4 open positions available
Lead and mentor engineering teams on architecture and operations of high-scale data processing and AI-powered cybersecurity platform. | 12+ years experience, strong leadership, expertise in Java and Python, AWS deployment, infrastructure as code, observability, and familiarity with security data. | Anvilogic is a Palo Alto-based AI cybersecurity startup founded in 2019 by security veterans and data scientists from Fortune 500 companies. Our mission is to democratize threat detection and hunting for today’s SOC teams to easily be done across hybrid, multi-clouds and security data lakes without needing to centralize data or rip and replace tools. Further, with our investments in AI-powered automation of detection-as-code to create, test, tune and deploy detections, SOC users can implement high-efficacy detection and hunting techniques without writing a single line of code nor manually wrangling data. Anvilogic raised $45M Series C funding in April 2024 and is backed by top-tier VC firms and prominent industry executives. Anvilogic’s AI-powered Multi-Data Platform SIEM is used by many of the industry’s most advanced security teams. Learn about our customers: anvilogic.com/customers JOB DESCRIPTION As a Principal Software Engineer reporting directly to the SVP of Engineering, you will be a strategic asset across the entire engineering organization, including our high scale data ingestion and processing pipeline, our advanced workflow features, and our AI agents. You will work directly on company critical projects and act as a mentor and standard bearer for engineers throughout the organization. Develop and evangelize architectural best practices for operating maintainable, high scale systems and review designs and code to ensure those practices are being followed Mentor tech leads across various functional areas in developing non-functional requirements, performing code and architecture reviews, and communicating technical concepts at scale Establish operational rigor within engineering for monitoring, alerting, and responding to incidents Work directly with engineering teams to design, build, and operate key parts of Anvilogic’s infrastructure Minimum Qualifications 12+ years of software development experience Excellent written and verbal communication skills Significant experience leading large scale, data heavy, company critical projects, through design, development, and operations Experience defining and evangelizing best practices around architecture, operations, and coding guidelines Experience mentoring senior engineers and tech leads in how to communicate technical topics at scale, define non-functional requirements, measure SLOs, and balance tech foundation and product timelines Ability to run openloop, maximizing engineering impact by balancing time spent on direct development, architectural and code review, and mentorship Ability to quickly come up to speed on our tech stack, which is a mix of python and java, deployed on AWS Preferred Qualifications Experience working with large scale data lakes like Snowflake and Databricks or SIEMs like Splunk Experience deploying services using infrastructure-as-code (Terraform, AWS SAM, CloudFormation, or CDK). Experience with observability technologies like Grafana and Sentry Some experience with LLMs, implementing standard patterns (Agents, RAG, Tools), and leveraging popular frameworks. Familiarity with security data (e.g., endpoint and network logs) US Salary Transparency: The base salary range for this full time position is $250,000-$280,000 + equity + benefits. Final compensation will depend on experience, qualifications, and location. Competitive salary with equity in the company Comprehensive medical, dental, and vision insurance Unlimited paid time off policy for work life balance 401(k) retirement plan with company match Monthly stipend for home internet and cell phone expenses
Design, build, and operate high scale data ingestion and normalization pipelines across multiple cloud platforms and data lakes. | 4+ years software development experience with cloud providers, data lakes like Snowflake or Databricks, Python proficiency, and ability to define non-functional requirements. | Anvilogic is a Palo Alto-based AI cybersecurity startup founded in 2019 by security veterans and data scientists from Fortune 500 companies. Our mission is to democratize threat detection and hunting for today’s SOC teams to easily be done across hybrid, multi-clouds and security data lakes without needing to centralize data or rip and replace tools. Further, with our investments in AI-powered automation of detection-as-code to create, test, tune and deploy detections, SOC users can implement high-efficacy detection and hunting techniques without writing a single line of code nor manually wrangling data. Anvilogic raised $45M Series C funding in April 2024 and is backed by top-tier VC firms and prominent industry executives. Anvilogic’s AI-powered Multi-Data Platform SIEM is used by many of the industry’s most advanced security teams. Learn about our customers: anvilogic.com/customers JOB DESCRIPTION As a Senior Software Engineer, Data at Anvilogic, you are responsible for designing, building, and operating our high scale data ingestion pipelines. You will work directly on company critical projects related to how our users’ data is brought into our data stores, normalized across different data stores, and exposed for analysis, using technologies such as AWS, Azure, Snowflake, Databricks, and Splunk. Design, build, and operate data ingestion and normalization pipelines Work with product management teams to map out non-functional requirements and implement those requirements in your services Deploy and monitor resources in cloud and data lake providers Spread knowledge of data pipeline best practices throughout Anvilogic through mentorship, documentation, and brown bag sessions Minimum Qualifications 4+ years of software development experience Excellent written and verbal communication skills Experience with data lakes such as Snowflake or Databricks Experience with cloud providers such as AWS, GCP, or Azure Experience with defining non-functional requirements, measuring SLOs, and balancing tech foundation and product timelines Ability to quickly come up to speed on our data pipeline techstack, which uses Python deployed on Snowflake and Databricks via AWS, Azure, and GCP. Preferred Qualifications Experience with ingesting large amounts of user data into Snowflake or Databricks Experience deploying services using infrastructure-as-code (Terraform, AWS SAM, CloudFormation, or CDK). Experience with observability technologies like Grafana and Sentry Some experience with LLMs, implementing standard patterns (Agents, RAG, Tools), and leveraging popular frameworks. Familiarity with security data (e.g., endpoint and network logs) Competitive salary with equity in the company Comprehensive medical, dental, and vision insurance Unlimited paid time off policy for work life balance 401(k) retirement plan with company match Monthly stipend for home internet and cell phone expenses
As a Security Agent Engineer, you will design, build, and deploy AI-powered security agents that autonomously analyze complex cybersecurity data and support incident response workflows. You will work with cutting-edge AI/ML techniques to create intelligent systems for detecting and responding to security threats at scale. | Candidates should have at least 5 years of professional experience, with a minimum of 3 years in cybersecurity operations. Proficiency in Python and hands-on experience with incident response, log forensics, and threat hunting across multiple security platforms are essential. | Anvilogic is a Palo Alto-based AI cybersecurity startup founded in 2019 by security veterans and data scientists from Fortune 500 companies. Our mission is to democratize threat detection and hunting for today’s SOC teams to easily be done across hybrid, multi-clouds and security data lakes without needing to centralize data or rip and replace tools. Further, with our investments in AI-powered automation of detection-as-code to create, test, tune and deploy detections, SOC users can implement high-efficacy detection and hunting techniques without writing a single line of code nor manually wrangling data. Anvilogic raised $45M Series C funding in April 2024 and is backed by top-tier VC firms and prominent industry executives. Anvilogic’s AI-powered Multi-Data Platform SIEM is used by many of the industry’s most advanced security teams. Learn about our customers: anvilogic.com/customers JOB DESCRIPTION As a Security Agent Engineer at Anvilogic, you are responsible for designing, building, and deploying AI-powered security agents that autonomously analyze complex cybersecurity data and support incident response workflows. You will combine deep cybersecurity expertise with cutting-edge AI/ML techniques to create intelligent systems that can detect, analyze, and respond to security threats at scale. Working with technologies such as LLMs, agentic frameworks, AWS, Azure, Snowflake, and various security data platforms, you'll build the next generation of autonomous security operations tools. Design, build, and deploy AI-powered security agents for threat detection, incident analysis, and automated response Develop agentic workflows that can autonomously perform log forensics, threat hunting, and incident response tasks Work with product management teams to translate cybersecurity operational requirements into agent capabilities and performance metrics Integrate security agents with existing data lakes, SIEM platforms, and security toolstacks Embed security practitioner knowledge and methodologies into agent decision-making processes Mentor engineering teams on cybersecurity best practices and agent development patterns Collaborate with security operations teams to validate agent outputs and refine detection logic Minimum Qualifications 5+ years of professional experience with minimum 3+ years in cybersecurity operations Excellent written and verbal communication skills Hands-on experience with incident response, log forensics, and threat hunting across multiple security platforms Proficiency in Python with experience in data analysis, security tooling, or automation Experience with LLMs, agentic frameworks (LangChain, CrewAI, AutoGen), and implementing AI patterns (RAG, tool use, multi-agent systems) Understanding of cloud security architectures and data platforms (AWS, Azure, Snowflake, Databricks) Ability to abstract and systematize cybersecurity methodologies for automated implementation Experience with security data formats, log analysis, and threat intelligence Preferred Qualifications Experience building and deploying production AI/ML systems at scale Experience with observability and monitoring tools for AI systems Background in malware analysis, digital forensics, or advanced persistent threat (APT) investigations Experience in conducting security investigations across multiple data platforms Experience with security orchestration platforms (SOAR) and workflow automation Knowledge of threat intelligence platforms and automated threat hunting techniques US Salary Transparency: Competitive salary with equity in the company Comprehensive medical, dental, and vision insurance Unlimited paid time off policy for work life balance 401(k) retirement plan with company match Monthly stipend for home internet and cell phone expenses
The Regional Sales Manager (RSM) will be responsible for building a territory through prospecting for new business and expanding existing accounts. The role includes maintaining a pipeline, driving the end-to-end sales process, and consistently meeting or exceeding quarterly sales targets. | The ideal candidate should have 8+ years of experience in Enterprise Software and Security sales, with a proven track record of engaging with key security stakeholders. Strong prospecting skills and the ability to thrive in a fast-paced environment are essential. | Anvilogic is a Palo Alto-based AI cybersecurity startup founded in 2019 by security veterans and data scientists from Fortune 500 companies. Our mission is to democratize threat detection and hunting for today’s SOC teams to easily be done across hybrid, multi-clouds and security data lakes without needing to centralize data or rip and replace tools. Further, with our investments in AI-powered automation of detection-as-code to create, test, tune and deploy detections, SOC users can implement high-efficacy detection and hunting techniques without writing a single line of code nor manually wrangling data. Anvilogic raised $45M Series C funding in April 2024 and is backed by top-tier VC firms and prominent industry executives. Anvilogic’s AI-powered Multi-Data Platform SIEM is used by many of the industry’s most advanced security teams. Learn about our customers: anvilogic.com/customers Role Description The Regional Sales Manager (RSM) role is an individual contributor role. You will be responsible for building a territory in your respective region primarily through prospecting for new business and expanding existing accounts. You will report to and work closely with the SVP of Sales to create a GTM strategy that will maintain a 3-4x pipeline and meet/exceed quarterly targets. The qualified candidate will build territory and account plans, establish a referenceable customer base through the execution of transactions and the Adoption of the Anvilogic Platform. Develop and execute Territory and Opportunity Plans. Maintain a pipeline at 3–4x coverage through consistent prospecting. Demonstrate strong knowledge of Anvilogic use cases and be prepared to articulate value. Build trusted relationships with Security teams and key stakeholders. Own and drive the end-to-end sales process. Consistently meet or exceed quarterly sales targets. Proactively identify risks in deals and collaborate to mitigate them. Operate with urgency and accountability. Provide accurate weekly sales forecasts. Identify and develop internal Champions. Gain access to Executive Buyers (EBs). Conduct multiple in-person meetings weekly. Contribute to a positive and collaborative team culture. Travel to customers is expected. --- MUST HAVE SOC/SECURITY SOFTWARE SALES EXPERIENCE--- Are you a great fit? Our ideal candidate profile: Experienced Enterprise Sales Representative with 8+ years of Enterprise Software and Security sales success Proven track record engaging with SOC Engineers, SOC Analysts CISOs, Chief Data Officers and CIOs. Ability to manage the business within a defined sales process Strong desire to prospect, lead discovery meetings, and build a high-quality sales pipeline Consistently execute strategies to meet and exceed quarterly targets Forecast accurately each quarter Thrives in fast-paced, high-growth environments High-character, self-motivated team player who is passionate, coachable, humble, and driven to succeed Excellent verbal and written communication skills Positive attitude and a contributor to a strong, fun team culture US Salary Transparency: It is common for employees in this role to receive total On-Target Earnings (OTE) of up to $340,000 Competitive salary with equity in the company Comprehensive medical, dental, and vision insurance Unlimited paid time off policy for work life balance 401(k) retirement plan with company match Monthly stipend for home internet and cell phone expenses
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