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saas.group acquires SaaS companies with a bootstrapper mindset
Senior Product Engineer
Location
Europe
Posted
106 days ago
Salary
0
Seniority
Senior
Job Description
Senior Product Engineer
saas.group
• Become a core member of our product engineering team, owning features from idea to production. • Design and build LLM-based scrapers that extract ranking data for prompts across major AI platforms (ChatGPT, Perplexity, Gemini, etc.) — bringing the same visibility we provide for Google SERP into the LLM search landscape. • Develop LLM-driven workflows and integrations that automate data collection, analysis, and insight generation. • Ship user-facing features end-to-end, including frontend UI, backend services, and data pipelines. • Analyze usage data and use those insights to shape what you build next. • Own product outcomes end-to-end: from identifying user problems and prototyping solutions to shipping, measuring, and iterating. • Architect and build LLM-powered scraping systems that monitor how brands and keywords rank across AI platforms. • Design and implement LLM-driven workflows — prompt engineering, response parsing, structured data extraction, and result evaluation at scale. • Build and maintain the frontend experiences (React.js) that surface LLM ranking insights to users. • Develop scalable backend services and data pipelines to support new product areas. • Analyze usage data and user feedback to prioritize what to build, fix, and improve. • Collaborate closely with the team on product direction — bring opinions, back them with data, and help set priorities. • Write clear documentation for the features you ship.
Job Requirements
- 5+ years of full-stack development experience, with a strong track record of shipping user-facing products end-to-end.
- Proficiency in Node.js (TypeScript) for backend services, knowledge of other backend languages is a plus.
- Hands-on experience building with LLMs — prompt engineering, MCPs, API integrations (OpenAI, Anthropic, etc.), structured output parsing, and evaluation of LLM responses.
- Experience designing and building data pipelines and working with large-scale data processing.
- A product mindset: you think about user problems first, not just technical implementation. You form opinions on what to build and why.
- Comfort with ambiguity — you can take a vague problem, break it down, prototype fast, and iterate based on feedback.
- Strong communication skills — you can explain technical decisions in terms of user and business impact.
- Senior-level ownership: you plan meticulously, ship reliably, and proactively identify risks and opportunities.
- Nice-to-have: Experience with modern frontend frameworks (React, Vue.js, or similar), experience with web scraping or browser automation, familiarity with OLAP databases like ClickHouse for analytical workloads, background in SEO tools, rank tracking, or search ecosystems, experience with AI agent frameworks or building autonomous LLM-powered systems, history of side projects, open-source contributions, or founding your own product.
Benefits
- Ultimate flexibility: We're 100% remote. You can work from wherever you like, whenever you like.
- Freedom and autonomy: We're a high-trust team, and you'll be given lots of flexibility to solve problems in your own way — with plenty of help from the team when you need it.
- Minimum bureaucracy: We don't like to get bogged down with meetings and red tape. We like to be efficient and keep momentum steady & sustainable.
- Small & friendly team: We help each other out, have fun, and joke around.
- Our network: We are a community of entrepreneurial SaaS professionals that regularly exchange ideas, knowledge, learning and expertise with each other internally.
- Flexible time off: We want you to recharge your batteries when needed.
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