GTM Engineer

nash.ai; United States; Remote; USD 140,000 - 220,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

Flexible paid time off

Equity

Job summary

Nash is building a unified, AI-powered GTM platform that connects the CRM, enrichment, engagement, and outbound agents. We are hiring a GTM Engineer to run the motion, turn data into a reliable engine, and scale the pipeline and revenue.

You will own the account context layer, build integrations, and ensure the system stays current and accurate across the stack. Join a fast-growing, AI-native logistics platform.

Qualifications

• A go-to-market record: outbound, paid, ABM or lifecycle programs with the pipeline they produced.
• Shipped and running software: a service or pipeline in production that others depended on.
• Outband that scales with buyer changes and response data.
• Paid media budgets and audience-building experience.
• Hands-on AI in GTM systems: agents, LLM automation, and evals.
• Fluency in Python or TypeScript and daily work with Claude Code or Cursor.
• Integration experience: API, auth, rate limits, sync direction and failure modes.
• Salesforce developer experience: data model, API, Apex, or strong potential to pick up quickly.
• Data fluency: SQL and data warehouse concepts.
• Ability to turn vague requests into scoped work and explain tradeoffs.

Responsibilities

• Build and run the AI agents across the GTM motion from design to evals and rollout.
• Create infrastructure to run paid and ABM as one system with CRM-derived audiences.
• Own the account context layer: entity resolution, provenance, and segment rules.
• Make GTM OS capabilities available inside sales and marketing tools.
• Own sending infrastructure and deliverability: domain strategy and reputation.
• Ensure production readiness with evals, observability, and auditability.
• Measure impact: pipeline, meetings, revenue, and cost per account worked.

Skills

Python or TypeScript

AI/LLM integrations

API integrations

Salesforce/Apex

SQL

Data quality tracing

GTM engineering

Tools

Claude Code

Cursor

Job description

THE ROLE

Growth owns the systems that power our go-to-market motion: our CRM, connected to enrichment, sales engagement, outbound agents, lifecycle, routing, visitor intelligence and paid, with GTM OS, our internal platform, tying them together. We are hiring a GTM Engineer to run that motion and build the agents and data layer it depends on.

Nash builds the autonomic logistics platform: a system that senses what is happening across a network, decides what to do about it and adjusts as the results come back, without waiting to be told. Our go-to-market should run the same way. A signal comes in, an agent decides what to do with it, the rep gets the account ready to work, and every outcome writes back so the next decision is better than the last.

Most of the pieces exist. GTM OS is in production, the agents run, the stack is connected. Your job is to turn them into one reliable engine that produces pipeline, hold it to a production bar, then decide what it does next.

WHAT YOU'LL DO

• 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
• 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
• 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
• Build on GTM OS, our internal platform, and make what it can do available to sales and marketing inside the tools they already use
• 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
• Own sending infrastructure and deliverability: domain strategy, warming, suppression and sender reputation across every program that sends
• Hold the production bar: evals, observability, permissions and auditability, so the system reports its own failures before a rep finds them
• 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

WHAT YOU'LL BRING

• 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 judgement 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

More about Nash http://Nash.AI

NASH IS THE PLATFORM THAT POWERS MODERN LOGISTICS.

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.

WHAT YOU’LL LOVE ABOUT US

• 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