Company Name<\/strong><\/td>\n| NxT Level<\/td>\n<\/tr>\n | Job Role<\/strong><\/td>\n | Software Engineer Marketplace<\/td>\n<\/tr>\n | Qualifications<\/strong><\/td>\n | Not specified<\/td>\n<\/tr>\n | Category<\/strong><\/td>\n | I<\/td>\n<\/tr>\n | Job Type<\/strong><\/td>\n | Full Time<\/td>\n<\/tr>\n | Location<\/strong><\/td>\n | San Francisco, CA, United States<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n | Software Engineer, Marketplace<\/strong><\/p>\n Employment Type:<\/strong> Full-time About Our Client<\/strong><\/p>\n Our client is building technology that connects specialized domain experts with complex projects at scale.<\/p>\n Their platform helps identify, assess, onboard, and match experts with opportunities, using AI and automation to make the process faster, more efficient, and more scalable.<\/p>\n As the company grows, they’re investing in the infrastructure that powers expert acquisition and deployment, replacing manual workflows with intelligent systems.<\/p>\n About the Role<\/strong><\/p>\n Our client is hiring a Software Engineer, Marketplace and Growth Infrastructure<\/strong> to build the internal platforms and automation systems that power its expert marketplace.<\/p>\n This is not a traditional growth engineering role focused on marketing experiments or conversion optimization. Instead, you’ll build the software that enables growth teams to recruit, interview, assess, onboard, and match experts with customer projects.<\/p>\n You’ll own full-stack systems end-to-end, including AI-powered interviewing, expert management platforms, internal automation, and eventually machine learning-driven matching and recommendation systems.<\/p>\n This is a high-ownership role with direct exposure to business operations and opportunities to build products that dramatically increase team productivity.<\/p>\n What You’ll Do<\/strong><\/p>\n Build and scale the infrastructure powering expert acquisition, assessment, onboarding, and project matching.<\/p>\n<\/li>\n Develop internal platforms for managing experts, applications, interviews, and project assignments.<\/p>\n<\/li>\n Build AI-powered interviewing and assessment tools.<\/p>\n<\/li>\n Create outreach automation and recruiting workflows that reduce manual work.<\/p>\n<\/li>\n Develop systems that match experts to projects based on skills, availability, and fit.<\/p>\n<\/li>\n Partner directly with growth teams to identify operational bottlenecks and build solutions.<\/p>\n<\/li>\n Instrument acquisition and onboarding funnels to measure performance and identify improvements.<\/p>\n<\/li>\n Build internal tools that increase operational throughput and reduce repetitive processes.<\/p>\n<\/li>\n Help develop ML-powered recommendation systems that predict expert demand and automate project staffing.<\/p>\n<\/li>\n Own features from initial requirements through deployment and iteration.<\/p>\n<\/li>\n<\/ul>\n What We’re Looking For<\/strong><\/p>\n 2–5 years of professional full-stack software engineering experience.<\/p>\n<\/li>\n Experience building production applications across frontend and backend systems.<\/p>\n<\/li>\n Strong understanding of APIs, databases, data modeling, and scalable application architecture.<\/p>\n<\/li>\n Experience building internal tools, platforms, or workflow automation.<\/p>\n<\/li>\n Ability to translate business problems into practical engineering solutions.<\/p>\n<\/li>\n Interest in AI-powered applications, agents, and machine learning-driven workflows.<\/p>\n<\/li>\n Strong product judgment and ability to prioritize high-impact improvements.<\/p>\n<\/li>\n Comfortable working directly with non-engineering teams to understand operational challenges.<\/p>\n<\/li>\n High ownership, strong problem-solving skills, and ability to work independently in a fast-moving environment.<\/p>\n<\/li>\n<\/ul>\n Bonus Experience<\/strong><\/p>\n Experience building marketplaces, hiring platforms, recruiting software, or workforce management systems.<\/p>\n<\/li>\n Experience developing AI-powered interviewers, assessments, or automation tools.<\/p>\n<\/li>\n Experience with recommendation systems, matching algorithms, or applied machine learning.<\/p>\n<\/li>\n Experience building workflow orchestration or internal productivity platforms.<\/p>\n<\/li>\n Experience at an early-stage or high-growth startup.<\/p>\n<\/li>\n<\/ul>\n Why This Opportunity<\/strong><\/p>\n Build the core infrastructure behind a growing expert marketplace.<\/p>\n<\/li>\n Own meaningful full-stack systems with direct business impact.<\/p>\n<\/li>\n Develop AI-powered interviewing, onboarding, and matching technology.<\/p>\n<\/li>\n Work directly with growth teams to automate complex operational workflows.<\/p>\n<\/li>\n Help shape future machine learning-driven recommendation systems.<\/p>\n<\/li>\n Take ownership of projects from concept through production.<\/p>\n<\/li>\n Join a team where engineering directly influences how quickly the business can scale.<\/p>\n<\/li>\n<\/ul>\n Compensation & Benefits<\/strong><\/p>\n Base Salary:<\/strong> $250,000–$300,000<\/p>\n<\/li>\n On-Target Earnings:<\/strong> $300,000–$400,000<\/p>\n<\/li>\n Equity:<\/strong> Competitive equity package<\/p>\n<\/li>\n Visa:<\/strong> Open to visa transfers, including OPT and H-1B<\/p>\n<\/li>\n<\/ul>\n Ideal Candidate Profile<\/strong><\/p>\n The ideal candidate is a product-minded Full-Stack Software Engineer<\/strong> who enjoys building internal platforms, automating workflows, and solving operational problems with software.<\/p>\n They understand how to build scalable applications, work closely with business teams, and identify opportunities where AI and automation can significantly improve productivity.<\/p>\n This person is excited by the opportunity to build the technical foundation of an expert marketplace and eventually develop intelligent systems that automate expert recruitment and matching.<\/p>\n<\/p>\n Visa Sponsorship May be<\/strong><\/p>\n","protected":false},"author":1,"featured_media":0,"template":"","meta":{"_acf_changed":false,"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_promoted":"","_job_location":"San Francisco, CA, United 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