Principal Engineer, Enterprise Scalability (Remote – East Coast Only)

Jobicy; United States; Remote; USD 244,000 - 366,000; Full time

Job summary

Klaviyo is seeking a senior technical leader to own enterprise scalability, performance, reliability, and multi-region readiness. Reporting to a VP of Engineering, you will be a senior individual contributor, leading through hands-on engineering and cross-team collaboration to deliver improvements for our largest customers.

This role requires deep experience with multi-tenant SaaS, architecture, and the ability to move between deep technical work and executive communication, shaping platform

Qualifications

• 12+ years of engineering experience in scalable SaaS.
• Hands-on performance engineering and capacity planning.
• Experience with multi-region architectures.
• Strong judgment on architectural tradeoffs.
• Ability to align teams toward shared outcomes.
• Excellent written and verbal communication.
• Practical AI fluency in engineering tasks.

Responsibilities

• Define scale readiness targets, including latency, throughput, error rates, and capacity.
• Remove bottlenecks using production data and benchmarks; verify improvements.
• Drive architectural changes: sharding, caching, back‑pressure, isolation.
• Make scale engineering repeatable with benchmarks and test environments.
• Build readiness into delivery with scalable release gates.
• Turn incidents into lasting improvements via deep dives.
• Apply AI tools to profiling and incident response with guardrails.
• Connect engineering decisions to customer needs and outcomes.

Skills

Multi-tenant SaaS

Distributed systems

Production code

Technical leadership

Clear communication

AI tooling

Job description

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyos brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.

At Klaviyo, we help businesses build stronger relationships with their customers. As our customers grow, our platform needs to support greater data volumes, more demanding workloads, and increasingly complex operations—with the performance and reliability they depend on.

Engineering at this scale takes technical depth, sound judgment, and close collaboration. You’ll work across teams to solve challenging problems, turn architectural improvements into production results, and help build a platform ready for our largest customers.

Your Impact

We are seeking a senior technical leader to own Klaviyo’s approach to enterprise scalability, performance, reliability, and multi‑region readiness. Reporting to a VP of Engineering, you will be a senior individual contributor with no direct reports. You will lead through technical expertise, hands‑on engineering, and influence, partnering across teams to deliver improvements that matter to our customers.

You will identify and remove major bottlenecks, drive platform‑wide architectural changes, and establish clear measures of readiness for our largest tenants and most demanding workloads. Your work will span system design, profiling, implementation, and production rollout. You will also help teams adopt practical tools and repeatable patterns that make performance and reliability part of everyday engineering.

This role suits an experienced engineer who can move between deep technical investigation and clear executive communication, make and defend architectural decisions, and build alignment across teams.

Reports to: VP of Engineering

Direct reports: None

Location: Remote (Only applicable to candidates outside of MA. Requires travel to Boston HQ at least once per quarter)

What You’ll Do

• Define what scale readiness means. Establish measurable targets for latency, throughput, error rates, and capacity. Build a shared scorecard and align teams on service‑level objectives, error budgets, and performance expectations for critical enterprise workloads.
• Remove the bottlenecks that matter most. Use production data, profiling, and reproducible benchmarks to identify constraints. Partner with service owners to implement fixes and verify improvements under representative workloads.
• Drive architectural change. Design and implement sharding, partitioning, caching, back‑pressure, and workload isolation strategies. Advance multi‑region readiness and build safe paths for high‑volume data migrations.
• Make scale engineering repeatable. Create lightweight benchmarks, profiling harnesses, and test environments that teams can use independently. Pair with engineers to turn successful fixes into reusable patterns.
• Build readiness into delivery. Lead scalability reviews and establish clear, proportionate release gates that surface risks early and help teams ship confidently.
• Turn incidents into lasting improvements. Lead technical deep dives, identify systemic causes, and work with teams to deliver and validate fixes that reduce recurring incidents.
• Apply AI where it improves outcomes. Use AI‑assisted profiling, workload modeling, synthetic traffic, anomaly detection, and guided runbooks to improve investigation and response. Establish explicit guardrails, evaluate results, and measure operational impact.
• Connect engineering decisions to customer needs. Communicate priorities, trade‑offs, and results clearly to engineers and executives, tying technical investments to customer experience, enterprise growth, and operating efficiency.

What You’ll Bring

• Deep experience scaling multi‑tenant SaaS. You bring 12+ years of relevant engineering experience, with a track record of removing significant bottlenecks and demonstrating measurable production impact.
• Strong performance and distributed systems expertise. You have hands‑on experience with performance engineering, capacity planning, sharding and partitioning, caching, back‑pressure, tenant isolation, multi‑region architectures, and large‑scale migrations.
• Engineering depth from diagnosis through delivery. You can investigate unfamiliar systems, test hypotheses, write production code, and work with service owners to roll out changes safely.
• Sound technical judgment. You use evidence to weigh architectural tradeoffs and know when to address an immediate constraint versus invest in a broader platform change.
• Leadership across organizational boundaries. You align teams around shared outcomes, clarify ownership, and build practical standards that help engineers move faster.
• Clear communication. You explain complex technical decisions and their business implications to both engineering and executive audiences.
• Practical AI fluency. You have applied AI tools or automation to engineering work and can evaluate their usefulness, limitations, and operational risks. You are curious about new approaches and disciplined about validating them.

What Success Looks Like in 6–12 Months

• A company‑wide scale scorecard is adopted and reviewed regularly, with agreed targets and clear ownership for critical enterprise workloads.
• Two to three high‑impact bottlenecks are removed, with reproducible benchmarks demonstrating sustained improvements.
• Our largest customer workloads show measurable improvements in tail latency, throughput, and error rates.
• Multi‑region readiness and high‑volume migration plans have clear priorities, tested assumptions, and actionable next steps.
• Teams use shared benchmarks and readiness checks to catch regressions earlier, and repeat P0 incidents decline.
• AI‑assisted tools demonstrate measurable value in investigation or incident response, such as faster regression isolation or fewer noisy alerts, with appropriate controls and observability.

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Massachusetts Applicants:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Base Pay Range For US Locations: $244,000—$366,000 USD

Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.

This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.

Get to Know Klaviyo

We’re Klaviyo (pronounced clay‑vee‑oh). We empower creators to own their destiny by making first‑party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.

AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human‑in‑the‑loop). We provide accommodations as needed.

By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.

Klaviyo is committed to a policy of equal opportunity and non‑discrimination. We do not discriminate on the basis of race, ethnicity, citizenship or national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.

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