Head of AI Engineering at CommerceIQ

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

31 Dec, 25

Salary

310000.0

Posted On

02 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Engineering, Machine Learning, Deep Learning, Reinforcement Learning, Backend Software Engineering, Model Training, Agentic Applications, Data Systems Design, ML Pipelines, Python, Java, Scala, C++, PyTorch, TensorFlow, Hugging Face, LangChain

Industry

Software Development

Description

Company Overview CommerceIQ’s AI-powered digital commerce platform is revolutionizing the way brands sell online. Our unified ecommerce management solutions empower brands to make smarter, faster decisions through insights that optimize the digital shelf, increase retail media ROI and fuel incremental sales across the world’s largest marketplaces. With a global network of more than 900 retailers, our end-to-end platform helps 2,200+ of the world’s leading brands streamline marketing, supply chain, and sales operations to profitably grow market share in more than 50 countries. Learn more at commerceiq.ai. The Role: We are seeking a Head of AI Engineering to lead the incubation of CommerceIQ’s next generation of AI-driven commerce solutions. This role is both hands-on and leadership-focused: you will act as a player-coach, directly shaping the technical architecture of our AI platform while building and mentoring a team of engineers. You will partner directly with our cofounders to design and deliver advanced AI and agentic applications that push the boundaries of what is possible in applied AI for commerce. You will be accountable for scaling AI systems from research through production, ensuring that they create measurable business impact for the world’s largest brands. This role is ideal for a technical leader who has both trained models and shipped them into production, built agentic applications, and has a deep understanding of machine learning systems at scale. Location / Travel: This is an onsite role based out of our Mountain View, CA headquarters. You will be expected to work onsite 5 days per week if hired. What You'll Do: Partner directly with the cofounders to set and execute the AI engineering strategy. Hire, lead, and mentor a founding AI engineering team within our incubation group, growing both technical depth and organizational capability. Act as a player-coach: contribute hands-on to architecture, model training, and backend engineering while scaling a team around you. Design and build scalable ML infrastructure to support model training, fine-tuning, deployment, and monitoring at production scale. Lead the development of agentic applications, including designing, training, and launching agents that operate in real-world customer environments. Establish best practices for data quality, labeling, and ML pipelines, enabling rapid experimentation and continuous improvement. Drive responsible AI development by ensuring reliability, ethics, safety, and performance in all models and agents shipped to production. Collaborate closely with product, data science, and business stakeholders to translate research breakthroughs into customer-facing features. Set engineering standards and build a culture of technical excellence, innovation, and accountability. What You'll Bring: 12+ years of experience in backend software engineering, with 5+ years leading AI/ML teams. Hands-on experience training AI/ML models, including foundation models, fine-tuned models, or specialized domain models. Proven experience building and deploying agentic applications, with deep knowledge of agent design patterns and orchestration. Strong track record of launching AI models and agents into production environments at scale. Advanced expertise in machine learning, deep learning, and reinforcement learning. Experience designing scalable data systems and pipelines for training and inference. Fluency in backend and ML-oriented programming languages such as Python, Java, Scala, or C++. Knowledge of modern ML toolkits and frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, Ray, etc.). Strong ability to balance hands-on technical depth with leadership, mentoring, and organizational building. Excellent communication and influencing skills, with experience working directly with senior executives or founders. Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field. Benefits & Perks: The typical base pay range for this role in Mountain View, CA is USD: $260,000 - $310,000/per year. This base pay range may be inclusive of several career levels at CommerceIQ and will be narrowed based on a number of factors including the candidate’s experience, qualifications, and location. Base salary is just one part of your total rewards package at CommerceIQ. You may also be eligible for long-term incentives, in the form of company stock options, as well as potential discretionary bonuses. You will also receive access to: Comprehensive medical, vision, and dental coverage A 401(k)-retirement plan Short & long-term disability insurance Life insurance Paid parental leave Monthly reimbursements for gym, phone, and internet 10+ paid company holidays in each calendar year, quarterly Global Recharge Fridays, and unlimited PTO Check out our LinkedIn page to learn more about what it’s like to work at CommerceIQ! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law.

Responsibilities

Lead the incubation of AI-driven commerce solutions and shape the technical architecture of the AI platform. Mentor and build a team of engineers while ensuring the scalability and business impact of AI systems.