The Carlyle GroupBuilds for teams inside the company
Forward Deployed Product Engineer
Washington, DCHybrid
$210,000–$220,000
Updated
$214,000–$245,000Austin, TX · Chicago, IL · +2 moreAustin, TX +3HybridStaff
Staff Full Stack Engineer responsible for building and owning AI-native internal platforms that help go-to-market teams manage pipeline, analyze performance, and automate operational workflows.
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$214K–$250KLevel with the median
Median $223K
This job$214K–$250KTypical staff+ FDE payMiddle 50% of 417 postings$190K–$258KBuilds for teams inside the company
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Posted by Upside on
We created Upside to transform brick-and-mortar commerce. Our technology uses the sophistication of online retail—profit measurement, attribution, and incrementality—to provide users with more value on their everyday purchases and brick-and-mortar businesses with new, profitable customers. We’ve helped millions of users earn 2 to 3 times more cashback than any other product, and hundreds of thousands of brick-and-mortar businesses earn measurable profit. Billions of dollars in commerce run through the Upside platform every year, and that value goes directly back to our retailer partners, the consumers they serve, and important sustainability initiatives.
Upside is building a new generation of internal platforms that help our go-to-market teams operate more efficiently and make better decisions. In this role, you will design and build AI-native systems that improve how revenue teams manage pipeline, analyze performance, and automate operational workflows.
You will work at the intersection of engineering, AI, and business operations, building systems that support how Upside acquires merchants, serves partners, and scales its go-to-market motion. You will help shape the architecture and technical direction of these platforms as they grow.
This role is a strong fit for engineers who are curious about how GTM teams operate and who enjoy turning business workflows into reliable, well-designed software. We are looking for someone who has put modern AI tools to work on real operational problems and who likes owning systems end to end.
We don't expect experience with all of these. We're excited to work with engineers who have used them or want to learn: React, TypeScript, Next.js, Python (FastAPI), PostgreSQL, Supabase, Vercel, and modern API-driven architectures. We also use a range of AI tools across our development workflow, including OpenAI and GitHub Copilot.
This hybrid role is based in our Austin, Chicago, DC, or NYC office. In-office attendance is required on Monday, Tuesday, and Thursday and may increase based on project-based needs and changes to Upside’s in-office policy over time.
Compensation:
The US base salary range for this full-time position is $214,000 - $250,000 + equity + benefits. The final starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. Your recruiter can share more about the specific salary range during the hiring process.
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Diversity drives innovation, and our differences make us stronger. We‘re passionate about building a workplace that represents a variety of backgrounds, skills, and perspectives, and we do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Everyone is welcome here!
If there's anything we can do to support a disability or special need during your application or interview process, please email accommodations@upside.com.
This email is for accessibility accommodations only, it should not be used to submit job applications.
This is an in-house search with a dedicated recruiter. Please do not submit resumes to any person or email address at Upside. Upside is not liable for, and will not pay, placement fees for candidates submitted by any party or agency other than its approved recruitment partners.
The Carlyle GroupBuilds for teams inside the company
Washington, DCHybrid
$210,000–$220,000
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Jones Lang LaSalle (JLL)Builds for teams inside the company
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$150,000–$300,000
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