NanoNets

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

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. Nanonets is at the forefront of this transformation, offering innovative ML solutions designed to make document related processes faster than ever before.  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.com and Entergy to name a few enabling businesses across a myriad of industries to unlock the potential of their visual and textual data  We recently 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://techcrunch.com/2024/03/12/nanonets-funding-accel-india/amp/  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. We're looking to hire a rockstar Customer Success Manager to delight our customers with their expertise of the product and ability to build deep relationships with them. What you'll do TLDR - Manage Customer Expectations, Be Customers voice for internal stakeholders Primary KPI - Net Revenue Retention - (What is NRR - https://www.smartkarrot.com/resources/blog/net-revenue-retention/) Engage with customers right after the contract is closed and technical integration is completed Understand customer requirements, and clearly articulate it to the technical team Clearly call out any deviations from the requirements (to the customer and internal teams) Write PRDs for internal teams to work on Create and implement customer success plans with detailed timelines, KPIs, challenges, and SLAs. Travel approximately 15% of the time to develop and nurture customer relationships and gain a deep understanding of their business goals and needs. Anticipate at-risk renewals or potential churn, and collaborate with relevant internal teams to develop corrective action plans. Serve as the single point of contact (SPOC) for all daily and weekly customer communications. Maintain and prioritize the backlog and enhancement requests across multiple customers. Relay customer feedback to internal teams and coordinate with them to drive necessary improvements. Foster customer advocacy by facilitating testimonials, case studies, and reference programs. You will thrive in this role if you :  Have at least 2 years of stakeholder management experience (Sales / Consulting / Account Management). Have strong verbal and written communication skills, along with excellent conflict management and resolution abilities. Are highly skilled at building deep relationships with CXOs and leadership teams. Can clearly and confidently communicate technical concepts to both customers and internal stakeholders. Operate with a high level of ownership and intensity, possess strong problem-solving skills, are comfortable with frequent context switching, can manage multiple projects simultaneously with expansive ownership, and ruthlessly prioritize. Good to Have:  Proven track record of leading projects. Exceptional verbal and written communication skills, including the ability to engage both technical and non-technical audiences, and to communicate effectively with individual contributors, management, and executive leadership. Strong communication skills with a distinctive ability to em

About Us 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 Article 2 The Role We’re hiring a Technical Engagement Manager to own the post‑sale customer journey and ensure customers achieve meaningful business outcomes with Nanonets. This role sits at the intersection of customers, product, and engineering — blending stakeholder management, light technical fluency, and project leadership. This is not a pure Customer Success or Account Management role — this position requires hands-on delivery ownership and technical fluency. You will be the primary point of contact for customers after implementation, responsible for driving adoption, managing expectations, and representing the customer’s voice internally. Roles and Responsibilities  Customer Engagement & Ownership Own customer relationships post‑implementation and serve as the single point of contact for ongoing engagement. Build trusted relationships with customer stakeholders across technical and non‑technical teams. Proactively manage customer expectations, risks, and escalations to ensure long‑term satisfaction and retention. Project & Delivery Management Translate customer requirements into clear documentation (PRDs, workflows, success criteria) for internal teams. Partner closely with Product, Engineering, and Solutions teams to scope work, prioritize requests, and deliver against timelines. Maintain and prioritize backlogs across multiple customer accounts. Plan and communicate project timelines using structured documentation (project plans, trackers, presentations). Ensure end‑to‑end testing and validation of workflows before customer release. Customer Advocacy & Product Feedback Act as the voice of the customer internally, clearly surfacing feedback, enhancement requests, and recurring themes. Identify opportunities to improve product adoption, workflow efficiency, and customer outcomes. Support renewals and expansions by demonstrating value realization and impact. Requirements and Skills 3+ years of experience in stakeholder‑facing roles such as Technical Engagement Manager, Implementation Manager, Technical Account Manager, Solutions Consultant, or Customer Delivery Manager. Bachelor’s degree in Computer Science, Engineering, or a related technical field OR prior experience working as a software engineer or in a technical development role. Demonstrated experience leading end-to-end SaaS implementations in partnership with engineering teams. Strong technical fluency — comfortable discussing APIs, integrations, data workflows, and system constraints (no coding required). Experience translating business requirements into structured technical documentation (PRDs, specs, workflows). Proven ability to manage multiple complex customer implementations simultaneously. Strong stakeholder management skills with both technical and non-technical audiences. Nice to Have Experience in AI/ML, workflow automation, document processing, or enterprise SaaS. Experience working with enterprise or mid-market customers in production environments. Prior

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. Nanonets is at the forefront of this transformation, offering innovative ML solutions designed to make document-related processes faster than ever before. 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.com and Entergy to name a few enabling businesses across a myriad of industries to unlock the potential of their visual and textual data. We recently announced a series B round of $29 million in funding by Accel and are backed by the likes of existing investors including Elevation Capital and 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: <u><a href="https://www.forbes.com/sites/davidprosser/2024/03/12/why-enterprises-are-learning-to-love-nan" target="_blank">https://www.forbes.com/sites/davidprosser/2024/03/12/why-enterprises-are-learning-to-love-nanonets-automation/?sh=6d79ec8f3ca1</a></u> <u><a href="https://techcrunch.com/2024/03/12/nanonets-funding-accel-india/amp/" target="_blank">https://techcrunch.com/2024/03/12/nanonets-funding-accel-india/amp/</a></u> 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 Analyst 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 Analyst, 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 fle

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 Article 2 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.

Join Nanonets to push the boundaries of what's possible with deep learning. We're not just implementing models – we're setting new benchmarks in document AI, with our open-source models achieving nearly 1 million downloads on Hugging Face and recognition from global AI leaders. Backed by $40M+ in total funding including our recent $29M Series B from Accel, alongside Elevation Capital and Y Combinator, we're scaling our deep learning capabilities to serve enterprise clients including Toyota, Boston Scientific, and Bill.com. You'll work on challenging problems at the intersection of computer vision, NLP, and generative AI. What You'll Build Core Technical Challenges: Train & Fine-tune SOTA Architectures: Adapt and optimize transformer-based models, vision-language models, and custom architectures for document understanding at scale Production ML Infrastructure: Design high-performance serving systems handling millions of requests daily using frameworks like TorchServe, Triton Inference Server, and vLLM Agentic AI Systems: Build reasoning-capable OCR that goes beyond extraction – models that understand context, chain operations, and provide confidence-grounded outputs Optimization at Scale: Implement quantization, distillation, and hardware acceleration techniques to achieve fast inference while maintaining accuracy Multi-modal Innovation: Tackle alignment challenges between vision and language models, reduce hallucinations, and improve cross-modal understanding using techniques like RLHF and PEFT Engineering Responsibilities: Design distributed training pipelines for models with billions of parameters using PyTorch FSDP/DeepSpeed Build comprehensive evaluation frameworks benchmarking against GPT-4V, Claude, and specialized document AI models Implement A/B testing infrastructure for gradual model rollouts in production Create reproducible training pipelines with experiment tracking  Optimize inference costs through dynamic batching, model pruning, and selective computation 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. Technical Requirements Must-Have: 4+ years of hands-on deep learning experience with production deployments Strong PyTorch expertise – ability to implement custom architectures, loss functions, and training loops from scratch Experience with distributed training and large-scale model optimization Proven track record of taking models from research to production Solid understanding of transformer architectures, attention mechanisms, and modern training techniques B.E./B.Tech from top-tier engineering colleges Highly Valued: Experience with model serving frameworks (TorchServe, Triton, Ray Serve, vLLM) Knowledge of efficient inference techniques (ONNX, TensorRT, quantization) Contributions to open-source ML projects Experience with vision-language models and document understanding Familiarity with LLM fine-tuning techniques (LoRA, QLoRA, PEFT) Why This Role is Exceptional Proven Impact: Our models approaching 1 million downloads – your work will have global reach Real Scale: Your models will process millions of documents daily for Fortune 500 companies Well-Funded Innovation: $40M+ in funding means significant GPU resources and freedom to experiment Open Source Leadership: Publish your work and contribute to models already trusted by nearly a million developers Research-Driven Culture: Regular paper reading sessions, collaboration with research community Rapid Growth: Strong financial backing and Series B momentum mean ambitious projects and fast career progression Our Recent Achievements Nanonets-OCR model: ~1 million downloads on Hugging Face – one of the most adopted document AI models globally Launched industry-first Automation Benchmark defining new standards for AI reliability Published research recognized by leading AI researchers Built agentic OCR systems that reason and adapt,

Nanonets has a vision to automate the most complex, time-consuming processes inside companies which take away hours of valuation time from employees. Our workflow automation platform is powered with the latest models that can make sense of even unstructured data like documents. Our client footprint spans across brands such as Toyota, Boston Scientific, Bill.com and Entergy to name a few enabling businesses across a myriad of industries to unlock the potential of their visual and textual data. Some of the technical challenges we deal with are fine-tuning SOTA VLM’s for workflow automation, using generating architectures for their superior emergent behaviour to understand the world but also constraining those architecture to reduce hallucination and generate structured workflows which can be used in completely automated manner. We recently 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/ What We Expect From You Strong Machine Learning & DL concepts. Strong command in low-level operations involved in building architectures like Transformers, Efficientnet, ViT etc., and experience in implementing those in pytorch/jax/tensorflow. Experience with the latest semi-supervised, unsupervised and few shot architectures in Deep Learning methods in NLP/CV domain Strong command in probability and statistics. Strong programming skills. Have previously shipped something of significance, either implemented some paper or made significant changes in an existing architecture etc Ideal candidate should have the following skillset Experience building and deploying systems Experience with Theano/Torch/Caffe/Keras/Python/Tensorflow all useful Experience writing production software would be a plus The ideal candidate should have developed their own DL architectures apart from using open source architectures. Ideal candidate would have extensive experience with computer vision applications. Interesting Projects Other Senior DL Engineers Have Completed Deployed large scale multi-modal architectures that can understand both text and images really well. Built an auto-ML platform that can automatically select best architecture, fine-tuning method based on type and amount of data. Best in the world models to process documents like invoices, receipts, passports, driving licenses, etc Hierarchical information extraction from documents. Robust modeling for the tree-like structure of sections inside sections in documents. Extracting complex tables — wrapped around tables, multiple fields in a single column, cells spanning multiple columns, tables in warped images, etc. Enabling few-shots learning by SOTA finetuning techniques. Candidate should have experience working on Deep Learning with an engineering degree from a top tier institute Thinking of applying? Try our resume builder— it's free, fast, and tailored to help you stand out.

Nanonets is a SAAS product that automates manual processes for other companies. We use state-of-the-art machine learning algorithms to enable this hyper-automation. We are looking for our first Sales Engineer to work closely with our sales team (In US timezone) and assist them in selling this technical product to other companies. A big part of the role will be to understand Nanonets product really well, understand customer requirements/goals and build machine learning models on the Nanonets platform to demo capabilities to customers on their own data. This would be instrumental in helping close sales faster. If you are interested in AI/ML space, good with communication, enjoy tasks with quick wins and love solving on diverse set of problems, this role would be good fit for you. Responsibilities: Accompanying salespeople on client calls to answer technical questions, understand their current processes and goals with Nanonets, and suggest improvements. Building solutions/demos based on their requirements using Nanonets product Solving challenges potential customers might be facing with the product Researching about customers current tools/stack and building technical architecture for end solution we are proposing that will solve their problem  What You'll Bring to the Table (Must-Haves): Proficiency in Python for scripting or building solutions Experience working with relational databases (any major DB works) Understanding of APIs and how they integrate with products Comfort using Git for version control and collaboration Strong written and verbal communication skills — you’ll be working closely with both customers and internal teams Work Culture at Nanonets We follow a hybrid work model, with most teams coming into the office twice a week. It helps us stay collaborative, connected, and aligned — while still giving space for deep, focused work. Thinking of applying? Try our resume builder— it's free, fast, and tailored to help you stand out.