Jobs / United States / Klaviyo INC
Full Stack Software Engineer - People Systems
Klaviyo INC · 🇺🇸 San Francisco, CA
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 46 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 10 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Klaviyo INC paid sponsored hires in similar roles4 certified filings for “Senior ML Engineer” (Software Developers) in CA: $202k–$214k, median $202k. Most were filed at wage level I (33%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Klaviyo INC
The US Department of Labor certified 46 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 10 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Klaviyo INC →
About the role
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves 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. Klaviyo is building an AI-first company—and that starts with how we support and scale our people. We’re looking for a Lead People Technology Engineer to be the first dedicated AI engineer within our People Technology (KPPL) team. As an early leader in this space, you’ll reimagine how our People teams operate in an AI-first world by shaping our architecture, standards, and long-term vision. You’ll partner across People Operations, Talent Acquisition, Talent, and Finance to design and build intelligent systems that transform how we hire, develop, retain, and support Klaviyos globally. This role is not just about applying AI it’s about defining how AI becomes embedded into the employee lifecycle at Klaviyo. What You’ll Be Doing AI-First People Systems & Architecture • Reimagine core People workflows (recruiting, onboarding, performance, daily tasks) through an AI-first lens, not just incremental automation • Design and build AI-powered workflows, copilots, and agents that automate and augment People processes across the employee lifecycle • Architect and implement systems that integrate across SaaS such as Workday, Greenhouse, Sana, and internal Klaviyo platforms • Partner with our internal IT AI team and establish best practices for: • Prompt engineering and evaluation • LLM system design and orchestration • Versioning, testing, security, and observability of AI systems • Enable AI Use Cases (copilots, assistants, automated workflows) that drive faster execution and better decision-making for People teams • Collaborate with stakeholders to translate business problems into scalable AI solutions Driving an AI-First Operating Model • Identify high-leverage opportunities to replace manual workflows with AI-native solutions • Define and track success metrics tied to efficiency gains, time savings, and operational effectiveness • Help the People organization shift toward AI-augmented ways of working • Act as a thought partner to People leadership on what’s possible with AI, not just what’s requested • Responsible AI, Privacy & Governance: Design systems that handle sensitive employee data with security, privacy, and trust at the core • Partner with Security, Legal, and Global IT to ensure compliant and ethical AI deployment Cross-Functional Collaboration & Enablement • Work closely with Security, IT, and GTM Systems to align on shared AI infrastructure and standards • Contribute to and adopt company-wide AI patterns, tooling, and best practices • Enable People teams to leverage AI by building: • Reusable frameworks and workflows • Playbooks and training materials • Help non-technical stakeholders confidently use and iterate on AI-powered tools Technical Leadership • Advocate for scalable, well-governed AI systems that integrate cleanly into Klaviyo’s broader tech ecosystem • Act as a key voice in shaping how Klaviyo becomes AI-first internally, starting with People systems What Makes You a Great Fit • Passion and Curiosity to experiment and reimagine People workflows • 5+ years of engineering or data engineering experience, with 2+ years building AI/ML or LLM-powered delivering tangible business outcomes • Proven ability to set technical direction and build 0→1 systems with meaningful o