Bachelor's degree in Business, Finance, or a related field. · Capable of delivering on multiple competing priorities with little supervision. · Excellent verbal and written communication skills. · This role requires good client-facing skills. · Proven experience as a Business Analyst in the alternative asset and capital market with a focus on Private Credit and Private Equity Fund Operations. · Proficient in the basics of SQL for data analysis. · Excellent communication skills and the ability to collaborate effectively with diverse teams. · Detail-oriented with a focus on accuracy in fund accounting and reporting. · A good knowledge of any ALM tool like JIRA, Rally, Azure Boards etc. · Should be able to work with distributed teams in Agile development environment. Show more Show less

Key Responsibilities Serve as the first-line technical support agent for OWOW customers. Troubleshoot and resolve issues related to our APIs, SDKs, and platform integrations. Liaise between customers and internal engineering teams, clearly communicating technical issues and updates. Take ownership of technical issues and drive them to resolution. Contribute to support documentation and knowledge bases to reduce friction and enable customer self-service. Partner with the sales and product teams to ensure smooth handoff and continued success across the customer lifecycle. Contribute to customer success by supporting key accounts and building long-term relationships. Maintain accurate records in our ticketing system and help improve support documentation. Support onboarding of new customers with technical setup and best practices. Requirements Strong understanding of APIs, SDKs, and developer tools. Familiarity with cloud infrastructure (AWS, Azure, Google Cloud), including hosting and software installation. Prior experience as a software developer or engineer (preferred). Exceptional communication skills with the ability to explain technical concepts clearly to non-technical stakeholders. Proactive, customer-centric mindset with a track record of supporting and retaining key accounts. Excellent problem-solving skills and the ability to independently debug and resolve technical issues. Outstanding communication skills — both written and verbal — to explain complex issues in simple terms. Comfortable working with international customers across time zones. Organized, detail-oriented, and able to manage multiple support tickets and client relationships simultaneously. Preferred Qualifications Experience in B2B SaaS or developer-focused products. Experience with RESTful APIs, WebRTC, or real-time communication platforms. Familiarity with mobile and web development environments (iOS, Android, JavaScript). Knowledge of HIPAA-compliant systems or experience in healthcare tech (a plus). Show more Show less

Responsibilities Build and maintain responsive, high-performance frontends for our AI-driven applications Work closely with backend and AI/ML engineers to integrate APIs, multi-agent systems, and real-time data sources Design intuitive interfaces that make multi-agent systems accessible and user-friendly Develop reusable components and design systems to support rapid iteration and future scalability Optimize frontend performance, ensuring fast load times and smooth interactions Work collaboratively to refine product architecture, user flows, and research-based features Prototype, test, and refine user experiences with quick feedback cycles Implement best practices for accessibility, cross-browser compatibility, and security Requirements 5+ years of experience in frontend development Expertise in JavaScript/TypeScript, React (or similar modern frameworks) Proven experience integrating complex APIs and data-driven UIs Strong understanding of UX/UI principles and building intuitive, engaging interfaces Familiarity with real-time data, dynamic research workflows, and interactive data visualizations Ability to work in a fast-paced, iterative environment with shifting priorities Self-starter mindset with a strong product sense and passion for delightful user experiences Bonus Points Experience working at early-stage startups or as part of a technical founding team Exposure to AI/ML-driven applications, agent-based workflows, or knowledge graphs Familiarity with data visualization libraries (e.g., D3.js, Plotly, Visx) Experience building dashboards, admin tools, or research-focused interfaces Previous experience working with design systems or contributing to UX strategy Show more Show less

Responsibilities: Build multi-agent systems capable of reasoning, tool use, and autonomous action Implement Model Context Protocol (MCP) strategies to manage complex, multi-source context Integrate third-party APIs (e.g., Crunchbase, PitchBook, CB Insights), scraping APIs, and data aggregators Develop browser-based agents enhanced with computer vision for dynamic research, scraping, and web interaction Optimize inference pipelines, task planning, and system performance Collaborate on architecture, prototyping, and iterative development Experiment with prompt chaining, tool calling, embeddings, and vector search Requirements 5+ years of experience in software engineering or AI/ML development Strong Python skills and experience with LangChain, LlamaIndex, or agentic frameworks Proven experience with multi-agent systems, tool calling, or task planning agents Familiarity with Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and multi-modal context handling Experience with browser automation frameworks (e.g., Playwright, Puppeteer, Selenium) Cloud deployment and systems engineering experience (GCP, AWS, etc.) Self-starter attitude with strong product sense and iteration speed Bonus Points Experience with AutoGen, CrewAI, OpenAgents, or ReAct-style frameworks Background in building AI systems that blend structured and unstructured data Experience working in a fast-paced startup environment Previous startup or technical founding team experience Show more Show less

About the Role: We are looking for a detail-oriented and passionate Manual QA Engineer to join our growing engineering team. You will be responsible for testing web and mobile applications, identifying bugs, and ensuring the quality and reliability of our software products before they go live. Key Responsibilities: Review and analyze system specifications and business requirements. Create, update, and execute detailed, comprehensive, and well-structured test plans and test cases. Perform manual testing for web, mobile, and backend services. Identify, document, and track bugs using bug tracking tools (e.g., Jira, Bugzilla). Collaborate with developers, product managers, and other QA team members to ensure quality standards are maintained. Perform regression, functional, integration, and exploratory testing. Provide clear documentation on test cases, test results, and defect reports. Participate in requirement reviews and design discussions to ensure test coverage. Suggest process improvements and work towards automation in the long term. Requirements: Bachelor’s degree in Computer Science, Engineering, or related field. 3+ years of experience in manual software testing. Strong knowledge of SDLC and STLC. Experience with test case management tools (e.g., TestRail, Zephyr). Familiarity with Agile/Scrum methodologies. Strong analytical and problem-solving skills. Excellent verbal and written communication skills. Attention to detail and a passion for quality. Show more Show less

Key Responsibilities Develop, maintain, and improve QuickBlox's corporate website. Collaborate with designers, marketers, and backend developers to implement new features and optimize web performance. Write clean, well-documented, and efficient code using HTML, CSS, and JavaScript. Optimize website loading speed and performance, and ensure responsive web pages work on a variety of web browsers and mobile devices. Troubleshoot and resolve website issues, performing regular updates and maintenance. Maintain security best practices and ensure compliance with industry standards. Build high-converting landing pages that align with marketing campaigns and business objectives. Strategically implement ways to improve and track site performance. Collaborate with SEO specialist to resolve technical SEO issues. Create and maintain WordPress core and plugins updates and periodic backups. Qualifications Proven experience as a Wordpress Web Developer with a strong portfolio showcasing web development projects. Proficiency in HTML, CSS, JavaScript, WordPress, and PHP. Experience with React JS and Node JS would be a plus. Understanding of SEO principles and best practices. Experience with version control system Git. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Knowledge of Google Analytics and Google Tag Manager. What We Offer: Competitive salary. Opportunity to work with a dynamic and innovative team. Professional development and growth opportunities. Flexible working environment with remote work options. A chance to make a significant impact on the growth of a leading technology company. Show more Show less

Key Responsibilities Serve as the first-line technical support agent for customers. Troubleshoot and resolve issues related to our APIs, SDKs, and platform integrations. Liaise between customers and internal engineering teams, clearly communicating technical issues and updates. Take ownership of technical issues and drive them to resolution. Contribute to support documentation and knowledge bases to reduce friction and enable customer self-service. Partner with the sales and product teams to ensure smooth handoff and continued success across the customer lifecycle. Contribute to customer success by supporting key accounts and building long-term relationships. Maintain accurate records in our ticketing system and help improve support documentation. Support onboarding of new customers with technical setup and best practices. Requirements Strong understanding of APIs, SDKs, and developer tools. Familiarity with cloud infrastructure (AWS, Azure, Google Cloud), including hosting and software installation. Prior experience as a software developer or engineer (preferred). Exceptional communication skills with the ability to explain technical concepts clearly to non-technical stakeholders. Proactive, customer-centric mindset with a track record of supporting and retaining key accounts. Excellent problem-solving skills and the ability to independently debug and resolve technical issues. Outstanding communication skills — both written and verbal — to explain complex issues in simple terms. Comfortable working with international customers across time zones. Organized, detail-oriented, and able to manage multiple support tickets and client relationships simultaneously. Preferred Qualifications Experience in B2B SaaS or developer-focused products. Experience with RESTful APIs, WebRTC, or real-time communication platforms. Familiarity with mobile and web development environments (iOS, Android, JavaScript). Knowledge of HIPAA-compliant systems or experience in healthcare tech (a plus). Show more Show less

Role Summary We’re hiring a Founding Full-Stack AI/ML Engineer to help build and scale the backbone of our AI system. You’ll lead development across agent orchestration, tool execution, Model Context Protocol (MCP), API integration, and browser-based research workflows. You’ll work closely with the founder on hands-on roadmap development, rapid prototyping, and fast iteration cycles to evolve the product quickly based on real user needs. Responsibilities Build multi-agent systems capable of reasoning, tool use, and autonomous action Implement Model Context Protocol (MCP) strategies to manage complex, multi-source context Integrate third-party APIs (e.g., Crunchbase, PitchBook, CB Insights), scraping APIs, and data aggregators Develop browser-based agents enhanced with computer vision for dynamic research, scraping, and web interaction Optimize inference pipelines, task planning, and system performance Collaborate on architecture, prototyping, and iterative development Experiment with prompt chaining, tool calling, embeddings, and vector search Requirements 5+ years of experience in software engineering or AI/ML development Strong Python skills and experience with LangChain, LlamaIndex, or agentic frameworks Proven experience with multi-agent systems, tool calling, or task planning agents Familiarity with Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and multi-modal context handling Experience with browser automation frameworks (e.g., Playwright, Puppeteer, Selenium) Cloud deployment and systems engineering experience (GCP, AWS, etc.) Self-starter attitude with strong product sense and iteration speed Bonus Points Experience with AutoGen, CrewAI, OpenAgents, or ReAct-style frameworks Background in building AI systems that blend structured and unstructured data Experience working in a fast-paced startup environment Previous startup or technical founding team experience This is a unique opportunity to work directly with an industry leader in AI to build a cutting-edge, next-generation AI system from the ground up. Show more Show less

Minimum of 5+ years as a developer using Javascript and SQL Excellent communications, written or verbal Working hours 7AM-1PM PT Must be very proficient in the following 5+ years working with Oracle SQL, PL/SQL SQL, know how to write complex queries, WITHOUT ORM node, express, jwt react, next stylesheets or styled-components or css deploy node/express, react/next to linux environments git actions, proper git usage  Job duties Create and maintain quality frontend/backend components Troubleshoot issues with frontend backend code Troubleshoot with db operations Troubleshoot deployment issues Delivery of new components/updates or migrations Other areas must be willing to take charge of situations and follow through must be willing to learn Java must be creative and resolve complex issues Show more Show less

Role Summary We’re hiring a Founding Full-Stack AI/ML Engineer to help build and scale the backbone of our AI system. You’ll lead development across agent orchestration, tool execution, Model Context Protocol (MCP), API integration, and browser-based research workflows. You’ll work closely with the founder on hands-on roadmap development, rapid prototyping, and fast iteration cycles to evolve the product quickly based on real user needs. Responsibilities Build multi-agent systems capable of reasoning, tool use, and autonomous action Implement Model Context Protocol (MCP) strategies to manage complex, multi-source context Integrate third-party APIs (e.g., Crunchbase, PitchBook, CB Insights), scraping APIs, and data aggregators Develop browser-based agents enhanced with computer vision for dynamic research, scraping, and web interaction Optimize inference pipelines, task planning, and system performance Collaborate on architecture, prototyping, and iterative development Experiment with prompt chaining, tool calling, embeddings, and vector search Requirements 5+ years of experience in software engineering or AI/ML development Strong Python skills and experience with LangChain, LlamaIndex, or agentic frameworks Proven experience with multi-agent systems, tool calling, or task planning agents Familiarity with Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and multi-modal context handling Experience with browser automation frameworks (e.g., Playwright, Puppeteer, Selenium) Cloud deployment and systems engineering experience (GCP, AWS, etc.) Self-starter attitude with strong product sense and iteration speed Bonus Points Experience with AutoGen, CrewAI, OpenAgents, or ReAct-style frameworks Background in building AI systems that blend structured and unstructured data Experience working in a fast-paced startup environment Previous startup or technical founding team experience This is a unique opportunity to work directly with an industry leader in AI to build a cutting-edge, next-generation AI system from the ground up.

Responsibilities: Build multi-agent systems capable of reasoning, tool use, and autonomous action Implement Model Context Protocol (MCP) strategies to manage complex, multi-source context Integrate third-party APIs (e.g., Crunchbase, PitchBook, CB Insights), scraping APIs, and data aggregators Develop browser-based agents enhanced with computer vision for dynamic research, scraping, and web interaction Optimize inference pipelines, task planning, and system performance Collaborate on architecture, prototyping, and iterative development Experiment with prompt chaining, tool calling, embeddings, and vector search Requirements 5+ years of experience in software engineering or AI/ML development Strong Python skills and experience with LangChain, LlamaIndex, or agentic frameworks Proven experience with multi-agent systems, tool calling, or task planning agents Familiarity with Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and multi-modal context handling Experience with browser automation frameworks (e.g., Playwright, Puppeteer, Selenium) Cloud deployment and systems engineering experience (GCP, AWS, etc.) Self-starter attitude with strong product sense and iteration speed Bonus Points Experience with AutoGen, CrewAI, OpenAgents, or ReAct-style frameworks Background in building AI systems that blend structured and unstructured data Experience working in a fast-paced startup environment Previous startup or technical founding team experience

Position Summary The ideal candidate will play a role in the development of multiple parts of the business by analyzing past, current, and future business trends. This individual will establish strategies and solutions to achieve desired outcomes and implement these solutions. He / She will often work cross-functionally with internal business units in order to understand the challenges that these teams are facing and provide solutions to these groups. Essential Job Functions Candidate will responsible for leading a BA team ensuring that project deliverables are completed on time, within budget, and to the highest quality standards • Engages with prospective and current clients and business partners to understand workflows and client needs. • Work along with the Subject Matter Experts in the Alternative Assets, Private Credit Market to carry out business transformation assessments. • Conduct Current State vs Future State Assessments of business systems. • Be able to define and leverage technology to develop and enhance business applications and processes. • Be able to document business requirements through journey and story mapping and epic and story writing. • Designs with actionable acceptance criteria. • Breaks down complex business problems by understanding business needs and crafting an understanding of how digital solutions meet those needs. • Influences and understands the priority of components to complete a program. • Maintains backlogs to understand expected outcomes for products. • Analyzes and details current business and system interrelation workflows. • Identifies opportunities to meet project objectives and makes recommendations for future approaches to achieve business outcomes. • Works with Scrum Master to organize and prioritize steps to be taken to remedy issues. • Develops user definitions, use cases, and workflow diagrams to illustrate business problems. • Participates in business acceptance testing and works with developers to triage pre and post code release defects. • Works with key business partners - performance delivery, operations, and client implementations - to ensure product implementation and readiness. • Supports activities of other team members when required. • Diagnose the complexities of Alternative Asset Operations related to the conclusion of projects. • Bring Techno-Functional expertise to combine functional knowledge in brainstorming solutions with the technical team. Mandatory Requirement on Domain Understanding: • Private Equity Fund Operations: Private Equity fund accounting cycle, including Position, Cash, reconciliations, pricing, valuations, Accruals, GAV, NAV, fee calculations, P&L allocations, and investor reporting. Understanding of compliance and regulations governing Private Equity fund accounting. • Alternative Investment Management : Private Credit, Alternative investment strategies, Understanding of Asset Classes • End-to-End Fund Accounting : End-to-End Fund Accounting processes, • Capital Markets Expertise: Demonstrate a deep understanding of Capital Markets, specifically in Private Credit and Private Equity. Required Education, Skills and Experience • 15+ years of Experience. • Masters degree in Business, Finance, or a related field. • Capable of delivering on multiple competing priorities with little supervision. • Excellent verbal and written communication skills. • This role requires good client-facing skills. • Proven experience as a Business Analyst in the alternative asset and capital market with a focus on Private Credit and Private Equity Fund Operations. • Proficient in the basics of SQL for data analysis. • Excellent communication skills and the ability to collaborate effectively with diverse teams. • Detail-oriented with a focus on accuracy in fund accounting and reporting. • A good knowledge of any ALM tool like JIRA, Rally, Azure Boards etc. • Should be able to work with distributed teams in Agile development environment. Preferred Education, Skills and Experience • A relevant certification from a reputed institute or agency • A good knowledge of any ALM tool like JIRA, Rally, Azure Boards etc. • Should be able to work with distributed teams in Agile development environment. What’s on offer • Competitive and above market salary. • Hybrid work schedule. • Standard equipment in the office Including equipment for your home office. • Opportunity to get exposure and technology experience in global financial markets. • Direct interaction with client teams in New York and London

We’re looking for a bright, energetic, and tech-savvy individual to join our team in a hybrid role across project management, customer onboarding, technical support, and customer success . You’ll work across our suite of communication and AI products— Q-Consultation , and our Smart Chat Assistant —supporting healthcare and enterprise clients around the world. This is a great opportunity for someone with strong English skills, curiosity about technology and AI, and a proactive, self-starting attitude. You don’t need to be an engineer, but you should be comfortable working with SaaS tools and eager to learn about APIs, chatbots, and teleconsultation platforms. If you’re looking to grow into a product, technical, or customer-facing leadership role, we’d love to hear from you. Key Responsibilities Manage onboarding of new clients from kickoff to deployment Provide first-line technical support and troubleshoot issues via chat, email, or video Coordinate projects across internal teams and clients, ensuring timelines are met Deliver product training and create support documentation as needed Monitor customer usage and proactively assist in adoption and satisfaction Capture client feedback to inform product improvements and AI workflows Support demos, trials, and pilot programs Ideal Candidate Excellent spoken and written English Strong communication and organizational skills Comfortable with SaaS tools, APIs, and cloud-based platforms (or quick to learn) Curious about AI and excited to work with chatbots, teleconsultation, and communication SDKs Independent, motivated, and able to manage tasks with minimal supervision Prior experience in a support, CS, or tech coordination role is a bonus Why Join Us? Work with cutting-edge communication and AI tools in healthcare and beyond Learn across multiple functions and grow into a product, CS, or technical lead role Join a global, remote-first team building impactful solutions for real-world problems

Responsibilities Build multi-agent systems capable of reasoning, tool use, and autonomous action Implement Model Context Protocol (MCP) strategies to manage complex, multi-source context Integrate third-party APIs (e.g., Crunchbase, PitchBook, CB Insights), scraping APIs, and data aggregators Develop browser-based agents enhanced with computer vision for dynamic research, scraping, and web interaction Optimize inference pipelines, task planning, and system performance Collaborate on architecture, prototyping, and iterative development Experiment with prompt chaining, tool calling, embeddings, and vector search Requirements 5+ years of experience in software engineering or AI/ML development Strong Python skills and experience with LangChain, LlamaIndex, or agentic frameworks Proven experience with multi-agent systems, tool calling, or task planning agents Familiarity with Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and multi-modal context handling Experience with browser automation frameworks (e.g., Playwright, Puppeteer, Selenium) Cloud deployment and systems engineering experience (GCP, AWS, etc.) Self-starter attitude with strong product sense and iteration speed Bonus Points Experience with AutoGen, CrewAI, OpenAgents, or ReAct-style frameworks Background in building AI systems that blend structured and unstructured data Experience working in a fast-paced startup environment Previous startup or technical founding team experience

Key Responsibilities Develop, maintain, and improve QuickBlox's corporate website. Collaborate with designers, marketers, and backend developers to implement new features and optimize web performance. Write clean, well-documented, and efficient code using HTML, CSS, and JavaScript. Optimize website loading speed and performance, and ensure responsive web pages work on a variety of web browsers and mobile devices. Troubleshoot and resolve website issues, performing regular updates and maintenance. Maintain security best practices and ensure compliance with industry standards. Build high-converting landing pages that align with marketing campaigns and business objectives. Strategically implement ways to improve and track site performance. Collaborate with SEO specialist to resolve technical SEO issues. Create and maintain WordPress core and plugins updates and periodic backups. Qualifications Proven experience as a Wordpress Web Developer with a strong portfolio showcasing web development projects. Proficiency in HTML, CSS, JavaScript, WordPress, and PHP. Experience with React JS and Node JS would be a plus. Understanding of SEO principles and best practices. Experience with version control system Git. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Knowledge of Google Analytics and Google Tag Manager. What We Offer: Competitive salary. Opportunity to work with a dynamic and innovative team. Professional development and growth opportunities. Flexible working environment with remote work options. A chance to make a significant impact on the growth of a leading technology company.

We’re hiring a Founding AI Engineer to help build and scale the backbone of our AI system. You’ll lead development across agent orchestration, tool execution, Model Context Protocol (MCP), API integration, and browser-based research workflows. You’ll work closely with the founder on hands-on roadmap development, rapid prototyping, and fast iteration cycles to evolve the product quickly based on real user needs. Responsibilities Build multi-agent systems capable of reasoning, tool use, and autonomous action Implement Model Context Protocol (MCP) strategies to manage complex, multi-source context Integrate third-party APIs (e.g., Crunchbase, PitchBook, CB Insights), scraping APIs, and data aggregators Develop browser-based agents enhanced with computer vision for dynamic research, scraping, and web interaction Optimize inference pipelines, task planning, and system performance Collaborate on architecture, prototyping, and iterative development Experiment with prompt chaining, tool calling, embeddings, and vector search Requirements 5+ years of experience in software engineering or AI/ML development Strong Python skills and experience with LangChain, LlamaIndex, or agentic frameworks Proven experience with multi-agent systems, tool calling, or task planning agents Familiarity with Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and multi-modal context handling Experience with browser automation frameworks (e.g., Playwright, Puppeteer, Selenium) Cloud deployment and systems engineering experience (GCP, AWS, etc.) Self-starter attitude with strong product sense and iteration speed Bonus Points Experience with AutoGen, CrewAI, OpenAgents, or ReAct-style frameworks Background in building AI systems that blend structured and unstructured data Experience working in a fast-paced startup environment Previous startup or technical founding team experience This is a unique opportunity to work directly with an industry leader in AI to build a cutting-edge, next-generation AI system from the ground up.

What You'll Do Design and implement high-performance backend systems capable of handling billions of data points daily Work closely with researchers and ML engineers to productionize large-scale PyTorch models Develop low-latency, GPU-accelerated pipelines using Rust , CUDA , and C++ Build and maintain distributed computing systems for training and inference Profile, optimize, and debug code running on heterogeneous hardware (CPUs, GPUs) Take ownership of critical infrastructure that powers our AI systems Collaborate on system architecture to ensure scalability, robustness, and observability Languages: Rust, C++, Python ML Frameworks: PyTorch, CUDA Infrastructure: Kubernetes, gRPC, Kafka, Redis, AWS/GCP Tools: Prometheus, Grafana, Docker, Bazel, GitHub Actions Have 5+ years of backend engineering experience (systems, infrastructure, distributed computing) Have shipped or maintained high-throughput systems (millions+ RPS or equivalent) Are proficient in Rust or similar systems-level languages (C++, Go, etc.) Have hands-on experience with CUDA , GPU kernels , or ML inference acceleration Are familiar with PyTorch internals or have worked closely with ML researchers Think deeply about performance, security, and system architecture Are motivated by the idea of contributing to Superintelligence development

Role Overview: We are looking for a highly skilled AI Engineer who has hands-on experience developing applications using Reinforcement Learning (RL) and Large Language Models (LLMs). You will work closely with our research, product, and engineering teams to design, develop, and deploy intelligent systems at scale. Responsibilities: Design and develop AI systems using LLMs (e.g., GPT, LLaMA, Claude) and RL techniques. Build and fine-tune models for various tasks such as summarization, reasoning, dialogue generation, and decision-making. Apply RL and RLHF (Reinforcement Learning with Human Feedback) for continuous model improvement. Collaborate with data scientists and engineers to deploy models into production environments. Conduct experiments, analyze model performance, and iterate on solutions. Stay updated with the latest research in generative AI, RL, and NLP. Requirements: 3+ years of experience in AI/ML engineering, preferably with production-level deployments. Strong experience with LLMs, including fine-tuning, prompt engineering, or API integration. Solid understanding and practical experience with RL algorithms (e.g., PPO, A3C, Q-Learning). Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace Transformers). Experience with cloud platforms (AWS, GCP, or Azure) and MLOps practices. Strong problem-solving and communication skills. Nice to Have: Experience with RLHF techniques and human feedback data pipelines. Familiarity with vector databases and retrieval-augmented generation (RAG). Contributions to open-source AI projects or research publications.

About the Role As an Account Executive – SaaS Sales , you’ll be responsible for winning new business and building long-term relationships with clients, especially those integrating our API and SDK-based solutions into their apps and platforms. This is a hybrid role that goes beyond closing deals—you’ll also play a key part in onboarding new customers and, for larger accounts, serve as a trusted partner through ongoing customer success and account management. Given the technical nature of our product, we require someone with a computer science or engineering background or prior experience selling SDKs, APIs, or developer tools. You should be comfortable speaking with both business decision-makers and technical stakeholders such as CTOs and developers. Key Responsibilities Drive outbound prospecting and build a pipeline of qualified leads. Manage the full sales cycle from discovery and demo to contract negotiation and close. Deliver polished, personalized product demos to a diverse range of leads—from startups to enterprise clients—effectively communicating technical capabilities and business value. Understand varied customer use cases across industries (especially healthcare) and tailor QuickBlox solutions to meet specific technical and business needs. Serve as the primary point of contact during customer onboarding, ensuring a smooth technical integration. Provide ongoing account management and support for key customers, including renewals and upsell opportunities. Maintain accurate activity and pipeline forecasts in HubSpot CRM. Educate prospects on the capabilities of QuickBlox’s SDKs, APIs, and AI-powered tools through a consultative sales process. Requirements Bachelor’s degree in Computer Science, Engineering, or a related technical field, OR equivalent experience in selling technical SaaS products. 3+ years of B2B SaaS sales experience, with a strong preference for those who’ve sold SDK/API-based or developer-first software. Excellent communication and presentation skills, with the ability to explain technical products to both technical and non-technical audiences. Experience with onboarding and supporting customers post-sale is a plus. Familiarity with CRM systems (e.g., HubSpot or Salesforce) and sales prospecting tools like Sales Navigator or Apollo. Strong problem-solving skills, attention to detail, and a genuine interest in helping customers succeed. What We Offer Competitive base salary with uncapped commissions and performance incentives. End-to-end ownership: Play a role in the entire customer journey, from first conversation to long-term success. High-impact work: Contribute to solutions that improve patient care, streamline operations, and enhance communication in healthcare and other critical sectors. Growth opportunities: Fast-track career advancement into senior sales, account management, or leadership roles. Supportive culture: Work with a global team of talented professionals committed to innovation, collaboration, and integrity.

The Account Executive SaaS Sales will be responsible for acquiring new business and nurturing client relationships, particularly those incorporating our API and SDK-based solutions into their applications and platforms. This role is a blend of sales and customer success, involving not only closing deals but also guiding customers through onboarding and serving as a trusted partner for ongoing success and account management. To excel in this position, a background in computer science, engineering, or previous experience in selling SDKs, APIs, or developer tools is essential. The ideal candidate should be adept at engaging with both business decision-makers and technical stakeholders, such as CTOs and developers. Key responsibilities include driving outbound prospecting to generate qualified leads, managing the entire sales cycle from initial discovery to contract finalization, delivering customized product demonstrations to diverse audiences, understanding different customer use cases across industries (particularly healthcare), and providing continuous account management and support to key clients. Additionally, maintaining accurate activity and pipeline forecasts in HubSpot CRM and educating prospects on QuickBlox's SDKs, APIs, and AI-powered tools through a consultative sales approach are crucial aspects of the role. Requirements for this role include a Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent experience in selling technical SaaS products. Candidates should possess at least 3 years of B2B SaaS sales experience, with a preference for individuals who have sold SDK/API-based or developer-centric software. Strong communication and presentation skills, the ability to articulate technical products to both technical and non-technical audiences, familiarity with CRM systems and sales prospecting tools, problem-solving abilities, attention to detail, and a genuine interest in customer success are also essential. In return, we offer a competitive base salary with uncapped commissions and performance incentives, the opportunity for end-to-end ownership of the customer journey, involvement in impactful projects that benefit patient care and operational efficiency in healthcare and other critical sectors, avenues for rapid career growth, and a supportive work culture characterized by innovation, collaboration, and integrity.,