Ai Agent Engineer Jobs

Role Description The Dropbox Business Development team builds and grows strategic partnerships that expand Dropbox's reach, deepen product adoption, and drive long-term customer and revenue growth. As a Business Development Manager, you will own a portfolio spanning AI, platform/developer, hardware, AI, and SaaS ecosystems. You will manage the full partnership lifecycle—from opportunity identification and commercial strategy through launch, ongoing growth, and partner success. You will play a key role in shaping Dropbox's partnership strategy by identifying growth opportunities, evaluating business cases, and translating partner needs into integrated customer experiences. You will work closely with Product, Engineering, Finance, Legal, Marketing, and Sales to execute partnerships across device distribution and AI agent ecosystems. This role offers significant exposure to senior leaders and external executives while owning partnerships with meaningful strategic and commercial impact. AI and automation are increasingly embedded in our workflows, accelerating research, partner preparation, and administrative work. Success in this role comes from using these capabilities to increase efficiency while focusing your time on strategic decision-making, commercial negotiations, and relationship management. Responsibilities Own and grow strategic distribution and ecosystem partnerships to drive customer acquisition, product adoption, and revenue growth. Identify, evaluate, and develop commercial opportunities with existing and prospective partners. Build business cases and financial models that inform partnership strategy and investment decisions. Lead or support commercial negotiations while balancing strategic objectives, customer value, and financial outcomes. Build trusted executive relationships through regular business reviews, strategic planning, and cross-functional collaboration. Analyze partner performance and leverage data, experimentation, and AI-enabled tools to o

Team description At Datadog, AI agents are becoming first-class consumers of observability, security, and software delivery data — from third-party coding agents like Claude Code, Cursor, and Copilot, to our own Bits SRE, Bits Assistant, and Bits Dev Agent. The Agentic Interfaces team owns the platform that connects these agents to Datadog: the MCP Server, the tools and retrieval surfaces agents call into, and — critically — the evaluation systems that tell us whether an agent's experience on Datadog data is actually getting better over time. This role is about that last piece. We're hiring a Staff Applied Scientist to define what "good" means for an Agentic interface at Datadog and to build the measurement systems that make it true. "Good" isn't one number — it spans answer quality, tool-selection accuracy, retrieval relevance, latency, token cost, and end-to-end agent success on real customer workflows. You'll design the evals, build the datasets, define the metrics, and partner with the AI engineers on the team to land the platform that lets every product group at Datadog ship integrations that are demonstrably better release over release. The space is full of open research questions. How do you evaluate an agent end-to-end when the trajectory is non-deterministic? How do you score tool selection when the tool catalog has hundreds of entries and grows weekly? How do you build a measurement system that catches regressions across first-party and third-party agents at once, without each team writing their own harness? If those are the problems you want to spend your time on, come build this with us. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. What You’ll Do: Own the evaluation strategy for Datadog's AI agent integrations. Define the metrics — offline and online, quali

This role oversees the lifecycle of forward-deployed engineering engagements in which MongoDB Forward Deployed Engineers (FDEs) partner closely with customer engineering teams to build working agents. It is a high-impact role at the intersection of customer delivery, AI agent development, and product feedback. By working closely with customers during implementation, the Sr. Technical Program Manager helps shape real-world agent outcomes, demonstrate the value of MongoDB’s platform in live enterprise environments, and bring back insights that can inform future product direction. These engagements are designed to help customers realize business value from our platform, accelerate successful agent delivery, and generate product feedback through close collaboration during implementation. The Sr. Technical Program Manager, FDE Engagements drives successful delivery by aligning stakeholders, managing risks and dependencies, removing operational blockers, and ensuring clear ownership, communication, and decision-making across the engagement lifecycle. In partnership with FDE, Product, Engineering, account teams, and customer stakeholders, this role is accountable for program execution and engagement outcomes. If an action item does not yet have an explicitly assigned owner, the Sr. Technical Program Manager is responsible for driving assignment and follow-through until ownership is clear. Pre-customer environment access Main goals: Secure access to the customer's internal collaboration and development tooling as early as possible Align on the intended behavior, functionality, and architecture of the agents Define how the FDE team and customer engineering team will collaborate on use case and architecture definition, code, and execution Establish the deployment path for MongoDB’s tools across customer development and cloud environments Confirm business goals, technical scope, and success criteria for the engagement During this phase, the Sr. Technical Program Manager partne

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. This is not a back-office compliance role and it is not a generic sales-engineering role. You will operate as a named member of deal teams under our pod model: paired with Strategic and Enterprise Account Executives, embedded in their weekly cadences, engaged from first discovery through POC, onsite, close, and expansion. You will be the practitioner in the room that a buyer's CISO or GRC lead trusts — and the internal expert our AEs, SEs, and marketing team build around. What you’ll do as a Subject Matter Expert at Vanta: Serve as the dedicated GRC SME for a book of Strategic/Enterprise Account Executives: join discovery and qualification calls at the earliest deal stages, scope compliance programs against Vanta's platform, and support demos, POCs, workshops, and customer onsites across Compliance, Third-Party Risk Management, Risk Management, and Trust/Questionnaire Automation. Advise prospects on program architecture: multi-framework strategy, shared controls, business-unit and workspace scoping, custom frameworks, and audit sequencing. Answer field questions through our SME channels at customer-forwardable quality — including reviewing and validating AI-agent-generated answers before they reach customers. Our team runs AI-first: you'll use agents daily, act as the quality gate on their output, and (ideally) build tooling of your own. Design and deliver enablement: live sessions for GTM teams, bootcamp scenarios and mock-customer roleplay, async curriculum modules, and review of GRC marketing and SEO content. Own monthly alignment cadences with sales front-line managers; feed structured product feedback to our Product and PM

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. This is not a back-office compliance role and it is not a generic sales-engineering role. You will operate as a named member of deal teams under our pod model: paired with Strategic and Enterprise Account Executives, embedded in their weekly cadences, engaged from first discovery through POC, onsite, close, and expansion. You will be the practitioner in the room that a buyer's CISO or GRC lead trusts — and the internal expert our AEs, SEs, and marketing team build around. What you’ll do as a Subject Matter Expert, GTM at Vanta: Serve as the dedicated GRC SME for a book of Strategic/Enterprise Account Executives: join discovery and qualification calls at the earliest deal stages, scope compliance programs against Vanta's platform, and support demos, POCs, workshops, and customer onsites across Compliance, Third-Party Risk Management, Risk Management, and Trust/Questionnaire Automation. Advise prospects on program architecture: multi-framework strategy, shared controls, business-unit and workspace scoping, custom frameworks, and audit sequencing. Answer field questions through our SME channels at customer-forwardable quality — including reviewing and validating AI-agent-generated answers before they reach customers. Our team runs AI-first: you'll use agents daily, act as the quality gate on their output, and (ideally) build tooling of your own. Design and deliver enablement: live sessions for GTM teams, bootcamp scenarios and mock-customer roleplay, async curriculum modules, and review of GRC marketing and SEO content. Own monthly alignment cadences with sales front-line managers; feed structured product feedback to our Product a

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. Snowflake is redefining how enterprises bring data, applications, and AI together. As autonomous workflows begin taking actions on behalf of users, identity has officially become the new security perimeter. Every single interaction—whether initiated by a human, an application, a workload, or an AI agent—must be continuously authenticated, authorized, and governed. To unlock this next generation of enterprise software, Snowflake requires an identity platform that extends far beyond traditional workforce authentication to seamlessly support machine identities, fine-grained delegation, and policy-driven access at cloud scale. We are looking for a hands-on, high-impact Product Leader to define and build this foundational trust layer. Operating at a highly strategic intersection of product, engineering, partnerships, and executive-level customer engagement , you will own the core infrastructure that allows complex enterprise systems to securely interact, reason over sensitive data, and safely execute actions. AS A PRINCIPAL PRODUCT MANAGER AT SNOWFLAKE, YOU WILL : Set Portfolio Strategy: Own and define the long-term product strategy and roadmap for Snowflake’s IAM ecosystem, factoring in market-shifting competitive trends and technical evolutions. Build for AI era: Architect IAM

About the Team OpenAI’s Agentic Data Science team helps shape how AI agents are built, deployed, and improved across our products. We partner with product, engineering, research, and security teams to define meaningful measures of success, understand how our systems behave in the real world, and translate evidence into better decisions. As AI agents become more capable, they can write and execute code, access sensitive systems, and complete increasingly complex tasks with greater autonomy. These capabilities create powerful opportunities to improve cybersecurity, but they also introduce risks that traditional security tools and processes were not designed to address. Meeting this moment requires new ways to measure security, evaluate defenses, and distinguish genuine risk reduction from friction that slows users down. About the Role We are looking for a senior data scientist to help define what effective cybersecurity looks like in the age of AI agents. You will work across OpenAI’s Security organization and cybersecurity product teams to measure emerging risks, improve internal security controls, and shape AI-powered security products. The problems are foundational: How do we know whether an agent’s security controls are effective? Which safeguards meaningfully reduce risk, and which create unnecessary friction? When an AI system identifies a potential vulnerability, how do we determine whether the finding is accurate, actionable, and ultimately resolved? How do we detect anomalous behavior or risky access when the systems themselves are changing rapidly? You will report into Data Science while partnering closely with Security, Cyber Product, Engineering, and Research. This is a high-ownership role for someone who can establish a new analytical discipline, operate across organizational boundaries, and turn ambiguous security challenges into measurable improvements. In This Role You Will Define how we measure AI-agent security. Establish metrics and evaluation frame

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. As a Support Systems Lead at Replit, you'll build and own the systems that let support scale as fast as the product does. You'll own the tools our team works in every day, the technical setup behind self-service and AI-driven support, and the infrastructure that keeps all of it current as Replit ships. Replit is at the forefront of AI-driven software development, and how we support customers is constantly evolving. You'll shape how our support systems adapt to new products, new surfaces, and AI-assisted workflows, operating effectively in ambiguity and turning ad hoc fixes into infrastructure the whole team can rely on. You'll combine hands-on technical depth with systems thinking to keep builders moving, whether they get unblocked through self-service, an AI agent, or a person. This is an individual contributor role to start, with room to grow and build out a team as support scales. IN THIS ROLE YOU WILL: Configure and maintain Zendesk and the surrounding support stack, from the day-to-day workflow and automation setup to business rules and permissions, keeping it able to flex and scale as needs change. Build and maintain assignment logic, queues, tagging and taxonomy, and escalation paths, keeping them running cleanly as volume and workflows change. Set up and maintain support tooling, workflows, and access across internal agents, outsourced vendors, and regions, keeping the systems working for each group as the stack changes. Partner with Engineering on the technical requirements for self-service and in-product support surfaces, and build the entry points, help widgets, and routing behind them. Spot the repetitive steps in agent and admin workflows before they become bottlenecks, and build the automations, bulk acti

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. As a Support Systems Lead at Replit, you'll build and own the systems that let support scale as fast as the product does. You'll own the tools our team works in every day, the technical setup behind self-service and AI-driven support, and the infrastructure that keeps all of it current as Replit ships. Replit is at the forefront of AI-driven software development, and how we support customers is constantly evolving. You'll shape how our support systems adapt to new products, new surfaces, and AI-assisted workflows, operating effectively in ambiguity and turning ad hoc fixes into infrastructure the whole team can rely on. You'll combine hands-on technical depth with systems thinking to keep builders moving, whether they get unblocked through self-service, an AI agent, or a person. This is an individual contributor role to start, with room to grow and build out a team as support scales. IN THIS ROLE YOU WILL: Configure and maintain Zendesk and the surrounding support stack, from the day-to-day workflow and automation setup to business rules and permissions, keeping it able to flex and scale as needs change. Build and maintain assignment logic, queues, tagging and taxonomy, and escalation paths, keeping them running cleanly as volume and workflows change. Set up and maintain support tooling, workflows, and access across internal agents, outsourced vendors, and regions, keeping the systems working for each group as the stack changes. Partner with Engineering on the technical requirements for self-service and in-product support surfaces, and build the entry points, help widgets, and routing behind them. Spot the repetitive steps in agent and admin workflows before they become bottlenecks, and build the automations, bulk acti

Security at most companies is reactive. A checkbox for auditors. A speed bump for engineers. A department that says no. That's not what we're building. The Company Sendbird is the #1 CPaaS platform for in-app communications — an enterprise-grade infrastructure company that gives businesses the APIs and SDKs to embed real-time chat, voice, and video directly into their own products. Over 4,000 brands trust us. Seven billion messages flow through our platform every month. 300 million monthly active users. We powered conversations for DoorDash, Match Group, Noom, Yahoo Sports, Rakuten, and thousands more. We were good at what we did. Really good. So we asked what comes next. With decades of leadership in communications infrastructure, the answer was clear: AI. In February 2025, we launched our AI agent for enterprise CX. Later that year, we introduced Delight.ai — and the name says everything about what we believe. AI's real promise isn't efficiency. It isn't cost savings. It's restoring what customer experience lost somewhere along the way: the feeling of being understood, of being genuinely cared for. We don't want customers to feel satisfied. We want them to feel delighted. The Product Delight.ai is the AI concierge for customer experience. Most AI agents forget you the moment the conversation ends. Ours doesn't. Delight.ai builds memory over time, learns preferences, and connects context across every channel—chat, SMS, email, voice, WhatsApp—without losing the thread. We're building AI that makes customers feel understood, seen, and remembered. Why Head of IT & Security We're an AI company handling enterprise-grade conversations at global scale, and our customers trust us with data that matters. That trust isn't a nice-to-have. It's a competitive differentiator. It's why DoorDash and Match Group chose us. It's why we've earned certifications that our competitors are still chasing. Security here means being a partner to the business, not a blocker. It mea

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. The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection. As a Data Scientist working on Causal Inference in SCC, you'll partner with a strong team of engineers, product managers, designers, and operations leaders to deliver a personalized and exceptional experience for Lyft customers, using rigorous causal inference to guide the highest-stakes decisions we make. We're looking for a motivated and talented Data Scientist with deep causal inference expertise to join the SCC Data Science team. You'll partner closely with the area's tech lead on high-impact work spanning AI-powered support products, differentiated service, and operations optimization. The ideal candidate brings sharp applied inference intuition, a bias toward impact, and the ability to cut through ambiguity in complex problem spaces. You'll work on projects like: Design rigorous experiments and quasi-experiments to measure the causal impact of SCC product and AI-agent launches, and drive data-informed launch decisions. Build causal ML models to optimize concession budget allocation, targeting the right support credit, to the right rider or driver, at the right moment to maximize trust and business impact. Quantify the long-term effects of support-experience changes on rider and driver retention, and uncover heterogeneous treatment effects across our community. Deliver strategic insights on quality–cost tradeoffs, empowering leadership to balance service quality, coverage,

About the Team OpenAI’s Cyber team works to make frontier AI a decisive advantage for defenders. The Cyber Blue Team is an operator-led group focused on turning real defensive problems into better models, useful products, safe Codex workflows, and integrations with the security tools defenders already use. Our ambition is simple: Raise attacker cost. Lower defender toil. Prove it by defending OpenAI; scale it through the ecosystem. We are not setting out to build another SIEM or autonomous SOC. We want to build the AI reasoning and workflow layer that helps security teams investigate threats, create and validate detections, improve their controls, and respond with greater speed and confidence. About the Role We are looking for a Product Manager to help build a new generation of AI-powered cyber defense products. You will work closely with security practitioners, researchers, engineers, designers, internal security teams, customers, and technology partners to turn emerging model capabilities into products that solve meaningful defensive problems. This is an early-stage product role. The work will span product discovery, prototyping, evaluation, development, launch, and iteration. You will help the team identify where AI can create the most value for defenders and translate those opportunities into clear, usable, and trustworthy product experiences. Initial areas of focus may include: Detection engineering and detection-content development Threat hunting and investigation Security validation and control testing AI-agent and MCP runtime defense Integrations with security platforms and enterprise workflows Safe, governed assistance for incident response The specific roadmap will continue to evolve based on model progress, practitioner needs, internal learnings, and customer feedback. In This Role, You Will Work with security practitioners to understand high-value defensive workflows, recurring pain points, and opportunities for AI to materially improve outcomes. Help sh

Client Onboarding Director, Inference and Agentic AI Location: Noida Company: Paytm About Paytm Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. Paytm is building a full stack AI platform focussed on Inference and Agents, enabling large enterprises to deploy AI driven automation across sales, service, operations, and analytics. The Inference and Agentic AI team operates as a cross functional unit spanning engineering, product, data science, business management, and sales, and owns the full lifecycle of AI solutions from opportunity discovery to deployment and scale. Role Overview Paytm is looking to hire a Client Onboarding Director to own implementation delivery and client onboarding governance for Paytm’s AI Inference and Agentic AI products across enterprise clients. This is a managerial role that will lead Client Onboarding Managers and ensure that enterprise deployments move smoothly from sales closure to go live and early adoption. The role sits at the intersection of client teams, product, engineering, business, and sales, and is responsible for converting signed enterprise deals into successful, timely, and scalable deployments. The candidate will own delivery planning, integration governance, risk management, stakeholder communication, and post go live stabilization across enterprise AI agent deployments. The role requires strong program management, technical understanding, client handling, and ability to drive execution across multiple internal and external teams. Key Responsibilities Delivery Ownership and Implementation Governance Own end to end delivery governance for enterprise AI agent deployments from sales handoff to go live and stabilization. Lead the implementation planning process across scope

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? We’re looking for an analytical and experienced Solutions Operations Manager to join our Revenue Operations department, supporting our growing Professional Services (ProServ) and Solutions Engineering (SE) organizations. Our mission in RevOps is to empower Fin's go-to-market teams with the systems, insights, and strategies that drive predictable revenue growth and exceptional customer experiences. In this role, you’ll be a pivotal strategic and operational partner to ProServ and SE leadership - bringing clarity, structure, and data-driven insight to how these teams plan, deliver, and scale. The work you do will directly shape how we operate across the customer lifecycle, helping Fin grow efficiently while delivering meaningful value to customers

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. 🚀 As Senior Manager, CX Operations at ClickUp, you will own strategy, execution, and operational leadership for Technical Account Management (TAM) Operations , spanning Professional Services and Customer Success. Partnering closely with TAM leadership, you will serve as the day-to-day operational leader for the systems, automation, planning, quality, and insights that power our Services & Success organization. You will set the operating rhythm and performance standards for TAM Operations while owning the AI agent harness and automation layer within your domain. You will shape the cadence of business for TAM, unlock data insights, coach organizational performance, transform internal capabilities, and influence strategic decisions across Services, Success, and cross-functional leadership. You will architect, ship, operate, and iterate on AI-driven workflows that enhance and automate customer health inspection, engagement management, services delivery, quality measurement, and decision support across TAM and CX. About the Role Strategy & Operations Own the vision and strategy for delivering world-class customer experience through our Services & Success operating model Drive cross-functional alignment across Sales, Product & Engineering, Finance, and Support by synthesizing customer health, retention, and services delivery opportunities into operational priorities Lead and execute strategic initiatives to optimize and transform customer engagement, services delivery, and internal collaboration processes Extract key business insights from qualitative and quantitative data, identify risks and o