Growth Product Manager (PLG)

About Higgsfield
Higgsfield.ai is the fastest-growing generative AI platform in the world. Creators use Higgsfield to produce video, images, and interactive content with 200+ frontier models — and they do it at a scale few consumer products ever reach: we grew revenue 3x in the last four months and crossed $700M in annualized GAAP revenue by July 2026.
We recently closed a $500M funding round at a $5B valuation to accelerate what's working. The company is small relative to its revenue, decisions are fast, and the distance between an idea and production is measured in days - we ship 80+ releases a month .
About the role
You will own product-led growth at Higgsfield: making the product itself our biggest acquisition channel. Referral mechanics, viral loops, shareable artifacts, and agentic distribution — we were among the first in the world to sell subscriptions directly inside AI assistants via MCP, and that channel already drives a meaningful share of our new plan purchases. Your job is to engineer growth that compounds without a marketing budget.
We are looking for a builder, not an optimizer. There is no PLG playbook for consumer AI — you will be writing it. You should be comfortable shaping strategy without precedent, shipping daily, and defending your calls with numbers. This is a hands-on A-level role with founder-level visibility, on the Product Growth team — the team that owns all of Higgsfield's revenue.
Key responsibilities
• Design and ship referral mechanics end-to-end: incentive structures, anti-abuse, unit economics per referral, GAAP-compliant reward design — prioritizing defensible economics over headline signup numbers.
• Build viral loops into the product : shareable generation artifacts, watermark-to-signup flows, social-embedded distribution — so that every piece of content our users publish works as acquisition surface.
• Own the mobile PLG motion — desktop is our revenue platform; mobile is our acquisition engine. You design the viral-first experiences that feed the funnel.
• Scale agentic distribution : grow our MCP/assistant-embedded channel — funnel and product experience for users who arrive through AI agents rather than browsers.
• Run a rigorous experiment pipeline : hypothesis → test → ship → measure, at a pace of multiple experiments per week — raising the team's experimentation velocity and rigor over time.
• Own your metrics and their story : viral coefficient (K-factor), referral-attributed revenue, CAC of product channels vs. paid, activation of referred cohorts — and communicate what we tested, what we learned, and what it's worth to the business.
Minimum qualifications
• A track record of personally moving revenue or acquisition metrics — you can name the number, the mechanism, and your specific role in it, rather than pointing to team outcomes.
• Shipped viral or referral features in consumer products — and can walk us through the incentive design, what got abused, and how you closed the holes.
• An experimentation program behind you with a clear ROI story rather than a backlog of A/B tests — test design, guard metrics, and honest reads of ambiguous results.
• Unit-economics fl uency : you think in CAC, ARPU, payback, and contribution margin — growth that bleeds margin is not growth you ship.
• Full command of your data : you build your own funnels and dashboards, pull your own queries, and never wait for an analyst to tell you what happened.
• Comfort operating at startup speed : weekly ship cadence, decisions with 70% of the data, and the judgment to know which 30% can wait.
 
Preferred qualifications
• 3–6+ years in growth or product roles at consumer technology companies.
• Consumer AI, creative tools, or credits-economy experience.
• Experience with agentic ecosystems.
• Mobile growth background (app store funnels, mobile-first virality).
 
Why this role is special
• You'll build PLG for a product people already want to share — generative content is inherentl