
Presales Consultant
13 hours ago
Position - Pre-Sales Consultant
Work Location: Nairobi, Kenya
Experience : Minimum 4 Years in presales of Data & AI
Interview Process - F2F in Mumbai (Travel Expenses would be reimbursed by company once interview is done)
Salary Package : Tax Free Salary in USD/Month + Incentives + Expat Benefits
Expat Benefits:
- Furnished Family Accommodation (Spouse + 2 Kids under 18 Yrs)
- Visa & air tickets
- Transport
- Medical expenses for Employee & Family
- Two-year contract
- Food would be taken care by employees themselves
- 30 days paid leave after 2 years
Responsibilities
- Articulate Data & AI Value Proposition: Demonstrate how Clouderas hybrid data platform, AI/ML capabilities, and analytics solutions drive innovation, regulatory compliance, operational efficiency, and customer growth.
- Engage with Technology Partners: Collaborate with OEMs and ecosystem partners to gather technical details, validate integration points (e.g., cloud-native data services, governance, security), and co-develop tailored solutions.
- Solution Design: Prepare high-level designs for enterprise data platforms: data lakes, warehouses, streaming pipelines, governance frameworks, and MLOps architectures. Include architecture diagrams, bill of materials (BOM), scope, and cost estimates.
- Proof-of-Concepts (PoCs): Conduct PoCs and demonstrations to validate solution fit, such as large-scale data ingestion, machine learning model deployment, or real-time
- analytics.
- Sales Collaboration: Partner with Account Managers during sales cycles, providing technical expertise, responding to RFPs/RFIs, and tailoring solutions to customer use cases (e.g., fraud detection, churn prediction, customer 360).
- Customer Requirement Analysis: Translate customer requirements into data-driven solutions, such as recommending secure data lakehouse strategies for regulatory compliance or AI-based analytics for business growth.
- Proposal & Bid Support: Support bid teams in compiling technical sections of proposals, ensuring accuracy and competitiveness.
- Market Intelligence: Stay updated on industry trends in AI/ML, big data, cloud-native platforms, and data governance, especially within African financial services, telco, and public sector landscapes.
- Knowledge Sharing & Enablement: Provide internal training to sales teams on new data and AI solution features and document technical proposals and PoC outcomes.
OKRs (Objectives and Key Results)
- Objective 1: Support Data & AI Sales Pipeline with Technical Expertise
- Objective 2: Enhance Proposal Quality and Win Rates
- Objective 3: Strengthen Data & AI Partner Ecosystem
- Objective 4: Drive Customer-Centric Data Alignment
Requisite Soft Skills
- Ability to simplify complex data and AI concepts for business stakeholders.
- Strong persuasion and influencing skills during technical demos and workshops.
- Analytical and problem-solving mindset for large-scale data challenges.
- Collaboration with cross-functional teams and external partners.
- Adaptability to evolving AI/ML and data governance technologies.
- Customer-focused approach with a consultative mindset.
Qualifications
- Bachelors degree in Computer Science, Data Science, Engineering, or related field; Masters preferred.
- 4+ years in presales, solutions architecture, or technical consulting in data/AI domains.
- Hands-on experience with data platforms (Hadoop, Spark, Kafka, Kubernetes, Cloudera, Databricks, AWS/GCP/Azure).
- Practical knowledge of ML frameworks (TensorFlow, PyTorch, MLflow) and analytics tools.
- Relevant certifications (e.g., Cloudera Certified Professional, AWS Data Analytics Specialty, Google Cloud Data Engineer).
- Familiarity with regulatory and compliance
If interested pls share your CV on or email : with CCTC, ECTC & NP
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