Software Engineer Pricing Jobs

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Who We Are: Shape the future of Roblox’s virtual economy. The Economy ML team is building the machine learning backbone that powers Roblox’s Marketplace, Developer Monetization, and Payments ecosystems. From intelligent pricing and personalized storefronts to dynamic layout optimization and avatar understanding, we’re reimagining how the Roblox economy drives user engagement, monetization, and creator success at scale. As a Principal Software Engineer (Data Systems) , you will architect, build and deploy high-scale, reliable real-time and batch data systems for personalization, search and recommendation across various product surfaces in Marketplace, Developer Monetization and Payments. You will be involved in key data projects from architecting event taxonomies and logging interfaces to real-time feature serving across multiple search and recommendation surfaces. What You’ll Do Act as data engineering lead for Economy ML, setting standards for batch vs streaming feature pipelines, table design, observability, and documentation used across the Economy group. Work as a hands-on contributor on our data systems to power content recommendation, search and personalization across Economy product

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. We are hiring a Machine Learning Engineer to join our ETA team. Our team builds and maintains Lyft's system responsible for estimating/predicting ETAs for every ride request on our platform. ETAs play a critical role in matching decisions, pricing estimates and overall user experience. Low latency, high reliability and high accuracy are paramount for our success. If you are a critical thinker with experience in machine learning workflows and writing reliable code, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. Our technology stack runs on AWS, Kubernetes, Go, Spark, Python and Apache Airflow. In this role, you will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on building rideshare experiences that delight millions of riders and drivers. Responsibilities: Perform data analysis and build proof-of-concept to explore and compare ML and non-ML solutions Be able to make effective tradeoffs between model accuracy, its productization complexity and runtime performance Develop statistical, machine learning, or optimization models Write production quality code that can scale well to serve millions of requests per day Participate in code reviews, design reviews, production on-call support and incident triaging process. Write well-crafted, well-tested, readable, maintainable code Experience: B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience 3+ years of Machine Learning experience Nice-to-have: Experience with big data processing / distributed data pipelines and tools such as Apache Airflow and Spark Ability to work in distributed teams spread across time zones. (North America and

Why Join The Drata Team? The best way to understand the Driver’s Mindset is to see it in action. We’re an award-winning, mission-driven team of 600+ people worldwide , united by a culture that values trust, speed, and continuous growth. Hear the Voice of the Team : Explore our "Life at Drata" page for employee testimonials on our collaborative and the growth opportunities available. Connect with Us on Socials: LinkedIn - follow us for company updates, employee stories, and career news. Job Summary: The Staff Software Engineer, Monetization Platform serves as a technical leader with a primary focus on the systems that turn product usage, subscriptions, credits, commitments, and contracts into accurate customer outcomes and clean financial operations. This person will architect and evolve the core billing domain for Drata: usage event ingestion, billable metrics, pricing and packaging, invoice generation, entitlement enforcement, and the integrations that connect engineering to Accounting, Finance, RevOps, Salesforce, CPQ, and ERP systems like NetSuite. They should be equally comfortable designing event-driven systems, shaping commercial flexibility with business stakeholders, and building operationally trustworthy software where correctness, audit-ability, and scale matter. Modern billing is no longer just “charge a credit card once a month” — it is a real-time product control plane that must support evolving pricing models without turning the codebase into a fragile mess. What you’ll do: Partner with Product, Finance, Accounting, RevOps, and Engineering leadership to shape Drata’s long-term billing architecture and commercial flexibility across self-serve and enterprise motions. Design the primitives of a modern billing platform: usage events, billable metrics, products, rate cards, contracts, credits, subscriptions, overages, and invoice workflows. Architect a system that can accurately meter product usage at scale, transform raw events into billable quantities, an

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the team The Billing team sits at the intersection of product, finance, and infrastructure. They're responsible for ensuring every observable event—errors, logs, traces, tokens—gets accurately measured, priced, and billed. Their work directly impacts company revenue and customer trust, requiring distributed systems expertise, attention to financial accuracy, and deep understanding of product usage patterns. The team works cross-functionally with product, engineering, BizOps, marketing, and sales to build systems that enable new products and pricing models. About the role As a Senior Software Engineer, you will architect and scale the core systems that power Sentry's billing infrastructure, ensuring accuracy and reliability at massive scale. You will collaborate on building the next generation of Sentry’s usage tracking pipeline, processing hundreds of billions of events daily with low latency and financial-grade accuracy. You will help design flexible pricing primitives that support everything from per-event usage billing to complex enterprise contracts, enabling product and sales teams to experiment rapidly while maintaining revenue accuracy and reduced time-to-market for new products. You will contribute to technical decisions on data consistency challenges unique to billing—like handling event delays, retroactive pricing changes, and distributed count reconciliation across our infrastructure. You'll love this job if you Want to solve the "easy to explain, hard to build" problems—like ensuring a customer's bill matches their usage perfectly, even when processing hundreds of billions of events daily across distributed

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the team The Billing team sits at the intersection of product, finance, and infrastructure. They're responsible for ensuring every observable event—errors, logs, traces, tokens—gets accurately measured, priced, and billed. Their work directly impacts company revenue and customer trust, requiring distributed systems expertise, attention to financial accuracy, and deep understanding of product usage patterns. The team works cross-functionally with product, engineering, BizOps, marketing, and sales to build systems that enable new products and pricing models. About the role As a Senior Software Engineer, you will architect and scale the core systems that power Sentry's billing infrastructure, ensuring accuracy and reliability at massive scale. You will collaborate on building the next generation of Sentry’s usage tracking pipeline, processing hundreds of billions of events daily with low latency and financial-grade accuracy. You will help design flexible pricing primitives that support everything from per-event usage billing to complex enterprise contracts, enabling product and sales teams to experiment rapidly while maintaining revenue accuracy and reduced time-to-market for new products. You will contribute to technical decisions on data consistency challenges unique to billing—like handling event delays, retroactive pricing changes, and distributed count reconciliation across our infrastructure. You'll love this job if you Want to solve the "easy to explain, hard to build" problems—like ensuring a customer's bill matches their usage perfectly, even when processing hundreds of billions of events daily across distributed

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: This is a Product Engineering role specialized in monetization systems, and will lead that space at Replit. It’s a direct line to business impact. But it’s also critical to get right for our users. These are some of the most critical user journeys to get right. Getting them wrong creates the most frustrating experiences for users. So we’re looking for engineers who can build reliable and scalable billing systems and abstractions, while also translating that to an intuitive and friendly user experience. You will: Lead the architecture and implementation of monetization systems at Replit. Create seamless payment experiences for users for both product-led and sales-led motions. Build new abstractions and APIs for other engineers at Replit to monetize their new products. Iterate on pricing and packaging tactics to drive revenue growth. Examples include coupon codes and referral systems. Create monitoring and feedback systems so that we can proactively spot problems, fix them, and optimize performance. Required skills and experience: 6+ years of engineering experience, with strong skills working on the backend. Direct working experience in at least one of the following: Subscription platforms Usage-based billing SaaS Taxation Payment platforms Tokenization Self-directed and comfortable working autonomously in ambiguous environments. Excellent problem-solving skills with ability to debug complex billing issues and edge cases. Experience implementing customer-facing billing interfaces that simplify complex pricing structures. Tools + Tech Stack for this role: Python, TypeScript, React, Postgres, GraphQL, and Nodejs. Bonus Points : Experience working with Orb, Metronome, or Stripe usage based billing. Experienc

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Billing & Payments Platform team builds Snowflake's central data repository and infrastructure for customer resource consumption, revenue processing, invoicing, and reporting. Our systems power Snowflake's business and enable every other engineering team — and the architectures we ship double as reference patterns for our customers building on Snowflake. Computing Snowflake's bills, at its core, is a challenging distributed systems problem: real-time usage metering across every cloud and region, and supporting an ever-evolving catalog of pricing models — including the new commercial constructs we are inventing for Cortex AI, Snowflake Intelligence, and the broader agentic AI portfolio . Our applications must meet strict requirements for accuracy, auditability, and low-latency processing. This is a deeply cross-functional role. You will partner daily with Product, Finance, Legal, Growth, Go-to-Market Systems, Snowsight UI, Cortex AI, and product engineering teams across Snowflake to deliver experiences that customers and internal stakeholders depend on every day. What You'll Do As a Senior Software Engineer on Billing Platform, you will: Own medium-sized projects end-to-end — from design through launch and operation — and contribute as a key engineer on large, multi-

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The opportunity The Autonomous Freight Systems team is a brand new, AI-first engineering team in San Francisco. This team will own Flexport’s client-facing rates platform and the self-serve freight booking experience—two of the highest-leverage surfaces in our Client App that dictate how clients see pricing and book freight without manual intervention. As a Staff Engineer, you will be the technical anchor for our next-generation AI-powered rates platform. We aren't just building a UI; we are building AI agents that handle real logistics work: parsing complex rate sheets, managing pricing intelligence across ocean, air, and trucking, and making "Self-Serve" a reality for thousands of shippers. You will build the intelligence layer that allows clients to commit freight on technology alone, with no account executive and no operations touch. This is a ground-floor opportunity to shape technical direction, set up a new codebase, and build the platform that moves Flexport from an assisted-sales model to a tech-run one for the long tail of our client base. You will partner with Pricing, Sales, Ops, and Design on hard domain problems and ship to the most-used client

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The Opportunity The Autonomous Freight Systems team is a brand new, AI-first engineering team in San Francisco, building Flexport's client-facing rates platform and self-serve freight booking experience from the ground up. We own two of the highest-leverage surfaces in the Client App: how clients see pricing and how they book freight without manual intervention. As a Senior Engineer, you will own significant technical domains end-to-end, not just features, but whole problem spaces. You will drive the engineering of systems that power rate visibility, pricing intelligence, and AI-assisted booking across ocean, air, and trucking. You don't wait to be told what to build next; you identify the highest-leverage problems, propose solutions, and see them through to production. You will be a technical force multiplier on the team: raising the bar on code quality, helping junior engineers grow, and shipping with a velocity and confidence that comes from deep ownership. This is a ground-floor opportunity to build the platform that moves Flexport from an assisted-sales model to a tech-run one for the long tail of our client base—turning the complexity of global trade into a s

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity The mission of the Monetization team is to establish our product-led packaging, subscription model, and billing and scale them as we expand and grow our business. Our team is responsible for building robust Billing systems, focusing on payments, renewals, sales tax, and revenue. We also work closely with all the teams to integrate their products with our packaging model thus offering our customers the best features, pricing, and services through self-serve purchases and our Sales channels. We’re looking for an experienced Senior Engineer who will lead our initiatives for a powerful config-driven platform, improving customer purchase experience and working on the internal tools to match the scale of the growth of Postman. What You'll Do Work on our core Monetization platform to improve offer management, including packaging, plans and pricing, which support the pre-purchase workflow and on our Billing platform to improve data capture for revenue recognition and ARR reporting. Lead the active development of our internal services to introduce new frameworks, optimize the APIs, and improve scale and reliability. Contribu

About the Team Consumer Monetization builds the experiences and systems that power how customers purchase and pay for OpenAI products. Our scope spans purchasing flows, payments, subscriptions, and billing, along with the shared capabilities that support new products, offers, and distribution channels. We own both customer-facing experiences and the underlying platforms that power them. We partner closely with Product, Design, Growth, Data Science, and engineering teams across OpenAI to make purchasing effective and reliable, and new offerings easier to launch and monetize. About the Role We’re looking for experienced Staff+ full-stack engineers to shape purchasing experiences and monetization capabilities across OpenAI products. You’ll work across web experiences, product APIs, and shared components, combining strong product judgment with technical depth. The work ranges from improving checkout conversion and performance to enabling new pricing models, offers, and ways for customers to purchase our products. You’ll help identify opportunities, turn ambiguous goals into concrete technical plans, and lead initiatives from exploration through launch. As patterns emerge across products, you’ll develop reusable capabilities that make future launches faster and more consistent. This is a hands-on technical leadership role with substantial ownership over architecture, implementation, and product outcomes. This role is based in San Francisco, with three days per week in the office. In this role, you will: Architect and build purchasing experiences end to end, from frontend interactions through the product APIs and backend integrations that support them. Improve checkout conversion, performance, and reliability through experimentation, product analytics, and customer insights. Develop shared checkout components and monetization capabilities that support new products, pricing models, offers, and distribution channels. Partner with Product, Design, Growth, and Data Science to

We are seeking an experienced Quantitative Developer to join our Markets Quantitative Analytics team, partnering closely with Quantitative Analysts, Traders, and Technology professionals to build the next generation of pricing, risk, and analytics platforms. This is a hands-on technical role for a highly skilled software engineer with a passion for quantitative finance. You will be responsible for designing and delivering high-performance, scalable solutions that support front office trading businesses across asset classes. The role offers the opportunity to work on complex quantitative challenges, modern engineering practices, and large-scale distributed systems while helping shape the strategic direction of Citi's quantitative technology platform. Successful candidates will combine strong software engineering expertise with an understanding of quantitative methodologies and financial markets, translating sophisticated mathematical models into robust, production-grade solutions. Key Responsibilities Design, develop, and maintain high-performance pricing, risk, and analytics libraries used across Global Markets. Partner with Quantitative Analysts to transform research models and prototypes into scalable, production-quality software. Build and optimize quantitative applications using modern C++ and Python, applying strong software architecture and engineering principles. Own the full software development lifecycle, including requirements gathering, design, implementation, testing, deployment, and ongoing support. Drive engineering excellence through CI/CD adoption, automated testing, code reviews, and software quality best practices. Develop and maintain market data platforms and data pipelines supporting analytics, pricing, and risk workflows. Work with infrastructure teams to leverage distributed computing, cloud technologies, and scalable arc

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. At Roblox , we’re building the tools and platform that empower a global community of creators and developers to build immersive experiences and a dynamic virtual economy. Our Economy ML team sits at the heart of this mission, delivering scalable machine learning systems that power personalization, pricing, search, and content understanding across all Economy surfaces: Marketplace, Developer Monetization, Payments, and Avatar. We’re looking for a Distinguished Engineer/Technical Director to lead the strategy and technical direction for ML systems , with a focus on large-scale recommendations, infrastructure, and emerging Generative AI applications. You’ll help build the systems that support retrieval, ranking, generative modeling, and LLM-powered personalization, all at massive scale. This role requires deep systems thinking, hands-on ML expertise, and a vision for how traditional ML and GenAI come together to power the future of the Roblox economy. Why Roblox for ML Systems AI/ML is a top company priority , with long-term investment. Real-world scale : Power millions of daily economic interactions across ranking, pricing, fraud, and search. Full-system ownership : Build and optimize end-to-

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Platform Intelligence Engineers are the engine behind Palantir’s most strategic and important operations. Engineers are responsible for designing, creating, and maintaining the critical data infrastructure layer that powers decision-making across the business. This infrastructure enables teams to understand product usage, stability trends, cost efficiency, value creation, revenue streams, and more. As an Intelligence Engineer, you will partner with teammates and leaders across the business to address, measure, and evaluate Palantir’s internal strategic and tactical performance. You will keep business outcomes in mind as you develop data pipelines, perform analysis, and work with stakeholders to operationalize insights that propel the business forward. Depending on which team you join, you might analyze cloud utilization, user metrics, stability KPIs, cost optimizations, or even model pricing changes all while ensuring best in class support for our partner teams. You will use Palantir’s platforms, just as Palantir’s customers do, to clean and enrich troves of data from disparate sources, allowing you to unlock key insights, create visualizations and custom applications that help drive day-to-day outcomes. Teams across Palantir will consult with and rely on you to help guide planning and decision-making for a wide range of topics while balancing various sets of priorities and weighing costs. About You You are proficient in Python and have experience in a previous or current job writing code on a day-to-day basis. You understand the challenges of finding the right data to answer a problem, cleaning data, and then distilling findings to executive-leve

About the team Meesho AI Services (MAS) is a new-age AI Services business built to deliver outcomes, not software, for enterprise and mid-market clients. We are in a 0-1 build phase, shaping our go-to-market motion, pricing models, and sales organization from the ground up. The GTM Engineer will be a foundational hire supporting this effort, working closely with the Sales & GTM Leader to build out the top-of-funnel engine. About the role The GTM Engineer will own the technical and execution layer of the sales funnel, from automated lead generation to client-facing demo calls. This role requires someone who can build systems and also get on calls to explain MAS clearly to prospective clients. You will work in an environment without an existing playbook, and will help build one.