13 часов назад
Manager / Senior Manager, Strategic Alliances – Data & AI Platforms
140 000 - 220 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Manager / Senior Manager, Strategic Alliances – Data & AI Platforms (Snowflake, Databricks): Leading strategic partnerships with data and AI platform providers, developing joint solutions, and driving partner-sourced and partner-influenced revenue with an accent on joint go-to-market strategy, co-selling, and enterprise data architecture. Focus on building reference architectures, coordinating sales and engineering enablement, and measuring pipeline, revenue, win rates, and customer outcomes.
Location: Redwood City, California, United States. Candidates must be authorized to work in the United States without current or future company sponsorship.
Salary: $140,000–$220,000 USD annually, plus equity.
Company
C3 AI is an enterprise AI application software company providing an agentic AI platform, industry-specific SaaS applications, and generative AI solutions.
What you will do
- Own the end-to-end strategic alliance relationships with Snowflake and Databricks, including joint business plans, targets, and operating cadence.
- Build and execute 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 C3 AI applications with partner data platforms.
- Coordinate sales, product, engineering, marketing, operations, and partner field-engineering teams.
- Drive joint 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.
- Hands-on fluency with data warehousing, lakehouse architectures, SQL, Spark, Delta, Iceberg, dbt, notebooks, and ML/MLOps pipelines.
- Working knowledge of Snowflake and Databricks architecture, positioning, go-to-market, consumption-based models, and AWS, Azure, and GCP marketplace motions.
- Experience carrying or influencing revenue or pipeline targets and translating platform roadmaps into joint go-to-market and co-sell motions.
- Strong communication, executive presence, cross-functional collaboration, and willingness to travel to partner and customer sites as needed.
Culture & Benefits
- Competitive compensation package with a generous equity plan.
- Company benefits package.
- Equal opportunity and affirmative action workplace.
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