Freshers with coding level expertise in Node.js, Java, and Python
Strong understanding of fundamental data structures and algorithms
Familiarity with web applications and their architectures
Familiarity with these concepts/systems is a plus - NoSQL databases (MongoDB, etc.), server frameworks (Spring), container management (Docker, Kubernetes), testing infrastructure (Selenium, Puppeteer), machine learning frameworks [TensorFlow, Pytorch], AWS and EKS
Annual CTC: ₹ 7,00,000 - 12,00,000 /year
Annual CTC breakup:
1. Fixed component: 80%
2. Variable component: 15%
3. Other incentives: 5%
1. Wingman is a product that helps salespeople sell better by using machine learning to understand sales conversations. Wingman was a part of YCombinator, Summer 2019. It records sales calls and emails, uses machine-learning to identify trends and provide insights. Sales managers use these insights to:
i. Provide personalized & data-backed coaching
ii. Understand the voice of customers at scale (which feature do I build next, where should I market my product, etc.)
Wingman's customers are mostly sales teams of tech companies based in the U.S. Thousands of salespeople are using Wingman today to get better at selling. Join us today and be a part of building the infrastructure that supports the explosive growth that this space is seeing today. Seriously, we need help.
Wingman uses cutting-edge machine-learning technologies to convert unstructured audio into actionable insights in real-time! Not today, not tomorrow, but real-time. This involves many challenging problems that require us to be at the forefront of infrastructure architectures and machine learning advancements to understand and influence customer conversations. Come talk to us to see what we've built and get a peek into the possibilities beyond.
2. What's in it for you
1. Work on hard problems with stellar engineers (check out our engineering team on LinkedIn)
2. Work at a fast-growing & well-funded startup
3. We are one of the few spaces to be positively impacted by the current work-from-home situation (remote sales teams find our product incredibly useful)
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