Daxtra

Manager

• Serve as the main liaison between Peoplebank and assigned clients, ensuring a strong partnership and deep understanding of their business and recruitment needs.
• Manage client on-boarding and ATS implementations, including requirement gathering, configuration, testing, and go-live coordination.
• Provide dedicated client support, responding to technical or functional queries, and coordinating with internal teams to ensure timely resolution.
• Lead regular sprint meetings with clients and the development team to prioritise requests, track progress, and manage release expectations.
• Oversee client acceptance testing (UAT), ensuring changes and enhancements meet agreed requirements before release.
• Identify opportunities for up-selling and product enhancements, promoting additional modules or features to drive client value and retention.
• Manage contract renewals and client engagement to ensure continued satisfaction and long-term partnership.
• Maintain accurate client documentation, meeting notes, and CRM records.
• Collaborate closely with cross-functional teams including Product, Development, and Support to deliver a seamless client experience.
• Dealing with 3rd party providers. Such as – job-boards, design agencies and HRIS.

Account Manager

Solutions Engineer

• Build and maintain integrations between internal products and external SaaS platforms.
• Develop and support APIs, middleware, and file-based integrations (REST, SOAP, JSON, XML, SFTP).
• Ensure accurate and efficient data mapping across systems and workflows.
• Translate customer and partner requirements into scalable, repeatable integration solutions.
• Work closely with Product and Professional Services teams to design integration strategies that drive adoption and ROI.
• Monitor, test, and troubleshoot integration performance and reliability.
• Provide Tier 3 technical support for complex integration issues.
• Maintain detailed documentation of integration flows, schemas, and best practices.
• Implement secure authentication and data transfer methods (OAuth, SAML, SSO).

Integrations Engineer

Data Scientist

• Lead and manage a team of data scientists and ML engineers, fostering innovation and collaboration.
• Develop, train, and deploy AI/ML models with a focus on Generative AI, embeddings, vector search, and deep learning.
• Research and implement state-of-the-art techniques in NLP, LLMs, and representation learning.
• Optimize and scale AI models for real-world applications in a production environment.
• Collaborate with product and engineering teams to integrate AI capabilities into enterprise solutions.
• Stay updated on advancements in AI/ML, evaluating emerging tools, frameworks, and methodologies.
• Establish best practices for AI model governance, ethics, and responsible AI deployment.
• Mentor junior team members and contribute to an AI-driven culture.
• Stay updated with the latest advancements in machine learning by regularly reviewing academic literature and research papers.

Senior AI Manager / Lead Data Scientist

Full-stack Engineer

• Develop and support SaaS and Web Application products using NodeJS
• Develop and deliver interfaces for internal tools
• Support technical colleagues in identifying and resolving issues

Full Stack Developer

• Develop and optimize AI/ML models with a focus on Generative AI, embeddings, and vector search.
• Implement deep learning models using frameworks like TensorFlow, PyTorch, or JAX.
• Collaborate with data scientists to integrate AI models into production systems.
• Maintain and enhance AI pipelines, ensuring efficiency and scalability.
• Conduct research on the latest AI advancements and implement innovative solutions.
• Assist in fine-tuning large language models (LLMs) and retrieval-augmented generation (RAG) systems.
• Optimize model performance and work on deployment strategies using cloud-based AI solutions.
• Support MLOps best practices to streamline AI development workflows.
• Stay updated with the latest advancements in machine learning by regularly reviewing academic literature and research papers.
• Capable of translating theoretical insights into practical, real-world solutions.

Account Manager

Integrations Engineer

Senior AI Manager / Lead Data Scientist

Full Stack Developer

AI Engineer, Data Scientist