What You’ll Do
At DAKOTA, you will immediately assume leadership of the AI Operations team, taking full ownership of its delivery, expansion, and measurable impact. Your team will develop automation solutions and AI-driven agents for internal processes while serving as strategic advisors to Engineering, facilitating the seamless integration of AI into customer-facing products. We invite you to contribute to an initiative that merges innovative AI technologies with mission-driven work, driving digital and financial inclusion across Africa.
Key duties encompass managing project timelines, coordinating team efforts, and ensuring deliverables meet established quality standards. Additionally, you will be tasked with analyzing data to identify trends, presenting findings to stakeholders, and implementing process improvements as needed. Collaboration with cross-functional departments will be essential to align objectives and drive efficiency. Prior experience in a similar role, along with proficiency in relevant software tools, is required to perform these tasks effectively. Strong communication skills and the ability to prioritize competing demands will be critical for success in this position.
Oversee a team of two AI Ops Engineers, assuming full ownership of their project delivery, technical development, and daily operational tasks.
Efficiently prioritize tasks by adeptly handling competing requests from various teams, utilizing a well-defined prioritization framework that you will contribute to developing and refining.
Develop and deploy automation solutions and intelligent agents designed to deliver tangible enhancements in operational efficiency for both internal teams and customer-facing personnel.
Maintain the robustness and efficiency of the AI tooling infrastructure amidst its scaling to support over 2,500 employees.
To maintain expertise in the field, continuously monitor advancements in AI tools and technologies, discerning between fleeting trends and genuinely impactful innovations.
Collaborate with cross-functional teams, particularly Engineering, to enhance the quality and effectiveness of AI training initiatives across the organization.
The ideal candidate will possess expertise in a technical environment, with proficiency in relevant programming languages, frameworks, and tools. They should have experience in system design, debugging, and optimizing performance, ensuring robust and scalable solutions. Familiarity with cloud platforms, version control systems, and CI/CD pipelines is essential. Additionally, the role requires strong problem-solving skills, collaboration with cross-functional teams, and a commitment to continuous learning and innovation. A degree in computer science or a related field is preferred, along with relevant certifications or demonstrable experience.
Proficient knowledge of AI and agentic frameworks such as Claude, Claude Code, Anthropic tooling, Lang Chain, MCP, and Google ADK (or comparable agentic frameworks) is essential.
Automation and Prototyping: Developing and implementing scripts, leveraging workflow tools, utilizing AI-assisted development methodologies, and executing rapid prototyping initiatives through platforms such as Tercel and Railway.
Enterprise Tooling: Implement and manage identity automation solutions with Microsoft Entra, develop and maintain internal platforms, and integrate systems with Notion and HiBob to streamline workflows and enhance operational efficiency.
Twelve months have already passed since the implementation of production-ready automations using Claude, Notion, HiBob, and Entry.
Our Approach
Build and deliver, rather than simply recommend — this is a dynamic, execution-focused team dedicated to developing and deploying fully operational automations and agents.
Demonstrate the value proposition initially, followed by a strategic expansion. Initiate the process with a team of two engineers, establish measurable impact, and subsequently scale the initiative accordingly.
Adopt a customer-centric approach toward internal teams, positioning them as key stakeholders while developing efficient, user-friendly tools tailored to their needs.
Evaluate emerging AI tools based on their tangible value and real-world applicability, steering clear of exaggerated marketing narratives.
What You Need
We seek a technically proficient professional with a product-driven mindset. While Data Science teams handle model development, this role focuses on designing agents, implementing automations, and guiding a team to enhance DAKOTA’s operational efficiency and speed.
Required Experience: A minimum of five years in a similar role, with at least two years in a management or leadership position within a customer service or client-facing environment. Candidates must possess strong communication skills, both written and verbal, and demonstrate proficiency in conflict resolution and problem-solving. Experience in managing high-volume call centers or support teams is highly desirable, along with a track record of improving customer satisfaction metrics. Familiarity with CRM systems and data analysis tools is preferred. Additionally, candidates should exhibit leadership qualities, adaptability to change, and a commitment to continuous improvement in operational efficiency.
Experienced in developing automation solutions, including scripting, workflow tools, or AI-assisted development methodologies.
Skilled in developing agents through agentic frameworks such as Lang Chain, MCP, Google ADK, or comparable tools is essential.
Background in enterprise tooling solutions, including rapid prototyping platforms such as Tercel or Railway, identity automation frameworks like Entry, or specialized internal platforms.
You possess demonstrated experience in leading and guiding engineering teams, having successfully mentored engineers and assuming ownership of both delivery outcomes and team development.
Qualifications
BA/BSc/HND
