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Lead Software Engineer, AI-Native

Remote / Online - Candidates ideally in
Louisiana, USA
Listing for: FreeWill
Remote/Work from Home position
Listed on 2026-10-15
Job specializations:
  • Software Development
    Software Engineer, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 190000 - 210000 USD Yearly USD 190000.00 210000.00 YEAR
Job Description & How to Apply Below
About Us

Free Will is an award-winning, social-good startup that has partnered with 2,400+ nonprofits who support our mission while generating $15B in gift commitments for nonprofits since we were founded in 2017. We’ve been featured in the New York Times, Forbes, Oprah’s magazine, and our co-CEOs have even been named to Town & Country’s “Top 50 Philanthropists” list.

All of this is because we’ve figured out how to make some powerful (but complicated!) ways to donate much easier and more accessible. Our products make things easier for the donors who want to change the world and for nonprofits doing heroic work around the planet. We partner with nonprofits of all sizes to diversify fundraising across individual and institutional giving, from legacy gifts and tax-smart donations to foundation, corporate, and government grants.

In the last 9 years, we’ve grown from 5 people to 200+ (all smart, tenacious, and kind), and continue to grow. We’d love to have you be a part of this adventure. We were named a "Most Loved Workplace" by both Newsweek and Best Practice Institute and the 2025 Most Loved Workplaces® for Diversity by the Best Practice Institute. In 2026, we were named as one of Forbes' Best Startup Employers.

Curious about company culture and management at Free Will? Check out the 2025 Best Manager Ever podcast featuring Anthony Sottile, Free Will's VP of Partner Success on either Spotify or Apple.

About the Role

We’re looking for a Lead Software Engineer (AI-Native) to help us reimagine how software is built at Free Will.

You will operate as an orchestrator of AI development systems — leveraging tools like Claude Code,Codex,Cursor, and other emerging AI-native tool chains — to rapidly rebuild and evolve our existing products. You will work in a lean, 3-4 person development pod where success is measured by how effectively you:

  • Translate product requirements into clear, spec-driven development workflows

  • Use AI systems as a force multiplier for speed and quality

  • Rapidly ship production-ready systems that improve user outcomes

This role reports into the R&D organization (Senior Engineering Manager) and will partner closely with product and design to deliver high-impact improvements to our existing user experiences. Together with your teammates, you will help define the AI-native playbook for how Free Will builds software with AI going forward.

Free Will has set compensation bands for fairness and transparency. We don’t think that an individual’s pay should be determined by how comfortable they are negotiating, so we like to be up front. The salary range for this role is $190,000 to $210,000 (plus equity and benefits).

Why This Role Is Different

This is a system orchestration engineering role. You are not just writing code — you are:

  • Defining how engineering gets done in an AI-first world

  • Designing systems that write code with high internal coherence

  • Building at 5x traditional speed with lean dev teams

If you’re excited about redefining how software development is done—removing toil, increasing time in the zone, and leveling up our engineering department through mentorship—this role is for you.

Responsibilities
  • Lead AI-native software development workflows using tools like Claude Code/ Codex/Cursor to generate, iterate on, and ship production code

  • Mentor engineers across R&D on AI-native development practices — distill what you learn in your pod into patterns others can adopt

  • Translate product requirements into clear technical specs, prompts, and system instructions that guide AI-driven development

  • Own end-to-end delivery: from spec → agentic AI-written implementation → automated validation → production rollout

  • Build the harness engineering practices — embedding learnings into a clear, repeatable structure…

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