AI Generalist

Join Nanonets to push the boundaries of what's possible with deep learning. We're not just implementing models we're setting new benchmarks in document AI, with our open-source models achieving nearly 1 million downloads on Hugging Face and recognition from global AI leaders.

Backed by $40M+ in total funding including our recent $29M Series B from Accel, alongside Elevation Capital and Y Combinator, we're scaling our deep learning capabilities to serve enterprise clients including Toyota, Boston Scientific, and Bill.com. You'll work on genuinely challenging problems at the intersection of computer vision, NLP, and generative AI.

Here's a quick 1-minute intro video.

About the Role:

We are seeking an AI Generalist to take ownership of key metrics, reporting, and experimentation within Nanonets. Working directly with our founders, this role involves goal setting, tracking, and prioritizing features based on metrics-driven insights. Youll be critical to helping teams set data-informed goals, clarifying the key metrics that drive success, and enabling a hypothesis-driven approach to product development.

If you enjoy working in high-velocity environments where you can move from data analysis to creative experimentation in the same day, youll fit right in.

Responsibilities:

• Metrics Ownership: Manage and report on company metrics, setting measurable goals and tracking progress against them.
• Outcome Definition: Help teams define data-backed goals and establish measurable outcomes, ensuring efforts align with strategic company objectives.
• Input Metrics Clarity: Identify and communicate the key levers that drive output metrics, providing teams with actionable insights.
• Hypothesis-Driven Development: Build systems that support hypothesis testing through product features, creating, running, and measuring A/B tests and experiments to validate customer behavior hypotheses.
• Product Development Optimization: Partner with product teams to establish high-quality goals, focus on the most impactful metrics, and support agile development based on data-driven decision-making.

What Were Looking For:

Education:

• Bachelors degree preferable from a reputed institution.
• 3+ years of relevant experience in a Product/Analyst/AI role, such as Data Analyst or Product Analyst or Product Manager, ideally within a B2B SaaS company.
• Previous Founder/Co-founder or Entrepreneurial experience would be a plus !

Technical Skills:

• Strong analytical skills and understanding of key product metrics.
• Robust product sense, with the ability to interpret and act on data for feature prioritization.
• Proficiency in SQL (required).

Mindset: Curious, experiment-driven, and eager to tackle complex product challenges through data. Comfortable scrapping or iterating on underperforming features based on data.

Why Join Us?

• Innovative Culture: Be part of a forward-thinking company at the forefront of AI and ML innovation.
• Growth Opportunities: Nanonets offers ample growth opportunities, allowing you to make a tangible impact in the product features
• Flexible Work Arrangements: Enjoy a flexible hybrid work model.

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