35: The Shocking Truth About Gender Bias in AI Products (with Camila Buenamar)

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THE GUEST

Camila Buenamar is a senior product leader and the founder of Productesas, a fast-growing community empowering Latinas in tech. With a strong track record of leading FinTech, AI, and marketplace products across the U.S. and Latin America, Camila brings deep expertise in building B2B platforms, scaling AI-powered solutions, and mentoring emerging product talent. Her experience includes key roles at RoadSync and Whale and Jaguar, where she developed innovative solutions using natural language processing, optical character recognition, and computer vision. A Stanford Innovation Fellow and General Assembly alum, Camila is driven by a passion for blending technology, inclusion, and strategic thinking to create meaningful global impact.

THE SUMMARY

Inclusion is the Infrastructure of AI: Camila lays out how lack of diversity in AI teams leads to products that ignore half the population. From voice assistants that don't understand women to Apple Watch missing menstrual tracking at launch, this is a wake-up call: if your dataset isn’t inclusive, your product is broken before it ships.

Freight Tech Gets an AI Upgrade: Camila’s work at TIE shows that even traditional, masculine-coded industries like freight brokerage can be transformed by AI. Tools like OCR, gen AI email generation, and intelligent document parsing aren’t futuristic—they’re already making brokers’ lives easier today.

You Don’t Need a PhD to Work in AI: No CS degree? No problem. Camila went from business school in Colombia to AI product roles in the US by staying relentlessly curious, taking online courses (shoutout Andrew Ng), and just jumping in. Her advice: start by using ChatGPT daily, then master prompting.

Deck of Cards → Global Community: What began as a pink, emoji-filled MVP for Latina product managers became Product Desas—a thriving, AI-powered community across Latin America. Camila proves that testing small, automating early, and solving real gaps (like lack of Spanish-language resources) beats perfection every time.

Build Less, Think More: Camila’s key lesson from the AI Career Bootcamp? Don’t rush to build. AI tools are powerful—but that means your mistakes scale, too. Before diving in, step back: assess the risks, define success, and make sure the thing you’re building actually matters.

THE SHOW

Weekly conversations with the AI’s top product leaders. Join Polly Allen as she discovers the paths to success in the world of AI.

THE LINKS

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Camila Buenamar

LinkedIn: https://www.linkedin.com/in/camilabuenamar/

My links

LinkedIn: ⁠https://www.linkedin.com/in/pollymallen/⁠ 

AI Career Boost: ⁠https://www.aicareerboost.com/⁠