Lead Automation Analyst, Agentic GTM
H
HubSpotB2B SaaS
Remote - USAFull-TimeLead
Salary129,200 - 206,700 USD per year
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Job Details
- Experience
- 5+ years in Automation, Ops, or GTM Engineering within B2B SaaS.
- Required Skills
- PythonSQLGitJavascriptCI/CDRESTful APIsCRMHubSpotLLM
Requirements
- 5+ years in Automation, Ops, or GTM Engineering within B2B SaaS.
- Proven Track Record: Experience leading the technical lifecycle of high-visibility, cross-functional projects.
- Subject Matter Expertise: Deep understanding of the Lead-to-Cash lifecycle and Sales productivity bottlenecks.
- iPaaS Mastery: Deep hands-on experience with Workato (or similar) and HubSpot or other enterprise CRMs.
- Code & Data: Proficient in SQL and programming languages (e.g., JavaScript/JSON, Ruby, Python) to extend platform capabilities.
- AI Fluency: Hands-on experience implementing LLM-powered workflows, RAG, and agentic frameworks in a production environment.
- Software Foundations: Familiarity with modern software delivery (Git, CI/CD, APIs).
- Systems Thinker: You thrive on turning messy business problems into scalable, logical architectures.
- High Autonomy: You have a massive bias for action and can navigate from "vague idea" to "shipped product" with minimal oversight.
- Rigorous Quality: You maintain a high bar for testing, documentation, and error handling.
Responsibilities
- Lead the end-to-end design and execution of complex automations using Workato, HubSpot, and Breeze Studio, leveraging Python/JS and AI coding assistants.
- Partner directly with Sales and Ops leadership to translate ambiguous GTM challenges into phased, AI-powered technical roadmaps.
- Act as the "Bar Raiser" for the team’s technical output—standardizing intake, QA, and observability to ensure resilient, enterprise-grade solutions.
- Move beyond simple triggers to build sophisticated, LLM-powered workflows and autonomous agentic capabilities.
- Drive alignment across stakeholders by translating complex technical architectures into clear business value and scalable logic.
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