Jobs at Doppel

Develop and operate scalable backend systems for an AI-driven defense platform against digital threats, ensuring production reliability and collaborating across teams.

The Software Engineer, Infrastructure will develop backend infrastructure for scalable monitoring of digital threats using AI, enhancing systems for faster deployment and reliability.

As a Machine Learning Engineer at Doppel, you will design, train, and deploy models for detecting malicious content, working with large datasets and collaborating with teams to ensure scalability and production readiness.

Develop and scale backend systems for automating Security Analyst tasks, leveraging AI to neutralize digital threats swiftly, and mentoring junior engineers.

Doppel seeks an experienced backend engineer to develop scalable infrastructure for their AI-native social engineering defense platform, focusing on efficient data handling and service standardization.

The Forward Deployed Engineer manages enterprise onboarding and API integrations, ensuring platform adoption through strong communication and technical skills, with a focus on troubleshooting and project management.

As a Machine Learning Engineer at Doppel, you will design, train, and deploy ML models for detecting malicious content, ensuring scalability and real-time performance while collaborating with teams and stakeholders.

Doppel seeks engineers for their AI-native social engineering defense platform, focusing on customer-driven solutions and scalable systems monitoring digital threats.

Seeking a fullstack engineer to develop a new Simulation product that includes creating phishing simulations and voice deepfakes using AI.

Drive operational excellence across Product, Engineering, Data/ML, and Customer teams by building scalable processes for roadmap planning, launches, prioritization, and feedback loops. Use SQL, APIs, analytics, and ML fluency to define KPIs, build dashboards, surface insights, remove bottlenecks, and align stakeholders for faster product delivery.

Improve and operationalize detection workflows by designing, testing, and optimizing sourcing queries, collection methods, enrichment logic, and alerts. Partner with Product and Engineering to relay customer feedback and threat trends, analyze recurring alert patterns to inform scalable improvements, and support onboarding and ongoing detection implementations for select customers.

Build the Simulation product as a full‑stack engineer: design and ship AI-powered phishing simulations using LLMs and voice synthesis, create user flows for natural-language simulation creation, scale systems monitoring massive data, and iterate quickly with customers and product teams.

Design, train, and deploy machine learning models for detecting malicious content, working with large datasets and collaborating with teams to enhance system scalability.

Customer-facing software engineer who prototypes and ships AI-powered automations and integrations, troubleshoots enterprise authentication (OAuth, SAML, SCIM), builds API/SIEM/SOAR integrations, and drives deployments and scalable product improvements for enterprise customers.

Build customer-facing, AI-powered integrations and automations; prototype and ship end-to-end solutions; manage multiple enterprise deployments; troubleshoot authentication (OAuth, SAML, SCIM) and integrations; partner with customers and internal teams to translate feedback into scalable product improvements and internal tooling.

The Content Developer will design engaging, AI-enhanced training experiences, transforming complex security concepts into interactive learning formats using tools like Articulate Storyline and AI technologies.