Product Generalist
Quick Summary
About Nanonets Nanonets has a vision to help computers see the world starting with reading and understanding documents. Machine Learning (ML) is no longer a futuristic concept—it's a present-day powerhouse transforming the business landscape.
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…
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.
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.
Responsibilities
~1 min read- →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 Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- January 30, 2026
- First seen
- March 26, 2026
- Last seen
- July 8, 2026
Posting Health
- Days active
- 103
- Repost count
- 0
- Trust Level
- 23%
- Scored at
- July 8, 2026
Signal breakdown
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