Senior Staff Engineer, Content and Community
Senior Staff Engineer, Content and Community
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$ 250000 - 315000
1 Vacancy
Job Description
Everyone is welcome at Handshake. We know diverse teams build better products and we are committed to creating an inclusive culture built on a foundation of respect for all individuals. We strongly encourage candidates from non-traditional backgrounds historically marginalized or underrepresented groups to apply.
Your impact
At Handshake we believe in the power of community to unlock opportunity for every student and recent grad. As a Senior Staff Software Engineer on our Content & Community team youll architect and scale the backbone of our professional graphpowering how users connect discover and engage. Your work will directly shape the way millions of students and employers build networks discover people and content and find the right opportunities. Youll drive the evolution of our people search profile and follow graph and use cutting-edge AI to deliver personalized people recommendations and content feeds that make every connection meaningful.
Your role
- Build the Social Graph: Design and implement scalable systems for our follow graph enabling rich connections and powering people recommendations across Handshake.
- Deliver Personalized Experiences: Integrate LLM/AI and machine learning into our profile people search and feed experiencesensuring every user receives relevant recommendations and content.
- Power the Feed: Own and evolve the backend for our social and content feeds working cross-functionally with Staff Engineers and product teams to ensure the feed both reflects and shapes the users network and interests.
- Cross-Cutting Influence: Collaborate across teams to understand how user activity (e.g. likes follows feed engagement) influences recommendations and feed ranking and vice versaclosing the loop between network growth and content discovery.
- Backend Leadership: Drive the design implementation and scaling of backend services and APIs that support people search recommendations and feed personalization at massive scale.
Your experience
- 8 years of backend software engineering experience ideally working on social community or graph-based products; full stack development experience is a strong plus.
- Proven expertise with distributed systems data modeling for social graphs and building scalable APIs.
- Experience with machine learning or personalization systems especially in the context of recommendations or feeds.
- Track record of collaborating with cross-functional partners (product design ML and other engineering teams) to deliver impactful user-facing features.
- Experience designing and building large-scale search social graph or entity tagging (ET) systems.
Bonus areas of expertise
- Deep experience with people search profile systems or social graph infrastructure.
- Familiarity with LLM/AI integration into user-facing features.
- Experience designing or scaling recommendation engines or ranking systems.
- Understanding of how user interactions (likes follows shares) influence feed and recommendation algorithms.
- Prior experience in social or high-scale consumer platforms.
- Contributions to open-source graph or ML frameworks.
Compensation range
$250000-$315000
Required Experience:
Staff IC
Employment Type
Full-Time
