Growth Marketing Manager (PALs/Consumer)
TavusSan FranciscoPosted 31 March 2026
Job Description
Growth Marketing Manager (PALs/Consumer)
ABOUT US
Tavus is a research lab pioneering human computing. We're building AI Humans: a new interface that closes the gap between people and machines, free from the friction of today's systems. Our real-time human simulation models let machines see, hear, respond, and even look real, enabling meaningful, face-to-face conversations. AI Humans combine the emotional intelligence of humans with the reach and reliability of machines, making them capable, trusted agents available 24/7, in every language, on our terms.
Imagine a therapist anyone can afford. A personal trainer who adapts to your schedule. A fleet of medical assistants that can give every patient the attention they need. With Tavus, individuals, enterprises, and developers can all build AI Humans to connect, understand, and act with empathy at scale.
We're a Series B company backed by world-class investors including Sequoia Capital, Y Combinator, CRV and Scale Venture. Be part of shaping a future where humans and machines truly understand each other.
THE ROLE
For the first time in history, people can have a face-to-face relationship with an AI that truly knows them. PALs are emotionally intelligent AI humans that see, listen, remember, and adapt across text, voice, and live video. They pick up on how you're feeling, not just what you're saying. They check in on you, grow with you, and never forget what matters most.
This isn't a chatbot. It's a new category entirely, and nobody has cracked consumer growth for it yet.
That's where you come in. There is no benchmark, no established channel mix, no proven funnel to copy. The person who takes this role will define how an entirely new category of human-AI relationship grows. That doesn't happen often.
We're looking for a Growth Marketing Manager to build the playbook for PALs from scratch: owning awareness, acquisition, and activation for a product that has no real precedent. You'll identify the product-led growth loops and viral mechanics that turn users into advocates, and build the flywheels that make PALs grow faster the more people use it. You'll need equal parts consumer intuition, experimental rigor, and the builder's instinct to prototype and ship faster than most teams write briefs.
YOUR MISSION 🚀
- Own the full consumer funnel for PALs, from the first impression to the moment a user builds a real relationship with their PAL.
- Define and execute acquisition strategy across paid social, influencer and creator partnerships, organic, and emerging channels.
- Build and launch growth experiments independently using AI tools, no-code platforms (Retool, Cursor, Vercel), and automation (Zapier, Make, N8N) without waiting on engineering.
- Use LLMs and AI workflows to move faster: generating creative variants, building segmentation logic, spinning up landing pages, and automating campaign ops.
- Design and optimize the onboarding and activation experience in partnership with Product, driving users to their first meaningful PAL interaction.
- Build lifecycle programs across email, push, and in-app that deepen engagement and convert trial users to paying ones.
- Own PALs growth KPIs: acquisition, activation rate, trial-to-paid conversion, session frequency, and early retention.
- Act as a force multiplier for the broader team, building internal tools and playbooks that accelerate the whole GTM org.
REQUIREMENTS
- 2-5 years of experience in growth, consumer, or performance marketing at a fast-moving tech company.
- You think like a marketer and ship like a hacker. You'd rather validate an idea in 48 hours than document it for two weeks.
- Comfortable with AI tools, no-code platforms, and automation: Zapier, Cursor, Claude Code, Retool, Vercel, LangChain, or similar. Python, JavaScript, or SQL fluency is a real plus.
- Strong instincts for what makes consumers tick, form habits, and genuinely fall for a product.
- Experience with paid social channels (Meta, Tik ... (truncated, view full listing at source)
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