Full Stack Software Engineer - People Systems

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 organizational impact
• Strong experience with but not limited to:
• Python, SQL, and modern APIs
• LLM platforms (OpenAI, Claude, Gemini, etc.)
• LangChain and LangGraph
• Designing AI-powered workflows, agents, or copilots
• Experience integrating with enterprise SaaS systems (HRIS, ATS, etc.)
• Experience designing scalable systems, automation frameworks, and internal tools
• Experience working with sensitive data and implementing responsible AI practices
• Strong ability to translate ambiguous business problems into scalable technical solutions

Bonus Points

• Experience with People/HR systems (Workday, Greenhouse, Sana)
• Familiarity with workflow automation platforms (e.g., n8n, Workato, Zapier)
• Experience in high-growth SaaS environments
• Contributions to AI governance, internal AI platforms, or experimentation frameworks

Why This Role Matters at Klaviyo

This is a foundational role in defining how Klaviyo becomes an AI-first company from the inside out.

You won’t just be implementing AI you’ll be

• Shaping how People teams operate with AI
• Defining standards for responsible, scalable internal AI systems
• Building the blueprint for how AI is embedded across the business

Additional information

If you’re excited about building from scratch, influencing across functions, and applying AI to core business workflows, this role offers a unique opportunity to have outsized impact.