TL;DR
Senior Product Marketing Manager (AI/Data): Shaping market perception and driving product adoption for a leading analytics engineering platform with an accent on AI workflows and enterprise data use cases. Focus on developing strategic go-to-market narratives, crafting differentiated positioning, and collaborating cross-functionally to influence product strategy and growth.
Location: Must be based in the United States (Remote)
Salary: $150,000 - $200,000 USD
Company
hirify.global is the pioneer of analytics engineering, providing the industry-standard data control plane used by over 90,000 teams to transform data and support AI initiatives.
What you will do
- Drive go-to-market strategy for features positioning the platform for AI workflows and enterprise data challenges.
- Craft clear, differentiated product positioning and messaging grounded in market and customer insights.
- Collaborate with Product and Engineering teams to influence the product roadmap using competitive and market context.
- Develop and maintain a core bill of materials including sales playbooks, pitch decks, and solution briefs.
- Execute product launches and marketing campaigns that drive pipeline growth for net-new and expansion opportunities.
- Measure campaign effectiveness and utilize data-driven insights to iterate on marketing strategies.
Requirements
- 4+ years of experience in product marketing, preferably within the data analytics domain.
- Proven track record of executing successful B2B software marketing campaigns.
- Deep understanding of the data analytics industry and ability to translate complex concepts into clear narratives.
- Strong cross-functional leadership skills with experience working across marketing, product, and sales teams.
- Analytical mindset with the ability to use data to inform strategic decision-making.
- Excellent verbal and written communication skills with a passion for storytelling.
Nice to have
- Prior experience at a data analytics, AI, or open source software company.
- Familiarity with the modern analytics stack.
- Experience as a practitioner (data analyst, data engineer, or data scientist) using the platform.
Culture & Benefits
- Unlimited vacation policy.
- 401k and Pension Plan offerings.
- 16 weeks of Paid Parental Leave.
- Wellness and home office stipends.
- Inclusive, values-driven environment with a focus on diversity and professional growth.
Hiring process
- Talent Acquisition interview followed by a Hiring Manager interview.
- Team-specific interviews.
- Final round values-based assessment.
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