Opportunities in United States

Full Job Description

Build end-to-end AI and automation solutions. Work directly with business teams. Partner with stakeholders to understand workflows, pain points, operational constraints, and success measures. Translate ambiguous business needs into clear solution designs, delivery plans, and working products. Reimagine business processes. Go beyond automating existing steps. Identify opportunities to simplify, redesign, agentify, or eliminate work using AI, automation, and modern application patterns. Prototype quickly and responsibly. Use AI-assisted development tools and rapid experimentation to test ideas, validate feasibility, and demonstrate value early, while maintaining a path to secure, reliable, and maintainable production solutions. Deliver production impact. Take solutions from concept through deployment, adoption, support readiness, and iteration. Balance speed with quality, reliability, ownership, and lifecycle management. Extend low-code with full-stack engineering. Build agents and AI-powered workflows. Create AI agents and copilots that are grounded in business data, connected to tools and actions, evaluated for quality, and designed with appropriate human-in-the-loop controls. Measure business outcomes. Define success with stakeholders and track adoption, cycle-time reduction, manual effort avoided, quality improvements, user satisfaction, and time to value. Build responsibly and for reuse. Apply security, privacy, responsible AI, access controls, data-loss prevention, testing, monitoring, and application lifecycle management. Create reusable agents, components, templates, and patterns that raise the capability of the broader team. Contribute to a learn-it-all culture. Experiment with emerging AI tools, share demos, document patterns, mentor peers through technical examples, and help the team continuously improve how it builds. Operate as part of a global team. Collaborate across time zones with business leaders, principal-level technical leaders, platform teams, engineering partners, and operational owners to manage dependencies and deliver cohesive solutions. Embody our culture and values Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience. 2+ years of experience managing cross-functional and/or cross-team projects. Background as a Technical Product Manager, Technical Program Manager, Forward Deployed Engineer, Solutions Architect, product-minded engineer, or similar business-embedded technical role. Passion for AI-assisted development and vibe coding, with demonstrated ability to turn ambiguous ideas into working prototypes and carry them through to product launch, adoption, and iteration. Applied generative AI experience, including grounding, retrieval-augmented generation, agent orchestration, evaluation, prompt design, and human-in-the-loop workflows. Experience building full-stack internal tools, workflow applications, dashboards, agents, or automations for enterprise users. Experience redesigning end-to-end business processes and measuring operational improvements. Evidence of technical thought leadership through reusable solutions, demos, communities of practice, internal accelerators, or shared engineering patterns. Strong ability to learn new tools quickly and apply them pragmatically to real business problems.