GTM Engineer

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  Build and run the AI agents that work across our GTM motion: account research, signal qualification, message construction, routing and reply handling, from design through evals, rollout and the monitoring that keeps them honest

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  Build the infrastructure to run paid and ABM as one system: audiences generated from the CRM, campaigns launched and paused by rules you write, engagement flowing back into the agents, and spend tied to accounts worked and pipeline created

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  Own the account context layer every agent and campaign is grounded in: entity resolution, evidence typing, freshness and provenance, and the segment, industry, region and product rules that define our market

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  Build on GTM OS, our internal platform, and make what it can do available to sales and marketing inside the tools they already use

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  Be the technical owner of our go-to-market systems, the CRM and everything connected to it, from the data model and routing logic to the integrations and automations that keep the whole stack current and consistent

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  Own sending infrastructure and deliverability: domain strategy, warming, suppression and sender reputation across every program that sends

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  Hold the production bar: evals, observability, permissions and auditability, so the system reports its own failures before a rep finds them

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  Be measured on what the motion produces: reply and meeting rates, pipeline and revenue, cost per account worked. Agent reliability and data quality are how you get there
  
  

• A go-to-market record: outbound, paid, ABM or lifecycle programs you ran, with the pipeline they produced and the systems you built to run them

• Software you shipped and kept running: a service, agent or pipeline in production that other people depended on, with something we can look at

• Outbound that scales and still reads like a person: sequences triggered by something that just changed for the buyer and tied to what we sell, reply rates to show for them, and the judgment to pull apart a message that is not landing

• Paid media fluency: you have run budgets and built audiences, and you know which decisions should stay with a person

• Hands-on experience applying AI to go-to-market systems: agents, LLM-based automation, MCP-style integrations, and the evals that tell you whether any of it works

• Fluency in Python or TypeScript, and daily work with Claude Code, Cursor or equivalent, with specific opinions about where the tooling fails

• Integration experience: you have built and debugged integrations through APIs and understand auth, rate limits, sync direction and failure modes

• Salesforce as a developer: the data model, the API, and Apex, or the track record to pick it up fast

• Data fluency: SQL, warehouse concepts, and the habit of tracing a data quality issue from source to destination

• You can turn a vague request into scoped work and explain the tradeoffs

Send us your resume, links to things you have built and kept running (a repo, a live service, an agent, a sequence with its results), and a short note on the system or motion you are most proud of and why. If you would rather skip the cover letter, send a Loom walking us through a piece of work, or a Replit prototype of a GTM agent you would build for Nash. Both are very much encouraged.

Want to grab our attention and bypass the recruiting platform? Record a video introducing yourself at testimonials.nash.ai with code JOIN-NASH. Your application notifies us in Slack the moment it lands, and we get some much needed testing coverage on our latest Claude build :)

More about Nash

Commerce has inverted. For decades, customers came to where products and services were. Now products and services come to them, on their terms, in real time. That shift has turned every company into a logistics company, even though almost none of them were built to be one. Couriers, fleets, gig workers, parcel carriers, in-store labor, and increasingly autonomous systems all have to be coordinated in real time, against tighter windows and rising expectations, with hard-fought customer trust on the line.

Nash unifies decisioning, execution, and capacity into a single programmable platform. Real-time, AI-native intelligence determines what should happen, operational control executes it, and the platform dynamically orchestrates capacity from any source: a company's own fleets, partners, or the Nash delivery network. Whether a job involves a courier, a gig driver, an internal fleet, a store employee, a technician, or an autonomous vehicle, Nash selects the right resource and manages execution through completion.

We power delivery and logistics for some of the most recognizable brands in commerce, including Walmart, Urban Outfitters, 7-Eleven, and Woolworths, alongside platforms like Shopify and Toast. Over the next decade, logistics will become as foundational to commerce as payments, cloud, and connectivity. Nash is the platform that powers it.

Nash was founded in 2021 by Mahmoud Ghulman (2x Founder, MIT) and Aziz Alghunaim (2x Founder, 2x YC, Ex-Palantir, MIT) and is backed by Y Combinator, a16z, and other top investors. We are headquartered in San Francisco.

✅ Early-stage, well-funded startup – directly impact the company and grow your career!
✅ Quarterly broader team on-sites to bond with teammates
✅ Competitive compensation and opportunity for equity
✅ Flexible paid time off
✅ Health, dental, and vision insurance for US employees