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Monarch is a powerful, all-in-one personal finance platform. We are seeking a Security Engineer with a focus on AI to join our Security Engineering team. This role involves supporting core security operations and specialized AI security initiatives, protecting Monarch’s applications, infrastructure, and data through continuous monitoring, incident response, and risk management. You will also lead efforts to secure agentic AI systems and integrations, acting as the AI Security subject matter expert.

<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">About Us:</h3>Monarch is a powerful, all-in-one personal finance platform designed to help make the complexity of finances feel simple again. Since launching in 2021, we’ve become the top-recommended personal finance app by users and experts. Our goal? To take the stress out of finances so our members can focus on what truly matters.We are a team of do-ers led by experienced entrepreneurs who are passionate about helping our members reach their financial goals. We are hyper focused on building a product people love and continuing to evolve based on user feedback.As a fully remote company (even before COVID!), we welcome applicants from almost anywhere. Our team collaborates synchronously mostly from 9 AM – 2 PM PT and embraces asynchronous work to stay connected across time zones.Join us on our mission to transform lives by simplifying money, together.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">The Role:</h3>Monarch is seeking a Security Engineer with a focus on AI to join our Security Engineering team during a period of hyper-growth. Reporting directly to the Head of Software Infrastructure, you will support both core security operations and specialized AI security initiatives. You’ll help protect Monarch’s applications, infrastructure, and data through continuous monitoring, incident response, and risk management, while also leading efforts to secure agentic AI systems and integrations.As the AI Security subject matter expert (SME), you’ll design and implement controls across AI/ML environments, strengthen our detection and response capabilities, and ensure alignment with Monarch’s AI security standards. This role is critical in maintaining the security and integrity of Monarch’s technology ecosystem as we scale rapidly and adopt emerging AI technologies.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What You’ll Do:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Support ongoing security operations — including monitoring, alerting, incident response, third-party risk assessment, and vulnerability tracking — as part of the Information Security Team’s weekly on-call rotation.</li><li class="leading-relaxed">Assess and monitor applications, infrastructure, and processes for security and privacy risks by conducting threat modeling, enforcing existing controls, and implementing new measures where gaps are identified.</li><li class="leading-relaxed">Design and implement security controls for agentic AI deployment architecture, agent tooling integrations, model training, deployment, and inference environments, acting as the AI security SME.</li><li class="leading-relaxed">Partner with the AI/ML team to develop and maintain detection systems for anomalies, data drift, and model abuse, enhancing visibility and resilience across the AI lifecycle.</li><li class="leading-relaxed">Enforce secure AI development practices in alignment with industry and Monarch-specific AI security standards.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What You’ll Bring:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">5+ years of experience in security engineering, with at least 2 years securing multi-agent AI systems, ML data pipelines, or model deployments.</li><li class="leading-relaxed">Proficiency in Python and JavaScript, with strong knowledge of application security, cloud security (AWS or GCP), and AI agent development.</li><li class="leading-relaxed">Hands-on experience leading security investigations and incident response efforts in complex, cloud-based environments.</li><li class="leading-relaxed">Advanced understanding of AI/ML security, including adversarial AI/ML TTPs, model and data protection techniques, and frameworks such as MITRE ATLAS and NIST AI RMF.</li><li class="leading-relaxed">Familiarity with Risk Management frameworks and execution against SOC2, NIST 800-53, and ISO standards.</li><li class="leading-relaxed">Excellent communication, analytical, and problem-solving skills, with the ability to collaborate cross-functionally with machine learning, legal, and compliance teams; self-motivated and comfortable managing multiple priorities.</li><li class="leading-relaxed">Experience working in a high-growth startup or fast-paced environment.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Nice to Have’s:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Experience conducting application security reviews or penetration tests against applications integrating agentic AI components.</li><li class="leading-relaxed">Familiarity with secure coding for ML and AI systems, data lineage, and model governance frameworks.</li><li class="leading-relaxed">Certifications such as CISSP, CCSP, OSCP, or MLSecOps.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Typical Process:</h3>1. Recruiter Video Call2. Hiring Manager Video Call3. Take Home Assignment4. Virtual “Onsite” Round (2-4 rounds)5. Reference Checks6. Offer!<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Benefits :</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Work wherever you want! As a fully remote company with no central office, we want you to work wherever you are happiest and most productive. Whether that’s out of your home, a co-working space, or elsewhere.</li><li class="leading-relaxed">Competitive cash and equity compensation in a hyper growth, early stage company 🚀.</li><li class="leading-relaxed">Stipend to set-up your ideal working environment.</li><li class="leading-relaxed">Competitive Benefit Plans for employees based on your location (e.g. in the US we offer: Medical, dental and vision benefits and the ability to contribute to a 401k plan).</li><li class="leading-relaxed">Unlimited PTO.</li><li class="leading-relaxed">3 day weekend every month! We take off the “First Friday” every month to focus on rest, recuperation, or just having fun!</li></ul>We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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Motive is seeking a passionate Business Intelligence (BI) Data Engineer to bridge complex data with business domains like Sales, Marketing, and Operations. This role involves empowering teams with accurate, reliable, and insightful analytical datasets to drive critical business decisions. Responsibilities include designing and developing robust data models in Snowflake using dbt and advanced SQL, building and managing data pipelines with Airflow and Python, and implementing rigorous data governance. The engineer will also empower teams with clean data using BI tools like Tableau and Retool, and actively integrate AI tools to enhance analytics.

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<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Who we are:</h3>Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.Motive serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.Visit <a href="http://gomotive.com/" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">gomotive.com</a> to learn more.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">About the Role:</h3>We are looking for a passionate and driven Business Intelligence (BI) Data Engineer to join our growing team. In this pivotal role, you will act as the bridge between our complex data and our business domains, including Sales, Marketing, and Operations. You will be responsible for empowering these teams with accurate, reliable, and insightful analytical datasets that drive critical business decisions.Our data landscape is constantly evolving, and we thrive on innovation. This is an exciting opportunity for a proactive individual who is eager to work with a modern data stack, leverage the power of AI to enhance their work, and continuously learn and adapt to new technologies.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What You’ll Do:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Partner closely with business stakeholders like IT, Customer Support, Marketing, Employee Engagement to understand their challenges and translate requirements into a scalable data architecture.</li><li class="leading-relaxed">Design, develop, and own robust, efficient, and scalable data models in Snowflake using dbt and advanced SQL.</li><li class="leading-relaxed">Build and manage reliable data pipelines using tools like Airflow and Python to ensure data is fresh and trustworthy.</li><li class="leading-relaxed">Implement rigorous testing, documentation, and data governance practices to maintain a single source of truth.</li><li class="leading-relaxed">Empower teams with clean data and well-structured models, enabling them to make data-driven decisions using BI tools like Tableau and Retool.</li><li class="leading-relaxed">Actively explore and integrate AI tools (like Snowflake Cortex AI) to improve data processes, enhance analytics, and uncover deeper insights.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What We’re Looking For:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">6+ years of experience in Analytics Engineering, Data Engineering, or a similar role.</li><li class="leading-relaxed">Deep expertise in SQL and developing complex data models for analytical purposes (e.g., dimensional modeling).</li><li class="leading-relaxed">Hands-on experience with the modern data stack:</li></ul><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Data Warehousing: Snowflake, BiqQuery Redshift, Databricks (Snowflake preferred)</li><li class="leading-relaxed">Data Transformation: dbt</li><li class="leading-relaxed">Orchestration: Airflow</li><li class="leading-relaxed">Cloud Platform: AWS</li><li class="leading-relaxed">Programming/Ingestion: Python (especially for API integration), Fivetran, Airbyte</li></ul><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">A strong analytical mindset with a proven ability to solve ambiguous business problems with data.</li><li class="leading-relaxed">Excellent communication skills and experience working cross-functionally.</li><li class="leading-relaxed">Self-starter with the ability to self-project manage work</li><li class="leading-relaxed">A user focus with the ability to understand how a data consumer will use the data products you build</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Bonus Points (Nice-to-Haves)</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Experience with large-scale data processing using Spark.</li><li class="leading-relaxed">Direct experience with advanced Snowflake features (e.g., Snowpark, Cortex AI).</li><li class="leading-relaxed">Experience building visualizations and dashboards in tools like Tableau, Retool, or Thoughtspot.</li><li class="leading-relaxed">Experience as a data analyst delivering insights to business users</li></ul>Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.Please review our Candidate Privacy Notice <a href="https://drive.google.com/file/d/1UhlKr15Zt3OGONfI6pgA3XfAqQHk5ww/view?usp=sharing" target="blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">here .</a> UK Candidate Privacy Notice <a href="https://docs.google.com/document/d/1AQa2vtWiDxhlMSsKaqrGYk4z8KQaZBdr/edit?usp=sharing&ouid=116247032705400627631&rtpof=true&sd=true" target="blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">here</a> ._The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.#LI-Remote

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

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