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Customer Experience Agent Jobs

10,000 active opportunities · Updated for October 2026

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Explore current customer experience agent jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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Decagon
📍 United States• Full-time• Remote• $240K – $280K/yr
3mo ago

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Role Decagon is looking for a Senior Solutions Engineer, Strategic - East, a foundational technical hire who will help shape the future of our AI-powered solutions in the enterprise space. This role sits at the intersection of pre-sales engineering, product strategy, and enterprise architecture. You will serve as a technical advisor and trusted consultant to enterprise prospects and customers, driving value-based solutioning and integration of Decagon’s AI-native platform into complex customer ecosystems. Your background looks something like this 4-6 years of customer facing experience in a sales engineering (pre-sales) role Partner with Account Executives to discover and qualify solutions that lead to strong return on investment for your customer Create and architect generative AI experiences for our customer’s end users Develop custom demonstrations using the Decagon platform tailored to a customer’s specific needs and value Communicate complex technical concepts clearly to diverse stak

REMOTEai
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D
Decagon
📍 Australia• Full-time• A$220K – A$290K/yr
7mo ago

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Role Decagon is looking for a Solutions Engineer , a foundational technical hire who will help shape the future of our AI-powered solutions in the enterprise space. This role sits at the intersection of pre-sales engineering, product strategy, and enterprise architecture. You will serve as a technical advisor and trusted consultant to enterprise prospects and customers, driving value-based solutioning and integration of Decagon’s AI-native platform into complex customer ecosystems. Your background looks something like this 4-6 years of customer facing experience in a sales engineering (pre-sales) role Partner with Account Executives to discover and qualify solutions that lead to strong return on investment for your customer Create and architect generative AI experiences for our customer’s end users Develop custom demonstrations using the Decagon platform tailored to a customer’s specific needs and value Communicate complex technical concepts clearly to diverse stakeholders, including C-le

D
Decagon
📍 United States• Full-time• Remote• $240K – $280K/yr
7mo ago

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Role Decagon is looking for a Strategic Solutions Engineer , a foundational technical hire who will help shape the future of our AI-powered solutions in the enterprise space. This role sits at the intersection of pre-sales engineering, product strategy, and enterprise architecture. You will serve as a technical advisor and trusted consultant to enterprise prospects and customers, driving value-based solutioning and integration of Decagon’s AI-native platform into complex customer ecosystems. Your background looks something like this 4-6 years of customer facing experience in a sales engineering (pre-sales) role Partner with Account Executives to discover and qualify solutions that lead to strong return on investment for your customer Create and architect generative AI experiences for our customer’s end users Develop custom demonstrations using the Decagon platform tailored to a customer’s specific needs and value Communicate complex technical concepts clearly to diverse stakeholders, incl

REMOTEai
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D
Decagon
📍 New York• Full-time• $200K – $280K/yr
9mo ago

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Role Decagon is looking for a Senior Solutions Engineer , a foundational technical hire who will help shape the future of our AI-powered solutions in the enterprise space. This role sits at the intersection of pre-sales engineering, product strategy, and enterprise architecture. You will serve as a technical advisor and trusted consultant to enterprise prospects and customers, driving value-based solutioning and integration of Decagon’s AI-native platform into complex customer ecosystems. Your background looks something like this 4-6 years of customer facing experience in a sales engineering (pre-sales) role Partner with Account Executives to discover and qualify solutions that lead to strong return on investment for your customer Create and architect generative AI experiences for our customer’s end users Develop custom demonstrations using the Decagon platform tailored to a customer’s specific needs and value Communicate complex technical concepts clearly to diverse stakeholders, includi

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Decagon
📍 London• Full-time• £144.3K – £216.4K/yr
11mo ago

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Role Decagon is looking for a Senior Solutions Engineer , a foundational technical hire who will help shape the future of our AI-powered solutions in the enterprise space. This role sits at the intersection of pre-sales engineering, product strategy, and enterprise architecture. You will serve as a technical advisor and trusted consultant to enterprise prospects and customers, driving value-based solutioning and integration of Decagon’s AI-native platform into complex customer ecosystems. Your background looks something like this 4-6 years of customer facing experience in a sales engineering (pre-sales) role Partner with Account Executives to discover and qualify solutions that lead to strong return on investment for your customer Create and architect generative AI experiences for our customer’s end users Develop custom demonstrations using the Decagon platform tailored to a customer’s specific needs and value Communicate complex technical concepts clearly to diverse stakeholders, includi

D
Decagon
📍 San Francisco• Full-time• $200K – $280K/yr
17mo ago

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Role Decagon is looking for a Senior Solutions Engineer , a foundational technical hire who will help shape the future of our AI-powered solutions in the enterprise space. This role sits at the intersection of pre-sales engineering, product strategy, and enterprise architecture. You will serve as a technical advisor and trusted consultant to enterprise prospects and customers, driving value-based solutioning and integration of Decagon’s AI-native platform into complex customer ecosystems. Your background looks something like this 4-6 years of customer facing experience in a sales engineering (pre-sales) role Partner with Account Executives to discover and qualify solutions that lead to strong return on investment for your customer Create and architect generative AI experiences for our customer’s end users Develop custom demonstrations using the Decagon platform tailored to a customer’s specific needs and value Communicate complex technical concepts clearly to diverse stakeholders, includi

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Pendo
📍 New York• $148K – $178K/yr
1mo ago

Software Engineer (AI) The Team + The Role Pendo spent a decade helping companies understand how people use their software. Agents are the next surface, and this team builds the product for it: customers install Pendo on their own agentic systems, including MCP servers, agent frameworks, and copilots, and Pendo shows them what those agents are actually doing. The team helps customers understand which tools get called, where calls fail, where a contract confuses the model, and what to fix next. As an AI Software Engineer, you will own features end to end across the service, interface, and the seam between them. You will work across Go services, Vue interfaces, install experiences, instrumentation, telemetry, and LLM-backed product capabilities. You will start with well-shaped problems and take on progressively more ambiguous work as you build context, writing code others can operate and raising issues early when a spec does not match reality. This role is based in our New York City office. What this looks like day-to-day Full-stack feature delivery: Ship full-stack features end to end across Go services and Vue interfaces. You will work across backend and frontend boundaries to build product experiences that are reliable, usable, and ready for production. Customer install and instrumentation: Build the install and instrumentation experience customers drop into their own agentic systems. Your work should be quick to adopt, hard to get wrong, and light enough to run in production. Agent behavior visibility: Capture agent behavior and make it legible for customers. You will help expose tool calls, failures, latency, and the places where a model and a tool contract talk past each other. LLM-backed product development: Work on LLM-backed features including prompt and context design, tool calling, evaluation, and related failure modes. You will use hands-on judgment from building with models to improve how customers debug and understand agent behavior. Safe, incremental sh

pythonjavareact
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Lyft
📍 Ukraine Anywhere• Full-time
3mo ago

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 Global Support & Partnerships team is a critical and unique part of helping Lyft succeed in our purpose to Serve and Connect. We support Lyft's international growth by developing integration platforms that seamlessly link global customers to an exceptional customer care experience. We go beyond simply supporting customers; we build the foundational infrastructure that turns every support interaction into a moment of genuine connection. Whether supporting our established North American community or welcoming new users worldwide, we ensure a unified, reliable, and efficient experience for riders, drivers, applicants and support agents alike. We are looking for an experienced technical leader who can support our global ambition by designing, owning, and scaling the Global Support Platform. Responsibilities: Set the technical vision and strategy for a rapidly evolving product area, making high-judgment calls on architecture and technology direction Drive the adoption of AI and machine learning solutions to optimize customer support workflows and enhance operational efficiency across the platform. Lead a team of talented engineers who ship code and tackle hard engineering problems, maintaining a high bar for technical excellence Translate high-level business goals into actionable engineering projects. Own the technical roadmap from conception to delivery, managing cross-team dependencies and mitigating risks. Drive the responsible adoption of AI development tools across engineering teams - modeling effective use, establishing best practices, and mentoring engineers to improve productivity without compromising code quality or security. Champion improvements in system, observability, performance, and tech debt reduction, extending your influence beyond your immediate team. Establish best practices f

pythonjavaaws
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S
3mo ago

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. IN THIS ROLE YOU GET TO: Build revenue pipeline by setting introductory meetings with target influencers and key decision makers Research and build new and existing accounts through rigorous outbound calling efforts and by creating/executing strategic email and social campaigns Perform analysis of inbound and outbound prospects’ business and engage with these prospects by phone and/or email Apply effective communication skills, collaborating directly with customers, sales and cross functional teams Work in a fast-pace environment, take the initiative to get stuff done, try new things and amplify your successes by sharing your findings with your team Attend sales meetings, trainings, and local trade shows to keep current with technology and ecosystem ON DAY ONE WE WILL EXPECT YOU TO HAVE: University degree from an accredited institution A passion for technology and software sales, 1-2 years of customer facing experience is preferred Ability to develop strong, long-lasting relationships (both internal and external) Ability to manage time effectively, work independently, and be self-motivated The ability to thrive in a company environment of rapid change; reacting to management initiatives; taking the "customer view"; adopting customer corporate ‘perspective’; accepting change

aisalesforce
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Snowflake
📍 London• Full-time• Remote
7mo ago

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 about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. IN THIS ROLE YOU GET TO: Build revenue pipeline by setting and leading discovery calls and qualify use cases with target personas Perform account research and build strong POVs to increase Snowflake’s footprint in our largest accounts in EMEA Execute your pipeline strategy focused on target accounts and personas leveraging multi channel approach Apply effective communication skills, collaborating closely with Global Account Managers, Solution Engineers and our Marketing team to drive business outcomes Work in a fast-pace environment, take the initiative to get things done, try new approaches and amplify your successes by sharing your findings with your team Attend sales meetings, trainings, and local trade shows to keep current with technology and ecosystem ON DAY ONE WE WILL EXPECT YOU TO HAVE: University degree from an accredited institution A passion for technology and software sales, with 1-2 years of customer facing experience 1-2 years experience working with large Strategic accounts is preferr

REMOTEaisalesforce
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Vanta
📍 United States• Full-time
2mo ago

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. As a Staff Product Manager, AI Foundations at Vanta, you will build the core AI capabilities that power Vanta’s AI product experiences: the agent harness our agents are built on, and the quality and evaluation stack that makes them trustworthy. The AI pillar is making Vanta the intelligence layer for security and compliance work, wherever that work starts. We build the AI products and foundations that work across Vanta: a cohesive first-party Vanta Agent experience, headless surfaces like MCP and CLI that bring Vanta into tools like Claude Code and Codex, and the shared capabilities that let every team ship high-trust AI products. This role sits behind Vanta’s customer-facing AI experiences. Today, every team shipping AI features has to answer the same hard questions on their own: how to define quality, how to evaluate it, and how to know a change is safe to ship. You will turn those answers into shared foundations, so the AI experiences our customers rely on get better and more trustworthy over time. What you’ll do as a Staff Product Manager, AI Foundations at Vanta: Own the strategy and roadmap for Vanta’s core AI capabilities: the agent harness and the AI quality and evaluation stack Live in agent traces to build intuition for how customers actually use our AI products, and turn that into the highest-leverage improvements Make Vanta’s AI products win on quality: build golden datasets, automated evaluators aligned to expert judgment, and self-serve tooling so PMs, subject-matter experts, and designers can run evals without an engineer in the loop Scale the agent harness: shape the core capabilities Vanta’s agents are built on

restaigo
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O
16mo ago

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Staff Product Designer — AX & Growth (DLG) About the Role Auth0, part of Okta, is redefining identity for a world where users aren't only human. AI agents are beginning to sign up, authenticate, and act autonomously — and Auth0 is building the infrastructure and experience layer for that shift. This role is a foundational design hire on Auth0's India Design Team, part of the global design team. Working at the frontier of Agent Experience (AX) : designing for a largely headless, invisible-UI world where the "user" is often code acting with intent, not a person. You'll join a small pod of PMs and engineers actively defining Auth0's agentic vision from scratch — there's no existing pattern library, so you'll help create it: how agents sign up, authenticate, execute tasks, and how humans stay in control without micromanaging them. Alongside this, you'll own signup and onboarding design for a new customer: the AI-powered developer, whose workflows involve agents and automated tooling from day one. The same instincts that build trust for a human overseeing an agent also build trust for a developer signing up for a self-serve product. We're looking for a self-starter who generates their own hypotheses and builds the roadmap as they go. What You'll Do Agent Experience (AX) - Shape Auth0's agentic vision alongside a small, fast-moving team of PMs and engineers. - Define the "what" for agents — interaction models for sig

awsrestmachine learning
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Perplexity
📍 San Francisco• Full-time• $300K – $405K/yr
1mo ago

Perplexity API Platform Perplexity innovates at the frontier of AI infrastructure, search, and orchestration to serve the world's most discerning users. The Perplexity API Platform brings our technology to the world's most discerning developers. From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry. We believe these same building blocks can and should power the aspirations of builders everywhere. It's one thing to solve planet-scale retrieval, long-horizon orchestration, and other foundational AI challenges within a single product ecosystem. The true measure of success is to turn those solutions into elegant APIs that delight developers and agents alike. Our API Platform delivers frontier intelligence to thousands of customers: startups, trillion-dollar enterprises, U.S. and allied governments, and everyone in between. We've achieved incredible scale, yet we're just getting started. Join us to build tools for curious minds. About this role Perplexity is seeking a strong technical leader to steer the API Platform engineering team through a rapid period of growth. Our company builds technology that reshapes how people search, reason, and interact with the world around them. Week after week, we observe increasing demand for programmatic interfaces to that technology. The API Platform engineering team is charged with designing, implementing, and scaling these interfaces. You and your team will work on an eclectic portfolio spanning distributed systems, performance optimization, agent orchestration, and frontier topics that often change with each passing month. Throughout this work, you'll prioritize great developer and agent experience alike. You'll also define technical strategy for how we scale to meet compounding growth exponentials (number of customers, agents per customer, compute/retrieval per agent, etc.). This role is ideal for seaso

pythonai
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Perplexity
📍 San Francisco• Full-time• $220K – $405K/yr
1mo ago

Perplexity API Platform Perplexity innovates at the frontier of AI infrastructure, search, and orchestration to serve the world's most discerning users. The Perplexity API Platform brings our technology to the world's most discerning developers. From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry. We believe these same building blocks can and should power the aspirations of builders everywhere. It's one thing to solve planet-scale retrieval, long-horizon orchestration, and other foundational AI challenges within a single product ecosystem. The true measure of success is to turn those solutions into elegant APIs that delight developers and agents alike. Our API Platform delivers frontier intelligence to thousands of customers: startups, trillion-dollar enterprises, U.S. and allied governments, and everyone in between. We've achieved incredible scale, yet we're just getting started. Join us to build tools for curious minds. About this role Perplexity is seeking strong engineers with a passion for delivering frontier intelligence and infrastructure to developers. Our company builds technology that reshapes how people search, reason, and interact with the world around them. Week after week, we observe increasing demand for programmatic interfaces to that technology. The API Platform engineering team is charged with designing, implementing, and scaling these interfaces. As a member of our team, you'll work on an eclectic portfolio spanning distributed systems, performance optimization, agent orchestration, and frontier topics that often change with each passing month. Throughout this work, you'll prioritize great developer and agent experience alike. You'll also define technical strategy for how we scale to meet compounding growth exponentials (number of customers, agents per customer, compute/retrieval per agent, etc.). Key Responsibilitie

pythonkubernetesai
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Verkada
📍 San Mateo• $200K – $340K/yr
2mo ago

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role The Alarms team builds the response layer: the software that decides what happens in the minutes after an alarm fires. It uses real-time video, audio, and sensor data to analyze incidents, filter false alarms, and coordinate verifiable action. This platform serves as the central intelligence for our alarm product, seamlessly combining AI-driven automation with human judgment to protect people and spaces at scale. As an Engineering Manager, you will own this system across three surfaces: the customer incident experience, the monitoring software our human operators use to handle alarms at scale, and the integrations that carry an incident out to emergency dispatch. What You'll Do Define where AI acts autonomously and where a human decides, in partnership with the product and our monitoring operations team. Own the real-time work

aiwarehouse
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