Client Servicing

Key Responsibilities:

Drive B2B sales growth and achieve revenue targets in the industrial segment.

Utilize platform to generate leads and expand business opportunities.

Develop and implement effective sales strategies for market penetration and client acquisition.

Build, mentor, and manage a sales team to enhance performance and productivity.

Identify new business opportunities and maintain strong relationships with existing clients.

Conduct market research to understand industry trends and competitor activities.

Coordinate with internal departments to ensure timely delivery and customer satisfaction.

Travel to meet clients, attend meetings, and explore new business prospects.

Founding Engineer (Bangalore)

The problem:

Business enterprises overpay vendors - on every batch of invoices, on every month because the data that would catch lives in different systems. We are building an AI agent that processes invoices end-to-end, reasons across all the relevant sources, flags genuine discrepancies, and acts - without a human having to investigate each one.

What you will own

Everything engineering. Schema design to deployment to the 2am fix when something breaks in production. There is no tech lead above you. There is no platform team. There is the architecture, you, and the founders. Concretely, this means building:

• A multi-stage agentic pipeline that takes a vendor invoice and produces a structured decision - fully autonomous for clear cases, escalating to human review for genuinely ambiguous ones. We use LangGraph, but if you've built equivalent systems with Temporal, Prefect, or custom state machines with LLM orchestration, that works
• An LLM-powered extraction layer that handles real invoices - scanned PDFs, stamped documents, inconsistent layouts - and returns structured output
• A graph data model that connects invoices to various sources and can traverse those relationships to detect discrepancies
• ERP connectors, GST validation logic, and a write-back layer that closes the loop

What we need

• Strong Python. Async FastAPI, clean service boundaries, tests that actually catch bugs. You have shipped Python backends that handled real production load
• Solid Postgres. Complex queries, schema design, migrations without downtime, row-level security for multi-tenant data. pgvector is a plus - if not, you pick it up fast
• LLM API experience in production. You have called an LLM API for something that real users depended on. You know about structured output, retry logic, cost management, prompt versioning. A side project counts if it was genuinely deployed
• Comfort with graph data models. You understand when a graph is the right structure and when it is not. You do not need deep Neo4j production experience - you need to understand graph relationships conceptually and be willing to learn Cypher. It is a 2-day ramp for the right person
• Working knowledge of deployment. Deployed and operated production workloads on GCP. Cloud Run, Cloud SQL, Cloud Storage, Redis — you're comfortable across the stack. If you've done it on AWS, the translation isn't hard, but GCP is where we are
• You own things. Not "I contributed to" - you designed it, shipped it, and fixed it when it broke. That pattern needs to be visible in your history

Good to have, not mandatory

• Built an agentic pipeline with multiple stages
• Any fintech, P2P domain experience - even tangential
• Worked at a startup with under 20 people
• Has a GitHub, blog, or writeup that shows how you think about a hard technical problem

What you get

• The hardest engineering problem you would have worked on. This is not CRUD with an LLM bolted on
• Real ownership. First engineering hire. Your architectural decisions will be in this product five years from now
• Equity that matters. ESOP - Open to discussion. We are pre-seed - this is a bet, not a guarantee. We will not pretend otherwise
• No meetings tax. You work directly with the founders. The product is specified clearly. You know what you are building and why

Honest about stage: We do not have a production ready infra yet. We have a complete architecture specification and a working prototype. If you need the stability of an established engineering org, this is not the right moment. If you want to build something real from zero and own a meaningful piece of it, it is.

The founders

One of us has spent 20 years building revenue and operational engines at companies where there was no playbook - part of the pilot team that established the world's largest search company's direct sales operations in India, managed global operations for a global mobile advertising platform, scaled a B2C platform to become one of India’s leading edtech platforms and most recently worked on building an enterprise Agentic Voice AI platform. The other has spent 15 years taking AI from demo to production in domains where failure is expensive - voice, lending, and conversational systems across a Series D conversational AI company, a major telco, a Big 4, and a leading NBFC.

Two IIT/IIM alumni who have both watched AI work in enterprise, and know exactly what it takes to get it there. We are not building this product because it sounds interesting. We are building it because we have both sat across the table from CFOs who know they are losing margin and have no tool capable of doing anything about it.

𝗚𝘂𝗮𝗿𝗮𝗻𝘁𝗲𝗲𝗱 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁 𝗳𝗼𝗿 𝘁𝗼𝗽 𝟭𝟬 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗲𝗿𝘀

Courses: Python, React, Node, ROR

Eligibility: BE, BTech, MTech, MCA students

Batch Passout: 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026

1. The Full Stack batch (Python, React, ROR, Node) is starting from 3rd March.

2. The course fee is ₹30,000, which can be paid in 3 installments of ₹10,000 each.

3. The course duration is 3 months.

4. The training will be 8 hours daily, from 10 AM to 7 PM, Monday to Friday.

5. The training will be practical and hands-on, focusing on live projects using laptops and computers (no board teaching).

6. Each batch will have only 20 students, and the top 10 students will get guaranteed placement in BestPeers with a starting salary of ₹15,000 per month (fixed for 1 year, followed by an appraisal).

7. Before joining the course, we will conduct an interview to help identify your weak areas so that you can focus on improving them during the training.

.BUSINESS DEVELOPMENT ASSOCIATE

ROLES

We're seeking a qualified sales associate to sell annual car and bike Scotty subscription products that our customers have grown to rely on. The sales associate will utilize their skills to generate high-quality leads, build strong relationships with customers, and close deals. The ideal candidate has skills and demonstrates the ability to showcase our offerings compellingly. 

Job Location: Work from home

Selection process: HR Round followed by group discussion and sales manager round.

Qualification: Any Graduate/Post Graduate

Salary offered: As per industry standards

Working days: 6 days          Sunday is off

Shifts:10:00am -7:00pm

Mandatory language: English 

Laptop/wi-fi: candidates are to use their own laptops,

Additional Compensation: If applicable, this will be decided on the basis of your designation.

Key responsibilities:

1. Creating an inspiring team environment with an open communication culture

2. Setting clear team goals

3. Oversee day-to-day operation

4. Monitor team performance and report

5. Motivate team members

6. Generate sales through customer referrals

7. Review the sales team performance and explore sales improvement initiatives to achieve the sales targets for the project

8. Conduct sales review meetings with the sales team on a periodic basis

9. To recruit good quality prospective sales candidate and ensure that they are completing probation in order to achieve the sales target set by the company

Job Description:

Engage in code design, testing, integration, deployment, and enhancements

Write high-quality code and take responsibility for tasks

Solve performance bottlenecks

Communicate and collaborate with product manager, QA, and UI/UX teams

Deliver with quality, on-time in a fast-paced start-up environment

Have a strong sense of code quality

Candidate Profile:

Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)

At least 5+ years of relevant experience as a back-end engineer

Excellent Java and object-oriented development skills

Experience in building and scaling microservices

Strong problem-solving skills, technical troubleshooting, and diagnosing

Solid knowledge of RDBMS and NoSQL technologies

Experience in developing back-ends for enterprise systems

Knowledge of debugging performance and optimization techniques

Experience in Java, Mongo, MySQL, AWS technologies, ELK stack, Spring boot, Kafka

Good knowledge of cloud technologies eg. AWS

Demonstrated ability to deliver in a fast-paced environment