations by clarifying customer needs, product gaps, buying objections, and success criteria.

Translate customer-specific deployments into reusable platform primitives, roadmap priorities, and product requirements.

Make hard tradeoffs between custom work, managed service delivery, and scalable platform investments.

9. Own product strategy, roadmap, and operating cadence

Own Saga’s product roadmap and company-wide product strategy in partnership with the CEO and founders.

Create the product operating cadence for prioritization, discovery, delivery, experimentation, measurement, and post-launch learning.

Bring structure to an early-stage company without slowing down the speed required to win.

Over time, help hire and lead product, design, research, and analytics talent as the company scales.

Who You Are

You understand social products deeply

Experience with consumer social, UGC, or engagement-driven platforms

Strong intuition for what drives retention, attachment, and habit formation

You’ve built AI-native products

Experience with LLMs, agents, or conversational systems

Comfortable working with model behavior, prompting, evals, and iteration loops

You have taste for “relationship dynamics”

You notice w