United States-based applicants preferred.

(OPT with 7+ years advanced experience may apply.)

Role: Cofounder + SVP of Engineering & Architecture – AI / SaaS

Please Note:

This is a hands-on, high-impact technical leadership role for an experienced engineering executive with deep SaaS, AI, and data platform expertise. The right candidate will actively code every day, lead by example, and stay directly involved in improving system architecture, integrations, scalability, security, and code quality.

This is NOT a pure management or “strategy-only” role.

It is a sleeves-rolled-up technical leadership position where you’ll drive SQOR.ai’s architecture, performance improvements, DevOps, data pipelines, and team performance, while collaborating directly with the CTO, CEO, and leadership team.

About SQOR.ai

SQOR.ai is the only plug-and-play AI platform that autonomously transforms all data sources into real-time, actionable intelligence. Designed for business leaders, investors, and consultants, SQOR.ai makes AI-driven decision intelligence effortless—no data teams, no infrastructure, no manual analytics.

With over 500+ KPIs monitored and 60+ AI agents, SQOR.ai delivers causal insights, predictions, and real-time monitoring across sales, marketing, finance, customer success, operations, and product development.

Our mission is to democratize access to decision intelligence—empowering all businesses to compete on a level playing field by unlocking insights without complexity, cost, or barriers.

Watch our product video here: [https://youtu.be/Aff-rX9W\_TE?si=EFEr68BfrohDvZMX](https://youtu.be/Aff-rX9W_TE?si=EFEr68BfrohDvZMX)

Role Overview

As the SVP of Engineering & Architecture, you will help lead the technical strategy, execution, and scaling of SQOR.ai’s platform. You will code daily, lead architecture, guide integrations, and ensure code quality, performance, scalability, and telemetry.

• You will be the right hand to the CTO in driving architecture improvements, scalability, and optimizing SQOR.ai’s no-code, cloud-native platform across GCP (primary).

• You will will help CTO mentor and lead a team of 12 senior developers, maximizing efficiencies, delivering clean, modular code, and ensuring strong system telemetry across the application.

• You will improve and evolve a well-built system, not build from scratch, focusing on continuous optimization and technical excellence.

The ideal candidate embraces cutting-edge AI tools, continuously pushes the boundaries of what AI can deliver, supports its infrastructural integration in a HANDS-ON way, and mentors the team to maximize productivity and supercharge capabilities across engineering.

Experience operationalizing modular AI architectures, agent-based systems, KPI computation pipelines, retrieval-augmented generation (RAG), semantic chunking, and predictive caching will make you especially valuable in driving SQOR.ai’s technical roadmap forward at speed.

Compensation

This role offers approximately 2% of the company in shares, joining a core team of 20 who are currently working full-time for equity. As we gain traction and close upcoming funding rounds, cash compensation will be introduced, with a timeline targeting Q3 2025 for the first phase of paid compensation.

Key Responsibilities

* Be the right hand to the CTO, driving architecture improvements, scalability, and optimizing the no-code, cloud-native platform on GCP

* Actively write code every day, leading by example on architecture, integration, performance, and code quality

* Lead and mentor a team of 12 senior developers, maximizing efficiencies, driving clean modular code, and maintaining telemetry across the platform

* Oversee DevOps/SRE using Kubernetes, Docker, Terraform, Helm, GitHub, GitLab, CI/CD pipelines

* Optimize and manage databases: MongoDB (DBA-level), SQL, BigQuery, Snowflake, Databricks, Redis, VectorDBs

* Improve and support existing integrations such as Firebase, legacy chat systems, and third-party services already in place

* Ensure security best practices, including encryption system design, SOC2, ISO 27001, GDPR, and accessibility compliance

* Build and maintain ETL/ELT pipelines, LLM integrations, agent-based frameworks, microservices

* Lead the implementation and optimization of modular system components, including MCP layers, KPI computation agents, query decomposers, predictive caches, RBAC frameworks, and observability layers

* Champion AI-assisted engineering workflows and integrate advanced AI tooling into daily development and operations

* Oversee pen testing, CISO-level governance, compliance, and risk management

* Drive hands-on integration improvements, troubleshooting, and full documentation of all systems and APIs

* Manage agile execution: Jira, sprint management, SLAs, roadmaps

* Collaborate cross-functionally with product, sales, and leadership to align technology with business strategy

Skills and Experience

* 10+ years in engineering leadership roles, ideally in SaaS, AI, or data platforms

* Deep expertise in multi-tenant SaaS architecture

* Cloud architecture expertise: GCP (primary), AWS, Azure

* DevOps mastery: Kubernetes, Docker, Terraform, Helm, CI/CD, GitHub, GitLab

* Database expertise: MongoDB (admin/DBA), SQL, BigQuery, Snowflake, Databricks, Redis, VectorDBs

* Security expertise: encryption system design, SOC2, ISO, GDPR, accessibility, compliance

* Strong understanding of agent-based architectures, KPI computation pipelines, semantic chunking, vector DBs, retrieval-augmented generation (RAG), predictive caching, observability, and RBAC

* Experience improving and evolving mature systems, not just greenfield development

* Engineering languages: Python, React.js, TypeScript, CSS

* QA/testing, telemetry, system health, observability

* Cybersecurity expertise: pen testing, CISO governance, compliance

* Agile delivery: Jira, sprint planning, SLA management

* Passion for integrating and maximizing AI tools within engineering workflows and mentoring teams to harness their full potential

* Bonus: prior CTO, Chief Architect, or VP Engineering experience

Why Join Us?

* Be part of an A-TEAM redefining AI-driven decision intelligence

* Lead architecture, execution, and innovation at a cutting-edge SaaS startup

* Collaborate closely with the CEO, CTO, and a top-tier leadership team

* Work remotely with full ownership and creative freedom to innovate

* Join a company poised for explosive growth and market leadership

* Help shape the future of SQOR.ai — and have fun doing it

If you’re a results-driven, deeply technical engineering leader who thrives on daily coding, system integration, and team leadership, we want to hear from you.

Industry

SaaS Data Infrastructure and Generative AI for BI Analytics