Found

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👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff almost 2 years agoNews Content Social Network Social Media

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🔥 Staff Product Manager, Banking

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 195000.0 - 257000.0 USD per year

🔍 Banking

🔧 Requirements

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 → 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.

💡 Responsibilities

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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🔥 Software Engineer, Data

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 181000.0 - 209000.0 USD per year

🔍 Fintech

🔧 Requirements

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).

💡 Responsibilities

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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🔥 Senior Software Engineer (Full-Stack), Taxes & Bookkeeping

Posted 1 day ago

📍 San Francisco, Seattle, Portland, New York

🧭 Full-Time

💸 181000.0 - 235000.0 USD per year

🔍 Software Development

🔧 Requirements

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.

💡 Responsibilities

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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🔥 Senior Software Engineer (Full-Stack), Risk

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 181000.0 - 235000.0 USD per year

🔍 Financial Services

🔧 Requirements

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.

💡 Responsibilities

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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🔥 Senior Software Engineer, Data

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 205000.0 - 235000.0 USD per year

🔍 Fintech

🔧 Requirements

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.

💡 Responsibilities

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

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🔥 Senior Machine Learning Engineer

Posted 3 days ago

📍 United States

🧭 Full-Time

💸 180000.0 - 235000.0 USD per year

🔍 Fintech

🔧 Requirements

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.

💡 Responsibilities

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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