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Lead M&A diligence and post-close integration execution, build corporate development operations (playbooks, templates, AI-enabled tooling), manage cross-functional program delivery, track integration KPIs and synergies, and oversee Snowflake Ventures portfolio coordination and reporting.

As a Sales Development Representative at Snowflake, you will drive lead generation by setting meetings, conducting outreach, and collaborating closely with sales and marketing to generate new business.

Lead enterprise implementations of Observe from kickoff through production readiness. Design telemetry pipelines for logs, metrics, and traces; configure OpenTelemetry instrumentation and collectors; migrate Splunk, ELK, and other monitoring environments; and build dashboards, alerts, and datasets. Establish milestones, address technical risks, enable customer self-sufficiency, and collaborate with engineering, product, support, observability engineers, and architects to ensure successful post-sales adoption.

Execute global talent programs, including performance review cycles, employee listening surveys, talent and succession reviews, and 360 feedback platform administration. Coordinate Workday testing, communications, documentation, reporting, user support, vendor workflows, purchase orders, budgets, and invoicing. Track milestones, participation, data quality, and action items while partnering with People, Finance, Procurement, Legal, analytics, and external vendors to improve program efficiency and scale.

Own technical relationships with strategic enterprise customers, driving Observe adoption, optimization, and operational value. Partner with SRE, DevOps, platform, and engineering teams to integrate observability into workflows, improve telemetry quality, reliability, performance, and cost efficiency, and guide architecture decisions. Lead health checks, architecture reviews, technical escalations, change events, and expansion opportunities while providing clear technical communication to practitioners and executives.

Customer-facing Solution Engineer partnering with Sales to help organizations modernize data architecture and implement AI solutions. Responsibilities include leading AI strategy discussions, designing and demonstrating scalable SQL- and Python-based solutions, supporting enterprise proofs of concept, translating technical concepts into business outcomes, and influencing complex sales cycles. The role requires strong communication, technical credibility, AI/ML knowledge, and the ability to use AI tools to improve demonstrations and preparation.

Leads Professional Services strategy, sales execution, and delivery for Snowflake customer accounts. Owns the services lifecycle from opportunity scoping and proposals through delivery, forecasting, financial management, and customer success. Develops services roadmaps, SOWs, business value assessments, and data transformation strategies; collaborates with executives, sales, technical teams, partners, and delivery organizations. Manages bookings, utilization, consumption, project outcomes, escalations, and process improvements while advising clients on cloud data warehousing, business intelligence, AI, and digital transformation solutions.

Drive complex enterprise sales cycles by presenting Snowflake solutions, leading value-based demonstrations and proofs of concept, conducting technical discovery, and connecting customer business needs to data architecture solutions. Partner with sales, channel partners, Product Management, Engineering, and Marketing while advising executive and technical audiences on cloud data, machine learning, and generative AI technologies. Approximately 30% travel is expected.

As an Analyst in Finance Analytics & AI, you will develop AI agents to automate finance workflows, build data models, and create user-friendly applications for stakeholders, ensuring accurate financial analysis and reporting.

Own and operate Snowflake’s Zscaler Zero Trust platform, including ZIA, ZPA, ZDX, and ZCC. Manage Palo Alto firewalls and VPNs, Aruba wireless, and Cisco networking while supporting AWS, Azure, and GCP connectivity. Lead complex incident response, root-cause analysis, office network deployments, automation, observability, documentation, and major incident response. Participate in on-call rotations and travel internationally for site builds.