Top Tech Jobs & Startup Jobs

Designs and deploys supervised machine learning classifiers using curated patent data, conducts desk research on technologies, scopes and defines client classifier taxonomies, supports customer meetings and data review, and delivers ad-hoc analysis and presentations as projects progress.

Hunt and close new B2B customers by prospecting, building a healthy pipeline, running end-to-end sales cycles, delivering tailored demos, negotiating proposals, and collaborating with presales and marketing to meet targets.

Design, build, and optimize large-scale Databricks/Spark/Delta Lake data pipelines and Redshift data platforms. Implement ETL/ELT patterns, ingest telemetry and behavioral data (Matomo, FullStory, Pendo), improve performance and observability, provide L2/L3 production support and RCA, and mentor engineers while shaping data architecture and best practices.

Drive new business by prospecting and cold calling into assigned territory, demonstrate product value, achieve sales quotas and KPIs, collaborate with account managers, and master product certifications.

Manage post-sale relationships with Kenyan law firms, corporates, and public sector clients to drive retention, renewals, and upsell. Develop account plans, monitor usage and contracts, coordinate onboarding and adoption, maintain CRM records, forecast renewals, and collaborate with sales, product, and customer success teams to grow accounts and reduce churn.

Develop and maintain sales compensation programs: calculate commissions, manage commission data, prepare reporting datasets, generate reports and analyses, identify process improvements and support sales operations.

Lead design, deployment, and operation of large-scale production ML/AI systems (LLM, RAG, agents). Architect MLOps, inference and training platforms, integrate AI services via APIs/microservices, optimize agent capabilities, define KPIs and evaluation frameworks, troubleshoot distributed ML pipelines, and mentor engineers while driving technical strategy across product, data science, and engineering teams.

Lead and mentor a team to design, build, and maintain scalable ML and NLP solutions (including LLMs and RAG). Drive experiments on large datasets, produce actionable insights, and communicate findings to stakeholders while improving engineering practices and model reliability.

Design and lead end-to-end AI solutions using LLMs, RAG, agentic systems, vector databases and cloud infrastructure. Advise on AI architecture, MLOps, production readiness, and guide engineering teams to align systems with business goals.

Hunter-focused Business Development Manager responsible for sourcing, engaging, and closing new corporate and legal clients through solution selling, demos, events, targeted campaigns, pipeline management, forecasting, and achieving revenue targets.