Snowflake

Solutions Engineer

• Provide the confidence to challenge unrealistic customer requests and offer strategic trade-off options to protect project health and customer success.
• Lead deep technical discovery pre-signature and implement formal, auditable change management processes for all scope modifications.
• Own the accuracy of bookings forecasts and financial milestones in SFDC, ensuring the commercial health of the practice.
• Translate complex business challenges into milestone-driven roadmaps, ensuring SOW alignment with customer Use Cases.
• Network with senior internal and external personnel in your area of expertise to drive alignment on the "Unified Front."

Services Solutions Manager

Project Manager

• Establishes comprehensive Quality Assurance (QA) frameworks for regional delivery teams to validate architecture and mitigate delivery risks.
• Directly oversees multiple concurrent, complex enterprise modernization workstreams moving from legacy platforms to Snowflake.
• Negotiates complex, high-stakes SOWs and advises customer senior management and C-suite stakeholders on technical debt minimization, risk mitigation, and modernization ROI.
• Establishes clear regional operational objectives, delegates assignments to lower managers, and guides team performance.
• Owns regional delivery revenue targets, drives quarterly forecast accuracy, and maintains strict adherence to long-term regional work plans and budgets.
• Maintains full hire-to-headcount accountability for the regional talent lifecycle, ensuring teams are scaled and actively mentored in alignment with regional business plans.

Senior Manager, Project Delivery

Cloud Engineer

• Manage customer cases and are accountable for accelerating their time-to-resolution, ensuring platform stability, and driving a world-class support experience
• Own the Customer Experience: Manage customer issues from initial triage through resolution and follow-up, ensuring clear communication and timely updates
• Deliver Support Value with AI: Leverage AI assistants and diagnostics to accelerate triage and root-cause analysis while maintaining accuracy and safety standards
• Outcome-Based Support: Focus on business impact, ensuring resolutions fix issues, reduce recurrence, and improve reliability
• Provide technical analysis and guidance via email, web, and phone, adapting to customer expertise levels
• Use AI to summarize logs, generate hypotheses, and draft responses—critically validating outputs before sharing
• Utilize Snowflake environment, connectors, and internal tools to investigate and test solutions
• Partner with Engineering, Product, and Customer Success to resolve systemic issues
• Document solutions in knowledge bases, refining AI-assisted drafts for quality
• Provide input on product behavior, documentation gaps, and AI-tool performance
• Document and collaborate on bugs and feature requests with engineering teams
• Support holiday/weekend rotations and on-call requirements

Senior Cloud Support Engineer

• Project Governance: Maintain project documentation and track task effort in Smartsheet or Certinia.
• Work Structures: Create granular Work Breakdown Structures (WBS) and associate effort and resource naming to specific tasks.
• Meeting Leadership: Lead internal and client meetings with thorough documentation and rigorous follow-up.
• Conflict Management: Navigate internal resource conflicts effectively to keep projects on track.
• Success Metrics: Maintain project margins within +/- 5% of target and achieve CSAT scores greater than 4.0.

Project Manager, Spanish

Full-stack Engineer

• Solve real business needs at large scale by applying your software engineering and analytical problem solving skills.
• Design, implement and maintain scalable distributed systems for our cloud automation platform that includes cloud control plane, Kubernetes container platform and traffic and networking.
• Work directly with customers to quickly understand their critical problems and design and implement solutions.
• Deploy and maintain availability of cloud compute servers and Kubernetes cluster that power the Snowflake platform in sensitive (sometimes air-gapped) production environments.
• Implement software and maintain delivery pipelines that support continuous delivery and automatic compliance in sensitive runtime environments.
• Ensure operational readiness of the services and meet commitments to our customers regarding security, reliability, availability, and performance.
• Collaborate closely with product teams on requirements & SLOs for deploying software into air-gapped environments.
• Identify, troubleshoot, and solve network & systems issues.
• Automate away routine operational tasks.

Senior Software Engineer – NatSec

Account Manager

• Strategic Go-to-Market: Work closely with Snowflake’s longtail partners to help them build and scale in our Partner Program.
• Collaborate on joint GTM strategies including strategic objectives and target markets/industries.
• Define joint industry solutions and offerings with that demonstrates capability while differentiating the partner.
• Achieve partnership goals including sales quota and marketing activities; this is a quota carrying position.
• Practice Development: Inspire your partners to grow their practices with Snowflake.
• Evaluate their expertise, capabilities, and delivery quality and activate the GTM programs accordingly.
• Define certification growth plans and support enablement of the partners.
• Cultivate strong and lasting relationships with key Sr executives and decision-makers at the partners.
• Results-oriented Partner Management: Effective and proven Partner Management skills will be necessary to manage the alliance development lifecycle for your partners.
• This will require the ability to be a self-starter focused on building and owning the 360-degree relationship.
• Cross-Functional Collaboration: Collaborate with other departments, such as product development, sales, sales engineering, professional services, legal and marketing, to ensure a seamless partner & customer experience.
• Share partner & customer feedback and insights with relevant teams to drive continuous improvement.
• Co-Marketing Initiatives: Coordinate and execute co-marketing activities, including events, webinars, and content creation, to increase partner brand visibility and generate leads.
• Deal Support: Assist your partners in navigating Snowflake’s partner program & sales process, including deal registration, proposal support, reporting and alignment with Sales Leadership.
• Collaborate with internal teams to ensure a smooth and efficient sales cycle.
• Deliver on Performance: Monitor the performance and success of your assigned partners related to specific metrics.
• It is important to have the ability to shift priorities, take risks and think outside of the box to deliver on key criteria.

Senior Partner Development Manager

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 Acquisition

• Strategic Account Alignment with top accounts for SI partners
• Identify and prioritize AI/ML customer journeys for SI partner top accounts
• Provide support for partners during RFI/RFP processes and POCs
• Develop and share best practices and POC frameworks
• Collaborate on creating and managing Partner Snowflake Centers of Excellence (COE)
• Drive partner capabilities maturity for each AI/ML product category
• Deliver public webinars and product roadmap sessions
• Build or replatform Partner-led Joint Industry Solutions for AI/ML
• Assist partners with asset creation for AI/ML product categories
• Align AI/ML customer journeys with Partner Solutions/Offerings
• Enable partners to leverage Cortex AI for gen AI customer journeys
• Support partners in implementing end-to-end ML development and MLOps
• Advise partners on using Cortex AI for unstructured data analytics
• Mentor and guide junior cloud architects in critical AI/ML engagements

Principal Data Cloud Architect

• Own the overall joint GTM strategy and execution plan for assigned cloud partner(s)
• Build and manage a portfolio of cloud partner product integrations and joint solutions
• Develop Joint Industry Solutions, co-sell assets, and cloud marketplace offerings
• Drive joint account planning with field AEs and cloud Alliances teams against top-account lists
• Lead and manage the full co-sell lifecycle from opportunity identification to production deployment
• Deliver packaged POCs and customer workshops around high-impact co-sell plays
• Mentor junior Solutions Engineers on cloud partner engagement models and technical delivery

Cloud Partner Solutions Engineer – Microsoft Azure

• 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

Principal Solution Engineer

Operations

• Provide comprehensive operational oversight for a large-scale organization, driving quantifiable business improvements through a rigorous, data-backed inspection of the business.
• Harness AI and data platforms (e.g., Salesforce, Sigma, Snowflake) to proactively audit business health, delivering actionable insights and executive-level materials for recurring business reviews.
• Partner with leadership to architect precise forecasts and track key performance indicators (KPIs), ensuring the organization consistently hits strategic milestones and revenue targets.
• Maintain a proactive, "owner" mindset. You should be energized by the challenge of navigating ambiguity and defining your own high-impact projects based on evolving business needs.
• Serve as the primary strategic bridge between SE leadership and Sales Operations, ensuring technical field efforts are fully synchronized with broader GTM objectives.
• Act as a trusted advisor to senior field leadership, providing the operational framework and oversight necessary to manage a large, multi-layered organization.
• Establish and scale regional operational standards, from orchestrating new product launches to designing standardized communication frameworks for the theater.
• Collaborate with the Global Field Operations team to design and deploy international initiatives that align with the core objectives of the Chief Revenue Officer.

Field Operations Strategy Manager

• 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 Acquisition

Analytics Engineer

• Use SQL, Python, Snowflake, dbt, Airflow, and other systems while working within an agile development model to build and maintain data infrastructure for use in reporting, analysis, and automation
• Perform data QA and develop automated testing procedures for use with Snowflake data models
• Translate reporting, analysis, and automation requirements into data model requirements and specifications
• Work with IT and other technical stakeholders to source data from key business systems and Snowflake databases
• Architect flexible, performant data models that will support a wide range of use cases while driving the organization towards single sources of truth
• Provide input into data governance strategies and frameworks including permissions and security models, data lineage systems, and data definitions
• Meet regularly with Accounting BI and technical leads to define requirements, formulate project plans, provide status updates, and perform user testing and QA
• Build and maintain user friendly documentation for data models and key metrics
• Identify weaknesses in processes, data, and systems, and drive organizational improvements within the Analytics Engineering team

Staff Analytics Engineer – Accounting

• Design and build AI-first platforms, tools, and best practices to significantly enhance the developer experience for Snowsight
• Drive strategy and initiatives to improve agentic development workflows and build infrastructure to support 10x increases in developer productivity
• Improve platform reliability by investing in observability, alerting, SLOs, and automated remediation across our systems.
• Collaborate with product managers, architects, other engineering teams, and business groups, to drive end-to-end solutions.
• Contribute to improving our engineering processes, tooling, and standards.

Principal Software Engineer

Software Engineer

• Recruit, mentor, and scale a high-performing, global engineering organization. Foster a culture of innovation, ownership, and engineering excellence.
• Define the long-term technical vision and organizational structure for the AI Solutions team, ensuring alignment with Snowflake's product evolution and business goals.
• Lead the technical design and development of advanced AI and machine learning solutions using Snowflake Cortex and Snowflake ML. Own the end-to-end implementation of the AI Solutions product line, from initial concept to enterprise-grade production deployments.
• Act as the senior engineering authority in customer engagements. Partner closely with Fortune 100 customers and our Go-To-Market (GTM) teams to understand their needs and ensure our solutions drive tangible business impact.
• Serve as the engineering voice in strategic planning cycles, influencing headcount, budget, and product roadmaps. Forge strong partnerships with Product, Research, and Sales teams to deliver cohesive and powerful solutions.
• Drive continuous improvement in AI methodologies and best practices. Represent Snowflake's AI capabilities and vision within the broader technical community.
• Potential for up to 25% travel to engage with customers and global teams.