2 days ago
Base Salary
$244k - $366k/yr
Responsibilities
- Define measurable enterprise scale-readiness targets for latency, throughput, error rates, capacity, service-level objectives, error budgets, and critical workloads.
- Use production data, profiling, and reproducible benchmarks to identify and remove major bottlenecks.
- Design and implement sharding, partitioning, caching, back-pressure, workload isolation, multi-region, and high-volume migration strategies.
- Create reusable benchmarks, profiling harnesses, and test environments and help teams adopt repeatable scalability patterns.
- Lead scalability reviews, establish release gates, and turn incident deep dives into validated systemic improvements.
- Apply AI-assisted profiling, workload modeling, synthetic traffic, anomaly detection, and guided runbooks with explicit guardrails.
- Communicate technical priorities, tradeoffs, and results to engineering teams and executives while connecting investments to customer and business outcomes.
Requirements
- At least 12 years of relevant engineering experience with measurable production impact from removing significant bottlenecks.
- Deep hands-on experience scaling multi-tenant SaaS and working with performance engineering, capacity planning, sharding, partitioning, caching, back-pressure, tenant isolation, multi-region architectures, and large-scale migrations.
- Ability to investigate unfamiliar systems, test hypotheses, write production code, and safely roll out changes with service owners.
- Strong technical judgment in evaluating architectural tradeoffs and balancing immediate constraints with broader platform investments.
- Ability to lead through influence across organizational boundaries, align teams around shared outcomes, and establish practical engineering standards.
- Excellent communication skills for explaining complex technical decisions and business implications to engineering and executive audiences.
- Practical AI fluency, including applying engineering automation or AI tools and evaluating their usefulness, limitations, and operational risks.
Benefits
- Base salary range is $244,000—$366,000 USD across U.S. locations, with potential bonus, equity, sign-on payments, and health, welfare, and wellbeing benefits.
- The role may require up to 10% travel for onboarding, client or partner work, team meetings, and industry events, coordinated in advance.
- The role is a senior individual contributor reporting to a VP of Engineering with no direct reports.
Categories
About Klaviyo
Klaviyo builds a subscription SaaS platform that lets e-commerce and consumer brands use first-party data to run targeted email, SMS, and push campaigns, with built-in automation and analytics. The product also includes B2C CRM features for segmentation, A/B testing, and customer lifecycle workflows. Founded in 2012 and headquartered in Boston, it is a public company (NYSE: KVYO) used by brands such as Mattel and Glossier.