Senior Automation Analyst, GTM Engineering

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November 20

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HubSpot

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B2B • SaaS • Marketing

HubSpot is an AI-powered customer platform that combines marketing, sales, and customer service software into one integrated suite. With over 238,000 customers in 135 countries, HubSpot offers tools for marketing automation, sales management, customer service, content marketing, operations, and B2B commerce. With products like Marketing Hub, Sales Hub, Service Hub, and Content Hub, HubSpot enables businesses to generate leads, close deals, and provide excellent customer support, all while using AI to enhance operations and insights. The platform is designed to unify teams and customer data, supporting both small startups and large enterprises in their growth journey.

1001 - 5000 employees

Founded 2006

🤝 B2B

☁️ SaaS

📋 Description

• Identify and prioritize high impact automation and AI opportunities across the sales ecosystem. • Perform hands-on technical work - prototyping and deploying solutions using Workato, HubSpot Workflows, Breeze Studio, and code-based integrations. Leverage modern AI coding assistants (e.g. Cursor, Claude Code, Replit) to troubleshoot and stitch solutions. • Build AI integrated automations and Agentic capabilities, leveraging LLMs and other tools to supercharge the rep experience. • Operate with ownership - go beyond execution - perform your own analysis, surface insight and make recommendations that influence how we approach strategic initiatives • Influence through expertise - represent perspective in cross-functional discussions - contributing to roadmap decisions, pilot design and scaling strategy. • Document and share reusable frameworks and components to accelerate how we build and learn as a team.

🎯 Requirements

• 3+ years professional experience (ideally in SaaS) in Automation, RevOps, Solutions/Systems, or adjacent engineering/analytics roles. • Proven delivery with iPaaS/low-code tools (e.g. Workato, Boomi, MuleSoft) and hands on integration experience via APIs and ETL. • Proficiency in SQL. • Comfortable working with code (Python or JavaScript preferred) - able to script, debug, and prototype. • Curiosity, analytical rigor and a love of learning by building - especially as AI unlocks new ways to grow. • Clear, concise communicator who can translate between technical and non-technical audiences.