Own the systems engineering layer of GTM at a Series B company, designing and maintaining essential CRM architecture and automation with a focus on AI-assisted development.
Own and evolve HubSpot CRM architecture: deal stages, pipeline configuration, property management, record automation, and data hygiene at scale.
Build and maintain workflow automation across the full GTM funnel: lead routing, lifecycle stage progression, assignment rules, and sales stage enforcement.
Design and operationalize the Marketing -> BDR -> AE lead -> Solutions implementation handoff, including routing logic, SLAs, and feedback loops.
Own deal desk, CPQ, and quote-to-cash processes, working with sales and BizOps to ensure clean handoffs from signed contract to provisioning to payment made.
Ship custom integrations and tools using AI-assisted development (Claude Code, etc.) that solve real operational problems and run in production.
Support GTM team onboarding and enablement: build onboarding workflows, maintain playbook distribution, and ensure new hires are productive in the stack quickly.
Manage attribution and lead funnel reporting in conjunction with Marketing/Growth to ensure pipeline sources and conversion metrics are accurate.
Conduct build vs. buy analysis for new tooling needs. Not everything needs to be custom-engineered; know when to configure, when to integrate, and when to build.
4+ years in GTM (revenue/marketing/sales) operations or GTM engineering at a B2B SaaS company.
Deep HubSpot CRM experience, including workflow automation, custom properties, and pipeline management.
Experience building and maintaining workflow automations (HubSpot workflows, n8n, Zapier, or similar).
Proficiency with AI-assisted development tools (Claude Code, Codex, Cursor, etc.). Must have shipped a tool, integration, or automation to production that a team actually uses.
Experience with lead routing (including Marketing to BDR to AE handoff), deal stage management, and sales process design.
Experience with designing system for handoff of accounts from Sales to Solutions for technical implementation
Experience with CPQ, billing integrations, or deal desk operations.
Experience with owning sales enablement processes, such as a GTM team onboarding processes/automations
Ability to run quick build vs. buy analyses: not everything needs to be custom-engineered.
A documentation-heavy mindset with a knack for effective change management
Familiarity with Clay for data enrichment.
Experience at a developer-focused or open-source company.
Experience with Enterprise ICPs and complex, multi-stakeholder sales cycles.
Join a company at the cutting edge of AI + data infrastructure, powering the future of generative AI.
Own the systems engineering layer of GTM at a Series B company. Real ownership, not ticket-taking.
Work on a team that builds and deploys full-stack apps, AI-powered tools, and custom integrations. You'll ship things that matter.
Small team (3 people, 10 functions) = massive scope and direct impact on how the company sells.
You're encouraged to experiment with tools. Freedom to build.
Competitive compensation, equity, and benefits.
Unstructured builds advanced AI infrastructure specifically for federal agencies and enterprises, helping them convert diverse document formats into efficient, scalable data pipelines. With a widely adopted open-source toolkit and significant backing from top investors, we are setting the standard for data transformation in the era of large language models and generative AI, powering production AI workflows across various sectors.
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