GinkGo Participation II, S.A.

Role Summary auxi.ai is seeking a highly skilled and driven Software Engineering Manager to lead and grow our engineering team. This is a high-impact leadership role reporting directly to the CEO, working in close partnership with our Product Manager to shape and execute our technical roadmap. You will be responsible for managing a blended US-based and international engineering team, setting coding standards, owning delivery, and ensuring our systems run efficiently and reliably. The ideal candidate thrives in a fast-paced startup environment, has hands-on experience with modern cloud and AI technologies, and is passionate about adopting the latest innovations to keep auxi.ai at the cutting edge. Reports To: Chief Executive Officer (CEO) Team Scope: US-Based & International Location: Lebanon Responsibilities - Lead, mentor, and manage a distributed engineering team across US and international time zones, fostering a culture of collaboration, accountability, and continuous improvement. - Partner closely with the CEO and Product Manager to translate business goals into clear, executable technical plans and sprint deliverables. - Own the full software development lifecycle — from planning and architecture to deployment and post-launch optimization. - Define and enforce coding standards, best practices, and architectural guidelines across the team to ensure high-quality, maintainable code. - Plan and manage sprint cycles using JIRA, coordinating task allocation, tracking progress, and removing blockers to keep delivery on schedule. - Oversee the team's use of GitHub for version control, code reviews, and CI/CD workflows, ensuring clean branching strategies and robust review processes. - Ensure all production systems are performant, reliable, and resource-efficient — actively monitoring and optimizing for cost, speed, and scalability. - Lead and contribute to the development, fine-tuning, and deployment of Generative AI models, working hands-on with LLMs and ML pipelines. - Continuously evaluate and adopt emerging technologies, frameworks, and AI advancements to keep auxi.ai's platform modern and competitive. - Coordinate cross-functional dependencies between engineering, product, and business stakeholders to ensure smooth execution. - Drive a culture of technical excellence, knowledge sharing, and innovation within the engineering organization. Required Qualifications - 7+ years of software engineering experience, with at least 3 years in an engineering management or tech lead role. - Proven experience working in fast-paced, high-growth startup/tech or B2B SaaS environments. - Strong proficiency in C# / .NET and Python; ability to review code and provide meaningful technical guidance in both languages. - Hands-on experience with cloud platforms — Microsoft Azure or AWS (or both); familiarity with cloud-native architectures, services, and cost optimization. - Experience with Generative AI, including working with LLMs, model training, fine-tuning, and deploying AI-powered features in production. - Demonstrated ability to manage and lead distributed, international teams effectively across time zones and cultures. - Expertise in Agile/Scrum methodologies; hands-on experience managing sprints and backlogs in JIRA. - Strong command of GitHub workflows including branching strategies, pull request reviews, and CI/CD pipeline management. - Track record of building and maintaining highly performant, resource-efficient production systems. - A proactive mindset toward technology adoption — you stay current with the latest tools, frameworks, and AI research and bring those insights to the team. - Exceptional communication and stakeholder management skills; able to translate technical concepts to non-technical leadership. Nice to Have - Experience with MLOps platforms and AI/ML deployment pipelines. - Familiarity with vector databases, RAG architectures, or AI agent frameworks. - Prior experience working directly with a CEO or C-suite in a startup setting. - Background in SaaS product development. What we Offer: - Base salary of $5,000, plus a strong performance-based bonus component on top. - Direct impact — report to the CEO and shape the company's technical direction. - Health benefits. - Professional development budget and access to the latest AI tools and research. - A collaborative, mission-driven team that moves fast and builds things that matter. #LI-DNI

You Will - Own and grow a named territory (net-new + expansion + retention) with clear accountability to pipeline, forecast, and revenue. - Run a disciplined two-quarter cadence: execute cleanly in-quarter while consistently building next-quarter pipeline. - Lead the full sales cycle on $50K+ ACV deals — prospect → qualify → discover → multi-thread → negotiate → close. - Sell through business outcomes — build ROI narratives and tie value to measurable impact. - Multi-thread effectively — map buying groups, develop champions, engage decision-makers early. - Maintain clean pipeline hygiene and accurate forecasting. - Partner cross-functionally (SDR, Marketing, Product) to accelerate deals. - Apply structured qualification (BANT minimum, MEDDPICC or similar ideal) to reduce risk and drive predictability. You Have - 2–3 years of full-cycle SaaS closing experience. - A track record of consistently meeting or exceeding quota. - Demonstrated success closing $50K+ ACV, multi-stakeholder deals. - A repeatable outbound motion — you don’t rely solely on inbound. - Experience navigating procurement and basic legal processes. - Strong discovery skills and the ability to connect product to business outcomes. - Discipline in pipeline management, forecasting, and deal execution. - Ownership mentality — you treat your territory like your business. Bonus - Based in Boston, MA (or at least ET) - Experience expanding accounts post-close. - Success building pipeline in lightly covered territories. - Clear articulation of your sales process and qualification framework. - Data-driven approach to improvement (conversion rates, coverage, velocity). - High standards, coachability, and low ego.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We’re looking for a detail-oriented and proactive QA & Operations Specialist to strengthen our quality processes and help scale our testing operations across teams. - Coordinate testing efforts across multiple projects and squads - Act as the QA point-of-contact for product managers, developers, and other stakeholders - Create and maintain reusable testing documentation and workflows - Facilitate bug triage meetings and help prioritize QA focus areas - Support QA strategy implementation and process rollouts - Mentor junior and mid-level QA analysts and provide peer reviews and training sessions - Help bridge gaps between manual QA and automation efforts - Monitor QA metrics and provide insights to improve product quality and team efficiency - Collaborate with operations teams to streamline processes and ensure smooth releases Qualifications - 5+ years of experience in QA, software testing, or quality operations - Strong understanding of manual testing methodologies and QA best practices - Experience working in agile environments across multiple squads - Ability to manage priorities across parallel projects - Familiarity with bug tracking and test management tools - Strong communication skills and ability to work cross-functionally - Experience mentoring or supporting junior team members - Exposure to test automation concepts and collaboration with automation engineers - Detail-oriented mindset with strong analytical and problem-solving skills