Lead Project Manager

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.

- 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.

- 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 stakeholders.

- Deep experience translating ambiguous operational problems into clear, actionable project requirements and budget tracking frameworks.

- Expertise in project management tools and methodologies with the ability to define, measure, and communicate delivery impact.

- Expertise in enterprise tool ecosystems with strong working knowledge of Slack, Workday, Jira, Salesforce, and similar platforms.