13 дней назад
Senior Technical Product Marketing Manager (AI)
166 176 - 207 720$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Technical Product Marketing Manager (AI/data infrastructure): Building technical messaging, collateral, demos, and thought leadership for Fivetran’s data integration and modern data infrastructure platform with an accent on data engineering, cloud data platforms, and customer adoption. Focus on translating complex technical capabilities into clear positioning, validating reference architectures, and collaborating across product, marketing, sales, enablement, and partner teams.
Location: Hybrid role based in Denver, Colorado, or Oakland, California, United States
Salary: $166,176–$207,719.75 USD per year
Company
provides automated data movement across systems, clouds, data warehouses, engines, and analytics tools. and dbt Labs are combining their data infrastructure and analytics engineering capabilities to help organizations build trusted foundations for analytics and AI.
What you will do
- Create technical collateral including architecture diagrams, demos, white papers, blogs, pitch decks, technical guides, case studies, and demo videos.
- Develop product narratives, positioning, messaging, and thought leadership for technical audiences.
- Research market trends, customer needs, competitive dynamics, product capabilities, and data use cases.
- Partner with Product Management, GTM marketing, demand generation, sales, enablement, customer success, and executive teams on launches, campaigns, webinars, events, and sales plays.
- Showcase integrations and ecosystem partnerships through joint webinars, workshops, and hands-on labs.
- Represent the platform in events, presentations, analyst relations, strategic conversations, and customer engagements while providing technical validation and reference architectures.
Requirements
- 2–4 years of experience in product marketing, data engineering, product management, sales engineering, and/or data and analytics consulting.
- Experience with data engineering, data integration, databases, data warehouses, data lakes, cloud data platforms, and related technologies.
- Knowledge of or experience with SQL, dbt, Python, and Spark.
- Ability to collaborate across Product, Sales, Marketing, and Enablement teams and manage multiple initiatives.
- Strong verbal, written, in-person, and virtual communication skills for different technical audiences.
- Understanding of the needs of data engineers, data scientists, data architects, and other technical stakeholders.
Nice to have
- Experience with modern data infrastructure, AI, deployment models, governance, and cloud destinations.
- Experience creating technical reference architectures, conducting hands-on labs, and supporting sales cycles.
Culture & Benefits
- 100% employer-paid medical insurance, subject to country and worker type.
- Paid time off, paid sick time, parental leave, holidays, a year-end Global Week of Rest, and volunteer days.
- RSU stock grants and professional development and training opportunities.
- Monthly cell phone stipend and mental health support for covered employees and dependents.
- Virtual social events, free food, and team-building activities.
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