Growth Operations Manager

Growth Operations Manager About us Photoroom https://www.photoroom.com launched in 2020 after being accepted into Y Combinator and has become the world's most popular AI photo editor over the past four years. Our goal is to create the technology allowing anyone create studio-level product images in minutes. With over 300 million downloads and processing 5+ billion images annually, we serve both individual creators and major enterprises like Amazon, DoorDash, and Decathlon through our B2C app and B2B API solutions. We're a profitable, remote-friendly company that has raised Series B funding and aims for 40% year-over-year growth. Our team of 100+ passionate builders focuses on craft, innovation, and collaboration, creating exceptional impact for entrepreneurs and businesses worldwide. ROLE SUMMARY The Growth Operations Manager is responsible for building and optimising the operational systems and experimentation infrastructure behind Photoroom’s product-led growth engine. This role ensures that growth experiments across acquisition, activation, engagement, and conversion are executed with precision, reliable measurement, and clean behavioural data. The focus is on translating growth strategy into scalable experimentation frameworks, structured analytics, and repeatable operational processes across product and marketing surfaces. Working in close partnership with Product Growth, Marketing, Data, and RevOps, this person operationalises how growth experiments are designed, measured, and scaled, ensuring that growth insights are accurate, actionable, and aligned with the broader revenue framework. Compensation: €60k–75k base salary Location: Remote in France, Italy, UK, Spain, or Germany, with monthly Paris office visits (fully reimbursed) WHAT YOU’LL DO: EXPERIMENTATION INFRASTRUCTURE - Build and maintain the operational framework that supports high-velocity growth experimentation across product and marketing funnels - Ensure experiments are properly instrumented within analytics platforms (e.g. Amplitude), with clear event tracking and success metrics - Maintain structured experimentation processes: hypothesis definition, experiment tracking, and results analysis - Support growth teams in setting up and QA’ing A/B tests across onboarding flows, paywalls, and conversion journeys GROWTH ANALYTICS & INSIGHTS - Build and maintain dashboards tracking core PLG metrics: acquisition, activation, feature adoption, retention, and conversion - Analyse user behaviour and product usage data to identify growth opportunities and funnel inefficiencies - Partner with Product Growth and Marketing to translate insights into prioritised experiment roadmaps - Ensure consistent metric definitions and tracking across analytics tools, aligned with shared data standards PLG FUNNEL OPERATIONS - Maintain operational visibility across the full PLG funnel: acquisition → activation → engagement → conversion - Monitor conversion performance across onboarding, paywalls, feature usage, and upgrade flows - Identify drop-off points in user journeys and support experiment design to address them - Support lifecycle experiments (onboarding emails, product nudges, activation campaigns) in coordination with Marketing Operations GROWTH TOOLING & DATA INFRASTRUCTURE - Maintain integrations and workflows across growth tooling: Amplitude, HubSpot, experimentation platforms, and analytics pipelines - Ensure clean event tracking, user segmentation, and cohort analysis capabilities - Improve operational efficiency through automation and AI-assisted workflows for experiment analysis and reporting - Maintain documentation of growth metrics, experimentation processes, and tooling architecture USER INSIGHTS & FEEDBACK LOOPS - Support collection and analysis of user feedback, behavioural data, and product usage insights - Partner with Product and Growth teams to translate user insights into structured experiments - Maintain visibility into key eng ... (truncated, view full listing at source)