We are seeking a dedicated and proactive Customer Success Manager to join our startup. The ideal candidate will have a strong understanding of customer success processes and a willingness to learn and set up these processes from end to end. You will be responsible for nurturing relationships with our clients and ensuring their success with our products and services. Responsibilities Develop and implement customer success strategies to enhance client satisfaction and retention Act as the primary point of contact for clients, addressing their needs and concerns promptly Monitor customer health metrics and proactively engage with clients to ensure they are achieving their desired outcomes Collaborate with cross-functional teams to improve product offerings based on customer feedback Conduct regular check-ins and business reviews with clients to assess their satisfaction and identify opportunities for growth Create and maintain documentation related to customer success processes and best practices Train and onboard new clients, ensuring they understand how to utilize our products effectively Analyze customer data to identify trends and insights that can inform future strategies Qualifications Bachelor’s degree in Business, Marketing, or a related field 2+ years of experience in customer success, account management, or a related role Strong communication and interpersonal skills, with the ability to build rapport with clients Excellent problem-solving skills and a proactive approach to addressing client needs Familiarity with customer success software and tools is a plus Ability to work independently and as part of a team in a fast-paced startup environment Must-Have Skills Customer Relationship Management (CRM)Communication Skills Problem-Solving Data Analysis Project Management
As a Senior Software Engineer specializing in building data driven applications, you will play a key role in designing, building, and scaling Senseloaf's AI-powered recruiting platform. You'll work closely with product, design, and engineering teams to turn complex recruiting workflows into simple, intelligent experiences. Key Responsibilities: Develop, improve, and extend Senseloaf's AI applications capabilities. Extend, architect and own the backend infrastructure. Build and scale integrations with a wide range of external platforms and tools. Design and implement REST APIs for our internal backend systems and third-party integrations. Build real-time data flows, event-driven pipelines, and high-performance API systems. Leverage cloud platforms like AWS, utilizing technologies like Docker and Kubernetes to deploy, manage, and scale services securely and efficiently. Rigorously test, validate, and optimize the performance and reliability of features to meet high standards of accuracy, latency, and scalability. Implement clean, maintainable system designs and contribute to a strong engineering culture with code reviews, documentation, and best practices. Set up and maintain CI/CD pipelines to enable fast, safe, and repeatable deployments Working with NoSQL database services like MongoDB and Vector Database. Mentor engineers, conduct code reviews, and shape engineering best practices. Implement SOC2-aligned authentication, encryption, and access control patterns. Lead experiments, prototypes, and rapid iterations on new capabilities. Required Skills & Qualifications: 4-6 years of hands-on experience building and scaling Data driven applications in production. Strong proficiency in Python, building REST APIs and WebSocket-based services, using asynchronous programming patterns and streaming architectures with FastAPI. Experience with scaling background tasks processing using Celery and Redis. Experience deploying Dockerized applications on AWS using services such as Lambda, EC2, EKS, or ECS. Strong familiarity with Git and platforms like Bitbucket. Solid understanding of NoSQL databases (MongoDB preferred) and experience working with vector databases. Ability to work with data for analysis and decision-making, including designing aggregation pipelines, searching and filters queries, writing analytical queries, and developing dashboards/ monitoring systems to derive actionable insights. Experience working with monitoring and logging framework/tools such as open telemetry, Grafana, CloudWatch, or equivalent. (Nice to have) Familiarity with RAG pipelines, prompt engineering, tool-calling/function-calling, and working with proprietary/ open-source LLM models. Why Senseloaf AI Work on cutting-edge AI products. High ownership Direct impact on product direction & roadmap Collaborative, curious, and execution-focused culture