Growth Marketer

[Company name], a B2B SaaS SMB in [industry] based in [city], [X] employees, [X] M€ ARR, is hiring a Growth Marketer to steer the end-to-end funnel (acquisition, activation, conversion, retention).

Your mission

As Growth Marketer you work on the entire funnel: you diagnose bottlenecks, formulate testable hypotheses, run experiments and prioritize by funnel lever. You work in direct alignment with [management or the Head of Marketing], the product team and sales. You pilot acquisition channels (paid, SEO, communities) as well as activation and retention levers (onboarding, lifecycle, pricing tests).

Key responsibilities

• Measure and steer funnel performance end to end: signup, activation, trial-to-paid, retention by month 1 / 3 / 6, with a shared dashboard for management, product and sales.
• Maintain a prioritized experiment backlog quarterly (ICE or PIE score), implement the top hypotheses and evaluate them with a documented post-mortem.
• Pilot and scale paid acquisition channels (Google Ads, LinkedIn Ads, paid social), own CAC and payback per channel, validate new channels with a test budget.
• Set up lifecycle and activation campaigns with the product team: onboarding sequences, re-engagement flows, pricing tests, with clearly defined success criteria.
• Steer SEO growth as a long-term annuity: keyword strategy, technical SEO, content production with qualified freelancers or a specialized agency.
• Do the data work independently: SQL or notebook analyses, defining event tracking, validating attribution, sharing a monthly growth review with management.

Profile

• Required: [3 to 6] years of professional experience in growth, performance marketing or marketing analytics, of which at least 2 years at a B2B SaaS or D2C SMB (not exclusively a corporation or agency); operational SQL or notebook practice; experience with a product-analytics tool (Amplitude, Mixpanel or PostHog); demonstrable experience in paid-acquisition scaling with CAC responsibility.
• Plus: experience with lifecycle automation (Customer.io, HubSpot, Braze); experience with pricing or onboarding experiments; experience with reverse ETL or a data warehouse (BigQuery, Snowflake); familiarity with experimentation tools (VWO, Optimizely or feature-flag-based).
• Disqualifying: pure paid specialization with no funnel view; no experience whatsoever with product analytics; refusal to do SQL or notebook analyses independently; no experience whatsoever working directly with a product team.

What we offer

• Gross annual compensation: fixed [48 to 78] k€ plus an annual bonus of around 10 %, tied to OKRs (acquisition, conversion, retention).
• Model: [full-time, hybrid 2 to 3 days / week on-site, based in [city]].
• Benefits: [company pension, bike leasing, employee shares, vacation, home-office policy, professional development].
• Stack: [CRM, product analytics, web analytics, lifecycle automation, an experimentation tool, SEO, a data warehouse].