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3,616 active opportunities · Updated for October 2026

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Explore current startups marketing lead jobs. Use filters to narrow by work mode, employment type, experience and date posted.

RI
RapidFort, Inc.
📍 Reunion• Full-time• From $130K/yr
5mo ago

Senior Container Security Engineer – CVE Remediation & Image Hardening About the Role We are looking for a hands-on Senior Container Security Engineer to lead vulnerability remediation and image hardening across Linux-based container environments. This role focuses on deep operating system and container security engineering rather than simple vulnerability scanning. You will analyze, remediate, rebuild, harden, and continuously optimize container images used in modern cloud-native platforms. You will work closely with platform engineering, DevOps, infrastructure, and security teams to build automated remediation pipelines, reduce the attack surface, and deliver production-ready hardened images. What You’ll Do - Own end-to-end CVE remediation across Linux-based container images. - Analyze vulnerabilities across OS packages, libraries, runtimes, and dependencies. - Patch, rebuild, validate, and maintain hardened container images at scale. - Reduce attack surface by removing unnecessary packages, binaries, services, and dependencies. - Build and scale automated remediation pipelines for continuous image patching. - Improve image security posture while minimizing operational disruption. - Generate, validate, and maintain SBOMs to support supply chain visibility and compliance. - Integrate remediation workflows into CI/CD and GitOps pipelines. - Optimize image size, startup performance, and operational efficiency. - Research emerging Linux, container, Kubernetes, and software supply chain threats. - Troubleshoot complex dependency, package compatibility, and runtime security issues. - Help define internal standards for hardened images and secure software delivery. What You Bring - 5+ years of experience in Linux systems engineering, platform engineering, DevSecOps, security engineering, or SRE. - Deep understanding of Linux distributions (Debian, Ubuntu, Alpine, RHEL). - Strong hands-on experience with Docker, Kubernetes, and

pythonawsazure
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Z
Zencoder
📍 Europe• Remote
5mo ago

About Zencoder At Zencoder.ai , we build and orchestrate AI agents that ship real work - code, research, operations, and more. What started as developer tooling is becoming a platform where people and agents collaborate across knowledge work tasks. The Opportunity We are looking for a Staff Software Engineer to join our engineering team. This is a critical role for an experienced, hands-on technical leader with a broad and deep skillset across multiple languages such as JavaScript and JVM-based (Java/Kotlin) and strong experience building and scaling distributed systems in cloud environments such as AWS or Google Cloud. As a Staff Engineer, you will help drive the technical direction of aspects of our platform, setting high standards for system design, code quality, best practices and architectural clarity. You will collaborate across product and engineering to simplify complexity, improve reliability, and make deliberate trade-offs that empower our teams to move fast without sacrificing maintainability. This is a unique opportunity to join an early-stage company led by serial entrepreneur Andrew Filev (founder of a unicorn startup), and shape a product that is redefining how software is built. Key Responsibilities Act as a technical thought leader, setting a high bar for engineering quality. Be hands-on, writing code for new features, prototyping, refactoring existing code to meet best practices, etc. Lead design discussions and architecture reviews for high-impact projects. Collaborate with product, design, and research teams to define and evolve user-facing functionality with real developer impact. Evaluate trade-offs thoughtfully across performance, scalability, complexity, and cost and advocate for clear, maintainable solutions. Guide and mentor other engineers, helping them grow while raising the overall technical maturity of the team. Influence engineering culture, driving best practices in testing, observability, security, and cloud design. Essential Q

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R
Ramp
📍 New York• Full-time• From $10K/yr
5mo ago

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 at the stage where every new customer moves the needle in a big way. As our first dedicated Enterprise Account Executive, you’ll be at the forefront of driving net-new revenue. You’ll own the full sales cycle—from prospecting to contract signature—helping land our earliest enterprise and mid-market accounts. Ramp recently acquired Juno to tackle a massive, unsolved problem: guest travel and expense. In this role, you’ll operate as part of Juno—a startup within Ramp—focused on building this product area from the ground up. You’ll have the autonomy and ownership of an early-stage company, combined with the reach, resources, and distribution of Ramp. Guest travel is one of the most fragmented and underserved workflows in modern finance, often managed through spreadsheets, email chains, and manual processes despite representing a meaningful share of company spend. This is an opportunity to define a new category inside Ramp—working on high-impact problems from first principles and helping scale Juno’s product to thousands of customer

restaigo
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SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: We’re looking for individuals with a knack for attention to detail, organization, and coordination. Our Recruiting Coordinators will handle everything from scheduling interviews to tracking candidate data and ensuring that candidates have a lasting positive experience throughout the interview process. The ideal candidate has interest and possibly experience working in a fast-paced startup-like environment while wearing multiple hats to keep our candidate’s experience in mind. Availability, flexibility, and adaptability are the keys to success in this role. RESPONSIBILITIES: Play a crucial role within a fast-paced environment while working to coordinate and manage onsite, phone, and virtual candidate interviews Schedule candidate interviews and handle any type of candidate logistics promptly and accurately Represent and facilitate exceptional partnerships with all stakeholders, candidates, hiring managers, and interviewers to drive excellent customer service and consistent, high-quality work Drive and participate in ad hoc process improvement initiatives and other special projects Ensure data integrity and update candidate records in the applicant tracking system,

project managementlogisticsrecruitment
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SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: We are seeking a highly skilled Electrical Commissioning Technician to support the buildout and energization of SpaceXSI's high-performance data centers. In this critical hands-on role, you will perform commissioning, testing, and troubleshooting of electrical systems that power our next-generation AI supercomputing infrastructure. You will work closely with construction, engineering, and operations teams to ensure safe, reliable, and high-quality electrical systems from initial installation through full system turnover. This is a full-time, onsite role with significant travel to SpaceXSI data center sites. RESPONSIBILITIES: Execute electrical commissioning activities for medium and low voltage power distribution systems, switchgear, transformers, UPS systems, generators, PDUs, and associated controls in data center environments. Perform point-to-point wiring checks, functional testing, calibration, and system integration verification. Troubleshoot and resolve electrical issues during pre-commissioning, commissioning, and startup phases. Develop and execute detailed commissioning test procedures, scripts, and documentation in accordance with project specification

airecruitment
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Flowcode
📍 New York• Hybrid
5mo ago

Staff Software Engineer - Platform Location: Soho, NYC / Remote Department: Engineering The Role We’re looking for a Staff Software Engineer to help grow and build the core platform that powers our Flowcode 2 application at scale. This role sits at the intersection of architecture, leadership, and pragmatic execution with a focus on creating and augmenting reliable, scalable, and extensible services and applications. You’ll operate as a technical leader with in our Platform pod, growing platform capabilities, building new features and problem solving in a dynamic and challenging technical environment.. While this is a hands-on role, it requires a strong bias toward backend systems, distributed architecture and deep technical leadership. We value the ability to guide teams toward pragmatic, high-impact solutions. This role is ideal for an engineer who values simplicity, correctness, and pragmatism, and who can balance long-term platform investments with immediate business needs. What You’ll Do Own critical systems end-to-end, including design, implementation and deployment, Hands on designing, building, and maintaining scalable features across a modern front-end framework and backend services. Architect for growth — help drive your pods’s technical roadmap and shepherd established engineering best practices. Collaborate across teams with product, design, and data to deliver measure, deliver and grows features quickly and iteratively. Mentor and guide senior engineers, raising the bar for technical execution and system design across teams. Balance ideal engineering with the realities of speed, customer needs, and startup resource constraints. Drive improvements in observability, performance, and incident response Advocate for pragmatic solutions, solving the right problems with the appropriate level of complexity. What We’re Looking For 8+ years of experience building and operating production-grade systems, with a strong backend focus. Deep expertise in building

pythonjavaaws
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O
OpenAI
📍 San Francisco• Full-time• Remote• $266K – $445K/yr
5mo ago

About the Team OpenAI’s Applications Engineering organization builds and operates the products (such as ChatGPT & Codex) that bring our cutting-edge research to millions of users and developers worldwide. The Applied Foundations team owns the core product and platform layers that make those experiences possible — from identity & access, to safety to payments & commerce across all of our apps. Our teams span product engineering, infrastructure, and safety, working together to deliver technology that is reliable, secure, and trusted at global scale. About the Role We’re hiring Full-Stack Software Engineers to design and implement safe services, systems and infrastructure that power our core products. In this role, you will: Architect, build, and improve frontend and backend systems. Work across the full stack to build products and systems from initial exploration through launch readiness. Participate in long-term architectural planning and technical design reviews. Collaborate with cross-functional teams to design solutions that protect against and mitigate adversarial attacks without compromising user experience. You might thrive in this role if you: Have built and shipped full-stack apps or systems end-to-end — in fast-moving, startup-like environments. Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. Enjoy building resilient products and services that handle large scale and complexity. Are self-directed and enjoy figuring out the best way to solve a particular problem Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool t

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SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: We are seeking an experienced Mechanical Commissioning Lead to lead the buildout, startup, and handover of mechanical systems for SpaceXSI's high-performance data centers. In this senior hands-on leadership role, you will direct commissioning, testing, troubleshooting, and turnover of critical cooling, air handling, and fluid distribution systems that support next-generation AI supercomputing infrastructure. You will lead a team of commissioning technicians while working closely with construction, engineering, operations, EPC contractors, and OEM vendors to deliver safe, reliable, and high-quality mechanical systems. This is a full-time, onsite role with extensive travel to SpaceXSI data center construction sites across the United States. RESPONSIBILITIES: Lead and execute all mechanical commissioning activities for HVAC systems, chillers, cooling towers, CRAC/CRAH units, pumps, heat exchangers, piping systems, hydronic loops, and associated controls in hyperscale data center environments. Direct functional performance testing, airflow/water flow verification, system balancing, integrated system testing, and system turnover to operations. Oversee troubleshooting

airecruitment
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DA
5mo ago

About the Team The In-Store Customer Success Team is a global, collaborative group of relationship builders, problem solvers, and product experts who help hospitality operators achieve their goals. With empathy and a customer-first mindset, we guide clients through every stage of their journey and ensure they get lasting value from the SevenRooms platform. About the Role As an Implementation Partner, you’ll work directly with new clients to configure and launch their SevenRooms platform. You’ll understand their current challenges, develop onboarding strategies, and guide them through adoption to set them up for long-term success. This role plays a key part in helping our clients get started quickly and effectively, and reports directly to the Regional Lead. You’re excited about this opportunity because you will… Lead Client Onboarding. Manage all onboarding activities including project kick-off, training, configuration, data migration, and launch to help clients reach value quickly. Manage Multiple Projects. Oversee several implementation projects at once, keeping them on schedule and aligned with customer goals and satisfaction. Tailor Solutions to Clients. Work closely with venue stakeholders to understand their goals and customize the SevenRooms platform to meet their needs. Be a Product Expert. Guide clients through the platform, helping them learn and apply tools based on their unique business objectives. Collaborate Across Teams. Partner with Sales and Customer Success to support a smooth handoff and drive product adoption. We’re excited about you because… You have 2+ years of experience in customer-facing roles, ideally in SaaS or hospitality technology You’re a clear and confident communicator, both in writing and in person You’re detail-oriented and bring strong critical thinking and problem-solving skills to your work You’re experienced in managing projects and keeping things on track You thrive in fast-paced, startup environments and love working collabor

REMOTEExcellogisticsrecruitment
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SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: We are seeking a highly skilled Sr. Electrical Commissioning Technician to support the buildout and energization of SpaceXSI's high-performance data centers. In this critical hands-on role, you will perform commissioning, testing, and troubleshooting of electrical systems that power our next-generation AI supercomputing infrastructure. You will work closely with construction, engineering, and operations teams to ensure safe, reliable, and high-quality electrical systems from initial installation through full system turnover. This is a full-time, onsite role with significant travel to SpaceXSI data center sites. RESPONSIBILITIES: Execute electrical commissioning activities for medium and low voltage power distribution systems, switchgear, transformers, UPS systems, generators, PDUs, and associated controls in data center environments. Perform point-to-point wiring checks, functional testing, calibration, and system integration verification. Troubleshoot and resolve electrical issues during pre-commissioning, commissioning, and startup phases. Develop and execute detailed commissioning test procedures, scripts, and documentation in accordance with project specifica

airecruitment
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C
Cohere
📍 Canada• Internship• Remote
5mo ago

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? To have the opportunity to collaborate with Cohere researchers and tools on designing and implementing novel research ideas and shipping state-of-the-art models to production. We have openings in teams covering base model training, retrieval augmented generation, data and evaluation, safety, and finetuning, to name a few; and we are open to receiving intern applications in any research area relating to LLMs to broaden your research connections while obtaining deep experience in a growing AI startup. Please Note: To be eligible for a Research Internship, you must be currently pursuing a PhD in Machine Learning, NLP, or a related discipline. You need to be available for a full-time internship that lasts for 4-6 months. As a Cohere Research Intern, you will: Conduct cutting-edge machine learning research, building and training large language models. Focus on research projects aimed at expanding the frontier of knowledge in language modelling and associate areas such as evaluation, multimodal models, optimisation etc. Disseminate your research results through the production of publications, datasets, and code. Contrib

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E(
Ema (Enterprise Machine Assistant)
📍 San Francisco Bay Area• Full-time• $135K – $225K/yr
5mo ago

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who you are We are seeking an experienced DevOps Engineer to join our growing team and play a pivotal role in designing and building our platform and infrastructure as we continue to scale our product and user base. As a part of our team, you will be working in a dynamic, fast-paced environment to ensure the reliability, scalability, and performance of our systems, while focusing on service architecture and deployment, query optimization, distributed systems, data and machine learning infrastructure, and security and authentication. Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting impact. You will: Partner with product teams to architect, design, and build the foundational infrastructure for our products. Design, develop, and deploy highly available and scalable Multi-tenant SaaS solutions on any one of the public cloud networks like AWS, Azure and GCP. Leverage technologies such as Kubernetes, Helm, Terraform, and Istio to achieve infrastructure resilience. Drive the automation of infrastructure tasks, from provisioning to configuration management and deployment, utilizing tools like Terraform, Ansible, a

awsazuregcp
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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. Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse, using open formats like Apache Iceberg, at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause of production issue and resolution 10x faster. Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world’s leading data platforms. The Role You'll be our dedicated expert in query execution and query performance. That means owning the query execution service end-to-end: working on caching strategies, incremental execution, query rewrites, and other optimizations that directly affect the speed and cost of running Observe at scale. You'll also be the go-to resource when query latency issues arise during customer evaluations and new deal cycles, diagnosing root causes

aigorust
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S
Snowflake
📍 Menlo Park• Full-time• $200K – $287.5K/yr
5mo 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. Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse, using open formats like Apache Iceberg, at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause of production issue and resolution 10x faster. Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world’s leading data platforms. We are hiring a Senior Frontend Engineer, AI Products team at Observe by Snowflake. As an AI Product engineer you'll always be thinking first about the user experience and how to create the best product, technical choices, and implementation decisions that stem from that product first thinking. This team builds the AI-powered products and developer tooling at the core of Observe's platform, including our flagship AI SRE product, real-tim

typescriptnode.jsai
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V
Verkada
📍 San Mateo• $130K – $280K/yr
6mo 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 Team As a member of the Alarms engineering team, you will be responsible for building compelling user experiences for one of Verkada’s major new product categories. This is an opportunity to take ownership over software products which keep our customers protected in times of critical need. You’ll be working alongside a small, dynamic team of frontend, backend and firmware engineers to develop these experiences. Our team operates as a startup within a startup, so you can expect a lot of autonomy and impact on the direction of the Alarms product category. If you are an experienced, Backend Engineer who is excited about building new ways to keep people safe and secure, then we want to hear from you. About the Role Verkada’s Alarms team builds the intelligent systems that detect, verify, and respond to real-wo

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