Applied AI Software Engineer, GTM

Vienna, VA, USAfull timeOn Site

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mid

$155k–$185k

H1B: no

Antithesis Applied AI Software Engineer building AI-native products for go-to-market and marketing teams. Design and ship full-stack AI applications to improve workflows for non-technical users.

Responsibilities

We’re hiring an Applied AI Software Engineer to build AI-native products to help our go-to-market and marketing teams.
You’ll work at the intersection of software engineering, applied AI, data, and GTM operations.
Work directly with Sales, Marketing and RevOps to understand how they work, where they get stuck, and how they could do more with technology.
Design, build, and ship full-stack products that use AI to help non-technical teams get work done.
Build everything from lightweight agent workflows and automations to production applications for research, enrichment, account scoring, and other GTM problems.
Make pragmatic build-versus-buy decisions. The right solution might use an existing tool, a reusable agent skill, a custom integration, or a full application.
Partner with RevOps to integrate with the systems that GTM teams use like Salesforce, Marketo, and Gong.

Qualification

Strong product and engineering judgment

Required

4+ years of professional software engineering experience
Experience shipping an LLM-powered product, feature, or workflow for real users
Experience working directly with non-technical users to improve products
Experience integrating with business systems such as Salesforce, HubSpot, Gong, Slack

Preferred

4+ years of professional software engineering experience, including independently shipping and operating production systems.
Experience shipping an LLM-powered product, feature, or workflow for real users. You understand the difference between an impressive prototype and a system people can depend on.
Experience working directly with non-technical users to understand their workflows, test ideas, and improve products through feedback.
Experience integrating with business systems such as Salesforce, HubSpot, Gong, Slack, or data-enrichment platforms.
Strong product and engineering judgment. You can move quickly when the problem calls for an experiment and build for reliability when the solution becomes business critical.
Our current stack for internal GTM applications includes TypeScript, React, LangChain, and AWS. Experience with these tools is helpful, but we care more about strong engineering fundamentals and the ability to learn.

Company

Antithesis

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Source: ashby

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