--- title: 'Sr. Certification Development Program Manager at Snowflake' canonical: 'https://feeny.ai/job/sr-certification-development-program-manager-snowflake-menlo-park-7f3sgg62yapm' type: 'job' last_seen: '2026-09-18' --- # Sr. Certification Development Program Manager at Snowflake - **Company:** [Snowflake](https://feeny.ai/companies/snowflake) - **Location:** Menlo Park, CA - **Compensation:** $144k–$189k - **Employment:** full-time - **Posted:** 2026-08-28 - **Last confirmed live:** 2026-09-18 - **Apply:** https://jobs.ashbyhq.com/snowflake/450d9669-ec61-4170-81e9-c537f7e7aef9 ## Job description At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Snowflake Global Revenue Enablement team is fanatical about building and certifying technical champions worldwide. We deliver innovative learning and enablement solutions that empower individuals to excel on the Snowflake AI Data Cloud. We are looking for an elite Sr. Certification Development Program Manager (PM) to lead technical certification releases, assessment architecture, and exam development for the SnowPro Certification program. This hands-on, technical role requires a self-starter who thrives in a fast-paced environment and bridges the gap between technical implementation, psychometric exam development, and practical assessment experiences for a global network of Snowflake experts. ## Responsibilities - Multi-Modal Assessment Architecture: Design, develop, and deploy lab-based practical assessments (including architectural concepts and automated scoring scripts), micro-credentials, performance-based tasks, and rubric-based evaluations for demonstrated hands-on skills. - SME Workshop Facilitation: Recruit, train, and lead global Subject Matter Experts (SMEs) through synchronous and asynchronous exam development workshops, including Program Design, Job Task Analyses (JTA), item writing, technical reviews, and standard setting (cut-score) sessions. - Technical Question Validation & Quality: Author, review, and technically validate advanced scenario-based exam questions to ensure alignment with Snowflake platform updates, AI/ML features, and architectural best practices. - Editorial & Style Governance: Review and revise exam content for grammar, punctuation, spelling, style, and tone, ensuring readability and strict adherence to Snowflake editorial standards. - End-to-End Program & Project Management: Use project management tools and methodologies to manage medium-to-large-scale exam development projects, directing simultaneous releases to deliver high-quality outputs on time. - Vendor & Psychometric Collaboration: Partner with psychometricians and delivery vendors (e.g., Pearson) to monitor statistical item performance, manage item banks, ensure QTI compliance, and enforce strict exam security. - Localization & Publishing Management: Oversee the operational workflows, publishing, maintenance, and global localization processes for all certification forms and program assets. - Enablement, Marketing & Launch: Drive new and updated exam launches by developing study guides, practice exams, web content, program articles, and blog posts to drive candidate success and program awareness. - Cross-Functional Alignment: Collaborate with Engineering, Product Marketing, and Technical Documentation teams to keep certification paths continuously synchronized with major platform releases and product roadmaps. ## Requirements - Content & Assessment Expertise: 6+ years of experience in technical content development, certification design, assessment engineering, or IT/technical training in enterprise software environments. - Technical Proficiency: 2+ years of hands-on experience designing and building technical labs, practical assessments, or hands-on environments across enterprise cloud or data platforms (e.g., Snowflake, AWS, Azure, GCP). - Project Management & Operations: Demonstrated success leading complex, multi-stakeholder technical projects from concept to launch using standard PM tools and frameworks in fast-paced or asynchronous environments. - Education & Experience: Bachelor’s degree in Information Systems, Data Engineering, Education, Statistics, or equivalent practical experience. - Communication: Exceptional ability to translate complex cloud architectural patterns into clear, evaluative assessment objectives and crisp editorial content. Preferred Skills: - Certification: SnowPro Core or SnowPro Advanced Certified. - Platform Experience: Direct hands-on experience with the Snowflake AI Data Cloud, including proficiency in SQL and/or Python. - Assessment Tools & Standards: Experience with item banking platforms (e.g., Pearson ExamDeveloper) and assessment standards like QTI (Question & Test Interoperability). - AI/ML & GenAI Workflows: Hands-on experience or familiarity with LLMs, AI/ML workflows, and building agents. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: [careers.snowflake.com](http://careers.snowflake.com) ## About Snowflake ## Company Overview - **One-liner**: Snowflake provides an AI Data Cloud platform that enables enterprises to store, analyze, and securely share their data across multiple clouds and geographies. - **Entity Type**: Public (NYSE: SNOW) - **Headquarters**: Bozeman, Montana, United States - **Founded**: 2012 - **Founders**: Not explicitly listed in the provided search results (widely known co-founders include Benoit Dageville, Thierry Cruanes, Marcin Zukowski – not verified in these search results) ## Core Business - **Primary Industry**: Enterprise software, cloud data platform - **Target Customers**: B2B, including large enterprises (e.g., hundreds of the world’s largest companies), mid-market, and SMBs - **Mission**: “To Mobilize the World’s Data” (Glassdoor) and “empower every enterprise to achieve its full potential through data and AI” (Snowflake Careers page) ## Products & Services - **Snowflake AI Data Cloud**: A unified, multi-cloud platform that combines data warehousing, data lakes, data sharing, and AI/ML capabilities. Customers can discover, share, and analyze data while running analytic workloads across public clouds (AWS, Azure, GCP). - **Snowflake Marketplace**: A marketplace for discovering and accessing third‑party data sets and applications. - **Snowflake‑Powered Applications**: Platform for building and deploying data‑intensive applications. ## Market Standing - **Valuation/Market Cap**: Not directly provided in search results (as a public company, market cap fluctuates and is available on financial websites). - **Key Metric**: Annual Revenue – $1 to $5 billion (USD) per Glassdoor. - **Notable Investors/Partners**: Not explicitly mentioned in the search results (historically backed by Sequoia Capital, Dragoneer, etc. – not verified here). - **Growth Signals**: - Named #1 on the 2023 Fortune Future 50 List ([Fortune.com](https://fortune.com)) - Listed as a U.S. Best Large Place to Work by BuiltIn in 2024 - Recognized as one of the “20 Coolest Cloud Software Companies” by CRN in 2022 and 2024 - Headcount of 5,001–10,000 employees with 30 global locations; actively hiring - Revenue range $1B–$5B indicates strong scale ## Competitive Advantages - **Multi‑Cloud Flexibility**: Operates across AWS, Azure, and GCP, avoiding vendor lock‑in. - **Unified Data Experience**: One platform for data sharing, analytics, and AI, reducing silos. - **Separation of Compute and Storage**: Allows independent scaling and cost efficiency (not detailed in provided sources, but a known differentiator). - **Strong Ecosystem**: Data marketplace and extensive partner network. ## Strategic Focus - **AI & Data Innovation**: The company’s current emphasis is on making “enterprise AI easy, efficient, and trusted” and integrating AI capabilities into the Data Cloud. - **Global Expansion**: Active hiring across 30 locations indicates continued geographic growth. - **Customer‑Centric Development**: Focus on empowering enterprises to achieve “full potential through data and AI.” ## Why Work Here - **Culture**: Described as “driven by innovation, low egos, high bars, and collaboration” (Snowflake Careers page). Glassdoor rating of 3.9/5 overall (78% approve CEO). - **Work‑Life Balance**: Glassdoor rates Work/Life Balance at 3.7/5; many remote and hybrid roles available (see Indeed listings). - **Benefits**: “Benefits & Beyond” program includes competitive compensation, equity, career advancement programs, and commitment to pay equality and veteran hiring. - **Engineering Focus**: Hiring process includes 2–4 week timeline with technical interviews; the company values impactful, project‑based work for all roles, including interns. - **Recognition**: Named a Best Large Place to Work (BuiltIn 2024) and future‑focused by Fortune, signaling strong employer brand. ## Sources 1. [Snowflake Careers Overview](https://careers.snowflake.com/us/en) 2. [Life at Snowflake](https://careers.snowflake.com/us/en/snowflake-life) 3. [Snowflake on Glassdoor](https://www.glassdoor.com/Overview/Working-at-Snowflake-EI_IE928471.11,20.htm) 4. [Snowflake Hiring Process](https://careers.snowflake.com/us/en/gethired) 5. [Snowflake on Indeed](https://www.indeed.com/cmp/Snowflake-7f4a7fba) 6. [Snowflake Careers Portal (Ashby)](https://jobs.ashbyhq.com/snowflake) – provided by user ## Other roles at Snowflake - [Staff Software Engineer, Frontier Security Team](https://feeny.ai/job/staff-software-engineer-frontier-security-team-snowflake-menlo-park-s0j1d6rx7y26) — Menlo Park, CA - [Solutions Architect, Frontier Engineering](https://feeny.ai/job/solutions-architect-frontier-engineering-snowflake-tokyo-sm1dgx3ybzss) — Tokyo, Japan - [Sales Development Representative](https://feeny.ai/job/sales-development-representative-snowflake-menlo-park-rgxgzwcztf7b) — Menlo Park, CA - [Staff Software Engineer, Cortex AI Search Infrastructure](https://feeny.ai/job/staff-software-engineer-cortex-ai-search-infrastructure-snowflake-menlo-park-j5d8xyax30bc) — Menlo Park, CA - [Intermediate/ Senior Software Engineer - Cortex LLM Training Platform](https://feeny.ai/job/intermediate-senior-software-engineer-cortex-llm-training-platform-snowflake-npmnzsyr6rp8) — Bellevue, WA - [Director, Global Marketing Operations](https://feeny.ai/job/director-global-marketing-operations-snowflake-menlo-park-2j23y8ca32dm) — Menlo Park, CA - [Senior/Staff System Research Engineer – LLM Inference Optimization](https://feeny.ai/job/senior-staff-system-research-engineer-llm-inference-optimization-snowflake-dwrjfex7daq2) — Bellevue, WA - [Principal Software Engineer - Performance Engineering (Cloud Infrastructure)](https://feeny.ai/job/principal-software-engineer-performance-engineering-cloud-infrastructure-hr4dbyfrgvq9) — Menlo Park, CA - [Senior Solution Engineer, Retail & Consumer Goods](https://feeny.ai/job/senior-solution-engineer-retail-consumer-goods-snowflake-chicago-3m7stm4vxfey) — Chicago, IL - [Senior Technical Program Manager - AppEx](https://feeny.ai/job/senior-technical-program-manager-appex-snowflake-menlo-park-dmn4chvwdetj) — Menlo Park, CA