At Arctic Wolf, you won’t just watch the cybersecurity industry evolve – you'll help lead the change. Our global Pack is made up of people who thrive on solving hard problems, moving fast, and building technology that protects organizations around the world. We’re proud to be recognized by Forbes, CNBC, Fortune, CRN, Bartner Peer Insights and IDC MarketScape – but what matters most is the work behind it: delivering real outcomes for customers through award winning innovation like our Aurora Platform. If you’re looking for meaningful work, smart teammates and the chance to make a real impact in a high-growth company that’s redefining security operations, Arctic Wolf is the right place for you!   Our mission is simple: End Cyber Risk. We’re looking for a Staff AI Developer to be part of making that happen.     About the role The Staff AI Developer will lead the design and development of agentic workflows and machine learning / Generative AI models within Arctic Wolf Labs. This role focuses on providing technical direction for the team in building scalable systems that collate security operations process data, train and fine-tune AI models, and measure quality of output across a global security operations team. You will architect and implement solutions that integrate operations process data with knowledge graphs and agentic workflows, enabling structured reasoning and automation in security operations. You will collaborate with security operations analysts, data scientists, platform engineers, and threat researchers to deliver production-grade solutions that enhance Arctic Wolf's mission to end cyber risk. As a Staff AI Developer at Arctic Wolf, you will: - Lead the design and implementation of agentic workflows and fine-tuned models for the automation of security operations processes. - Provide technical direction and guidance to a team of ML engineers and developers through the design, implementation, and testing of AI/ML systems. - Architect ML and data pipelines for the training and deployment of fine-tuned generative AI and machine learning models. - Design systems to unify and correlate data across heterogeneous sources using rule-based, probabilistic, and ML-based approaches. - Work with security operations and other teams to measure, monitor, and evaluate AI quality and iteratively improve. - Determine methods and procedures on new assignments, exercising judgment in selecting approaches and evaluation criteria for obtaining results. - Develop trusted cross-team relationships to deliver solutions that span multiple areas of expertise. - Mentor engineers and emerging technical leaders on the team, fostering a culture of innovation and excellence. - Stay current with emerging trends in machine learning, knowledge graphs, and agentic AI. We’re looking for someone with: - 7+ years of experience building intelligent systems, distributed platforms, or AI-enhanced applications. - 2+ years of experience providing technical direction to a team or leading technical projects. - Strong expertise in production delivery of Generative AI or machine learning systems. - Experience with agentic frameworks (e.g., AgentCore, Amazon Bedrock, LangChain) and LLM integration. - Experience training and tuning AI models, including quality measurement and evaluation (e.g., LLM-as-judge). - Hands-on experience with knowledge graph technologies (e.g., Neptune, Neo4j, RDF/SPARQL, GraphQL). - Familiarity with cloud-native data services (AWS preferred) and data engineering tools (Spark, Flink, Kafka, Databricks). - Experience with infrastructure-as-code, CI/CD, and DevSecOps principles. - Exposure to cybersecurity concepts: threat detection, MITRE ATT&CK, telemetry, and adversarial behavior modeling. - Passion for building intelligent systems that solve real-world security challenges. On-Camera Policy To support a fair, transparent, and engaging interview experience, candidates interviewing remotely are expected to be on camera during all video interviews. Being on camera fosters authentic connection, improves communication, and allows for full engagement from both candidates and interviewers. We understand that technical, bandwidth, or location-related challenges may occasionally prevent video use. If this applies, candidates are required to notify us in advance so we can explore appropriate accommodations. About Arctic Wolf At Arctic Wolf, we foster a collaborative and inclusive work environment that thrives on diversity of thought, background, and culture. This is reflected in our multiple awards, including Top Workplace USA (2021-2024), Best Places to Work – USA (2021-2024), Great Place to Work – Canada (2021-2024), Great Place to Work – UK (2024), and Kununu Top Company – Germany (2024). Our commitment to bold growth and shaping the future of security operations is matched by our dedication to customer satisfaction, with over 7,000 customers worldwide and more than 2,000 channel partners globally. As we continue to expand globally and enhance our technology, Arctic Wolf remains the most trusted name in the industry. Our Values  Arctic Wolf recognizes that success comes from delighting our customers, so we work together to ensure that happens every day. We believe in diversity and inclusion and truly value the unique qualities and unique perspectives all employees bring to the organization. And we appreciate that—by protecting people’s and organizations’ sensitive data and seeking to end cyber risk— we get to work in an industry that is fundamental to the greater good.  We celebrate unique perspectives by creating a platform for all voices to be heard through our Pack Unity program. We encourage all employees to join or create a new alliance. See more about our Pack Unity here.   We also believe and practice corporate responsibility, and have recently joined the Pledge 1% Movement, ensuring that we continue to give back to our community. We know that through our mission to End Cyber Risk we will continue to engage and give back to our communities.  All wolves receive compelling compensation and benefits packages, including:  - Equity for all employees - Flexible time off and paid volunteer days - RRSP and 401k match - Training and career development programs - Comprehensive private benefits plan including medical, mental health, dental, disability, life and AD&D, and value-added services - Robust Employee Assistance Program (EAP) with mental health services - Fertility support and paid parental leave Arctic Wolf is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, provincial, or local law. Arctic Wolf is committed to fostering a welcoming, accessible, respectful, and inclusive environment ensuring equal access and participation for people with disabilities. As such, we strive to make our entire employee experience as accessible as possible and provide accommodations as required for candidates and employees with disabilities and/or other specific needs where possible. Please let us know if you require any accommodations by emailing recruiting@arcticwolf.com.  Security Requirements  - Conducts duties and responsibilities in accordance with AWN’s Information Security policies, standards, processes, and controls to protect the confidentiality, integrity and availability of AWN business information (in accordance with our employee handbook and corporate policies).  - Background checks are required for this position.   - This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (“EAR”).  Please note that, if applicable, an offer for employment will be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations.  The base salary range for this job family is 160,000 to 280,000 USD annually. This range reflects the base pay the company reasonably expects to offer for this position, aligned to the broader job family base pay structure. Actual base pay may vary based on skills, experience, and location, including job family level. In addition to base pay, Arctic Wolf offers variable incentive compensation, new hire equity grants, and a comprehensive benefits package.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. At Elastic, we have a simple goal: to solve the world's data problems with products that delight and inspire. As the company behind the popular open-source projects — Elasticsearch, Kibana, Logstash, and Beats — we help people around the world do great things with their data. From stock quotes to Twitter streams, Apache logs to WordPress blogs, our products are extending what's possible with data, delivering on the promise that good things come from connecting the dots. The Elastic family unites employees across 40+ countries into one coherent team, while the broader community spans across over 100 countries. What is The Role The Elastic IT team is moving beyond simple chat to the next frontier: Agentic Workflows. We are looking for an innovative Elastic AI Engineer to join our team to build autonomous, enterprise-grounded agents that don't just answer questions—they complete complex business tasks to accelerate productivity across the entire organization. The ideal candidate is an Elastic product expert (including but not limited to Agent Builder and Workflows), using the full power of the Elastic Stack to provide the "brain" and "memory" for our agentic ecosystem. Are you ready to build the agents that supercharge enterprise efficiency? Join us to enable agentic workflows that turn collective knowledge into instant action, empowering everyone at Elastic to achieve more. What You Will Be Doing: - Agentic Strategy & Design: Invent and implement sophisticated agentic workflows that use reasoning and tools to complete end-to-end business processes. - Enterprise Grounding: Apply Retrieval Augmented Generation (RAG) and the Elasticsearch Relevance Engine (ESRE) to ensure agents are deeply grounded in enterprise knowledge for high-accuracy task completion. - AI Model & Tool Integration: Develop and fine-tune LLMs and integrate them with internal APIs and third-party SaaS tools to enable autonomous action. - Scalable Infrastructure: Firm understanding of cloud-based environments (AWS, Azure, GCP) in order to support the high-concurrency demands of enterprise agents. - Lifecycle Management: Oversee the training, deployment, and performance optimization of agents, ensuring they remain secure, reliable, and compliant. - Technical Leadership: Act as a domain expert on the Elastic Stack, making technical recommendations that push the boundaries of AI-driven productivity. - Documentation: Maintain comprehensive documentation of AI workflows, cloud infrastructure, and deployment processes. - Security: Implement standards for security and data privacy to protect sensitive information and ensure compliance with relevant regulations. What you bring: - 3-5 years of work experience in a relevant field. - Minimum 1 year experience building with the Elastic Stack. - Knowledge of Elasticsearch Relevance Engine (ESRE), Jina AI, and advanced RAG patterns is critical. - Proven success in delivering independent GenAI projects, specifically those involving autonomous task completion or complex workflow automation. - Agentic Frameworks: Familiarity with LangGraph, LangChain, and LangSmith for building and debugging multi-agent systems. - Expertise in Enterprise Agentic & Workflow Platforms: Deep familiarity with leading agentic AI and workflow automation platforms (such as Microsoft Copilot Studio, Salesforce Agentforce, ServiceNow AI Agents.) - Market Trend Integration: Proven ability to apply emerging market trends—such as Multi-Agent Orchestration and Model Context Protocol (MCP)—to build high-impact, cost-optimized solutions that scale across the enterprise. - Programming: Experience with Python or TypeScript for backend logic and agent orchestration. - Cloud & Orchestration: Familiarity with Kubernetes (Operators/Controllers), Docker, and Terraform for automated deployment. - Model Expertise: Hands-on experience with LLM providers. Bonus Points - Bachelor’s or Master’s degree in Computer Science or a related engineering field. - Strong communication skills with the ability to translate business requirements into technical agent architectures. - A commitment to Ethical AI and responsible development practices. - Experience with containerization and orchestration (e.g., Docker, Kubernetes). - Knowledge of DevOps practices for model deployment and automation. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $101,900—$161,200 CAD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. - Competitive pay based on the work you do here and not your previous salary - Health coverage for you and your family in many locations - Ability to craft your calendar with flexible locations and schedules for many roles - Generous number of vacation days each year - Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service - Up to 40 hours each year to use toward volunteer projects you love - Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. Coinbase is on a mission to become an "AI-Native" company by 2028, fundamentally transforming how we operate across all functions. As a Senior Software Engineer in this space, you will drive AI adoption across Coinbase by working within one or more AI Growth Pods — internal accelerators that partner with engineering and non-engineering functions to identify, prototype, and scale high-impact AI automation solutions. You will drive initiatives from ideation to initial implementation and broader productionalization, while ensuring these solutions deliver tangible ROI and pave the way for broader AI adoption. This role requires a unique blend of strategic thinking, hands-on technical ability, and exceptional cross-functional collaboration. What You'll Do: - Partner with teams across the organization to deeply understand workflows, identify pain points, and uncover high-leverage opportunities for AI automation and efficiency gains. Translate complex business challenges into actionable AI use cases. - Apply advanced GenAI techniques, including large language models (LLMs) and Agentic AI, to rapidly design, build, and iterate on functional prototypes (e.g., AI agents, custom copilots, intelligent workflows) that address business needs. Write high-quality, well-tested code in Python and Golang to support these solutions. - Collaborate with cross-functional teams to evolve prototypes into scalable, secure, production-grade AI solutions aligned with long-term organizational goals. - Provide guidance on AI capabilities, responsible AI usage, prompt engineering best practices, and strategic integration of AI into daily operations. Mentor team members on design principles, coding standards, and AI productivity tools adoption. - Pilot new AI solutions with functional teams, gather feedback, iterate on prototypes, and support adoption to ensure demonstrable value and smooth transitions. - Partner with central AI Platform and DevX teams to leverage existing infrastructure, contribute to shared knowledge bases, and ensure scalability and security of solutions. - Work with Security, Legal, and Compliance teams to ensure all AI solutions adhere to strict security, privacy, and ethical guidelines, especially for sensitive data and high-risk workflows. - Define success metrics, track ROI, and effectively communicate the value delivered by AI initiatives to stakeholders. - Continuously research and experiment with emerging AI models, tools, and industry best practices to bring cutting-edge solutions to Coinbase. What We're Looking For: - 5+ years of experience in software engineering, with at least 6 months focused on applied AI, Generative AI, or intelligent automation. - Strong Software Engineering Skills: - Proven expertise in designing, building, scaling, and maintaining production services, with a strong understanding of microservices architecture. - Ability to write high-quality, well-tested code that meets customer needs. - Strong technical skills in system design, coding, and debugging complex technical issues to enhance system reliability and scalability. - AI & Automation Skills: - Understanding of LLM capabilities, limitations, and architectures (e.g., RAG, agents, fine-tuning concepts). - Hands-on experience with AI tools and platforms (e.g., enterprise LLMs like Gemini/Claude, no-code/low-code automation platforms, agent frameworks LangChain/LangGraph, Python). - Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human‑in‑the‑loop practices to deliver business‑ready outputs and drive measurable improvements in efficiency, cost, and quality. - Highly analytical and structured problem-solver, comfortable with ambiguity and rapid iteration. - Ability to manage multiple parallel initiatives and prioritize effectively in a fast-paced environment. - Experience working cross-functionally with other engineering and/or non-engineering teams. - Strong understanding of data privacy, security, and ethical considerations related to AI. Nice to Haves: - Prior experience building or implementing AI agents or advanced workflow automation solutions. - Prior experience building production ML/AI systems - Prior crypto or fintech domain experience Job ID: P76294 Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision). Annual base salary range (excluding equity and bonus): $191,100—$191,100 CAD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal OpportunityCoinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Global Data Privacy Notice for Job Candidates and ApplicantsDepending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. AI DisclosureFor select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com

As the AI Revenue Engineer, you will be responsible for developing, deploying, and managing AI-driven agents that streamline sales, marketing, and revenue operations. Key Responsibilities - Build and run autonomous agent systems that execute go-to-market workflows, including research, outreach, data enrichment, and reporting. - Oversee the AI operations toolchain end to end — identifying opportunities for automation, designing and deploying agents, and continuously optimizing performance. - Collaborate directly with leadership to address high-impact operational challenges and drive measurable results. - Maintain and enhance agentic systems integrated with platforms such as HubSpot, Clay, Slack, Notion, and Attention.​