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Information Technology 🏢 Full Time ⭐️ Verified

Senior Product Manager - AI & Data Strategy | San Francisco, CA

NovaTech Solutions
San Francisco
Salary Estimate
USD 160.000 – USD 210.000
Live Update
27 Mei 2026
Deadline
28 Mei 2027

Job Description

The Opportunity:

NovaTech Solutions is pioneering the next generation of fintech infrastructure. We are looking for a dynamic and strategic Senior Product Manager to own the roadmap for our core AI-driven analytics platform. You will be the bridge between our world-class engineering team, creative designers, and executive leadership to deliver products that delight customers and drive market growth.

Why Join Us?

Work with a diverse team of thought leaders in a fast-paced, innovation-first environment. We offer competitive benefits, equity packages, and the chance to work on high-impact projects that redefine industry standards.

Key Responsibilities:

  • Define and execute the product vision and strategy for our AI-driven analytics suite, ensuring alignment with broader business goals.
  • Lead the end-to-end product lifecycle, from ideation and requirement gathering to launch, iteration, and post-launch analysis.
  • Collaborate closely with cross-functional teams (Engineering, Design, Sales, Marketing) to prioritize features based on business value, user needs, and technical feasibility.
  • Conduct deep-dive market research and competitive analysis to identify trends, opportunities, and gaps in the market.
  • Drive the roadmap using Agile/Scrum methodologies, ensuring timely delivery of high-quality software releases.
  • Build and maintain strong relationships with key stakeholders, translating complex technical concepts into actionable business insights.

Qualifications:

  • Minimum of 5+ years of experience in Product Management, preferably in SaaS, Fintech, or Data Analytics.
  • Proven track record of successfully launching and scaling digital products.
  • Strong analytical mindset with the ability to interpret data and metrics to drive product decisions.
  • Experience with Agile methodologies (Scrum/Kanban) and tools like Jira, Trello, or Asana.
  • Excellent communication skills, with the ability to influence stakeholders at all levels of the organization.
  • Bachelor’s degree in Computer Science, Business, or a related field (MBA is a plus).
  • Technical fluency: Understanding of software development lifecycles, APIs, and data architecture.

Skills: Product Management, Agile, Scrum, Roadmap, User Research, Data Analysis, SQL, Stakeholder Management, Agile Methodologies, Product Lifecycle Management

Responsibilities

  • Define and execute the product vision and strategy for our AI-driven analytics suite, ensuring alignment with broader business goals.
  • Lead the end-to-end product lifecycle, from ideation and requirement gathering to launch, iteration, and post-launch analysis.
  • Collaborate closely with cross-functional teams (Engineering, Design, Sales, Marketing) to prioritize features based on business value, user needs, and technical feasibility.
  • Conduct deep-dive market research and competitive analysis to identify trends, opportunities, and gaps in the market.
  • Drive the roadmap using Agile/Scrum methodologies, ensuring timely delivery of high-quality software releases.
  • Build and maintain strong relationships with key stakeholders, translating complex technical concepts into actionable business insights.

Qualifications

  • Minimum of 5+ years of experience in Product Management, preferably in SaaS, Fintech, or Data Analytics.
  • Proven track record of successfully launching and scaling digital products.
  • Strong analytical mindset with the ability to interpret data and metrics to drive product decisions.
  • Experience with Agile methodologies (Scrum/Kanban) and tools like Jira, Trello, or Asana.
  • Excellent communication skills, with the ability to influence stakeholders at all levels of the organization.
  • Bachelor’s degree in Computer Science, Business, or a related field (MBA is a plus).
  • Technical fluency: Understanding of software development lifecycles, APIs, and data architecture.

Ready to Take on This Challenge?

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