Senior Manager, Customer Marketing

Customer Advocacy

• Build an engaging customer advocacy program for technical practitioners, engineers, machine learning leaders, and executives.

• Identify, recognize, and develop customer champions through collaboration with Sales, Developer Relations, and product usage insights.

• Create meaningful advocacy opportunities, including speaking engagements, social posts, office hours, early product access, and opportunities to influence product direction.

• Establish clear expectations and reciprocal value so customers benefit from participating.

• References and Peer-to-Peer Engagement

  • Develop a structured customer reference program that supports complex enterprise sales opportunities.

  • Match references to prospects by industry, company size, use case, and technical requirements, while managing fair rotation and avoiding advocate fatigue.

  • Recruit and maintain relationships with executive advocates, including CIOs, CTOs, and heads of AI and engineering, who can speak to scale, security, reliability, and procurement.

  • Coordinate executive reference calls, customer site visits, reference dinners, and other peer-to-peer opportunities for late-stage deals.

  • Provide customer references for analyst evaluations and establish a consistent customer review program across G2 and other peer review platforms.

  • Customer Stories and Content

    • Develop compelling customer stories in customers' own voices, including technical case studies supported by measurable outcomes such as latency, throughput, and cost per token.

    • Translate technical achievements into clear business value for executive audiences and enterprise decision-makers.

    • Build an organized library of customer stories by industry and use case for use across websites, sales presentations, account-based campaigns, product launches, and analyst briefings.

    • Determine the most effective storytelling format for each opportunity, including written content, video, benchmarks, and short customer testimonials.

    • Customer Recognition and Co-Marketing

      • Showcase customer achievements and the teams behind them across relevant marketing channels.

      • Develop joint announcements, co-branded content, and webinars that create value for both customers and the business.

      • Nominate customers and their leaders for industry awards, conference speaking opportunities, and other visibility initiatives.

      • Help customer executives and technical leaders build their profiles as influential voices in AI.

      • Advocacy and Business Expansion

        • Equip internal customer champions with shareable results, recognition, and executive visibility to support advocacy within their organizations.

        • Partner with Sales and Customer Success to bring customer proof into expansion opportunities, including references for new business units and stories from comparable workloads.

        • Create opportunities for customers to exchange knowledge through roundtables, user groups, and customer-led sessions.

        • Feature customers at company events, partner events, and industry conferences, and organize executive dinners that enable meaningful prospect engagement.

        • Measure program effectiveness and refine priorities based on customer participation and commercial impact.

        Requirements

        • At least 7 years of experience in B2B marketing, including 4 or more years leading customer marketing, customer advocacy, or reference programs at a SaaS, cloud, data, or developer-tools company.

        • Demonstrated experience building a customer advocacy program from the ground up and creating participation opportunities that customers genuinely value.

        • Experience managing advocacy and reference programs for large, global enterprise customers with complex sales cycles, multiple stakeholders, security reviews, and procurement processes.

        • Proven ability to recruit, engage, and maintain long-term relationships with senior executives, including CIOs and CTOs.

        • Experience securing customer story approvals within large organizations, navigating legal, public relations, and brand review processes while preserving the authenticity and impact of the story.

        • Credibility with technical audiences and the ability to interview engineers and machine learning practitioners about topics such as latency, fine-tuning, and infrastructure performance, translating technical detail into accurate, accessible content.

        • Track record of producing customer proof that contributes to enterprise deal acquisition and expansion, supported by measurable business results.

        • Strong cross-functional partnership skills, particularly with Sales, Product Marketing, and Customer Success, including the ability to gain customer access while protecting established relationships.

        • Excellent writing, editing, storytelling, and communication skills, with sound judgment in selecting appropriate content formats.

        • Ability to work independently, establish priorities, and adapt programs in a fast-paced, evolving business environment.

        Preferred Qualifications

        • Experience in AI, machine learning infrastructure, data platforms, or cloud infrastructure.

        • Experience building or managing developer communities, customer champion networks, or MVP-style advocacy programs.

        • Experience launching and managing a Customer Advisory Board with enterprise executives.

        • Experience providing customer references for analyst evaluations.

        • Familiarity with customer advocacy and reference platforms such as Influitive, UserEvidence, SlapFive, or Champion.

        • Experience with CRM tools such as Salesforce or HubSpot.

        • Video production or podcast development experience.

        • Previous experience hiring and managing a small team.

        Benefits

        • Annual compensation range of $200,000–$230,000 USD.

        • Fully remote work arrangement within the United States.

        • Opportunity to build and lead a new customer marketing function with significant ownership.

        • Exposure to advanced AI infrastructure, including low-latency inference and scalable model serving.

        • Opportunity to work with leading engineers and AI researchers on technology used by businesses and developers worldwide.

        • Collaborative, fast-growing environment that encourages innovation, curiosity, and direct impact.

        • Equal-opportunity workplace committed to diversity and inclusion.