DevOps Lead: 

Top consumer brands like Nestle, Kimberly Clark, Natures Bounty, Johnson & Johnson, Mondelez, Kellogg to name a few rely on CommerceIQ suite of products to make efficient business decisions on a daily basis. It is critical to have services which run high quality data and algorithms that drive business decisions for our customers in a timely manner. As a DevOps you are responsible for building scalable, extensible, secure infrastructure on cloud for CommerceIQ’s applications and data science teams. 

In this role, you will work with a couple of Infra/DevOps SDEs and partner with engineering managers to achieve CommerceIQ’s QoQ goals. As a DevOps lead, you will play a crucial role in upkeep security, cost, deployment infrastructure and maintain/develop services owned by Infra/DevOps team.

A successful candidate will be obsessed with technology and relentlessly raise the bar on the architecture, design and quality of code delivered while aggressively pursuing optimizations to meet cost and scale SLAs. The candidate should be capable of managing a fast-paced delivery schedule and influence and drive a high-level engineering strategy with the leadership, as well as take a hands-on approach to implementing that strategy.

Functional level Expectations

• You should possess advanced knowledge of AWS and other software design approaches to guide the DevOps team in designing infrastructure that caters to scale, concurrency. Preferably AWS certified.
• You should be able to work in situations where you can use your prior expertise and judgment to determine goals, identify constraints, and propose an actionable plan. 
• Your work is typically focused on working with multiple teams’ architecture and product solutions. 
• You should be able to lead the design and implementation that are extensible and scalable
• For continuous integration and deployment
• For multi cloud deployments
• For DR of various services with CiQ infrastructure
• You should be able to influence as a “team lead”, management decisions and priorities and actively mentor to create force multipliers
• You should drive teams to adhere to engineering best practices in SDLC like code coverage, acceptance testing, CI/CD and design patterns that ensure consistency and standardization of architecture
• You should proactively simplify code, identify bottlenecks and resolve team architecture deficiencies. 
• You should be able to work along with other SDEs on their team, build relationships with stakeholders including customers, product managers, cross functional partners and external partners and integrate for a cohesive launch. 

Required Skills

• At least 6-10 years of technology experience including 3+ years of working experience in cloud 
• Ideal candidate should have handled operations, deployment and security of multiple SaaS/B2C products
• Deep knowledge of Python, Cloud or GoLang and one of the public clouds
• Good knowledge of log collection designs like EFK and metric collection tools like newrelic, Prometheus/Grafana or SignalFx
• Good knowledge in design, creation and consumption of RESTful API, Micro service architectures on public clouds preferably AWS
• Excellent analytical, communication and coding skills is a must.
• Thorough orientation towards code reviews, coding/design standards and documentation
• Good knowledge in designing with messaging systems such as SQS, Kafka.
• Good knowledge in designing with ETL pipelines using AWS Step, Azkaban, Airflow
• Good knowledge of any big data engine like Spark would be an advantage.

Below is a brief description of the charter for Infra team (subject o product/business deliverables)

Prometheus / Grafana 

K8s metrics and deployment metrics

We use newrelic(NR) for log collection and operational metrics. But certain shortcomings and solved problems in Prometheus/Grafana might force us to move away from NR. Apart from the prometheus track, the lead will have to work with all. stakeholders [apps/DS] to migrate from OCD to K8s, with all balance and checks in place

EFK stack

Log collection and analysis is via newrelic and it’ll cost us as we move more applications to K8s. We need to optimise or explore options like EFK stack of logs or sumo logic etc 

Security audit

We need to be proactive and do frequent security audits of our applications. We need a security center with all our documentation. Place to store the docs/questionnaires we filled for our clients etc. 

BCP 

We need to audit all our services for disaster recovery and develop a BCP across the company.

CI/CD 

The lead is expected to enforce git branching and set code cov, style check guidelines across teams and projects. E.g Publishing the guidelines for Java project, NodeJS project, Python project. Establishing average code cov metrics, running static code analysis, findbug and other security code scanning tools

Infra services

The Infra team also has many services, especially crucial services like BSS (CSS) . These infra services should set the benchmark for DevOps best practices in the org. 

Azkaban

Azkaban is our ETL orchestrator. It's run in-house and has custom code deployed. Maintenance of Azkaban to match growth is needed. Exploration and guidance to use other orchestrators like airflow, step function, astronomer is also expected

AWS admin and access / SF admin and access / AWS/SF cost , unit cost for client

Constant efforts to identify and reduce costs

AWS partnership [case studies, blogs, trainings, tech conf talks]

Cost savings across all our infrastructure.

SOC2 and other compliance 

Automate our soc2 process with diligence. This is more important as we expand to other pillars of soc2 and ISO.

Company Overview

At CommerceIQ, we help consumer brands accelerate their retail ecommerce market share growth and profitability through machine learning algorithms. We are building the world’s most complete and sophisticated Retail Ecommerce Management Platform, which connects and intelligently automates the management of retail ecommerce channels like Amazon, Walmart, and Instacart, across the entire ecommerce operational chain of retail media management, sales operations, supply chain, and digital self analytics.

We are in hyper growth mode, having recently raised our Series D funding at unicorn valuation (>$1B) and ended our third year of triple-digit revenue growth. Continued acceleration of our growth is fueled by landing new customers, expanding our platform through new products, managing new retail ecommerce platforms, and delivering exceptional customer service to unlock high net retention rates.

What You’ll Be Doing

As a Lead ML Engineer in the Data Science team, you will work closely with the engineering, product, and operations teams to build state-of- the-art ML based solutions for B2B SaaS products. This will entail applying advanced ML algorithms at scale for core products and developing robust end to end production pipelines which includes Human-in-the-Loop component to boost the quality. 

In this role, you will find innovative ways to apply emerging technologies to improve business processes and drive more value for customers. The ideal candidate will have a strong background in machine learning model development, natural language processing and understanding, and data analysis which they can utilize to manage and improve our company’s AI/ML initiatives. 

• Architect and Own multiple AI driven end to end pipelines that allows for deployment and scalability of machine learning models
• Build tools and capabilities that help with data ingestion to feature engineering, data management and organization
• Build tools and capabilities for scalability through distributed optimization 
• Deploy  cutting edge algorithms like LLMs etc. on GPUs at scale
• Work with stakeholders on the research and software engineering side of the company to understand how to support their teams
• Build tools and capabilities for model management and model performance monitoring
• Build operating services at scale with high availability and reliability
• Propose and implement the best engineering practices for scaling ML-powered features, with a goal to enable the fast iteration of and efficient experimentation with novel features
• Contribute and influence the ML infrastructure roadmap in collaboration with Data Science team

What we are looking for -

• Bachelor’s or Masters in Computer Science or Maths/Stats from a reputed college with 5+ years of experience in solving of experience in machine learning engineering problems 
• Experience and understanding of the entire machine learning pipeline from data ingestion to production
• Experience with machine learning operations, software engineering, and architecture
• Experience with large-scale systems including parallel computing and GPUs
• Experience architecting and building an AI pipelines that supports productionization of ML models
• Experience with MLOps systems
• Strong programming skills in a scientific computing language such as Python, SQL
• Experience using frameworks for machine learning and data science like scikit-learn, pandas, NumPy
• Experience working with ML tools such as Tensorflow, Keras, and Pytorch
• Ability to take successful, complex research ideas from experimentation to production
• Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams
• Good depth and breadth in machine learning (theory and practice), optimization methods, data mining, statistics and linear algebra

Why you will love to work with us -

We have multiple brands, which are among the biggest brands operating on amazon, as our customers. You will be responsible for working with their data and developing models and algorithms to drive lift in tune of hundreds of thousands of dollars.

• Opportunity to work on cutting edge technologies in text and images data like LLMs, OCR, transformer based embeddings models
• Deploy code using the most sophisticated tech stack like AWS, GCP etc.
• You will own projects end to end i.e., from exploration to final production
• You will be empowered to make decisions. It implies more responsibilities but high learning
• Immense opportunities to learn and develop ML based SaaS products for brands and get company-wide recognition
• Forget endless meetings. Get things done and start making an impact from day 1
• Work hard, have amazing fun, create history, build the future of eCommerce 
• Start-up environment with a strong culture and values to accelerate your career 

The Role:

The e.fundamentals Digital Shelf Analytics platform gathers almost 4 million web pages per day from around 500 retailers worldwide. Gathering data on such a massive scale demands specialised tools for scheduling and reviewing thousands of individual tasks.

The Scheduling team is responsible for devising, building and supporting these tools. The team creates applications and services that enable our internal users to manage tasks safely and efficiently at scale. We’re looking for an experienced senior Software Engineer to lead the team as we develop a brand new iteration of our scheduling system to meet the demands of our rapidly growing customer-base.

What You'll Do:

• You will be responsible for the design, coding, documenting, and maintaining high-end computation platform development.
• You will own the architecture and design of some of the most advanced & complex software systems/products in the industry to create a company-wide impact
• You will be involved in continuously upgrading and building new technology skills and methodologies.
• You will be responsible for innovating, researching, proposing, and discussing the design with your peers.
• You must have the ability to take ownership of Modules delivery and lead a team.
• You will be a key member of the hiring panel across CIQ.
• You will be the gatekeeper of the tech decisions of the team and contribute heavily to the tech strategy, working closely with product and design teams.

• 5+ Years in developing in designing and developing complex and scalable software modules.
• The ideal candidate will be an experienced Java developer with exceptional software system design, problem-solving, and object-oriented coding skills.
• Good hands-on experience in data engineering - ETL pipelines, batch, and streaming data processing (Hadoop, Spark, Storm, Kafka, presto, etc), data analytics & reporting - prior experience with optimizing for storage space, compute time, etc
• Strong expertise in concurrency constructs and debugging memory leaks, expert-level skills in object-oriented, low-level class/interface designs.
• Hands-on experience with building high-performance, highly available, and scalable distributed systems, scaling and evolving them.
• Hands-on experience with one of the key cloud providers (AWS, GCP, Azure) for the creation and scaling of large-scale distributed systems (compute, messaging, notifications, caching, data stores, monitoring, CI/CD, etc).
• Exposure to multiple kinds of data storage and retrieval strategies - Relational, Non-relational, Document, Graph, Object, Time Series databases.
• BS or MS in Computer Science/Engineering, Mathematics, Statistics, or a similar degree will be considered

DevOps Lead: 

Top consumer brands like Nestle, Kimberly Clark, Natures Bounty, Johnson & Johnson, Mondelez, Kellogg to name a few rely on CommerceIQ suite of products to make efficient business decisions on a daily basis. It is critical to have services which run high quality data and algorithms that drive business decisions for our customers in a timely manner. As a DevOps you are responsible for building scalable, extensible, secure infrastructure on cloud for CommerceIQ’s applications and data science teams. 

In this role, you will work with a couple of Infra/DevOps SDEs and partner with engineering managers to achieve CommerceIQ’s QoQ goals. As a DevOps lead, you will play a crucial role in upkeep security, cost, deployment infrastructure and maintain/develop services owned by Infra/DevOps team.

A successful candidate will be obsessed with technology and relentlessly raise the bar on the architecture, design and quality of code delivered while aggressively pursuing optimizations to meet cost and scale SLAs. The candidate should be capable of managing a fast-paced delivery schedule and influence and drive a high-level engineering strategy with the leadership, as well as take a hands-on approach to implementing that strategy.

Functional level Expectations

• You should possess advanced knowledge of AWS and other software design approaches to guide the DevOps team in designing infrastructure that caters to scale, concurrency. Preferably AWS certified.
• You should be able to work in situations where you can use your prior expertise and judgment to determine goals, identify constraints, and propose an actionable plan. 
• Your work is typically focused on working with multiple teams’ architecture and product solutions. 
• You should be able to lead the design and implementation that are extensible and scalable
• For continuous integration and deployment
• For multi cloud deployments
• For DR of various services with CiQ infrastructure
• You should be able to influence as a “team lead”, management decisions and priorities and actively mentor to create force multipliers
• You should drive teams to adhere to engineering best practices in SDLC like code coverage, acceptance testing, CI/CD and design patterns that ensure consistency and standardization of architecture
• You should proactively simplify code, identify bottlenecks and resolve team architecture deficiencies. 
• You should be able to work along with other SDEs on their team, build relationships with stakeholders including customers, product managers, cross functional partners and external partners and integrate for a cohesive launch. 

Required Skills

• At least 6-8 years of technology experience including 3+ years of working experience in cloud 
• Ideal candidate should have handled operations, deployment and security of multiple SaaS/B2C products
• Deep knowledge of Python, Cloud or GoLang and one of the public clouds
• Good knowledge of log collection designs like EFK and metric collection tools like newrelic, Prometheus/Grafana or SignalFx
• Good knowledge in design, creation and consumption of RESTful API, Micro service architectures on public clouds preferably AWS
• Excellent analytical, communication and coding skills is a must.
• Thorough orientation towards code reviews, coding/design standards and documentation
• Good knowledge in designing with messaging systems such as SQS, Kafka.
• Good knowledge in designing with ETL pipelines using AWS Step, Azkaban, Airflow
• Good knowledge of any big data engine like Spark would be an advantage.

The Problem:

We have thousands of enterprise users, proven product-market fit across digital shelf analytics, retail media, and sales operations, and the Fortune 100 running on our platform. That part works. Now we are building something new: autonomous AI agents that are already in customer hands and scaling fast. This is a 0-to-1 build inside a company that has the distribution, the data, and the customers to make it real.

The AI Labs team operates as a startup within the company. It needs its own engineering leader. Someone who can recruit a world-class team in Mountain View, set the technical direction for agentic AI in commerce, and ship at a pace that matches the opportunity. We have engineering teams across the US, India, Canada, and the UK. Mountain View is the center of gravity for AI leadership.

This role reports directly to the Founders. We ship with Claude, GPT-4, and open-source models in production. Our engineers already write the majority of code with AI. Some things are great. Some things need to be rebuilt. The next leader will know the difference.

What You'll Do:

• Build the Future of Commerce AI

  • Architect and evolve the platform for the agentic era. The technical foundation needs to support agents that operate autonomously across content, media, and sales. You will decide what gets built, how it gets built, and what gets thrown away.
  • Push the frontier on AI-assisted development. We already lead most companies in AI code contribution. Claude Code, Cursor, and the next generation of agentic dev workflows should be standard across the org. As a startup, we should be ahead of everyone else on this.
  • Ship AI agents into production with speed and reliability. Our agents are already in Fortune 100 workflows and scaling fast. Engineering needs to deliver new capabilities on a weekly cadence.
  • Be the technical face of the company externally. Our AI Brand positioning depends on engineering leaders who can speak credibly about what we are building. Conference talks, blog posts, recruiting events.

  Build the Team

  • Recruit and retain world-class engineering talent, starting with Mountain View. You will be measured on the quality of people you bring in and the quality of people you develop.
  • Build a strong engineering leadership bench. We need senior leaders who can independently own large surface areas and represent engineering with authority across the company.
  • Create an environment where the best engineers want to stay, grow, and recruit their friends. Every hire should raise the average.

  Own Engineering Execution

  • Own product quality, infrastructure efficiency, and engineering velocity. You set the metrics, you hit them.
  • Drive continuous improvement in margins and cost structure. We have already made dramatic improvements in infra costs and product reliability. You will own the next chapter.

What You'll Bring:

This is not a caretaker role. We need a builder. Here is what matters:

• You have built and scaled engineering teams. You have taken a team from good to great. You know how to hire senior talent, develop middle managers, and create a culture where A-players attract more A-players. Ideally you have done this at a pre-IPO company scaling through a similar inflection point.
• You are technical and hands-on. You can go deep on architecture discussions, review technical designs, and earn the respect of senior engineers. You do not need to write code every day, but you need to be able to tell when code is good and when it is not.
• You are AI-native. You personally use AI development tools. You have opinions about LLM orchestration, agent architectures, and how AI changes the software development lifecycle. You are excited about a world where AI writes most of the code and engineers focus on architecture, judgment, and customer impact.
• You operate with urgency. Startup pace. Weekly shipping cadence. You do not tolerate multi-month planning cycles for things that should take days. You bias for action and course-correct fast.
• You are a talent magnet. The best engineers you have worked with want to work with you again. You have a network of strong technical leaders you can bring in. You know the difference between hiring for pedigree and hiring for signal.
• You want to be in the room. This is an onsite role in Mountain View. You will work closely with the Founders, product, and customer success. Our best decisions happen face-to-face.

Compensation and Benefits: 

Base: Competitive with top-tier Silicon Valley companies. Commensurate with experience.

Equity: Significant pre-IPO stock options. This is a leadership seat and the equity reflects that. We are at a stage where senior hires still get meaningful ownership.

Benefits: Full medical, dental, vision. 401(k). Unlimited PTO.

Location: Mountain View, CA. Onsite. 15 minutes from Stanford campus.

Why Join Now:

• The window is now. The company has product-market fit, revenue, and customers. The AI Labs team is being built right now. In 12 months this team will be set. The founding members will define the culture, the architecture, and the trajectory. This is that moment.
• Real AI, not AI theater. Most companies are bolting AI onto legacy products and calling it innovation. We are rebuilding the entire platform around autonomous agents. Our agents are already in production, already in customer workflows, already making decisions. If you want to lead a team doing real AI, this is it.
• Fortune 100 scale. Your decisions will directly affect how 2,200+ brands run their ecommerce. The Fortune 100 uses our platform to manage billions of dollars in commerce. This is not a sandbox.

Equity upside. Pre-IPO. $200M+ raised from tier-one investors. The economics of joining at this stage, in this role, are compelling.

Check out our LinkedIn page to learn more about what it’s like to work at CommerceIQ!

The Role:

The e.fundamentals Digital Shelf Analytics platform gathers almost 4 million web pages per day from around 500 retailers worldwide. Gathering data on such a massive scale demands specialised tools for scheduling and reviewing thousands of individual tasks.

The Scheduling team is responsible for devising, building and supporting these tools. The team creates applications and services that enable our internal users to manage tasks safely and efficiently at scale. We’re looking for an experienced senior Software Engineer to lead the team as we develop a brand new iteration of our scheduling system to meet the demands of our rapidly growing customer-base.

What You'll Do:

• Lead a team of talented engineers, empowering them to deliver a flexible and highly-scalable scheduling system
• Take responsibility for the health and success of the team; maintain and foster a positive and collaborative culture
• Balance hands-on development alongside team leadership responsibilities
• Participate in critical technical and strategic discussions with stakeholders across the product engineering organisation. Help define and maintain a vision and roadmap for the team
• Be responsible for all aspects of the team’s delivery and development cycle; leading and championing agile processes, and driving continuous improvement
• Collaborate with senior engineers to define a target architecture for the system and identify a route towards its delivery
• Champion the work of the team; ensure its successes are celebrated
• Be an advocate for the individuals within the team. Guide them in their personal development, and help them to grow and maximise their opportunities within CommerceIQ
• Participate in engineering and architecture forums to help build a culture of excellence within the engineering organisation

What You'll Bring:

• Extensive experience of using JavaScript, React and Node to build rich applications and supporting back-end APIs
• A track record of building full-stack products at scale
• A background leading other engineers
• Significant experience working with Linux/Unix
• A strong understanding of web technologies: HTML, DOM, HTTP, and CSS
• A strong understanding of modern coding practices and standards
• Great interpersonal and communications skills
• A passion for delivering quality software

Nice to Haves: 

• Experience with TypeScript
• Experience of building services in the cloud, especially with Google Cloud Platform
• Experience of containerisation using Docker and Kubernetes
• Experience of building infrastructure as code, especially with Terraform
• Knowledge of web-scraping and its challenges
• Data analysis and SQL skills

The Role:

We’re looking for a Software Engineer to join our Mountain View team. This is a hands-on role where you’ll work alongside talented senior engineers, product managers, and data scientists to design, build, and deliver AI-powered commerce solutions.

Why this role matters

• Career growth: Gain experience with AI development in a real-world production environment
• High-impact work: Contribute to new AI-driven products that directly affect global brands
• Learning from the best: Work alongside experienced engineers and collaborate with a global, high-performing team

This is an onsite role with expectations that you are working from the office Monday-Friday

What You'll Do:

• Collaborate across functions: Build on a variety of use cases across the company
• Partner with executives: Get a full perspective from the Founders and CEO’s desk
• Grow technical skills: Participate in design reviews, write high-quality code, and gain experience with best practices in testing, security, and scalability
• Deliver impactful work: Ship features that are quickly adopted by customers and directly improve their ecommerce performance

What You'll Bring:

• 2-5 years of hands-on software engineering experience (internships and co-op work will be considered)
• A Bachelor's degree in Computer Science from a highly ranked university is a must have
• Proficiency in Java or Python
• Experience working with AI tools such as Claude
• Some experience building backend or full-stack applications, either in professional settings or personal projects (we especially love to see any contributions that you have on Github or Stackoverflow)
• Familiarity with cloud services (AWS/GCP/Azure), microservices, and modern development practices like CI/CD is helpful
• Strong problem-solving skills, eagerness to learn, and comfort working in a collaborative, fast-paced environment

Compensation and Benefits: 

The typical base pay range for this role across the US is: $140,000 - $170,000/per year. In addition to salary, there is an equity package provided as high potential pre-IPO stock options.

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 and unlimited PTO

Check out our LinkedIn page to learn more about what it’s like to work at CommerceIQ!

The Role:

As a Forward Deployed Engineer, you will partner closely with our founders and the AI Product Managers to prototype and deploy AI‑driven solutions that solve our customers’ most pressing problems. This is a founding engineering role with high visibility; you will report directly to our Head of AI Strategy and Outcomes. You will also partner with other members of the executive leadership team who are based at our Mountain View HQ, collaborate with our Bangalore‑based engineering team, and engage daily with enterprise customers. You will help define how we work with our most important customers, shape the company’s first ever forward deployed engineering function, and contribute to our mission of helping brands win in AI‑driven e-commerce.

Location / Travel:

This position is on-site in Mountain View, CA with approximately 50% travel expected to client locations.

What You'll Do:

• Build prototypes with customers: Work alongside our AI Product Manager to understand real‑world problems, rapidly scope use cases and create working prototypes. You’ll engage in hands-on discovery and convert insights into functional demos for prospective and existing customers.
• Integrate data and create new AI agents: Ingest data from disparate sources (ERPs, ecommerce platforms, custom APIs) and build agents that solve the specific use cases uncovered during discovery. This includes turning edge‑case business rules into runtime‑editable settings rather than hard‑coded logic.
• Own AI outcomes: Lead customer‑facing demonstrations and proof‑of‑concepts. You’ll instrument and tune models using production feedback loops to ensure prototypes deliver measurable outcomes.
• Rapidly iterate & generalize: Collaborate with engineering teams in Bangalore to transform prototypes into robust features. Your work will be implemented into our core product - patterns that succeed in one deployment (custom adapters, monitoring dashboards) should be packaged as reusable modules.
• Own the full lifecycle: Support engagements from pre‑sales scoping through post‑deployment refinement. You’ll help to negotiate scope, push back on unreasonable asks, and ensure long‑term customer success. Additionally, you’ll act as the technical liaison between customers, product managers, and engineering.
• Cultivate customer relationships: Develop deep empathy for our customers’ business drivers and serve as their advocate. Use clear, engaging communication to convey technical concepts to non‑technical stakeholders, build trust and handle high‑stakes conversations.

What You'll Bring: 

• Experienced engineer (4-6 years or more) with a strong foundation in software development (coding, problem solving and debugging).
  • Comfortable coding in Python or Java and learning new technologies quickly.
• Full‑stack & data integration skills. Experience connecting to APIs, working with SQL/NoSQL databases, streaming/ETL pipelines and deploying AI/LLM‑based agents.
• Customer‑facing problem solver. You enjoy working directly with external users, conducting discovery, and translating ambiguous requirements into working solutions. You have excellent communication skills and the ability to simplify complex technical topics.
• Rapid prototyper. You are biased towards action and are comfortable delivering minimal‑viable solutions, collecting feedback and iterating quickly.
• Collaborative & global. You’re effective working across time zones with leadership in California and engineering in Bangalore. You embrace CommerceIQ’s leadership principles of ownership, deep diving into details, getting stuff done, thinking from first principles and winning as a team.
• Independent & adaptable. You thrive in ambiguity, can manage your own backlog and priorities, and are motivated by the opportunity to create a new function.
• Bachelor's degree, in Computer Science, Mathematics, or a related field

Nice to Haves:

• Prior experience in a forward‑deployed, solutions engineering, technical product management or customer implementation role. Candidates coming from companies known for forward‑deployed engineering (e.g., Palantir, Scale AI, Ramp, Postman etc.) are strongly encouraged to apply.
• Familiarity with e-commerce, retail, supply‑chain or ad‑tech data.
• Exposure to large‑language‑model applications (fine‑tuning, prompt engineering, building retrieval‑augmented generation workflows).

Compensation and Benefits: 

The typical base pay range for this role across the US is: $140,000 - $170,000/per year. In addition to salary, there is a 10%-15% annual bonus, along with an equity package provided as high potential pre-IPO stock options.

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 and unlimited PTO

Check out our LinkedIn page to learn more about what it’s like to work at CommerceIQ!

The Role:

We’re looking for a Software Development Engineer to join our Toronto team. This is a hands-on role where you’ll work alongside talented senior engineers, product managers, and data scientists to design, build, and deliver AI-powered commerce solutions.

Why this role matters

• Career growth: Gain experience with AI development in a real-world production environment
• High-impact work: Contribute to new AI-driven products that directly affect global brands
• Learning from the best: Work alongside experienced engineers and collaborate with a global, high-performing team

This is an onsite role with expectations that you are working from the office Monday-Friday

What You'll Do:

• Collaborate across functions: Build on a variety of use cases across the company
• Partner with executives: Get a full perspective from the Founders and CEO’s desk
• Grow technical skills: Participate in design reviews, write high-quality code, and gain experience with best practices in testing, security, and scalability
• Deliver impactful work: Ship features that are quickly adopted by customers and directly improve their ecommerce performance

What You'll Bring:

• 2-5 years of hands-on software engineering experience (internships and co-op work will be considered)
• A Bachelor's degree in Computer Science from a highly ranked university is a must have
• Proficiency in Java or Python
• Experience working with AI tools such as Claude
• Some experience building backend or full-stack applications, either in professional settings or personal projects (we especially love to see any contributions that you have on Github or Stackoverflow)
• Familiarity with cloud services (AWS/GCP/Azure), microservices, and modern development practices like CI/CD is helpful
• Strong problem-solving skills, eagerness to learn, and comfort working in a collaborative, fast-paced environment

Check out our LinkedIn page to learn more about what it’s like to work at CommerceIQ!

The Role:

We’re looking for a Software Engineer - Founder’s Office to join our Mountain View HQ team, working directly with our Founders. This is a hands-on role where you’ll work alongside talented senior engineers, product managers, and data scientists to design, build, and deliver AI-powered commerce solutions.

Why this role matters

• Career growth: Gain experience with AI development in a real-world production environment
• High-impact work: Contribute to new AI-driven products that directly affect global brands
• Learning from the best: Work alongside experienced engineers and collaborate with a global, high-performing team

This is an onsite role with expectations that you are working from the office Monday-Friday

What You'll Do:

• Collaborate across functions: Build on a variety of use cases across the company
• Partner with executives: Get a full perspective from the Founders and CEO’s desk
• Grow technical skills: Participate in design reviews, write high-quality code, and gain experience with best practices in testing, security, and scalability
• Deliver impactful work: Ship features that are quickly adopted by customers and directly improve their ecommerce performance

What You'll Bring:

• 2-5 years of hands-on software engineering experience (internships and co-op work will be considered)
• A Bachelor's degree in Computer Science from a highly ranked university is a must have
• Proficiency in Java or Python
• Experience working with AI tools such as Claude
• Some experience building backend or full-stack applications, either in professional settings or personal projects (we especially love to see any contributions that you have on Github or Stackoverflow)
• Familiarity with cloud services (AWS/GCP/Azure), microservices, and modern development practices like CI/CD is helpful
• Strong problem-solving skills, eagerness to learn, and comfort working in a collaborative, fast-paced environment

Compensation and Benefits: 

The typical base pay range for this role across the US is USD: $147,000 - $166,000/per year. Additionally, compensation for this role includes an equity package provided as high potential pre-IPO stock options. 

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 commuting, wellness, phone, and internet
• 10+ paid company holidays in each calendar year and unlimited PTO

Check out our LinkedIn page to learn more about what it’s like to work at CommerceIQ!

The Role:

As a Forward Deployed Engineer, you will partner closely with our founders and the AI Product Managers to prototype and deploy AI‑driven solutions that solve our customers’ most pressing problems. This is a founding engineering role with high visibility; you will report directly to our Head of AI Strategy and Outcomes. You will also partner with other members of the executive leadership team who are based at our Mountain View HQ, collaborate with our Bangalore‑based engineering team, and engage daily with enterprise customers. You will help define how we work with our most important customers, shape the company’s first ever forward deployed engineering function, and contribute to our mission of helping brands win in AI‑driven e-commerce.

Location / Travel:

This position is on-site in Toronto, Ontario, Canada with approximately 50% travel expected to client locations. We are only considering candidates located in the Toronto area at this time.

What You'll Do:

• Build prototypes with customers: Work alongside our AI Product Manager to understand real‑world problems, rapidly scope use cases and create working prototypes. You’ll engage in hands-on discovery and convert insights into functional demos for prospective and existing customers.
• Integrate data and create new AI agents: Ingest data from disparate sources (ERPs, ecommerce platforms, custom APIs) and build agents that solve the specific use cases uncovered during discovery. This includes turning edge‑case business rules into runtime‑editable settings rather than hard‑coded logic.
• Own AI outcomes: Lead customer‑facing demonstrations and proof‑of‑concepts. You’ll instrument and tune models using production feedback loops to ensure prototypes deliver measurable outcomes.
• Rapidly iterate & generalize: Collaborate with engineering teams in Bangalore to transform prototypes into robust features. Your work will be implemented into our core product - patterns that succeed in one deployment (custom adapters, monitoring dashboards) should be packaged as reusable modules.
• Own the full lifecycle: Support engagements from pre‑sales scoping through post‑deployment refinement. You’ll help to negotiate scope, push back on unreasonable asks, and ensure long‑term customer success. Additionally, you’ll act as the technical liaison between customers, product managers, and engineering.
• Cultivate customer relationships: Develop deep empathy for our customers’ business drivers and serve as their advocate. Use clear, engaging communication to convey technical concepts to non‑technical stakeholders, build trust and handle high‑stakes conversations.

What You'll Bring: 

• Experienced engineer (4-6 years or more) with a strong foundation in software development (coding, problem solving and debugging).
  • Comfortable coding in Python or Java and learning new technologies quickly.
• Full‑stack & data integration skills. Experience connecting to APIs, working with SQL/NoSQL databases, streaming/ETL pipelines and deploying AI/LLM‑based agents.
• Customer‑facing problem solver. You enjoy working directly with external users, conducting discovery, and translating ambiguous requirements into working solutions. You have excellent communication skills and the ability to simplify complex technical topics.
• Rapid prototyper. You are biased towards action and are comfortable delivering minimal‑viable solutions, collecting feedback and iterating quickly.
• Collaborative & global. You’re effective working across time zones with leadership in California and engineering in Bangalore. You embrace CommerceIQ’s leadership principles of ownership, deep diving into details, getting stuff done, thinking from first principles and winning as a team.
• Independent & adaptable. You thrive in ambiguity, can manage your own backlog and priorities, and are motivated by the opportunity to create a new function.
• Bachelor's degree, in Computer Science, Mathematics, or a related field

Nice to Haves:

• Prior experience in a forward‑deployed, solutions engineering, technical product management or customer implementation role. Candidates coming from companies known for forward‑deployed engineering (e.g., Palantir, Scale AI, Ramp, Postman etc.) are strongly encouraged to apply.
• Familiarity with e-commerce, retail, supply‑chain or ad‑tech data.
• Exposure to large‑language‑model applications (fine‑tuning, prompt engineering, building retrieval‑augmented generation workflows).

Check out our LinkedIn page to learn more about what it’s like to work at CommerceIQ!

The Role:

The e.fundamentals Digital Shelf Analytics platform gathers almost 4 million web pages per day from around 500 retailers worldwide. Gathering data on such a massive scale demands specialised tools for scheduling and reviewing thousands of individual tasks.

The Scheduling team is responsible for devising, building and supporting these tools. The team creates applications and services that enable our internal users to manage tasks safely and efficiently at scale. We’re looking for an experienced senior Software Engineer to lead the team as we develop a brand new iteration of our scheduling system to meet the demands of our rapidly growing customer-base.

What You'll Do:

• Lead a team of talented engineers, empowering them to deliver a flexible and highly-scalable scheduling system
• Take responsibility for the health and success of the team; maintain and foster a positive and collaborative culture
• Balance hands-on development alongside team leadership responsibilities
• Participate in critical technical and strategic discussions with stakeholders across the product engineering organisation. Help define and maintain a vision and roadmap for the team
• Be responsible for all aspects of the team’s delivery and development cycle; leading and championing agile processes, and driving continuous improvement
• Collaborate with senior engineers to define a target architecture for the system and identify a route towards its delivery
• Champion the work of the team; ensure its successes are celebrated
• Be an advocate for the individuals within the team. Guide them in their personal development, and help them to grow and maximise their opportunities within CommerceIQ
• Participate in engineering and architecture forums to help build a culture of excellence within the engineering organisation

What You'll Bring:

• Extensive experience of using JavaScript, React and Node to build rich applications and supporting back-end APIs
• A track record of building full-stack products at scale
• A background leading other engineers
• Significant experience working with Linux/Unix
• A strong understanding of web technologies: HTML, DOM, HTTP, and CSS
• A strong understanding of modern coding practices and standards
• Great interpersonal and communications skills
• A passion for delivering quality software

Nice to Haves: 

• Experience with TypeScript
• Experience of building services in the cloud, especially with Google Cloud Platform
• Experience of containerisation using Docker and Kubernetes
• Experience of building infrastructure as code, especially with Terraform
• Knowledge of web-scraping and its challenges
• Data analysis and SQL skills

The Role:

As a Forward Deployed Engineer, you will partner closely with our founders and the AI Product Managers to prototype and deploy AI‑driven solutions that solve our customers’ most pressing problems. This is a founding engineering role with high visibility; you will report directly to our Head of AI Strategy and Outcomes. You will also partner with other members of the executive leadership team who are based at our Mountain View HQ, collaborate with our Bangalore‑based engineering team, and engage daily with enterprise customers. You will help define how we work with our most important customers, shape the company’s first ever forward deployed engineering function, and contribute to our mission of helping brands win in AI‑driven e-commerce.

Location / Travel:

This position is on-site at our London office with approximately 50% travel expected to client locations. We are only considering candidates located in the London, UK area at this time.

@CommerceIQ, you will :

• Build agentic AI products and capabilities from the ground up
• Design and deliver fullstack features with a high degree of autonomy
• Convert product requirements into scalable technical solutions across the stack
• Help shape and implement the core architecture of a new product
• Work with cross-functional partners across engineering, product, and go-to-market teams to gather requirements and integrate with the broader CommerceIQ platform
• Write clean, well-tested code and contribute to technical documentation
• Participate in code reviews and help set strong engineering standards for the team
  
  

What you will need

• At least 5 years of professional software engineering experience
• Hands-on experience building and shipping production-grade agentic or generative AI systems in a fullstack setting
• Familiarity with technologies such as Python, Node, React, Postgres, Databricks, and AWS, or comparable stacks
• Ability to independently decompose complex problems and drive solutions to completion
• Strong product sense and experience collaborating effectively with cross-functional partners 
• Comfort working in an early-stage or evolving environment where priorities can change quickly