Maja Hamberg.
Head of Marketing · Sixfold
Maja Hamberg is the Head of Marketing at Sixfold. She is based in New York and has previously worked at Blue Seedling, Cult Wines, and PENSA, focusing on developing marketing strategies, conducting market research, and creating marketing materials. Maja has a strong educational background with a Master's in Business Administration and Organizational Management, as well as a Bachelor's degree in International Business Administration from Vrije Universiteit Amsterdam. Maja's background includes a Master's degree in Business Administration and Organizational Management, as well as a Bachelor's degree in International Business Administration.
Guest
Maja Hamberg
Head of Marketing
Company:
Sixfold
Location:
Brooklyn, New York, United States
Loading episode...
Listen onApple PodcastsSpotify

In this episode of Marketing Front Lines, we speak with Maja Hamberg, Head of Marketing at Sixfold. Sixfold builds AI solutions for insurance underwriters, automating the manual document review process that slows down insurance applications. Operating in a market where buyers are still figuring out how to purchase AI solutions, Maja has developed a marketing playbook focused on radical simplicity, quality over quantity, and showing rather than telling. Her approach centers on two core channels - high-quality content and curated in-person events - while abandoning traditional B2B tactics like fancy email designs and social media breadth for authentic, human-centered marketing.

Topics Discussed:

Six takeaways from this conversation.

Actionable for Insurtech founders

  1. Focus on Two Channels and Execute Them Exceptionally
    Rather than spreading resources across multiple marketing channels, Sixfold concentrates on content marketing and events, ensuring both reach exceptional quality standards. This means taking an extra month to perfect a blog post or report, and carefully curating guest lists and entertainment for events. The depth-over-breadth approach allows small marketing teams to compete with larger organizations by delivering superior experiences in focused areas.
  2. Replace Complex Messaging with Human Simplicity
    In AI marketing, avoid technical jargon and inflated claims like "100x efficiency gains" that prospects can't relate to or verify. Test all messaging with outsiders - friends, colleagues, or customers - asking specifically whether they understand what you do and who you serve. If the explanation requires additional context, simplify further. The goal is immediate comprehension, not impressive vocabulary.
  3. Design Events for Relationship Building, Not Lead Generation
    Structure dinner events around 12 people maximum to enable meaningful conversations, and carefully consider seating arrangements to connect attendees who should know each other. For larger happy hours (up to 200 people), maintain a strategic mix of partners, customers, and prospects rather than filling rooms with vendors. Skip presentations entirely - instead, introduce relevant industry topics as conversation starters and let organic discussions develop.
  4. Abandon Designed Emails for Authentic Communication
    Plain-text emails that sound like personal correspondence significantly outperform designed marketing emails in B2B contexts. Recipients are more likely to reply to messages that feel genuine, even when they recognize them as part of marketing campaigns. This shift requires letting go of design investments but delivers measurably better engagement and response rates.
  5. Show Your Product Instead of Describing It
    For technical products, especially AI solutions, demonstrations generate stronger reactions than explanations. Invest in video content, website product tours, and live demonstrations during sales conversations. The difference in prospect reaction between showing and telling is dramatic - "wow" versus "interesting" - making this approach essential for overcoming AI buzzword fatigue.
  6. Structure Product Marketing Onboarding Around Technical Depth
    When hiring product marketers for technical AI products, plan extensive product team collaboration in the first 90 days. The complexity of AI solutions requires deep technical understanding before effective messaging can develop. This investment in technical education pays dividends in more credible positioning and competitive differentiation.