Sales Manager - DRC

Sales Executive - Kenya

Sales Executive - Tanzania

Sales Account Executive - Uganda

Solution Engineer - AI Infrastructure

Software Services Sales Leader

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

Partner Solutions Engineer - IOT

 IIAD / SAD / LAD Artificial Intelligence Engineer

Responsibilities: Revenue and Margin Delivery: <ul><li>Achieve and exceed budgeted volumes and margins as per annual sales plan targets</li><li>Drive aggressive revenue growth through systematic customer acquisition, identifying and converting new accounts across all market segments</li><li>Expand business with existing customers by increasing wallet share, and deepening customer penetration through strategic account planning and relationship management</li><li>Develop and maintain a robust new customer portfolio through targeted prospecting, lead generation, market mapping, and conversion of qualified opportunities into active revenue-generating accounts</li><li>Implement customer retention strategies to minimize churn, protect revenue base, and ensure long-term sustainable relationships with key accounts</li><li>Protect and enhance profit margins through disciplined pricing strategies, value-based selling and resistance to margin erosion in competitive situations</li><li>Negotiate favorable commercial terms with customers that balance volume commitments with margin integrity, ensuring every deal contributes positively to bottom-line profitability</li></ul> Business Performance: <ul><li>Propose strategic market shifts to meet agreed budgets</li><li>Provide market intelligence insights through proactive engagement with contacts</li><li>Share critical information with management regarding strategy, new projects, and market opportunities</li><li>Build and maintain professional relationships with government agencies, statutory authorities, trade groups, business forums, and industry associations</li><li>Implement timely delivery of solutions according to customer needs and objectives</li><li>Conduct sales forecasting aligned with market dynamics and coordinate with Supply team for effective S&amp;OP processes</li></ul> Stakeholder Management: <ul><li>Develop and maintain strong relationships with internal and external stakeholders</li><li>Maintain close working relationships with supply and logistics teams for proper product planning</li><li>Collaborate with Head of Supply and Distribution, Operations Manager, and Business Development</li><li>Manager to translate business strategy into specific objectives and KPIs</li><li>Facilitate regular communication and reporting on sales, debtors, and collections</li></ul> Requirements: Education and Qualification&nbsp; <ul><li>Bachelors degree in Marketing, Commerce, Sales Management, or related business field</li><li>Masters degree in Business Administration (MBA), Marketing, or related field is preferred</li><li>Professional sales certifications, strategic account management training, negotiation skills certifications, or industry-specific qualifications is an added advantage</li><li>At least 6-8 years of progressive sales experience in the oil and gas industry, petroleum products distribution or related B2B industries</li><li>Demonstrated experience managing a diverse customer portfolio</li><li>Deep understanding of the Kenyan oil and gas market, including market structure, key players, competitive landscape, and regulatory environment</li><li class="ql-align-justify">Track record of successfully managing tenders, RFPs, and complex procurement processes with government entities and large corporate accounts</li></ul>

Responsibilities: Sales Execution: <ul><li>Execute sales plans and achieve individual volume and margin targets as assigned</li><li>Identify, prospect, and acquire new customers within assigned territory or product portfolio</li><li>Maintain and grow sales volumes from existing customer accounts through regular engagement and relationship building</li><li>Conduct customer visits, product presentations, and negotiations to close sales deals</li><li>Prepare quotations, sales proposals, and contracts in accordance with company pricing and approval guidelines</li><li>Monitor customer orders and coordinate with supply and logistics teams to ensure timely delivery</li><li>Maintain accurate and up-to-date customer records and sales data in the companys sales management system</li></ul> Customer Relationship Management: <ul><li>Build and maintain strong professional relationships with customers to ensure satisfaction and loyalty</li><li>Respond promptly to customer inquiries, concerns, and requests for information</li><li>Conduct regular follow-ups with customers to identify additional needs and opportunities</li><li>Gather customer feedback and market intelligence to share with the Sales Manager</li><li>Support debt collection activities by maintaining communication with customers on payment terms and following up on overdue accounts</li></ul> Market Intelligence and Reporting: <ul><li>Gather and report market intelligence including competitor activities, pricing trends, and customer needs Provide regular sales reports including achievements against targets, pipeline updates, and customer feedback</li><li>Participate in industry events, trade shows, and networking opportunities to promote the company and identify business opportunities</li><li>Monitor stock levels and product availability in assigned territory</li></ul> Compliance and Administrative Duties: <ul><li>Adhere to all company policies, procedures, and standard operating practices related to sales operations</li><li>Follow credit management and sales approval processes as outlined in company procedures</li><li>Ensure all sales documentation is complete, accurate, and submitted in a timely manner</li><li>Maintain compliance with legal and regulatory requirements in all sales activities</li><li>Complete required sales training and professional development programs</li></ul> Requirements: Education and Qualification: <ul><li>Bachelors Degree in Commerce, Marketing, Business Administration, or related field</li><li>At least 2 years of sales experience, preferably in the Oil Industry or related B2B sector</li><li>Computer literate with proficiency in MS Office applications and CRM systems</li><li>Valid drivers license and willingness to travel within assigned territory</li><li>Strong communication and interpersonal skills</li><li>Basic understanding of credit management and commercial terms</li><li>Self-motivated with ability to work independently and as part of a team</li></ul>

Responsibilities: Sales Execution: <ul><li>Execute sales plans and achieve individual volume and margin targets as assigned</li><li>Identify, prospect, and acquire new customers within assigned territory or product portfolio</li><li>Maintain and grow sales volumes from existing customer accounts through regular engagement and relationship building</li><li>Conduct customer visits, product presentations, and negotiations to close sales deals</li><li>Prepare quotations, sales proposals, and contracts in accordance with company pricing and approval guidelines</li><li>Monitor customer orders and coordinate with supply and logistics teams to ensure timely delivery</li><li>Maintain accurate and up-to-date customer records and sales data in the companys sales management system</li></ul> Customer Relationship Management: <ul><li>Build and maintain strong professional relationships with customers to ensure satisfaction and loyalty</li><li>Respond promptly to customer inquiries, concerns, and requests for information</li><li>Conduct regular follow-ups with customers to identify additional needs and opportunities</li><li>Gather customer feedback and market intelligence to share with the Sales Manager</li><li>Support debt collection activities by maintaining communication with customers on payment terms and following up on overdue accounts</li></ul> Market Intelligence and Reporting: <ul><li>Gather and report market intelligence including competitor activities, pricing trends, and customer needs Provide regular sales reports including achievements against targets, pipeline updates, and customer feedback</li><li>Participate in industry events, trade shows, and networking opportunities to promote the company and identify business opportunities</li><li>Monitor stock levels and product availability in assigned territory</li></ul> Compliance and Administrative Duties: <ul><li>Adhere to all company policies, procedures, and standard operating practices related to sales operations</li><li>Follow credit management and sales approval processes as outlined in company procedures</li><li>Ensure all sales documentation is complete, accurate, and submitted in a timely manner</li><li>Maintain compliance with legal and regulatory requirements in all sales activities</li><li>Complete required sales training and professional development programs</li></ul> Requirements: Education and Qualification&nbsp; <ul><li>Bachelors Degree in Commerce, Marketing, Business Administration, or related field</li><li>At least 2 years of sales experience, preferably in the Oil Industry or related B2B sector</li><li>Computer literate with proficiency in MS Office applications and CRM systems</li><li>Valid drivers license and willingness to travel within assigned territory</li><li>Strong communication and interpersonal skills</li><li>Basic understanding of credit management and commercial terms</li><li>Self-motivated with ability to work independently and as part of a team</li></ul>

Responsibilities: <ul><li>We are seeking a Solutions Engineer - Artificial Intelligence (AI) Practitioner to join our dynamic sales team. As an SE (AI Practitioner), you will consult and drive the adoption of our AI solutions across various industries.</li><li>You will identify potential clients, understand their specific needs, and provide tailored AI solutions that enhance their business operations.</li><li>This role requires a deep understanding of AI technologies, real world deployment experience and expert capability to relay business and technical concepts to a diverse audience.</li><li>The Cloud and AI Infrastructure team is responsible for helping customers change their business using Client technology in the data center and on cloud. The team works with customers, partners and engineering teams to take customer problems and turn them into business advantage.</li></ul> Requirements: Minimum Qualifications: <ul><li>10+ years of technology consulting experience (preferably in systems, software, data, analytics and AI).</li><li>Good understanding of programming/scripting languages</li><li>Ability to provide detailed and consumable documentation and standard methodologies for deployment around application acceleration, automation/management efficiencies, enterprise, and AI/ML solutions.</li><li>Be able to develop and showcase real world examples of how AI technology can help businesses thrive and solve problems.</li><li>Excellent presentation skills – ability to value-sell and deliver engaging workshops to both technical and non-technical audiences on AI and/or infrastructure topics. Preferred</li><li>Bachelors Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. Advanced degree in Data Science is a plus.</li><li>Experience with AI relevant infrastructure, including Networking (InfiniBand and RoCE), Storage (FC, IP and scale out) and AI accelerators (GPUs etc).</li><li>In-depth understanding of AI models, including but not limited to GPT, Llama, Resnet or similar.</li><li>Experienced with data storage and management (SQL, NOSQL, Vector, BigQuery etc) and AI/ML frameworks (scikit-learn, TensorFlow, PyTorch, Jupyter, NIMS and NVAIE etc).</li><li>Expertise in training and fine-tuning AI models on premise or in cloud environments.</li><li>Familiarity with containerization (k8 etc).</li></ul>

Role Description: <ul><li>Become passionate about your employer and the brand you represent.</li><li>Everything is converging on the Internet, making networked connections more significant than ever before in our lives.</li><li>We have employees with ground breaking ideas that impact everything.</li><li>We take creative ideas from the drawing board to dynamic solutions that have real world impact.</li><li>Youll be part a team that cares about its customers, enjoys having fun, and youll take part in changing the lives of those in our local communities</li><li>Come prepared to be encouraged and inspired.</li><li>You will work with Sales account teams, core services specialists, architecture specialists, renewals team, the CX organization and Practice Delivery &amp; internal cross-functional teams</li></ul> Responsibilities: <ul><li>As a Services Specialist Premium for a set of named accounts, You will lead all aspects of the customer account with respect to Premium Services/Sophisticated Services and drive the execution of customer facing activities to conclusion in a quality, timely, and accurate manner.</li><li>Handle service pricing and margins according to agreed upon terms and work with cross functional teams.</li><li>You will plan and prioritize sales activities and customer/prospect contact towards achieving business objectives around Advanced Services</li><li>You will collaborate with cross-functional teams to create and lead account plans using all relevant data.</li><li>Identify customer business issues, challenges, care-abouts</li><li>You will communicate, liaise, and negotiate internally and externally using appropriate methods to facilitate the development of profitable business and sustainable relationships.</li></ul> Requirement: <ul><li>﻿Subject matter expert on Technology &amp; cross-Architecture solutions/Services. Understand customers’ technology landscape (Applications/Infra/Architecture) well &amp; are able to play an advisory role to account teams &amp; customers.</li><li>You Build Influential Relationships: Working with customers, channel partners, and account team members to meet business goals and objectives; using appropriate communication methods to influence others and establish relationships.</li><li>You have Customer Focus: Supporting customers during the sales process; seeking and taking appropriate actions on customer requirements while balancing business needs; resolving difficult issues in a timely and professional manner; taking responsibility for customer satisfaction and loyalty.</li><li>You negotiate: Optimally exploring interests and options to reach outcomes that gain the agreement and acceptance of all parties by using legitimate data, objective criteria to support ones proposal.</li><li>You are a Critical Thinker: Identifying and understanding issues, problems, and opportunities; comparing data from different sources to address sales challenges and new opportunities; taking courses of action based on sound analysis and judgment.</li><li>14+ years of sales experience in IT products or services sales</li></ul>

Responsibilities: <ul><li>Design, deploy, and maintain production-ready ML models and pipelines for real-world applications.&nbsp;</li><li>Build and scale ML pipelines using Vertex AI Pipelines, Kubeflow, Airflow, and manage infra-as-code with Terraform/Helm.&nbsp;</li><li>Implement automated retraining, drift detection, and re-deployment of ML models.&nbsp;</li><li>Develop CI/CD workflows (GitHub Actions, GitLab CI, Jenkins) tailored for ML.&nbsp;</li><li>Implement model monitoring, observability, and alerting across accuracy, latency, and cost.&nbsp;</li><li>Integrate and manage feature stores, knowledge graphs, and vector databases for advanced ML/RAG use cases.&nbsp;</li><li>Ensure pipelines are secure, compliant, and cost-optimized.&nbsp;&nbsp;</li><li>Drive adoption of MLOps best practices: develop and maintain workflows to ensure reproducibility, versioning, lineage tracking, governance .&nbsp;</li><li>Mentor junior engineers and contribute to long-term ML platform architecture design and technical roadmap.&nbsp;</li><li>Stay current with the latest ML research and apply new tools pragmatically to production systems.&nbsp;</li><li>Collaborate with product managers, DS, and engineers to translate business problems into reliable ML systems.&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (PhD is a plus).&nbsp;</li><li>5+ years of experience in machine learning engineering, MLOps, or large-scale AI/DS systems.&nbsp;</li><li>Strong foundations in data structures, algorithms, and distributed systems.&nbsp;</li><li>Proficient in Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL.&nbsp;</li><li>Hands-on experience building and deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML).&nbsp;</li><li>Experience with containerization (Docker, Kubernetes) and orchestration (Airflow, TFX, Kubeflow).&nbsp;</li><li>Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform/Helm), and configuration management.&nbsp;</li><li>Experience with big data and streaming technologies (Spark, Flink, Kafka, Hive, Hadoop).&nbsp;</li><li>Practical exposure to model observability tools (Prometheus, Grafana, EvidentlyAI) and governance (WatsonX)&nbsp;</li><li>Strong understanding of statistical methods, ML algorithms, and deep learning architectures.&nbsp;</li></ul>

Responsibilities: <ul><li>Dashboard Design and Development: Design, develop, and maintain interactive and user-friendly dashboards in PowerBI and Looker, focusing on clarity, performance, and data accuracy.&nbsp;</li><li>Data Lake Integration: Connect to and leverage data from various data lake sources on GCP, ensuring seamless data flow for visualization purposes.&nbsp;</li><li>Semantic Model Development: Develop and maintain robust semantic models in Looker (LookML) and PowerBI, ensuring data consistency, accuracy, and ease of use for reporting and analysis. This includes defining dimensions, measures, relationships, and calculations.&nbsp;</li><li>Machine Learning and GenAI Visualization: Create compelling visualizations to effectively communicate the results, performance, and insights derived from machine learning models and GenAI applications. This may involve visualizing model predictions, feature importance, natural language processing outputs, and other relevant data.&nbsp;</li><li>GCP Expertise: Utilize your strong understanding of GCP services to access, process, and prepare data for visualization. This may involve working with services such as BigQuery, Cloud Storage, and potentially data engineering pipelines built on GCP.&nbsp;</li><li>Collaboration: Partner closely with data scientists, data engineers, product managers, and business stakeholders to understand their data visualization needs and translate them into effective visual solutions.&nbsp;</li><li>Requirements Gathering: Elicit and document visualization requirements from various stakeholders, ensuring alignment with business objectives.&nbsp;</li><li>Performance Optimization: Optimize dashboard and visualization performance to ensure fast load times and efficient data rendering.&nbsp;</li><li>Data Quality Assurance: Ensure the accuracy, consistency, and reliability of data presented in visualizations.&nbsp;</li><li>Best Practices and Standards: Establish and enforce data visualization best practices and standards across the organization.&nbsp;</li><li>Training and Support: Provide guidance and support to other team members on data visualization tools and techniques.&nbsp;</li><li>Continuous Learning: Stay up to date with the latest trends and advancements in data visualization, PowerBI, Looker, GCP, and related technologies, particularly in the context of AI/ML.&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s or master’s degree in computer science, Data Science, Statistics, Information Systems, or a related field.&nbsp;</li><li>Minimum of 3 years of experience as a Visualization Expert, Data Visualization Engineer, or a similar role.&nbsp;</li><li>Proven expertise in designing and developing interactive dashboards and reports using PowerBI and Looker.&nbsp;</li><li>Strong experience in connecting to and working with data lakes, preferably on the Google Cloud Platform (GCP).&nbsp;</li><li>Solid understanding and hands-on experience in developing semantic models, particularly with LookML in Looker and data modeling within PowerBI.&nbsp;</li><li>Preferable experience in creating visualizations specifically for machine learning and GenAI applications, understanding the nuances of presenting model outputs and insights.&nbsp;</li><li>Proficiency in SQL for data extraction and manipulation.&nbsp;</li><li>Familiarity with data warehousing concepts and data modeling techniques.&nbsp;</li><li>Experience with data preparation, ELT (preferred) / ETL processes.&nbsp;</li><li>Strong analytical and problem-solving skills with the ability to interpret complex data.&nbsp;</li><li>Excellent communication and presentation skills, with the ability to convey technical information to both technical and non-technical audiences.&nbsp;&nbsp;</li><li>Ability to work independently and collaboratively in a fast-paced environment.&nbsp;&nbsp;</li><li>Strong portfolio showcasing your data visualization skills and experience.&nbsp;</li></ul>

Responsibilities: <ul><li>Involves working closely with industrial partners to evaluate their technical readiness, helping them align with client architectural plays and providing technical direction to develop new solutions and services offerings</li><li>Collaborate with partners to help them build IoT solutions aligned with our client strategy.</li><li>Provide strategic feedback on technology trends and develop business plans for partner enablement.</li><li>Lead partner training initiatives and assist in positioning our client solutions effectively.</li><li>Work cross-functionally with internal teams to adapt or create solutions addressing partner needs.</li><li>Create and deliver compelling solution demonstrations and prototypes</li><li>Provide feedback to product and engineering teams to improve IoT SDKs, APIs, and documentation.</li></ul> Requirements: Industry &amp; Partner Experience: <ul><li>Experience working with partner companies or Gold/Select resellers</li><li>Exposure to automation environments, particularly with Rockwell Automation, Honeywell, or other industrial control vendors</li><li>Familiarity with the integration of OT (Operational Technology) and IT networks</li></ul> Technical Expertise: <ul><li>Strong hands-on knowledge of networking technologies (routing, switching, wireless, security)</li><li>Understanding of security solutions (e.g., ASA/FTD Firewalls, ISE, Umbrella, Duo, etc.)</li><li>Knowledge of network design and architecture in industrial or enterprise environments</li><li>(Optional) Experience with cloud networking (Meraki, SD-WAN, Azure, AWS, etc.)</li></ul> Presales &amp; Commercial Skills: <ul><li>Experience in a presales or customer-facing technical role</li><li>Ability to design and architect solutions based on customer requirements</li><li>Skilled at creating technical proposals, BoMs, solution documentation, and presenting to clients</li><li>Strong communication skills to interface with both technical and business stakeholders</li><li>Familiarity with commercial engagement models (SOWs, pricing, licensing)</li><li>Certifications (Preferred but not mandatory)</li><li>Certifications: CCNP, CCIE (preferred), or other relevant certifications</li><li>Industrial certifications: Rockwell Certified Network Engineer (RCNE), Honeywell Network Specialist, etc.</li><li>Cloud certifications (AWS/Azure/Meraki) – optional</li></ul>

Responsibilities: Agentic AI Development:&nbsp;&nbsp; <ul><li>Design, build, and deploy agentic AI systems using frameworks such as LangChain, Lang Graph, and related libraries.&nbsp;&nbsp;</li><li>Develop and deploy multi-agent systems capable of autonomous decision-making, reasoning, planning, and collaboration.&nbsp;</li></ul> RAG Pipelines:&nbsp; <ul><li>Implement and optimize retrieval-augmented generation (RAG) systems, ensuring agents can access and incorporate external knowledge sources for grounded, accurate responses.&nbsp;</li></ul> LLM Engineering:&nbsp; <ul><li>Fine-tune and prompt-engineer LLMs for task-specific reasoning, planning, and dynamic adaptation.&nbsp;</li><li>Work with LLM/SLM APIs, embeddings, and advanced generative AI techniques.&nbsp;</li></ul> Enterprise AI Platform:&nbsp; <ul><li>Lead the development of enterprise-grade AI platforms integrating LLMs, RAG, embeddings, and agentic AI protocols.&nbsp;</li><li>Implement and standardize Model Context Protocol (MCP) for consistent context management across models and agents.&nbsp;</li></ul> MLOps &amp; Observability:&nbsp; <ul><li>Establish and enforce best practices for MLOps, monitoring, and observability, ensuring scalable and maintainable AI solutions.&nbsp;</li><li>Applied AI Prototyping:&nbsp;</li></ul> Rapidly prototype, experiment, and iterate to improve AI agent capabilities.&nbsp; Collaboration &amp; Research:&nbsp; <ul><li>Participate in the full research cycle: literature review, data exploration, experimentation, and presentation of findings.&nbsp;</li><li>Collaborate effectively with other engineers, researchers, and data scientists.&nbsp;</li><li>Contribute to the documentation and standardization of technical code and practices.&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related quantitative field. Master’s or Ph.D. is a strong plus.&nbsp;</li><li>5+ years overall experience in software development, data science, or machine learning.&nbsp;</li><li>1+ year of hands-on experience developing AI applications with LLMs and systems such as retrieval-based methods, fine-tuning, or agent-based architectures.&nbsp;</li><li>1+ year of experience with frameworks like LangChain, LlamaIndex, OpenAI, or similar tools.&nbsp;</li></ul>

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62 pricing models Jobs found

Sales Manager - DRC

Sales Executive - Kenya

Sales Executive - Tanzania

Sales Account Executive - Uganda

Solution Engineer - AI Infrastructure

Software Services Sales Leader

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

Partner Solutions Engineer - IOT

IIAD / SAD / LAD Artificial Intelligence Engineer

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62 pricing models Jobs found

Sales Manager - DRC

Sales Executive - Kenya

Sales Executive - Tanzania

Sales Account Executive - Uganda

Solution Engineer - AI Infrastructure

Software Services Sales Leader

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

Partner Solutions Engineer - IOT

IIAD / SAD / LAD Artificial Intelligence Engineer

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.