Found

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🏒 Reddit
πŸ‘₯ 1001-5000πŸ’° $410,000,000 Series F over 3 years agoπŸ«‚ Last layoff almost 2 years agoNewsContentSocial NetworkSocial Media
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Jobs at this company:

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πŸ“ United States

🧭 Full-Time

πŸ’Έ 195000.0 - 257000.0 USD per year

πŸ” Banking

  • 8+ years in a PM capacity, leading end-to-end user-facing product development.
  • Direct previous experience working on payments or money movement is required.
  • You have a track record of building 0 β†’ 1 business opportunities that delight customers and deliver business value.
  • You are a business-minded product owner.
  • Data-driven prioritization bias- you are finger-tippy with data and excited to build a roadmap prioritized by both quantitative and qualitative inputs.
  • Build & maintain the roadmap for your Banking, leveraging research and data insights to prioritize feature improvements and net-new feature buildout.
  • Partner closely with Engineering, Design, Data, and Compliance to bring this roadmap to life, ensuring feature launches are bug-free, hit SLAs, and are fully compliant with regulations governing this space.
  • Drive OKRs, Quarterly goal-setting, and regular check-ins on progress-against-goals for your business area.

SQLData AnalysisProduct ManagementProduct DevelopmentProduct AnalyticsREST APICommunication SkillsAccountingComplianceStrategic thinkingFinancial analysisBookkeeping

Posted 1 day ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 181000.0 - 209000.0 USD per year

πŸ” Fintech

  • 5+ years experience in data infrastructure, data engineering, or analytics engineering roles.
  • Experience with relational databases (Postgres/MySQL), dbt, and Airflow
  • Advocated for and rolled out new technologies or open-source frameworks that empower data and product organizations to make data driven decisions.
  • Experience working with cloud-native big data infrastructure on the public cloud (GCP/AWS/Azure, BigQuery/Redshift/Synapse).
  • Ability to write clean and maintainable code (primarily Python).
  • Design, build, and operate large scale data infrastructure systems across multiple environments to store, aggregate, and progress large amounts of data.
  • Build a data platform-as-a-service for internal customers, ensuring data integrity, sanity, tagging, and discoverability.
  • Bridge the gap between engineering and analytics, helping inform the roadmap for data infrastructure for the company.
  • Implement various ETL infrastructures for the company’s topline metrics, reporting, and product functionality.

AWSPostgreSQLPythonSQLData AnalysisETLGCPMachine LearningAirflowData engineering

Posted 1 day ago
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πŸ“ San Francisco, Seattle, Portland, New York

🧭 Full-Time

πŸ’Έ 181000.0 - 235000.0 USD per year

πŸ” Software Development

  • 5+ years of experience with backend and frontend frameworks.
  • Passion for learning and growing as an engineer and team member.
  • Knowledge of Ruby on Rails, React, Typescript, MySQL, and Redis.
  • Collaborate with other engineers to build and ship both user and internal facing features.
  • Work directly with designers and product managers to design and ideate on features.
  • Determine how we will build, test, deploy, and scale features.
  • Build secure and maintainable code.

Backend DevelopmentSoftware DevelopmentSQLFrontend DevelopmentFull Stack DevelopmentMySQLRuby on RailsTypeScriptRedisReactCI/CDRESTful APIsAccountingSoftware EngineeringDebuggingBookkeeping

Posted 1 day ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 181000.0 - 235000.0 USD per year

πŸ” Financial Services

  • 5+ years of experience with backend and frontend frameworks and technologies.
  • 2+ years of experience with data systems or machine learning.
  • Advocated for and rolled out new technologies / open-source frameworks that empowered prior engineering organizations.
  • Experience with relational databases and working with large-scale databases.
  • Collaborate with product engineering, risk operations, or other cross-functional teams to build and ship products.
  • Have ownership across a large breadth of surfaces - frontend systems, batch and stream data processing pipelines, and backend services.
  • Build, maintain, and iterate on code quickly and safely.
  • Mentor other engineers and contribute to the direction of the team.

AWSBackend DevelopmentPythonSoftware DevelopmentSQLData AnalysisExpress.jsFrontend DevelopmentFull Stack DevelopmentGitJavaJavascriptMachine LearningReact.jsAlgorithmsData engineeringData StructuresREST APICI/CDMicroservicesNodeJS

Posted 1 day ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 205000.0 - 235000.0 USD per year

πŸ” Fintech

  • 8+ years experience in data infrastructure, data engineering, or analytics engineering roles.
  • Experience with relational databases (Postgres/MySQL), dbt, and Airflow
  • Advocated for and rolled out new technologies or open-source frameworks that empower data and product organizations to make data driven decisions.
  • Experience working with cloud-native big data infrastructure on the public cloud (GCP/AWS/Azure, BigQuery/Redshift/Synapse).
  • Ability to write clean and maintainable code (primarily Python).
  • Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
  • Design, build, and operate large scale data infrastructure systems across multiple environments to store, aggregate, and progress large amounts of data.
  • Build a data platform-as-a-service for internal customers, ensuring data integrity, sanity, tagging, and discoverability.
  • Bridge the gap between engineering and analytics, helping inform the roadmap for data infrastructure for the company.
  • Implement various ETL infrastructures for the company’s topline metrics, reporting, and product functionality.
  • Contribute to the development of best practices, standards, and frameworks for data engineering at Found.
  • Provide mentorship and guidance to help grow and develop the skills of the broader data team, fostering a culture of continuous learning and excellence.

AWSPostgreSQLPythonSQLCloud ComputingData AnalysisETLGCPMachine LearningMySQLAirflowAzureData engineeringCommunication SkillsCollaborationMentoringData visualizationData modeling

Posted 1 day ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 180000.0 - 235000.0 USD per year

πŸ” Fintech

  • 6+ years in Data Science or Machine Learning
  • Expertise with Python/R and SQL.
  • Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
  • Proven track record of developing and deploying successful machine learning models in a production environment.
  • Design, develop, and deploy machine learning models to identify fraudulent activity, unlock things like higher limits for good users, and decision on transactions.
  • Collaborate with cross-functional teams, including product and engineering, to identify new opportunities to solve business problems through data science & ML.
  • Communicate complex machine learning concepts and results to both technical and non-technical stakeholders.
  • Research novel techniques and best practices to parse large, diverse data sets.
  • Contribute to the development of best practices, standards, and frameworks for machine learning at Found.
  • Provide mentorship and guidance to help grow and develop the skills of the broader data team, fostering a culture of continuous learning and excellence.

AWSPythonSQLMachine LearningAlgorithmsData engineeringData scienceCommunication SkillsCollaborationMentoring

Posted 3 days ago
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