Principal PM: AI SaaS for Energy

Vantora

Houston, Los Angeles (TX, CA)

Hybrid

USD 150,000 - 230,000

Full time

3 days ago
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Benefits offered by this job

Remote-friendly

Job summary

Vantora is seeking a Principal Product Manager to lead the end-to-end lifecycle of a 0→1 enterprise SaaS product for the energy/industrial sector. You’ll partner with engineering, design, data science, and a corporate partner to translate ambitious concepts into scalable, market-ready solutions.

You will define the roadmap, set success metrics, run structured experiments, and ensure investor readiness for spin-out and scaling.

Qualifications

  • 8+ years in product management for B2B SaaS with early-stage or 0→1 products.
  • Ability to translate AI/ML capabilities into customer value propositions.
  • Experience in industrial, energy, or manufacturing verticals is a plus.
  • Strong discovery, experimentation, and lean development skills.
  • Excellent communication with engineers, executives, and customers.

Responsibilities

  • Own end-to-end product lifecycle from ideation to post-launch iteration.
  • Turn business problems into product opportunities via user and data insights.
  • Define hypotheses, run tests, prototype with engineers and data scientists.
  • Prioritize high-impact problems aligned to venture goals.
  • Shape roadmap and GTM plans with leadership and partners.
  • Define success metrics (adoption, ROI, business value) and drive results.
  • Coordinate with client and venture studio for milestones and spin-out prep.

Skills

B2B SaaS product management
ML/LLM experience
Stakeholder communication
Strategic thinking
Ambiguity handling

Job description

Vantora is seeking a Principal Product Manager to lead the end-to-end lifecycle of a 0→1 enterprise SaaS product for the energy/industrial sector. You’ll partner with engineering, design, data science, and a corporate partner to translate ambitious concepts into scalable, market-ready solutions.

You will define the roadmap, set success metrics, run structured experiments, and ensure investor readiness for spin-out and scaling.

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