You’ll also be a technical resource our Growth and Sales teams can bring directly into prospect conversations. As an AI-native insurance brokerage, we can offer operators something valuable: access to an engineer who can answer their questions, demonstrate useful approaches, and help them apply AI to their own workflows.

Hands-on building and prospect conversations are both substantial parts of the job. We’re looking for someone who enjoys writing software and can bring that same confidence and clarity to a room of nontechnical operators.

What You'll Do

• Own engineering execution. Partner with Product on defined projects and take responsibility for implementation. Build AI-powered tools, applications, scripts, and integrations; make technical decisions; and own debugging, testing, deployment, and iteration.
• Build AI workflows that work in practice. Connect LLMs, APIs, and business data to solve concrete workflow problems. Evaluate outputs against real examples, handle errors and edge cases, and improve reliability as people use what you build.
• Help Sales secure the next call. Join prospect conversations and email threads to answer technical questions, work through specific problems, and demonstrate useful applications of AI. Help Sales turn that value into a concrete next step: a working session, a tailored demonstration, or a deeper conversation about WithCoverage.
• Teach in plain language. Give nontechnical operators practical advice they can apply to their businesses. Walk them through tools, demonstrate approaches using relevant examples, and help them understand how to use AI effectively and check its work.
• Be the technical expert on the call, and build after it. Understand enough of a prospect’s workflow to give sound technical guidance. When follow-up calls for a working example, build a prototype, script, or lightweight tool using relevant sample data and documents.
• Keep the work useful and maintainable. Document what you build, reuse components where it makes sense, and communicate technical constraints and implementation tradeoffs to Product and Core Engineering.

Who You Are

• 4+ years of technical experience, ideally including time in an AI or analytics practice at a consulting firm (QuantumBlack, BCG X, Bain Vector, Accenture, or similar) or in a forward-deployed / solutions engineering role
• You've built AI-powered things that real people used. Prompt engineering, retrieval, agents, evals. It doesn't need to have been at a massive scale, but it needs to have been real.
• You can explain how an LLM works to someone who has never written code, and they leave feeling capable rather than lectured to. This is the single most important qualification.
• Genuinely strong client instincts. You can read a room, handle a skeptical executive, tell someone their idea won't work without losing them, and know when to stop talking.
• You want to be on calls and in rooms. This is a people-facing job that happens to require an engineer, and roughly half your week looks like that.

For candidates based in the United States, the expected base pay range for this position at the start of employment is $140,000 – $170,000/year + equity on top of it. Actual compensation will vary based on individual factors, including market location, relevant experience, and role scope. In addition to base salary, this role is eligible for variable compensation tied to performance or quota attainment, where applicable. WithCoverage’s Total Rewards package for full-time employees also includes equity participation and comprehensive benefits. If you’re excited about the role but your compensation expectations are outside this range, we’d still love to hear from you; final offers reflect experience, scope, and leveling.

What We Offer:

• Competitive compensation that includes equity
• Comprehensive benefit plans for medical, dental, vision, life, and disability
• Pre-tax accounts (FSA, HSAs, dependent care FSAs, commuter savings)
• Human Interest: 401(k) provider
• Time Off: Flexible time off, sick leave, family and medical leave, and major national holidays
• A curated in-office employee experience, designed to foster community, team connections, and innovation
• Collaborative, transparent, and fun culture