Ramp

About the Company

Ramp is an all-in-one financial operations platform designed to save businesses time and money. Combining corporate cards, expense management, bill payments, accounting automation, procurement, travel, treasury, and more, Ramp empowers finance teams to do their best work.

More than 40,000 companies, from family-owned farms to space startups, have saved $10B and 27.5M hours with Ramp since its founding in 2019.

Investors include Founders Fund, Thrive Capital, Khosla Ventures, Sequoia, 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.

Listed Jobs

Company Name

Ramp

Job Title

Software Engineer Internship | Frontend

Job Description

**Job Title:** Software Engineer Internship | Frontend **Role Summary:** Frontend engineering internship focused on developing high-performance web interfaces for a fintech platform. Collaborate in cross-functional teams to build scalable solutions for business clients using modern web technologies. **Expectations:** - Currently pursuing a degree in computing or related field (expected graduation: 2026–2028). - Demonstrated expertise in JavaScript and front-end development. - Portfolio or track record of delivering software projects. - Commitment to agile, fast-paced environments. **Key Responsibilities:** - Design and implement performance-optimized user interfaces for enterprise software. - Translate business requirements into scalable technical solutions. - Work with cross-functional teams to release features from concept to deployment. - Improve engineering processes to support scalable development workflows. **Required Skills:** - JavaScript (TypeScript) proficiency, with attention to visuals and user experience. - Experience with object-oriented programming (e.g., Python, Java). - Familiarity with modern framework ecosystems (e.g., React v16+). - Ability to integrate stakeholder feedback into product workflows. - Strong problem-solving skills for iterative product development. **Required Education & Certifications:** - Pursuing B.S./M.S. in Computer Science or technical discipline. - Expected graduation: 2026–2028.

Queens county, United states

Hybrid

08-10-2025

Company Name

Ramp

Job Title

AI Product Engineer | All Levels

Job Description

Queens county, United states

Hybrid

Junior

10-10-2025

Company Name

Ramp

Job Title

Senior Manager | Enterprise Implementations

Job Description

**Job Title** Senior Manager – Enterprise Implementations **Role Summary** Lead a team of 5–7 Customer Success Managers (CSMs) overseeing the onboarding and activation of Ramp’s largest enterprise customers. Design and enforce implementation best‑practice playbooks, deliver coaching and career development, and collaborate with Sales, Product, Operations, Risk, and Marketing to ensure high customer satisfaction, quota attainment, and efficient process execution. **Expectations** - Manage a high‑performing CSM team, maintaining strong CSAT scores while exceeding onboarding and spend‑activation targets. - Implement and refine metrics dashboards (Salesforce, Looker, Excel) to track team performance and forecast outcomes. - Champion continuous improvement of playbooks, processes, and systems to increase team output and customer value. - Serve as a key voice for the customer and contribute to the Enterprise segment strategy and execution. **Key Responsibilities** - Build and sustain a culture of excellence, motivation, and accountability across the CSM team. - Oversee daily activities, quota performance, and quota planning for each CSM. - Develop and execute career development and leadership plans, including one‑on‑one coaching, product knowledge sessions, and technical enablement. - Design and optimize implementation playbooks and standard operating procedures. - Analyze customer and team data to identify trends, risks, and improvement opportunities. - Report performance metrics and forecasts to senior leadership. - Act as cross‑functional liaison, representing Customer Success in Sales, Product, Marketing, Risk, and Operations. **Required Skills** - Minimum 4 years implementation or customer‑success experience as an individual contributor. - Minimum 3 years leading implementation or CS teams with proven results. - Proven success in fast‑paced SaaS or GTM environments. - Strong hiring mindset and experience in team planning and development. - Exceptional communication, presentation, and influencing abilities. - Proficiency in data analytics tools: Salesforce, Looker, Excel. - Ability to articulate technical product and financial value to customers, including executives. - Demonstrated ability to use data to drive decisions and process improvements. **Required Education & Certifications** - Bachelor’s degree in Business, Finance, or a related discipline. - Preferred certifications: CPA, Salesforce Certified Administrator, or other relevant finance/tech credentials.

San francisco, United states

On site

Senior

03-11-2025

Company Name

Ramp

Job Title

Summer 2026 | Applied Scientist Intern

Job Description

**Job title:** Applied Scientist Intern (Summer 2026) **Role Summary** Work as a fully integrated member of Ramp’s Applied Science team, owning end‑to‑end machine‑learning projects that solve critical finance‑operations problems such as underwriting, fraud detection, and spend‑management optimization. Translate business objectives into scalable, production‑ready ML solutions and collaborate closely with engineering, product, and business stakeholders. **Expectations** - Deliver a complete ML solution from data exploration to deployment and monitoring within the internship period. - Ship production‑grade code, conduct rigorous experimentation, and quantify impact through A/B tests and statistical analysis. - Communicate findings clearly to both technical and non‑technical audiences and iteratively improve models based on feedback and real‑world performance. **Key Responsibilities** - Conduct data exploration and feature engineering on large datasets. - Train, benchmark, and deploy models using techniques such as deep learning, gradient boosting, and causal inference. - Leverage large‑language models (LLMs) to develop new product capabilities. - Build and maintain model pipelines, including data orchestration and monitoring. - Perform A/B tests and other quantitative experiments to measure model impact. - Partner with product, engineering, and business teams to translate insights into actionable strategies and user‑facing features. **Required Skills** - Strong mathematical foundation in machine learning, statistics, probability, and optimization. - Proficient in Python with experience in pandas, scikit‑learn, NumPy, PyTorch, and related libraries. - SQL expertise and experience with modern data warehouses (Snowflake, BigQuery, Redshift, ClickHouse). - Proven ability to curate datasets, build, and evaluate ML models. - Familiarity with LLMs and a curiosity to integrate cutting‑edge AI into applied solutions. - Excellent written and verbal communication; ability to explain complex concepts to diverse audiences. - Comfort with ambiguity, rapid iteration, and shipping solutions quickly (bias for action). **Required Education & Certifications** - Current M.S. or Ph.D. student pursuing a degree in Data Science, Computer Science, Mathematics, Physics, Economics, Statistics, or a related quantitative field. - Expected graduation between December 2026 and December 2027. - No mandatory certifications required; relevant industry or academic certifications in ML/Data Science are a plus.

Queens county, United states

Hybrid

Fresher

13-11-2025