Founding CTO – AI/ML, Data Product

🕒 May 30

🌏 Anywhere in the World

⏳ Contract/Temporary

🟠 Senior

🔴 Lead

✅ Product Manager

👻 Ghost score 45%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 164 days.
• Jobs at this company usually fill in 21 days.
• No salary listed.

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Startup Wise Guys

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2012

💼 Consulting

📣 Marketing

📦 Logistics

💰 Funding Round on 2019-01

Consulting • Marketing • Logistics

Startup Wise Guys is a global venture capital fund and startup accelerator based in Estonia, supporting early-stage B2B startups. They run various programs to help startups at different growth stages, including building, growing, and scaling, while focusing on key verticals such as Cybersecurity, Fintech, and SaaS. With an extensive international network, they have successfully accelerated hundreds of startups and facilitated significant exits over the years.

📋 Description

• Validate a B2B problem where AI creates measurable value (time, cost, risk) • Define MVP that’s product-first (not “cool model-first”) • Design the data approach (collection, labeling, evaluation, monitoring) • Ship a reliable prototype/MVP (APIs, pipelines, guardrails, feedback loops) • Craft investor-ready tech narrative (moat, data advantage, roadmap)

🎯 Requirements

• 7+ years in software engineering with strong AI/ML or data product exposure • Experience shipping to production (MLOps basics, monitoring, reliability) • Strong product instinct: clarity on what “good enough” looks like for an MVP • Founder mindset; you want ownership and upside, not a service role

🏖️ Benefits

• 12-week sprint to go from insight → MVP → iteration • Weekly accountability + execution cadence ( ~10–12h/week ) • 500+ mentors including B2B, product, GTM, fundraising specialists • 440+ alumni startups / 40+ countries for learning + intros • CTO toolkit for AI ventures: scope, evaluation, deployment, “moat” story

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