Engineering Manager, People Ops Solutions
Google · Posted Nov 3
Search engine, cloud computing, software, hardware, and artificial intelligence services
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About the role
People Operations (POps) Solutions designs and delivers SPII-compliant, enterprise-grade AI workspaces that integrate into core People Operations workflows, acting as unified command centers and specialized AI co-pilots that automate high-volume processes and scale operational capacity. The role sits within Core, the team that builds the underlying design elements, developer platforms, product components, and infrastructure behind Google's flagship products. The Engineering Manager will lead engineers across multiple teams and locations, set technical direction and roadmaps, and deliver AI-native, agentic enterprise solutions spanning agentic applications, full-stack workbenches, and autonomous operational workflows.
What you will do
- Set and communicate team priorities. Align strategy, processes, and decision-making across teams. Leverage telemetry, offline/online benchmarks, and developer tooling to improve product excellence, production reliability, and engineering execution velocity across agentic workflows.
- Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
- Develop the mid-term technical direction and roadmap within the scope of your (often multiple) team(s). Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
- Deliver AI-native, agentic enterprise solutions across POps Solutions core pillars building enterprise-grade agentic applications, full-stack workbenches and autonomous operational workflows.
- Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
Skills used in this role
What the employer is looking for
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 3 years of experience in a technical leadership role; overseeing projects.
- 2 years of experience in a people management, supervision/team leadership role.
- Experience designing and operating distributed computing systems for large-scale AI/ML workloads.
Preferred qualifications
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- Experience in launching Machine Learning or AI products from research to production.
- Experience designing architectures for Artificial Intelligence applications.
- Experience building and customizing structured execution models like (Reason + Act), Tree of Thoughts, and Plan-and-Solve loops to equip AI systems with cognitive scaffolding for decomposing unstructured goals into deterministic DAGs.
- Expertise in offline, online, and RL-based validation strategies. Proficient in aligning evaluation metrics with key business constraints—such as prioritizing Precision/Recall or Area Under the ROC Curve over standard Accuracy for imbalanced classification tasks.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Google
Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.
- Industry
- Internet
- Company size
- 180000+ employees
- Founded
- 1998-09-04
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25M raised
- 1999-06-07Series A$25M
Leadership
Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President and Chief Business Officer
Chief Executive Officer, Google Cloud
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