Lookout, Inc. is a globally recognized cybersecurity leader delivering advanced protection for the most vulnerable element of any enterprise security strategy — human error and manipulation. Cloud-native by design, the Lookout platform offers rapid, scalable deployment and simplified security operations, defending the frontline of human-centric attacks—the mobile device.

Attackers now target the human element more than ever, with mobile devices providing the most direct path to their victims. Using social engineering techniques that exploit basic human instincts like trust, curiosity, and urgency, they deceive users into revealing sensitive credentials, allowing them to slip past legacy security solutions.

Lookout Endpoint Detection and Response (EDR) continuously monitors mobile endpoints for signs of human-centric attacks, as well as traditional malware, software vulnerabilities, and other anomalous activity. It uses advanced threat detection techniques, including artificial intelligence (AI) and behavioral analysis, to identify threats before they escalate across the enterprise.

Learn more at www.lookout.com and follow us on the Lookout Blog, LinkedIn, and X.

Job Overview:

We are seeking a motivated and results-driven Enterprise Account Development Representative to join our dynamic sales team. This role is crucial for driving growth through outbound prospecting and inbound lead qualification within an assigned territory. As a self-starter with a passion for building relationships and generating new business, you will play a key role in expanding our enterprise pipeline of qualified opportunities.  

Key Responsibilities:

• Prospecting & Lead Generation:
• Work with enterprise Account Executives (AEs) to build and execute account plans in a targeted Account Based Marketing (ABM) approach. 
• Conduct outbound prospecting into target enterprise accounts using phone, email, LinkedIn, and other channels.
• Qualify inbound leads to identify potential business opportunities.
• Market Knowledge & Competitive Analysis:
• Gain a comprehensive understanding of our value proposition and technology solutions to effectively position them to prospects.
• Stay informed about market conditions, competitors' products, and pricing to enhance industry knowledge.
• Understand the competitive landscape and effectively communicate the value of our solutions and services compared to relevant competitors.
• Collaboration & Strategy Execution:
• Work alongside management, marketing, and sales to identify target customer profiles and execute strategic prospecting plans.
• Collaborate closely with AEs to develop strategic sales approaches and contribute to account mapping and territory planning.
• Partner with sales to achieve goals against a specified territory and quota, understanding the activity drivers necessary for building a healthy pipeline.
• Maintain accurate and complete account data in Salesforce.com including build out of account buying group and technology investments.
• Execute sales plays using the latest technology stack including 6Sense, Salesforce.com, Salesloft, TechTarget Priority Engine, LinkedIn Sales Navigator, etc.

• Sales Strategy & Performance Tracking:
• Assist Account Executives in driving a sufficient pipeline to close deals and assist Account Executives in achieving quota attainment through disciplined sales activity and account coverage. 
•  
• Based in our Boston office, this role follows West Coast hours, offering a unique opportunity to skip the morning rush hour and reclaim your mornings for personal time, fitness, or errands before starting your day.

Qualifications:

• Bachelor's degree or equivalent experience.
• Excellent communication and interpersonal skills, with the ability to build relationships and influence stakeholders.
• Strong analytical skills and the ability to understand market dynamics.
• Proficiency in Salesforce CRM and other sales enablement tools is a plus.
• Self-motivated, goal-oriented, and able to thrive in a fast-paced, metric-driven environment.

What We Offer:

• Competitive salary and commission structure.
• Opportunities for professional growth and advancement.
• A collaborative and innovative work environment.
• Flexible work arrangements to promote work-life balance.

If you're ready to take your sales career to the next level and contribute to a forward-thinking team, we want to hear from you! Apply now to join us as an Enterprise Account Development Representative.

Lookout, Inc. is a globally recognized cybersecurity leader delivering advanced protection for the most vulnerable element of any enterprise security strategy — human error and manipulation. Cloud-native by design, the Lookout platform offers rapid, scalable deployment and simplified security operations, defending the frontline of human-centric attacks—the mobile device.

Attackers now target the human element more than ever, with mobile devices providing the most direct path to their victims. Using social engineering techniques that exploit basic human instincts like trust, curiosity, and urgency, they deceive users into revealing sensitive credentials, allowing them to slip past legacy security solutions.

Lookout Endpoint Detection and Response (EDR) continuously monitors mobile endpoints for signs of human-centric attacks, as well as traditional malware, software vulnerabilities, and other anomalous activity. It uses advanced threat detection techniques, including artificial intelligence (AI) and behavioral analysis, to identify threats before they escalate across the enterprise.

Learn more at www.lookout.com and follow us on the Lookout Blog, LinkedIn, and X.

As a Software Engineer on the Security Intelligence team, you will contribute broadly to the detection engines, analysis systems, and other core intellectual property at Lookout. This position is an opportunity to take on some of the most interesting challenges in the company and join the team that provides the fundamental technological building blocks of the Security Platform that underlies Lookout’s category-defining personal and enterprise products. Lookout’s Security Platform is capable of analyzing millions of apps on a daily basis. Our analysis is trusted by Google to help identify potentially harmful applications before they enter the Play Store and by the world’s leading telecommunications providers to protect their customers.  These are challenging problems and you must be open-minded to tackling new exploratory areas as well as evolving and continually improving key existing systems. You may be called on to work in high scale cloud systems, or directly on mobile platforms.

We're looking for a motivated engineers who has experience building, monitoring, and maintaining high-volume, low-latency distributed SaaS solutions. You will be a member of the team that is responsible for a massively scalable platform that performs static analysis of iOS and Android applications, applying behavioral and malware detection policy.

In this role, you will work closely with Lookout’s security research, data ingestion, and machine learning teams to:

• enable threat hunting for state level security actors and their infrastructure.
• support processing of continuously acquired Android and iOS applications.
• identify components and functionality of mobile applications that can be used to determine their behavior and evaluate possible privacy risks.
• invent new app analysis techniques, engines, and domain specific languages.
• participate in hackathons and innovation fairs.

Requirements for this position:

• A strong motivation for self-directed learning, while collaborating with experts across Lookout engineering teams, to take on challenges in areas such as:
• Scalable distributed systems design.
• Reverse engineering of mobile applications and runtimes.
• Mobile devices and platforms.
• ML based data analysis support.
• Experience designing/implementing large-scale, distributed, production class software on public cloud platforms such as AWS and GCP.
• Strong software engineering fundamentals: object-oriented design, data structures, and algorithms.
• Functional programming experience is highly desired.
• Desire and ability to work across platforms and languages.
• A quality-oriented mindset with a strong commitment to automated testing, metrics collection, monitoring, and continuous improvement in all of your work.
• Ability to drive features from conception to deployment in an agile team with continual delivery.
• 8+ years of overall development experience.
• BS degree in Computer Science or similar Engineering discipline, or equivalent work experience.

Technologies that you will have an opportunity to work with:

• Primarily Scala, with some Java, and occasionally Ruby (in JVM).
• iOS, Android, and their respective development toolchains.
• Graph, SQL, and NoSQL databases including TinkerPop, ElasticSearch, and others.
• AWS and GCP primitives and distributed technologies.
  
  This posting is for an existing vacancy. We are actively recruiting to fill this position immediately

Lookout, Inc. is a globally recognized cybersecurity leader delivering advanced protection for the most vulnerable element of any enterprise security strategy — human error and manipulation. Cloud-native by design, the Lookout platform offers rapid, scalable deployment and simplified security operations, defending the frontline of human-centric attacks—the mobile device. Attackers now target the human element more than ever, with mobile devices providing the most direct path to their victims. Using social engineering techniques that exploit basic human instincts like trust, curiosity, and urgency, they deceive users into revealing sensitive credentials, allowing them to slip past legacy security solutions.

Lookout Endpoint Detection and Response (EDR) continuously monitors mobile endpoints for signs of human-centric attacks, as well as traditional malware, software vulnerabilities, and other anomalous activity. It uses advanced threat detection techniques, including artificial intelligence (AI) and behavioral analysis, to identify threats before they escalate across the enterprise. Learn more at www.lookout.com and follow us on the Lookout Blog, LinkedIn, and X.

Lookout’s backend system supports a massive volume of data and an increasingly high level of demand, from data ingestion to delivery to dynamic analysis. We’re looking for talented and motivated engineers to build core components and services, as well as to contribute to evolving the architecture. We’re a small team working on a very large, modern system with a user base of millions, so you’ll get to work on a cutting-edge product and service on a large scale. We’re responsible for building and maintaining several of the services powering the various Lookout applications..

What you’ll do:

• You will be part of a dynamic and technically diverse group of engineers, where you will get to contribute, influence, learn and grow top notch technical skill sets, while building key features for our customers.
• Own the full machine learning lifecycle, from initial research and design to production deployment, monitoring, and continuous retraining.
• Establish and implement robust frameworks to train, evaluate, stress-test, and monitor ML/AI systems, driving continuous improvement and preventing model drift.
• Address and navigate real-world scale and performance challenges, ensuring all ML/AI models and systems are efficient, robust, and maintain target quality/latency under production constraints.
• Set technical direction as a senior Individual Contributor (IC) and mentor junior engineers.
• Quality is the forefront of all we do, so you will assist with improving all forms of automated testing (unit, integration, functional etc).
• We believe in, and practice, end to end service ownership, so you will fully participate in the ownership of your services and components, including on-call duties.

What we’re looking for: 

• BS/MS in Computer Science or related field/degree with at least  5-8 years of  work experience.
• A proven track record of architecting and deploying practical, high-impact ML/AI systems over multiple years, translating complex models into robust, real-world solutions.
• Experience working cross-functionally with data engineers, platform engineers, and product stakeholders to bring ML/AI systems to life.
• Expert proficiency in Python and strong software engineering skills, including the ability to write reliable, production-grade code. In-depth experience with major ML/Deep Learning frameworks: PyTorch, TensorFlow, scikit-learn.
• Familiarity with modern AI/ML stacks like Hugging Face and LangChain.
• Deep expertise in a wide range of standard ML algorithms, including classification, clustering, regression, and deep learning models. 
• Hands-on experience with the LLM/RAG stack components: embeddings, knowledge graphs, vector databases, retrieval strategies, and prompt engineering. 
• Proven ability to measure and optimize model efficacy using statistical methods.
• Hands-on experience with production ML infrastructure, including feature stores, model management, training/serving pipelines (MLOps), and monitoring tools. 
• Up-to-date with new advances in NLP, LLMs and agent-frameworks.
• Strong grasp of software engineering fundamentals and algorithms.
• Experience with implementing secure, scalable API services.

Bonus Points:

• Practical experience applying advanced techniques to enhance model efficiency, including model distillation (creating smaller, faster student models) and model quantization (reducing memory footprint and latency).
• Experience with efficient Large Language Model (LLM) fine-tuning methods like LoRA and other PEFT techniques.
• Experience working with coding agents (Cursor, Copilot, Claude Code etc..)
• Experience with event streaming frameworks, technologies, patterns and architectures (particularly Kafka or similar)
• Professional programming experience with Scala and Golang
• Experience with serverless architectures on AWS, GCP.
• Experience with Kubernetes, container technology (Docker, ECS, EKS).

Lookout, Inc. is a globally recognized cybersecurity leader delivering advanced protection for the most vulnerable element of any enterprise security strategy — human error and manipulation. Cloud-native by design, the Lookout platform offers rapid, scalable deployment and simplified security operations, defending the frontline of human-centric attacks—the mobile device. Attackers now target the human element more than ever, with mobile devices providing the most direct path to their victims. Using social engineering techniques that exploit basic human instincts like trust, curiosity, and urgency, they deceive users into revealing sensitive credentials, allowing them to slip past legacy security solutions.

Lookout Endpoint Detection and Response (EDR) continuously monitors mobile endpoints for signs of human-centric attacks, as well as traditional malware, software vulnerabilities, and other anomalous activity. It uses advanced threat detection techniques, including artificial intelligence (AI) and behavioral analysis, to identify threats before they escalate across the enterprise. Learn more at www.lookout.com and follow us on the Lookout Blog, LinkedIn, and X.

Lookout’s backend system supports a massive volume of data and an increasingly high level of demand, from data ingestion to delivery to dynamic analysis. We’re looking for talented and motivated engineers to build core components and services, as well as to contribute to evolving the architecture. We’re a small team working on a very large, modern system with a user base of millions, so you’ll get to work on a cutting-edge product and service on a large scale. We’re responsible for building and maintaining several of the services powering the various Lookout applications..

What you’ll do:

• You will be part of a dynamic and technically diverse group of engineers, where you will get to contribute, influence, learn and grow top notch technical skill sets, while building key features for our customers.
• Own the full machine learning lifecycle, from initial research and design to production deployment, monitoring, and continuous retraining.
• Establish and implement robust frameworks to train, evaluate, stress-test, and monitor ML/AI systems, driving continuous improvement and preventing model drift.
• Address and navigate real-world scale and performance challenges, ensuring all ML/AI models and systems are efficient, robust, and maintain target quality/latency under production constraints.
• Set technical direction as a senior Individual Contributor (IC) and mentor junior engineers.
• Quality is the forefront of all we do, so you will assist with improving all forms of automated testing (unit, integration, functional etc).
• We believe in, and practice, end to end service ownership, so you will fully participate in the ownership of your services and components, including on-call duties.

What we’re looking for: 

• BS/MS in Computer Science or related field/degree with at least  5-8 years of  work experience.
• A proven track record of architecting and deploying practical, high-impact ML/AI systems over multiple years, translating complex models into robust, real-world solutions.
• Experience working cross-functionally with data engineers, platform engineers, and product stakeholders to bring ML/AI systems to life.
• Expert proficiency in Python and strong software engineering skills, including the ability to write reliable, production-grade code. In-depth experience with major ML/Deep Learning frameworks: PyTorch, TensorFlow, scikit-learn.
• Familiarity with modern AI/ML stacks like Hugging Face and LangChain.
• Deep expertise in a wide range of standard ML algorithms, including classification, clustering, regression, and deep learning models. 
• Hands-on experience with the LLM/RAG stack components: embeddings, knowledge graphs, vector databases, retrieval strategies, and prompt engineering. 
• Proven ability to measure and optimize model efficacy using statistical methods.
• Hands-on experience with production ML infrastructure, including feature stores, model management, training/serving pipelines (MLOps), and monitoring tools. 
• Up-to-date with new advances in NLP, LLMs and agent-frameworks.
• Strong grasp of software engineering fundamentals and algorithms.
• Experience with implementing secure, scalable API services.

Bonus Points:

• Practical experience applying advanced techniques to enhance model efficiency, including model distillation (creating smaller, faster student models) and model quantization (reducing memory footprint and latency).
• Experience with efficient Large Language Model (LLM) fine-tuning methods like LoRA and other PEFT techniques.
• Experience working with coding agents (Cursor, Copilot, Claude Code etc..)
• Experience with event streaming frameworks, technologies, patterns and architectures (particularly Kafka or similar)
• Professional programming experience with Scala and Golang
• Experience with serverless architectures on AWS, GCP.
• Experience with Kubernetes, container technology (Docker, ECS, EKS).

Lookout, Inc. is a globally recognized cybersecurity leader delivering advanced protection for the most vulnerable element of any enterprise security strategy — human error and manipulation. Cloud-native by design, the Lookout platform offers rapid, scalable deployment and simplified security operations, defending the frontline of human-centric attacks—the mobile device. Attackers now target the human element more than ever, with mobile devices providing the most direct path to their victims. Using social engineering techniques that exploit basic human instincts like trust, curiosity, and urgency, they deceive users into revealing sensitive credentials, allowing them to slip past legacy security solutions.

Lookout Endpoint Detection and Response (EDR) continuously monitors mobile endpoints for signs of human-centric attacks, as well as traditional malware, software vulnerabilities, and other anomalous activity. It uses advanced threat detection techniques, including artificial intelligence (AI) and behavioral analysis, to identify threats before they escalate across the enterprise. Learn more at www.lookout.com and follow us on the Lookout Blog, LinkedIn, and X.

Lookout’s backend system supports a massive volume of data and an increasingly high level of demand, from data ingestion to delivery to dynamic analysis. We’re looking for talented and motivated engineers to build core components and services, as well as to contribute to evolving the architecture. We’re a small team working on a very large, modern system with a user base of millions, so you’ll get to work on a cutting-edge product and service on a large scale. We’re responsible for building and maintaining several of the services powering the various Lookout applications. We build services in Ruby & Scala, are hosted on AWS and firmly believe in using the cloud to our advantage.

What you’ll do:

• You will be part of a dynamic and technically diverse group of engineers, where you will get to contribute, influence, learn and grow top notch technical skill sets, while building key features for our customers.
• Implement large scale, low latency microservices, including discovering and solving complex issues at scale.
• We believe in, and practice, end to end service ownership, so you will fully participate in the ownership of your services and components, including on-call duties.
• Quality is the forefront of all we do, so you will assist with improving all forms of automated testing (unit, integration, functional etc).
• Help troubleshoot, analyze and root cause issues in the platform.
• You will work on microservices built with Golang, Scala, Java and Ruby, hosted in AWS.

What we’re looking for: 

• BS/MS in Computer Science or related field/degree with at least  3-5 years of  work experience.
• Professional programming experience with Golang, Python, Scala, Java and/or Ruby+Rails.
• Strong grasp of software engineering fundamentals and algorithms.
• Experience with event streaming frameworks, technologies, patterns and architectures (particularly Kafka or similar)
• Experience with implementing secure, scalable API services
• Experience with transactional databases and data modeling (Postgres, MySQL, DynamoDB or equivalent)
• Cloud development experience (especially AWS).
• A pragmatic and curious problem-solver. You thrive on breaking down complex challenges, asking insightful questions to understand the "why," and delivering effective, practical solutions.
• A high-ownership collaborator with keen attention to detail. You take full accountability for your work, communicate clearly with your team, and are obsessed with shipping high-quality, well-crafted code.

Bonus Points:

• Experience with serverless architectures on AWS, GCP.
• Experience with Kubernetes, container technology (Docker, ECS, EKS).
• Experience with functional programming in TypeLevel Scala (cats-effect, ZIO, FS2, etc).
• Experience with ML/LLMs (prompt engineering, RAG, classification, NLP, fine tuning etc) is a huge plus.
• Experience with AI development tools like Cursor, Claude Code, Github Copilot, etc.

Lookout, Inc. is a globally recognized cybersecurity leader delivering advanced protection for the most vulnerable element of any enterprise security strategy — human error and manipulation. Cloud-native by design, the Lookout platform offers rapid, scalable deployment and simplified security operations, defending the frontline of human-centric attacks—the mobile device. Attackers now target the human element more than ever, with mobile devices providing the most direct path to their victims. Using social engineering techniques that exploit basic human instincts like trust, curiosity, and urgency, they deceive users into revealing sensitive credentials, allowing them to slip past legacy security solutions.

Lookout Endpoint Detection and Response (EDR) continuously monitors mobile endpoints for signs of human-centric attacks, as well as traditional malware, software vulnerabilities, and other anomalous activity. It uses advanced threat detection techniques, including artificial intelligence (AI) and behavioral analysis, to identify threats before they escalate across the enterprise. Learn more at www.lookout.com and follow us on the Lookout Blog, LinkedIn, and X.

Lookout’s backend system supports a massive volume of data and an increasingly high level of demand, from data ingestion to delivery to dynamic analysis. We’re looking for talented and motivated engineers to build core components and services, as well as to contribute to evolving the architecture. We’re a small team working on a very large, modern system with a user base of millions, so you’ll get to work on a cutting-edge product and service on a large scale. We’re responsible for building and maintaining several of the services powering the various Lookout applications. We build services in Ruby & Scala, are hosted on AWS and firmly believe in using the cloud to our advantage.

What you’ll do:

• You will be part of a dynamic and technically diverse group of engineers, where you will get to contribute, influence, learn and grow top notch technical skill sets, while building key features for our customers.
• Implement large scale, low latency microservices, including discovering and solving complex issues at scale.
• We believe in, and practice, end to end service ownership, so you will fully participate in the ownership of your services and components, including on-call duties.
• Quality is the forefront of all we do, so you will assist with improving all forms of automated testing (unit, integration, functional etc).
• Help troubleshoot, analyze and root cause issues in the platform.
• You will work on microservices built with Golang, Scala, Java and Ruby, hosted in AWS.

What we’re looking for: 

• BS/MS in Computer Science or related field/degree with at least  3-5 years of  work experience.
• Professional programming experience with Golang, Python, Scala, Java and/or Ruby+Rails.
• Strong grasp of software engineering fundamentals and algorithms.
• Experience with event streaming frameworks, technologies, patterns and architectures (particularly Kafka or similar)
• Experience with implementing secure, scalable API services
• Experience with transactional databases and data modeling (Postgres, MySQL, DynamoDB or equivalent)
• Cloud development experience (especially AWS).
• A pragmatic and curious problem-solver. You thrive on breaking down complex challenges, asking insightful questions to understand the "why," and delivering effective, practical solutions.
• A high-ownership collaborator with keen attention to detail. You take full accountability for your work, communicate clearly with your team, and are obsessed with shipping high-quality, well-crafted code.

Bonus Points:

• Experience with serverless architectures on AWS, GCP.
• Experience with Kubernetes, container technology (Docker, ECS, EKS).
• Experience with functional programming in TypeLevel Scala (cats-effect, ZIO, FS2, etc).
• Experience with ML/LLMs (prompt engineering, RAG, classification, NLP, fine tuning etc) is a huge plus.
• Experience with AI development tools like Cursor, Claude Code, Github Copilot, etc.