About RampRamp is a financial operations platform designed to save businesses time and money. Combining corporate cards with expense management, bill payments, vendor management, accounting automation, and more, Ramp's all-in-one solution frees finance teams to do the best work of their lives. More than 25,000 companies, from family-owned farms to e-commerce giants to space startups, have saved $1B and 10M hours with Ramp. Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment platform in America, and enables over 35 billion dollars in purchases each year.Ramp's investors include Sequoia, Founders Fund, Thrive Capital, Khosla Ventures, Greylock, Stripe, Goldman Sachs, Coatue, and Redpoint, as well as over 100 angel investors who were founders or executives of leading companies. The Ramp team comprises talented leaders from leading financial services and fintech companies—Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One—as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart.Ramp has been named to Fast Company's Most Innovative Companies list and LinkedIn's Top U.S. Startups for over 3 years, as well as the Forbes Cloud 100, CNBC Disruptor 50, and TIME Magazine's 100 Most Influential Companies.About the RoleThe Data Platform builds infrastructure and tools that enable Ramp to realize business value from data. We partner closely with stakeholder teams to build this infrastructure and the applications on top of it. This role is particularly focused on building platforms that support the data science development lifecycle. You’ll partner with applied scientists, AI engineers, Risk engineers, and other ML developers on building infrastructure and tools that enable and accelerate the development of machine learning models. What You’ll DoBuild and integrate the components of Ramp's Analytics Platform and Machine Learning Platform.Build tools that improve the agility and data experience of Ramp's Applied Scientists, AI Engineers, and Risk Engineers.Collaborate with stakeholder teams on building and productionizing machine learning applications.Build reliable, scalable, maintainable, and cost-efficient systems across the stack.What You NeedExperience with workflow orchestrators like Airflow, Dagster, or Prefect.Experience building infrastructure on AWS, GCP, or Azure.Knowledge of SQL and experience with Snowflake, Redshift, BigQuery, or similar databases.Intuition around analytics and machine learning, and empathy for data science workflows.Strong Python programming skills.Nice to HavesExpertise with AWSPrevious experience building online machine learning systems.Previous experience building a feature store.Experience with Terraform and DatadogExperience building streaming systems.Benefits (for U.S.-based full-time employees)100% medical, dental & vision insurance coverage for youPartially covered for your dependentsOne Medical annual membership401k (including employer match on contributions made while employed by Ramp)Flexible PTOFertility HRA (up to $5,000 per year)WFH stipend to support your home office needsWellness stipendParental LeaveRelocation support for NYPet insuranceOther noticesPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Compensation Range: $233K - $295.6KLocationNew York, San FranciscoTypeFull timeDepartmentEngineeringCompensation$233K – $295.6K • Offers Equity Ramp
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