Sales Engineer
New
W
WarpAI development software
Remote within US and CanadaFull-TimeSenior
Salary$170,000 - $220,000
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Job Details
- Experience
- 6+ years in a sales engineering, solutions engineering, or technical customer-facing role
- Required Skills
- Software Engineering
Requirements
- Have 6+ years in sales engineering, solutions engineering, or a technical customer-facing role.
- Have experience selling and implementing technical SaaS; developer tools, DevOps, infrastructure, or AI products are ideal.
- Have a software engineering background and be able to read a codebase, debug an integration, and investigate technical challenges.
- Have hands-on experience with AI coding agents and LLMs, and an informed view of where agents work well and where they do not.
- Have experience leading POCs and navigating enterprise security and compliance reviews.
- Be able to explain complex technical concepts to engineers, engineering leaders, and non-technical stakeholders.
- Be highly organized and able to manage multiple technical evaluations at once.
- Be comfortable building processes at an early-stage startup where the playbook is still being written.
- Have integrated AI into your daily workflows.
- Experience bringing a new product category to market is a bonus.
- Experience selling to platform engineering or developer productivity teams is a bonus.
- Experience building agentic workflows that automate processes in a large enterprise environment is a bonus.
Responsibilities
- Run technical discovery, demos, and deep-dives with engineering leaders, platform teams, and individual developers.
- Work through security reviews, compliance questionnaires, and architecture questions to unblock Factories in enterprise environments.
- Build and refine the technical sales playbook, including demo environments, POC frameworks, and reusable collateral.
- Scope and lead POCs and pilots that show measurable impact in a customer’s codebase and workflows.
- Help customers configure Factories, including agent workflows, model and harness choices, integrations, and self-hosted or bring-your-own LLM setups.
- Define success criteria with customers and build the business case around automation rate, SDLC velocity, cost-to-quality tradeoffs, and time saved.
- Handle technical implementation and onboarding to get teams to a technical win quickly.
- Surface patterns from enterprise evaluations to product and engineering teams.
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