Software Engineer, Growth

W3 Global SourcingNew York, NY
Onsite

About The Position

Growth Engineering | New York, NY / On-site About the Company We are representing a fast-growing, venture-backed technology startup building an AI-powered marketplace for essential industries. The company is modernizing how specialized, high-value assets are bought, sold, and moved across complex operational environments. The platform combines marketplace infrastructure, workflow automation, data systems, and AI to reduce manual processes and help organizations complete transactions faster and more efficiently. The Role This is an opportunity to join as a Growth Software Engineer focused on building the internal systems, data infrastructure, and AI-powered workflows that help a commercial team scale. You will work across the full stack to turn fragmented data into actionable sales intelligence, automate high-leverage workflows, and build tools that make account executives significantly more effective. This role is ideal for an engineer who enjoys product-minded problem solving, fast iteration, and building systems that directly influence revenue growth.

Requirements

  • 2–5 years of full-stack engineering experience.
  • Strong experience with TypeScript, Node.js, and PostgreSQL.
  • Ability to build production-grade internal tools, APIs, and data workflows.
  • Comfortable working across ambiguous problems and translating business needs into technical systems.
  • Strong product instincts and an interest in growth, sales efficiency, and revenue operations.
  • Bias toward ownership, speed, and practical execution.
  • Excitement about using AI and automation to improve real-world workflows.

Nice To Haves

  • Experience with Next.js, Express, React Native, or similar modern web technologies.
  • Exposure to LLMs, AI/ML workflows, or agentic automation.
  • Experience building sales tooling, outbound automation, lead scoring, routing, or CRM-adjacent systems.
  • Familiarity with data ingestion, enrichment, or unstructured data processing.
  • Marketplace, logistics, government, public-sector, or operations-heavy industry experience.

Responsibilities

  • Build data pipelines that transform messy, fragmented market data into actionable leads and sales signals.
  • Develop internal tools that improve outbound workflows, lead routing, sequencing, and deal collaboration.
  • Apply AI and LLMs to unstructured sources such as documents, call data, and legacy systems.
  • Create automated workflows and agentic systems that support pipeline generation in the background.
  • Work across frontend, backend, data, and AI-enabled tooling.
  • Partner closely with commercial stakeholders to identify bottlenecks and build practical engineering solutions.
  • Ship quickly in a high-ownership startup environment.

Benefits

  • Visa sponsorship may be considered for exceptional candidates.
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