What you bring to the team
• 3–5+ years experience in B2B SaaS marketing, growth or sales (ideally with SMB/SME customers).
• Comfortable owning the go-to-market: ICP definition, messaging, pricing, funnels and experiments.
• Can run both outbound (cold email, LinkedIn, partnerships) and inbound (content, SEO, communities).
• Data-driven: you enjoy looking at metrics, running experiments and iterating quickly.
• You’re happy to be hands-on: writing emails, doing calls, improving landing pages, setting up CRM, etc.
• Based in Europe time zones, good German, English
Requirements
You have strengths in...
- getting in touch with people
- networking and business relationships
- words and communication
You already have...
- founded a company
- raised an investment round
- exited a startup
- participated in an accelerator/incubator
What awaits you
• Validate and refine our ICP and positioning with real customer conversations.
• Design and run go-to-market experiments (cold outreach, content, communities, partnerships).
• Build the early sales motion: from first call to closing and onboarding.
• Shape pricing & packaging together with me.
• Help steer product based on feedback from marketers and agencies.
• Over time, build the first hires in marketing/sales once we have traction.
What we offer you
• A working, production-ready product (CiteRadar) with multi-LLM support, Stripe billing, and full dashboard already live.
• Clear pain point: marketing teams want to know how often AI agents recommend their brand vs competitors.
• Technical side is covered (I’m an experienced full-stack founder) so you can focus on GTM and growth.
• Remote-friendly, async-friendly, with a calm but ambitious pace.
• Opportunity to shape a new category (AI visibility / “AI SEO”) very early
About our project
CiteRadar tracks how ChatGPT, Claude, Perplexity etc talk about your brand, so marketers can treat AI assistants as a new SEO & recommendation channel.
CiteRadar shows marketing teams how often AI assistants like ChatGPT, Claude, and Perplexity mention their brand vs. competitors. We turn AI search results into visibility scores, competitor benchmarks, and concrete content ideas.
Challenges
Finding the best initial niche (ICP) and distribution channel, validating pricing, and turning early interest into repeatable sales.On the product side: keeping up with new AI providers, improving accuracy of brand detection, and building workflows that plug into existing marketing stacks (analytics, CRM, content).