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13 часов назад

Manager / Senior Manager, Strategic Alliances – Data & AI Platforms

140 000 - 220 000$
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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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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