Perplexity AI

60 Perplexity Accounting Manager Jobs Hiring Near You

About Perplexity AI Perplexity is an AI-powered answer engine built to serve the world's curiosity ... You've managed community platforms, run event logistics, and kept multiple workstreams moving ...

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Infographic showing various Accounting Manager job openings at Perplexity in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 91% Physical, and 9% Remote job distribution.

Member of Technical Staff (Software Engineer, Storage Platform)

Perplexity

Palo Alto, CA

Full-time

Posted 8 days ago


Job description

About Perplexity AI

Perplexity is an AI-powered answer engine built to serve the world's curiosity with fast, trustworthy answers grounded in the live web and backed by clear citations. It combines multiple leading models with real-time search to synthesize up-to-date, source-linked responses instead of traditional search results. On top of this foundation, Perplexity is rolling out Computer, a general-purpose AI worker that can use software like a human to research, build, and execute end-to-end workflows for users.
About the Role

The Storage Platform team owns the infrastructure that powers how Perplexity persists, retrieves, and manages data across all systems, ensuring high availability, performance, and cost-efficiency for every product and AI workload.

This foundational, high-impact group is responsible for the full spectrum of storage technologies - relational databases, vector databases, custom storage implementations, and the tooling to provision, monitor, and optimize them at scale.

By building robust abstractions and operational excellence around storage, the team enables engineers across Perplexity to focus on product innovation while trusting that data is fast, reliable, and always accessible.

Key Responsibilities
  • Design, operate, and continuously improve the storage platform that underpins all Perplexity products and AI workloads, including relational, NoSQL, and vector databases.

  • Own reliability, performance, and availability SLOs for stateful systems, driving root cause analysis and longterm fixes for storagerelated incidents.

  • Define and evolve opinionated storage abstractions, APIs, and tooling that make it simple and safe for product teams to consume storage at scale.

  • Partner with AI, infra, and product teams to design data models and access patterns that meet lowlatency, highthroughput, and costefficiency requirements.

  • Lead capacity planning, benchmarking, and lifecycle management for storage clusters, including scaling, migrations, and deprecations.

Qualifications
  • 5+ years of experience building and operating largescale backend or infrastructure systems in production.

  • Deep handson experience with at least one major database technology (for example, Postgres, MySQL, DynamoDB, Cassandra) and familiarity with modern cloud storage services.

  • Strong fundamentals in distributed systems, data modeling, and performance optimization for highthroughput, lowlatency workloads.

  • Proven track record of owning services endtoend, including design, implementation, deployment, and oncall.

  • Proficiency in at least one programming language used for backend systems (such as Go, Rust, or Python).

  • Effective communication and collaboration skills, with the ability to partner closely with product, infra, and AI teams.

If you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.