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 when interactions feel authentic vs. mechanical
You think about tone, timing, memory, and emotional continuity
You care about how users feel—not just what they do

You think in systems

Naturally reason about memory, state, constraints, and failure modes
Can turn messy AI behavior into structured, scalable primitives

You’re technical enough to go deep

Can partner closely with engineering on architecture and tradeoffs
Bonus: prior engineering background or highly technical PM experience

You thrive in early-stage environments

Comfortable with ambiguity and fast iteration
Can add structure without killing speed

You are a growth/product/business operator, not just a character AI thinker

You know how to connect user behavior, product quality, customer value, and revenue impact.
You are comfortable owning KPIs such as engagement, retention, UA efficiency, conversion rate, campaign ROI, downloads, purchases, subscriptions, and customer expansion.
You can balance product vision with the discipline required to build a B2B platform customers will buy, trust, and renew.

You understand B2B customers and enterprise buying dynamics

You can work with brand marketers, game studios, UA/growth teams, community teams, and executive stakeholders.
You understand the difference between a compelling demo, a successful pilot, and a repeatable product customers can adopt at scale.
You can support customer discovery, pilot design, roadmap tradeoffs, pricing/packaging input, and GTM learning.

Bottom line: You’re fascinated by how people form attachments—to creators, characters, or even ideas—and you’ve thought deeply about how that translates into product

Must-Have Experience

Built AI-native, data-driven, technical, or highly ambiguous products.
Experience at social platforms (TikTok, Instagram, Reddit, etc.).
Strong product judgment around user behavior, engagement loops, retention, and growth.
Ability to work deeply with engineering on systems, architecture, tradeoffs, evals, and constraints.
Experience translating customer needs into platform primitives and repeatable workflows.
Ability to operate in a zero-to-one startup environment where strategy, execution, customer learning, and product process all need to happen at once.

Nice-to-Have Experience

Enterprise SaaS, marketing technology, customer engagement, CRM, community, or growth platforms.
AI companions, chatbots, character AI, conversational agents, or agentic systems.
Gaming, interactive storytelling, game publishing, community management, UA, or live operations.
Consumer social platforms, creator economy, UGC, influencer marketing, or social distribution.
Developer tools, APIs, integrations, analytics platforms, or self-serve customer tooling.

Bonus (but not required)

Experience with AI companions, chatbots, or character-based products
Background in gaming or interactive storytelling
Founder or early-stage startup experience
Experience with brand marketing, game publishing, UA/growth, customer engagement, or enterprise SaaS
Experience building analytics, attribution, experimentation, moderation, or compliance products

What Success Looks Like (First 6 Months)

Clear definition of what makes a Saga character compelling on social platforms
Measurable improvements in user engagement and relationship depth
Stronger consistency and continuity in character behavior
Early frameworks for cross-platform character persistence
Foundations of a repeatable system for launching new characters
A clear product strategy for Saga’s social-first AI agent platform.
A prioritized roadmap balancing customer deployments, platform primitives, AI quality, safety, and commercial outcomes.
Live characters showing measurable improvement in engagement, retention, conversation depth, UA, conversion, downloads, purchases, subscriptions, or customer ROI.
A repeatable framework for defining character quality, relationship depth, safety, compliance, and business impact.
Customer-facing workflows for configuring, launching, monitoring, and improving AI characters.
Stronger reliability, consistency, moderation, and brand safety across deployed agents.
A clear path from bespoke customer work to scalable platform product.

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