Location
New York, NY
Contract
Full-time
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Engineering & Product

Senior Software Engineer, Platform

Senior Software Engineer, Platform

Remote
Full-time

About Yogi

At Yogi, we help some of the most recognizable brands in the world create better products and user experiences by providing deep insight into customer feedback via Yogi's Voice of Customer AI Analyst.

Our customers span industries such as consumer electronics (Microsoft), food and beverage (Nestlé), personal care (Colgate), pet care (Purina), and more. Each one leverages the unique competitive intelligence surfaced by Yogi to make high-impact decisions that drive real business results.

We aggregate and analyze millions of consumer feedback records from product reviews, social conversations, consumer care data, and more, powered by Generative AI and agentic workflows. Yogi automatically interprets the content of consumer posts at scale, uncovering nuanced patterns and themes previously hidden in consumer feedback. These insights help brands identify emerging trends, fine-tune product strategies, and optimize performance across retail channels.

Our intuitive AI-native platform transforms this intelligence into actionable dashboards for product researchers, insights teams, and marketing leaders, making the voice of the customer more accessible and powerful than ever before.

About the Role

We're looking for an experienced software engineer to join the talented and ambitious folks on Yogi's Platform Engineering team. You would report directly to our co-founder and CTO and work out of our office in downtown New York City at least 4 days per week.

On this team, you would:

  • Own traditional and agentic capabilities end-to-end, including their data models, data pipelines, APIs, web app UI, backend infrastructure, and observability
  • Design and build data models, data integrations and pipelines, and agentic workflows to support product features and user experiences
  • Collaborate closely with our product managers and product engineers to launch innovative capabilities
  • Adopt and incorporate the latest trends in AI and dev tooling within our product and development process
  • Improve team velocity and code quality through tooling, process, and mentorship
  • Commit clean, maintainable code and contribute to code reviews, testing, and deployment activities
  • Provide technical support to Customer Success and Sales to accelerate implementations, sell new product offerings, and resolve issues quickly

What We're Looking For

  • Bachelor's degree in computer science, engineering, related field, or equivalent experience
  • 4+ years of professional experience shipping software, ideally AI products
  • Ability to drive complex features or subsystems with broad product impact
  • Expert at designing and building scalable and maintainable data models, data pipelines, agentic workflows, and internal tools
  • Skilled at using AI in development and incorporating it into the platform via APIs, pipelines, and MCP
  • Strong analytical and problem-solving skills, especially in abstract problem spaces
  • Curiosity, resourcefulness, and a growth mindset, willing to dive into new spaces
  • Exceptional communication skills and a collaborative spirit

Why Yogi?

We are in a very compelling position as a company. We have a multitude of brand-name customers, at significant contract sizes and strong renewal rates, who champion our product. We achieve consistently strong revenue growth, even in challenging markets over the past several years.

To meet our ambitious goals, we need to bring on ambitious people. At Yogi, you can have as much responsibility as you're able. This is the place where you can work on greenfield problems and accelerate your professional development. You'll work closely with talented people from diverse backgrounds as well as directly with the founders. You'll rapidly witness the direct impact you have on major global brands.

If you want to build cutting-edge AI products, have your contributions matter immediately, and join a company that's ready to scale, let's chat.

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