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Описание вакансии
Текст:
TL;DR
Enablement Business Partner (AI/Data): Designing and scaling technical enablement programs for Solution Engineering teams with an accent on enterprise software, data technologies, and AI-supported learning. Focus on diagnosing capability gaps, building targeted activation experiences, translating business needs into technical content, and measuring behavior change across the field.
Location: On-site in Sydney, Australia
Company
Snowflake provides a cloud data platform and is developing AI-native ways of working across the enterprise.
What you will do
- Partner strategically with Solution Engineering leadership to identify capability gaps linked to business outcomes.
- Diagnose field needs using Gong, Salesforce, theater-level data, leadership discussions, product roadmaps, and other business signals.
- Design and build activation experiences, including hands-on labs, self-service learning, AI skills, peer learning, and coaching interventions.
- Curate and quality-gate enablement content, validate AI-generated outputs, and maintain authoritative product and theater knowledge.
- Connect Product, Field, Leadership, and Learners while aligning enablement activities with release cadence.
- Scale effective local enablement practices across the wider field and refine the global everboarding program.
Requirements
- At least 10 years of related experience in enterprise software, Solution Engineering, and enablement in the data space.
- Bachelor’s degree.
- Deep technical expertise in OLAP/OLTP databases, SQL, and/or Python.
- Experience designing, building, and delivering enablement programs.
- Strong business, technical, and sales acumen with excellent communication and presentation skills.
- Ability to lead through influence, manage competing priorities, and secure support from cross-functional stakeholders.
Nice to have
- Snowflake experience or SnowPro Core or SnowPro Advanced certification.
- Data science or Spark experience.
Culture & Benefits
- Experimental, fast-moving environment focused on testing emerging AI capabilities.
- Low-ego, collaborative culture that values strategic thinking, agility, resourcefulness, and results.
- Responsibility for following confidentiality and data security standards when handling sensitive customer information.
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