Director of Engineering, CommerceIQ
Artificial Intelligence
$250-300k
+ 20% annual bonus + Equity package provided as high potential pre-IPO stock options
5 days a week in office (Mountain View, CA)
Machine learning and automation platform
Be an early applicant
Machine learning and automation platform
501-1000 employees
Be an early applicant
$250-300k
+ 20% annual bonus + Equity package provided as high potential pre-IPO stock options
5 days a week in office (Mountain View, CA)
501-1000 employees
Company mission
CommerceIQ's mission is to empower brands to move from analog to algorithms.
Role
Who you are
- 8-10 years of experience in backend software engineering, with 2+ 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
What the job involves
- We're looking for an Engineering Leader with a Data Science / Machine Learning background to head the incubation of CommerceIQ’s next generation of AI-driven SaaS solutions
- The Head of AI Engineering 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 report directly to 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
- 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
Our take
CommerceIQ is an omnichannel eCommerce management platform that leverages machine learning, analytics and automation to increase user sales. By deriving and aggregating in-depth insights from sales, marketing, and competitor intelligence data, its software then generates recommendations and automates actions to fuel growth.
Having started out primarily on Amazon, where it’s now an Advertising Partner - partially due to CEO Guru Hariharan’s previous experience working for the online retail giant - the company has since expanded to cover Instacart, Target and Walmart. It has recorded exponential growth in recent years, with both revenue and customers doubling in 2021. Kellogg’s, Nestle, Colgate and Whirlpool are all customers, a fact which would have contributed to its impressive investment round in 2022.
Having now joined the Unicorn club, CommerceIQ is investing its 2022 capital into accelerating the development of its unified retail eCommerce management platform. With the worldwide eCommerce market projected to hit $80 trillion by 2030, and CommerceIQ's position as an aid for legacy companies rather than a disruptor, further success looks increasingly likely.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
43% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Mar 2022
$115m
SERIES D
Jun 2021
$60m
SERIES C
Total funding: $195.5m
Company benefits
- Learning & Development - Growth is important. That’s why we provide a dedicated learning budget to support your growth and development
- Competitive Pay - Come join our team and you’ll receive a generous benefit package that takes care of your family and you, including Medical, Vision, and Dental insurance, a 401K and more
- Equity - At CommerceIQ, you’ll have skin in the game with our equity awards. When we win, you win
- Unlimited PTO - We believe in creating an environment that helps you be your absolute best, whether it means taking a break to climb Mt. Rainier or pampering yourself on a cruise
- Work/Life Balance - Every last Friday of the month is off! We know there is a time to work and there is a time to leave work behind. At CommerceIQ, we offer flexible hours
Company HQ
Mountain View, CA
Leadership
Guru Hariharan
(Founder & CEO)Started out as a Researcher at IBM. Was Manager of Amazon Seller Services and Director and GM of Global Marketplace Experience at eBay.
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