Associate Product Marketing Manager - AI - Redis
Denver, CO
About the Job
Who we are
We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you're welcome.) At Redis, you'll work with the fastest, simplest technology in the business—whether you're building it, telling its story, or selling it to our 10,000+ worldwide customers. We're creating a faster world with simpler experiences. You in?
Why would you love this job?
Join a fast-growing organization that's at the forefront of real-time data and AI, and help bring to market cutting-edge capabilities for GenAI. You get opportunities for professional development and to work with a talented team that's distributed across the globe.
What you'll do:
- Positioning and messaging: Develop compelling messaging and positioning for AI products that resonate with technical and business audiences. Articulate the unique value Redis provides for AI-powered apps.
- Content development: Create a variety of assets to tell Redis's AI story, including whitepapers, case studies, solution briefs, blog posts, and webinars. Drive content that engages both technical and non-technical audiences.
- Go-to-market (GTM) strategy: Help lead the GTM strategy for Redis's AI solutions, including planning product launches, coordinating cross-functional teams, and identifying the target audience segments.
- Sales enablement: Develop and deliver training materials, presentations, and collateral to support the sales team in communicating Redis' value proposition effectively.
- Customer insights and market research: Gather market intelligence, conduct customer research, and analyze the competitive landscape to refine product positioning and identify growth opportunities.
What will you need to have?
- Experience: 2-3 years of product marketing experience, preferably in AI, machine learning, data platforms, or enterprise software.
- Technical Acumen: You have a strong understanding of AI/ML concepts and can communicate technical topics to both technical and non-technical audiences.
- Storytelling Skills: You excel at translating complex technical concepts into compelling, easy-to-understand narratives.
- Customer Focus: You have a customer-centric mindset and enjoy diving into their challenges and opportunities.
- Collaboration: You're a team player who enjoys working cross-functionally and can manage multiple stakeholders effectively.
Extra great if you have:
- Experience: 2+ years at a company that specializes in databases or artificial intelligence.
- Technical Acumen: You have a working knowledge of building and deploying AI apps in enterprises and can show and build technical demos.
We give back to our employees:
Our culture is what makes Redis a fun and rewarding place to work. To support you at work and beyond, we offer all our US team members fantastic benefits and perks:
- Competitive salaries and equity grants
- Unlimited time off to promote a healthy work-life balance
- H/D/V coverage along with 401K, FSA, and commuter benefits
- Frequent team celebrations and recreation events
- Home internet & phone stipend
- Learning and development opportunities
- Ability to influence a high-performance company on its way to IPO
The estimated gross base annual salary range for this role is $92,937 – $125,952 per year in New York, California, Washington, Colorado, and Rhode Island. Actual compensation may vary and is dependent on various factors, including a candidate's work location, qualifications, experience, and competencies. Base annual salary is one component of Redis' total compensation and competitive benefits package, which may include 401(k), unlimited time off, learning and development opportunities, and comprehensive health and wellness benefits. This role may include discretionary bonuses, stock options, commuter benefits based on location, or a commission plan. Salary history is not used in compensation package decisions. Redis utilizes market pay data to determine compensation, so posted compensation ranges are subject to change as new market data becomes available.
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