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Job Title: Sales Executive – SaaS
FactWise is a fully funded, early-stage b2b SaaS startup offering solutions to a global client base. The flagship product is an end-to-end S2P solution designed to transform procurement for product manufacturing companies across industries. Our singular focus is to create a truly distinctive procurement platform that delights users and provides sustainable positive impact to the organizations we serve. We achieve this by providing transparency and insights to leaders, streamlining and automating processes to improve efficiency, and driving bottom-line impact by unlocking savings potential.
Key Responsibilities:
• Call and connect with prospective clients to explain SaaS products.
• Arrange meetings and product demos with potential customers.
• Communicate effectively via calls, emails, and virtual meetings.
• Maintain follow-ups to build and nurture client relationships.
• Prepare and send professional emails to prospects and clients.
Requirements:
• 1–2 years of experience in SaaS product sales.
• Strong communication and presentation skills.
• Ability to engage with clients and clearly explain product value.
• Good email writing and follow-up skills.
Experience: 1–2 years (preferably in SaaS product sales)
CTC: ₹35,000 – ₹40,000 per month
We are excited to explore possibilities for how FactWise’s growth journey may align with yours!
Shubham Vishwakarma
Full Stack Developer - Averlon
About FactWise
About
We're a b2b SaaS early-stage startup that received pre-seed funding without a single slide in place! We are currently building our first product- a complete end-to-end S2P (source to pay) solution that modernizes and simplifies the interaction between suppliers and buyers while integrating into the client's ERP and accounting systems.
Our core team comprises alumni from MIT, Stanford, UCL, McKinsey, and Amazon. Ours is a small engineering team that is growing quickly, where each member's contribution matters immensely and impacts product development directly. We believe that FactWise as a collective grows and succeeds as the individuals that comprise it grow and succeed, and work to create and maintain a culture of trust, authenticity, support, healthy debate, accountability, holistic feedback, and having fun! We are looking to be joined by passionate self-starters who can grow into future leaders of FactWise!
Connect with the team
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Location: Remote
Experience: 4+ Years
Employment Type: Full-time
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Experience with React Js, React Native, JavaScript including DOM manipulation and the JavaScript object model.
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Contact Abha : HHECBAGECI (Interpretate alphabets into numbers staring A as 1, B as 2 anad so on)
Angular (2+)PythonJavascript**Logistics:**
- Current Location (city)
- Willingness/Ability to move to NCR post pandemic
- Available From Date
- Notice Period (if any)
- Current CTC/Expected Compensation
**Cover Letter:**
- A short one paragraph summary of your experience, and a few sentences about why you're applying for this role.
**Strong Preference for candidates who can join quickly, and are already in the NCR.**
# Company
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 expereinced full-stack engineer, with front-end experience to join our team.
We will share our workload as a team and we expect you to work on a broad range of tasks.
Here’s are some of the things you might have to do on any given day:
- Implement responsive and performant UIs with user centered approach with frontend technologies including Angular 2, Javascript(ES 6), Typescript, SCSS, etc
- Build back-end REST APIs on Python 3 based server frameworks for deployment and scaling of our product(s)
- Write meaningful test cases for frontend & backend platforms
- Integrate our products with 3rd party products/tools/services
- Develop Infrastructure for delivering services using a performance driven approach, build databases, schedule automated jobs, etc
# Ideal Background / Experience
- At least 24 months of diverse experience in web development for product or services oriented environment with exposure to working production deployments
- Expertise in programming using Python/Javascript 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
Nice to have exposure to any of
- AWS
- Azure
- ELK
- Object Relational Models (SQLAlchemy, etc)
- Google APIs
- Microservices Architecture Pattern
- NodeJS / ExpressJS
# Desirables
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 team-mates 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.
# What else you need to know
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.
Machine Learning (ML)
Data Science
Deep Learningalong with metrics to track their progress
Managing available resources such as hardware, data, and personnel so that deadlines
are met
Analysing the ML algorithms that could be used to solve a given problem and ranking
them by their success probability
Exploring and visualizing data to gain an understanding of it, then identifying
differences in data distribution that could affect performance when deploying the model
in the real world
Verifying data quality, and/or ensuring it via data cleaning
Supervising the data acquisition process if more data is needed
Defining validation strategies
Defining the pre-processing or feature engineering to be done on a given dataset
Defining data augmentation pipelines
Training models and tuning their hyper parameters
Analysing the errors of the model and designing strategies to overcome them
Deploying models to production
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon