This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior | Staff Product Engineer based in the United States. Join a collaborative technology team modernizing the digital experiences and internal systems that power a diverse portfolio of hospitality brands. As a Senior or Staff Product Engineer, you will build end-to-end solutions spanning front-end experiences, back-end services, APIs, integrations, and data infrastructure. You will help connect existing platforms and enterprise tools to create seamless, secure, and efficient business operations. Working in an AI-first engineering environment, you will use intelligent development tools and AI agents to accelerate research, implementation, testing, and delivery. You will influence architectural decisions, improve engineering practices, and help establish scalable technical foundations for future growth. Partnering closely with product, design, and engineering colleagues, you will turn ambiguous business challenges into practical, maintainable solutions. This is an opportunity to combine hands-on development, product thinking, and technical leadership while helping shape how modern software is built. Accountabilities Build end-to-end product solutions: Design, develop, test, deploy, and continuously improve features across front-end interfaces, back-end services, APIs, business logic, and data layers. Integrate business systems: Design and maintain integrations across applications, brands, and enterprise platforms such as Salesforce and NetSuite, ensuring reliable data flows and seamless system interoperability. Protect sensitive information: Implement appropriate security, privacy, authentication, authorization, and compliance practices when handling client, employee, and financial data. Translate business needs into technical plans: Break down ambiguous requirements into clear specifications, implementation strategies, and manageable tasks that can be executed by engineers and AI agents. Embrace AI-driven development: Use AI agents throughout research, prototyping, implementation, testing, refactoring, and documentation, while validating outputs for correctness, security, and production readiness. Shape technical architecture: Contribute to technology selection, system design, reusable development patterns, and architectural decisions that support scalability and long-term maintainability. Improve engineering workflows: Establish and refine AI-assisted development practices, tools, and workflows, helping colleagues adopt effective approaches and improve delivery quality. Strengthen code quality and reliability: Improve existing codebases through automated testing, monitoring, documentation, observability, and sustainable architectural patterns. Collaborate across teams: Work closely with product, design, engineering, and external partners to clarify requirements, evaluate trade-offs, and deliver solutions aligned with business objectives. Provide technical leadership: Participate in code reviews, pair programming, onboarding, and mentorship, helping teammates develop their skills and maintain high engineering standards. Drive projects and architectural initiatives: Lead technical projects beyond individual assignments, coordinate delivery across stakeholders, and, at the Staff level, take ownership of architecture spanning multiple systems. Requirements Professional experience: At least 6 years of experience building and maintaining production software for Senior-level candidates, or 9+ years of experience with cross-system architecture ownership for Staff-level candidates. Full-stack engineering expertise: Strong ability to design and implement complete software solutions across front-end, back-end, APIs, business logic, and data infrastructure. Data management skills: Solid knowledge of relational databases, SQL, schema design, transactions, and migrations, along with familiarity with modern data warehouses, pipelines, and data integration practices. Secure software development: Experience building high-quality, secure applications with appropriate testing, accessibility considerations, input validation, authentication, authorization, and awareness of common web security vulnerabilities. Practical AI-agent experience: Demonstrated ability to use AI agents for complex, multistep engineering tasks beyond code completion, including writing specifications, defining task boundaries, providing context, and verifying generated work against the actual system. Product-oriented mindset: Ability to understand the underlying business problem before selecting a technical solution, ask thoughtful questions, and develop creative, user-focused approaches. Sound technical judgment: Strong architectural and problem-solving skills, with a preference for simple, maintainable solutions and the ability to navigate ambiguity while balancing short-term delivery with long-term sustainability. Communication and collaboration: Ability to explain technical decisions, risks, and trade-offs to technical and non-technical stakeholders, contribute constructively to planning discussions, and provide clear, respectful feedback. Technical leadership and mentorship: Experience leading projects, guiding other engineers, reviewing code, mentoring teammates, and coordinating with external partners or contractors. Staff-level candidates should have experience owning architecture across multiple systems. Continuous learning: Curiosity about emerging technologies and development practices, with the ability to evaluate new tools objectively and adopt approaches that deliver sustainable value. Additional advantageous experience: Experience deploying LLM-powered features to production and evaluating their effectiveness; extending AI development environments through MCP servers, repository instructions, reusable skills, custom workflows, or automated code reviews; working with Salesforce, NetSuite, or HRIS platforms; building event-driven systems or reverse ETL pipelines; using AWS or comparable cloud platforms and infrastructure-as-code tools; establishing engineering practices from an early stage; or working in hospitality, events, real estate, or other customer-centric, multi-location industries. Benefits Annual base salary: $150,000–$200,000 USD, depending on location, skills, experience, and other relevant factors. Performance incentives: Eligibility for an annual performance-based bonus. Comprehensive healthcare: Health coverage for employees and their families starting on day one. Virtual healthcare: Access to 24/7 virtual care and emotional well-being support. Family support: Fertility and family-planning benefits, along with paid parental leave. Paid time off: Generous PTO, a day off for your birthday, and a year-end holiday closure. Retirement savings: 401(k) plan with company matching. Professional development: Support for education, courses, certifications, and ongoing career growth. Recognition programs: Opportunities to celebrate professional achievements and milestones. Community involvement: Volunteer opportunities and initiatives that support giving back. Remote flexibility: Remote work within the United States, with preference for candidates based on the East Coast or working in the Eastern Time Zone. Collaborative environment: Work with a multidisciplinary team that values integrity, teamwork, innovation, inclusion, and continuous improvement. Career progression: Opportunity to influence technical direction, establish engineering standards, and grow into broader architectural and leadership responsibilities.