Systems Engineering

Job Description

Responsibilities

• Build internal GTM products that help Sales, RevOps, Customer Solutions, Marketing, and leadership operate with more speed, clarity, and confidence.
• Ship full-stack applications across SDK apps and studios, APIs, backend services, data pipelines, automation layers, and AI-powered workflows.
• Develop tools and workflows that support pipeline generation, deal execution, customer expansion, account planning, handoffs, forecasting, enablement, and GTM visibility.
• Build AI-driven workflows that reduce manual work, surface insights, improve data quality, and help GTM teams make better decisions.
• Create reusable patterns and paved paths for building, adopting, and extending AI-powered operational systems across GTM.
• Build for trust through access control, auditability, schema quality, governance, data quality, observability, and operational resilience.
• Partner with workflow champions and GTM stakeholders to move quickly from prototype to production.
• Measure impact through adoption, time saved, workflow completion rates, data quality, pipeline visibility, GTM productivity, AI evals, and stakeholder feedback.
• Help shape the architecture, practices, and culture of a new Systems Engineering team with a strong bias toward practical impact.

About you

• Remote in North America (SF preferred).
• Strong full-stack engineer with TypeScript, React, Node.js, APIs, and backend services.
• Experienced building internal tools, workflow automation, data products, platform systems, or AI-powered applications.
• Strong product instincts and a sharp sense for what users actually need to get work done.
• Familiar with GTM workflows, with an ability to go deep on how Sales, Marketing, Customer Solutions, and RevOps teams operate.
• Understands or is eager to learn concepts like pipeline generation, deal stages, customer lifecycle workflows, account data, handoffs, forecasting, enablement, and operational reporting.
• Systems thinker who can turn operational friction into intuitive tools, reliable workflows, and strong UX patterns.
• Demonstrated understanding of AI as an operating model, including agents, tool use, structured context, prompts, evals, and automation.
• Cares deeply about trust, data quality, governance, and systems people can confidently rely on.
• Comfortable with ambiguity and able to turn loosely defined business problems into shipped technical solutions.
• Clear communicator who can explain technical tradeoffs to both technical and non-technical stakeholders.
• Balances rapid experimentation with reliability, observability, access control, and maintainable architecture.
• Energized by work that compounds across GTM teams and helps operate faster and better.

Nice to have

• Experience in GTM Engineering, Revenue Operations, Sales Engineering, Solutions Engineering, Customer Success tooling, or software engineering applied to GTM workflows.
• Experience working with CRM, marketing automation, sales engagement, customer success, support, data warehouse, or business intelligence systems.
• Experience building AI/LLM-powered workflows in production, including prompt design, API orchestration, agent design, evals, and human-in-the-loop systems.
• Experience building demo tooling, enablement systems, knowledge systems, or internal centers of excellence.
• Background driving adoption, documentation, enablement, or change management for internal tools.
• Prior experience dogfooding your own company’s product or building internal systems on top of a highly composable platform.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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