2 дня назад
Manager / Senior Manager, Strategic Alliances – Data & AI Platforms
140 000 - 220 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Manager / Senior Manager, Strategic Alliances – Data & AI Platforms (Snowflake/Databricks): Leading joint go-to-market strategies and partner ecosystems for C3 AI's enterprise AI platform and applications with an accent on co-selling, pipeline generation, and data-platform integrations. Focus on defining joint solutions and reference architectures, coordinating sales and engineering teams, and tracking partnership revenue and customer-win metrics.
Location: Redwood City, California, United States. U.S. work authorization is required without current or future company sponsorship. Travel to partner and customer sites may be required.
Salary: $140,000–$220,000 USD annual base pay, plus competitive compensation and equity.
Company
develops enterprise AI application software, including the C3 Agentic AI Platform, industry-specific SaaS applications, and generative AI offerings.
What you will do
- Own the end-to-end strategic alliance relationships with Snowflake and Databricks, including business plans, targets, and operating cadence.
- Build joint go-to-market and co-sell motions that generate partner-sourced and partner-influenced pipeline and revenue.
- Define joint solutions, integrations, and reference architectures combining applications with partner data platforms.
- Coordinate sales, product, engineering, marketing, operations, and partner field teams to support joint opportunities.
- Drive co-marketing programs, including events, content, and demand-generation campaigns.
- Track partnership KPIs such as sourced pipeline, influenced revenue, win rate, and joint customer wins, and report to senior leadership.
Requirements
- Bachelor’s degree in engineering, computer science, or a related technical field; an MBA is strongly preferred.
- 3–5 years of experience in management consulting, enterprise sales, business development, or partnerships, ideally with data platforms, cloud, or enterprise software.
- Hands-on fluency with data warehousing and lakehouse architectures, SQL, Spark, Delta, Iceberg, dbt, notebooks, and ML/MLOps pipelines.
- Knowledge of Snowflake and Databricks architecture, positioning, go-to-market models, cloud marketplaces, and consumption-based business models.
- Experience carrying or influencing revenue or pipeline targets and translating platform roadmaps into co-sell motions.
- Strong communication, executive presence, technical credibility, cross-functional collaboration, and adaptability in ambiguous environments.
Culture & Benefits
- Competitive compensation package.
- Generous equity plan.
- Opportunity to collaborate across sales, product, engineering, marketing, operations, and major data-platform partners.
- Travel to partner and customer sites as needed.
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