Jobs in United States

Infrastructure Team Manager in United States

1,521 active opportunities · Updated October 2026

Explore current infrastructure team manager jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.

M
📍 New York, new york, United States· Full-time
✓ Quality checkedCompany trend -67.9%

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: Most of the value of owning a model shows up at serving time. We're building a platform that covers the whole life of an LLM -- train it, deploy it, observe it -- and inference is where teams feel the difference every day. We already run elastic inference, sandboxes, distributed volumes, and multi-node training, and we control the infrastructure underneath, so the serving stack is ours to shape rather than something we resell. You will do hands-on inference research at Modal, working with the research lead to pick high-impact bets and owning them end to end. The bets that matter most are the ones that move cost per token and tail latency on the workloads our customers actually run. What you'll do: Own end-to-end inference research bets: speculative decoding, disaggregated prefill/decode, quantization (FP8, INT4), KV-cache and memory management, autoscaling for spik

C
📍 United States· Full-time
✓ Quality checkedCompany trend -100%

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a skilled and experienced Senior AI Engineer – AI Platform to join our ClickUp Engineering team. In this role, you will play a critical part in both building the core AI platform and directly applying large language models (LLMs) to deliver intelligent features across ClickUp. You will focus on backend systems that enable scalable, reliable, and secure AI-powered capabilities, while also working hands-on with LLMs to solve real user problems and drive product innovation. Key Responsibilities: Architect, design, and implement scalable AI platform services that support the deployment, orchestration, and lifecycle management of LLMs and other AI models. Apply LLMs and other AI technologies directly to build and enhance ClickUp’s intelligent features, working closely with product and engineering teams to deliver impactful solutions. Build and maintain robust APIs and backend systems that enable seamless integration of AI-powered features into ClickUp’s core platform. Develop infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production. Integrate with multiple LLM providers (e.g., OpenAI, Anthropic, Google) and manage model selection, routing, and fallback strategies for optimal performance and cost. Drive the adoption of best practices in AI privacy, security, and compliance, including data anonymization, secure data handling, and regulatory adherence. Optimize platform performance, scalability, and cost-efficiency, leveraging cloud-native technologies and distributed systems. Stay curre

TypeScriptPythonAWSAzure
C
📍 United States· Full-time
✓ Quality checkedCompany trend -100%

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a highly skilled Staff AI Engineer – AI Platform to join our ClickUp Engineering team. In this role, you will play a critical part in both building the core AI platform and directly applying large language models (LLMs) to deliver intelligent features across ClickUp. You will focus on backend systems that enable scalable, reliable, and secure AI-powered capabilities, while also working hands-on with LLMs to solve real user problems and drive product innovation. Key Responsibilities: Architect, design, and implement scalable AI platform services that support the deployment, orchestration, and lifecycle management of LLMs and other AI models. Apply LLMs and other AI technologies directly to build and enhance ClickUp’s intelligent features, working closely with product and engineering teams to deliver impactful solutions. Build and maintain robust APIs and backend systems that enable seamless integration of AI-powered features into ClickUp’s core platform. Develop infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production. Integrate with multiple LLM providers (e.g., OpenAI, Anthropic, Google) and manage model selection, routing, and fallback strategies for optimal performance and cost. Drive the adoption of best practices in AI privacy, security, and compliance, including data anonymization, secure data handling, and regulatory adherence. Optimize platform performance, scalability, and cost-efficiency, leveraging cloud-native technologies and distributed systems. Stay current with ad

TypeScriptPythonAWSAzure
R
📍 New York, NY, United States· Full-time
✓ High-confidence listingCompany trend -99.2%

From $10K/yr

Quick readStrong listing-quality and freshness signals

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role We are looking for an Associate Counsel, Commercial to join Ramp's growing Legal team. Reporting to the Associate General Counsel, Commercial, you'll partner closely with our Sales, Partnerships, Procurement, and other cross-functional teams to help support Ramp's continued growth. You'll review and negotiate commercial agreements, provide practical legal guidance, and help build scalable processes that enable the business to move quickly while managing legal risk. This is an excellent opportunity for an attorney who enjoys working in a fast-paced, high-growth environment and wants to develop as a trusted business partner. We value curiosity, sound judgment, pragmatism, and a willingness to leverage AI and technology to improve the way we work. What You'll Do Review, draft, and negotiate a variety of commercial agreements, including customer agreements, procurement agreements, partnership agreements, and vendor contracts. Partner closely with Sales, Partnerships, Procurement, Security, and other cross-functional teams to provide pract

RestAIGoRust
R
📍 New York, NY, United States· Full-time
✓ High-confidence listingCompany trend -99.2%

From $10K/yr

Quick readStrong listing-quality and freshness signals

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. Ramp is building an AI-native platform that changes how Go-to-Market and Product Growth teams create, launch, and improve customer-facing experiences. We are looking for a product-minded backend engineer to help build the infrastructure and services that power modern growth and marketing at Ramp. The next chapter for this team is to build marketing-led products : intelligent tools that turn strategy into execution, automate complex workflows, and help teams operate across channels with dramatically more leverage. The team will build across creative production, lifecycle marketing, paid media, account-based marketing, experimentation, incentives, and cross-channel orchestration. Examples include AI-powered systems that produce on-brand campaign assets, automate complex marketing workflows, coordinate audiences and execution, and deliver personalized experiences across email, sales outreach, external channels, and Ramp’s product. A core part of this mandate is Ramp’s incentives platform. We are building shared infrastructure to safely target, authoriz

PythonRestAIGo
R
📍 New York, NY, United States· Full-time
✓ High-confidence listingCompany trend -99.2%

From $10K/yr

Quick readStrong listing-quality and freshness signals

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role We’re looking for someone to help lead the future of analytics at Ramp. This person will enable Ramp to get 1% better every day by developing data products and insights. They will partner closely with business stakeholders and product, engineering, and design counterparts to prioritize and execute on work, improve reporting, as well as drive results and process improvements. What You’ll Do Full stack development, building models to consume, transform, and expose data to stakeholders and production systems Drive a culture of experimental design, testing agenda, and best practices Contribute to the culture of Ramp’s data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way Collaborate with P/E/D/D (product, engineering, data and design) teams to develop product roadmaps and measure success Work closely with data engineering teams to capture, move, store, and transform raw data into highly actionable insights, and partner with business teams to turn those insights into action Wha

SQLRestAIGo
R
📍 New York, NY, United States· Full-time
✓ High-confidence listingCompany trend -99.2%

From $10K/yr

Quick readStrong listing-quality and freshness signals

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Over the past few years at Ramp, we've reimagined how businesses manage spend, and the backbone of that vision is Procure-to-Pay. The P2P team builds the systems that connect vendors, invoices, and payments into one seamless, automated flow. It's where billions of dollars move through our platform, and every line of code matters. We're looking for a backend engineer who loves complex systems, obsesses over correctness, and wants to shape how money moves in modern finance software. You'll help design and scale the infrastructure that powers our payment rails, ensures auditability across products, and unlocks the next wave of AI-driven automation. It's a chance to work on systems that actually move money, with a team that cares deeply about precision, reliability, and scale. The problems are tough, the stakes are high, and the impact is massive. What You'll Do Design and build core P2P systems, from invoice ingestion and approval workflows to payment orchestration and reconciliation logic. Enable AI agents to classify, validate, and pro

PythonSQLRestAI
R
📍 New York, NY, United States· Full-time
✓ High-confidence listingCompany trend -99.2%

From $10K/yr

Quick readStrong listing-quality and freshness signals

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. Join our growing Ops Engineering team and help build internal tooling and infrastructure that empowers operators at Ramp. As an internal-facing team, you'll work directly with our operations teams to design, implement, and scale tools and systems that enable them to serve our customers more efficiently and effectively. Much of our work involves managing the Retool platform, building custom tooling on top of platforms like Zendesk, developing internal API to support internal operations, and creating operator-facing applications that help our ops teams move faster and deliver better customer experiences. Ramp is, at its core, an engineering company, and is on a mission to build the best engineering team in the world! The Ops Engineering team is highly cross-functional, working closely with operations, customer support, and other internal stakeholders to solve a wide range of infrastructure and tooling challenges. Our ideal candidate has a strong sense of ownership and enjoys owning projects from inception to scaling them in production. We value people

TypeScriptPythonReactNode.js
R
📍 New York, NY, United States· Full-time
✓ High-confidence listingCompany trend -99.2%

From $10K/yr

Quick readStrong listing-quality and freshness signals

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About Production Engineering Production Engineering is Ramp's infrastructure ownership layer. We exist to make Ramp faster, more reliable, and more scalable — and we do that by being embedded in the problems, not adjacent to them. A few things that define how we operate: One team, one company, one objective. There is no "infra team" and "product team" — there is Ramp. We share the company's goals as our own. When a product team struggles with reliability or scalability, that is our struggle. If reliability or scalability is at risk, we own it. We don't wait to be invited, and we don't ask whose code it is. If a system is slow, if it breaks, if it won't scale — that's ours to lead, regardless of where it lives in the stack. We go first, and we go fast. When the path isn't obvious, we don't wait for someone else to find it. We move with urgency, propose the solution, align the stakeholders, and stay in until it's done — not until our ticket is closed. We lead the way. We find the next problem before it finds us. And when we solve it, we don't just fix

AWSCI/CDRestAI
R
📍 New York, NY, United States· Full-time
✓ High-confidence listingCompany trend -99.2%

From $10K/yr

Quick readStrong listing-quality and freshness signals

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Join our growing security team and help drive security detection and response initiatives across Ramp. This will include a focus on maturing our security detection and alerting capabilities across our federal and public sector environments. Please note that this role will require you to be comfortable with working in-person at our NYC HQ (located near Madison Square Park) at least 2 days/week What You’ll Do Respond and assist with security requests and incidents submitted by Ramp team members Review logging, alerting, and audit sources to identify potential security incidents and perform initial triage on identified incidents Contribute to the creation, upkeep, and tuning of runbooks and security alerts to effectively handle, triage, and improve security alerts Work closely with the Ramp Security Engineers to improve security alerting and automated remediation Utilize log ingestion platform for security analytics and identification of tactics, techniques and patterns of attackers Design and implement automation to detect and respond t

R
📍 New York, NY, United States· Full-time
✓ High-confidence listingCompany trend -99.2%

From $120K/yr

Quick readStrong listing-quality and freshness signals

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role As an Account Executive | Mid-Market at Ramp, you are a proven hunter & sales closer with track record of quota attainment and overachievement. We believe strongly in our value proposition of aligning incentives with our customers and you will bring it to life through the sales process with C-Level executives and key decision makers. As an early member of the team, you will also have the opportunity to help build the sales engine and define the sales strategy that fuels the growth of the company! What You’ll Do Drive revenue for Ramp, owning the entire sales cycle through close Develop strategies for closing opportunities within your assigned territory Leverage sales methodologies to uncover customer needs and pain points Articulate Ramp’s value proposition by using the appropriate sales qualification standards Own sales activity and monthly revenue forecasting in Salesforce Collaborate with product, design, and engineering teams to incorporate customer feedback What You'll Need Minimum 4 years of quota-carrying direct SaaS sales

R
📍 New York, NY, United States· Full-time
✓ High-confidence listingCompany trend -99.2%

From $10K/yr

Quick readStrong listing-quality and freshness signals

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role The Engineering Platform team helps 300+ Ramp engineers move faster without breaking things. We work across the full software development lifecycle, including local development, CI/CD, testing, service frameworks, reliability, architecture, performance, and maintenance. Platform engineers on this team do not wait for a roadmap to be handed to them. They find high-leverage problems, validate them with engineers and data, ship solutions, and iterate until those solutions are trusted, adopted, and durable. Agentic development has expanded our mission. We are building the systems that let engineers and AI agents work together effectively in Ramp’s large, complex codebases: clear abstractions, orchestration, reliable workflows, fast feedback loops, and strong guardrails are now even more important. These platform investments unlock agentic workflows that can plan, execute, test, review, and ship meaningful changes, helping every engineer and agent at Ramp maximize their impact. What You'll Do Improve Ramp’s development workflows across CI/

PythonCI/CDRestAI
R
📍 New York, NY, United States· Full-time
✓ High-confidence listingCompany trend -99.2%

From $10K/yr

Quick readStrong listing-quality and freshness signals

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role As a software engineer on the AI Soltuions team, you will co-lead customer engagements with an AI Solutions Strategist . The Strategist owns business discovery, ROI narrative, stakeholder alignment, and rollout planning. The engineer owns technical discovery, solution design, prototyping, implementation, and production readiness. This is a deeply client-facing role. You will spend significant time with customers and end users, moving projects from bootcamp and workflow discovery through implementation, launch, and steady production usage. What You’ll Do Translate customer goals into clear system requirements and non-functional requirements covering security, privacy, reliability, performance, scalability, and cost. Partner directly with customers to understand current workflows, constraints, systems, data quality, and adoption blockers. Create and maintain solution architecture artifacts: System context and data flow diagrams Integration plan across Ramp and customer systems Security model covering permissions, access patterns, and au

JavaScriptTypeScriptPythonJava
R
📍 New York, NY, United States· Full-time
✓ High-confidence listingCompany trend -99.2%

From $10K/yr

Quick readStrong listing-quality and freshness signals

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Ramp's Dev API team builds the programmatic surfaces that let developers and AI agents read from and write to Ramp. We are an AI-focused platform team making it trivially easy for any engineer at Ramp (or outside it) to ship new capabilities across all surfaces. Our ideal candidate thinks agent-first, has strong opinions on developer experience, and wants to define how software interacts with financial infrastructure at scale. Check out our Engineering Blog for more on our tech stack, mission, and values! What You'll Do Build and operate Ramp's multi-surface platform with a high bar for reliability, correctness, and developer experience across tens of thousands of businesses. Serve thousands of builders and partners using our API, driving a large fraction of Ramp’s revenue, and deliver on a massive business opportunity to embed Ramp everywhere. Build software factories -- autonomous tooling and agents that accelerate endpoint creation, enabling teams across Ramp to ship their own API surfaces. Lead design and execution of complex back

PythonRestAIGo
R
📍 New York, NY, United States· Full-time
✓ High-confidence listingCompany trend -99.2%

From $10K/yr

Quick readStrong listing-quality and freshness signals

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. The Ramp Revenue team is building an AI-native operating system for Go-to-Market teams. We turn fragmented customer context, communication history, and business signals into trusted agents that can identify opportunities, recommend actions, and execute real revenue work. This is a frontend-focused role for an engineer who obsesses over interaction design and complex product workflows, but is just as comfortable shaping the APIs and data contracts behind them. You’ll own the surfaces revenue teams actually use: agent-generated work, account and opportunity intelligence, approvals, workflow configuration, and execution experiences that bring together customer data, AI reasoning, and human judgment. If you want your frontend work to sit at the center of production agent systems—rather than being added after the intelligence and workflow decisions have already been made—this is the role. What You’ll Do Design and ship AI-native revenue products end to end, from React interfaces through the APIs and data contracts behind them. Build fast, information-den

TypeScriptReactRestAI
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