Education Loan Counsellor

Key Responsibilities:

• Counsel prospective students/parents about courses and programs 

• Handle inbound and outbound leads effectively 

• Convert inquiries into enrollments through strong sales techniques 

• Build and maintain relationships with students and clients 

• Achieve monthly and quarterly sales targets 

• Provide accurate information about courses, fees, and career outcomes 

• Maintain records of interactions and follow-ups 

Candidate Requirements:

• Minimum 1 year of experience in the Ed-Tech industry 

• Strong communication and interpersonal skills 

• Proven sales ability and target-driven mindset 

• Ability to handle objections and close deals effectively 

• Comfortable working in a fast-paced environment 

Designation - Product Manager

Experience - 4 to 6 Years

Work Location - Whitefield, Bengaluru

We’re hiring Product Managers to own product lines within our LOS platform end-to-end. You’ll work directly with credit union clients to gather requirements, write user stories, run sprints with your engineering pod, manage vendor integrations, and ship features used by real customers. You’ll also lead full client implementations — from discovery to go-live.

Beyond execution, you’ll help shape the platform roadmap by identifying patterns across clients and driving what should be configurable vs. custom to scale the product. This is a high-ownership, hands-on role — focused on real problem-solving, close collaboration with users and engineers, and making practical trade-offs to deliver impact.

A typical week looks like

• 2-3 client calls with US credit union stakeholders — CXOs, managers, underwriters,
• Act as the bridge between US team & India Engineering team
• Writing PRFAQs, stories and acceptance criteria for upcoming work
• Sprint ceremonies with your engineering pod — planning, grooming, retro
• Coordinating with 2-3 vendor integration teams — API specs, test data, certification
• Ensuring alignment across organisation for delivery for your product line & client implementation

What you'll ship in the first 6 months

• Own a product line end-to-end
• Own a client implementation from requirements through go-live
• Ship features that go live in production for real credit union users
• Manage 3-5 vendor integrations through to QA sign-off
• Run your pod's sprint cycle independently
• Contribute at least one platform-level improvement that benefits all clients

What we're looking for

• Biased for action, grounded in first principles — you ship fast, but you think before you build.
• AI-native — you use AI tools daily to multiply your output, not as a novelty. You write specs faster, research deeper, and make better decisions because AI is part of how you work.
• Comfortable working directly with clients (US business hours overlap required — expect 2-3 late evening calls per week)
• Writes clearly — PRFAQs, story documents, acceptance criteria
• Can own an engineering pod's backlog — sprint planning, grooming, prioritization
• Understands lending workflows — origination, decisioning, underwriting, funding
• Can navigate vendor integrations — read API docs, coordinate with external teams, unblock engineers
• Uses data and judgment to make scope calls fast — you won't have perfect information
• Takes feedback well and gives it directly

Qualifications

Required:

• 3-5 years total experience with at least 2 years in product management
• Lending, banking, or fintech domain experience
• Experience working with engineering teams in an agile environment
• Actively uses AI tools in daily PM work — research, writing, analysis, decision-making
• Familiar with Claude Code to leverage AI & work at 10x productivity
• BTech/BE. MBA preferred.

Preferred / Bonus:

• Familiar with Claude Code to leverage AI & work at 10x productivity
• US lending industry experience
• US indirect auto lending (dealer-lender workflows, RouteOne, DealerTrack)
• US home equity / HELOC product experience
• Credit union operations experience
• Experience with loan origination systems (any vendor)
• Familiarity with core banking integrations (Jack Henry, Fiserv, Corelation)
• Familiarity with credit bureau data (TransUnion, Equifax, Experian)
• Experience with decision engines or business rules platforms

Job Summary: We are seeking a proactive and technically skilled information security (SOC) Engineer/Analyst to monitor, detect, and respond to cybersecurity threats in real-time. The ideal candidate will have strong analytical skills, be detail-oriented, and possess a sound understanding of threat landscapes, SIEM tools, and incident response. The ideal candidate will possess a strong foundational understanding of cybersecurity governance, robust technical skills in security operations, and a commitment to staying abreast of the evolving threat landscape and internal security requirements.

Key Responsibilities

• Monitor security events and alerts from SIEM and other security tools.
• Perform initial triage and investigation of potential threats or anomalous behavior.
• Escalate incidents according to severity and defined procedures.
• Document incidents, provide root cause analysis, and maintain detailed logs.
• Analyze threat intelligence feeds and correlate with internal data.
• Assist in threat hunting and vulnerability management activities.
• Support continuous improvement of SOC processes and playbooks.
• Collaborate with other IT and Security teams for incident resolution.
• Assist in developing and tuning SIEM rules, queries, and dashboards for threat detection.
• Contribute to vulnerability management and secure configuration of internal systems and cloud environments.
• Support the testing and execution of recovery plans for security systems and data.
• Document incident findings, remediation steps, and contribute to post-incident reviews.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, Cybersecurity, or related field.
• 2–5 years of experience in a SOC environment or similar security operations role.
• Familiarity with SIEM tools (e.g., Splunk, QRadar, Sentinel).
• Understanding of TCP/IP, firewalls, IDS/IPS, and common attack vectors.
• Knowledge of malware, phishing, ransomware, and social engineering tactics.
• Hands-on experience with endpoint protection, network monitoring, and forensic tools.
• Excellent communication and documentation skills.
• Preferred Certifications:
• CompTIA Security+ or CySA+
• Vendor-specific SIEM certifications.

Job Title: Sales Associate – VADAI (Value-Aided Delta with Artificial Intelligence)

Location: South India – Preferably Chennai, Bangalore, or anywhere in Tamil Nadu

Type: Full-Time

Compensation: Fixed Monthly Pay + 10% Commission from Second-Month Revenue of Each School Closed

About VADAI

VADAI is an AI-powered education engine designed to transform school learning across India. By measuring a student’s understanding and adapting to their individual pace, VADAI enhances academic growth, ethical learning, and career readiness — far beyond what traditional ERPs or LMS platforms can provide.

Our mission is to make this advanced, AI-driven learning accessible to all — from urban metros to rural and government schools — through smartphones, tablets, and desktops. We're here to build a stronger educational foundation for the future of India.

Key Responsibilities

Identify and visit schools within your territory; pitch to principals or decision-makers in person.

Professionally present printed brochures, demo kits, agreements, and your company credentials during visits.

Clearly explain the benefits of VADAI in a calm, simple tone and secure demo appointments or agreements.

Follow up diligently and help schools feel confident about onboarding.

Maintain and regularly update visit details, status, and contact information in a shared Google Sheet.

Coordinate with internal teams to ensure smooth onboarding and implementation for every school.

Be available on-site during Demo Days, addressing questions from students and teachers.

Incentives & Career Growth

Fixed Monthly Salary to support basic travel and field expenses.

10% Commission on the second-month revenue from each school deal you close.

Top performers will receive a Certificate of Excellence based on number of schools closed, timeline, and rank.

Opportunity to be promoted to Head of Sales or Regional Sales Lead as the company expands into new territories, including universities and pan-India K-12 schools.

What We’re Looking For

Strong verbal communication and interpersonal skills.

Ability and willingness to travel extensively within South India.

Basic comfort with digital tools like Google Sheets, Email, and mobile apps.

A sincere, mission-driven attitude — we want people who believe in improving education in India through innovation and action.

Join Us

Be part of the change. Join VADAI to transform schools, empower students, and build the future of AI in education — one school at a time.

Basic Qualifications:

• 3+ years of non-internship professional software development experience
• Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
• 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.

Additional Job requirements

• BS/MS/PhD in Computer Science/Math or equivalent
• BS in computer science or related field.
• 2+ years of relevant professional software development experience: designing, developing, and delivering software written in Java, C#, or C++, web development.
• Knowledgeable in object-oriented design patterns.
• Experience building highly scalable and distributed systems

Preferred Qualifications

• Experience with service-oriented architecture and application/services development
• Passion for performance debugging and benchmarking

Ability to clearly and concisely communicate with technical and non-technical stakeholders across all levels of the organization

Job Description

The candidates for senior development role will perform the following responsibilities:

• Mentor and lead a team of developers.
• Accept ownership of teams projects and deliverables
• Should derive and design technical specifications from general product requirements.
• Advise ways and means to obtain performance metrics of applications and optimize applications. 
• Experience own and work on end to end on an application.
• Set Milestones and deadline.
• Must possess excellent attention to detail and be able to familiarize and quickly learn new Software/ framework/ languages/ technology with ease.
• Excel in solving complex problems and exhibit independent decision making. 
• Act as an information resource and the subject matter expert for assigned areas of responsibility.
• Experience delivering software in a scrum /agile environment.

• Performing market research.
• Gathering and processing research data.
• Assisting with inventory control.
• Organizing staff meetings and updating calendars.
• Processing company receipts, invoices, and bills.
• Assisting and supporting management.
• Review data for deficiencies or errors, correct any incompatibilities if possible and check output
• Research and obtain further information for incomplete documents
• Apply data program techniques and procedures
• Generate reports, store completed work in designated locations and perform backup operations
• Scan documents and print files, when needed
• Keep information confidential

Job Responsibilities:

• Apply your knowledge of ML and statistics to conceptualise, experiment, develop & deploy machine learning & deep learning systems.
• Understanding the business objectives & defining the right target metrics to track performance & progress.
• Defining & building datasets with the appropriate representation techniques for learning.
• Training & tuning models. Running evaluation & test experiments on the models.
• Build ML pipelines end to end. (Everything MLOps.)
• Building pipelines for the various stages.
• Deploying models.
• Troubleshooting issues with models in production.
• Reporting results of model performance in production.
• Retraining, performance logging & maintenance.
• Help the business with insights for better decision-making. You will build many predictive models for internal business operations
  you will derive insights from the trained models & data to help the product & business teams make better decisions.

Requirements:

• 2+ years of work experience as an ML engineer or Data Scientist with a Bachelors Degree in Computer science or related field
• Theoretical & practical knowledge of Machine Learning, Deep Learning and Statistical methods. (NLP Tasks, Recommender Systems, Predictive Modelling etc)
• Since Pepper is a content company, you will work on many interesting text based problems. Solid understanding of Natural Language Processing techniques with Deep Learning is a must for this role.
• Familiarity with the popular NLP applications and text representation architectures & techniques: text classification, machine translation, named entity recognition, summarisation, question answering, zero-shot learning etc.  Bag of Words, TF-IDF, Word2vec, GloVe, BERT, ELMo, GPT etc.
• Experience with ML frameworks (like Tensorflow, Keras, PyTorch) & libraries like Sklearn.
• Experience with ML infrastructure & shipping models.
• Excellent programming & algorithmic skills. Good understanding of Data Structures and algorithms (fluent in at least one object oriented programming language). Proficiency in Python is a must.
• Strong understanding of database systems & schema design. Proficient in SQL

Please let us know if you are interested in the above opening and if interested please let us know your

Current CTC :

Expected CTC :

Notice Period :

Relevant experience in  Machine Learning :

Relevant experience in Deep Learning:

Relevant experience in NLP Applications:

Regards

Ashwini