Engineering Manager - 16296

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EngineeringEngineering Manager

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Quick Summary

Overview

Engineering Manager / Technical Lead Location: Remote (Latin/South America) – Aligning with US Central Standard Time (CST) business hours Type: Full-time (50-60 hours per week) Positive Overview We are looking for an experienced Engineering Manager / Technical Lead to lead our 10 person…

Key Responsibilities

Team Leadership & Management a. Lead a High-Performing Team: Manage, mentor, and inspire a remote engineering team of ~8-10 people (including 6 full-stack Node/Angular developers, 1 QA, 2 AI/ML engineers, and 1 designer).

Technical Tools

angularchatgptjavascriptjiratypescriptagileci-cdcode-reviewproject-managementrest-apissaasstrategic-planningsystem-design

Location: Remote (Latin/South America) – Aligning with US Central Standard Time (CST) business hours
Type: Full-time (50-60 hours per week)

We are looking for an experienced Engineering Manager / Technical Lead to lead our 10 person software engineering team. In this role, you will drive the development of our AI-powered training platform by designing scalable architecture, managing the full development lifecycle, and guiding a talented team of full-stack engineers (Node.js/Angular), QA, AI specialists, and a designer. You’ll be responsible for assigning tasks and managing our Agile process (using JIRA), reviewing and merging code, and pushing the engineering team to deliver quality software at startup speed. As a hands-on leader, you will also contribute code yourself and set a high bar for technical excellence. Importantly, this role will champion an “AI-first” development culture – leveraging tools like Cursor and other AI coding assistants to boost the team’s productivity (our goal is to ship code 3x faster with AI!). This position reports directly to the Founder and Head of Product, and we need someone with a relentless work ethic, fluent English communication skills, and a passion for building something awesome and impactful from the ground up.

We are an AI-powered training and upskilling platform built for the modern workforce. We help companies transform existing documentation, policies, and product knowledge into structured, personalized learning paths in minutes — using just a file upload or prompt. Our platform auto-generates complete training programs with quizzes, progress tracking, SCORM export, and LMS integrations, making it easy for L&D teams, sales enablement managers, and HR leaders to onboard, upskill, and certify employees faster. We’re a fast-growing, founder-led SaaS startup with global ambitions, based in Austin, Texas.

Responsibilities

~4 min read

→Team Leadership & Management
a. Lead a High-Performing Team: Manage, mentor, and inspire a remote engineering team of ~8-10 people (including 6 full-stack Node/Angular developers, 1 QA, 2 AI/ML engineers, and 1 designer). Foster a collaborative and high-accountability team culture.
b. Agile Process & JIRA Management: Run Agile ceremonies (daily stand-ups, sprint planning, retrospectives) and oversee the JIRA board for task assignment and progress tracking. Ensure clear priorities, realistic timelines, and that the team stays focused and unblocked.
c. Performance & Growth: Set clear performance expectations and provide regular feedback. Coach team members in their careers and help recruit and onboard new engineers as we grow.
→Architectural Design & Technical Strategy
a. Own the Platform Architecture: Design and evolve the architecture of the Our platform, ensuring it is scalable, secure, and maintainable. Make high-level decisions on system design, database structures, integrations, and infrastructure to support a fast-growing SaaS product.
b. Full-Stack Technical Leadership: Provide expert guidance on our tech stack (Node.js backend, Angular frontend, TypeScript, etc.), as well as on integrating AI/ML services. Decide when to refactor, rebuild, or introduce new technologies to keep the platform robust and modern.
c. Technical Roadmap: Collaborate with the product team to align engineering priorities with business goals. Translate product requirements into an actionable technical roadmap and ensure the team understands the “why” behind what we’re building.
→Code Quality & Review
a. Establish Coding Best Practices: Implement and enforce coding standards, best practices, and development guidelines. Ensure use of version control and peer review on all code changes.
b. Rigorous Code Reviews: Review and merge pull requests daily, providing constructive feedback to improve code quality, security, and performance. Catch bugs and architectural issues early through thorough review.
c. Testing & QA Collaboration: Work closely with the QA engineer to implement comprehensive testing (unit, integration, end-to-end). Maintain a high bar for test coverage and quickly address any bugs or regressions. Champion continuous integration/continuous deployment (CI/CD) practices for smooth, frequent releases.
→Hands-On Development
a. Active Coding: Spend a significant portion of your time (e.g. 30-40%) writing and reviewing code. Tackle complex or critical pieces of the system yourself, whether it's a challenging backend feature, a complex front-end component in Angular, or an AI integration.
b. Problem Solving: Dive into debugging and problem-solving alongside your team. Whether it’s a performance bottleneck or a tricky integration issue, lead the charge in finding elegant solutions.
c. Lead by Example: Demonstrate high standards in code quality, documentation, and commit practices. Your technical contributions will set the tone for the rest of the team.
→AI-First Development Culture
a. Leverage AI Tools: Embrace and promote the use of AI-powered development tools (e.g. Cursor, GitHub Copilot, ChatGPT, etc.) in our workflow. Integrate these tools to assist with code generation, refactoring, and testing, aiming to improve development speed and efficiency significantly.
b. Mentor in AI Tool Usage: Train and encourage engineers to utilize AI assistants for 95%+ of coding tasks where applicable. Create best practices for how to pair program with AI, so the team can ship code up to 3x faster without sacrificing quality.
c. Innovate with AI: Stay on the lookout for new AI technologies and tools that could further accelerate our engineering work. Pilot new AI-driven processes (like automated code reviews or AI-based testing) and implement those that add value.
→Project Management & Delivery
a. Strategic Planning: Work with product and leadership to plan release cycles. Break down roadmap initiatives into actionable engineering plans with clear milestones.
b. On-Time Delivery: Take responsibility for delivering product features on schedule. Proactively identify risks or bottlenecks in advance and adjust plans or resources as needed to meet deadlines.
c. Deployment & DevOps Oversight: Oversee the deployment pipeline and cloud infrastructure (if applicable), ensuring reliable releases. Troubleshoot deployment issues and streamline our CI/CD processes for rapid, repeatable releases.
→Cross-Functional Collaboration
a. Product & Design Alignment: Collaborate closely with the Head of Product and designers to ensure technical feasibility of features and that engineering efforts align with user needs and product vision. Provide technical input during product planning and feature design.
b. Stakeholder Communication: Communicate project status, technical challenges, and team successes regularly to the Founder and other stakeholders. Translate complex technical topics into clear insights for non-technical team members or clients, as needed.
c. Customer-Focused Mindset: Keep the end-user experience and customer requirements in mind when making engineering decisions. Work with customer-facing teams (sales, support) if technical expertise is needed to solve client issues or tailor solutions.

Experience: 6+ years of professional software development experience, including at least 3 years in an engineering leadership role (Tech Lead, Team Lead, or Engineering Manager). You have led teams of ~5-10 engineers to deliver complex projects in a fast-paced environment.
Technical Expertise: Deep knowledge of Node.js (backend) and Angular (frontend) is required. You have a strong command of modern web development (TypeScript, RESTful APIs, databases, cloud services, etc.) and have designed or maintained scalable web application architectures.
Hands-On Leader: A leader who not only manages from the sidelines but also enjoys rolling up their sleeves. You are comfortable diving into the codebase to build features or fix bugs, and you excel at debugging and technical problem-solving.
Agile & Organized: Proven experience implementing Agile methodologies and using project management tools like JIRA (or similar). You can coordinate multiple work streams, manage sprint backlogs, and ensure the team consistently meets its commitments.
AI Enthusiast: Passionate about the potential of AI in software development. Ideally, you have experience with AI coding assistants (e.g. GitHub Copilot, Cursor, ChatGPT) or at least a strong enthusiasm to adopt and champion these tools. You believe in using technology to amplify productivity and are excited to lead an AI-first engineering culture.
Strong Communicator: Fluent in English (written and spoken) with excellent communication and interpersonal skills. You can effectively communicate with developers, cross-functional team members, and executive leadership. You’re adept at translating between technical and non-technical stakeholders and fostering a shared understanding.
Startup Mindset: Thrives in a startup/scale-up environment. Self-motivated, proactive, and adaptable to rapid changes. You have a relentless work ethic and are willing to put in the effort (50-60 hours weeks when needed) to achieve ambitious goals. You take ownership of challenges and see problems through to solutions.
Remote Collaboration: Experience managing or working with distributed teams. You’re based in Latin America (or a similar time zone) and can align your work schedule with U.S. Central Time business hours. You excel at using remote collaboration tools to keep the team connected and productive.
Education: A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field is preferred (or equivalent work experience). Continuous learning is in your DNA – you stay updated on new technologies, development practices, and industry trends.

If you are a driven engineering leader who loves building impactful products and pushing the boundaries of efficiency with AI tools, we’d love to hear from you.