
Egregore Labs (www.egregorelabs.com) is a financial software company founded in 2017 by Prashant Vijay (ISB, Tulane) & Hari Balaji (IIM Ahmedabad, IIT Madras) both of whom have spent over a decade each in Financial Services, with a majority of their experience at Goldman Sachs across New York, Hong Kong & Singapore in roles across Trading, Quant & Technology.
Opportunity
We are looking for an experienced technical product manager to work with us. Our product combines Natural Language Processing, Computer Vision and Knowledge Graphs.
The Right Person For This Role Will
- Have a deep understanding of NLP, Computer Vision
- Potentially have exposure to Knowledge Graphs
- Have strong solution skills in translating customer needs to product requirements
- Engineering background mandatory, you will be expected to get hands-on with code and data
- Project manage the delivery of POCs and Product, interfacing with engineering and implementation teams
- Propose and implement fast Proof of Concepts and lightweight experiments
- Ability and experience working with technical teams, and development, requirement analysis, or PM experience around APIs is a plus
- Excellent analytical skills with a tendency to prefer data over instinct
- Experience working in a fast-paced environment, with competing resources and priorities, through planning, development, and launch.
- Exposure to data science will be a big plus.
- Exposure or experience in Financial Services a big plus
Here's are some of the things you might have to do on any given day :
- Join a client call and understand what their requirements are
- Work with a developer (or solo) to build a quick POC using our technologies for the client
- Work with the engineering team to build and deploy production solutions (cloud and on-prem)
- Do calls with client technical, architecture, and data science teams to explain our product and deployment
- At least 3 years of diverse experience in product or services organizations working on NLP driven products
- Experience in serving Enterprise / Fortune 500 Clients
- Familiarity with the competitive landscape of NLP and Computer Vision products
- Experience in IDP / RPA a big plus
- Expertise in programming using Python or similar scripting languages
- In-depth exposure to technologies used in web-based SaaS products, including REST APIs
- Sound understanding of Postgres and NoSQL databases such as MongoDB
- AWS
- Azure
- ELK
- Google APIs
- Microservices Architecture Pattern
We are looking for a person who has :
- Resourcefulness- - we're looking for versatile developers who are good at figuring out what they need to use, learn, build, re-purpose to get the job done quickly and efficiently.
- Ownership- - We like to be directive and not prescriptive in our management. We- d love for you to take ownership of what you work on, and tell us what to do, rather than the other way round.
- Work Ethic- - We've grown up on Wall Street. We work hard and have aggressive goals. We want our teammates to be focused, goal-oriented, and consistent high achievers.
- Execution Focus- - Our business is about getting things done and getting things done right. We want outcome-focused colleagues who can multi-task, and execute quickly and elegantly.
We are an early-stage company. Working here is not for the faint-hearted. An intense and unstructured work environment, lots of excitement, and a group of motivated colleagues is what we bring to the table. We ask you to bring your undivided attention, strong worth ethic & resourcefulness. We are Delhi-based and work 6 days a week. We operate in a Python environment.

About Egregore Labs
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Data Science in Financial Markets
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- Reporting to – CTO (Shankar Borate)
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Educational Background
- Engineering graduate (B.E./B.Tech)
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- 8+ Years of hands on experience in C/C++ Language, Core C language is preferred
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- Participate in technical support
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- Self-starter and motivator – We do not believe in monitoring or tracking team members
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- Eager to grow – We are a small team, and want to have people to grow into larger roles as the company grows












