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Rippling

Unified HR and IT management platform

Senior Engineering Manager - AI Onboarding

Engineering LeadershipUpdated on Nov 13
Full-time

About the Job

Requirements

  • Proven experience leading engineering teams in fast-moving environments, including hiring, developing, and retaining senior technical talent while maintaining high execution and technical quality.
  • Strong technical depth in backend systems, distributed architecture, APIs, workflow systems, platform infrastructure, and production engineering, with the ability to operate alongside Staff+ engineers and make system-level architectural decisions.
  • Strong understanding of modern AI application patterns and demonstrated ability to use AI to rethink product workflows; experience with agents, LLM-powered applications, AI developer workflows, or intelligent automation is valuable.
  • Ability to reason from customer problems and business outcomes while owning customer-facing product experiences and underlying systems and abstractions.
  • Experience building or leading product platforms serving multiple teams, with judgment around abstractions, reuse, extensibility, and platform adoption, and balancing generalized capabilities against individual team needs.
  • Ability to create clarity and strategy in a rapidly evolving charter and operate across product, platform, AI, and growth.
  • Demonstrated ability to influence senior stakeholders across engineering, product, design, and business functions when teams have competing requirements or opinions.
  • Use of experimentation, product analytics, observability, and operational metrics to understand customer behavior, system performance, and business outcomes.
  • Ability to communicate complex technical and product decisions clearly to engineering leadership, product executives, and cross-functional partners.

Responsibilities

  • Build and lead a high-performing team of senior engineers across AI, onboarding, growth, and product platform infrastructure, developing technical leaders to own ambiguous cross-functional problems and raise execution standards.
  • Set technical direction and define architecture, abstractions, APIs, agent interfaces, and platform primitives to transform company onboarding into an AI-native experience that understands customer information, orchestrates product workflows, validates completion, and automates implementation.
  • Partner with Product and Design to build self-serve and product-led growth experiences that improve activation, conversion, expansion, and time-to-value, shifting toward a scalable product-led model.
  • Build shared experiences and growth mechanisms that make Rippling AI discoverable and integrated into customer workflows, and establish technical foundations to measure and improve AI adoption.
  • Identify common patterns across product teams and turn them into durable platform abstractions, enabling teams to integrate with shared experiences without bespoke platform solutions.
  • Set technical and product direction for critical customer-facing surfaces, balancing usability, performance, reliability, experimentation velocity, and architectural quality.
  • Participate directly in architecture and system design across distributed systems, workflow orchestration, APIs, data models, agentic systems, observability, and platform abstractions; evaluate trade-offs and partner with senior staff engineers.
  • Work with Product, Design, Data, AI, Growth, and engineering leaders to align teams, decide when to build shared platform capabilities or enable another team, and determine when to decline requests.
  • Define long-term architecture and product strategy for the expanding team charter, clarify ambiguous problem spaces, establish technical principles, and focus the team on high-leverage opportunities.

Desired Qualifications

  • Experience with agents, LLM-powered applications, AI developer workflows, or intelligent automation.
  • Experience in environments where activation, conversion, adoption, expansion, or other customer growth metrics inform engineering and product strategy.

About the Company

Rippling

Unified HR and IT management platform

Rippling provides a unified SaaS platform that combines HR and IT management. It automates payroll, benefits administration, employee data management, and app/device provisioning, all within one system. The platform integrates these functions so businesses can handle HR and IT tasks from a single interface, with automation and connections to other business apps. Its approach centers on offering a subscription-based service that includes core HR tools plus optional services like device management and broker partnerships. Rippling aims to reduce administrative overhead and improve operational efficiency by keeping HR data, payroll, benefits, and IT management in one place.

Company size
5,001-10,000
Company stage
Series G
Total funding
$1.8B
Headquarters
San Francisco, CA
Founded
2016

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