AI Product Manager - B2B SaaS (Martech)
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Insider OneMartech, B2B SaaS
Work from anywhere in Turkey through our fully remote setup.Full-TimeManager
Salary not disclosed
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Job Details
- Languages
- Fluent in English and Turkish
- Experience
- 3+ years of Product Management experience
- Required Skills
- Product ManagementPrompt EngineeringLLMGenerative AI
Requirements
- Have 3+ years of Product Management experience, preferably with a B2B SaaS product.
- Have experience using and applying Large Language Models, including prompt engineering, evaluation, and understanding how models are tuned.
- Have hands-on experience building or using LLM-powered agentic solutions.
- Have a strong understanding of GenAI fundamentals, including LLMs, prompt engineering, RAG, fine-tuning, hallucinations, bias, and accuracy.
- Have worked with model APIs such as OpenAI, Claude, or Mistral.
- Have hands-on experience with Agile Product Development.
- Have experience leading cross-functional teams and delivering projects on a time-bounded schedule.
- Have built or iterated on customer journeys using low-code/no-code tools and drag-and-drop automation platforms.
- Have a bachelor's degree from a top-tier university, preferably in Engineering, Business Management, or a related field.
- Be fluent in English and Turkish.
- Nice to have: experience establishing and refining processes for quality and accuracy in conversational AI channels.
Responsibilities
- Define the why, when, and what of products built by the engineering team.
- Lead cross-functional teams from product ideation through launch.
- Build product strategy that reflects Insider One's vision and communicate business value to the product team.
- Define the release process and coordinate activities required to bring products to market.
- Manage and prioritize product items.
- Generate, develop, and curate product ideas.
- Benchmark and monitor market needs, competition, customer and user requirements, and emerging technologies.
- Define and analyze metrics for product performance and customer satisfaction.
- Recommend product improvements based on performance and customer satisfaction metrics.
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