Growth Operations Manager

About us

Photoroom 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.

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)

• 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

• 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

• 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

• 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

• 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 engagement signals that inform product and growth prioritisation

• 3–5 years in Growth Operations, Product Analytics, or Growth-focused roles within a B2B or PLG SaaS environment

• Hands-on experience with product analytics tools (e.g. Amplitude, Mixpanel), including event tracking and funnel analysis

• Strong understanding of PLG funnels: acquisition, activation, retention, and conversion, and how they operate in practice

• Experience supporting or operationalising A/B testing and experimentation frameworks

• Comfortable working with data structures, event taxonomies, and analytics pipelines

• Strong analytical instinct: you identify data inconsistencies quickly and translate insights into actionable growth opportunities

• Experience working closely with Product Growth teams in a PLG environment

• Familiarity with experimentation tools (e.g. Optimizely, GrowthBook, LaunchDarkly)

• Experience integrating marketing and product data (e.g. HubSpot + product analytics)

• Experience working alongside RevOps and understanding how PLG connects to revenue systems

• Exposure to AI-driven workflows or automation in growth analytics

• A clear experimentation framework implemented and adopted across growth teams

• Reliable dashboards tracking PLG funnel performance across acquisition, activation, retention, and conversion

• Improved visibility into experiment performance and user behaviour trends

• Faster experimentation cycles enabled by clean data and structured processes

• Growth insights consistently informing product and marketing roadmaps

• Work flexibly from Germany, UK, Italy, France, Ireland, Portugal or Spain

• Regular team gatherings, including in-person onboarding in Paris (1–2 weeks), yearly company offsite, team retreats, and quarterly in-person meetings

• 30 days annual leave plus local public holidays

• Competitive equity package with stock options/BSPCE

• €1,000 one-time home office grant OR €400/month co-working space stipend

• €1,000 annual learning and development budget

• Private health insurance

• Access to personalised mental health support via MokaCare

• Sports and cultural activities reimbursement

• Relocation support (up to €10k) for those choosing to move to France (visa + housing support)

Note: Visa sponsorship and relocation support are only available for roles based in France.

1. Screening call with Talent Manager (30 min)

2. Technical interview with Hiring Manager (45 min)

3. Take-home assignment and live review with the team (45 min)

4. Culture fit interviews and meet the team (~3h total)

5. Reference check and offer

Support: We value diversity and aim to create an inclusive experience for all applicants. Please let us know if there’s anything we can do to make the process more accessible for you.

We're committed to enabling everyone to feel included and valued at work. We believe our company and culture are strongest when composed of diverse experiences and backgrounds.

That's also why we have flexible working hours, trust people to work remotely, and extended parental leave.

All qualified applicants receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws.