Product Marketing Manager, Data Science & Data Engineering
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Full-time
Galvanize is building out a product marketing team to support our rapid growth. The PMM will drive awareness and lead acquisition for offerings in data science and data engineering. We are looking marketers with a proven ability to deliver results in an entrepreneurial environment.Person must be a team player and able to influence at all levels within the organization. The successful candidate has experience launching initiatives across multiple local markets.
What You'll Do
- Become an expert and stay up-to-date in your vertical(s): know the target customer, their needs, technology trends and the competitive landscape
- Develop positioning and messaging for products in the data science and data engineering verticals (workshops, part-time, immersive courses)
- Own go-to-market strategy for products: collaborate cross-functionally to rollout in local markets and support ongoing releases
- Drive marketing collateral development; partner with the brand experience team to ensure messaging consistency across all consumer touch-points
- Work with Galvanize faculty, evangelists and external partners to Galvanize to drive awareness through non-traditional channels (e.g. conferences, speaking engagements, co-promotions)
- Gather customer insights and influence key product decisions (eg pricing, packaging, topics)
- Collaborate with marketing teams to improve the lead acquisition funnel (events, website, emails, paid acquisition)
- 2-4 years product marketing experience at a B2C or B2B company (SaaS experience preferred)
- Exceptional written communication & presentation skills
- Affinity for data analytics, data science, data engineering, and/or education
- Analytical thinker with experience in data-driven marketing
- Outstanding follow-through, time management, and project management skills
- Strong interpersonal skills with the ability to collaborate cross-functionally
- Customer-focused
Bonus
- Knowledge of Google Apps (Gmail, Docs, Sheets, Slides, Drive, etc.)
- Experience with an agile project management philosophy / methodology
- Basic familiarity with data science terminology (i.e. the common algorithms, frameworks, companies, etc.)
- Knowledge of the data science and data engineering educational landscape (online, in person,hybrid)
- Experience programming
Galvanize provides equal employment opportunities (EEO) to all employees and applicants for employment. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.
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