Senior Product Manager

Description:

Responsibilities:

Product Strategy & Vision :

- Define and communicate a compelling product vision, strategy, and long-term roadmap for AI Knowledge Base products.

- Identify new opportunities through market research, customer feedback, and emerging AI trends.

Execution & Delivery :

- Prioritize features based on customer needs, business goals, and competitive insights.

- Lead cross-functional teams to build, iterate, and deliver best-in-class AI capabilities.

- Drive POCs, experiments, and rapid prototyping to validate product hypotheses.

Leadership & Collaboration :

- Mentor PMs and influence cross-functional teams to align around shared outcomes.

- Act as a product expert and champion for both technical and non-technical stakeholders.

Analytics & Continuous Improvement :

- Define, measure, and own KPIs such as adoption, retention, NPS/CSAT, and product impact.

- Conduct user research, usability testing, and competitive analysis to continuously refine the product.

Requirements :

Experience :

- 8+ years of total professional experience, including 4+ years in Product Management (AI, chatbots, or SaaS preferred).

- 2+ years of hands-on experience in AI/ML domain, working closely with LLMs, data teams, or ML engineering.

Technical Skills (Preferred) :

- Understanding of LLMs, prompt engineering, embeddings, RAG, vector databases, and model evaluation.

- Familiarity with AI infrastructure: model fine-tuning, inference pipelines, orchestration, model monitoring.

- Experience working with APIs (OpenAI, Anthropic, Google Vertex AI, etc.) and integrating AI models into products.

- Comfortable discussing architectural concepts with engineering (microservices, data pipelines, model lifecycle).

- Ability to create and interpret technical documentation, PRDs, user flows, and data schemas.

- Experience with analytics tools (Mixpanel, Amplitude, Looker, GA4) and experimentation frameworks (A/B testing).

- Familiarity with SQL or basic data querying for insights (nice to have).

- Experience with knowledge bases, search systems, or NLP products is a strong plus.