- Designation: AVP - Tech
- Years of Experience: Min. 5 to 10 years (**more focus on leadership abilities)
- Location: Remote (first 3 months training in - Dhanbad, India)
- Type: Full time

? About SimuPhish

SimuPhish is an AI-driven Human Risk Management and Phishing Simulation platform built to help organizations strengthen their human firewall through realistic simulations, gamified awareness, and data-driven insights. We empower employees to become the strongest defense against cyber threats.

We are looking for an AI-driven AVP – Tech with prior experience in a Phishing Simulation, Human Risk Management (HRM), or Cybersecurity company.

This is a senior technology leadership role responsible for defining and executing the technology strategy, leading the Tech team, driving AI-led innovation, and ensuring the development of scalable, secure, and high-performing products.

The ideal candidate will combine strong technical expertise across cloud infrastructure, network architecture, backend engineering, and AI with proven leadership capabilities. The AVP – Tech will own the technology roadmap, mentor and guide the engineering team, drive AI-first product development, and align technology initiatives with SimuPhish's business objectives and long-term vision.

We are looking for a strategic yet hands-on technology leader who embraces AI, challenges conventional engineering practices, and builds future-ready technology solutions

? Key Responsibilities

1. Technology Strategy & Leadership

· Define and execute the overall technology strategy, architecture, and roadmap in alignment with business goals and product vision.

· Lead, mentor, and guide the Tech team, establishing clear priorities, ownership, accountability, and delivery expectations.

· Translate business and product requirements into scalable technical strategies, architecture decisions, and actionable engineering plans.

· Establish engineering standards, best practices, code quality benchmarks, documentation requirements, and development processes.

· Oversee technical planning, resource allocation, delivery timelines, dependencies, and engineering performance.

· Build a culture of innovation, collaboration, continuous learning, accountability, and AI-first engineering.

· Identify capability gaps and drive technical upskilling, knowledge sharing, and team development.

· Collaborate with senior leadership, Product, Operations, and other stakeholders to align technology investments with business priorities.

2. AI-First Technology & Innovation

· Champion an AI-first approach across product development, engineering, and technology operations, ensuring AI is embedded into everyday workflows and strategic initiatives.

· Identify and implement opportunities involving Generative AI, LLMs, AI agents, intelligent automation, and AI-driven analytics.

· Drive the development of AI-enabled product capabilities across phishing simulations, human risk insights, security awareness, and advanced threat simulations.

· Evaluate emerging AI technologies, frameworks,



tools, and platforms to accelerate innovation and strengthen product differentiation.

· Enable the Tech team to leverage AI for coding, debugging, testing, code reviews, documentation, architecture design, and workflow automation.

· Establish practical approaches to measure AI adoption, productivity gains, development efficiency, and product impact.

· Ensure AI solutions are scalable, secure, cost-effective, reliable, and aligned with responsible AI practices.

· Drive rapid prototyping, proof of concepts, experimentation, and the adoption of emerging technologies.

3. Technology Architecture & Infrastructure

· Own the end-to-end technical architecture across cloud infrastructure, networking, servers, application systems, integrations, and deployment environments.

· Design and oversee scalable, resilient, secure, and high-performance architectures that support product growth.

· Establish infrastructure standards covering availability, monitoring, performance, access controls, incident management, and disaster recovery.

· Oversee network architecture, including LAN/WAN, TCP/IP, DNS, VPNs, routing, switching, wireless networking, and firewalls.

· Identify architectural risks, infrastructure bottlenecks, and technical debt, and drive continuous improvements.

· Ensure technology decisions support scalability, reliability, security, maintainability, and long-term business requirements.

4. Cloud Computing & Server Administration

· Oversee cloud architecture and infrastructure management across platforms such as AWS, Microsoft Azure, or Google Cloud Platform.

· Guide server provisioning, administration, configuration, monitoring, troubleshooting, and performance optimization.

· Drive cloud cost optimization, resource utilization, infrastructure automation, and operational efficiency.

· Establish best practices for access management, secrets management, logging, monitoring, backups, and secure deployments.

· Guide the adoption of cloud-native architectures, containerization, infrastructure-as-code, and automated infrastructure management.

5. Backend Engineering & Application Development

· Provide technical leadership across backend development, particularly Python, FastAPI, API architecture, and system integrations.

· Guide the design and implementation of APIs, microservices, databases, and application components.

· Establish engineering standards for code quality, testing, code reviews, CI/CD, and software development lifecycle management.

· Oversee application performance, scalability, maintainability, and integration across product modules.





· Support the team in resolving complex technical challenges and making informed architectural decisions.

· Ensure AI capabilities are incorporated into application architecture wherever they create meaningful product or operational value.

6. Product Engineering & Industry Expertise

· Leverage experience gained within a Phishing Simulation, Human Risk Management, or Cybersecurity company to shape SimuPhish's technology strategy and product capabilities.

· Guide the technical design and development of advanced capabilities such as AI-powered vishing, voice cloning, ransomware simulations, deepfake videos, and other simulation technologies.

· Ensure product environments and simulation workflows are designed with appropriate security controls, isolation, scalability, and reliability.

· Partner with Product and Business stakeholders to translate market needs and product concepts into technical solutions.

· Identify opportunities for product differentiation through AI, automation, integrations, infrastructure improvements, and emerging technologies.

· Maintain a forward-looking technology vision that supports evolving customer requirements and market opportunities.

7. Engineering Delivery & Operational Excellence

· Establish effective engineering workflows, development practices, release processes, and delivery governance.

· Drive planning, estimation, prioritization, and execution to ensure predictable delivery of product and technology milestones.

· Monitor engineering performance through relevant KPIs covering delivery efficiency, system reliability, code quality, automation, and AI adoption.

· Identify process inefficiencies and implement improvements to accelerate development without compromising quality.

· Oversee technical risk management, incident resolution, root-cause analysis, and preventive actions.

· Keep senior leadership informed about technology progress, delivery risks, resource requirements, infrastructure needs, and innovation opportunities.

Required Qualifications & Experience

· Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field (*min. 5 years experience required).

· Significant experience in technology and engineering, with demonstrated progression into technical leadership or management responsibilities.

· Prior experience working in a Phishing Simulation, Human Risk Management, or Cybersecurity company.

· Experience building, scaling, or managing SaaS products and AI-enabled technology solutions.

· Practical experience implementing AI capabilities, including LLMs, AI agents, RAG pipelines, vector databases, or comparable AI application architectures.

· Experience establishing technical roadmaps, engineering processes, delivery standards, and measurable performance metrics.

· Experience guiding technical teams through architecture decisions, complex implementations, and product delivery.

· Relevant cloud, networking, or cybersecurity certifications would be an advantage.

📌 AVP - Tech (India)
🏢 simUphish
📍 India