GTM Engineer
Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 10, 2026.
GTM Engineer
Location
In-Person (4 days a week), NYC
Compensation
$160-$180K, 0.05-0.1%
About Shade
Shade is scaling and fast. In a year and half, we’ve built out the combined tech of FrameIO (acq by Adobe for $1.275B) and LucidLink ($40M ARR) while combining it with proprietary AI search/labeling. We handle thousands of hours of video and tens of millions of requests every day, and we’re a critical piece of infrastructure for post-production houses, creative agencies, sports teams, and internal media teams at large companies. Customers include Meta, The New York Times, Grüns, HelloFresh, and Clay. We’re growing 150% QoQ, 120% NRR.
Backed by Khosla Ventures, General Catalyst, Contrary, Signalfire and Bling
Shade is built on Python, NodeJS, NextJS, and C++ with a postgres database.
What you’ll own
We're looking for a GTM Engineer to own the systems and data behind Shade's go-to-market as we scale rapidly. You'll build the tools our sellers run on, the signals platform that feeds our BDRs, and the data foundation that tells us what's working across marketing, sales, and customer success. Today, our GTM runs on great people and a patchwork of tools. Your job is to turn that into a connected system where reps move faster and leadership always knows why the numbers look the way they do. This is a builder seat with an analyst's mind. You'll write the code, ship the tools, and own the diagnosis. You'll work directly with our CEO.
Own all GTM tooling and systems across sales, marketing, and customer success.
Build full stack internal tools for the sales team across BDR, AE, and AM functions: automated call review, deal management, CRM hygiene, and next-step prompts
Build our signals platform that ranks accounts for BDRs using intent, product usage, and engagement signals
Own call intelligence end to end: sync every sales call, customer call, and user interview, and extract product, interview, and competitive insights
Our core tenets for design are
Keep dependencies as minimal as possible
You are the summation of your subprocessor’s/dependencies issues. To build a durable and reliable company you must be deliberate when you add dependencies and control the vision of all the code you ship.
Monolith > microservices. Transactional everything requires one database.
Solve the core issue. Don’t invent a bandaid
Ex: if a database query is slow and address it directly rather than reaching for a cache.
The simplicity of
fs.readFile()always winsHave you tried to access files in a dropbox local drive in your programs? It doesn’t work. Files must be manually downloaded in their entirety to be accessed. We’ve built Shade to be accessible like a hard drive where files are streamed. Building an AI video editor? Works with Shade. Using n8n automations? Works with Shade. Using Davinci resolve? Works with Shade.
Our core tenets for the team are
When we hire we like to keep those hires. Because of this we offer benefits on top of salary + equity
Free lunch (<$30) & free dinner (<$30) if you stay more than 9 hours
Fully covered health insurance including dental and vision
401k with % match
Unlimited PTO
Lifetime gym membership
Commuter benefit for subway
Shipping code happens in person
Qualifications
The greatest qualification in our eyes is that you can ship and maintain high volumes of quality code. This role is focused on improving the systems and processes that we run our business, on high quality analytics and useful data. If you’ve built side projects that are used by thousands of people or worked at companies where you’ve owned features end to end then we’re probably excited about you. What (we think) this looks like in bullet points:
2+ years of full-stack, full-time engineering experience, ideally working closely with sales, marketing, or growth
Experience at a startup
Experience with typescript/react/nextjs/tanstack
Strong Python and SQL, with experience in BigQuery or another data warehouse
LLM and agent engineering experience
Understanding how a GTM team runs (pipeline stages, handoffs, forecasting, renewals) well enough to spot where reps lose time and where revenue leaks
Based in NYC