Location: Remote (India); Chennai preferred Company: Neodonya Recruit About Neodonya Recruit: Neodonya is transforming technical hiring. Our platform uses semantic CV matching, AI avatars for interviews, and competency-based evaluation to help companies hire better, faster, and smarter. We combine React-based frontend, AI-driven logic, and video workflows into a seamless experience for candidates and recruiters. Role Overview: We’re looking for a Software Engineer who can own our codebase and take it to the next level. This means ensuring a rock-solid production environment, managing Git branches and deployments, and contributing directly to feature development. You'll work across our React-based frontend , AI components (LLMs, RAG), and backend services to create a fast, reliable, and intelligent hiring platform. What You’ll Do: Own codebase reliability : Ensure that the production branch is stable, scalable, and well-documented. Write code that ships : Design and implement new features in React and backend components. Architect for scale : Proactively improve system design and modularity to handle growing usage. Integrate AI tools : Work with large language models (LLMs), RAG pipelines, and other AI tools. Manage releases : Oversee Git workflows, pull requests, commits, and CI/CD pipelines. Solve problems quickly : Debug and resolve live issues with urgency and discipline. Collaborate with the founding team to prioritize technical debt vs. new features. You’ll Succeed If You Have: 3+ years of full-stack or frontend engineering experience. Strong experience with React (Hooks, component architecture, performance tuning). Experience deploying production systems with reliability and Git best practices. Comfort working with APIs, databases , and Node.js or similar backend environments. Understanding of LLMs (e.g. OpenAI, LangChain) and how to build with RAG models. A product mindset — you care about the end user experience. Bonus Points For: Unity or video integration experience. Experience with Firebase or cloud functions. Familiarity with prompt engineering or vector database querying. Startup experience or having shipped products from scratch. Why Join Neodonya? This is a chance to shape an ambitious product at the intersection of AI and recruitment. We’re already helping hiring teams cut time-to-hire by 70% — and with your help, we’ll go even further. If you care about clean code, real impact, and building what matters — we’d love to meet you. Show more Show less

We're Hiring for a Client (leading FinTech startup backed by reputed global and regional VCs): Customer Success Manager Location: Gurugram Key Responsibilities Strategic CS Development: Craft and implement cohesive CS strategies tailored to critical stages of the customer journey, including upcoming renewals and QBRs/EBRs. Collaborative Insight Sharing: Partner closely with our founding members, providing valuable insights to enhance the overall customer process. Innovative Project Management: Strategically plan and execute new projects to identify areas for increased product usage and adoption. Creative Customer Campaigns: Develop and launch engaging campaigns to educate and nurture customers on the latest product features. Performance Reporting: Regularly report on product adoption, usage, and customer health to our leadership team, ensuring continuous monitoring and delivering actionable insights to stakeholders. Renewal Pipeline Generation: Experiment with diverse approaches to maintain a steady, qualified pipeline of renewals. Key Metric Tracking: Continuously monitor and report on crucial metrics such as renewals, churn rates, and CSAT scores. Operational Oversight: Provide operational oversight to ensure targets and KPIs are met. Best Practice Sharing: Educate clients on best practices to achieve product success. Required Qualifications Experience: 5-8 years of overall experience with at least 5 years in a CS role, preferably in SaaS. Balanced Skill Set: A combination of strategic insight, analytical capability, operational efficiency, effective communication and collaboration skills. Process Expertise: Proficiency in systematic organization and delivering high-quality customer excellence. Data-Driven Approach: Expertise in applying data-oriented methods, adjusting parameters as needed and demonstrating powerful execution abilities. Stakeholder Management: Proven experience in handling various stakeholders, identifying key customers and collaborating with multiple teams. Technical Proficiency: Strong knowledge of relevant CS tools and technologies is a significant advantage. Empathy and Relationship Building: A customer-centric mindset with exceptional relationship-building skills. Show more Show less

As a Functional Consultant in Pharma Real-World Evidence (RWE) Epidemiology & Observational Science with 6-10 years of experience in the pharmaceutical or biotechnology industry, particularly in pre-clinical and clinical research and development, your primary role will involve managing scientific research projects, coordinating cross-functional teams, and collaborating with global stakeholders worldwide. Your responsibilities include executing projects, communicating scientific findings effectively, and making data-driven decisions to drive long-term business, financial, and operational outcomes. You will be expected to adhere to the Company's Decision Sciences Lifecycle and methodologies, acting as a strategic transformation partner. Utilizing advanced analytics, machine learning, statistical modeling, and a global delivery model, you will develop data-driven solutions to support growth strategies, identify new business opportunities, and solve complex problems. Your ability to deliver actionable insights through data visualizations, reports, and presentations will be crucial, along with monitoring solution performance and ensuring continuous optimization. Leading offshore teams, including onboarding, mentoring, and performance management, will also be part of your key responsibilities. In terms of domain expertise, you should have hands-on experience or exposure to at least one of the following functional domains: - Epidemiological Study Design & Analysis: Designing and conducting epidemiological studies, proficiency in statistical methods, experience with tools like SAS, R, or Stata, and knowledge of regulatory requirements. - Real-World Evidence (RWE) & Health Outcomes Research: Leveraging real-world data sources, proficiency in health outcomes research, knowledge of advanced analytics, familiarity with standards like OMOP CDM, and expertise in supporting post-marketing surveillance studies. Regarding RWE Epidemiology / Observational Research, essential requirements include expertise in designing and executing epidemiological studies for generating real-world evidence, developing study protocols and statistical analysis plans, constructing cohorts using real-world data sources, and contributing to regulatory documents and scientific publications. Desirable requirements include familiarity with identifying fit-for-purpose RWD sources, developing processes to enhance RWE activities, and knowledge of biomarker or data science project design. Additional competencies in data science, analytics, Agile methodologies, AI/ML tools, data visualization platforms, and cross-disciplinary environments will be advantageous for this role.,