Responsibilities:

• Create technical content and adoption assets: Build clear, accurate documentation, quickstarts, tutorials, code samples, demos, and reference applications for developers and data practitioners.
• Turn complex AI, data, and application-development concepts into approachable, practical learning experiences.
• Contribute reusable patterns, templates, and playbooks that help builders move from first use to production.
• Support launches and developer programs: Help prepare priority AI and developer products for launch by testing developer journeys, identifying friction, and creating day-one enablement assets.
• Design and deliver workshops, hackathons, talks, and hands-on labs for customers, partners, students, and developer communities.
• Work with field and go-to-market teams on customer-ready demos, solution briefs, presentations, and technical walkthroughs.
• Connect developers and product teams: Gather feedback from community, customers, field teams, support, documentation, and product usage, then synthesize it into clear developer insights.
• Partner with Product and Engineering to improve onboarding, documentation, samples, APIs, tools, and the overall developer experience.
• Use qualitative feedback and adoption metrics to evaluate your work and improve content and programs over time.
• Represent Snowflake in the developer ecosystem: Participate authentically in developer, data, AI, and open-source communities through events, forums, technical content, and contributions.
• Build relationships with practitioners, learn where they get stuck, and help them succeed with Snowflake and the broader ecosystem.
• Share emerging developer needs, tools, and practices with internal teams.

Requirements:

• Completion of a Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, Data Science, Human-Computer Interaction, or a related technical field, or equivalent practical experience.
• A strong technical foundation and experience building software products demonstrated through prior roles, internships, coursework, open-source contributions, or substantial personal projects.
• Hands-on experience with developer tools, APIs, SDKs, CLI tools, source control, CI/CD etc.
• Familiarity with modern AI development, including prompting, grounding, evaluation, RAG, agents, tool calling, or LLM APIs.
• Excellent written and verbal communication, with the ability to explain technical concepts through clear narratives, examples, and presentations.
• Comfort presenting and facilitating technical sessions for groups with different levels of experience.
• A bias for action and ownership: you can structure ambiguous problems, learn quickly, seek feedback, and iterate.
• Strong collaboration skills and experience working across technical and non-technical teams through school, internships, community work, or prior roles.

Nice to Have:

• Internship, co-op, or project experience as a software, data, ML/AI, or solutions engineer.
• Experience with Snowflake or another cloud data platform.
• Understanding of data and analytics workflows such as SQL, ELT/ETL, notebooks, dbt, data science, or application development.
• Contributions to open-source projects, technical blogs, documentation, videos, or developer communities.
• Experience organizing hackathons, meetups, workshops, student clubs, or other technical community programs.
• Experience measuring content, community, or product adoption using quantitative and qualitative signals.

What We Offer:

• Help shape how developers and data teams build with AI at a strategic moment for Snowflake.
• Create high-impact developer experiences used by customers and practitioners around the world.
• Learn from experienced advocates, product managers, engineers, and AI practitioners while owning meaningful work from day one.
• Be part of a culture that values thoughtful craftsmanship, velocity, collaboration, and customer obsession.

Job Data by YubHub.

Snowflake, the company that delivers the Data Cloud to Mobilize the World's Data, is actively seeking a Manager, Sales Engineering Enablement Business Partners. In this leadership role, you will lead, coach, and grow a team of three Sales Engineering Enablement Business Partners who serve as the voice of enablement across regional and specialized technical segments worldwide.

In this role, you will:

• Lead, mentor, and inspire a team of Sales Engineering Enablement Business Partners, each embedded within a regional or specialized segment, ensuring they are positioned as trusted extensions of their respective SE leadership teams.
• Partner with senior Sales Engineering executives and cross-functional leadership to define the overarching technical enablement charter, strategic priorities, and regional delivery models.
• Establish clear operating mechanisms for intake, prioritization, and resource allocation so your Business Partners can effectively manage competing regional and global enablement demands.
• Drive operational excellence across the team in designing, localizing, and delivering segment-specific enablement assets, technical curriculums, hands-on workshops, Sales Kickoff sessions, and continuous learning programs.
• Ensure your team coordinates and delivers seamless ongoing enablement activities, and field communication campaigns in alignment with the global enablement plan.
• Champion rigorous metrics and business impact measurement, tracking enablement effectiveness and field readiness across all segments your team supports.
• Foster tight alignment between Enablement, Product Management, Product Marketing, and Solutions Architecture to ensure the technical field stays ahead of product releases and industry trends.
• Guide your team in standardizing best practices, scalable frameworks, and asset sharing across theaters to maximize velocity and consistency while honoring regional nuances and localization needs.
• Act as an executive sponsor and escalation point for critical enablement initiatives, regional escalations, and executive stakeholder alignment.
• Cultivate an inclusive, collaborative, and high-trust culture centered on continuous growth, domain mastery, and empathy for the technical field.

Required Skills:

• 8+ years of relevant experience in sales engineering, technical enablement, solutions architecture, or technical consulting within high-growth enterprise SaaS companies, with a deep understanding of the data analytics ecosystem.
• 3+ years of direct people management experience leading technical enablement specialists, sales engineers, or technical business partners.
• Deep understanding of the data cloud, modern analytics ecosystems, enterprise architectures, and complex technical sales cycles, processes, and methodologies.
• Proven track record of designing, executing, and scaling enablement programs that demonstrably accelerate technical ramp and win rates.
• Exceptional executive presence and relationship-building skills, with demonstrated success influencing senior sales, engineering, and product leadership.
• Strong strategic thinking, operational discipline, and analytical problem-solving skills to manage global resource allocation and measure business impact.
• Ability to thrive, provide clarity, and drive execution in a fast-paced, dynamic environment.
• Bachelor's degree in Computer Science, Engineering, Business, or equivalent practical experience.
• Ability to travel periodically as required.

Job Data by YubHub.