Corporate Development Operations & M&A Integration Lead

Location: Hybrid in Menlo Park, California, United States; in-office 3 days per week

Salary: $166,000–$239,200 per year

Company

Snowflake provides a cloud data platform and is developing AI-native capabilities for the agentic enterprise.

What you will do

• Lead the operational and integration aspects of M&A diligence, including organizational fit, operational readiness, integration risks, and cross-functional workstreams.
• Own acquisition integration planning and execution from late-stage diligence through steady state, including change management, employee retention, cultural transition, milestones, risks, and decision points.
• Track integration KPIs and synergy realization, report progress and blockers, and provide recommendations to deal sponsors and executive leadership.
• Build corporate development infrastructure, including deal pipeline processes, diligence templates, integration playbooks, governance cadences, and data and AI tools.
• Manage complex cross-functional programs and coordinate dependencies between deal teams and the broader organization.
• Support Snowflake Ventures portfolio management through QBRs, partnership coordination, financial reporting oversight, and product and go-to-market synergy analysis.

Requirements

• 7+ years of experience in corporate development, hands-on M&A integration, or technology-focused management consulting.
• Experience leading end-to-end integrations across acqui-hires, platform acquisitions, asset purchases, and mergers.
• Strong program management skills and the ability to manage complex stakeholder workstreams without direct authority.
• Clear communication with executives, functional partners, and founders, including senior stakeholder management.
• Experience with data and AI tools and a background in software, cloud, data, AI, or enterprise SaaS.
• Experience with go-to-market integration activities and managing or monitoring strategic investment portfolios.

Culture & Benefits

• AI is treated as a core collaborator for solving problems and improving how work gets done.
• Fast-moving environment with an experimental mindset and emphasis on testing new capabilities.
• Hybrid work arrangement with regular in-office collaboration in Menlo Park.
• Confidentiality and data security are essential parts of the role.