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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product strategy and market research, with a strong focus on pricing logic and commercial models. Capable of collaborating with technical teams to leverage AI literacy and structured workflows for effective product development.
Highest-signal resume keywords
Product Strategy FluencyMarket Research SkillsCommercial JudgmentAI LiteracyStructured Evidence-Heavy Workflows
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product LaunchDemand ResearchPricing LogicCompetitor AnalysisCustomer InterviewsWorkflow DefinitionCommercial Model DevelopmentEvidence-Heavy MindsetSolution Family ManagementPortfolio Progress Reporting
Soft Skills
Excellent Written CommunicationExcellent Verbal Communication
Industry Keywords
Professional ServicesSoftwareHybrid ModelsKYCOnboardingDocument ProcessingException HandlingPolicy-Controlled Operations
About the role
Key responsibilities & impact- Interview customers, prospects, and delivery teams
- Size demand and willingness to pay
- Decide which opportunities deserve further investment proactively
- Define the problem, buyer, workflow, value, delivery model, and commercial model for each solution family
- Recommend when to expand, narrow, or discontinue solution families
- Work with Engineering and Delivery to turn engagement learnings into reusable templates, datasets, and playbooks
- Define pricing logic, commercial models, and hand-off points with Build & Run alongside Sales and Marketing
- Protect NORA from becoming a general AI consulting practice, prototype factory, or platform built ahead of proven demand
- Spend time with Sales and customers
- Report portfolio progress using conversion, reuse, and margin evidence
Requirements
What you’ll need- Demonstrated track record of creating and launching new products
- Strong market research skills, including customer interviews, competitor analysis, and demand/pricing research
- Commercial judgment involving pricing, scope, or margins across professional-services, software, or hybrid models
- Product strategy fluency across software vs. services, platform vs. focused solution, and project vs. recurring revenue
- AI literacy sufficient to discuss architecture, limitations, evaluation, and cost with technical teams
- Excellent written and verbal English
- Experience with structured, evidence-heavy workflows is nice-to-have, including compliance, KYC/onboarding, document processing, exception handling, or policy-controlled operations
- Structured, evidence-first mindset and credibility across commercial, technical, and delivery teams are nice-to-have