GTM Insights Automation Lead

Reddit, Inc.

San Francisco (CA)

Hybrid

USD 168,000 - 235,000

Full time

14 days+

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Benefits offered by this job

Comprehensive Healthcare Benefits
401k with Employer Match
Global Benefit programs
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Volunteer Time Off
Generous Paid Parental Leave

Job summary

Reddit, Inc. is seeking a solution builder focused on Go-to-market Insights and Automation to join our Central Ops team. You will design and implement workflows that automate our reporting ecosystem, ensuring sales teams have insights without manual overhead.

As a member of Central Ops, you will bridge strategy and execution across a sophisticated tool stack, driving data quality, governance, and innovative processes for scalable, reliable analytics.

Qualifications

  • 5+ years of analytics, data science, data engineering, or a related field.
  • Strong SQL skills with complex, performant queries and optimization.
  • Proficiency in Python or Go for building data pipelines and automation.
  • Strategic thinking and strong problem solving with data-driven decisions.
  • Ability to operate in ambiguity and own end-to-end solutions.

Responsibilities

  • Execute technical builds across core tools to automate reporting.
  • Design data models and robust pipelines aligned with business metrics.
  • Collaborate with sales and stakeholders to deliver actionable insights.
  • Establish governance and best practices for reporting consistency.
  • Proactively identify data quality issues and improve the data platform.

Skills

SQL
Python
Go
Analytical thinking
Ownership

Tools

BigQuery
Matik
Clay
Gong

Job description

Reddit, Inc. is seeking a solution builder focused on Go-to-market Insights and Automation to join our Central Ops team. You will design and implement workflows that automate our reporting ecosystem, ensuring sales teams have insights without manual overhead.

As a member of Central Ops, you will bridge strategy and execution across a sophisticated tool stack, driving data quality, governance, and innovative processes for scalable, reliable analytics.

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