Senior Software Engineer, AI Intelligence Platform

We are on a mission to empower people of all ages to thrive in an increasingly connected world. By uniting the company and Qoria, organizations driven by personal experiences with identity theft and cyberbullying, our AI-powered platform brings together global category leaders to build a safer internet across all stages of life–protecting individuals and families across home, school, and work environments.  Today, our $340M+ ARR platform protects millions of individuals and families, and 32k schools worldwide. Driven by a global team of over 1,000 people, we are combining intelligent digital threat protection with student and child wellbeing tools so everyone can navigate the digital world safely and with confidence.

About the Role

This is a rare opportunity to be a key technical voice on the company's AI Intelligence Platform, which unifies all of the company's data and bridges the gap between AI agents and that data, with security and privacy as its foundational pillars. This platform is how we turn everything the company knows about digital threats into timely, personalized insights that protect our customers and their families from harm, whether that's surfacing the one alert that actually matters, helping a parent understand a change in their child's online behavior, or spotting a scam before it lands.

As a Senior Software Engineer, you'll take on hard technical problems and own them end to end, building the infrastructure that lets AI operate over deeply sensitive information without compromising the security and privacy our customers trust us to hold. You'll work primarily in Python and TypeScript on AWS, on systems that serve millions of the company customers.

This is a deeply technical, hands-on role. You'll take ownership of complex initiatives from architecture through production, and contribute to the technical direction a growing team of engineers builds on. We're looking for more than a strong coder: someone who brings order to ambiguous problems, sets a high standard for security and privacy engineering, and influences across teams through technical leadership.

Day to Day

• Design, document, and drive the architecture for key platform components, ensuring scalability, reliability, security, and alignment with business goals.

• Own complex initiatives from design and architecture through development, deployment, and iteration, navigating ambiguous product goals and translating them into clear, scalable technical requirements.

• Build the foundation that unifies the company's data into a trusted, high-quality source for generating intelligence.

• Architect how AI agents access and reason over sensitive data, designing for least-privilege access, strong isolation, and enforceable privacy guarantees so intelligence can be generated without ever crossing a data-safety boundary.

• Build the systems that turn that intelligence into personalized insights and actions that keep our customers and their families safe.

• Make and defend high-leverage technology choices across the stack, balancing scalability, cost, and operational simplicity.

• Champion engineering best practices for security, privacy, observability, testing, and operational excellence that the teams building on the platform adopt.

• Serve as a technical mentor, providing guidance on design challenges, performance tuning, and system reliability.

What you bring to the table

• 5 - 8+ years of professional software engineering experience, with a track record of designing and shipping complex, large-scale distributed systems.

• Deep experience owning systems end-to-end on complex projects, from architecture through production operation.

• Strong knowledge of software design best practices, data structures, algorithms, and distributed-systems fundamentals.

• In-depth knowledge of cloud technology and the judgment to choose the right tool for the job, from serverless functions vs. containerized services to relational vs. NoSQL databases and the appropriate use of caches, queues, and data-processing pipelines.

• Demonstrated experience building systems that handle sensitive or regulated data, with security and privacy treated as first-class design constraints rather than afterthoughts.

• Exceptional communication and collaboration skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders and to build alignment across teams.

• Demonstrated ability and desire to learn new technologies and to move quickly in a fast-evolving AI landscape.

• Bachelor's Degree in Computer Science or a related field, or equivalent work experience.

It would be great if you also had

• Experience building AI/LLM-powered systems in production, such as agents, retrieval pipelines, evaluation, or LLM observability.

• A strong background in security, privacy engineering, or trust & safety.

• Experience with large-scale data platforms and data-intensive systems.

• Experience with AWS and Infrastructure as Code.

We are proud to be an equal employment workplace. All qualified applicants will be considered for employment without regard to, and will not be discriminated against based on race, color, ancestry, national origin, religion, age, sex, gender, marital status, sexual orientation, gender identity, disability status, veteran status, or any protected category. Beyond equal employment opportunity, we are committed to being an inclusive community where all feel welcome.

We are dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please let your Talent Acquisition Partner know.

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