Senior Engineering Manager (Dublin, CA)

Ready to embark on a thrilling adventure and leave a lasting mark on the world? Join Articul8 and be part of a team that's revolutionizing the way we harness the power of Generative AI! 

We're not just another tech company - we're a band of rebels on a mission to defy mediocrity and push beyond the limits of what's possible. Our secret weapon? An unrelenting drive to excel and a commitment to creating exceptional AI products and services that blow minds. 

As a member of Articul8 AI, you'll be part of a tight-knit group that values collaboration, transparency, and trust. You'll own your work and hold yourself to the highest standards of quality and integrity while being supported by a team that's got your back. We celebrate individuality and foster a culture of continuous learning because we know that's where the magic happens. 

Here you'll get to tackle cutting-edge GenAI projects that challenge the status quo and empower the underdog. You'll collaborate with a dream team of pros who live and breathe their craft, and you'll be part of a movement dedicated to bridging education gaps and uplifting marginalized communities. 

But wait, there's more! Our perks and programs are designed to help you thrive, including: 

• Professional development opportunities that'll help you level up your skills. 

• Access to the latest technologies and tools because we're all about staying ahead of the curve. 

• Regular social events and team-building activities because we play hard, too. 

• A supportive and inclusive work environment where everyone feels like they belong.  

   

Job Description: 

As the Senior Engineering Manager at Articul8.AI, you'll be part of shaping Articul8.AI's global expansion, contributing to a dynamic and innovative team, leading and growing our talented engineering team focused on building cutting-edge enterprise GenAI platform and products. You'll guide the design, implementation, and optimization of our backend and frontend infrastructure. This role involves mentoring engineers, driving technical excellence, and ensuring alignment between development efforts and overall business goals.  

Role Responsibilities: 

• Team Leadership:  Recruit, mentor, and develop a high-performing engineering team. Foster a culture of collaboration, innovation, and continuous learning. 

• Technical Architecture Oversight:  Drive the overall architectural direction for the GenAI platform, ensuring scalability, maintainability, and alignment with business goals. Collaborate with global stakeholders for seamless integration. 

• Delivery Excellence:  Establish and manage agile development processes, project timelines, and quality standards. Balance innovation with timely execution. 

• Cross-functional collaboration:  Work closely with product management, data scientists, and global engineering teams to understand requirements, translate them into technical solutions, and manage dependencies. 

• Talent Development:  Conduct performance reviews, provide regular feedback, and identify opportunities for team members' growth and development. 

• Technical Problem Solving:  Participate in hands-on problem-solving with the team when needed, leveraging your deep technical expertise to guide solutions. 

Basic Requirements: 

• Education Experience: Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience. 

• Professional Experience: 5+ years of direct implementation experience. A proven track record as a technical leader in developing scalable, maintainable, and high-performance solutions. Direct involvement in the architecture, development, and deployment of reliable microservice-based applications.

• Leadership Experience: A minimum of 3 years of proven experience in leading and mentoring engineering teams, with a track record of managing projects successfully and delivering high-quality software on schedule. 

• Talent Development: Proven ability to attract, hire, and develop top engineering talent, fostering a culture of excellence and continuous improvement within the team. 

  Technical Requirements: 

• Backend and Full-Stack Development: Proficiency in backend and optionally full-stack development, ensuring robust and scalable web application development. 

• Frontend Technologies: Experience building production applications using frontend technologies, including HTML, CSS, JavaScript, and modern frameworks like React or Angular, enabling effective collaboration with frontend teams. 

• Cloud Computing Platforms: Deep knowledge of cloud computing platforms (AWS, GCP, Azure), containerization technologies (Kubernetes), and database systems (both SQL and NoSQL), ensuring the ability to architect and manage scalable, cloud-native applications. 

• Databases and Data tools: Product development experience using one or more data tools like BigQuery, Snowflake, or Databricks. Development experience using one or more database systems, including SQL and NoSQL databases such as PostgreSQL, MySQL, MongoDB, or Redis. 

• Experience building machine learning training pipelines or inference services in a production setting. Experience with distributed computing frameworks like Ray. Experience developing tools, libraries, and infrastructure for data preprocessing, model training, and deployment of LLMs in production environments. 

• Communication and Interpersonal Skills: Excellent communication, interpersonal, and conflict-resolution skills, crucial for leading teams, interfacing with stakeholders, and ensuring a collaborative team environment. 

• Problem-Solving Skills: Exceptional problem-solving capabilities and the ability to navigate complex project challenges, ensuring successful project outcomes. 

Additional Qualifications: 

• Startup Experience: Experience working in a fast-paced startup environment and with remote or global teams, demonstrating flexibility and the ability to thrive in a dynamic work setting. 

• Open-Source and GenAI Involvement: Prior involvement in open-source projects or communities, especially those related to Generative AI, showcasing a commitment to innovation and community engagement. 

• Advanced Technologies: Experience with vector databases (e.g., Faiss, Milvus, Weaviate) for similarity search and knowledge representation, indicating a familiarity with cutting-edge data management solutions. 

• AI/ML Infrastructure: Experience with MinIO or similar object storage solutions, particularly in the context of AI/ML model storage and retrieval, demonstrating an understanding of the infrastructure requirements for machine learning projects. 

Joining Articul8.AI offers you the opportunity to work on cutting-edge AI technologies, collaborate with a passionate team of experts, and contribute to the next wave of innovation in conversational AI. If you are enthusiastic about shaping the future of human-AI interaction, we invite you to apply and be part of our journey.