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    Engineering Manager - Chicago, United States - VidMob

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    Description
    Shape the future with intelligence and creativity


    We are looking for those passionate about a world where technology and creativity converge, where incredible work is inspired by brilliant analysis.

    Bold creators, owners and achievers. Ready to bring everything they've got, to build with care and consideration and deliver truly Intelligent Creative.

    We're looking for an Engineering Manager to lead our Creative Analytics team.

    This person will work closely with engineers, product managers, designers, and stakeholders to create sophisticated, insightful, trusted, and performant analytics solutions.

    The Engineering Manager will be a player/coach, managing a small team while also contributing directly to our Creative Analytics solution.


    Responsibilities:
    Exercise creative problem solving to address the technical challenges inherent with big data in order to drive rapid delivery of customer value
    Enable and ensure a highly productive team, removing blockers, instructing on technical options, and aligning skills with opportunities
    Integrating product, design, and engineering goals to strike the right balance between new product features and long term system health
    Design, build, and maintain services to achieve the highest quality of service and continue to meet large scale scalability and meet consumer grade visualization performance SLAs
    Set the bar for technical excellence and service ownership and promote patterns and best practices for implementation, testing, observability, deployment, and release orchestration
    Work with product managers, front-end engineers, and product designers to define the product requirements, scope, and business impact
    Lead advanced analytics technical designs, code reviews and apply advanced data correctness testing strategies
    A player/coach, you're comfortable with hands on coding work and will roll up your sleeves to get the job done (there will be a coding test conducted in the interview process)

    Qualifications:
    Bachelor's in Computer Science, required
    Experience with large-scale noSQL databases (Snowflake, Databricks, BigQuery, etc.), required
    8+ years of experience in full stack software engineering
    3+ years of experience working with Amazon Web Services (AWS), including proficiency in core services (EC2, S3, RDS, Lambda, API Gateway), AWS architecture and best practices, serverless and container-based deployment, infrastructure management (CloudFormation or Terraform), and familiarity with AWS CLI and SDKs
    3+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, recommendation system, graph mining, deep learning
    Strong understanding of AWS security, authentication, and authorization mechanisms (IAM, Cognito, AWS KMS), as well as experience with monitoring, logging, and troubleshooting tools such as CloudWatch, X-Ray, and AWS Config
    Significant hands on experience with TypeScript or Java
    Strong knowledge of SQL and NoSQL databases
    Experience with visualization driven products
    Experience with Generative AI and LLM, a plus
    Experience in AdTech or MarTech startups, a plus
    About VidMob

    VidMob is the leading creative effectiveness platform, trusted by the biggest global brands to drive ROI through AI-driven creative data.

    With unmatched AI & ML technology and the most connections to the world's leading digital channels like Google, Meta, Amazon Ads, TikTok, LinkedIn, Twitter, Snap, Pinterest, Hulu & Reddit, VidMob delivers powerful creative insights that result in meaningful business impact.

    Clients can effectively measure creative quality, and learn their brand's best practices in an end-to-end platform to get the most out of every media dollar they invest.

    VidMob is a mission-driven organization, donating over 1% annually to fund pro bono creative projects for nonprofits.
    Learn more about VidMob and VidMob Gives at

    #J-18808-Ljbffr


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