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Product Manager, Data Operations (Americas)

Product Manager, Data Operations (Americas)

JobgetherUS
5 days ago
Job type
  • Full-time
  • Remote
  • Quick Apply
Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Product Manager, Data Operations in the Americas .

As a Product Manager focused on Data Operations, you will play a key role in shaping and delivering solutions that enhance the reliability and observability of data and AI systems. You will collaborate closely with engineers, designers, and customers to translate complex operational pain points into actionable product improvements. This role offers the opportunity to drive end-to-end impact, from defining product capabilities to measuring adoption and engagement. You will leverage analytics and customer feedback to prioritize features and initiatives, working in a fast-growing, dynamic environment that values innovation, curiosity, and measurable outcomes. The ideal candidate thrives in ambiguity, has a strong technical understanding of data systems, and is motivated to make a tangible impact on enterprise-scale products.

Accountabilities :

  • Collaborate with cross-functional teams, including engineers and designers, to define and deliver product features that improve data and AI observability.
  • Engage with customers to understand operational workflows, pain points, and needs, translating them into actionable product requirements.
  • Use product analytics and customer feedback to prioritize features, measure adoption, and iterate on product improvements.
  • Own impact metrics, tracking engagement with alerts, reporting, and resolution workflows to ensure meaningful outcomes.
  • Drive cross-functional alignment with marketing, sales, and customer success to maximize adoption and effectiveness of product initiatives.
  • Maintain clear documentation and communicate product vision, strategy, and progress across internal teams.

Requirements

  • 2–5 years of experience in product management or adjacent fields (e.g., software engineering, sales engineering, or analytics).
  • Experience with technical SaaS products or a strong interest in data and AI infrastructure.
  • Ability to thrive in ambiguity and drive projects forward independently.
  • Strong analytical skills and comfort using data to prioritize, iterate, and measure impact.
  • Excellent communication and collaboration skills, with experience working across multiple functions.
  • Curiosity and a growth mindset, eager to learn from senior PMs and engineers and develop product craft.
  • Remote-friendly, based in the Americas.
  • Benefits

  • Competitive base salary range of $160K–$180K USD annually, plus eligibility for equity and commissions.
  • Comprehensive healthcare plans covering medical, dental, and vision.
  • 401k retirement plan and wellness stipends.
  • Home office and connectivity stipends.
  • Paid parental leave and flexible time off.
  • Generous travel policy and opportunities for professional growth in a high-growth environment.
  • Inclusive, collaborative, and diverse work culture.
  • Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching .

    When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

    🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

    📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.

    🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.

    🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

    The process is transparent, skills-based, and free of bias , focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

    Thank you for your interest!

    #LI-CL1

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    Product Manager Data • US

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