OpenRouter

Manage enterprise accounts to drive adoption, value, and growth while bridging technical systems and business outcomes. | Experience with AI-first SaaS/API platforms and owning revenue quotas. | OpenRouter is the unified interface for the world’s most powerful LLMs. We don't just provide API access; we provide the infrastructure that allows AI-native companies to scale, optimize, and innovate. We are looking for a Customer Success Manager who lives at the intersection of AI strategy, customer outcomes and commercial growth. You aren't here to just "check in" on customers, you are here to own the revenue lifecycle, own and drive massive inference outcomes, and ensure our customers are building the future of AI on the most efficient stack possible. The Role As a Customer Success Manager at OpenRouter, you will own a portfolio of hyper-growth, Enterprise accounts. Your goal is simple but demanding: Drive adoption, unlock outcomes and value, and lead inference growth. You will be the bridge between complex technical systems, clear business outcomes and commercial growth. Key Responsibilities Strategy and Adoption: You need to get into the weeds of what customers are building. Whether it’s an AI agent or a coding tool, you’ll create the plan that helps them use OpenRouter to its full potential. Revenue and Outcome Ownership: You are responsible for keeping our customers around and helping them grow. You’ll lead the commercial talks and find ways to expand their usage across different product lines. Strategic & Tactical Execution: One hour you’ll be presenting an ROI analysis to a CTO; the next, you’ll be diving into API documentation to help a lead engineer optimize their model routing. You enjoy translating from strategic to technical and back (on repeat). Value Realization: Define and track "Success Criteria" for every customer. You will turn abstract AI goals into concrete ROI metrics, ensuring OpenRouter is a mission-critical partner and an important part of their AI strategy. The Feedback Loop: Act as the data focused voice of the customer for our GTM, Product and Engineering teams, distilling learnings and friction points into roadmap priorities. Who You Are We are looking for a proactive AI Customer Success Manager. You don't wait for a customer to ask for help; you identify a drop in token usage or a new model release and reach out with a plan and strategy to drive adoption, value and growth. Required Qualifications AI-Native DNA: You have previously worked at an AI-first company (LLM labs, AI infrastructure, or high-growth GenAI apps). You understand the nuances of tokens, latency, context windows, and model routing. Technical Platform Expertise: You come from a background in technical SaaS or API-first platforms. You are comfortable talking to developers and product managers in their own language. Revenue Focused: You have a proven track record of owning a quota. You are comfortable navigating procurement, legal, and executive stakeholders to get a deal done. Playbook Builder: You don’t just fix things once. You build the systems and guides that help us scale this to the next thousand customers. Core Competencies Strategic Agility: The ability to zoom out to the 10,000-foot view of the AI market and zoom in to the tactical details of a customer's implementation. Commercial Grit: A proactive mindset regarding renewals and expansions. You see a renewal as an opportunity to re-sell the value, not a clerical task. Analytical Rigor: You use data to tell a story. You can analyze usage trends to predict churn or identify a perfect moment for an upsell. Why OpenRouter? The AI landscape changes every week. At OpenRouter, you’ll be at the center of it all, working with the companies that are defining this era of technology. We offer a high-autonomy environment where your impact on the company’s bottom line is visible and rewarded. Are you ready to drive the next wave of AI adoption? Let’s talk.

Build and manage scalable post-sale customer success systems to drive activation, retention, and expansion in a startup ecosystem. | Experience managing scaled customer portfolios or developer ecosystems with technical API knowledge and data-driven operational skills. | About OpenRouter OpenRouter is the unified interface for AI inference, giving developers and organizations access to hundreds of models through a single API. Our platform helps teams choose, route, evaluate, and scale model usage across providers, making it easier to build production AI applications with the right model for every use case. As inference becomes a core operating layer for modern software companies, OpenRouter helps customers move faster, reduce complexity, and get more value from the rapidly evolving model ecosystem. About the Role We’re looking for a Scaled Customer Success Manager, Startups to build and own the post-sale engine for OpenRouter’s startup ecosystem. This is a builder role, not a scaled nurture role. OpenRouter’s startup ecosystem is one of the company’s most important growth surfaces, powered in part by the OpenRouter for Startups program, which helps AI-native companies access credits, infrastructure, and multi-model tooling to build and scale faster. Your job is to make that ecosystem work at scale. You’ll own the startup customer journey from program approval and onboarding through activation, production usage, retention, expansion, and Enterprise readiness. You’ll also own day-to-day program operations and communications across the OpenRouter for Startups ecosystem, while helping launch new initiatives, workflows, and partner programs over time. You’ll identify where startups get stuck, where high-potential customers are growing, where churn risk is emerging, and where OpenRouter should intervene. Then you’ll build the system that makes those interventions repeatable. That may mean designing health scoring, building lifecycle triggers, creating startup onboarding paths, developing risk dashboards, writing playbooks, automating customer workflows, surfacing expansion-ready accounts, or creating self-serve technical resources. You’ll work cross-functionally with marketing, GTM, operations, sales, and partnerships teams to expand distribution, improve onboarding and activation, and integrate the startup program into broader growth initiatives. You should be comfortable talking to technical founders about APIs, model routing, latency, cost, throughput, reliability, and production usage, and then translating those conversations into workflows, documentation, dashboards, and product feedback loops. What You’ll Do Build the Startup Success Engine Own the scaled success motion for OpenRouter’s startup and scaled customer portfolio. Partner cross-functionally to iterate and refine the operating system for startup activation, retention, growth, and Enterprise conversion. Partner on the customer lifecycle from approval to first value, from experimentation to production, and from startup usage to larger commercial opportunity. Create and refine the workflows, dashboards, alerts, and playbooks that help the team understand which startups need attention, why they need it, and what action should happen next. Turn manual customer success and program operations work into repeatable systems. Drive Activation, Retention, and Growth Own the start-up inbox, day-to-day program communications, and portfolio health across the startup segment. Identify customers that are stalled, at risk, growing quickly, or ready for deeper commercial engagement. Build scaled intervention workflows for customers showing risk signals. Create activation paths that help startups reach first value quickly and understand how to use OpenRouter effectively. Partner with Sales to surface startups ready for Enterprise conversion, higher usage commitments, premium support, compliance, observability, throughput, or strategic partnership. Work with Marketing, GTM, operations, sales, and partnerships teams to expand distribution, improve onboarding and activation, and connect the startup program to broader growth initiatives. Engineer Workflows and Automations Build practical systems that make scaled customer success possible. Partner cross-functionally to maintain lifecycle triggers, account segmentation, usage alerts, health dashboards, customer journeys, and internal workflows. Use AI-native tools and automation to reduce manual work across onboarding, follow-up, risk detection, expansion identification, reporting, and feedback capture. Build self-serve resources that help technical founders succeed without waiting for human intervention, including model routing guides, cost optimization playbooks, troubleshooting paths, integration references, and production best practices. This role requires someone who can build, not just coordinate. Own Startup Health and Expansion Signals Define what “healthy” looks like for startup customers. Track signals such as token volume, usage growth, active keys, active projects, model diversity, error rates, latency issues, support volume, credit burn, production adoption, and growth velocity. Segment the portfolio into cohorts. Create the operating cadence for reviewing startup portfolio health. Improve the Startup Program Help evolve OpenRouter’s startup program into a scalable growth engine. Improve the application, approval, onboarding, activation, communication, and follow-up experience. Build rubrics and workflows that identify high-potential AI-native startups and route them into the right journey. Ensure approved startups get value quickly and have clear paths to scale. Flag startups with strong usage, technical sophistication, or commercial potential for Enterprise motion, strategic partnership, or deeper engagement. Continuously improve how the program runs by streamlining processes and creating better experiences for founders, partners, and internal teams alike. Create Product Feedback Loops Turn startup customer, founder, and partner interactions into structured product signal. Capture and synthesize feedback across onboarding friction, model availability, routing behavior, latency, reliability, pricing, documentation gaps, integration blockers, and developer experience. Surface patterns to Product and Engineering based on frequency, customer severity, growth potential, and revenue impact. Build feedback loops that improve the experience for the entire startup ecosystem, not just one account at a time. What We’re Looking For You might be a fit if you are energized by building the system, not just running the motion. You have managed a scaled customer portfolio, startup program operations, developer ecosystem, PLG customer base, or technical customer segment. You care deeply about startups and understand the realities of early-stage building. You enjoy working closely with founders, operators, and emerging teams as they navigate product-market fit, growth, and scale. You are comfortable working with technical founders and developer-facing products. You understand API-first businesses and can speak credibly about usage, latency, reliability, cost, integrations, and production adoption. You know how to identify churn risk, activation blockers, expansion signals, and commercial opportunity in a usage-based business. You are fluent in customer data and can use usage trends, support signals, product analytics, and revenue data to drive action. You have built workflows, dashboards, automations, lifecycle programs, internal tools, customer journeys, or playbooks that improved customer outcomes at scale. You operate with a builder mindset and take ownership beyond your job description. You naturally look for ways to improve systems, streamline processes, and create better experiences for founders and internal teams alike. You’ve demonstrated strong execution in fast-moving environments, whether through operating roles, startup experience, or building projects independently. You’re energized by creating structure from ambiguity and helping new programs scale from 0 to 1. You’re comfortable working in evolving environments where processes are still being defined. Rather than waiting for perfect clarity, you proactively identify problems, propose solutions, and build the operational foundation needed to support growth. You do not default to manual touchpoints. You default to systems, repeatability, and leverage. You’ll Stand Out If You have experience in AI infrastructure, developer tools, API platforms, technical SaaS, or high-growth GenAI products. You have worked with startup customers, founders, or startup programs. You have experience with tools like HubSpot, Customer.io, Intercom, Zendesk, Linear, Retool, Zapier, Clay, Census, Hightouch, Mixpanel, Amplitude, or similar GTM / workflow / analytics platforms. You can build your own agents, write SQL, build lightweight internal tools, create automations, or use AI-assisted workflows to move faster. You have partnered with Sales or Account Executives on expansion, renewal, or Enterprise conversion motions. You have built customer health dashboards, scaled onboarding journeys, portfolio review cadences, lifecycle programs, or product feedback loops. You have strong instincts for which startups are likely to grow, which are likely to churn, and which need intervention. What Success Looks Like Within your first 2 weeks, you will understand the startup customer journey, map the current lifecycle, identify the highest-leverage activation and retention gaps, and define the first version of the startup health model. Within your first 4 weeks, you will launch initial workflows for activation, risk detection, expansion identification, scaled customer communication, and day-to-day program operations. Within your first 6 weeks, you will have built the first version of the scaled startup success operating system: segmentation, health dashboards, lifecycle triggers, risk alerts, expansion signals, and a regular operating cadence with CS, Sales, Support, Customer Engineering, Product, Engineering, Marketing, GTM, Operations, and Partnerships. Longer term, success means higher startup activation, stronger retention, faster time-to-value, clearer Enterprise conversion paths, better product feedback loops, stronger founder and partner feedback loops, and a startup ecosystem that grows without requiring linear headcount. This Is Not This is not a lifecycle marketing role. This is not a role focused on sending nurture campaigns and hoping customers engage. This is not a traditional CSM role built around manual check-ins and one-off account management. This is not a purely reactive support role. This is not a program coordination role where you wait for perfect clarity before acting. This is a builder role for someone who wants to design the scaled customer success engine for OpenRouter’s startup ecosystem. Why OpenRouter? The AI landscape changes every week. OpenRouter sits at the center of it, helping builders access, route, evaluate, and scale across the world’s leading models. This role gives you the opportunity to shape how thousands of AI-native startups succeed on OpenRouter. You’ll work directly with high-potential founders, identify the next wave of Enterprise customers, and build the systems that help them grow. High autonomy. High leverage. Direct impact on retention, growth, and the future of OpenRouter’s customer ecosystem. If building the engine sounds more exciting than simply running the motion, we should talk.

Build and ship customer-facing features and collaborate with product and design teams to optimize system performance. | 4+ years experience shipping external-facing products with proficiency in React, TypeScript, and Next.js. | About OpenRouter OpenRouter is the leading AI routing and infrastructure layer that enterprises use to access, manage, and optimize the best large language models across providers—without lock-in, capacity constraints, or unnecessary cost. We power the most advanced AI teams in the world by giving them the flexibility to move fast, scale confidently, and stay future-proof as models evolve. As enterprise adoption of AI accelerates, OpenRouter sits at the center of how organizations operationalize LLMs across research, product, and production workloads. About the Role We're hiring Software Engineers for our Product team to build the surfaces our customers depend on — dashboards, admin tooling, billing and spend management, analytics, onboarding, and many other user-facing features that turn OpenRouter into a platform. You'll land on either our product teams, working closely with PMs and our designer to ship. We have a small team focused on this surface today, so you'll have room to own pieces of the product end to end. This role is ideal for engineers who love autonomy, value collaboration, and have a track record of shipping software that works. You’ll play a critical role in shaping our product as we scale, helping expand our platform’s features, and delivering exceptional experiences for our users. What You'll Do Build and ship high quality customer-facing products and features. Own products from concept to production, ensuring they are performant, reliable, and delightful for users. Make good product and design decisions, and be open to feedback and collaborative creation. Bring a strong product instinct — push back when something doesn't make sense, and propose your own ideas to help make our product even better. Partner with product and design teams to shape what we build, not just how we build it. Identify bottlenecks, build great monitoring, propose solutions, and optimize performance across both frontend and backend systems. Help raise the bar for product quality, design polish, and craft as the team grows. About You 4+ years of experience shipping external-facing products as a full-stack or product engineer with strong product taste and judgment. Proficient in React, TypeScript, Next.js, and JS runtimes. High agency and a bias toward action; you talk to users, you iterate, you ship. AI-forward in your workflow. You use coding agents often, found interesting ways to automate your work, and have opinions about what works and what doesn’t Comfortable in a small, fast-moving environment where boundaries between teams are intentionally fluid. Strong written communication and a collaborative working style with PMs and designers. Bonus Points Prior experience at fast growing applied AI or product led companies Experience building product in fast-moving, ambiguous industries. Existing user of OpenRouter or active side projects in AI tooling. The base salary for this full-time position in the United States, spanning multiple internal levels depending on qualifications, ranges between $215,000 to $285,000 plus benefits & equity. Compensation for internationally based candidates will vary to reflect local market conditions. If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone who is excited to join the team.

Own and scale edge and cloud infrastructure handling millions of LLM requests, managing data layers, and establishing operational playbooks for observability and tooling. | 5+ years building and operating production infrastructure with cloud platform expertise, proficiency in TypeScript, and AI-forward problem-solving approach. | About OpenRouter OpenRouter is the leading AI routing and infrastructure layer that enterprises use to access, manage, and optimize the best large language models across providers—without lock-in, capacity constraints, or unnecessary cost. We power the most advanced AI teams in the world by giving them the flexibility to move fast, scale confidently, and stay future-proof as models evolve. As enterprise adoption of AI accelerates, OpenRouter sits at the center of how organizations operationalize LLMs across research, product, and production workloads. About the Role We're hiring a Software Engineer on our Platform team to own and scale the systems that route and serve millions of LLM requests every day. The business is growing at an unbelievable pace and we need help to ensure our platform can keep up. You'll work alongside a small team of engineers on owning our infrastructure, datastores, CI/CD pipeline and everything else at OpenRouter is built on. This is a hands-on IC role with broad surface area and little process between you and shipping. What You'll Do Own and evolve our edge and cloud infrastructure across Cloudflare, Google Cloud, and Vercel. Scale and operate our data layer including Spanner, ClickHouse, and Postgres. Ensure we are optimizing for performance when serving LLM inference as traffic rapidly grows. Partner with engineering leadership on capacity, reliability, and cost across the routing layer, with ownership of the systems carrying production traffic. Set the bar and playbook for how we run infrastructure and operations as the team grows — tooling, observability, on-call, and the patterns other engineers build against. About You 5+ years building and operating production infrastructure at companies where uptime, latency, and cost matter. Proven experience with cloud platforms (GCP, AWS, Azure) and edge-first serverless platforms (e.g. Cloudflare Workers) Deep expertise in operating large scale databases (e.g Postgres, Spanner, etc). A full-stack TypeScript shop won't faze you; you can move across the stack when the platform needs it. High agency and a bias toward action. You don't wait for tickets — you see the bottleneck and fix it. AI-forward in your workflow. You use coding agents, MCPs, and LLMs heavily and have opinions about what works. Pragmatic about tradeoffs between speed and simplicity. Bonus Points Existing user of OpenRouter, or active side projects in AI products/infrastructure or developer tooling. The base salary for this full-time position in the United States, spanning multiple internal levels depending on qualifications, ranges between $215,000 to $285,000 plus benefits & equity. Compensation for internationally based candidates will vary to reflect local market conditions. If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone who is excited to join the team.

Architect, build, and own the end-to-end data platform. Stand up data warehousing and pipelines, ensuring data is reliable and scalable for customers and internal use. | 4+ years of experience as a Data Engineer with expertise in SQL and Python. Experience in building end-to-end data infrastructure and a strong focus on customer needs is essential. | OpenRouter operates the largest marketplace and routing layer for large-language models: 400+ models from 60+ providers are reachable through a single API, contract, and bill, eliminating infrastructure sprawl for developers and enterprises alike. We make AI “just work” so companies can focus on what they do best. We believe LLMs will be the largest software market ever, and today we’re the largest aggregator and discovery point. We serve more than a million developers and route over $100m in annualized inference spend, backed by a16z and Menlo Ventures. We are a fully-remote team of roughly 15 people. Our culture is engineering-first and velocity-obsessed; we prize clarity, autonomy, and rapid iteration. About the Role: We’re hiring our first Senior Data Engineer to architect, build, and own our end-to-end data platform. Our position in the AI marketplace gives us uniquely rich usage and performance data; your job is to turn that data into reliable and scalable datasets and products that deliver clear value to customers while informing our own product decisions. You’ll stand up our data warehousing and pipelines from scratch, connect product and platform data, and make high-leverage data accessible and trustworthy to our customers and across the company. Key Responsibilities: Data Platform & Warehousing: Stand up central analytics store. Define schemas, partitioning, retention, and performance strategies for scale. Establish data contracts and documentation to keep data consistent and discoverable. ETL/ELT Pipelines & Orchestration: Build, operate, and monitor robust ETL/ELT pipelines. Implement CDC and batch/stream ingestion patterns; ensure idempotency, safe backfills, and predictable reprocessing. Customer Data Products: Design and ship the data foundations for customer-facing metrics (latency, throughput, error rates, reliability/SLOs, cost), with strong handling of late/duplicate events. Build secure, multi-tenant datasets and APIs for customers; enforce isolation with row/column-level security, access controls, and privacy guardrails. End-to-End Ownership: Take data features from concept to production: design, implement, backfill/migrate, document, and support. About You: 4+ years as a Data Engineer (or similar), including owning production pipelines and a modern data warehouse (Clickhouse, Snowflake, Databricks, etc) Expert SQL and Python with deep experience with ETL/ELT design, data modeling, and performance tuning. Experience building end-to-end data infrastructure: storage, compute, networking, orchestration, CI/CD for data, monitoring/alerting, and cost management. Excellent communicator who can self-manage, set expectations, and partner across functions while working asynchronously. You’re customer-obsessed and product-minded, starting from the user problem and shipping pragmatically to deliver value fast. Biased to action, comfortable with ambiguity, and able to prioritize for impact. You default to simple, reliable solutions and iterate quickly. Bonus Points Experience as the first/early data hire building 0 to 1 Direct experience with Clickhouse, Postgres, GCP, or Terraform Experience standing up event streaming platforms (e.g. Kafka, Pub/Sub) Experience with database privacy/compliance standards (e.g., SOC 2, GDPR/CCPA) What We Offer: Cutting-Edge Work: Be at the forefront of AI and LLM infrastructure, building tools for developers and enterprises alike. Small, Talented Team: Work closely with a tight-knit group of top-notch engineers who value excellence and innovation. Growth Opportunities: As we scale, grow into leadership roles or specialize further in your area of interest. Competitive Compensation: Attractive salary, equity, and benefits that reflect the impact you’ll have on our success.