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data ops generic support engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Must Have Technical/Functional Skills
</div><ul><li> Experience in data engineering or platform support.
</li></ul><ul><li> Hands-on experience with Snowflake, Talend/TMC, Qlik Replicate, and Power BI operations, Power Automate
</li></ul><ul><li> Strong SQL skills and performance tuning across data warehouse and BI tools.
</li></ul><ul><li> Familiarity with ServiceNow workflows and ITIL-based support models.
</li></ul><ul><li> Scripting experience in Python or PowerShell for automation.
</li></ul><ul><li> Understanding data quality checks, schema drift detection, and observability.
</li></ul><ul><li> Experience with access control, RBAC, and audit processes.
</li></ul><ul><li> Deep experience in ETL/replication tools and cloud data warehouses
</li></ul><ul><li> Exposure to change management and release processes
</li></ul><ul><li> Ability to troubleshoot complex data pipeline issues
</li></ul><div>Roles &amp; Responsibilities
</div><div>1. Provide L1.5/L2 support for data platforms including Snowflake, Talend/TMC, Qlik Replicate, and Power BI.
</div><div>2. Monitor ETL/ELT pipelines and resolve job failures, schema drift, and data quality issues.
</div><div>3. Execute deployments, patching, and upgrades in coordination with DevOps and infrastructure teams.
</div><div>4. Automate routine support tasks using scripting (Python, PowerShell).
</div><div>5. Manage incidents, service requests, and problems using ITSM tools like ServiceNow.
</div><div>6. Support change management processes, including release coordination and documentation.
</div><div>7. Collaborate with data engineers and architects during data migration and transformation phases.
</div><div>8. Ensure compliance with SLAs, audit requirements, and security policies (e.g., RBAC, access control).
</div><div>9. Participate in month-end processing, data validation, and reconciliation activities.
</div><div>Maintain runbooks, SOPs, and knowledge base for operational continuity.</div><div></div><div><br>
</div><div></div><br>
<div>Salary Range: $100,000 to $120,000 per year
</div></div></div></div><div><div><div><b>Location</b></div>
<div>New York, NY</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Developer</div>
</div><div><div><b>Job Id</b></div>
<div>404686</div>
</div><div><div><b>Desired Skills</b></div>
<div>Talend</div>
</div><div><div><b>Salary Range</b></div>
<div>$100,000-$120,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

Data Ops (Generic) Support Engineer

Cube

<div>
 <p>
  <strong>
   Cube is the financial intelligence platform built for the AI-era.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The world has evolved, but FP&amp;A is still trapped in manual reconciliation cycles. While most platforms try to replace the spreadsheets finance teams love, Cube is different: we are the intelligent finance layer that unifies fragmented data into a centralized command center. By automating data management, we empower the Office of the CFO to stop moving numbers and start driving the strategic analysis that turns data into growth.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We don&rsquo;t compete with AI; we make it trustworthy. In a world where AI is often only 80% right, Cube provides the 100% truth and governance finance teams need to turn data into growth. Our mission is clean data, everywhere, allowing the modern Office of the CFO to move beyond manual data management and lead with strategic certainty.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Cube has raised &gt;$65M and is backed by top-tier investors such as Battery Ventures and Mayfield. Together, we&rsquo;re building a culture that challenges and celebrates everyone with a path to growth. We&rsquo;re guided by our company values: act with urgency, keep it simple, build with joy, obsess over the details, own the outcome, raise the bar, champion our customers, and win together. As we enter our next phase of growth, we believe having the right Cubers on our team will be the reason we win.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Overview
  </strong>
 </p>
 <p>
  We&rsquo;re seeking a highly organized, proactive, and people-centric
  <strong>
   Office Operations Manager
  </strong>
  to support Cube&rsquo;s leadership, own office operations, and help drive key people &amp; recruiting initiatives. This unique role is a blend of traditional administrative support, operational excellence, and hands-on people operations work &mdash; perfect for someone who thrives in a fast-paced startup environment and enjoys wearing many hats.
 </p>
 <p>
  You will be the backbone of seamless execution across executive support, team-oriented operational workflows, and early-stage people ops efforts that help keep our culture strong and our teams growing.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You&rsquo;ll Do
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Executive Support
  </strong>
 </p>
 <ul>
  <li>
   Provide high-level support to senior leadership, including calendar management, meeting coordination, travel planning, and inbox triage.
  </li>
  <li>
   Draft, proof, and distribute internal and external communications on behalf of leadership.
  </li>
  <li>
   Assist with event prep, board materials, and cross-functional coordination as needed.
  </li>
 </ul>
 <p>
  <strong>
   Office Management
  </strong>
 </p>
 <ul>
  <li>
   Oversee day-to-day office operations; supplies, vendor relationships, facilities coordination, and day-to-day logistics.
  </li>
  <li>
   Maintain a welcoming, professional, efficient workspace (in-office and hybrid environments).
  </li>
  <li>
   Organize company-wide events, team offsites, and internal gatherings that build community.
  </li>
 </ul>
 <p>
  <strong>
   People Operations
  </strong>
 </p>
 <ul>
  <li>
   Partner with recruiting to support scheduling, candidate communication, interview coordination, and onboarding logistics.
  </li>
  <li>
   Assist with early-stage HR processes including new hire orientation, recordkeeping, and employee lifecycle tracking.
  </li>
  <li>
   Support employee engagement efforts, benefits communication, and people programs that enhance culture and retention.
  </li>
  <li>
   Help refine and implement scalable people ops processes, systems, and documentation across the organization.
  </li>
 </ul>
 <p>
  <strong>
   What Success Looks Like
  </strong>
 </p>
 <ul>
  <li>
   Leadership and teams feel supported, operational needs are anticipatorily addressed, and people ops processes contribute to a positive employee experience.
  </li>
  <li>
   The office environment runs smoothly, events are executed well, and executive workflows scale effectively.
  </li>
  <li>
   Recruiting, onboarding, and internal communications consistently reflect Cube&rsquo;s culture and values.
  </li>
 </ul>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Proven experience in executive support, office or operations management, and exposure to people operations or HR tasks.
  </li>
  <li>
   Strong organizational, communication, and project management skills.
  </li>
  <li>
   Comfortable handling sensitive and confidential information.
  </li>
  <li>
   Demonstrated ability to work independently in a fast-moving environment and pivot between strategic and tactical priorities.
  </li>
  <li>
   Experience with HRIS/ATS, scheduling tools, and collaboration platforms a plus.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Full-Time Employee Benefits
  </strong>
 </p>
 <ul>
  <li>
   We provide 100% covered employee medical, dental, and vision insurance options, including FSA/HSA options plus free memberships to OneMedical, Teladoc, and Talkspace.
  </li>
  <li>
   Our flexible paid vacation and sick/mental health time guidelines help you get the time and space you need.
  </li>
  <li>
   We offer stock options to all full-time employees of Cube, as we want you to be connected to the success of the company.
  </li>
  <li>
   We offer 12 weeks of 100% paid parental leave for the birthing parent.
  </li>
  <li>
   We offer each Cuber a quarterly learning budget to spend on books, classes, or events that support your development.
  </li>
  <li>
   You&rsquo;ll be joining an experienced team of tech startup leaders who are eager to work with you and provide support and mentorship!
  </li>
  <li>
   You&rsquo;ll work for a company that our
   <u>
    customers are truly excited about
   </u>
   !
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  #LI-Hybrid
 </p>
</div>


Office Manager

Edra

<div>
 <strong>
  About Edra
  <br/>
  <br/>
 </strong>
 Edra is solving one of the hardest problems in enterprise AI: AI models are generic but company processes are specific. We build AI agents that learn how processes actually run, and then run their operations.
 <br/>
 <br/>
 We're a Series A startup, backed by Sequoia and other leading VC firms, and we're growing our team in New York and London. We're a deeply technical team of engineers, AI researchers, and strategists with a high bar for talent and a shared belief that exceptional people are the foundation of everything great we'll build.
 <br/>
 <br/>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 We're looking for Full Stack Engineers who care deeply about the craft of building software: strong typing, thoughtful API design, robust data modeling, and interfaces that are a pleasure for both users and other engineers to work with. You won't be building AI models&ndash;you'll be building everything around them: the platform, workflows, user-facing experiences, integrations, and observability that make our AI useful in the real world. As an early engineer at Edra, you'll shape not just the product but the engineering culture, tooling choices, and technical foundations the company is built on.
 <br/>
 <br/>
 We work deliberately and deeply. There's no separation between "building it" and "shipping it"--you'll go from whiteboard to production and own the outcome. We'd rather build something thoughtfully than ship something fragile, and we treat velocity and quality as complementary, not competing.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and build platform systems in Python (FastAPI)--from API contracts to database schema and infrastructure&ndash;and high-quality user-facing experiences in TypeScript and React, with an emphasis on clean component design, strong typing, and maintainable frontends
  </li>
  <li>
   Build shared TypeScript and Python libraries, component systems, and internal tooling that make the rest of the engineering team more productive. Define and enforce patterns, shared types, and contracts across the frontend and API boundary
  </li>
  <li>
   Own your work fully: gather context, manage dependencies, and drive tasks to completion without a product manager handing you tickets. You might design a schema in the morning, build a React component in the afternoon, and debug a deployment issue before end of day
  </li>
  <li>
   Contribute to the direction and design of our product. Work closely with design, reason clearly about interface decisions, and participate in weekly product meetings to understand how customers and forward-deployed engineers use what you build
  </li>
  <li>
   Build and maintain connectors, integrations, and data pipelines that connect our platform to external systems
  </li>
  <li>
   Have direct influence on technical direction; choose tools, set patterns, and establish conventions the team will build on for years. Collaborate daily with a small, high-caliber team of engineers and AI specialists
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We&rsquo;re Looking For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience in software engineering (but a computer science degree is not necessarily required)
  </li>
  <li>
   A love of writing Python and TypeScript to a genuinely high standard&ndash;well-modeled, well-typed, and well-documented. Strong typing feels like a superpower, not a chore
  </li>
  <li>
   You light up when designing a clean database schema and take real pride in getting data models right
  </li>
  <li>
   You have good visual and interaction judgment, even if you're not a designer by title
  </li>
  <li>
   You've built libraries, SDKs, or internal tooling that made other developers' lives easier (and you&rsquo;ve enjoyed it)
  </li>
  <li>
   You're at your best when you own a problem end to end&ndash;comfortable with ambiguity and energized by turning a vague problem into a well-scoped solution
  </li>
  <li>
   You're drawn to building foundational systems from scratch&ndash;greenfield work where your decisions compound over time excites you
   <br/>
   <br/>
  </li>
 </ul>
 Don't meet all of the above? We'd still love to hear from you. We're looking for exceptional people with unique skills and interests, and we know that great people have different backgrounds and skillsets. If your primary interest is building agentic systems, working with LLMs, or doing applied ML, check out our AI Engineering role&ndash;it might be a better fit.
 <br/>
 <br/>
 <strong>
  Learn More About Edra
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Watch our Series A announcement video
  </li>
  <li>
   Read our blog post from our launch
  </li>
  <li>
   Learn more about what we're building
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  A Few Details
  <br/>
  <br/>
 </strong>
 Edra is an equal opportunity employer and we encourage applications from individuals of all backgrounds. Edra does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital status, sexual orientation, gender identity, veteran status, or any other legally protected characteristic.
 <br/>
 <br/>
 Compensation Range: $180K - $250K
 <br/>
 <br/>
</div>


Software Engineer - Full Stack (New York)

<div>
 <p>
  <strong>
   Role: Senior Data Analytics Engineer with AI Initiatives (Must)
  </strong>
 </p>
 <p>
  <strong>
   Location: New York/ Remote
  </strong>
 </p>
 <p>
  <strong>
   Experience: 5 - 10 years
  </strong>
 </p>
 <p>
  <strong>
   Duration: Full time
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Description:
  </strong>
 </p>
 <p>
  We are looking for a Lead Engineer to build and maintain scalable data pipelines and data platforms that support analytics, business Intelligence, reporting, and AI initiatives. In this role, you will work closely with data architects, analysts, and business stakeholders to develop reliable data solutions and ensure high-quality data is available across the organization.
 </p>
 <p>
  This is a
  <strong>
   hands-on engineering role
  </strong>
  focused on designing efficient data pipelines, improving data infrastructure, and enabling teams to leverage data effectively.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design, build, and maintain scalable
   <strong>
    data pipelines and ETL/ELT workflows
   </strong>
   to ingest and transform data from multiple sources
  </li>
  <li>
   Develop and optimize
   <strong>
    batch and near real-time data processing pipelines
   </strong>
   for analytics and reporting
  </li>
  <li>
   Build and maintain
   <strong>
    data warehouse and data lake structures
   </strong>
   to support business intelligence and analytics use cases
  </li>
  <li>
   Implement and maintain
   <strong>
    data models
   </strong>
   that support efficient querying and reporting
  </li>
  <li>
   Improve performance and scalability of data systems through
   <strong>
    query optimization, indexing, and partitioning strategies
   </strong>
  </li>
  <li>
   Implement
   <strong>
    data quality checks, monitoring, and logging
   </strong>
   to ensure reliability of data pipelines
  </li>
  <li>
   Exposure to
   <strong>
    AI initiatives
   </strong>
   and experience
   <strong>
    building data pipelines
   </strong>
   supporting
   <strong>
    AI workflows
   </strong>
  </li>
  <li>
   Work with data architects and engineering teams to implement
   <strong>
    scalable data platform designs
   </strong>
  </li>
  <li>
   Collaborate with analysts, BI developers, and business stakeholders to deliver data solutions that support business needs
  </li>
  <li>
   Maintain documentation for data pipelines, data models, and data workflows
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    5 - 10 years of experience
   </strong>
   in Data Engineering and GenAI and Data Scientist and AI Engineer
  </li>
  <li>
   Strong experience with
   <strong>
    SQL and Python
   </strong>
   for data processing and transformation
  </li>
  <li>
   Experience building and maintaining
   <strong>
    ETL/ELT pipelines
   </strong>
  </li>
  <li>
   Solid understanding of
   <strong>
    data warehousing concepts and dimensional data modeling
   </strong>
  </li>
  <li>
   Experience working with
   <strong>
    cloud data platforms or modern data infrastructure
   </strong>
  </li>
  <li>
   Familiarity with
   <strong>
    workflow orchestration tools
   </strong>
   such as
   <strong>
    Airflow
   </strong>
   or similar
  </li>
  <li>
   Understanding of
   <strong>
    API-based data ingestion and data integration patterns
   </strong>
  </li>
  <li>
   Strong problem-solving and collaboration skills
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education
  </strong>
 </p>
 <p>
  Bachelor's or master's degree in computer science
  <strong>
   , Engineering, Information Systems, or a related field
  </strong>
  , or equivalent practical experience.
 </p>
</div>


AI Data Engineer

RSC Solutions

<div>
 <br/>
 <br/>
 <strong>
  TITLE: Senior Data Platform Engineer w/DBT &amp; Airflow
  <br/>
 </strong>
 <strong>
  LOCATION: New York City (midtown)
  <br/>
  HYBRID ONSITE 4 DAYS IN THE OFFICE
  <br/>
  NO C2C 3RD PARTY VENDORS!!
  <br/>
  NO RELOCATION!!
  <br/>
  <br/>
 </strong>
 <strong>
  JOB DESCRIPTION:
  <br/>
  EXPERIENCED DATA ENGINEER MUST HAVE HANDS ON EXPERIENCE WITH DEPLOYMENTS, DBT, AIRFLOW, PYTHON AND AWS.
  <br/>
  <br/>
 </strong>
 The Data Platform Engineer will be responsible for the design, build, and maintenance of Company's data platforms used for both analytics and for the integration of business and customer-facing applications. This role plays a critical part in advancing cloud-native data architecture and enabling reliable, scalable analytics and production data use cases. The Data Platform Engineer will design, build, and operate core components of the enterprise data platform, including robust data pipelines, scalable cloud infrastructure, and optimized data models that power business intelligence and operational systems across the organization. This position requires strong hands-on engineering expertise along with the ability to contribute to platform-level architecture, ensuring the data ecosystem is performant, secure, and positioned to scale with evolving business needs.
 <br/>
 <br/>
 <br/>
 <strong>
  Specific Functions/Activities&nbsp;
 </strong>
 <strong>
  SUMMARY:
 </strong>
 <ul>
  <li>
   Design, build, and maintain scalable, reliable AWS-based data architecture
  </li>
  <li>
   <strong>
    Develop and optimize production-grade Python data pipelines
   </strong>
  </li>
  <li>
   <strong>
    Own end-to-end ELT workflows using DBT and Apache Airflow
   </strong>
  </li>
  <li>
   Design, implement, and optimize data models to support analytics and operational reporting
  </li>
  <li>
   Improve platform reliability, observability, and performance across the data stack
  </li>
  <li>
   Contribute to architectural decisions for scalability, security, and cost optimization
  </li>
  <li>
   Partner with DevOps to implement CI/CD, infrastructure-as-code, and automated deployments
  </li>
  <li>
   Evaluate and recommend new technologies to evolve MSG's data platform
  </li>
 </ul>
 <strong>
  REQUIRED EXPERIENCE:
 </strong>
 <ul>
  <li>
   <strong>
    4-7 years experience building and maintaining production data pipelines
   </strong>
  </li>
  <li>
   <strong>
    4 years Python development experience (production-grade code)
   </strong>
  </li>
  <li>
   <strong>
    2 years experience with DBT
   </strong>
  </li>
  <li>
   <strong>
    2 years experience with Apache Airflow (or equivalent orchestration tools)
   </strong>
  </li>
  <li>
   Strong SQL and data modeling expertise (dimensional normalized modeling)
  </li>
  <li>
   Hands-on experience with AWS data services (S3, Redshift, Glue, Athena, DynamoDB)
  </li>
  <li>
   Experience designing scalable data architectures in cloud environments
  </li>
  <li>
   Experience troubleshooting and supporting production systems
  </li>
  <li>
   Strong communication skills and ability to work directly with business stakeholders
  </li>
  <li>
   Bachelor's degree in Computer Science, Engineering, or related field
  </li>
 </ul>
 <strong>
  Preferred
 </strong>
 <ul>
  <li>
   Infrastructure as Code (Terraform or CloudFormation)
  </li>
  <li>
   CI/CD and DevOps practices
   <br/>
  </li>
 </ul>
</div>


Senior Data Engineer with DBT and Airflow-Onsite NYC

Locality

<div><p>Locality is seeking a Senior Data Engineer whom will serve as the primary internal owner of our Audience Engine, spanning data ingestion, identity resolution, automation, and AI enablement. This role emphasizes hands on platform stewardship today, with a clear path to supporting future expansion of the HH Identity Graph and applied AI use cases.
</p><ul><li>Establish and own technical management of the Audience Engine, transitioning knowledge from external partners and building a scalable, internally managed data platform</li><li>
Reduce reliance on third-party vendors while maintaining high standards for platform reliability, uptime, and data integrity across all pipelines and integrations</li>
Architect, own, and continuously optimize Databricks Bronze Silver<li> Gold pipelines to support large scale audience ingestion, enrichment, and activation workflows</li><li>
Ensure the platform is scalable and cost efficient through effective pipeline optimization and resource management</li><li>
Proactively monitor, troubleshoot, and resolve ingestion failures, schema drift, and data quality issues across batch and near real time data pipelines</li><li>
Lead identity resolution across datasets including HHID, DSID, MAID, IP, and campaign logs, improving matching logic to strengthen the Household Identity Graph</li><li>
Guarantee accurate and timely audience publication by maintaining robust downstream data delivery processes and SLAs across activation platforms and partners</li><li>
Own and maintain integrations with external data and activation partners (e.g., Experian, FreeWheel, DSPs), ensuring seamless data exchange and operational reliability</li><li>
Partner cross functionally with Product, Analytics, and Ad Operations teams to onboard new data sources and activation endpoints, enabling new use cases and revenue opportunities</li><li>
Support and operationalize applied AI/ML workflows within Databricks, including integration with tools like Akkio, and translate business needs into production-ready data features and datasets</li><li>
Design and implement scalable data models and query-ready datasets that power BI reporting, audience insights, and predictive modeling, ensuring alignment with downstream analytics requirements</li><li>
Enforce data governance, lineage, and documentation standards while ensuring compliance with privacy, consent, and data usage regulations across all audience and identity data systems</li></ul><ul><li>
6+ years of experience as a Data Engineer or Data Platform Engineer, ideally within advertising</li><li>
Strong hands on experience with Databricks, Spark, and modern cloud data platforms</li><li>
Proven experience designing and maintaining multi-layered data architectures (Bronze / Silver / Gold)</li><li>
Deep expertise in SQL and proficiency in Python or another scripting language</li><li>
Experience working with identity graphs, audience data, and complex join logic across large datasets</li><li>
Hands on experience building and managing automated data pipelines and third-party data integrations</li><li>
Familiarity with adtech, martech, or audience activation platforms, including exposure to identity providers such as Experian or similar vendors</li><li>
Practical experience supporting AI/ML workflows or AI-enabled analytics, with an understanding of data quality, schema design, and performance optimization in cloud-scale environments</li></ul><p>
</p><p><i>Compensation for the role includes a competitive base salary in the range from $75-$100/hr (dependent on years of experience, level of education obtained, as well as applicable skillset), and an excellent benefits package (including but not limited to health care benefits, retirement benefits and paid days off).
</i></p><p></p><p><i>At Locality, we believe our biggest asset is our people. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. Locality values and solicits applications from all qualified candidates without regard to actual or perceived race, creed, color, religion, sex, gender, age, physical or mental disability, medical condition, sexual orientation, gender identity and/or expression, alienage or national origin, ancestry, citizenship status, marital status, military or veteran status, genetic information, or any other basis protected by federal, state, or local law.</i></p></div>

Sr. Data Engineer (Contract to Perm)

MrBeast

<div>
 <strong>
  About Us
 </strong>
 <p>
  Beast Industries is a multifaceted media and entertainment company founded by Jimmy Donaldson, popularly known as MrBeast, the most watched person in the world. Renowned for revolutionizing digital content creation, Beast Industries encompasses a diverse portfolio of ventures that extend far beyond its origins on YouTube. With a mission to entertain, inspire, and create significant social impact, Beast Industries operates across various domains including digital media, philanthropy, consumer products, and innovative business initiatives. At Beast Industries, we believe in the transformative power of digital media and its potential to entertain, educate, and effect positive change. Our commitment to innovation, creativity, and philanthropy drives us to explore new frontiers, create unforgettable experiences, and build a legacy that inspires future generations.
 </p>
 <p>
  Reports to: Director of Commercial Media Strategy &amp; Solutions
 </p>
 <p>
  Location: New York, Los Angeles, Chicago
 </p>
 <strong>
  About the Role:
 </strong>
 <p>
  The Paid Media Solutions Lead combines technical media expertise and client-facing strategy in developing and executing Ad sales solutions that blend paid media and branded content across MrBeast&rsquo;s ecosystem, including YouTube, social platforms, and owned-and-operated channels.
  <br/>
  <br/>
  In this role, you&rsquo;ll be responsible for developing first-of-their-kind media solutions for campaign implementation, measurement and long-term partnership goals.&nbsp; You&rsquo;ll work cross-functionally with sales, partner solutions, and platform teams to ensure flawless execution and drive full-funnel performance for the world&rsquo;s leading brands.
 </p>
 <strong>
  What You'll Do:
 </strong>
 <ul>
  <li>
   <strong>
    Be a paid media engineer:
   </strong>
   You'll be the go-to person for turning paid media across platforms (YouTube, social, etc.) into a well-oiled machine. Handle trafficking, tagging, and delivery using tools like Google Ad Manager (GAM), YouTube Analytics, and other measurement tools
  </li>
  <li>
   <strong>
    Mix tech and strategy:
   </strong>
   It's all about using your media smarts to create killer ad solutions for clients. You'll be constantly trying out new ways to make campaigns better, from start to finish
  </li>
  <li>
   <strong>
    Team player:
   </strong>
   You'll work with sales, partner solutions, and platform teams to get awesome workflows and quality checks in place for super consistent campaign execution
  </li>
  <li>
   <strong>
    Optimize everything:
   </strong>
   Make sure all campaigns are performing their best for viewability, completion, and other client goals
  </li>
 </ul>
 <strong>
  What We're Looking For:
 </strong>
 <ul>
  <li>
   <strong>
    Experience:
   </strong>
   5+ years in media strategy, digital ad ops, or performance marketing, ideally at a publisher or media agency
  </li>
  <li>
   <strong>
    Comfort &ldquo;in the weeds&rdquo;:
   </strong>
   Familiar with GAM, DV360, YouTube Ads, and ideally TikTok/Meta ad platforms
  </li>
  <li>
   <strong>
    Cross-functional champ:
   </strong>
   You can easily work with creative, sales, and production teams
  </li>
  <li>
   <strong>
    Measurement pro:
   </strong>
   Know your way around full-funnel measurement tools (brand lift, attribution, pixel tracking, etc.)
  </li>
  <li>
   <strong>
    Go-getter attitude:
   </strong>
   Thrive in a fast-paced, high-growth environment, and love working with others
  </li>
 </ul>
 <strong>
  Benefits
 </strong>
 <strong>
  The Perks, Why Work On the MrBeast Team
 </strong>
 <p>
  We are redefining what entertainment and storytelling look like at global scale. Every piece of content we publish reaches millions and influences culture in real time. This is your opportunity to lead the team that decides how those moments come to life across every screen.
 </p>
 <ul>
  <li>
   Competitive Salary
  </li>
  <li>
   Generous Medical (Blue Cross Blue Shield), Dental, Vision and company-paid Life Insurance&nbsp;
  </li>
  <li>
   Company contributions to employee Health Savings Accounts (HSA)&nbsp;
  </li>
  <li>
   401k Plan with Safe Harbor company-matching
  </li>
  <li>
   Flexible vacation policy and paid company holidays
  </li>
  <li>
   Company-provided technology package&nbsp;
  </li>
  <li>
   Relocation assistance where applicable, including travel and company-provided housing for the first 90 days
  </li>
 </ul>
</div>


Paid Media Solutions Lead

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