Lookout Inc

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 The Canadian base salary range for this full-time position is available below. We offer base + bonus + equity + benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all Canadian locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in Canadian role postings reflect the base salary only, and do not include bonus, equity, or benefits. Remote, Canada $130,000—$170,000 CAD

Please note that for this role, we are only considering residents of: AL, AR, FL, ID, IN, IA, KS, KY, LA, ME, MI, MN, MS, MO, MT, NE, NH, NM, NC, ND, OH, OK, SC, SD, TN, UT, VT, WV, WI, and WY. Lookout, Inc. is the endpoint to cloud security company purpose-built for the intersection of enterprise and personal data. We safeguard data across devices, apps, networks and clouds through our unified, cloud-native security platform — a solution that's as fluid and flexible as the modern digital world. By giving organizations and individuals greater control over their data, we enable them to unleash its value and thrive. Lookout is trusted by enterprises of all sizes, government agencies and millions of consumers to protect sensitive data, enabling them to live, work and connect — freely and safely. To learn more about the Lookout Cloud Security Platform, visit www.lookout.com and follow Lookout on our blog, LinkedIn and Twitter. We are looking for a Staff Security Researcher to join our Threat Intelligence team, a group of top-tier security researchers working to identify, investigate, and track targeted attacks on users of mobile devices. As a member of this team you will use an extensive arsenal of detection tools including the largest collection of mobile apps containing 200M+ Android and iOS apps to find and research mobile malware and hunt down malicious actors, their infrastructure, tooling and techniques. What you’ll do: - Identify, analyze and track advanced nation state and financially motivated threat actors and their tactics, techniques, and procedures (TTPs). - Develop strategies to hunt mobile threats targeting enterprises and individuals. - Reverse-engineer and analyze capabilities of mobile malware. - Investigate adversary command-and-control and phishing infrastructure. - Conduct independent research and report findings to Threat Intelligence customers. - Mine internal and external data sources to identify new campaigns, malware families, and malicious actors. - Devise and implement new detection rules and develop innovative and efficient ways to expand and finetune coverage. - Prepare and deliver public media reports and present findings at conferences. - Participate in activities involving customers, prospects, and partners. What we’re looking for: - Experience in threat hunting across multiple datasets, security tools such as VirusTotal, Validin, and Shodan and leveraging big data technologies (e.g., Lucene, ElasticSearch, AWS Athena). - Experience in reverse engineering software (mobile app reversing preferred). - Ability to articulate technical findings both in written reports and presentations. - Experience using some of the following tools: JEB, IDA Pro, Ghidra, Hopper, Frida, Wireshark, DirBuster. - Ability to read code in Java and C; ARM Assembly, ObjectiveC and Swift is a bonus. - Experience in conducting OSINT investigations. - Ability to create research tools in Python. - Experience with threat intelligence file types, tools and terminology such as MITRE ATT&CK, STIX, YARA, MISP, OpenCTI and the Intelligence Cycle. - Interest in geopolitical dynamics and the ability to apply that context to inform intelligence analysis and threat hunting activities. - Curiosity and a strong drive to understand how both state and criminal actors operate. The US base salary range for this full-time position is available below. We offer base + bonus + equity + benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Remote - US $130,000—$149,000 USD

This role involves spearheading the internal Agentic AI revolution at Lookout, Inc. You will be the primary architect responsible for operationalizing AI across various business functions. Design, Build and Maintain Agentic Workflows: Architect and deploy autonomous AI agents using low-code/no-code orchestration platforms (e.g., N8N) and enterprise LLMs (e.g., Gemini Enterprise). Architect and deploy autonomous AI agents using low-code/no-code orchestration platforms (e.g., N8N) and enterprise LLMs (e.g., Gemini Enterprise). Translate Business Needs to AI Logic: Act as the bridge between non-technical stakeholders and AI capabilities. Dissect requests from departments like Finance or Legal and re-engineer their processes for compatibility with LLMs and agents. Act as the bridge between non-technical stakeholders and AI capabilities. Dissect requests from departments like Finance or Legal and re-engineer their processes for compatibility with LLMs and agents. Systems Integration & Orchestration: Integrate agents with Salesforce, NetSuite, Workday, Marketo, Vena, and other enterprise platforms via APIs and webhooks. Integrate agents with Salesforce, NetSuite, Workday, Marketo, Vena, and other enterprise platforms via APIs and webhooks. Data Strategy for Agents: Extract, clean, and contextually feed data from siloed systems into AI models for accurate outputs. Extract, clean, and contextually feed data from siloed systems into AI models for accurate outputs. Influence Internal AI Strategy: Identify high-value use cases for multi-step agentic automation. Identify high-value use cases for multi-step agentic automation. Governance & Maintenance: Own the lifecycle of internal agents, ensuring security, cost-effectiveness, and functionality. Own the lifecycle of internal agents, ensuring security, cost-effectiveness, and functionality.

This role involves spearheading the internal Agentic AI revolution within Lookout's R&D organization. You will be the primary architect responsible for operationalizing AI across various business functions. Design, Build and Maintain Agentic Workflows: Architect and deploy autonomous AI agents using low-code/no-code orchestration platforms (e.g., N8N) and enterprise LLMs (e.g., Gemini Enterprise). Architect and deploy autonomous AI agents using low-code/no-code orchestration platforms (e.g., N8N) and enterprise LLMs (e.g., Gemini Enterprise). Translate Business Needs to AI Logic: Act as the bridge between non-technical stakeholders and AI capabilities, understanding requests from departments like Finance or Legal. Act as the bridge between non-technical stakeholders and AI capabilities, understanding requests from departments like Finance or Legal. Systems Integration & Orchestration: Integrate agents with Salesforce, NetSuite, Workday, Marketo, Vena, and other enterprise platforms via APIs and webhooks. Integrate agents with Salesforce, NetSuite, Workday, Marketo, Vena, and other enterprise platforms via APIs and webhooks. Data Strategy for Agents: Extract, clean, and contextually feed data from siloed systems into AI models for accurate outputs. Extract, clean, and contextually feed data from siloed systems into AI models for accurate outputs. Influence Internal AI Strategy: Identify high-value use cases for multi-step agentic automation. Identify high-value use cases for multi-step agentic automation. Governance & Maintenance: Own the lifecycle of internal agents, ensuring they remain secure, cost-effective, and functional. Own the lifecycle of internal agents, ensuring they remain secure, cost-effective, and functional.