Product Designer
Portfolio walkthrough, research use, interaction craft and critique.
Portfolio walkthrough, research use, interaction craft and critique.
Backlog management, user stories, sprint planning and working closely with delivery teams.
Test planning, manual and automated testing, bug reporting and release quality for apps.
Prospect research, cold outreach, objection handling, qualification and daily activity discipline.
Application security, cloud hardening, threat modelling, incident response and NDPA data protection.
Service levels, observability, incident response and capacity planning for high-traffic systems.
Programming fundamentals, problem solving, learning speed, debugging and teamwork.
Problem and customer, product and traction, team, market and growth, and coachability.
Platform and API products, technical trade-offs, roadmaps and working with engineering leads.
Troubleshooting, product and network knowledge, customer handling and clean escalations to engineering.
Research planning, interviews, usability testing and turning findings into product decisions.
Understanding user problems, prioritising product work and helping a software team deliver measurable improvements.
A technical screen on API design, data access, debugging, testing and practical backend trade-offs under realistic load.
Security alert triage, vulnerability follow-up, safe evidence handling and practical security judgement.
Analytical thinking, data quality, basic spreadsheet reasoning, communication and commitment to project-based learning.
Programming fundamentals, problem solving, version control, teamwork and learning in a first software role.
Python services, REST APIs, database queries, validation and systematic debugging of backend faults.
React components, browser debugging, responsive interfaces, accessibility and collaboration on frontend changes.
Statistical foundations, coding experience, project reasoning and motivation for advanced study in data science.
Computational thinking, maths foundations and motivation for studying computer science after the UTME.
Azure architecture, infrastructure as code, network design, resilient operations and cloud cost decisions.
Cloud incident triage, Linux and network diagnosis, customer communication and clear escalation notes.
Customer onboarding, product adoption, renewal risk and outcome-focused support for SaaS accounts.
SaaS onboarding, adoption, value reviews, renewal risk and trusted customer relationships.
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