Snowflake

General Counsel

• Day-to-day product counseling for AI Governance, Data Clean Rooms, and Native Apps.
• Collaborate with PMs and engineers as features get scoped and built.
• Dive deep on feature functionality, identifying risks and designing meaningful risk mitigation and compliance strategies.
• Advise on issues relating to IP, privacy, regulatory, contract architecture, and product policy.
• Manage AI Forward Deployed Engineering engagements. Support commercial negotiations and drive cross-functional alignment with tax, accounting, finance, product, and engineering stakeholders.
• Draft and maintain customer-facing legal terms tied to new product offerings and launches.
• Discover new best practices for product counseling in the AI era by reimagining how legal work can be done.

Corporate Counsel 2 – Product

Backend Engineer

• Apply your multi-cloud data architecture expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners
• Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation
• Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
• Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

Senior Data Platform Architect

Director

• Own the end-to-end strategic relationship and global go-to-market execution for Snowflake’s partnership with Google Cloud Platform.
• Work collaboratively with Google Cloud’s corporate alliance leadership to build and execute a comprehensive annual joint business plan.
• Prepare for and lead Quarterly Business Reviews and strategic touchpoints with senior executives.
• Act as the primary global evangelist for the partnership, fostering relationships across relevant business lines at Google HQ.
• Own and evolve the global GCP–Snowflake GTM strategy, focusing on pipeline creation and global market expansion.
• Serve as the strategic point leader for field-level engagement and build scalable enablement motions.

Global Alliance Director, GCP

Product Marketing

• Own and evolve the global AWS–Snowflake GTM strategy, focusing on pipeline creation, co-sell velocity, and market expansion.
• Act as the global point leader for field-level co-sell engagement, enabling Snowflake and AWS sellers to collaborate effectively on active deals and new opportunities.
• Leverage AWS Partner Central and AWS Marketplace to accelerate deal registration, incentives, and co-sell execution.
• Lead senior-level engagements across AWS's field sales and industry teams, shaping long-term strategic direction and partnership milestones.
• Align Snowflake's solution plays with AWS’s industry priorities, ensuring coordinated messaging, content, and field-ready enablement.
• Partner with Snowflake's Cloud Partner Sales, Industry GTM and Solutions Engineering teams to deliver joint plays that drive measurable pipeline impact.
• Serve as the global escalation point for co-sell blockers, marketplace hurdles, funding program alignment, and AWS Marketplace issues.
• Develop scalable enablement motions — including playbooks, seller guides, and joint value messaging — to empower Snowflake and AWS field teams.

Alliances GTM Director

Solutions Engineer

• Lead technical discovery, solution design, and proof-of-value engagements with enterprise customers across all industries
• Translate complex business requirements into architectures leveraging the Snowflake Data Cloud (data engineering, data science/AI/ML, data sharing, applications, and security/governance)
• Deliver compelling technical presentations, demos, and workshops to audiences ranging from individual contributors to C-suite executives
• Partner with Account Executives to drive pipeline, accelerate deals, and close business
• Serve as the voice of the customer back to Product and Engineering teams
• Build and maintain reusable assets: demo environments, reference architectures, and solution accelerators
• Stay current on competitive landscape, industry trends, and emerging capabilities across the data & AI ecosystem

Senior Solution Engineer

Recruitment

• Deliver hires that directly shape Snowflake's technical leadership bench and long-term technical strategy; includes Director+ leadership and world-class Principal & Distinguished Engineering talent
• Be a player/coach while leading a small team of executive recruiters and researchers focused on Director+ technical leadership and Principal/Distinguished Engineers across Snowflake's engineering and product management organizations
• Develop and execute proactive talent strategies that build long-term relationships with world-class technical leaders before roles are open
• Transform reactive recruitment into a market intelligence function, coaching your team to become domain experts and trusted advisors to executive hiring managers
• Partner directly with VPs and SVPs of Engineering & Product Management to define leadership talent needs, calibrate profiles and influence hiring decisions
• Build and refine AI-augmented recruiting workflows, leveraging Snowflake's AI tools (Cortex AI, agentic automation) to accelerate sourcing, candidate intelligence, and pipeline management
• Set quality and velocity standards for executive searches, using data to identify bottlenecks and continuously improve outcomes
• Cultivate a culture of experimentation on your team, encouraging the adoption of new technologies and approaches to executive talent engagement
• Represent Snowflake's employer brand at the executive level, creating compelling narratives that resonate with senior technical leaders considering their next move

Senior Manager, Technical Recruiting

AI Engineer

• Own features end-to-end for Snowflake Cortex Code products. Build agentic workflows, coding harnesses, evaluation pipelines.
• Build enterprise-grade context engineering: function calling, tool schemas, guardrails, agent teams, and verification/repair.
• Design evals and hillclimb : create golden sets, create rubrics and metrics, analyze errors, run experiments to hill climb on the metrics.
• Partner with product and infra: translate customer problems into products and experiments. Collaborate with infrastructure teams to productionize improvements.
• Work with an elite team of engineers towards building great products

Senior AI Engineer – Cortex Code

• Be a technical expert on all aspects of Snowflake
• Deploy Snowflake following best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own
• Work hands-on with customers to demonstrate and communicate implementation best practices on Snowflake technology
• Maintain deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
• Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments
• Provide guidance on how to resolve customer-specific technical challenges
• Support other members of the Service Delivery team develop their expertise
• Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

Technical Architect

Account Manager

• Revenue & Quota Ownership: Achieve and exceed quarterly and annual sales targets through strategic planning and execution.
• Strategic Account Leadership: Build and drive the global account plan for AT&T, aligning Snowflake resources and investments to AT&T, top business priorities.
• Trusted Advisor: Engage senior executives and C-suite stakeholders by understanding AT&T's IT, data, and digital transformation roadmap, and position Snowflake as a key enabler of those initiatives.
• AT&T's Creation & Expansion: Identify, qualify, and close new opportunities across AT&T's business units, regions, and subsidiaries to generate long-term, recurring revenue.
• Executive Engagement: Lead high-level conversations with executives across technology, data, and business lines; deliver compelling business value and ROI messaging.
• Team Orchestration: Collaborate cross-functionally with Snowflake teams—marketing, partner sales, value engineering, legal, product, and professional services—to deliver AT&T-specific solutions and ensure customer success.
• Relationship Growth: Cultivate lasting relationships with decision-makers and influencers to ensure ongoing satisfaction and to expand Snowflake’s footprint across AT&T.

Global Account Manager, Telco

Data Engineer

• Design, develop, and maintain scalable data pipelines using Snowflake and cloud technologies.
• Own and manage cost optimization for Product and Data Science team operations.
• Optimize pipelines for performance, reliability, and efficiency.
• Build and maintain dashboards and reporting platforms using Streamlit.
• Collaborate with cross-functional teams to gather requirements and deliver robust data solutions.
• Work with modern AI tools, including Cursor, to accelerate development.
• Implement data governance, security best practices, and access control policies.
• Develop and enforce data quality checks, SLA monitoring, and dependency tracking.
• Utilize version control systems (e.g., Git) and manage deployment workflows.
• Proactively troubleshoot and resolve data-related issues.