Product Generalist

Reposted 13 Days Ago
Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Mid level
Artificial Intelligence • Machine Learning • Software
The Role
The Product Analyst will manage company metrics, define measurable outcomes, support hypothesis-driven development, and collaborate with product teams on data-driven decisions.
Summary Generated by Built In

About Nanonets

Nanonets agents are built for complex business processes. Ranked #1 in understanding unstructured data and applying business rules in processes like accounts payable, order management, and supply chain.
Nanonets agents handle the exceptions other tools miss, reducing processing time by 94% and delivering clean data to SAP, Salesforce, or any system of record. That's why global enterprises reach for Nanonets when workflows are complex and accuracy is non-negotiable.
Learn more about us here:
Youtube
Hugging Face
Nanonets Research

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.

Role Overview:

We are seeking a Product 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. As a Product Generalist, you’ll 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.

Key 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 We’re Looking For

Education:

  • Bachelor’s degree preferable from a Tier 1 college.
  • 2- 4 years of relevant experience, such as Data Analyst or Product Analyst, ideally within a B2B SaaS company.

Technical Skills:

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

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 with in-office time every quarter.

Thinking of applying? Try our resume builder— it's free, fast, and tailored to help you stand out.

 

Skills Required

  • Bachelor's degree from a Tier 1 college
  • 2-4 years of relevant experience as a Data Analyst or Product Analyst
  • Proficiency in SQL
  • Willingness to learn Python
Am I A Good Fit?
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The Company
HQ: San Francisco, CA
58 Employees
Year Founded: 2017

What We Do

Nanonets enables self-service artificial intelligence by simplifying adoption. Easily build machine learning models with minimal training data or knowledge of machine learning. At Nanonets, we serve up the most accurate models. Always.

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