Snowflake

Business Development Rep

• Enable deep Product Partnerships: Serve as the technical expert to drive product partnerships with leading startups, Foundation Model providers (e.g., OpenAI, Anthropic, Meta), and specialized AI companies (e.g., agentic platforms, inference clouds).
• Influence Product Roadmap: Provide critical, data-driven feedback from the AI startup ecosystem to Snowflake’s AI Product teams (AI Product Management, AI Engineering, Partner Solutions Engineering), directly influencing the Cortex roadmap priorities for features like inference capability on open-source models (Arctic Inference) and Cortex Rest API functionality.
• Establish Technical Governance: Ensure partner solutions and integrations adhere to Snowflake’s best practices for data governance, security, and performance optimization, particularly within the Snowflake Data Cloud perimeter.
• Technical Thought Leadership: Provide technical thought leadership on enterprise AI/ML architecture patterns (MLOps, data lake architectures, real-time inference).
• Field Enablement: Design and implement the technical portion of the field enablement program, training Startups Sales and Solutions Engineering (SE) teams on how to effectively sell FM access/token capacity and demonstrate Snowflake’s faster, more efficient inference capabilities.
• Execute Strategic GTM Plan: Drive the execution of the 2025/2026 AI Startups GTM Strategy by prioritizing, onboarding, and deeply engaging with the core ‘top 500’ Tier 0 (T0) and Tier 1 (T1) startups.
• Transform Partner Relationships: Strategically manage relationships with FM providers to move them beyond transactional sales channels into genuine product partnerships, ensuring shared GTM benefits and credit attribution for their representatives for consumption via Cortex.
• Drive PLG Motion: Strategically support a Product-Led Growth (PLG) motion by defining the technical value proposition and seamless experience for the Cortex Rest API, aiming to attract and onboard "off Snowflake" startups.
• Executive-Level Influence: Manage executive-level relationships with partner C-suite leadership and top T0/T1 startup founders, facilitating high-value technical and strategic alignment sessions.
• Cross-Functional Coordination: Lead a unified, cross-functional "AI Startups Tiger Team" across AI Product, Startups Sales, and Corporate Development to ensure coordinated GTM and ecosystem support.
• Cortex Rest API Adoption: Achieve measurable growth in API usage and new startup acquisition (Monthly new startups acquisition target, Revenue and token consumption by model provider).

AI/ML Business Development Lead – Product & GTM

Full-stack Engineer

• Solving real business needs at large scale by applying your software engineering and analytical problem solving skills.
• Design and implement scalable distributed systems for our cloud services.
• Analyze fault-tolerance and high availability issues, performance and scale challenges, and solve them.
• Understand trade-offs between consistency, durability and costs to build solutions which can meet the demands of rapidly growing services.
• Ensure operational readiness of the services and meet the commitments to our customers regarding availability and performance.

Software Engineer – Jobs Platform

General Counsel

• Provide practical legal guidance on privacy and data compliance requirements for new and emerging technologies.
• Partner cross-functionally with Product, Engineering, Security, Compliance and Go-To-Market teams to embed privacy-by-design into products and processes.
• Support and help scale Snowflake’s global privacy and data compliance programs, including GDPR and other evolving regulatory frameworks.
• Translate complex legal and regulatory requirements into clear, actionable guidance for technical and business stakeholders.
• Identify, assess and mitigate privacy and data protection risks while enabling business objectives.
• Contribute to global privacy reporting, documentation, and regulatory readiness efforts.
• Collaborate closely with Legal and Privacy team members, sharing knowledge and supporting a culture of teamwork and continuous improvement.
• Develop and automate processes to scale efficiencies and compliance controls
• Develop and iterate on privacy-related notices, policies, procedures, and guidelines.
• Assist corporate, product, and marketing teams with developing marketing collateral to tell our privacy and data compliance story.
• Research and evaluate the applicability and impact of global privacy and data compliance laws, legislation and regulatory guidance.

Corporate Counsel 2 – Privacy & Data Compliance

Customer Support

• Define and drive strategic projects that shape the future of how the CX organization operates.
• Collaborate closely across diverse technical and operational teams, acting as the primary facilitator between Solution Engineering, Delivery Services, Support, and Engineering to ensure unified direction.
• Identify opportunities for efficiency and lead the adoption of new tools and processes across the organization.
• Leverage a multitude of ever-changing AI tools to solve complex business challenges and enhance team capabilities.
• Untangle complex problems by applying a logical sequencing of steps to resolve ambiguity and drive progress.
• Translate technical requirements into clear operational strategies, ensuring smooth handoffs and alignment between stakeholders.

Product Manager – Customer Experience

Account Executive

• Become an expert on Snowflake’s product and conduct discovery calls, customized demos, and presentations to prospective customers
• Be the trusted advisor to the customer by understanding their existing and future IT roadmap to drive the Snowflake solution within the marketplace
• Prospect qualification and the development of new sales opportunities and ongoing revenue streams
• Land, adopt, expand, and deepen sales opportunities with accounts in your region
• Achieve sales quotas for allocated accounts and/or territory on a quarterly and annual basis by developing a sales strategy in the allocated territory with a target prospect list, and a regional sales plan.
• Work closely with cross functional teams including sales engineering, professional services, marketing, legal and finance.

Account Executive – Enterprise Accounts

Solutions Engineer

• Present Snowflake technology and vision to executives and technical contributors at prospects and customers
• Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle
• Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors
• Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

Principal Solution Engineer

• Present Snowflake technology and vision to executives and technical contributors at prospects and customers
• 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

Solution Engineer

Senior Solutions Engineer

Financial Planning and Analysis

• Manage quarterly/monthly topline forecasts by evaluating sales pipeline and key opportunities.
• Support month-end and quarter-end FP&A close processes.
• Provide weekly insights to finance and sales leadership on quarter performance vs. top line forecasts and targets
• Conduct ad-hoc analysis to inform and influence key decision-makers in Finance, Sales, and Field Operations.
• Coordinate effectively with cross-functional partners, including Corporate and other FP&A teams, Data Science, Sales Strategy, Field Operations, and Sales Leaders.
• Develop and maintain a long range sales capacity model
• Leverage AI tools to enhance efficiency across sales finance processes.

Senior Sales Finance Analyst

Operations

• Analyze large-scale consumption, workload, and performance datasets to uncover insights, trends, and optimization opportunities.
• Build unit economic models such as cost per query, cost per TB scanned, cost per user, efficiency benchmarks across workloads.
• Explore and interpret internal metadata pipelines created by Product/Data Science teams to understand compute, storage, and pipeline behaviors.
• Translate quantitative findings into clear, actionable insights that help customers reduce waste and improve ROI.
• Develop reusable analytical frameworks for consumption modeling and workload optimization.
• Partner with account teams, Sales Engineers, and Value Engineers to support customer conversations with data-backed recommendations.
• Build customer-facing deliverables using Jupyter notebooks, dashboards, and executive-ready PowerPoint narratives.
• Continuously refine analytical approaches to improve accuracy, benchmarking quality, and scale of FinOps engagements.

Value Engineer – FinOps, Growth Analytics

Manager

• Recruit and build successful sales professionals into high-performing revenue drivers for Snowflake
• Build cross-functional relationships with internal and external support teams & technical partners
• Influence go-to-market strategy for venture backed/high growth startups.
• Develop a team culture around Snowflake Core Values
• Sell an industry changing and market defining product

District Manager, Enterprise Acquisition

• Develop & Maintain Financial Models.
• Drive Revenue & Margin Insights.
• Partner with PMs and Sales.
• Data-driven Insights (SQL).
• Accelerate Insights with AI.
• Build Scalable Reporting & Tooling.
• Optimize Cloud Spend & Infrastructure.

Product Workload Finance Analyst

Product Manager

• Deeply understand our customers and their needs, and develop hypotheses on how to effectively drive user signups, onboarding and engagement.
• Drive experimentation and rapid iteration with a high velocity of product launches to accelerate user growth and expansion.
• Define and track key business and usage analytics to measure success, including advanced engagement metrics that go beyond traditional activation and retention.
• Collaborate with engineering, data science, marketing, sales and partner product teams to deliver cohesive experiences and go-to-market strategies.
• Champion a customer-centric, data-driven approach to product development, balancing speed, quality, and business impact.

AI/ML Business Development Lead – Product & GTM

Software Engineer – Jobs Platform

Corporate Counsel 2 – Privacy & Data Compliance

Product Manager – Customer Experience

Account Executive – Enterprise Accounts

Principal Solution Engineer

Solution Engineer

Senior Solutions Engineer

Senior Sales Finance Analyst

Value Engineer – FinOps, Growth Analytics

District Manager, Enterprise Acquisition

Product Workload Finance Analyst

Product Workload Finance Analyst

Solutions Engineer

Product Manager – Growth