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Founding ML​/AI Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Kubbly
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below
Location: New York

Why Kubbly

At Kubbly, we're changing how businesses actually talk to their customers. We built a predictive AI platform that lets brands have real conversations with people through email, text, and Whats App. Our system figures out what each person will probably want next and knows when they're most likely to care. We're not sending marketing spam, instead we're starting actual conversations. People can even finish their orders right there in the chat, which we still think is pretty wild.

We need someone who can help us scale this whole personalized engagement. If you have a knack for building systems that can predict what people want and actually care whether conversations feel real or like talking to a bot, you'll fit right in. You'd be joining at that perfect stage: proven enough that we know it works, early enough that you'll shape how it grows.

Reasons to join us:

  • The founders actually built similar stuff before. Piyush and Giorgos have previous experience building similar startups, licensing technologies to Fortune 1000 companies, and 10+ years experience building ML and recommendation systems at Amazon and Goldman Sachs.

  • We're backed by Bek Ventures (formerly Earlybird Digital East). They backed UiPath and Payhawk before they were cool. They're founder friendly, provide immense value to their portfolio companies and don't micromanage.

  • You’ll own the full pipeline, not tickets. Your code won't go through 5 layers of review. You'll have major role in deciding what to be built, how something should work, build it, ship it, and see customers use it.

  • We actually talk about technical problems. Weekly tech talks, paper discussions, post-mortems on interesting bugs. The founders are engineers first - they'll geek out with you about implementation details.

  • Competitive comp + equity.

🚀 About the role

At Kubbly, we believe AI will really change the way customer engagement works. We believe getting to know your customer is a right that not only large businesses or third-party marketplaces can afford. Everyone from medium- to small businesses to solopreneurs should be able to get to know their customers and create engaging ways to interact with them. As Founding ML Engineer you’ll be responsible for building the agentic systems and tools that would enable businesses to drive customer engagement and enable two-way conversation.

You will work alongside the founding team to drive the product roadmap, develop new features and scale the platform. You will be product- and customer-obsessed. This is a great opportunity to play a key role in the design and development of product directly used by businesses to drive customer engagement.

Our philosophy:
We operate on high conviction, low ego.
We value passionate, data-driven ideas. We debate vigorously to find the best solution, but then align as a team to execute.

We are mostly in-office from our awesome HQ in Williamsburg - 4 days per week. That’s not because we’re obsessed with processes but because we’ve seen it in our previous roles that live collaboration fosters cross-pollination and team bonding that a fully remote team cannot experience.

✅ What You’ll Do
  • This is a founding role - You get to collaborate closely with the founders to help shape the vision and product roadmap.

  • Research, architect, prototype and deploy LLM-based solutions that would expand our customer engagement engine or customer two-way communication product.

  • Stay on top of the latest developments in AI and dev tooling and find tangible ways to introduce them to our daily work.

  • Collaborate on building internal tools, datasets, and evaluation pipelines.

  • Run A/B tests and user experiments to validate hypotheses.

  • Partner with founders and fellow engineers to architect and build scalable AI solutions.

  • Create and maintain clear documentation while adhering to code best practices (git, PRs).

  • Mentor and provide guidance to the team, helping them grow their expertise in AI.

🛠️ Who You Are Soft Skills
  • Stubbornness on the vision, flexibility on the details (borrowed by Jeff Bezos 😀). This means that:

    • You are flexible and curious to learn about new things constantly.

    • You are perfectly fine to bury the hatchet for…

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