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Own the end-to-end technical relationship for a single global financial services account: drive discovery, PoCs, technical closes, and expansion; design solutions for risk, regulatory reporting, fraud, customer intelligence, and AI/ML workloads; build demos and architectures; coordinate cross-functional Snowflake teams; and mentor junior solution engineers.

Lead go-to-market strategy and positioning for Snowflake's Interoperable Lakehouse across Apache Iceberg and Polaris. Create messaging, enablement, campaigns, and partner community programs; collaborate cross-functionally, inform product direction, develop competitive insights, and drive campaign success.

The Principal Software Engineer will build customer-facing AI Functions, design scalable platforms, collaborate across teams, and ensure service reliability.

Generate qualified pipeline by outbound prospecting and nurturing inbound leads. Research accounts, run targeted calling, email and social campaigns, set discovery meetings, collaborate with sales and cross-functional teams, and meet/exceed metrics and quotas in a fast-paced SaaS environment.

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.

Drive technical growth across Snowflake’s partner ecosystem in India. Collaborate with partners, sales, and solutions engineering teams; deliver technical training, workshops, certifications, demonstrations, and hackathons; develop industry solutions and accelerators; support customer engagements and proofs of concept; build partner Snowflake practices, roadmaps, reference architectures, and delivery methodologies; and advocate for partner and customer needs with product teams. Travel up to 50% within India is required.

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.

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.