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Senior Product Manager, Contract (with potential for hire in a full-time role)

Posted 2 days agoViewed

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💎 Seniority level: Senior, 5+ years

📍 Location: United States

🏢 Company: Climate Cabinet

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: SQLGCPMachine LearningProduct ManagementJiraData scienceData visualizationPrototyping

Requirements:
  • 5+ years of experience in product management, technical program management, or a related role.
  • Proven ability to bring structure to ambiguity, quickly turn ideas into testable prototypes while aligning them with broader goals, ensuring efficient iteration and clarity.
  • Strong track record leading complex, collaborative initiatives from start to finish involving technical and non-technical stakeholders with diverse perspectives.
  • Experience connecting short-term execution with long-term strategy and funding outcomes.
  • Familiarity with applying large language models, machine learning techniques, or data science methods to analyze and extract insights from large volumes of unstructured text (e.g., legislative language, policy databases).
  • Skilled and experienced in prototyping and visualization tools (e.g., Figma, Lucidchart, Google Sheets) to mock up products and align teams.
  • Comfortable managing agile workflows using Jira (or equivalent tools)—sprints, backlogs, and ticket hygiene.
  • Proficient in lightweight data exploration (e.g., SQL, basic Python) to validate ideas and collaborate with engineers.
  • Experience collaborating on cloud-based solutions (especially GCP, BigQuery) and working alongside data engineering teams.
Responsibilities:
  • Design and deliver 3–4 functional beta product prototypes that demonstrate the potential for scalable climate policy analysis.
  • Lead the end-to-end product development process from idea to prototype, focused on policy tracking and analysis tools.
  • Collaborate with data engineers and analysts to integrate existing datasets into product prototypes.
  • Apply and evaluate techniques from machine learning, data science, and large language models (LLMs) to extract meaningful insights from legislative text.
  • Conduct user discovery and internal feedback cycles to inform iteration and refinement.
  • Provide input on Climate Cabinet’s long-term product and data strategy, including documentation of technical and resourcing needs.
  • Maintain clear, organized documentation to support knowledge transfer and potential productization beyond the contract period.
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