Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4348652991&distance=25&f_AL=true&f_TPR=r20000&f_WT=2&geoId=103644278&keywords=software%20engineer&origin=JOB_SEARCH_PAGE_JOB_FILTER&refresh=true Job Description: Forward Deployed Engineer United States · 5 hours ago · 47 applicants Promoted by hirer · No response insights available yet $180K/yr - $250K/yr Remote Matches your job preferences, workplace type is Remote. Full-time Easy Apply Save Save Forward Deployed Engineer at scalr Forward Deployed Engineer scalr · United States (Remote) Easy Apply Save Save Forward Deployed Engineer at scalr Show more options Your profile is missing required qualifications Show match details Help me update my profile BETA Is this information helpful? Get personalized tips to stand out to hirers Practice mock interviews personalized to every role and get custom feedback Try Premium for PKR0 Meet the hiring team Zack Puzey 3rd Founder @ scalr - Fuelling fast growth teams with exceptional technical talent. Job poster Message About the job Forward Deployed Software Engineer US / Canada - Remote $180K-$250K base + equity My client is made up of a team of engineers from Palantir, Scale AI, McKinsey and other top-tier tech groups, building high-impact data and AI solutions for major orgs. They move with product-startup speed, focus on practical outcomes and work across finance, defence and healthtech. You’ll work directly with customers to understand their most important problems, then design and build end-to-end solutions that drive real operational impact. The role blends engineering, product thinking and close collaboration with operators and executives. What You’ll Do: Build workflows, applications and data products using Python or TypeScript Work with large structured and unstructured datasets Embed with users to understand real workflows and pain points Ship quickly, iterate fast and deliver measurable outcomes Build across modern data and AI platforms (AIP, Foundry, cloud) Looking For: Strong Python or TypeScript Experience working with large datasets Ability to own solutions end-to-end Comfortable working directly with stakeholders Fast, practical, outcome-oriented problem solver Why: Elite engineering team (Palantir, Scale AI, McKinsey) Fast-moving, high-ownership environment Real impact on customer operations Exposure to finance, defence and healthtech