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Flow Engineering
San Francisco, California, United States
Source: Flow Engineering careers · View original posting
From Flow Engineering's posting. “We” and “our” refer to the employer.
Flow Engineering is an AI-native requirements platform for modern engineering organizations, enabling hardware teams to collaborate with AI agents to design, validate, and evolve complex systems with speed and rigor.
Flow is seeking a GTM Engineer to build and run the systems behind how we find, win, and grow customers. Our customers are hardware teams in aerospace, defense, automotive, and adjacent industries, and our sales motion reflects that: long evaluation cycles, multiple stakeholders across engineering and procurement, and pilots that expand into full deployments. Getting the right data, tooling, and process in place is what lets a small team run that motion well.
This role sits between sales, marketing, customer success, and leadership. You will own our GTM stack end to end, automate the work that slows the team down, and turn pipeline and customer data into something the whole company can trust and act on.
3+ years in revenue operations, GTM engineering, sales operations, or a similar role, ideally at a B2B SaaS company selling to enterprise customers.
Hands-on experience administering a CRM and building automations and integrations across a GTM stack.
Comfortable writing code or scripts (Python, JavaScript, SQL, or similar) to connect systems and move data when no-code tools fall short.
Strong analytical skills, with experience building reporting that leaders actually use to make decisions.
Able to work directly with sellers and understand the realities of a complex, multi-stakeholder sales cycle.
Comfortable in a high-ownership environment where you scope, build, and support your own systems.
Nice to have
Experience at an early-stage startup building GTM infrastructure from the ground up.
Familiarity with selling into defense, aerospace, or other regulated industries, including longer procurement cycles.
Experience using LLMs or AI agents to automate research, enrichment, or outbound workflows.
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