What the role involves
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.
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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.
About NanoNets
AI agents break where it matters most: when the details are buried in an invoice, a BoL, or a clinical document. Most agents guess. They hallucinate field values, apply rules inconsistently, and when something goes wrong, you can’t tell why or fix it without redoing the work yourself. Nanonets is built differently. Every extraction is traceable. You can see exactly what the agent read, what rule it applied, and why it made the call it did. When it’s uncertain, it flags the right thing for human review instead of silently getting it wrong. When you correct it, it learns. When you add business rules, it tracks which rule drove which decision. Anyone can build agentic workflows, but AI agents are black boxes that struggle with complex files and processes, like POs, invoices, BoLs and clinical documents. Nanonets agents understand key details in files, work through complex processes and act with transparency, making them the most reliable foundation for building workflows where details matter. Nanonets reduces processing time by 95% by automating messy manual processes and delivering clean data to systems of record like SAP, SFDC and more. That’s why Nanonets is the automation layer global enterprises reach for when accuracy is non-negotiable.
Full NanoNets profile