Senior Software Engineer, Revenue

We’re partnering with a leading consumer technology company to hire a Senior / Staff Software Engineer to help build and scale next-generation, AI-powered commerce experiences.

This is a high-impact role focused on reimagining how customers interact with digital products across complex journeys—transforming traditional, static experiences into dynamic, personalized, AI-driven interactions.

You’ll play a key role in modernizing core systems that power shopping, transactions, and post-purchase experiences, leveraging real-time data and machine learning to deliver more relevant and intelligent outcomes.

What You’ll Be Doing

• Architect and build AI-native product experiences that dynamically adapt to user behavior and context
• Design and implement systems that power personalization, recommendations, and intelligent decisioning in real time
• Integrate LLM-powered capabilities into production applications, ensuring performance, reliability, and scalability
• Re-architect and modernize legacy systems into scalable, distributed microservices
• Build and maintain high-performance APIs and backend services supporting high-traffic, consumer-facing applications
• Collaborate closely with product, design, and data teams to translate business goals into technical solutions
• Contribute across the stack, with a primary focus on backend systems and the ability to support modern front-end development when needed
• Lead system design discussions and influence architecture decisions across teams
• Mentor engineers and elevate engineering standards across the organization
• Diagnose and resolve complex issues related to performance, scalability, and reliability

What We’re Looking For

• 8–12+ years of professional software engineering experience
• Strong backend expertise with experience building distributed systems at scale
• Proven track record of delivering consumer-facing products in production environments
• Hands-on experience integrating AI/LLM capabilities into real-world applications (beyond experimentation or prototypes)
• Deep understanding of microservices architecture, system design, and service decomposition
• Experience designing systems that support real-time processing, personalization, and high availability
• Proficiency in backend technologies such as C#, Java, or similar
• Working experience with modern front-end frameworks (e.g., React)
• Strong problem-solving skills with experience troubleshooting complex production systems
• Excellent communication skills and the ability to work cross-functionally

Preferred Qualifications

• Experience building AI-driven product features, such as recommendation systems, conversational interfaces, or intelligent workflows
• Familiarity with LLM integration patterns, including prompt design, orchestration, and evaluation strategies
• Experience working with data pipelines, event-driven architectures, or streaming systems
• Background in ecommerce, marketplace, or high-transaction environments
• Experience with cloud platforms such as AWS, Azure, or GCP

What Makes This Role Compelling

• Opportunity to build AI-powered experiences used by millions of customers
• Work on complex, high-scale systems that directly impact revenue and customer experience
• Influence the evolution of a platform undergoing significant technical and product transformation
• Collaborate with a team that values ownership, technical excellence, and innovation

Interview Process

• Initial technical screen (90 minutes)
• Final round:
  • System design interview (90 minutes)
  • Technical / coding interview (60 minutes)
  • Cross-functional interview with product and team leadership (30 minutes)

If you want to sharpen this even more, the next step would be:

• dialing up Staff+ language to scare off mid-levels
• or creating a compelling LinkedIn post that pulls in the right AI-native candidates instead of generic full-stack folks