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Klaviyo

Builds marketing software for consumer brands

Full Stack Software Engineer - People Systems

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeBoston, MA, USA

About the Job

Requirements

  • At least 5 years of engineering or data engineering experience, including at least 2 years building AI, machine learning, or large language model-powered systems with tangible business outcomes.
  • Ability to set technical direction and build zero-to-one systems with meaningful organizational impact.
  • Experience with Python, SQL, and modern application programming interfaces.
  • Experience with large language model platforms such as OpenAI, Claude, or Gemini.
  • Experience with LangChain and LangGraph.
  • Experience designing AI-powered workflows, agents, or copilots.
  • Experience integrating enterprise software-as-a-service systems, including human resources information systems and applicant tracking systems.
  • Experience designing scalable systems, automation frameworks, and internal tools.
  • Experience working with sensitive data and implementing responsible artificial intelligence practices.
  • Ability to translate ambiguous business problems into scalable technical solutions.

Responsibilities

  • Reimagine core People workflows, including recruiting, onboarding, performance, and daily tasks, using an AI-first approach rather than 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 integrating software-as-a-service tools such as Workday, Greenhouse, and Sana with internal company platforms.
  • Partner with the internal IT AI team and establish best practices for prompt engineering and evaluation; large language model system design and orchestration; and versioning, testing, security, and observability of AI systems.
  • Enable AI use cases, including copilots, assistants, and automated workflows, to improve execution speed and decision-making for People teams.
  • Collaborate with stakeholders to translate business problems into scalable AI solutions.
  • Identify high-leverage opportunities to replace manual workflows with AI-native solutions.
  • Define and track success metrics for efficiency gains, time savings, and operational effectiveness.
  • Help the People organization adopt AI-augmented ways of working.
  • Advise People leadership on potential AI applications and approaches.
  • Design systems that protect sensitive employee data through security, privacy, and trust safeguards.
  • Partner with Security, Legal, and Global IT to support compliant and ethical AI deployment.
  • Work 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.
  • Build reusable frameworks, workflows, playbooks, and training materials to enable People teams to use AI.
  • Help non-technical stakeholders use and iterate on AI-powered tools.
  • Advocate for scalable, well-governed AI systems that integrate with the broader technology ecosystem.
  • Shape how the company adopts AI internally, starting with People systems.

Desired Qualifications

  • Experience with People or human resources systems such as Workday, Greenhouse, or Sana.
  • Familiarity with workflow automation platforms such as n8n, Workato, or Zapier.
  • Experience in high-growth software-as-a-service environments.
  • Contributions to AI governance, internal AI platforms, or experimentation frameworks.

About the Company

Klaviyo

Builds marketing software for consumer brands

Klaviyo builds customer relationship software for consumer brands, combining marketing, customer service, analytics, and a customer data platform in one system. Its platform draws on shoppers' purchases, browsing, and message activity to create customer profiles that brands use to personalize communications. Businesses use these profiles to automate email, text, WhatsApp, and mobile push campaigns, while AI agents create marketing work and answer customer questions. Klaviyo earns subscription fees based on active customer profiles, message volumes, and service activity, rather than charging for each employee who uses the software. Founded in 2012, the company is headquartered in Boston, Massachusetts.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Boston, MA
Founded
2012

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