AI & Software Engineering Senior Manager

Who You’ll Be Working With

At PMG, we’re redefining what’s possible in digital marketing through Alli, our cloud-based suite of AI-powered tools. Alli has helped deliver ads to over 1 billion consumers in 80+ countries, driving meaningful results for some of the world’s most recognized brands. As an AI & Software Engineering Manager, you’ll lead a team of talented engineers focused on solving complex challenges, developing AI-driven solutions, and shaping the technology stack that powers Alli’s Actions, Data, or Insights pillars.

As an AI & Software Engineering Senior Manager, you’ll lead a team of engineers, driving the development and delivery of mid-to-large-scale software products and engineering processes. This is an opportunity to influence the future of AI-powered marketing, drive real impact for our clients, and mentor engineers as they build groundbreaking solutions. You’ll collaborate closely with product managers, engineering leaders, and cross-functional teams to define the technical vision and balance innovation with business needs. If you’re passionate about AI, love tackling big challenges, and thrive in a fast-moving, supportive environment, this is the place for you.

We are looking for candidates who have experience working with the following technologies:

• AWS and/or GCP; 
• Docker and Terraform;
• JavaScript (NodeJS, React) and Python; 
• BigQuery, Snowflake, Postgres, Redis, MongoDB, Redshift;
• OpenAI, Bedrock, Vertex, LangChain;
• RESTFul APIs and WebSocket;
• Real-time streaming technologies like Kinesis, etc;
• Git/GitHub for version control;

What You’ll Be Doing

• Effectively implement and manage numerous data integrations via API and other common methods.
• Participate in the formulation and implementation of Alli’s Data group roadmap.
• Work closely with the Product Managers and Designers to create industry-transformative products and ship new components and features.
• Build complex & highly scalable technical solutions.
• Drive cutting-edge initiatives with a high industry-wide impact.
• Draft architectural decisions and ensure reliable and state-of-the-art products and systems.
• Contribute to code reviews; provide critical feedback to fellow developers and mentor junior engineers.
• Build with a world-class team of engineers, providing career development guidance and coaching to team members.
• Work in a team with flat hierarchies and short decision-making processes.
• Collaborate with cross-functional Data & Tech teams. 
• Work within a dynamic & international environment with agile methodologies and techniques.

What You Will Bring

• 6+ years experience working in a software engineering development team, working throughout the SDLC of a product
• 4+ years managing a team of 5-10 highly skilled developers using Agile development processes
• 3+ years of experience working with the MERN stack or transferable skill set
• 3+ years of experience within an AWS cloud environment, utilizing Redshift, Postgres, or similar technologies
• Experience in building and managing teams' building systems using automated testing, code review, clean code principles, and refactoring strategies
• Solid knowledge of building and using RESTful APIs
• A profound understanding of distributed system design principles;
• SOLID software engineering expertise (OOA/OOD, TDD, CI/CD);
• Strong adherence to and experience implementing agile values;
• Planning and guiding towards a multi-year product roadmap;
• Ability to continually motivate and inspire team productivity and success;
• Team-first, proactive approach to work with excellent communication skills.

Nice To Have Qualifications

• Hands-on experience or working interest in GenAI, Large Language Models, Big Data, OpenAI, Gemini, Bedrock, etc;
• Interest or familiarity working in the Digital Marketing industry;
• Experience with infrastructure as code tools like Terraform, Ansible, Chef, or Puppet;
• Experience with Docker or Kubernetes and can safely maneuver/setup configurations in those environments;
• Experienced with DDD;
• Bachelor's or Master's degree in Computer Science or Computer Engineering.