Engineering Manager, Data Platform at Multi Media LLC | Torre
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Engineering Manager, Data Platform

You'll lead and evolve a modern data platform, enabling personalization and analytics at scale.
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Full-time

Legal agreement: Employment

Compensation
USD181k - 237k/year
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Remote (for United States residents)
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Emma of Torre.ai
about 2 months ago

Requirements and responsibilities


About us: Multi Media LLC is a leader in digital innovation, focusing on creating modern products for the content creator community. Our main platform, Chaturbate, is a key player in the adult entertainment industry, bringing billions of people together worldwide. We aim to make Chaturbate the best place for users and creators to interact and connect, offering a safe, creative, and engaging space for everyone.We’re looking for an Engineering Manager to lead our data platform team and evolve our data ecosystem to reliably support personalization, experimentation, and analytics at scale. In this role, you will actively shape the mission and vision of the modern data platform and partner closely with Engineering, Product, Data Science, Machine Learning, Analytics, and Security to balance incoming business needs with long-term platform investments.As a people manager, you’ll oversee the team of data and analytics engineers, ensuring their professional growth, providing technical guidance, and fostering a culture of ownership, accountability, and high engineering standards.What you’ll do in particular: Own and define the long-term strategy and roadmap for our Data Platform, ensuring it supports personalization, experimentation, and analytics at scale.Establish and uphold standards for data quality, governance, reliability, and platform performance.Lead, mentor, and grow a high-performing team of data and analytics engineers.Drive clear prioritization across stakeholder requests while protecting foundational platform investments.Work closely with Product, ML, and Analytics teams to ensure the platform delivers trusted, well-defined, and accessible data that meets their evolving use cases.Continuously evaluate our data stack and infrastructure, recommending concrete improvements to architecture, tooling, and workflows to keep the platform scalable, reliable, and cost-efficient.RequirementsAbout you:2-5 years of people management experience leading data engineering or platform teams.7+ years of experience in data engineering, backend data systems, or platform engineering.Experience working on popular consumer applications with high-volume clickstream or event-driven data.Strong experience with modern data architectures (batch and streaming ingestion, warehouse/lakehouse modeling, orchestration, CI/CD for data).Deep experience with modern data warehousing or lakehouse architectures and leading migration or modernization efforts to improve scalability, performance, and cost efficiency.Experience with DBT and structured transformation practices.Experience supporting personalization, experimentation, or ML-driven products.Demonstrated ability to manage competing stakeholder demands while setting and protecting platform strategy.Nice to have: Expertise in DataOps and security. BenefitsWhat you’ll get:Fair and competitive base salaryFully Remote OptionalHealth, Vision, Dental, and Life Insurance for you and any dependents, with policy premiums covered by the CompanyLong & Short term disability insuranceUnlimited PTOAnnual Year-End Company ClosureOptional 401k with 5% matching12 Paid HolidaysPaid Lunches in-office, or if Remote, a $125/week stipend via SharebiteEmployee Assistance and Employee Recognition ProgramsAnd much more!The Base Salary range for this position is $181,000 to $237,000 USD. This range reflects base salary only and does not include additional compensation or benefits. The range displayed reflects the minimum and maximum range for a new hire across the US for the posted position. A candidate’s specific pay will be determined on a case-by-case basis and may vary based on the candidate’s job-related skills, relevant education, training, experience, certifications, and abilities of the candidate, as well as other factors unique to each candidate.
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