Growth Product Manager (PLG)

About Higgsfield Higgsfield.ai http://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 fluency: 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 inherently viral raw materia…