Spiral Scout

Data Engineer

• Build and maintain data pipelines (Python, SQL, ETL, APIs) to prepare structured and unstructured data for AI workflows.
• Translate client problems into orchestrated AI workflows, balancing automation and human-in-the-loop design.
• Configure multi-agent logic (planner/worker, feedback loops) using LangChain, Wippy, n8n, Zapier, Make, or custom Python code.
• Prototype and ship proof-of-concepts: onboarding bots, quoting assistants, presales flows, project management helpers.
• Facilitate scoping workshops with stakeholders to clarify requirements and design workflows.
• Collaborate with engineers and product leads to create reusable AI workflow templates and automation patterns.

AI Data Engineer

QA Automation Engineer

• Build and optimize GTM workflows with n8n, connecting data sources, enrichment APIs, and AI prompts.
• Scrape and enrich signals from LinkedIn, Clutch, GitHub, and other sources to identify high-fit ICPs.
• Manage Supabase as the central database for leads, signals, and campaign metadata.
• Automate personalization with GPT-5 (via OpenRouter) to generate role-specific, context-aware copy.
• Run outreach campaigns in Instantly: import leads, check sequences, monitor engagement.
• Sync and analyze performance in HubSpot: track replies, deal stages, and sentiment.
• Automate sales follow-ups: generate call briefs, internal notes, and next-step proposals from transcripts.
• Feed insights back into the system by testing new signals, improving prompts, and refining ICP filters.

GTM Automation Engineer

Backend Engineer

• Write well-designed, reusable, testable, and secure code by applying best software development practices.
• Design and implement low-latency, high-availability, and performant applications.
• Architect well-defined APIs for user-facing elements developed by Frontend developers.
• Investigate 3rd party tools and assess their fit to various requirements such as data management, performance, and security.
• Create flow diagram cases and collaborate in a multi-disciplinary team.
• Conduct and participate in code reviews to ensure quality and consistency.
• Troubleshoot system-level integration and performance issues.
• Discover, learn, and implement new technologies to improve processes and standards within the team.
• Document software components and mentor junior team members in best practices.
• Proactively identify and propose improvements to the existing systems and architecture.

AI Data Engineer

GTM Automation Engineer

Senior Java Developer