<aside> ⤴️
Back to civicreach.ai
</aside>
Full-time, Remote, U.S. (with a preference for candidates based in the Research Triangle, NC or Southern California)
Compensation: $180,000 - $230,000 plus meaningful founding-engineer equity
Visible or not, your life, like everyone’s around you, is continuously and seriously shaped by the government services you receive. Whether it is a phone call about benefits, a form to stay enrolled in a program, a missed voicemail from a local agency, or a long wait to get a simple answer, how government serves people changes daily lives and lifetime outcomes.
At CivicReach, we are building technology that helps people get the critical services they need.
Our focus is the social safety net. We work with government agencies and nonprofit organizations that help residents navigate benefits, housing, food, child welfare, community resources, and other essential supports. These agencies are facing overwhelming demand, limited staff, outdated systems, and rising expectations from the communities they serve.
CivicReach helps them answer every call, understand what residents need, complete screenings, make referrals, route urgent issues, and capture real-time service needs without forcing staff to do more with less.
We are evolving quickly. We have customers across 6 states, and our product is live and serving thousands of people every week. We are operating critical systems for agencies and helping people get the help they deserve every day.
We have a lot of work to do. We are looking for exceptional folks who care a whole lot about fixing the systems that deliver help to folks in this country.
You will be our Product Engineer, an AI builder and CivicReach’s second engineer. You will work directly with our technical CEO and our Head of Engineering. Your job will be to turn our foundational platform into many product lines with many more use cases for everyone we serve.
You will build customer-facing AI capabilities that help agencies serve their communities better. You work across the stack, build clarity, think ambitiously and empathetically about users, understand how and why AI systems behave the ways they do, and use all of those skills to ship product in messy real-world conditions.