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We are seeking a high-performing Senior Business Development Associate (Sr. BDA) to drive enrollments and revenue growth for our EdTech offerings. The ideal candidate will have strong experience in consultative sales, lead conversion, and customer engagement, with the ability to independently manage the complete sales cycle.
Key Responsibilities
- Handle high-quality inbound and outbound leads and convert them into enrollments
- Conduct detailed counseling sessions to understand learner goals and recommend suitable programs
- Drive end-to-end sales cycle: lead engagement, follow-ups, objection handling, and closures
- Consistently achieve and exceed monthly revenue and enrollment targets
- Maintain accurate data in CRM and ensure timely follow-ups
- Build strong rapport with students, working professionals, and parents
- Support junior BDAs through guidance, best practices, and on-call assistance
- Coordinate with marketing, operations, and academic teams to ensure seamless learner onboarding
- Provide market feedback and insights to improve sales strategies and offerings
Eligibility & Requirements
- 2–5 years of experience in Inside Sales / Business Development / Education Counseling
- Prior experience in EdTech, BFSI, Telecom, or high-ticket sales preferred
- Strong track record of meeting or exceeding sales targets
- Excellent communication skills in English and Hindi (additional languages are a plus)
- Comfortable working in a target-driven, fast-paced environment
- Experience using CRM tools and sales dashboards
Skills Required
- Advanced sales and negotiation skills
- Strong objection-handling and closing abilities
- Customer-centric and solution-oriented approach
- Time management and pipeline ownership
- Leadership mindset and mentoring capability
- Strong proficiency in Java programming language.
- Experience with Java frameworks like Spring and Spring Boot.
- Understanding of RESTful APIs and web services.
- Experience with databases and data storage technologies (e.g., SQL, NoSQL).
- Knowledge of software development best practices, including testing and code quality.
- Experience with version control systems (e.g., Git).
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
- Strong problem-solving and debugging skills.
- Excellent communication and collaboration skills.
Business Development Representative (BDR)
Company Name: F22 Labs
Location: Chennai (WFO)
Experience: 0 - 2 yrs
Our Company
F22 Labs has worked with 100+ entrepreneurs over 11 years, including Hollywood celebrities and Fortune 500 companies. We're now focusing on AI transformation projects for enterprises, leveraging our existing POCs in computer vision, voice AI, and custom model development.
The Opportunity
We're looking for a hungry, coachable individual to join our sales team and help us transition from startup clients to mid-market enterprises. This is a ground-floor opportunity where you'll learn everything from scratch while building a $1M+ sales pipeline.
This role is perfect for someone who:
- Wants to learn sales from the ground up
- Loves the grind of outbound prospecting
- Gets energized by rejection (because there will be a lot of it)
- Wants to earn serious money through performance
What You'll Actually Do
- Cold calling: 100 calls per week to enterprise prospects
- Cold outreach: 100 personalized emails per week to CTOs, Chief AI Officers, and Digital Transformation heads
- LinkedIn prospecting: 100 targeted messages weekly to decision makers
- Research & qualification: Identify companies needing AI transformation
- Meeting booking: Schedule qualified meetings for our leadership team
- Pipeline management: Track every activity, response, and outcome in our CRM
Success Metrics (Non-negotiable)
- 1 qualified meeting booked per week minimum
- Target companies: Mid-market/enterprise ($50M+ revenue)
- Project size: $15K-$100K+ AI transformation projects
- Industries: Insurance, banking, manufacturing, healthcare
- Decision makers: CTOs, Chief AI Officers, Engineering Heads, Digital Transformation leaders
What We Provide
- Base salary: ₹30,000-35,000/month
- Commission: ₹35,000 for every project that closes (potentially doubling your income)
- Tools: LinkedIn Sales Navigator, email automation, CRM access
- Training: Complete sales training from our founders
- Growth path: Move into Account Executive role as we scale
What We Expect
- Excellent English communication (this is critical - you'll be talking to Fortune 500 executives)
- Data-driven mindset: Daily activity tracking and weekly performance reviews
- Persistence: Most prospects will ignore you. The right ones won't.
- Coachability: We'll teach you everything, but you need to implement feedback.
- Self-motivation: You'll work independently with regular check-ins
Daily Reality Check
- 8-10 hours of outbound prospecting daily
- Detailed daily reports on activities and results
- Weekly 1:1s to review performance and optimize approach
- Monthly pipeline reviews and target adjustments
- Lots of "no" responses and cold shoulders
- Occasional breakthrough meetings that make it all worth it
Ideal Candidate
- Location: Chennai
- Experience: 0-2 years (we prefer hungry beginners over bad habits)
- Education: Any degree (communication skills matter more)
- Personality: Competitive, resilient, curious, detail-oriented
- Goals: Wants to build a career in B2B sales and earn significant money
Red Flags (Please Don't Apply If...)
- You expect immediate success without putting in the work
- You get discouraged by rejection
- You don't like tracking detailed metrics
- You want a "relationship building" role without cold prospecting
- You're looking for a comfortable, low-pressure job
Selection Process
- Task
- HR Interview
- Final Interview
About the Role:
We are looking for a skilled and detail-oriented Data Analyst to join our team. The ideal candidate will be responsible for collecting, analyzing, and interpreting large datasets to support data-driven decision-making across the organization. Proficiency in MongoDB and SQL is essential for this role.
Key Responsibilities:
- Collect, process, and clean structured and unstructured data from various sources.
- Analyze data using SQL queries and MongoDB aggregations to extract insights.
- Develop and maintain dashboards, reports, and visualizations to present data in a meaningful way.
- Collaborate with cross-functional teams to identify business needs and provide data-driven solutions.
- Monitor data quality and integrity, ensuring accuracy and consistency.
- Support the development of predictive models and data pipelines.
Required Skills & Qualifications:
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
- Proven experience as a Data Analyst or similar role.
- Strong proficiency in SQL for data querying and manipulation.
- Hands-on experience with MongoDB, including working with collections, documents, and aggregations.
- Knowledge of data visualization tools such as Tableau, Power BI, or similar (optional but preferred).
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management abilities.
Good to Have:
- Experience with Python/R for data analysis.
- Exposure to ETL tools and data warehousing concepts.
- Understanding of statistical methods and A/B testing.
Qualifications:
- Bachelor's degree in Computer Science Engineering, or a related field (or equivalent experience).
- At least 7 years of experience in back-end development, specifically with Node.js.
- Strong understanding of JavaScript and TypeScript would be a plus.
- Experience with asynchronous programming and event-driven architecture.
- Familiarity with RESTful APIs and/or GraphQL.
- Proficient in working with databases (e.g., PostgreSQL).
- Knowledge of version control systems, particularly Git.
- Experience with cloud services (e.g., Azure Cloud) and containerization tools (e.g., Docker).
- Strong problem-solving skills and the ability to work independently as well as part of a team.
- Excellent communication and collaboration skills.
Networking skills to manage good relationship with all the stakeholder in Rice procurement chain.
Actively seek out new sales opportunities through cold calling and networking
Able to handle operations as well.
Preference for Rice sales experience candidate
Seeking a Sales Executive with 2-4 years of experience to sell our health tech product for storing medical images. Responsibilities include developing sales strategies, prospecting, client relationship management, and collaborating with cross-functional teams.
Key Responsibilities:
1. Business Development: Identify new business opportunities within healthcare, targeting hospitals, clinics, and diagnostic centers.
2. Sales Strategy: Develop and execute effective strategies to achieve sales targets through prospecting and networking.
3. Product Knowledge: Gain a deep understanding of our product and articulate its value propositions to potential clients.
4. Client Relationship Management: Build and maintain strong relationships with key decision-makers, providing exceptional customer service.
5. Consultative Selling: Conduct needs assessments and present tailored solutions to address clients' requirements.
6. Pipeline Management: Efficiently manage the sales pipeline, prioritize leads, and update CRM systems.
7. Collaboration: Work closely with cross-functional teams to ensure alignment and support for sales initiatives.
Qualifications:
- Master's degree in Business Administration or related field.
- Proven track record in B2B sales, preferably in healthcare or technology.
- Strong communication and negotiation skills.
- Ability to work independently and in a fast-paced environment.
- Familiarity with medical imaging or healthcare IT solutions is a plus.
- Proficiency in CRM software and Microsoft Office Suite.
Join us in revolutionizing healthcare technology. Apply now with your resume and cover letter.
- Handling Survey Scripting Process through the use of survey software platform such as Toluna, QuestionPro, Decipher.
- Mining large & complex data sets using SQL, Hadoop, NoSQL or Spark.
- Delivering complex consumer data analysis through the use of software like R, Python, Excel and etc such as
- Working on Basic Statistical Analysis such as:T-Test &Correlation
- Performing more complex data analysis processes through Machine Learning technique such as:
- Classification
- Regression
- Clustering
- Text
- Analysis
- Neural Networking
- Creating an Interactive Dashboard Creation through the use of software like Tableau or any other software you are able to use.
- Working on Statistical and mathematical modelling, application of ML and AI algorithms
What you need to have:
- Bachelor or Master's degree in highly quantitative field (CS, machine learning, mathematics, statistics, economics) or equivalent experience.
- An opportunity for one, who is eager of proving his or her data analytical skills with one of the Biggest FMCG market player.
Role of a Quantitative Trader
Role and Responsibilities:
*Candidate is expected to have a rigorous quantitative aptitude and go-get attitude.
*Candidate will be monitoring closely quantitative models in Derivatives markets and manage the Risk of its open Positions
Requirements:
Education (Candidate should satisfy one of the following)
B.Sc./M.Sc. Mathematics or B.Sc./M.Sc. Statistics from a reputed college with good grades
B.Tech with good grades and strong quantitative aptitude
CFA/FRM Level 1 cleared
Any other degree with Financial Derivatives as a subject and through knowledge of Options Greeks (Portfolio Level, Risk Management, Hedging)
Preferences:
Following skill sets are not required but candidate will get preference if he/she possesses any of the following:
Working knowledge of python for historical data analysis or working on real-time analytics getting feed from a web API (Data structures, numpy, scikit-learn, tensor flow)
MATLAB/R for Time series analysis
Knowledge of AFL ( Amibroker Formula Language)
Benefits and Advantages for Candidate:
Steep learning curve
Extensive training on mathematics of derivatives market
Dynamic work environment.
Merit based growth
Quarterly bonuses Based on Performance post training period (where bonus can surpass the base salary)
Pay Structure:
Extensive training period(probation period) of 3 months(Stipend Paid during training period INR 20,000)
Pay Structure post the training period:
Base Salary of 5 Lacs p.a + Performance Bonuses
Working Hours:
We neither believe in staying unnecessary in office if there's nothing productive to be done nor do we believe in long unproductive lunch breaks.
Standard Market Hours : 8:45 – 5.00 p.m
Training Pre and Post market hours










