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Founding GTM Engineer

Job in Schenectady, Schenectady County, New York, 12301, USA
Listing for: Linkup
Full Time position
Listed on 2026-05-30
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer, Data Security, Cloud Computing
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

About the Role

We’re hiring Linkup’s first GTM Engineer — a technical builder who will architect the systems powering how we grow, learn, and engage with users.

This role sits at the intersection of data, automation, and go-to-market strategy
. You’ll build the connective tissue between our external growth (outbound, inbound, marketing) and internal success (sales, product, and forward-deployed engineering).

You’ll automate how we find, qualify, and reach new users; identify how Linkup delivers value to users; and ensure those learnings flow back into our marketing, sales, and product loops.

It’s a high-impact, high-ownership role — you’ll work directly with the founders to define how Linkup scales.

What You’ll Do
  • Build scalable growth systems — from outbound automation to usage-based lead scoring and CRM enrichment.

  • Design and maintain integrations across our GTM stack (Attio, Slack, Notion, Linked In, internal APIs, etc.).

  • Feed qualified leads to the sales and forward-deployed teams through automated workflows and analytics.

  • Build automation that captures and structures signals from new users to drive conversion and engagement and support product specialists.

  • Build systems that support retention, expansion and customer-success outreach (e.g., detecting churn risk, triggering re-engagement)

Why This Role Matters

This is the first GTM engineering role at Linkup — the bridge between our growth engine and our product.

You’ll connect the dots between who discovers Linkup, how they use it, and what makes them successful.

By automating our growth stack and uncovering patterns in user behavior, you’ll give our sales, marketing, and forward-deployed teams the leverage they need to scale impact.

If you love blending code, data, and storytelling to drive growth, this role was made for you.

You’re a Great Fit If You
  • Have 2 years+ relevant experience, ideally in fast-growing technology/SaaS company.

  • Hands-on with modern GTM stacks (CRM, APIs, enrichment tools, workflow automation).

  • Comfortable with Python, SQL, and API integrations — bonus for experience with LLM or search APIs.

  • Demonstrated ability to turn messy data and processes into scalable systems that drive pipeline or adoption.

  • Want to work with important ownership in a high intensity
    , fast moving environment.

  • Are excited to help build Google for AI agents and believe in Linkup’s mission.

Example Projects
  • Build an autonomous outbound sequence combining Linked In, email, and product usage signals.

  • Design a pipeline that analyzes prospect queries and crafts personalized reach-outs.

  • Use our internal web index to identify similar companies to top users — and contact them automatically.

  • Connect CRM and product data to prioritize high-intent accounts in real time.

  • Run experiments to uncover the highest-performing messaging, timing, and channels
    .

  • Create inbound automation to surface product insights for forward-deployed teams.

Our Stack
  • Node.js / NestJS

  • Python

  • Java

  • PostgreSQL

  • RocksDB

  • Vespa

  • Apache Storm

  • vLLM

  • Kubernetes

  • Git Hub Actions

  • Terraform

Details

The ideal candidate will play a central role in our GTM team, partnering closely with the founders to spearhead groundbreaking products. Your expertise will shape the future of AI‑powered applications and bring our vision to life.

We offer a flexible remote‑work policy- see the details here.

Join us and leverage your expertise to push the boundaries of AI!

About Linkup
Our Vision

We believe in a future of AI agents and the agentic web
. These digital entities can create more value for humanity than we ever could alone, but they depend on the internet to operate, collaborate, take action, and gather information.

AI agents need web search
. To perform well, they require information that is current, reliable, and context‑specific—not the diffuse, steadily aging knowledge frozen at their last training cut‑off.

Modern web search is built for humans, not AIs
. Instead of trusted facts, it serves links, ads, and click‑bait. People want visually engaging pages; AI systems need structured truth. An AI can absorb oceans of data, while human attention barely skims the surface. Humans think visually and intuitively; AI reasons in latent space.

Web 2.0 is sun setting
.…

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