استخدام AI Product Manager (کرج)
شرح موقعیت شغلی
Parspooyesh is looking for an experienced and hands-on AI Product Manager to turn an early-stage idea into a valuable, scalable, and commercially viable product.
You will own the full product journey—from problem discovery and concept validation to MVP development, market launch, product-market fit, growth, and maturity. This role goes beyond managing a backlog: you will be expected to build a deep understanding of the target market, identify the right customer problems, define the product strategy, drive execution, and create measurable business and customer outcomes.
This position is entirely focused on Parspooyesh’s AI product line and does not include telecom products or projects. No telecom domain experience is required.
What You Will Own
Product Discovery and Validation
- Identify and deeply understand the target customers, their workflows, pain points, and jobs to be done.
- Conduct customer interviews, market research, competitor analysis, and workflow observation.
- Turn assumptions into testable hypotheses and design fast, cost-effective validation experiments.
- Define the ideal customer profile, primary use cases, value proposition, and product differentiation.
- Validate customer demand, willingness to adopt, and willingness to pay before committing significant engineering capacity.
- Distinguish between an impressive AI demonstration and a product that creates durable customer value.
Product Strategy and 0-to-1 Execution
- Define and communicate the product vision, strategy, positioning, and roadmap.
- Translate validated customer problems into product requirements, user journeys, prototypes, PRDs, epics, user stories, and acceptance criteria.
- Work closely with AI, Engineering, Design, and Data teams to move from concept to prototype, MVP, pilot, and production release.
- Prioritize product opportunities based on customer value, business impact, learning potential, technical feasibility, and cost.
- Establish pilot and design-partner programs to test the product with real users.
- Drive fast iteration based on customer feedback, product analytics, and AI evaluation results.
- Make clear product trade-offs and document what should be built, deferred, integrated, or deliberately excluded.
AI Product Quality
- Define measurable success criteria and quality thresholds for AI-powered capabilities before development begins.
- Partner with AI and Engineering teams to evaluate trade-offs across model quality, reliability, latency, cost, scalability, and user experience.
- Define evaluation frameworks for AI outputs, including relevant offline evaluations, online metrics, human review, and production feedback loops.
- Identify failure modes, edge cases, hallucination risks, user trust issues, and appropriate human-in-the-loop mechanisms.
- Ensure AI capabilities are evaluated against real customer workflows rather than technical benchmarks alone.
- Consider privacy, security, transparency, responsible AI, and misuse prevention throughout the product lifecycle.
Required Qualifications
- At least 3 years of product management or product ownership experience, with meaningful accountability for product outcomes.
- Demonstrated experience taking at least one software product or major product area from discovery to launch.
- Evidence of improving a product beyond its initial launch through iteration, adoption, retention, or revenue growth.
- Hands-on experience building, launching, or seriously experimenting with AI/ML or LLM-powered products and features.
- Strong customer discovery skills and the ability to identify patterns across qualitative feedback and behavioral data.
- Solid understanding of product strategy, product-market fit, prioritization, experimentation, and go-to-market fundamentals.
- Technical fluency sufficient to discuss APIs, data flows, system integrations, model behavior, and engineering trade-offs.
- Understanding of modern AI product concepts such as prompt engineering, embeddings, RAG, model evaluation, and human-in-the-loop workflows.
- Ability to define meaningful product and AI-quality metrics rather than relying only on feature delivery.
- Strong analytical skills and experience using product data to make decisions.
- Excellent written and verbal communication skills, including the ability to communicate with technical, commercial, and executive audiences.
- Ability to read and prepare technical and product documentation in English.
- High ownership, sound judgment, and the ability to create structure in an ambiguous and fast-changing environment.
Preferred Qualifications
- Experience with B2B SaaS, enterprise software, workflow automation, or developer-facing products.
- Experience with generative AI, conversational AI, copilots, recommendation systems, or agentic workflows.
- Practical knowledge of RAG architectures, evaluation frameworks, guardrails, and production monitoring for AI systems.
- Experience with product analytics, SQL, funnel analysis, cohort analysis, or A/B testing.
- Experience defining pricing and packaging for SaaS, API-based, usage-based, or AI-powered products.
- Understanding of AI inference costs, unit economics, and the relationship between product usage and gross margin.
- Experience working with early adopters, design partners, or customer pilot programs.
- Familiarity with privacy, security, data governance, and responsible AI practices.
- Ability to create and test prototypes using design, no-code, low-code, or AI-assisted development tools.
مهارتهای مورد نیاز
- Ai
- Product
حداقل سابقه کار
- سه تا شش سال
حقوق
- حقوق از ۸۰,۰۰۰,۰۰۰ تومان
جنسیت
- مهم نیست
وضعیت نظام وظیفه
- مهم نیست