Product Marketing Manager at NanoNets (W17)
$150K - $200K
Automatic Data Extraction
Palo Alto, CA, US / San Francisco, CA, US / San Jose, CA, US / Menlo Park, CA, US / Mountain View, CA, US / Sunnyvale, CA, US
Full-time
Will sponsor
3+ years
About NanoNets

Nanonets is automating document information extraction using AI. We are headquartered in San Francisco. We are backed by prestigious investors from bay area like Y-Combinator, SV Angels, Sound Ventures by Ashton Kutcher. We are currently profitable and growing at a fast pace and looking to expand our team.

We are building a product that lets companies automate extracting key information from documents like invoices, receipts, or any other kind of document and integrate it into their workflows saving manual work. We need to keep building features that will let users automate millions of documents of different kinds every day, feed them to our AI for learning, plug our API to external systems like salesforce, quickbooks, RPA providers etc.

You should check it out at https://app.nanonets.com

About the role

Nanonets is transforming the way businesses work. Our AI platform takes the manual, messy, time consuming work — that bog down industries like finance, healthcare, supply chain, and more — and turns them into seamless, automated processes. What once took hours of human effort now takes seconds with Nanonets. Our client footprint spans across 34% of Fortune 500 enabling businesses across various industries to unlock the potential of AI in automating their business processes. 

More than 10,000 businesses trust Nanonets because we don’t just promise efficiency — we deliver it with unmatched accuracy, seamless integrations.

In 2024, we raised a $29M Series B led by Accel with continued backing from Elevation Capital and YCombinator, fueling our mission to reshape entire industries through intelligent automation. With revenues tripling year over year and a rapidly scaling global team, we’re not just imagining the future of work — we’re building it.

_Read about the release here:
_Article 1
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The Role

We’re hiring a Product Marketing Manager to own how Nanonets shows up to the market — turning product capabilities into clear messaging, high-converting assets, and sales enablement that drives pipeline.

This PMM will work across both product pods, partnering closely with Product, Sales, Growth, and Design to bridge the gap between what we build and how customers understand, adopt, and buy it.

Roles and Responsibilities 

You’ll own how Nanonets shows up to the market—turning product capabilities into clear messaging, high-converting assets, and sales enablement that drives pipeline.

Core ownership areas

  • Landing pages (primary owner): Create and continuously improve product/solution landing pages (messaging, positioning, structure, proof points, CTAs). Partner with design and growth to ship, test, and iterate.
  • Sales collateral: Build and maintain sales decks, one-pagers, battlecards, case-study summaries, objection handling, and ROI/value narratives used across the funnel.
  • collateral for other channels like Webinars: Own end-to-end webinar assets—registration pages, email copy, slide decks, talk tracks, follow-up sequences, and post-webinar recap materials.
  • Customer testimonials & stories: Source, shape, and publish testimonials and case studies (written + video). Build a repeatable pipeline with sales/CS to capture proof.
  • Social media (PMM-led): Create product- and customer-led social content (launches, feature highlights, use-cases, short clips, carousels) aligned to campaigns and positioning.

Go-to-Market & Messaging

  • Define positioning and messaging for key products, use cases, and verticals.
  • Translate customer insights into crisp narratives and content themes.
  • Coordinate launches with product, sales, and growth (announce, enable, and measure adoption/pipeline impact).

Success Metrics

  • Landing page conversion rate, bounce rate, demo/signup rate, and SEO-driven lead volume
  • Sales asset usage and impact (win rates, cycle time reduction, meeting-to-opportunity conversion)
  • Webinar pipeline influenced (registrations → attendance → SQL/opportunity)
  • Volume/quality of testimonials and case studies shipped per quarter
  • Social engagement and traffic contribution to key pages/campaigns

Requirements and Skills 

  • 3+ years in product marketing (B2B SaaS preferred), with strong ownership of website/landing pages and sales enablement
  • Excellent writing and editing ability; can distill complex product into simple value
  • Strong taste for great messaging, proof, and narrative structure
  • Comfortable running projects end-to-end and working with design, product, sales, and growth
  • Data-driven: you measure impact and iterate quickly

Additional Information 

Hybrid role, (twice a week in our Palo Alto office), based in the Bay Area, CA. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $150,000 - $200,0000 per year.

Technology

Some of the interesting things our backend team has shipped

  • Compile python code into C which could be imported into golang and then shipped as binary for on premise systems
  • Autoscale GPU dependent services with kubernetes with a custom metric
  • Displaying machine learning metrics in simplified ways to end users so they can act based on those metrics
  • Building large number and variety of integrations with relatively generic interface like salesforce, quickbooks, RPA's, external databases
  • Process large number of files in highly distributed manner in golang

Some of the interesting things our frontend team has shipped

  • Ability for users to annotate documents so AI can learn which fields to extract
  • Displaying machine learning metrics in simplified ways to end users so they can act based on those metrics
  • Letting users build complex visual workflows around our API in our product.
  • Let users visualize complex ML metrics in a very simple and intuitive way

Our stack:

  • Databases
    • Cassandra DB
    • Postgres/MySQL
  • Backend
    • Golang for API and other microservices
    • Python for Machine learning (Tensorflow, Pytorch)
  • Frontend
    • React, Typescript
    • Mobx
  • Cloud Providers
    • AWS
    • GCP for ML heavy workload
  • Monitoring/Alerting
    • ELK for logging
    • Prometheus for Monitoring
    • Graphana for dashboards
  • Orchestration
    • Kubernetes
  • DevOps
    • Jenkins for CI/CD

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