Product: AI-driven Human Risk Management platform (agentic security awareness)
Founders: Theo Nasser (CEO), Uzair Ahmed (CTO)
Employees: ~50
Total funding: USD 6,000,000
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Company Overview
Problem Domain
Human cyber risk / security awareness / Human Risk Management (HRM)
Founded
2019
Industry
Cybersecurity / Enterprise SaaS
Funding Track Record
Series A
Crunchbase lists a Series A and indicates AZ-VC as lead investor.
Investor Signal
“Santa Clara Ventures; Tri-Valley Ventures”
Founders
What we do
Join the Team
System Architect
RemoteUnited Kingdom, Europe, United States, Canada, GB
Remote • United Kingdom, Europe, United States, Canada, GB
Who you are
8+ years of experience building and shipping customer-facing software products, with demonstrated technical leadership in at least 5 of those years
Proven track record of architecting and scaling systems that support millions of concurrent users in production environments
Minimum 5 years of hands-on experience designing, building, and operating enterprise-scale distributed systems and cloud infrastructure
Deep expertise in security and risk management within distributed systems—threat modeling, secure architecture, compliance requirements
Experience enhancing and scaling existing systems to meet enterprise requirements, including identifying and remediating architectural gaps at scale
Bachelor's degree in Computer Science, Software Engineering, or a related field from a reputable university (or equivalent demonstrated experience)
Expert-level proficiency with at least two modern programming languages such as Python, TypeScript, or Rails
Demonstrated ability to master new languages and frameworks quickly, evaluating them for production use
Solid understanding of language design trade-offs and performance characteristics
Deep expertise in SQL databases, including schema design, query optimization, indexing strategies, and performance tuning at scale
Experience with advanced SQL concepts: window functions, CTEs, query planning, and optimization strategies
Familiarity with database scaling techniques: replication, sharding, partitioning, and data warehousing approaches
Knowledge of NoSQL systems and understanding of trade-offs between relational and non-relational data models
Experience managing databases under high load with 24/7 uptime requirements
Mastery of AWS infrastructure and services
Deep understanding of containerization and orchestration (Docker, Kubernetes)
Experience with Infrastructure-as-Code approaches and tools (Terraform, CloudFormation, etc.)
Knowledge of distributed systems concepts: consistency models, replication, consensus protocols
Strong understanding of networking, load balancing, and service discovery
Expert-level understanding of the complete technology stack: frontend frameworks, backend APIs, message queues, caching layers, databases, and infrastructure
Experience evaluating and selecting technology stacks for different problem domains
Knowledge of modern API design patterns (REST, GraphQL, gRPC) and their trade-offs
Expertise in designing resilient systems with proper error handling, circuit breakers, and graceful degradation
Mastery of architectural patterns: microservices, event-driven architecture, CQRS, layered architecture
Strong grasp of design principles: SOLID, DRY, KISS, and when to apply or bend them
Experience with system design trade-offs and architectural decision records (ADRs)
Understanding of observability, logging, tracing, and monitoring at scale
Exceptional communication: Able to explain complex architectural concepts clearly to engineers, product teams, and non-technical stakeholders
Strategic thinking: Ability to think about long-term platform evolution while shipping incrementally
Decisiveness: Can make difficult trade-off decisions with incomplete information and drive alignmen
Intellectual humility: Open to being wrong, willing to revisit decisions, and learns from failures
Empathy & mentoring ability: Creates psychological safety for teams, sponsors engineer growth, and builds trust
Bias toward action: Balances perfectionism with pragmatism, ships when the time is right
Systems thinking: Sees connections between components, understands second and third-order effects
Cultural leadership: Models technical pride, ownership, and excellence; influences others through example
What the job involves
Benefits
Health Insurance
Paid annual and medical leaves
Flexibility in how and where you work
Generous parental leave programs
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
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Get to know the role:
Set and communicate clear technical direction for the platform, making strategic architectural decisions that balance innovation, reliability, and maintainability
Rally the engineering team around shared architectural goals and technology choices, building consensus across diverse perspectives
Continuously audit existing implementations to identify architectural weaknesses, performance bottlenecks, and security risks—prioritize improvements that enhance enterprise readiness
Drive continuous improvement of our architecture to meet enterprise requirements: scalability, security compliance, fault tolerance, observability, and operational excellence
Stay ahead of industry trends and evaluate emerging technologies that could enhance our platform's capabilities, security posture, and competitive advantage
Conduct ongoing, systematic reviews of our existing implementations to identify architectural weaknesses, performance limitations, security gaps, and operational challenges
Establish continuous monitoring and assessment processes that keep enterprise readiness metrics visible—scalability, security compliance, resilience, data consistency, and observability
Design and implement incremental improvements that enhance enterprise readiness without disrupting active development and customer-facing operations
Work with product and engineering teams to prioritize architectural enhancements that unlock new enterprise customer capabilities and market opportunities
Document architectural decisions and trade-offs, creating a knowledge base that guides future engineering decisions
Hands-On Technical Leadership:
Get directly involved in critical technical decisions and complex implementations—knowing when to mentor and when to directly code
Lead architecture design reviews and technical discussions, simplifying complex problems into approachable solutions for the entire team
Participate in code reviews, design decisions, and technical spike investigations on high-impact projects
Build proofs-of-concept and prototypes to validate architectural approaches before team-wide adoption
Contribute to critical systems and projects end-to-end, particularly during high-stakes transitions or performance crises
Mentoring & Team Development:
Mentor and sponsor engineers across the organization, creating observable, measurable improvements in their technical growth and career trajectory
Foster a culture of ownership, technical pride, and architectural awareness throughout the engineering team
Balance your own individual contributions with efforts that multiply the effectiveness of peers—enabling others to make better decisions independently
Establish engineering standards, best practices, and architectural patterns that promote consistency and quality across the codebase
Create psychological safety for engineers to question decisions and propose improvements
Cross-Functional Collaboration:
Work as a true partner to product and design teams, where roles blur and you make strategic trade-offs that shape the product direction
Advise leadership on technical feasibility, risks, and resource requirements for ambitious product initiatives
Translate between technical and non-technical stakeholders, making complex architectural concepts understandable to business leaders
Partner with the security and infrastructure teams to ensure compliance, risk management, and operational excellence
Scaling & Performance Engineering:
Design and implement architectures that support millions of concurrent users with sub-second response times and high availability
Lead database optimization efforts; schema design, query optimization, indexing strategies, and scaling approaches for SQL-based systems under extreme load
Architect distributed systems, microservices, and infrastructure approaches that enable independent scaling of system components
Establish monitoring, observability, and alerting frameworks that provide deep insight into system behavior and performance
Manage technical debt strategically, knowing which technical shortcuts are acceptable now and which must be addressed immediately
Security & Risk Management:
Embed security into architectural decisions, ensuring the platform meets enterprise security requirements and compliance standards
Conduct threat modeling and security reviews of critical systems, identifying and mitigating risk vectors
Establish secure coding practices, encryption strategies, and access control patterns across the platform
Partner with security teams to conduct architecture-level risk assessments and ensure compliance with industry standards
Build resilience and disaster recovery into core systems, designing for failure scenarios
