Customer Marketing Manager
Owns end-to-end customer storytelling for AI agent platform, sourcing stories from technical customers, producing case studies/videos/talks, building advocacy programs, and driving pipeline/revenue impact. Requires 4-6+ years in customer marketing and comfort with engineer audiences.
Responsibilities
- Own the customer story pipeline end-to-end: source customers, run interviews, draft narratives, and ship in formats like written case studies, videos, executive spotlights, conference talks, and podcasts.
- Build reference and advocacy programs to equip sales with relevant references and provide customers paths to speak, write, and represent LangChain.
- Activate customers for key moments: product launches, events, analyst briefings, keynote stages, and press.
- Turn customer stories into pipeline via talk tracks, account-specific references, customer-led webinars, and proof points.
- Partner with field and community marketing on customer events like founder dinners, roundtables, executive meetups, and workshops.
- Build voice-of-customer feedback loop, synthesizing insights for product, PMM, and comms.
- Measure impact: customer-influenced pipeline, references delivered, stories produced, advocacy participation.
Requirements
- 4-6+ years in customer marketing, product marketing, or customer-led content marketing, owning end-to-end customer story motion.
- Experience building or rebuilding reference, advocacy, or customer-champion programs that sales uses.
- Strong writing skills to turn technical interviews into compelling stories for technical buyers and executives.
- Comfort with technical customers (engineers, AI/ML teams); ability to discuss agent architectures, evals, deployment patterns.
- Bias toward shipping quickly with quality; curiosity about customer agent builds.
- Strong cross-functional partner (sales, PMM, comms, product, CS).
- Use of AI tools in workflow.
Nice to Haves
- Experience marketing developer tools, AI/ML infrastructure to technical audiences.
- Launch motions including early access, beta cohorts.
- Multi-format production: video, podcasts, conference coaching.
- Familiarity with LLM/agent developer ecosystem.
- Experience with startup and enterprise segments.
Compensation
- Annual salary: $160,000 - $180,000 + equity
- Benefits: medical, dental, vision, flexible vacation, 401(k), meals on in-office days
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