AI Product Manager
AI Product Manager
Posted on :
03-08-2025
Employer Active
1 Vacancy
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Monthly Salary
USD 203300 - 305600
Vacancy
1 Vacancy
Posted on :
03-08-2025
Job Description
This role will operate in both capacities to augment existing AI roadmaps as well as innovate and trailblaze new frontier tech projects crafting AI experiences that reduce time to insights and catalyze is a team sport and in your role you will be key in leading and influencing teams on the translation of business problems and questions into GenAI this role you will:- Own the end-to-end product lifecycle of Sales GenAI platformfrom discovery and prioritization to delivery and optimization.- Define and evolve a modular product vision that supports integration web tools insights emails and agent-based decisioning.- Translate business goals into clear AI/ML feature requirements in partnership with AI engineers and data scientists.- Collaborate with UX/UI and engineering to ensure seamless integration of LLMs RAG and ML outputs into the GenAI gateway.- Drive A/B testing usage telemetry and insights adoption metrics to inform roadmap decisions.- Serve as the connective tissue between business partners and technical teams to balance impact and feasibility.
- 12 years proven experience in data and AI-related fields such as software architecture or AI engineering software development data science data analysis or data lead roles with experience across both traditional ML systems and GenAI LLMs.
- 5 years of product management experience including 2 in AI/ML or data-driven platforms. Experience launching AI-powered features in enterprise tools or data products.
- Ability to translate ambiguous business problems into concrete technical solutions.
- Ability to lead the development of AI projects from start to finish.
- Strong communication and storytelling skills with executive-level stakeholders.
- Comfort with ambiguity. Ability to architect a full orchestrator and business context layer for sales.
- Wide knowledge of GenAI and RAG strategies micro services MCP A2E recommendation systems and prompt engineering.
- Deep understanding of LLM ecosystems (OpenAI Anthropic Gemini etc.) RAG pipelines vector databases (e.g. Pinecone FAISS Milvus PostgreSQL).
- Experience with orchestration layers (e.g. LangChain Semantic Kernel Haystack) and prompt engineering best practices.
- Basic proficiency in programming languages tools and frameworks like Python Git Notebooks Dataiku and Streamlit.
- Familiarity with telemetry and evaluation frameworks for AI agents.
- Experience working with data science teams on insights generation leveraging LLMs.
- Knowledge of project management productivity and design tools such as Wrike and Sketch.
- Strong time management skills with the ability to collaborate across multiple teams.
- Proven experience designing scalable cloud-native platforms (e.g. AWS GCP or on-prem hybrid).
- Able to balance competing priorities long-term projects and ad hoc requirements.
- Ability to work in a fast-paced dynamic constantly evolving business environment.
- Bachelors degree in Computer Science Statistics Mathematics Engineering Economics Applied Mathematics Machine Learning or a related field.
- Background in sales analytics go-to-market or operations.
- Ability to communicate results and insights effectively to partners and senior leaders as well as both technical and non-technical audiences.
- Experience working in dual-speed orgs where central and regional product needs coexist.
- Experience with anomaly detection and causal inference models.
- Proven experience working with LLMs and GenAI frameworks (LangChain LlamaIndex etc.).
- Familiarity with embedding retrieval algorithms agents and data modeling for vector development graphs.
- Other complementary technologies for distributed systems architecture and asynchronous messaging agent communication and catching like RabbitMQ Redis and Valkey are preferred.
- Advanced Degree (MS or Ph.D.) in Economics Electrical Engineering Statistics Data Science or a similar quantitative field is preferred.
Required Experience:
IC
Employment Type
Full-Time
Key Skills
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