Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Manages partnerships with small-to-mid-sized retail accounts by executing account strategies, analyzing sales and operational performance, developing KPIs and improvement plans, and driving partner growth. Builds long-term relationships, identifies business opportunities, supports pipeline development, collaborates cross-functionally, and provides informal mentorship. The role emphasizes data-driven performance optimization, operational efficiency, and strategic partner success.

Leads Walmart’s Agentic Advertising strategy, developing AI-powered advertising products, agent-to-agent commerce capabilities, ecosystem partnerships, experimentation frameworks, measurement systems, and scalable platforms. Defines multi-year vision, builds cross-functional alignment, influences senior executives, and creates a high-caliber product organization focused on customer trust, advertiser outcomes, responsible AI, and new advertising business models.

Leads strategic ad partnership programs by managing relationships, negotiating agreements, overseeing budgets and financial analysis, renewing contracts, improving processes, and driving cross-functional execution. The role also develops team members through coaching and performance management while evaluating initiatives, removing obstacles, and delivering measurable business value.

Leads technical solutions consulting for Walmart Connect and Sam’s Club Connect partners across international markets. Manages and develops technical teams, strengthens integrations, supports advertising product adoption, identifies growth opportunities, and influences product roadmaps. Oversees strategic partner relationships, integration health, project scoping, partner readiness, and advertising performance. Requires extensive consulting or technical account experience, people management, advertising technology and API expertise, bilingual English-Spanish communication, and cross-functional leadership.

Leads Walmart Creative’s business strategy and financial planning function, overseeing FP&A, business operations, strategic investment analysis, data strategy, analytics, reporting, and workforce planning. Establishes the team’s vision and operating model, manages budgeting and forecasting, develops executive recommendations, and connects operational, financial, resourcing, workflow, and performance data to investment and business decisions. Requires multidisciplinary leadership experience, strong financial acumen, and experience in complex matrixed organizations.

Analyze complex competitive and market datasets, develop advanced statistical and machine learning models, and build scalable AI- and LLM-powered data products. Translate insights into strategic business decisions through reports, visualizations, and executive presentations. The role requires strong Python, SQL, and data engineering skills, experience developing governed AI agents, and the ability to mentor junior data scientists.

Leads competitive intelligence for product marketing, analyzing products, markets, competitors, pricing, positioning, and opportunities. Builds benchmarking frameworks, market-sizing and forecasting models, statistical analyses, experiments, and customer preference models. Translates complex findings into executive recommendations that shape product roadmaps, investment decisions, and go-to-market strategy. Partners with Product, PMM, Analytics, and business leaders while developing scalable competitive intelligence standards and playbooks.

Leads Walmart Connect’s Media Rating Council compliance program by coordinating external audits, collecting evidence, documenting controls, identifying technology and operational risks, and driving remediation. Partners with engineering, product, legal, finance, and operations teams to translate compliance requirements, support SOX activities, manage complex workstreams, and prepare leadership reporting. Requires expertise in IT general controls, data flows, system interfaces, audit readiness, corrective-action plans, and cross-functional risk management.

Analyze complex competitive intelligence datasets, develop advanced statistical and machine learning models, and build scalable AI- and LLM-powered data products. Translate findings into executive-level insights through reports, visualizations, and presentations. The role also requires mentoring junior data scientists and applying strong data engineering practices, including maintainable code, pipeline architecture, and performance optimization.