GTM Engineer: AI-Powered Revenue Ops

FlowGen Labs; San Francisco (CA); Presencial; USD 150 000 - 250 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

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Resumo da oferta

FlowGen Labs in San Francisco is building frontier enterprise AI that connects data, software, and AI across prospecting, marketing, and sales. You will work directly with the founders and go-to-market team to turn data, software, and AI into scalable, repeatable processes that drive revenue and customer value.

This hands-on engineering role offers ownership, accountability, and the chance to ship robust integrations that scale with the company.

Qualificações

• 1+ years building software or technical systems in GTM engineering, growth engineering, revenue operations, sales engineering, or a closely related role.
• Strong Python and TypeScript skills. You can work with APIs and asynchronous workflows, design a database schema, and debug a production issue from logs.
• Hands-on experience with a modern GTM stack: CRMs, enrichment tools, and outbound platforms. You understand how accounts and leads move through a sales process and how to keep the underlying data trustworthy.
• Practical experience building with LLMs, including prompt design, evaluations, structured outputs, and handling failures.
• Strong SQL skills and sound judgment about data models, integrations, and pipeline design.
• Strong business judgment and crisp communication. You can turn an ambiguous sales or marketing problem into a scoped project, explain the tradeoffs, and connect technical work to business outcomes.
• Ownership mentality and follow-through on the details. No job is too small: you'll build a new agent and fix the broken CRM sync, and you do both well.
• Real curiosity about enterprise AI, agentic workflows, and how large companies actually operate. Experience building CRM integrations or production AI applications is especially useful.

Responsabilidades

• Build automated workflows that turn customer signals into qualified pipeline: account discovery, enrichment, prioritization, lead routing, and outbound activation.
• Own enrichment end to end. Turn inbound interest, target account lists, and event contacts into accurate, deduplicated CRM records with useful account context and clear next steps.
• Develop account scoring around our ideal customer profile. Combine company data, buying signals, and AI research to help the team focus on enterprises where FlowGen can deliver the most value.
• Build AI agents and internal tools for account research, meeting preparation, call summaries, proposals, and RFP or security questionnaire drafts. Put useful account intelligence into the team's daily workflow.
• Connect our CRM, enrichment providers, outbound tools, and internal data systems through APIs and reliable data pipelines. Own the data models, sync logic, and quality of the information the team relies on.
• Ship code that holds up in production: clear reviews, logging, monitoring, retries, and error handling. Debug broken integrations, failed data jobs, and unreliable model outputs, and fix the underlying cause.
• Work with the founders and sales team to find repetitive work, test new approaches, and measure what improves pipeline quality, conversion, and time spent selling. Keep improving the systems as the company scales.

Conhecimentos

Python

TypeScript

SQL

GTM tooling

Ferramentas

CRMs

Enrichment tools

Outbound platforms

APIs

Descrição da oferta de emprego

FlowGen Labs in San Francisco is building frontier enterprise AI that connects data, software, and AI across prospecting, marketing, and sales. You will work directly with the founders and go-to-market team to turn data, software, and AI into scalable, repeatable processes that drive revenue and customer value.

This hands-on engineering role offers ownership, accountability, and the chance to ship robust integrations that scale with the company.