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Support the paid marketing team with the execution of digital ad buys with a focus on these specific channels: Paid Search (Google Ads), Paid Social (Meta, TikTok) and Affiliate and Influencer marketing —with the primary goal being new customer growth and revenue.
$58,000 - $84,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We've raised over $60M from an incredible community of partners, operators, and founders, including SignalFire (who led our Series A), Ryan Hoover (Product Hunt founder), Ashton Kutcher's Sound Ventures, Des Traynor (Intercom co-founder), Gradient Ventures (a Google Venture Fund), Ron Conway's fund SV Angel, Shrug Capital, and Tusk Ventures.
$160,000 - $185,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Before joining MainStreet, we helped build companies like Intuit, PayPal, Google, Apple, Coinbase, Gusto, LinkedIn, Slack, and more. Experience with data visualization tools like Tableau, Superset, Power BI, or Looker.
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Forward was founded in January 2016 by former executives and engineering leaders from Google and Uber. We are funded by some of the world's best investors and entrepreneurs including Founder's Fund, Khosla Ventures, First Round Capital, Eric Schmidt (Google/Alphabet Chairman), Marc Benioff (Salesforce Founder), and Garrett Camp (Uber co-Founder.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake,Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
$94,500 - $122,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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And orchestration (e.g. Google Workflow, AirFlow Composer), including engagement with the open source community (and potentially making contributions to such tools) A Senior Data Engineer should be deeply familiar with the tools of modern data engineering (e.g. Spark, Kafka, Storm) and of their customers, and engaged with the open source community surrounding them – potentially, even to the level of contributing pull requests.
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We develop mainly in Golang, partly in Java, and also use Terraform, Kubernetes, Redpanda, Gazette, Hadoop and multiple Google cloud technologies (BigTable, BigQuery, Datatransfer jobs , Pub/Sub etc.
$110,000 - $166,750 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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We are responsible for crafting the developer experience for Google Cloud Platform (GCP) developers in the Data Analytics space, including BigQuery, Bigtable, and others. Solid understanding of cloud services like Azure/AWS/GCP, native controls, security center, DDOS protection, cloud firewalls, CASB, express route, cloud data storage, cloud storage, Kubernetes, data sharing related technologies, NetApp, Site recovery, CDN, MS defender, MS Sentinel, AWS EC2, AWS Guard, AWS KMS, Cloud Watch, Lambda, cloud containers, etc.
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Experience with MapReduce frameworks (Hadoop, Spark, BigQuery) and/or Apache Beam/Google Dataflow. As a valued member in our data scientist team, you’ll be responsible for building and evaluating simulations of millions of miles of autonomous driving using the most advanced cloud technologies, in-house simulation frameworks, and data modeling tools.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, Google Cloud Platform, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Our Modern Data Stack is made up primarily of Python, BigQuery, dbt, Looker, Slack, Google Cloud Functions, and of course, Fivetran! Deep familiarity with advanced SQL in a modern data warehouse environment (BigQuery, Redshift, Snowflake, etc.
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Good understanding of data governance and data security. Applied knowledge of a scripting language, preferably Python, in a data engineering context. Work closely with our fantastic Data Analysts, bringing an informed, opinionated viewpoint to frameworks, tools, templates and code reviews in order to elevate code quality teamwide.
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PPC / Paid Media Expectations: We expect you to have a strong grasp of running successful paid media campaigns across the main platforms (Google Ads, Microsoft Ads, LinkedIn, X [Twitter], Meta), some experience with account-based marketing strategies (ABM) or platforms (Demandbase / 6Sense), and ideally the CRM chops (Hubspot, Marketo) to cover the entire B2B marketing funnel.
$75,000 - $95,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We have a diverse and inclusive global team comprising Professors, PhDs, MSc’s, and MBAs from Ivy Leagues, INSEAD and NUS with a broad spectrum of experience in start-ups and blue-chip companies (Google, Databricks, ZS, Abbvie, Amgen, Vodafone, Morgan Stanley, Palantir, Katana Graph to name but a few.
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You are an expert in paid marketing and demonstrate a strong grasp of the Meta, TikTok and Google platforms. You’re comfortable diving into performance data to uncover insights and inform our paid marketing strategy.
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