Job Description

OUR CLIENT is an AI-driven human capital management platform revolutionizing how companies manage the entire employee lifecycle — from hiring to operations. We work with large, complex organizations across sectors (e.g., hospitality, retail, healthcare, staffing), helping HR and operations teams streamline recruitment, automate workflows, and improve outcomes at scale. Our customers don’t buy OUR CLIENT for experimentation — they buy it to solve real operational pain: high-volume hiring, slow processes, overstretched teams, and inconsistent candidate and employee experiences.

The Role

• Act as the technical bridge between OUR CLIENT and our customers, ensuring AI systems deliver tangible outcomes from day one
• Work directly with customer teams to understand workflows and define what success looks like in production
• Configure and extend OUR CLIENT’s AI systems to drive faster time-to-value in real enterprise environments
• Operate as an engineer in the field: builder, problem-solver, and trusted technical advisor accountable for results
• Contribute to Product Engineering by turning field insights into scalable improvements that benefit all customers

What You’ll Do

• Deploy, configure, and customize OUR CLIENT’s AI systems to unblock customer operations and accelerate outcomes
• Translate operational goals into technical workflows that improve speed, quality, or scalability
• Own the technical deployment lifecycle with a focus on reducing time from sale to value
• Partner with Deployment Strategists to deliver measurable customer impact, not just go-lives
• Turn effective customer solutions into reusable modules and playbooks to speed up future deployments

What Success Looks Like

• Customers reach value quickly after deployment, with clear improvements in efficiency or speed
• Core customer workflows are re-engineered with AI and show measurable ROI
• OUR CLIENT systems run reliably at scale and are trusted in day-to-day operations
• Technical solutions are repeatable and accelerate onboarding of new customers
• Product improves continuously based on structured feedback from real deployments

Ideal Profile

• Strong engineering fundamentals with the ability to ship production-grade systems fast
• Experience working directly with customers (field engineering, consulting, or solutions roles)
• Comfort moving between high-level problem definition and hands-on debugging
• Experience with modern stacks (APIs, cloud, frontend/backend development) and AI systems in production (nice to have)
• Fluent in English and Spanish. Additional languages welcome.
• Extreme ownership and comfort operating in ambiguity