Staff Software Engineer, Consumer Experience

Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions.

In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month.

Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.

As a Staff Software Engineer on the Consumer Experience team, you'll build the products that connect millions of students with employers. You'll drive meaningful technical initiatives, shape the technical direction of the team, and deliver high-quality, scalable solutions that directly impact one of the fastest-growing career platforms in the world.

• Lead the design and development of consumer-facing features that enhance user engagement and streamline the student-employer connection process

• Architect and scale distributed systems to support millions of users, ensuring high availability and performance

• Influence technical direction by collaborating with cross-functional teams to align engineering efforts with business goals

• Mentor and elevate engineers across the team, fostering a culture of growth and technical excellence

• Champion engineering best practices that raise the bar on product quality and team efficiency

• 8+ years of software engineering experience with a proven track record of owning and delivering large-scale, complex systems

• Demonstrated experience operating at a staff-level scope, influencing technical direction across multiple teams

• Expertise in building and scaling distributed systems, preferably within consumer platforms or social products

• Strong proficiency in Go, Python, or JavaScript with a focus on maintainable, high-quality production systems

• Solid understanding of cloud platforms (AWS, Azure, or GCP) and modern system design principles

• Exceptional communication skills with the ability to articulate complex technical concepts to diverse audiences

• Experience mentoring senior engineers and elevating engineering culture

• Background in search, recommendations, ranking systems, or personalization at scale

• Experience with user identity knowledge graphs, including entity resolution and real-time inference

• Experience building AI-powered systems, including LLM-based applications

• Prior experience in high-growth or rapidly scaling environments