Skills this job asks for
HRComplianceProject managementMachine learningLLMsTranslation
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Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
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.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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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.
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✓
What Klaviyo INC paid sponsored hires in similar roles1 certified filing for “Lead Product Manager” (Information Technology Project Managers) in MA: $192k–$192k, median $192k.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- 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. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-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 roles
- 1 certified filing for “Lead Product Manager” (Information Technology Project Managers) in MA: $192k–$192k, median $192k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
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.
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.
At Klaviyo, we are building the future of employee experience through intelligent AI, automation, and seamless system integration. The ARIA (Applications, Resources, Intelligence, and Automations) team develops the tools that help employees move faster, work smarter, and spend more time on high-impact work. As Klaviyo continues to scale, the need for AI-powered workflows and connected internal systems has never been greater. We are looking for a Senior Project Manager to define and execute the project delivery for our employee-facing AI and automation platform.
You will report into the Director of AI and App Engineering.
How you’ll make a difference:
• Own the project lifecycle management and program execution for the ARIA platform: Coordinate how Klaviyo employees interact with AI-powered tools that automate workflows, surface insights, and reduce manual overhead across the organization.
• Build and scale employee-facing automation workflows: Identify high-impact automation opportunities across Finance, People, Engineering, and Sales and ship scalable solutions using AI, APIs, and integration platforms.
• Drive AI-powered integrations through cross-functional stakeholder coordination: Lead the integration strategy between key systems such as HRIS, ticketing, messaging, and knowledge management to create seamless employee experiences.
• Partner with IT and Business Operations: Translate complex operational needs into well-scoped, technically feasible product solutions with a clear focus on employee productivity and satisfaction.
• Champion AI adoption across the organization: Define and execute a responsible strategy for introducing AI tools to employees including change management, enablement, and governance frameworks.
• Establish and track project delivery metrics: Define success metrics for employee automation and AI projects, reporting regularly on adoption, time saved, and measurable business impact.
• Collaborate with Security and Compliance: Ensure AI tools and integrations meet security, privacy, and compliance standards, especially when handling sensitive employee data.
• Evaluate new AI vendors and platforms: Lead build vs. buy decisions for automation capabilities, developing a vendor strategy that balances speed, cost, and control.
• Serve as an internal project lead for AI: Partner across teams to identify the next frontier of employee-facing automation and help Klaviyo stay at the cutting edge of enterprise AI adoption.
• Define the long-term project delivery plan: Create a compelling timeline and resource management plan for how AI will transform work at Klaviyo over the next 2-3 years, aligning stakeholders and driving investment decisions.
Who you are:
• 5+ years of project management experience, with a strong focus on enterprise software delivery, internal tools, or employee-facing projects.
• Proven experience in project management methodologies, risk assessment, and delivery success for automation or integration projects.
• Experience managing the project delivery of AI and ML capabilities, including LLM-based tools, AI assistants, or intelligent automation systems.
• Demonstrated ability to partner cross-functionally with Engineering, IT, People, and Business Operations sta
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