Hiring: Distinguished Engineer, Enterprise Scalability Company: Klaviyo Location: Boston, MA Job Posted Time: 2026-09-10 13:06:39 Target Skills & Keywords : Load Testing, SaaS About the job Experience: •12+ years scaling multi‑tenant SaaS with a reputation for removing major bottlenecks and proving impact with data. Required Skills: •Be Klaviyo’s senior IC for scale, you will report into a VP of Engineering and lead performance, reliability, multi‑region, and large‑tenant readiness. •Given that this is an IC role with no direct reports; you will lead via technical depth, hands‑on impact, and crisp cross‑org alignment. Qualifications: •Technical expertise: Performance engineering, capacity planning, sharding/partitioning, caching/back‑pressure, multi‑region readiness, and high‑volume migrations; you turn hotspots into robust patterns. •AI tools & automation: You apply AI to scale work—profiling assistance, workload modeling, synthetic traffic generation, anomaly detection, and runbook copilots—always with explicit guardrails and observability. •Cross‑org influence: You align teams through fitness functions, scorecards, and readiness gates that accelerate—not block—delivery; you communicate tradeoffs crisply to execs and engineers. •AI fluency: Curious, adaptable, and proactive in exploring AI that responsibly improves scale outcomes. •Scale scorecard: Company‑wide fitness functions (latency/throughput/error rates) are adopted and reviewed regularly. •High‑impact wins: 2–3 bottlenecks removed with documented, reproducible testbeds; pXX latencies and error rates improve on top enterprise workloads; repeat P0s trend down. •AI‑assisted scale engineering: AI‑driven anomaly detection reduces alert noise while improving signal; generative load testing and copilot runbooks are used in release/readiness checks for the top critical services; time‑to‑isolate regressions drops 20–30%. •Company‑wide scale scorecard in place; 2–3 high‑impact bottlenecks removed; top enterprise workloads show improved pXX latencies and error rates; fewer repeat P0s. •We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. •Please see the independent bias audit report covering our use of Covey here Compensation: •$244,000 - $366,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!