Senior Manager, Customer Marketing

Accountabilities: 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. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? 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