Senior Product Manager, AI

Technical Product ManagerTechnical Product ManagerFull TimeRemote

Location

United States

Posted

52 days ago

Salary

$175K - $200K / year

No structured requirement data.

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

We’re looking for a Senior Product Manager to discover, prioritize, and deliver innovative AI products at an unfair rate over our competition. This Product Manager will also empower the entire company with context so other teams can leverage the full potential of our product toward their respective business goals.

Your Impact: Outcomes You’ll Be Responsible For

  • Enabling Product, Engineering, and Design with clear, compelling, prioritized, de-risked problems to solve, with clear definitions of success.
  • Enabling Sales, Marketing, and Customer Success with product, messaging, positioning, and supporting materials that address those needs.
  • Improving key metrics with core personas, such as onboarding success rate, adoption, utilization, and Net Promoter Score.
  • Identifying greenfield verticals and use-cases for our business and launching new AI Agents.
  • Burnishing Conveyor’s market leadership and long-run defensibility by researching, building a vision for, and executing on new products, markets, services, and partnerships.

Qualifications

  • 6+ years of early- or growth-stage B2B SaaS Product Management experience.
  • 3 of those years can be subbed out for Founder experience at similar stage/industry.
  • Hands-on experience building GenAI products (e.g., a RAG system, an AI Agent, NLP information extraction or entity resolution tool) - even if as a side-project.

Requirements

  • AI Curiosity & Creativity: You try new tools and explore new user paradigms made possible by AI.
  • Metrics-driven: You have strong intuition about defining success using quantitative measures.
  • Familiarity with LLMs: You have a basic understanding of working with Large Language Models, including their performance constraints and tradeoffs.
  • Technical competence with AI tools: You can test LLM pipelines in a structured way in no-code tools, such as ChatGPT or various prototyping tools.

Benefits

  • The approximate salary range for this position is $175,000 - $200,000 with an options package.
  • Comprehensive benefits package with employee medical, dental, and vision.
  • 401k plan.
  • Flexible vacation policy, with a recommended minimum of 20 days off.
  • 14 weeks of paid parental leave.
  • $1000 home office budget (annually) to set up your most productive working environment.
  • Annual professional development budget available to attend conferences, events, and trainings.
  • Company travel to team onsites 1-2 times per year where we come together to connect, collaborate, and eat exceptionally good food.

Job Requirements

  • 6+ years of early- or growth-stage B2B SaaS Product Management experience.
  • 3 of those years can be subbed out for Founder experience at similar stage/industry.
  • Hands-on experience building GenAI products (e.g., a RAG system, an AI Agent, NLP information extraction or entity resolution tool) - even if as a side-project.
  • AI Curiosity & Creativity: You try new tools and explore new user paradigms made possible by AI.
  • Metrics-driven: You have strong intuition about defining success using quantitative measures.
  • Familiarity with LLMs: You have a basic understanding of working with Large Language Models, including their performance constraints and tradeoffs.
  • Technical competence with AI tools: You can test LLM pipelines in a structured way in no-code tools, such as ChatGPT or various prototyping tools.

Benefits

  • The approximate salary range for this position is $175,000 - $200,000 with an options package.
  • Comprehensive benefits package with employee medical, dental, and vision.
  • 401k plan.
  • Flexible vacation policy, with a recommended minimum of 20 days off.
  • 14 weeks of paid parental leave.
  • $1000 home office budget (annually) to set up your most productive working environment.
  • Annual professional development budget available to attend conferences, events, and trainings.
  • Company travel to team onsites 1-2 times per year where we come together to connect, collaborate, and eat exceptionally good food.

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