Silver.dev

Data Analyst

• Own the analytics narrative — identify, define, and continuously refine the metrics that best demonstrate Pasito's product value and ROI to external stakeholders.
• Lead product analytics — define how Pasito's product is described and understood through data, building the reporting framework that captures engagement, adoption, and outcomes in a way that is accurate, compelling, and tailored for each stakeholder.
• Design data dashboards in collaboration with our Data Engineer, translating business and product questions into intuitive, visually compelling reporting experiences.
• Partner cross-functionally with Product, Customer Success, Sales, and Leadership to understand what questions matter most and ensure the right data is surfaced at the right time.
• Prepare and deliver data presentations to internal senior leadership and external executive sponsors — communicating findings clearly, confidently, and without jargon.
• Enable others to present data effectively — coach and train internal team members on how to communicate data-driven insights with confidence, and prepare presentation-ready work that others can own and deliver when needed.
• Proactively explore data to uncover trends, anomalies, and opportunities that the business hasn't yet thought to ask about.
• Establish and maintain data definitions and reporting standards so that everyone is working from a single source of truth — including standardized language for how the product's performance is described internally and externally.
• Conduct competitive analysis — research the metrics and benchmarks that peer companies and competitors report on, evaluate their relevance to Pasito, and make informed recommendations about whether and how to adopt them into our reporting framework.
• Partner with Marketing to identify and maintain the top data points the sales team needs to effectively communicate Pasito's product value in the field — ensuring those numbers are current, accurate, and easy to use.
• Collaborate with the Partnerships team to surface data-driven insights that inform partner strategy — including identifying early risk indicators and establishing best practices based on performance trends across the portfolio.
• Define and track AI product metrics — develop the framework for measuring the performance and impact of Pasito's AI-driven features, identifying the indicators that best reflect the value those components deliver to users and stakeholders.
• Iterate continuously — test new approaches to data visualization and communication, gather feedback from stakeholders, and refine over time.

Platform Engineer

• Maintain and manage VPC configuration (solid knowledge required)
• Maintain ECS services (solid knowledge required)
• Migrate ECS from AWS to Terraform to enable developers to modify infrastructure through PRs (requires solid understanding; expertise not mandatory, but must be able to work autonomously)
• Develop scripts to implement review apps with ECS
• Manage Roles and Permissions (user-level and resource-level) in AWS (basic understanding required; expertise not mandatory)
• Maintain the Ruby script that enables developers to set up the platform locally
• Improve and iterate on the GitHub CI/CD pipeline
• Ensure the application meets SOC-2 compliance requirements
• Own and improve key parts of the application—from performance to architecture
• Stay up-to-date with the latest developments in AI, data, and web technologies
• Contribute to a strong culture of experimentation, iteration, and shipping fast

Engineer

• Work closely with senior engineers to design, build, and maintain backend systems that power our platform.
• Contribute to feature development, bug fixes, and performance improvements.
• Participate in code reviews, testing, and documentation to ensure quality and maintainability.
• Collaborate with product and design teams to bring ideas from concept to production.
• Learn new tools and technologies, and grow into greater ownership over time.

Early Career Engineers

Full-stack Engineer

• Own and build product features end-to-end—from scoping and architecture to implementation, testing, and deployment
• Work across the stack using Python, Next.js, and TypeScript to develop high-quality, user-facing applications
• Collaborate closely with product and design teams
• Contribute to AI-driven features (including LLM workflows and agents)
• Help shape both the user experience and underlying systems—from authentication to database design

Full-Stack Engineer

• Design, build, and scale backend systems that power spend controls, approval workflows, and card transactions at massive scale
• Collaborate cross-functionally with product, design, and data to deliver intelligent, user-first experiences for finance teams
• Integrate with Ramp’s internal AI platform to automate spend policy enforcement and anomaly detection
• Own complex projects end-to-end — from architecture to deployment and observability
• Partner with the Product Platform and Integrations teams to ensure reliability, scalability, and data consistency across financial systems
• Continuously improve Ramp’s transaction and policy infrastructure for performance, accuracy, and resilience

Data Analyst

Platform Engineer

Early Career Engineers

Full-Stack Engineer

Senior Software Engineer