OUR CLIENT is ranked #1 on Glassdoor's 2023 Best Place to Work List. Here's why. At OUR CLIENT's mission is to be living proof you can win in business while being human-first. OUR CLIENT's industry-leading platform helps companies of all sizes and industries build durable businesses. OUR CLIENT offers a powerful set of customer success, product, community and education solutions that enable businesses to scale efficiently, create alignment, and have a holistic view of their customers all of which help increase product adoption, prevent churn, and grow renewals and expansions. Hundreds of companies use our software, including nearly 200 publicly traded organizations and industry leaders such as GE Digital, SAP Concur, and Zendesk. We have offices in the US, UK, Netherlands, Israel, Japan, and India. OUR CLIENT joined the Vista Equity Partners portfolio in 2020. In 2021, we won their Excellence in Engineering award for our product and engineering advancements. OUR CLIENT has also been named one of the top 100 private cloud companies by Forbes, one of the fastest-growing private companies in America by Inc. Magazine, and one of 20 Great Workplaces in Tech by Fortune Magazine. With diversity and inclusion at the forefront of our values, OUR CLIENT promotes a culture that celebrates diversity and inclusiveness regardless of but not limited to, race, gender, sexual orientation, family status, religion, ethnicity, national origin, physical disability, veteran status, or age. Job Summary: OUR CLIENT is building something new: Managed AI Services, a category-defining initiative focused on delivering high-value, AI-augmented outcomes. Unlike traditional services, this function is designed and operated as a scalable capability that integrates human expertise and oversight with large language models (LLMs) and AI Agents to deliver repeatable, premium experiences across the post-sales customer journey. This function represents a new category of value creation at OUR CLIENT distinct from traditional servicesenabling us to offer outcomes with the scale, efficiency And repeatability of SaaS offering while retaining the customizability and white glove quality Office Service Offering quality that our customers expect. The group will serve as a central operational layer for AI-augmented work, partnering closely with product, engineering, customer success, education, and analytics teams. As an Applied AI Engineer (Models, Prompts, Reasoning), you will operate at the intersection of model capabilities, reasoning frameworks, agentic behavior, and AI feature delivery. You won’t just refine large language models—you’ll design and build end-to-end LLM-based agentic applications, from model selection and evaluation to multi-step reasoning and prompt chaining, all the way to integrating intelligent decision-making flows into production systems. This role requires a strong technical foundation in AI/ML, deep learning, and NLP, along with hands-on experience in prompt engineering, retrieval-augmented generation (RAG), and function calling to optimize AI performance. What you will do: Evaluate and integrate LLMs from OpenAI, Anthropic, Meta (Llama 2), and other vendors. Develop multi-step reasoning and prompt-chaining frameworks for complex AI applications. Optimize AI models by tuning temperature, top_p, and frequency penalties for high-quality outputs. Implement retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, FAISS, or Weaviate. Design and orchestrate multi-model ecosystems that ensure factual accuracy and contextual adaptability. Utilize self-critique and reflection prompts to improve model responses and reduce hallucinations. Collaborate cross-functionally with Product, Engineering, and Research teams to deploy AI-driven solutions at scale. Continuously test and refine LLM behaviors using A/B testing, model evaluation frameworks, and feedback loops. Who you are: 5–8+ years of experience in AI, Machine Learning, and Natural Language Processing (NLP). 2–3+ years of hands-on experience working with LLMs and AI-powered applications. Strong knowledge of LLM architectures, including GPT-4, Claude, Llama 2, Mistral, and fine-tuning methodologies. Expertise in prompt engineering, function calling, and agentic workflows. Experience with retrieval-augmented generation (RAG) and integrating vector databases into AI pipelines. Proficiency in Python, LangChain, Hugging Face, OpenAI SDKs, and AI orchestration tools. Familiarity with multi-model orchestration, decision logic, and self-correcting AI behaviors. Strong understanding of LLM safety, bias mitigation, and ethical AI development. Experience with deploying AI systems in production, API integration, and cloud-based AI solutions. Bonus Skills (Nice to Have): Hands-on experience fine-tuning open-source LLMs. Knowledge of advanced reasoning frameworks (Chain-of-Thought, Tree of Thoughts). Experience working with LLM evaluation metrics (BLEU, perplexity, win-rate comparisons). Job Benefits At OUR CLIENT, the mission is to be living proof you can win in business while being human first. Your job should never be a barrier to your happiness—it should be an avenue to achieve it. At OUR CLIENT, we’re passionate about achieving our goals—at the office and everywhere—and we work every day to create an environment that nurtures our best selves. Here are OUR CLIENT’s 5 core values Golden Rule : We try to practice the Golden Rule by exercising reliability, trust and giving back to each other and our community. Success for All : We believe in success for our stakeholders—whether our teammates, clients or shareholders—comes with a sincere focus on continuous learning, selfless teaching and making a difference in each other’s lives. Child-like Joy : We aspire to experience child-like joy in our work and lives, injecting a spirit of passion, optimism and laughter into everything that we do. Shoshin : We believe in a beginner’s mind. Don’t surround yourself with people like you--diversity breeds creativity. Stay Thirsty, My Friends : We believe in a totally internally-driven strive for greatness. The solution is to think more, not do more. Why You’ll Love It Here Our Attitude: We’ve created a new category from scratch and we continue to be the thought leader in Customer Success. Our Leadership: We offer the leading tech solution for driving Customer Success. Our ROI: Reduce customer churn, increase up-sell, and improve customer satisfaction. Our Technology: Our technology allows companies to drive retention and growth by delivering the value customers demand. Our Impact: In addition to helping companies grow, we’ve committed to $100 million in wage expansion for underrepresented groups over the next few years. Our Clients: Big companies like Box, Adobe, Marketo, and many others. Our Team: Our team is composed of innovative Customer Success thought leaders and experts in their field from various industries.

FP&A Analyst / Senior Analyst Location : Hyderabad Employment : Full-time and Onsite About the Role This role reports to the Director of FP&A and is a key member of the Finance team. The mission of their team is to enable strategic, executive, and Board-level, as well as tactical, decision making for the company through financial modelling, fact-based analyses, and interpretation of key business and financial trends. They are the analytical backbone of the company and provide strategic insights in planning the future growth and strategy of the company from a financial point of view while serving as the interface between Finance and the rest of business. The FP&A position will be a critical member of the team responsible for managing annual planning, consolidating and forecasting financials including expense and headcount. What You'll Do Lead the development of annual operating plans, quarterly, and monthly financial forecasts, conducting ongoing analysis of actuals to ensure alignment with strategic objectives. Collaborate closely with accounting and business teams during monthly/quarterly close processes to ensure accurate financial reporting and compliance with regulatory standards. Assess business scenarios to support investment prioritization and resource allocation decision-making, leveraging data-driven insights to optimize outcomes. Develop and maintain weekly, monthly, and quarterly dashboard reports to provide actionable insights to key stakeholders and drive informed decision-making. Provide support to business owners in headcount and capacity planning initiatives, utilizing financial analysis to optimize resource allocation and enhance operational efficiency. Conduct monthly variance analysis and drive continuous improvements in forecast accuracy through proactive performance monitoring and adjustment. Transform complex financial data into timely, actionable information that guides leaders in strategic decision-making and supports organizational growth objectives. Foster successful collaboration with cross-functional teams, including Accounting, HR, and various business functions, to achieve shared objectives and drive organizational success. Conduct ad hoc analysis and reporting as needed to support strategic initiatives and address evolving business needs. Experience in developing data models and structures within FP&A systems to support complex financial analyses and forecasting will be an added advantage. What We're Looking For Minimum of 3 - 6 years of FP&A or Business Finance experience at a leading technology company; SaaS experience preferred. An understanding of financial planning, forecasting, and reporting. Strong Financial modelling skills and quantitative analysis experience. Ability to collaborate constructively with business partners and finance colleagues. Understanding of common metrics and cost drivers for SaaS companies. Ability to think creatively, highly-driven, and self-motivated. Strong written & verbal communication skills. Expert in Excel and Google Sheets; can maintain complex spreadsheets, comfortable with different modelling techniques and shortcuts. CA or CFA or ACCA or MBA are a plus. Experience working with Adaptive Insights, Planful, Anaplan or similar EPM tools will be an added advantage and not a must.

Job Title: Node.js Backend Developer (NestJS / Next.js / AWS) About the Role Were looking for a passionate and skilled Node.js Backend Developer with hands-on experience in NestJS, Next.js, and cloud technologies (preferably AWS) . Youll be joining a high-impact engineering team that values clean code, scalability, and performance. This role is ideal for developers who are not only technically proficient but also great communicators, problem solvers, and enthusiastic collaborators. Key Responsibilities Design and build scalable and high-performance backend services using Node.js and NestJS Collaborate with frontend developers working with Next.js for seamless API integration Write clean, testable, and well-documented code using modern JavaScript (ES6+) Contribute to architectural decisions and ensure backend services are optimized for performance Implement and maintain unit/integration tests using frameworks like Jest, Mocha, or Jasmine Work closely with DevOps and QA to ensure smooth and reliable production deployments Develop and maintain CI/CD pipelines, Dockerized applications, and cloud infrastructure Work with relational databases (MySQL) along with prisma with a strong grasp of query optimization and schema design Engage actively in project discussions, offering insight, curiosity, and collaborative solutions Required Skills & Experience Technical Expertise Strong proficiency in Node.js and JavaScript (ES6+ ) Experience with NestJS framework Familiarity with Next.js and full-stack development concepts Solid experience with cloud platforms (AWS, Azure, or GCP), particularly: Lambda, S3, EC2, RDS, and other common AWS services Strong foundation in unit testing, testable code practices, and TDD Familiarity with Docker and container orchestration tools like Kubernetes Soft Skills & Professional Traits Excellent communication skills : articulate complex concepts clearly and concisely Enthusiastic, collaborative, and eager to learn and grow Positive attitude and a constructive approach to challenges Proactive in asking questions, suggesting improvements, and taking ownership Strong sense of adaptability in fast-paced and evolving environments Ability to work independently and within a team Bonus Points Experience with monorepo architectures Contributions to open-source projects or technical blogs Experience in highly regulated or enterprise-grade systems Familiarity with GraphQL, WebSockets, or Event-Driven Architectures