Senior Software Engineering Manager, Commerce AI, Backend

Join the Cloud Applied AI team to build the operational backbone for modern retail with Gemini Enterprise for Customer Experience. Our mission is to embed Google's foundational AI directly into retailer infrastructure, creating a "flywheel effect" where search, sales, and support converge. We are building the Shopping Agent, a multi-modal concierge (text, voice, visual) that acts as a full-stack sales and support expert for global enterprise brands like Macy's and Home Depot. As the Senior Software Engineering Manager for the newly established Back-end Pillar, you will lead a large and critical team of 16+ Software Engineers. You will own the core infrastructure, AI orchestration, and data pipelines powering the Commerce Shopping Agent. Your team will be responsible for automating the enterprise merchant on-boarding process to support rapidly growing backlog of 20+ customers, while simultaneously architecting highly complex backend features. These include context-aware memory management, an ultra-low latency architecture for contextual PDP prompts, and a secure routing framework for external customer support integrations.

The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment., * Manage, mentor, and scale a high-performing backend organization of 16+ Software Engineers divided into focused groups (e.g., onboarding automation, new features, horizontals/compliance, and platform/analytics).

• Oversee the automation of API ingestion, catalog integrations, and manifest configurations to accelerate our time-to-market for a massive pipeline of enterprise customers.
• Drive the technical design and execution of deep AI integration projects, including context-awareness, PDP contextual prompts, and customer support integration.
• Lead the backend data engineering required for the new Shopping Agent Console, including automating legacy queries, standardizing raw data exports, and building pipelines for deep-funnel conversion metrics.
• Ensure all backend systems meet strict enterprise security, tokenization, and privacy compliance requirements, including preventing cross-contamination of shopper memory across sessions and merchants.

• Bachelor's degree or equivalent practical experience.
• 8 years of experience with software development.
• 7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 5 years of experience in a technical leadership role.
• 5 years of experience in a people management or team leadership role., * Master's degree or PhD in Engineering, Computer Science, or a related technical field.
• 5 years of experience working in a complex, matrixed organization.
• Experience orchestrating Large Language Models, specifically dealing with context windows, memory management frameworks, and RAG architectures.
• Experience with enterprise security, PII masking, tokenization, and navigating legal and privacy reviews.
• Experience designing automated developer tools or customer onboarding platforms that drastically reduce deployment timelines.
• Familiarity with enterprise e-commerce backend systems (e.g., catalog management, real-time pricing and inventory pipelines, order management systems).

Parental leave, Health insurance, 401(k) matching, Paid time off, Vision insurance, Dental insurance, Disability insurance, Paid holidays, In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year, The US base salary range for this full-time position is $262,000-$365,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.