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About the Role
Flow is seeking a GTM Engineer to build and run the systems behind how we find, win, and grow customers. This role sits between sales, marketing, customer success, and leadership, owning the GTM stack end to end, automating workflows, and turning data into actionable insights.
Responsibilities
- Own and evolve the GTM stack, including CRM, enrichment, sequencing, and analytics tools, and their integrations.
- Build automated workflows for prospecting, lead routing, enrichment, and account research using APIs, scripting, and AI tooling.
- Design and maintain pipeline structure, deal stages, and data model for accurate forecasting and reporting.
- Build dashboards and reporting on pipeline health, conversion, sales cycle, and expansion for GTM teams and leadership.
- Partner with sales and customer success to identify and address friction in deal progression through process or tooling changes.
- Support planning activities such as territory and account segmentation, target account lists, and quota and capacity modeling.
- Maintain data cleanliness and consistency across systems, including deduplication and field hygiene.
Requirements
- 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 use for decision-making.
- Ability to work directly with sellers and understand complex, multi-stakeholder sales cycles.
- Comfortable in a high-ownership environment where you scope, build, and support your own systems.
- 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.
Skills
- CRM administration
- GTM stack automation
- API integration
- Scripting (Python, JavaScript, SQL)
- Data modeling
- Forecasting
- Reporting dashboard creation
- Sales process analysis
- Data hygiene
- LLM usage
- AI agent utilization
Experience Level
- 3+ years
About the Company
- 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.