Assistant Manager, Agentic Search

COMPANY OVERVIEW

We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.​




OVERVIEW
The “Insights and Analytics” organization within General Mills’ Strategy and Growth function is responsible to deliver integrated consumer, customer, category, and business performance insights to power smarter, faster decisions and next-best actions, enabling precision in brand strategies, campaign execution, media and investment optimization across our US businesses and brands. The Insights and Analytics org has integrated teams operating from our Minneapolis and India offices. This is a newly created agentic AI role within our HQ Marketing Operations – Digital Transformation org, and will be based in our India office.

As the Agentic Search - Assistant Manager, you will be a key part of General Mills’ Marketing Activation and Operations team, helping translate real-time data signals into prioritized actions that improve the visibility, accuracy and representation of our brands in leading AI systems. This role will sit at the intersection of data and insight generation, with a focus on interpreting regular outputs from LLM (large language model) optimization partners and converting those outputs into clear, actionable recommendations for the broader AEO (answer engine optimization) team. You will regularly receive and analyze data from third-party vendors, identify what the results mean for content, help inform optimization decisions, map the phasing of recommended actions, and coordinate implementation with cross-functional partners. In addition, you will be directly responsible for hiring, mentoring, and coaching another Agentic AI Analyst, who will be reporting to you. As a thought leader, you will be building cross-functional relationships, and working across marketing, content, and operations teams to bring in key insights that are actionable and help us show up in the agentic results.

This role is ideal for a highly curious, detail-oriented analyst who enjoys working through complex datasets, finding the story in the data, and helping teams move from insight to action.

Based in the General Mills India Center (GIC), this role will operate as part of General Mills’ global model, with day-to-day work direction and priorities closely connected to U.S.-based functional partners and managers.

KEY ACCOUNTABILITIES

• Data Analysis & Performance Diagnostics: Analyze large, nuanced datasets from LLM optimization platforms to diagnose what is working, what is not, and where search visibility can be improved.
• Market & Competitor Trend Tracking: Maintain a proactive external view of relevant digital topics, retailer landscapes, and competitor movements to surface emerging generative search trends for internal teams.
• Strategic Planning & Prioritization: Translate complex, rapidly evolving AI engine outputs into prioritized, phased optimization plans that focus resources on the highest-value business opportunities.
• Cross-Functional Implementation: Coordinate closely with cross-functional partners to support the accurate, timely execution of approved optimization initiatives.
• Stakeholder Reporting & Capability Building: Track optimization outcomes, maintain organized reporting, and surface risks and follow-up opportunities to stakeholders while documenting learnings to refine the team's analytical approach over time.
• Global Operating Model Support: Enable a consistent, scalable way of working between U.S.- and India-based teams through proactive communication, strong organization, and clear documentation.
• Pillar Leadership: Build a high performing Agentic Analysis team in GIC, as an extension on the US Marketing Operations – Digital Transformation team. This involves both building the team, being responsible for deliverables – learning, context and acumen, and building capabilities/tools that may be required for the pillar.
• Influence and Stakeholder Management: Effectively communicate and provide leadership in meetings, influence decision making by proactively reaching out to stakeholders, ensuring timelines are met, meetings are productive and priorities are met timely.
• Mentor and coach the associate in India on best practices and remove roadblocks if any, with support from your manager
• Facilitate collaboration, knowledge sharing, and continuous improvement within the larger Agentic Search team
• Stay current on industry trends and consumer behavior insights, applying knowledge to refine and inform AI search optimization strategies.
  

MINIMUM QUALIFICATIONS

• Bachelor's degree in Marketing, Digital Marketing, Computer Science, IT, Data Analytics, or a related field, with an MBA in Marketing / International Business.
• 4–6 years of experience in SEO, organic search, content optimization or digital marketing, with 2+ years in AI Marketing Agents, AI Search Optimization, AEO, GEO or LLM-based search.
• Strong understanding of technical SEO, semantic/entity optimization, structured data, content strategy and AI-powered search platforms.
• Familiarity with ChatGPT, Gemini/Google AI Overviews, Claude, Perplexity and concepts such as LLMs, RAG and AI citations.
• Strong analytical, communication, project management and stakeholder-management skills.
• Ability to generate actionable insights to optimize brand strategy execution.
• Strong analytical, problem-solving, and data interpretation skills.
• Proficient in the use of Microsoft Excel, Navigating Tableau dashboards, R/SQL a plus

PREFERRED QUALIFICATIONS

• Experience with tools such as Google Search Console, GA4, Semrush/Ahrefs and Screaming Frog.
• Strong understanding of search relevance, ranking, personalization, and evaluation metrics.
• Data-driven approach to experimentation, performance monitoring, and continuous improvement.
• Ability to translate business needs into scalable search solutions and product roadmaps.
• Strong stakeholder management, communication, and cross-functional leadership skills.




ELIGIBILITY

Applicants must meet minimum age qualifications in the country in which the job is located.