
10,000+ employees
🤝 B2B
👥 B2C
💰 Post-IPO Secondary on 2023-03
B2B • B2C • Marketing
Stagwell is a digital-first marketing company built to drive results for some of the most ambitious B2C, B2B, and DTC brands across the globe. With over 13,000 specialists in more than 34 countries, Stagwell leverages culture-moving creativity and leading-edge technology to provide integrated marketing solutions. The company focuses on transforming marketing through digital strategies, performance insights, and compelling creative, aiming to redefine the modern marketing landscape and foster growth for its clients.
🔥 0 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

10,000+ employees
🤝 B2B
👥 B2C
💰 Post-IPO Secondary on 2023-03
B2B • B2C • Marketing
Stagwell is a digital-first marketing company built to drive results for some of the most ambitious B2C, B2B, and DTC brands across the globe. With over 13,000 specialists in more than 34 countries, Stagwell leverages culture-moving creativity and leading-edge technology to provide integrated marketing solutions. The company focuses on transforming marketing through digital strategies, performance insights, and compelling creative, aiming to redefine the modern marketing landscape and foster growth for its clients.
• Spearhead the development, deployment, and optimization of our Machine Learning models and Generative AI workflows • Act as the bridge between technical execution and executive vision • Lead the end-to-end lifecycle of ML and Generative AI models, including data structuring and implementation • Deploy and maintain sophisticated AI applications • Prepare decks and reports for leadership to translate complex technical milestones into clear business updates • Maintain and scale a Python-based backend, ensuring seamless integration with our Next.js frontend
• Extensive, hands-on experience developing and deploying applications powered by LLMs (e.g., GPT, Claude, or open-source equivalents) • Proven track record of taking ML models out of "notebook/experimentation" phases and into a live, scalable production environment • Experience overseeing the high-level strategy of a data science program • Formal data science training from a major university • Deep experience in Python-driven backend development • Familiarity with Google Cloud Platform tools • Experience managing the full Experiment, Deploy, Measure lifecycle • Proficiency in gathering, cleaning, and structuring data for specific AI use cases • Experience in a lead or senior role where you were responsible for delegating tasks and mentoring other engineers • Experience preparing slide decks and status reports for C-suite leadership
• Health insurance • 401(k) matching • Flexible work hours • Paid time off
Apply Now🔥 55 minutes ago
Applied AI Engineer at ShipBob leading the transition from manual workflows to autonomous operations. Architecting agentic systems for complex business logic execution in logistics.
🔥 5 hours ago
Machine Learning Engineer designing and operating AI platform components for Mozilla. Collaborating across teams to ensure efficient, secure, and scalable model deployment.
🔥 6 hours ago
Operations Coordinator managing AI workflows and architecting systems for embedded COOs at Outsource Access. Designing SOPs, tracking project momentum, and orchestrating growth and support.
🔥 6 hours ago
Senior AI Engineer with strong full-stack capabilities in AI agent frameworks and systems. Involved in designing, building, and maintaining AI solutions for client-facing projects.
🔥 16 hours ago
AI Architect in pre-sales role at HPE, architecting solutions for customer business outcomes. Collaborate with sales teams to drive customer engagement and solution implementation.
🇺🇸 United States – Remote
💵 $146k - $343k / year
⏰ Full Time
🟠 Senior
🔴 Lead
🤖 AI Engineer
🦅 H1B Visa Sponsor