Technical Lead
Fairground
Technical Lead
Fairground
B2B sales intelligence platform
About Fairground
Fairground is a B2B GTM data platform. We ingest, enrich, and structure millions of company and contact records across verticals, and turn them into reliable go-to-market signal inside our products. Data is the product — and how well we build the pipeline behind it is the business.
What You’ll Do
Design, implement, and optimize scalable backend systems and AI-driven workflows from spec to production.
• Own the architectural roadmap — making pragmatic, high-leverage decisions that scale with the platform.
• Lead integration of LLM models, agentic frameworks, and workflow automation to enhance sales intelligence features.
• Profile, debug, and optimize the platform for high availability, low latency, and seamless third-party integrations.
• Take high-impact features from discovery through deployment — writing technical designs, breaking down complexity, and iterating on feedback.
• Write clean, maintainable, well-tested code. Champion engineering best practices and lead code reviews.
What We’re Looking For
• 7+ yearsof software engineering experience, with a meaningful portion in senior or lead roles at fast-paced startups.
• Strong proficiency in Python, Node.js, or similar; proven ability to architect complex systems and navigate large codebases.
• Solid working knowledge of PostgreSQL, MongoDB, or comparable — schema design, query optimization, indexing.
• Hands-on experience on AWS, GCP, or Azure (containerization, CI/CD, observability).
• Experience with AI/LLM agentic frameworks (LangChain, CrewAI, AutoGen) or low-code / workflow automation platforms.
B2B sales intelligence platform
Fairground is a business-to-business go-to-market data company operating with the Orbital product organization. The company ingests, enriches, and structures company and contact data into sales signals, prospecting workflows, and AI-assisted actions. It serves sales, revenue operations, marketing, and customer-success teams. Its operating model centers on data infrastructure and customer workflows combined in a sales-intelligence platform. Teams work across data engineering, AI, software, product, go-to-market operations, sales, and customer success. The business combines technical knowledge, practical execution, and ongoing support across the markets it serves.
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