About Us: HireQuotient is an AI-first SaaS company focused on reimagining how people hire globally. We have started solving for US-based companies, and currently have clients all across the world. Responsibilities: Collaborate with cross-functional teams to design and develop robust backend solutions. Hands-on experience on MERN stack (MongoDB, Express.js, React, Node.js) to build scalable and efficient applications. Contribute to the entire development lifecycle. Participate in code reviews to ensure code quality and maintainability. Work closely with product managers and other stakeholders to understand and address business needs. Requirements: Bachelor's degree in Computer Science Engineering. 4 - 8 years of proven full-time experience as a Backend Developer. Proficiency in the MERN stack. Experience in developing and maintaining sales enablement platforms or workflows is highly desirable. Work experience, preferably from internet companies, products, or startups Proficiency in the implementation of algorithms and the use of advanced data structures to solve problems in computing. A solid foundation in the principles of computer science is desired. Excellent communication and collaboration abilities. Ability to thrive in a fast-paced, dynamic environment. "What is exciting about this role? We move fast, and hence you learn a lot of exciting stuff on the go. We thrill ourselves in building using the new tech and new tools. You get exposure to using and developing AI-based tools Become a part of a high-growth AI company Company Details/Accomplishments in ~2 years since inception, 1mn$+ ARR - 95% is US-based revenue (one of the few companies to have cracked US GTM so quickly) Strong financials - 22+ months of runway Strong customer love - most of our clients love us - you can check out some LI posts of team members where customers sent wine, introduced to VC, Board, sent emails, etc Show more Show less
Job description About Us: HireQuotient is an AI-first SaaS company focused on reimagining how people hire globally. We have started solving for US-based companies, and currently have clients all across the world. Customer Ops Interns (0–2 Years Experience) Location: In-Office (Bangalore) Our Customer Operations team is growing, and we're looking for driven Customer Ops Interns who thrive on ownership, move fast, and are always on top of their game. If you're someone with 0–2 years of experience, are detail-oriented, and love getting things done efficiently, this could be the perfect role for you! You’ll support our clients in maximising their ROI and improving hiring outcomes - all while helping us scale EasySource, our GenAI-powered talent sourcing platform. What You'll Do: ● Support the Customer Ops team in day-to-day client interactions and operations ● Ensure smooth onboarding, communication, and ongoing support for our US-based clients ● Troubleshoot and resolve operational challenges swiftly and efficiently ● Take complete ownership of assigned tasks - execution, follow-ups, and reporting What We're Looking For: ● 0–2 years of relevant work experience (internships count!) ● A self-starter with a strong sense of ownership and urgency ● Excellent communication and organisational skills ● Ability to work in a fast-paced, high-impact environment Why Join Us? ● Work closely with the founding team and gain hands-on startup experience ● Direct exposure to global clients and real-world operations ● Be part of building a cutting-edge GenAI product in HR tech ● Opportunity to grow into a full-time role Show more Show less
Job Overview As a Customer Success Manager, you will be responsible for managing the post-sale customer relationship, ensuring a smooth onboarding process, and driving the adoption and success of our product, EasySource. You will work closely with our clients to understand their needs, provide tailored solutions, and ensure they are fully equipped to leverage our technology to meet their business goals. This role requires a deep understanding of talent sourcing tools and a proven track record of onboarding clients to complex systems. Key Responsibilities Client Onboarding: Manage the end-to-end onboarding process for new clients, ensuring a seamless transition from sales to implementation. Relationship Management: Build and maintain strong relationships with clients, acting as their primary point of contact and trusted advisor. Product Expertise: Develop a deep understanding of our product EasySource and effectively communicate their value and benefits to clients. Client Training: Conduct training sessions and provide ongoing support to ensure clients are fully equipped to use our products effectively. Issue Resolution: Proactively identify and resolve client issues, working closely with technical support and product teams to ensure timely solutions. Performance Monitoring: Track and analyze client usage and performance metrics to identify opportunities for improvement and growth. Feedback Loop: Gather client feedback and insights to inform product development and enhancements. Renewals and Upselling: Drive client renewals and identify opportunities for upselling additional products and services. Requirements Experience : 3-8 years of experience in customer success, account management, or a related role, preferably within the HRTech industry. HRTech Knowledge: Some understanding of HRTech products like ATS, talent sourcing solutions etc., and their implementation. Client Onboarding: Proven experience in onboarding clients to complex products or systems. Communication Skills: Excellent verbal and written communication skills, with the ability to convey technical information in a clear and concise manner. Relationship Building: Demonstrated ability to build and maintain strong client relationships. Adaptability: Ability to thrive in a fast-paced, dynamic startup environment and manage multiple priorities. Benefits Contract to Hire: Opportunity to transition to a permanent role based on performance. Remote Work: Flexibility to work from anywhere outside the US. Professional Growth: Access to ongoing training and development opportunities. Collaborative Environment: Work with a diverse and talented team committed to client success. HireQuotient is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
At HireQuotient, we’re shaping the future of intelligent systems. As an AI-native company, we are committed to delivering innovative and efficient solutions that cater to the dynamic needs of our clients. More about the company's ethos and projects can be found on our website: www.hirequotient.com. What You’ll Do: Build, train, and productionize ML models for ranking, prediction, and personalization. Design and maintain data pipelines, feature engineering layers, and learning loops using Python. Develop model inference services using FastAPI/Flask and integrate them into backend workflows. Work with embeddings, vector search, and LLM APIs to enhance sourcing intelligence. Implement automated evaluation, monitoring, and retraining workflows for continuous learning. Contribute to backend components involving data ingestion, model-serving APIs, and ETL flows. Optimize MongoDB schemas and prepare feature stores for real-time inference. What We’re Looking For 2-3 years of experience in Data Science or ML Engineering in production environments. Strong expertise with LightGBM/XGBoost, scikit-learn, and Python-based ML stack. Hands-on experience deploying ML models as APIs or microservices. Working knowledge of backend development using Python (FastAPI, Flask) or Node.js. Understanding of embeddings, semantic search, and vector databases. Comfort with MongoDB, data modeling, and pipeline orchestration. Strong debugging, experiment design, and model evaluation skills. Nice to Have Exposure to Infrastructure-as-Code tools Experience with LLMs, rerankers, or recommendation systems. Exposure to MLOps tools (MLflow, W&B) and CI/CD pipelines. Why Join HireQuotient? Work with a team building the next generation of AI-native systems. Contribute to cutting-edge AI workflows in real-world applications. Competitive compensation, ownership opportunities, and growth. A culture of speed, autonomy, and deep technical problem-solving.