Applied AI Software Engineer, GTM
Antithesis27 days ago
Base Salary
$155k - $185k/yr
Responsibilities
- Partner with Sales, Marketing, and RevOps to understand workflows and identify opportunities for technology-driven improvements.
- Design, build, and ship full-stack AI products for non-technical teams.
- Develop agent workflows, automations, research and enrichment tools, account-scoring systems, and other GTM applications.
- Make pragmatic build-versus-buy decisions across existing tools, agent skills, custom integrations, and full applications.
- Integrate with GTM business systems and collaborate with RevOps on production applications.
Requirements
- 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.
- Experience working directly with non-technical users to understand 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, with the ability to balance rapid experimentation and production reliability.
- Experience with TypeScript, React, LangChain, and AWS is helpful but not required.
Benefits
- Collaborative team supporting a rapidly growing sales organization.
- Access to tools, teammates, and experts for portfolio-worthy work.
- Opportunity to explore AI in an environment that does not tolerate workslop.
Tech Stack
Categories
About Antithesis
Antithesis builds a deterministic simulation and autonomous testing platform for software teams building complex systems. It runs full-stack services in a controlled environment, injects faults and toxic inputs, and produces reproducible bug reports with root-cause analysis, integrating into CI and developer workflows. The company is privately held and headquartered in Vienna, Virginia, and sells its platform and expert engineering services to enterprises that need faster, more reliable releases.