
11 - 50 employees
☁️ SaaS
🤖 Artificial Intelligence
🤝 B2B
SaaS • Artificial Intelligence • B2B
Sequen is a platform company that provides real-time, in-session personalization and dynamic re-ranking infrastructure for consumer applications. The Sequen Ranking Platform combines ultra-low-latency runtime (advertised sub-20ms p99) with frontier AI techniques — including Large Event Models (LEMs), continual learning on dynamic user embeddings at inference, and multi-horizon optimization — to power adaptive product discovery, recommendations, search results and ad optimization. Sequen positions itself as a B2B SaaS provider for consumer-facing companies that want to drive higher conversion and better outcomes by using in-session signals and behavior to personalize each user’s experience.
🕒 July 28
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11 - 50 employees
☁️ SaaS
🤖 Artificial Intelligence
🤝 B2B
SaaS • Artificial Intelligence • B2B
Sequen is a platform company that provides real-time, in-session personalization and dynamic re-ranking infrastructure for consumer applications. The Sequen Ranking Platform combines ultra-low-latency runtime (advertised sub-20ms p99) with frontier AI techniques — including Large Event Models (LEMs), continual learning on dynamic user embeddings at inference, and multi-horizon optimization — to power adaptive product discovery, recommendations, search results and ad optimization. Sequen positions itself as a B2B SaaS provider for consumer-facing companies that want to drive higher conversion and better outcomes by using in-session signals and behavior to personalize each user’s experience.
• Optimize Real-Time Infrastructure: Write high-performance, memory-safe, and concurrent production code in Rust. • Optimize model serving infrastructure to achieve ultra-low inference latency under heavy concurrent request loads. • Build low-latency data ingestion systems, microservices, and network protocols to process real-time behavioral streams. • Develop Core Architectural Tooling: Design and maintain robust, high-throughput backend APIs and SDKs. • Implement customized abstractions, caching layers, and memory management profiles to maximize hardware efficiency. • Migrate data-heavy bottlenecks from higher-overhead languages into highly optimized Rust components. • Ensure Reliability and Scale: Own the end-to-end lifecycle of core backend infrastructure components. • Debug complex distributed system deadlocks, race conditions, and production bottlenecks across cloud environments. • Establish rigorous performance benchmarking, regression testing, and real-time system monitoring. • Collaborate on Product Evolution: Partner directly with Applied Scientists to translate recent neural network and ranking model breakthroughs into highly scalable runtime realities. • Define best practices for building secure, scalable, and deterministic system architectures across our entire engineering organization.
• 6 to 8+ years of experience in Software Engineering, Systems Programming, Infrastructure Engineering, or similar. • Strong professional experience writing and deploying production-grade Rust code in high-scale systems. • Deep understanding of Rust-specific primitives, including ownership, lifetimes, concurrency models, and asynchronous runtimes like Tokio. • Experience building robust backend systems, custom APIs, and event-driven architectures. • Experience debugging, profiling, and operating high-throughput production systems under strict real-world constraints. • Comfort with ambiguity, a strong sense of technical ownership, and an ability to balance engineering speed with quality.
• At this stage, the efficiency and speed of our core infrastructure directly dictate how our product performs for global-scale consumer enterprises. • You will have a blank canvas to architect core systems, work with bleeding-edge AI workflows, and fundamentally define the technical scalability of the company.
Apply Now🕒 July 28
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