What the role involves
Nanonets (YC '17) is looking for enthusiastic, self-starters who’ve worked with CXOs, tackled complex business problems, and are ready to make a real impact, to join our US team.
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. From automating data extraction processes to enhancing reconciliation, our solutions are designed to revolutionize workflows, optimize operations, and unlock untapped potential for our clients.
Our client footprint spans across brands such as Toyota, Boston Scientific, Bill and Entergy to name a few enabling businesses across a myriad of industries to unlock the potential of their visual and textual data.
In 2024 we announced a series B round of $29 million in funding by Accel and are backed by the likes of existing investors including Elevation Capital & YCombinator. This infusion of capital underscores our commitment to driving innovation and expanding our reach in delivering cutting-edge AI solutions to businesses worldwide.
Read about the release here
https://www.forbes.com/sites/davidprosser/2024/03/12/why-enterprises-are-learning-to-love-nanonets-automation/?sh=6d79ec8f3ca1
https://techcrunch.com/2024/03/12/nanonets-funding-accel-india/amp/
We're operationally profitable, growing 15% MoM and are very healthy financially.
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.
Nanonets is proud to be an equal opportunity workplace dedicated to pursuing, hiring, and retaining a diverse workforce.
Nanonets is currently on the lookout out for our Account Executive - MidMarket in the US, who'll spearhead expansion and close deals with inbound leads in the US region. They would be our main point of contact for customers and manage relations with key accounts in the US region. They will be crucial to the Nanonets growth story.
Roles and Responsibilities
- Work with the Sales and Marketing teams on how to expand into markets
- Be Nanonets' voice in and the first person inbound leads talk to
- Negotiate with and close deals, maintain excellent client relationships, and continually build opportunity pipeline
- Identify potential customers and set approach strategies
- Communicate with and manage existing accounts and resolve conflicts
- Discover our customers' business needs and propose appropriate solutions
- Track and coordinate all activities occurring for each account
- Analyze marketing trends and predictions and researching market conditions to develop sales goals and marketing strategies
- Develop plans to target new customers
Requirements and Skills
- 3+ years experience working in the enterprise tech space (fast paced environment + start-up experience is preferred)
- Hybrid, 2x a week in Palo Alto, CA
- Proven experience in building successful pipelines
- Ability to cold call on target markets (phone, email, events, etc)
- Ability to articulate corporate message and value prop
- Ability to close business
- Able to manage multiple deals simultaneously
- People skills, ability to connect and network anywhere
- You know how to identify close steps
- Previous sales experience in selling enterprise software
- You can demonstrate previous sales success
- 6+ months experience working on workflow based pricing / selling tokens (Nice to have)
- Some knowledge around or a high level understanding of large language models, RAG and model fine-tuning (Nice to have)
- Hybrid, based in the Bay Area, CA - base salary is $100,000 - 120,000 per year
- Please note we are looking for candidates who are based in the Bay Area or already planning a move to the Bay Area
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