{"id":2950644,"url":"https://alion.io/job/job-mail-ai-product-manager","title":"AI Product Manager","company":{"id":701519,"name":"Job Mail","domain":"jobmail.co.za","url":"https://alion.io/company/job-mail","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":true,"listed_via":"jobmail.co.za","ats_vendor":"Schema","truth_index":{"grade":"C","score":65,"open_postings":6927,"ghost_share":0.489,"stale_share":0,"repost_share":0.71,"time_to_fill_p50_days":7,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Product","role_family":"Product","seniority":null,"employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["South Africa"],"countries":["ZA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":27000,"max_usd":60000,"period":"year","method":"role_country_seniority_unknown","sample_n":14},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"Power BI","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-20T19:54:36Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-20T19:54:36Z","board_verified":false,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"What you will be doing:\nIdentify and prioritise AI opportunities based on business value, user needs, feasibility, data readiness, cost, and risk.\nDevelop business cases and translate requirements into product features, user stories, acceptance criteria, and prioritised backlogs.\nDefine and maintain AI product roadmaps covering discovery, experimentation, pilots, releases, and continuous improvement.\nCollaborate with Data Scientists, ML Engineers, Researchers, Architects, and Engineering teams to evaluate AI models and solution approaches.\nDefine data requirements, quality standards, access constraints, and readiness criteria for AI use cases.\nEstablish model and product evaluation frameworks, including performance metrics, baselines, testing, acceptance thresholds, and release criteria.\nMonitor product performance, adoption, quality, costs, and business outcomes, using feedback and evidence to drive improvements.\nCoordinate Responsible AI, governance, risk, security, privacy, legal, and compliance requirements throughout the product lifecycle.\nDevelop product positioning, value propositions, pricing approaches, cost models, and return-on-investment assessments.\nDrive user adoption, training, change management, and benefit realisation while managing budgets, suppliers, and stakeholder expectations.\nWhat we are looking for:\nA Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, Business Science, or a related field\nRelevant AI certifications, such as Microsoft AI, Claude Associate, OpenAI, AWS, Google, or equivalent credentials.\nExperience in Product Management, Product Discovery, Business Analysis, or Software Development Lifecycle (SDLC) practices.\nExperience in requirements elicitation, user story development, solution design, roadmap development, and backlog prioritisation.\nDemonstrated experience with Agile delivery methodologies and cross-functional product delivery.\nFoundational to intermediate knowledge of Artificial Intelligence (AI), Machine Learning (ML), and Generative AI.\nExperience with data-driven products, including data quality, data governance, data modelling, and data readiness for AI and analytics.\nExperience supporting or managing pilots, Proofs of Concept (PoCs), A/B testing, and model evaluation frameworks.\nProficiency in analytics and performance measurement tools such as Power BI, Tableau, Qlik, Azure Monitor, Application Insights, or equivalent.\nKnowledge of Responsible AI, AI governance, risk management, regulatory compliance, data privacy, and ethical AI practices.\nExperience developing business cases, financial models, ROI assessments, cost-benefit analyses, and pricing strategies for digital, data, or AI-enabled products.\nStrong stakeholder engagement and communication skills, with the ability to explain complex technical concepts to business audiences.\nExperience supporting change management, user adoption, and product value realisation.\nPlease note that if you do not hear from us within 3 weeks, consider your application unsuccessful.Please note that most of our positions are remote; 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Docs: https://alion.io/developers"}}