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Marqeta Inc

GTM Engineer

Remote - USARemote · United States
FullTime · All Cost Centers
POSTED 9 SEPTVERIFIED 14H AGO
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Role
61 days opentrue age
Posted 9 Sept
Pay
$126k–$200kno pay posted
$126k$200k
Market p25–p75
$126k–$200k
H-1B median · Software engineering
$149k
United States · n=5885 · 365d to 6 Nov
CompanyMarqeta Inc →
37open roles
Opened · 30d
+0
Closed · 30d
−0
3d of snapshots · 30d window
Market
37,649open · Software engineering
Opened · 7d
+2,3846% of open
All software engineering
75,164open
All tracked boards · live 10 Nov · n=37,649
Visa
35H-1B LCAs · FY26
PERM · FY26
16
Median wage
$158k
LCAs FY26 · n=35 · to 2026-06-30
JavaScriptPythonLLMs

Marqeta is looking for a GTM Engineer to build and operate the systems that power our go-to-market motion. This is a hands-on, builder-first role centered on Clay, where you'll architect enrichment, scoring, and signal pipelines, then extend them with AI tooling and connect them into Apollo, Marketo, Salesforce, Demandbase, Gong, and the rest of our marketing technology stack.

Sitting within Marketing Operations, you'll work at the intersection of Marketing, Demand Generation, Sales, and RevOps turning GTM strategy into working infrastructure that helps our teams find, prioritize, and engage the right accounts faster, and continuously iterating on that infrastructure as our roadmap evolves. The ultimate goal is to find the most efficient and scalable methods for delivering pipeline to Marqeta.

We work Flexible First. This role can be performed remotely only in one of our National locations, which you can review here.

The Impact You'll Have

Partner with Marketing Operations, Sales, Demand Gen, Analytics, and RevOps to translate GTM strategy and campaign requests into scoped, buildable technical requirements, and troubleshoot issues as they arise

Design and maintain multi-step Clay tables and workflows for lead and account enrichment, waterfall data sourcing, intent signals, scoring, and list building

Build agents that trigger sales and marketing actions off of signals, such as funding events, hiring changes, tech stack changes, intent data, and Gong call insights

Build and maintain GTM workflows across PPC and ad platforms (LinkedIn, Demandbase Ads, Reddit, etc.), using Clay as an orchestration layer that moves accounts between platforms as they progress through funnel stages, optimizing spend and performance rather than treating enrichment and scoring as standalone steps

Run and continuously refine ABM motions against a defined target account list, including how those accounts are identified, scored, and targeted over time

Own the ongoing health of existing workflows: monitor and QA for data quality and deliverability, improve process efficiency, and maintain documentation and version control (naming conventions, change logs, table architecture notes)

Track outbound and sequence performance (reach, response, and pipeline influence) and use that data to iterate on scoring, targeting, and messaging logic

Evaluate new AI tools and enrichment providers, and pilot integrations that improve the speed or accuracy of existing workflows

Who You Are

4+ years of experience in a GTM Engineer, RevOps, Marketing Ops, or Growth Engineering role

Hands-on experience building in Clay, including Audience builds, Clay Ads, enrichment providers, formulas, and multi-step/chained workflows

Practical AI fluency: experience with LLMs, prompt engineering, and agent orchestration and evaluation loops, with a track record of shipping AI-powered workflows for enrichment, research, and personalization at scale

Experience with CRM platforms such as Salesforce (or similar) and marketing automation platforms such as Marketo (or similar)

Comfort with APIs, webhooks, and basic scripting or data transformation (JavaScript, Python, or JSON) to extend automations beyond native integrations

Strong data hygiene instincts and a systems-thinking mindset, able to spot a manual, repetitive GTM process and design an automated, end-to-end replacement

Strong communication and problem-solving skills, with the ability to work effectively across cross-functional teams such as Analytics, Web, and Demand Generation

Hands-on experience with intent data and signal-based / ABM go-to-market motions

Nice-to-Haves

Hands-on experience with sales/GTM tools such as Apollo, Demandbase, Gong, or Chilipiper

Analytics or attribution tool experience (e.g., Looker, Tableau, or similar)

Experience in fintech, payments, embedded finance, SaaS, or financial services

Experience working in global markets (North America / Europe)

Compensation and Benefits

Marqeta calibrates pay to a competitive value according to working location. Compensation is aligned according to three tiers within the United States:

Source · Marqeta IncFirst seen 2 NovOriginal ↗