Responsibilities
- Produce high-impact, customer-driven content across formats — video case studies, written success stories, social proof, and customer spotlights.
- Interview customers and translate technical wins into narratives that resonate with AI engineers and executive buyers alike.
- Build a library of proof points that sales, demand gen, and product can pull from.
- Own and scale Arize’s customer reference program end-to-end — identifying advocates, managing relationships, and matching the right reference to the right opportunity.
- Partner with Sales to ensure reference coverage across segments, use cases, and industries.
- Secure and prepare customer speakers for Arize events, webinars, conferences, and developer workshops.
- Support customer-facing events including meetups, workshops, and roundtables — from logistics to content.
- Build and run programs like the Customer Advisory Board and power user groups that create tight feedback loops between customers and our product and GTM teams.
- Partner with Customer Success to amplify educational resources, best practices, and product adoption milestones.
- Develop and execute campaigns that drive product adoption, increase engagement, and create upsell and expansion opportunities.
- Work cross-functionally with CS, Sales, and Product to identify expansion signals and turn them into pipeline.
Requirements
- 5+ years of experience in customer marketing, product marketing, or a closely related field — ideally at a developer tools, data infrastructure, or AI/ML company.
- Proven ability to identify customer stories and turn them into compelling content — you know how to find the narrative in a technical win.
- Experience running reference or advocacy programs and building scalable processes around them.
- Strong cross-functional collaborator — you’ve worked closely with Sales and Customer Success and understand how to support pipeline goals without losing the customer-first lens.
- Excellent written communication; comfortable writing for technical audiences without losing the thread for business stakeholders.
- Event and program management experience — you can run a webinar, coordinate a roundtable, and manage a speaker from ask to stage.
- Actively using AI in your day-to-day work — not just aware of it. You’re experimenting with AI tools to move faster, think more creatively, and do work that would have taken a team to do solo.
Nice to Have
- Background in or strong familiarity with AI/ML, LLMs, or data infrastructure.
- Experience with developer communities or open-source ecosystems.
- Familiarity with tools like Salesforce, HubSpot, or similar CRM/marketing automation platforms.
- Previous experience building CAB programs or structured executive engagement programs.
Team
Team size: lean team. Structure: high-visibility, high-ownership role