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Job Type:
Direct Hire
Remote Status:
Full Remote
Compensation:
$145,000 - $150,000 / yr
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This role requires candidates who are currently authorized to work in the U.S. without sponsorship, and C2C arrangements are not accepted. This role is fully remote.
Overview:We are seeking a seasoned Sr. Product Manager with direct ownership experience in reporting, insights, and analytics features within a SaaS product. This role is responsible for defining and delivering data-driven experiences that help customers measure performance, communicate impact, and make informed decisions. You will work closely with engineering, design, product operations, and customer-facing teams to bring clarity and innovation to complex, data-rich platforms.
Key Responsibilities:
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Own the strategy, roadmap, and execution for reporting and analytics features.
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Define KPIs, ensure data cleanliness, and build dashboards that turn large datasets into actionable insights.
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Write clear requirements and acceptance criteria, manage backlogs, and oversee delivery with engineering teams.
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Collaborate cross-functionally with design, product ops, revenue, and customer success teams to ensure alignment.
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Balance competing priorities and make thoughtful tradeoffs that reflect both customer needs and business strategy.
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Present product plans and outcomes with executive polish, influencing leadership and client stakeholders.
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Monitor product health metrics, leverage product analytics, and synthesize user feedback to guide decisions.
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Explore opportunities to leverage AI and emerging technologies to improve reporting workflows.
Qualifications:
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5+ years of SaaS product management experience (required).
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Proven track record owning reporting/insights/analytics features in a SaaS product.
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Strong background with dashboards, KPIs, and complex data visualization.
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Skilled at turning complex data into clear, actionable, and well-visualized insights.
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Professional maturity and polished communication skills, with experience presenting to executives and clients.
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Demonstrated ability to manage competing priorities and stakeholder expectations.
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Experience with product analytics tools (e.g., Heap, Pendo, Amplitude) and design collaboration tools (e.g., Miro, FigJam, LucidCharts).
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Familiarity with SQL for exploratory data analysis.
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