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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong analytical skills and structured problem-solving abilities to translate customer needs into actionable product requirements. Proficient in building prototypes and analyzing customer value within AI-powered solutions, particularly in B2B SaaS environments.
Highest-signal resume keywords
Strong Analytical SkillsStructured Problem-Solving AbilityExcellent Written And Verbal Communication SkillsHands-On Experience With LLMs And AI AgentsPrior Professional Experience In Product Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalyticsUsage Data AnalysisUnit EconomicsPricing Trade-OffsProduct Requirements SpecificationSuccess Metrics DefinitionPrototypingAI Pricing ModelsCustomer Value AnalysisB2B SaaS Business Models
Soft Skills
Ownership MentalityCustomer InterviewingArticulation Of Opinions On AI Products
Industry Keywords
AI ProductsProduct Discovery MethodsConstructionBuilding MaterialsIndustrial DistributionVertical SaaS BusinessesFast-Paced Startup Environments
About the role
Key responsibilities & impact- Interview distributor and rep agency users to understand how quotes are built, including workarounds and judgment calls
- Map the quoting workflow end to end and identify where an AI agent delivers value and where human judgment remains necessary
- Prioritize what the agent should do next using customer evidence
- Build working prototypes to test agent workflows with real users
- Translate customer needs into product requirements and an engineering-ready specification
- Define success metrics including accuracy, time saved, trust, and adoption
- Set release criteria for reliability in real-world quoting scenarios
- Analyze customer value, usage behavior, and service costs
- Study AI pricing models including seats, usage, and outcomes
- Recommend pricing for AI-powered work and present the analysis to leadership
- Work alongside Parspec's product leadership on its AI quoting agent
Requirements
What you’ll need- Currently pursuing or recently completed a degree (undergraduate or graduate) in Business, Economics, Engineering, Computer Science, Data Analytics, or a related field
- Strong analytical skills, including comfort working through usage data, unit economics, and pricing trade-offs
- Structured problem-solving ability: you can break an ambiguous question down into an answerable workplan
- Excellent written and verbal communication skills, including the ability to run a customer interview and write a spec an engineer can build from
- A real ownership mentality: you have taken something from question to shipped result without being managed through it
- Genuine interest in AI products: you have used them seriously, formed opinions on what works and what does not, and can articulate why
- Prior professional experience in product management, consulting, software engineering, or a startup operating role
- Hands-on experience building with or evaluating LLMs and AI agents, even on personal projects
- Exposure to B2B SaaS business models, pricing and packaging work, or product discovery methods
- Interest in construction, building materials, industrial distribution, or vertical SaaS businesses
- Experience in fast-paced or early-stage startup environments
- Must be currently authorized to work in the United States on a full-time basis without sponsorship now or in the future
Benefits
Comp & perks- Direct, sustained working exposure to Parspec's product leadership
- Ownership of a live piece of an AI product that real customers use, with a spec and a pricing recommendation the company acts on
- Hands-on experience with the two defining challenges of AI product management: making agents reliable and making them commercially viable
- A strong foundation and a credible story for future roles in AI product management, product leadership, or founding
- Flexible hybrid work environment
- Diversity and a discrimination-free workplace