The Challenge
Probabl is monetizing scikit-learn-the world's most-used open-source ML library-with Skore, an enterprise data science platform. You'll convert a massive developer community into qualified pipeline, acting as the command center between internal sales and external acquisition agencies.
Your Mission
Establish weekly performance reviews with external agency; validate campaign quality against ICP and flag optimization gaps by week 2
Map scikit-learn community touchpoints (GitHub, newsletters, events); identify top 3 inbound acquisition channels and baseline MQL volume
Design and launch 2-3 targeted campaigns (LinkedIn Ads, Google Ads, developer newsletter placements) tied to Skore product positioning
Set up lead scoring, routing, and email nurture workflows in HubSpot; establish baseline SQL conversion rates from MQL
Achieve repeatable monthly MQL target aligned with Sales; maintain 25%+ MQL-to-SQL conversion rate
Document and optimize open-source acquisition playbook; measure attribution across community vs. paid channels
Build and maintain real-time acquisition dashboard (MQL volume, conversion, CAC, channel performance) for weekly VP sync
Deliver 2+ closed-loop feedback loops between Sales objections and acquisition targeting; iterate messaging based on win/loss signals
KPIs You'll Own
MQL Volume
Track monthly qualified leads generated across all acquisition channels (paid, community, organic).
MQL-to-SQL Conversion Rate
Measure percentage of marketing-qualified leads that sales accepts and qualifies.
Channel Attribution
Break down lead source and revenue attribution across SEO, paid ads, developer newsletters, and community initiatives.
Cost per MQL
Calculate efficiency of acquisition spend; optimize agency spend allocation.
Time to SQL
Measure velocity from MQL to sales-accepted lead; monitor email nurture effectiveness.
Tools & Stack
Your Team
Your Manager
VP of Sales
Current Team
External marketing/SEO agency; Sales team (size unknown)
New role to build repeatable inbound acquisition function
The Package
Salary
€45K-€65K base
Remote
On-site, Paris (Île-de-France)
Benefits & Perks
Company Intelligence
Probabl is the company behind scikit-learn, the world's most widely adopted open-source machine learning library. They're building Skore, an enterprise-grade data science platform to help organizations industrialize AI/ML practices. The company is at an inflection point-converting massive developer mindshare into commercial pipeline.
Is This Role For You?
- You've run B2B SaaS or developer-tool acquisition campaigns and understand how to convert open-source users into paying customers
- You thrive coordinating with external agencies-briefs, QA, performance reviews-and translating insights into action
- You're fluent in HubSpot, lead scoring, and marketing automation; you can build dashboards and spot bottlenecks
- You write clearly for technical audiences (data scientists, ML engineers); you understand community-driven GTM
- You need full remote or hybrid flexibility; this is on-site Paris only
- You're looking for a pure content or brand role; this is metrics-driven, pipeline-focused acquisition
- You have zero exposure to B2B SaaS funnels, lead routing, or demand generation; this role assumes you know the mechanics
Interview Process
Initial screening
Phone or Zoom call with hiring manager; cover growth marketing background, agency coordination experience, and familiarity with dev-tool GTM
Case study or work sample
Walk through a past acquisition campaign you've managed; discuss targeting, messaging, results, and learnings
VP of Sales alignment
In-person or video interview with the VP of Sales; discuss sales motion, ICP, objection patterns, and how acquisition will support pipeline
On-site final round
Meet team, see office, discuss role scope and immediate priorities
Ready when you are
Interested in this role?
Apply now and hear back within days, not weeks.
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About Growth Marketing roles
Growth marketers drive user acquisition, activation, and retention through data-driven experimentation. They sit at the intersection of product, data, and marketing — running A/B tests, building funnels, and scaling what works.