Marketing Manager

Responsibilities

• Positioning and messaging. Own Hume's platform narrative and product messaging across the full stack, from individual APIs to Kairos. Translate research and product capabilities into value propositions that resonate with distinct audiences: AI labs, voice AI application builders, and enterprise teams.
• Product launches. Plan and run launches for new products, models, benchmarks, and major features, coordinating across research, product, engineering, and sales.
• Content and thought leadership. Build a content engine that establishes Hume as the authority on emotional intelligence in AI: technical blog posts, research explainers, benchmark write-ups, case studies, and executive thought leadership for the CEO and research team.
• Demand generation. Stand up and run programs that generate qualified pipeline for enterprise and developer motions, including email, events, webinars, partner co-marketing, and paid channels where they make sense.
• Sales enablement. Arm the commercial team with pitch decks, one-pagers, competitive positioning, and customer proof points that shorten sales cycles.
• Developer and community presence. Partner with the product and DevRel efforts to grow awareness and adoption among developers building with voice AI.
• Measurement. Define and report on the metrics that matter: pipeline contribution, content performance, launch impact, and brand reach.

Requirements

• 5–8 years in B2B marketing, with significant product marketing experience at an AI, developer tools, data infrastructure, or API-first company
• Proven ability to understand deeply technical products and explain them simply without dumbing them down; you're comfortable reading a research paper and turning it into a story
• Track record of shipping launches and content that moved pipeline, not just awareness
• Experience marketing to both technical users and enterprise buyers
• Excellent writing; you'll produce much of the content yourself
• Comfort operating with high autonomy in a fast-moving, early-stage environment, and the judgment to prioritize ruthlessly

Preferred

• experience with AI/ML platforms, evaluation or MLOps tooling, or voice/speech products
• background marketing a services-to-platform transition
• existing relationships in the AI research or developer community