10 часов назад
Product Alliance Director, Technology Partnerships (Snowflake)
211 000 - 225 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Alliance Director, Technology Partnerships (Snowflake, Databricks, Google BigQuery): Owning strategic technology partnerships, joint product roadmaps, integrations, and co-sell programs across major cloud data platforms with an accent on data architecture, AI/ML pipelines, and revenue enablement. Focus on evaluating integration opportunities, shaping partner ecosystems, and translating technical differentiation into measurable pipeline and adoption.
Location: Hybrid, working from the Mountain View, California or New York, New York office; on-site in Mountain View during the first work week of each month and three days per week in the office thereafter. Travel may reach 50% to visit clients.
Salary: $211,000–$225,000 per year
Company
provides an agentic experience platform that uses AI to help marketing and data teams acquire, retain, and grow customers through continuous, context-driven action.
What you will do
- Own product relationships with Snowflake, Databricks, Google BigQuery, and other strategic data platform partners.
- Manage joint product roadmaps, integration backlogs, marketplace listings, co-sell agreements, and partnership tiers.
- Lead architecture discussions covering data ingestion, query federation, identity resolution, and AI/ML pipelines.
- Evaluate integration opportunities, write functional specifications, and assess partner roadmap impact on product strategy.
- Collaborate with Sales and Solutions Engineering to identify target accounts, expansion opportunities, and revenue leverage.
- Create joint solution briefs, sales plays, demos, competitive assets, and partnership KPI reporting.
Requirements
- 7+ years of experience in product management, technical partnerships, or solutions engineering, ideally in B2B SaaS or data/AI.
- Experience with Snowflake, Databricks, Google BigQuery, or comparable cloud data platforms.
- Strong understanding of data architecture, APIs, identity graphs, and AI/ML pipelines.
- Experience building joint business cases, co-sell motions, or partner go-to-market programs that influenced revenue.
- Daily use of AI tools and the ability to prototype, draft, and iterate with LLM-based tooling.
- Exceptional communication, independence, and the ability to work with architects, executives, Sales, Solutions Engineering, and Product.
Nice to have
- Experience in a CDP, customer data platform, or marketing technology company.
- Familiarity with data clean rooms, zero-copy architectures, or composable CDP patterns.
- Experience with Snowflake Native Apps, Databricks Marketplace listings, or Google Cloud Partner Advantage programs.
- Background in solutions consulting or pre-sales technical roles.
Culture & Benefits
- AI-first product development focused on customer intelligence and autonomous marketing execution.
- Flexible Time Off and up to 26 weeks of paid parental leave.
- Medical, dental, vision, life, short-term disability, and long-term disability coverage.
- 401(k) retirement plan with a 4% company match and Restricted Stock Units.
- Inclusive culture emphasizing ownership, initiative, diverse perspectives, and continuous improvement.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →