SECTION I · THE BRIEF
Brief #12856Updated 30 JUN 2026BANGALOREGreenhouseY COMBINATOR
Employbl Dossier

Product Generalist

Nano Net Technologies Inc. designs and develops software solutions. The Company offers cloud based image labeling software platform. Nano Net Technologies serves customers in the State of California.

Location
Bangalore
Company size
100–500
Posted
3d ago
Via
Greenhouse
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  • 01Comp band & equity packageLocked
  • 02Seniority & experience requirementsLocked
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  • 06Offer & decision timelineLocked

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Product Generalist - Nanonets

View Company Profile
Job Title
Product Generalist
Job Location
Bangalore
Job Description

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.

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Nanonets Headquarters Location

San Francisco, CA

View company profile

Nanonets Company Size

Between 100 - 500 employees

Nanonets Founded Year

2017

Nanonets Total Amount Raised

$40,500,000

Nanonets Funding Rounds

View funding details
  • Series B

    $29,000,000 USD

  • Series B

    $29,000,000 USD

  • Series A

    $10,000,000 USD

  • Series A

    $10,000,000 USD

  • Seed

    $1,380,000 USD

  • Seed

    $1,380,000 USD

  • Seed

    $120,000 USD

  • Seed

    $120,000 USD