Skan AI

Skan AI is an AI-powered Process Intelligence platform that provides enterprises with a 360° view of their operations by capturing real-time workflows across all digital interfaces without backend…

AI-powered AnalyticsAutomation DiscoveryEnterprise AIOperational ExcellencePrivacy-first DesignProcess IntelligenceProcess MiningProductivity Optimizationskan.ai

Skan AI

AI-powered AnalyticsAutomation DiscoveryEnterprise AIOperational ExcellencePrivacy-first DesignProcess IntelligenceProcess MiningProductivity Optimizationskan.ai

HQMenlo Park, US

Team Size240

Open Jobs7

Total Funding$54M

Latest Fundraise4 years ago

TL;DR

What they do: Enterprise process intelligence / Work Graph platform that observes user activity to generate process maps, metrics, and AI-trained agents

Founding: Founded September 2018 by Avinash Misra and Manish Garg

Headcount (approx.): 228 employees

Notable funding: Raised a $40M Series B (announced March 2022) and a $14M Series A

Company Overview

Problem Domain

Enterprise process intelligence, workflow automation, and work-context data for AI-driven automation

Founded

2018

Industry

Software Development

Funding Track Record

Series A

$14M

Series B- March 2022

$40M

Series B participation included GSR Ventures, Liberty Global Ventures, Cathay Innovation, Citi Ventures, Zetta Venture Partners, and Firebolt Ventures

Investor Signal

“Raised venture funding from strategic corporate and VC investors including Dell Technologies Capital, Cathay Innovation, Citi Ventures, Zetta, Bloomberg Beta, Firebolt Ventures, GSR Ventures, and Liberty Global Ventures”

Join the Team

AI Engineer

HybridBengaluru, Karnataka, IN

Hybrid • Bengaluru, Karnataka, IN

We are seeking a highly skilled AI Engineer to design and implement intelligent systems that drive automation, insights, and innovation. You will work on machine learning (ML), deep learning and optimization algorithms collaborating with cross-functional teams building scalable AI solutions for real-world applications.

Key Responsibilities

Startup jobs. A lot of them.

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Technical Writer

Full-timeManchester, GB

Full-time • Manchester, GB

AI Researcher

Full-timeNew York, US

Full-time • New York, US

Backend Developer

Full-timeManchester, GB

Full-time • Manchester, GB

Software Engineer

ContractHamburg, DE

Contract • Hamburg, DE

Product Designer

InternshipSan Francisco, US

Internship • San Francisco, US

Product Designer

ContractRotterdam, NL

Contract • Rotterdam, NL

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Design, develop and optimize ML/AI models for classification, regression, and recommendation systems.

Implement machine learning pipelines (end-to-end), from data preprocessing to model deployment.

Develop and fine-tune deep learning architectures using TensorFlow, PyTorch etc.

Apply MLOps best practices for model versioning, monitoring, and retraining.

Work with large-scale datasets, performing feature engineering and data augmentation.

Optimize model performance for scalability, latency, and efficiency in production.

Deploy AI models using MLOps practices, containerization (Docker), and cloud services (Azure).

Research and experiment with state-of-the-art AI techniques to improve existing models and integrate cutting-edge techniques into production systems.

Collaborate with data scientists and product teams to integrate AI into business applications.

Qualifications & Skills

Bachelor's/Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
Strong programming skills in Python
Experience in training and deploying ML models in production.
Proficiency with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, Scikit-learn).
Knowledge of cloud computing (AWS, GCP, Azure) and MLOps tools.
Understanding of data structures, algorithms, and optimization techniques.
Experience with data engineering, feature extraction, and model evaluation.
Knowledge of deep learning techniques (CNNs, RNNs, Transformers, GANs, etc.).
Experience with LLMs (GPT, BERT, LLaMA, T5) and fine-tuning models.
Knowledge of multi-modal AI (text, image).

Knowledge of reinforcement learning, planning, and decision-making models.
Hands-on experience with big data processing and big data frameworks
Familiarity with vector databases.
Experience in real-time AI applications for high-performance systems.

Skan AI

Skan AI

TL;DR

Company Overview

Problem Domain

Founded

Industry

Funding Track Record

Investor Signal

Founders

What we do

Join the Team

AI Engineer

Startup jobs. A lot of them.

Technical Writer

AI Researcher

Backend Developer

Software Engineer

Product Designer

Product Designer

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