At CommerceIQ, we are building the world’s most sophisticated E-commerce Channel Optimization software to help brands leverage Machine Learning, Analytics and Automation to grow their E-commerce business on all channels, globally. We are backed by Series C funding with $60M .

CommerceIQ has been adopted by leading consumer brands accounting for billions of dollars in ecommerce sales and marketing spend. These brands rely on CommerceIQ’s machine-based commerce technology and business processes, which are purpose-built to tune ecommerce algorithms, collaborate and share data-driven insights in real-time in response to changing variables across hundreds of products on leading retail sites. Using CommerceIQ as a single source of truth, customers have driven 40% increase in incremental sales, 20% improvement in profitability and 32% reduction in out of stock rates on Amazon.

At the back of strong product-market fit and a change in human behaviour due to CoVid that buoyed e-commerce, we tripled our revenue consecutively in 2019 and 2020. More than 50 consumer brands use our product to drive e-commerce growth. Our customers include named brands like Bayer Healthcare, J&J, Nestle, Hamilton Beach, Hill’s Pet Nutrition, Kellogg, Kimberly Clark, Colgate, Mars, Inc. and many others. zWe help consumer brands sell better across all online e-commerce channels like Amazon, Walmart, Target by leveraging machine learning, analytics and automation in all aspects of Supply Chain, Pricing, Promotions, Advertising, Forecasting, Search optimisation and Content optimisation.

Our focus in 2021 is to heavily invest in our data sciences, engineering and product capability to make our customers successful, create industry level differentiators and establish ourselves as a market leader in this rapidly growing market!

What You’ll Be Doing

As a Senior Data Scientist, you will work closely with Engineering/Product/Operations teams to build state-of-the-art ML based solutions for B2B SaaS products. This entails not only leveraging advanced techniques for predictions, time-series forecasting, topic modelling, optimisation but deep understanding of business and product too.

• Apply excellent problem solving skills to deconstruct and formulate solutions from first-principles
• Work on data science roadmap and build the core engine of our flagship CommerceIQ product
• Collaborate with product and engineering to design product strategy, identify key metrics to drive and support with proof of concept
• Perform rapid prototyping of experimental solutions and develop robust, sustainable and scalable production systems
• Work with large scale ecommerce data of the biggest brands on amazon
• Apply out-of-the-box, advanced algorithms to complex problems in real-time systems
• Drive productization of techniques to be made available to a wide range of customers
• You would be working with and mentoring fellow team members on the owned charter 

What we are looking for -

• Bachelor’s or Masters in Computer Science or Maths/Stats from a reputed college with 1+ years of experience in solving data science problems that have driven value to customers
• Good depth and breadth in machine learning (theory and practice), optimization methods, data mining, statistics and linear algebra. Experience in NLP would be an advantage
• Hands-on programming skills and ability to write modular and scalable code in Python/R. Knowledge of SQL is required
• Familiarity with distributed computing architecture like Spark, Map-Reduce paradigm and Hadoop will be an added advantage
• Strong spoken and written communication skills, able to explain complex ideas in a simple, intuitive manner, write/maintain good technical documentation on projects
• Experience with building ML data products in an engineering organization interfacing with other teams and departments to deliver impact
• We are looking for candidates who are curious and self-starters; obsess over customer problems to deliver maximum value to them.

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. 

• We have a flat hierarchy. Everyone codes, everyone ships
• 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

<Interview process information>

At CommerceIQ, we are building the world’s most sophisticated E-commerce Channel Optimization software to help brands leverage Machine Learning, Analytics and Automation to grow their E-commerce business on all channels, globally. Physical constraints on shelf space are gone and consumer behavior controls the shelf, with constantly changing algorithms now managing what products are available to buy. Winning in eCommerce means beating competitors for digital shelf space and exposure, and that can only happen when consumer brands make these algorithms work to their advantage. That is where our platform comes in and helps top brands win in the eCommerce space.

In Q2 2020, US retail eCommerce (E-com) sales grew by 44.5% YOY, per the US Census Bureau of the Department of Commerce. Total E-com picked up nearly 5% points in the total retail market over just 1 Qtr, according to DOC, accounting for 16.1% of all retail sales in Q2. Retail incumbents like Walmart & Kroger are joining the likes of Amazon & Instacart to win the battle of supremacy.

Principal Product Manager gives you an opportunity to shape the future and transform the industry. If you are excited about the opportunity to work with the smartest people from the industry on the most cutting solutions to help brands move to this new world, and generate billions of dollars of brand value, then this is the role for you.

Problems you’ll get to solve include:

• Machine Learning based demand forecasting and planning capability for world's largest CPG brands like Kimberly Clark, Revlon and Nestle.

• How to prevent top brands from losing money through revenue leakage in the eCommerce space by optimizing pricing and promotions, along with supply chain.

• Mining shopping behavior changes and category insights from eCommerce data using Machine Learning and AI.

• Scaling the CIQ platform coverage by integrating with multiple retail platforms like Walmart, Kroger, Target etc.

• How to allow brands to go beyond campaign performance data and maximize digital shelf presence to consistently win at the moment of purchase through integrated advertising. 

In this role you will: 

• Own and drive the vision of our product roadmap, balancing short and long-term goals to scale.

• Become an ally to our customers, working directly with them to understand their use cases and product pain points. 

• Evangelize eCommerce Channel Optimization (ECO) and the impact that AI and algorithms can have on our customers business.

• Work with our customer success and sales teams to collect and analyze feedback, understand market trends and synthesize into roadmap priorities and work closely with UX and engineering for execution. 

• Manage bottlenecks, provide escalation management, anticipate and make trade-offs, balance the business needs versus technical constraints, and maximize business benefit while building great customer experiences.

• Lead by example. Roll up your sleeves to ensure projects stay on schedule and meet our high standards of quality.

Basic Qualifications and/or Experience

• Bachelor’s degree with a technical discipline, MBA preferred.

• 9-12 years total experience, 5+ years of product management in software platform or SaaS solutions.

• Customer obsession-proven ability to develop innovative product solutions that are grounded in a deep understanding of customer needs.

• Experience translating customer needs and ideas into detailed product requirements.

• Ability to understand and discuss technical concepts, manage tradeoffs and evaluate opportunistic new ideas with internal and external partners.

• Experience with end to end product delivery, overseeing roadmap strategy and execution.

• Experience engaging and influencing both peers and senior executives

• Strong analytical and quantitative skills.

• Proven ability to use a data driven approach to back up assumptions and drive actions.

Preferred Qualities or Experience:

• Track record of having built successful enterprise analytics, Machine Learning or supply chain products.

• Experience with commerce back-end systems and processes.

• Experience Amazon will be a huge plus.

Personal Traits:

Embodies CIQ’s Leadership Principles which borrow heavily from Amazon: Customer Obsession, Ownership, Think Big, Dive Deep, Deliver Results, Bias for Action, Invent and Simplify, Earns Trust, Hire and Develop the Best, Learn and Be Curious, Have Backbone: Disagree and Commit.

About CommerceIQ

At CommerceIQ, we are building the world’s most sophisticated E-commerce Channel Optimization software to help brands leverage Machine Learning, Analytics and Automation to grow their E-commerce business on all channels, globally. 

CommerceIQ has been adopted by leading consumer brands accounting for billions of dollars in ecommerce sales and marketing spend. These brands rely on CommerceIQ’s machine-based commerce technology and business processes, which are purpose-built to tune ecommerce algorithms, collaborate and share data-driven insights in real-time in response to changing variables across hundreds of products on leading retail sites. Using CommerceIQ as a single source of truth, customers have driven 40% increase in incremental sales, 20% improvement in profitability and 32% reduction in out of stock rates on Amazon.

At the back of strong product-market fit and a change in human behaviour due to CoVid that buoyed e-commerce, we tripled our revenue consecutively in 2019 and 2020. More than 50 consumer brands use our product to drive e-commerce growth. Our customers include named brands like Bayer Healthcare, J&J, Nestle, Hamilton Beach, Hill’s Pet Nutrition, Kellogg, Kimberly Clark, Colgate, Mars, Inc. and many others. We help consumer brands sell better across all online e-commerce channels like Amazon, Walmart, Target by leveraging machine learning, analytics and automation in all aspects of Supply Chain, Pricing, Promotions, Advertising, Forecasting, Search optimisation and Content optimisation.

Our focus in 2021 is to heavily invest in our data sciences, engineering and product capability to make our customers successful, create industry level differentiators and establish ourselves as a market leader in this rapidly growing market!

What You’ll Be Doing

As a Senior Data Scientist, you will work closely with Engineering/Product/Operations teams to build state-of-the-art ML based solutions for B2B SaaS products. This entails not only leveraging advanced techniques for predictions, time-series forecasting, topic modelling, optimisation but deep understanding of business and product too.

• Apply excellent problem solving skills to deconstruct and formulate solutions from first-principles
• Work on data science roadmap and build the core engine of our flagship CommerceIQ product
• Collaborate with product and engineering to design product strategy, identify key metrics to drive and support with proof of concept
• Perform rapid prototyping of experimental solutions and develop robust, sustainable and scalable production systems
• Work with large scale ecommerce data of the biggest brands on amazon
• Apply out-of-the-box, advanced algorithms to complex problems in real-time systems
• Drive productization of techniques to be made available to a wide range of customers
• You would be working with and mentoring fellow team members on the owned charter 

What we are looking for -

• Bachelor’s or Masters in Computer Science or Maths/Stats from a reputed college with 4+ years of experience in solving data science problems that have driven value to customers
• Good depth and breadth in machine learning (theory and practice), optimization methods, data mining, statistics and linear algebra. Experience in NLP would be an advantage
• Hands-on programming skills and ability to write modular and scalable code in Python/R. Knowledge of SQL is required
• Familiarity with distributed computing architecture like Spark, Map-Reduce paradigm and Hadoop will be an added advantage
• Strong spoken and written communication skills, able to explain complex ideas in a simple, intuitive manner, write/maintain good technical documentation on projects
• Experience with building ML data products in an engineering organization interfacing with other teams and departments to deliver impact
• We are looking for candidates who are curious and self-starters; obsess over customer problems to deliver maximum value to them.

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. 

• We have a flat hierarchy. Everyone codes, everyone ships
• 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

2020 has been a watershed year for E-commerce: Under stay-at-home orders, US consumers shopped heavily online, as expected. In Q2 2020, US retail eCommerce sales grew by almost a third (31.8%) from the previous quarter, or 44.5% year over year, per the US Census Bureau of the Department of Commerce (DOC). That’s $211.51 billion in Q2 2020, up from $160.41 billion in Q1 2020. Total eCommerce picked up nearly 5 percentage points in the total retail market over just one quarter, according to the DOC, accounting for 16.1% of all retail sales in Q2. Retail incumbents like Walmart and Kroger are joining the likes of Amazon and Instacart to win the battle of supremacy. 

At CommerceIQ, we are building the world’s most sophisticated E-commerce Channel Optimization software to help brands leverage Machine Learning, Analytics and Automation to grow their E-commerce business on all channels, globally. Physical constraints on shelf space are gone and consumer behavior controls the shelf, with constantly changing algorithms now managing what products are available to buy. Winning in eCommerce means beating competitors for digital shelf space and exposure, and that can only happen when consumer brands make these algorithms work to their advantage. That is where our platform comes in and helps top brands win in the eCommerce space.

We are looking for strong engineers who will join our engineering team to develop a product that will help shape how consumer brands sell on e-commerce platforms.

Are you ready to power intelligent commerce ?
@CommerceIQ, you will :

• You will be responsible for developing, testing and releasing features within time and with high quality that will drive revenue and margin impact to top brands.
• You will be designing your own features keeping in mind the scale and high availability of the systems.
• You will be working with the team and expected to perform code reviews, conduct design discussions and mentor other developers.
• You will be the owner of your feature and work directly with product teams to drive customer impact.
• You will be expected to participate in all phases of the software development cycle as part of a Scrum team.
• You will be a key member of the hiring panel across CIQ.
• You will be the gatekeeper of tech decisions of the team and contribute heavily to the tech strategy, working closely with product and design teams.

Experience :5+ Years in designing and developing complex and scalable software modules..
Skillset :

• The ideal candidate will be an experienced Java developer with exceptional software system design, problem solving, and object-oriented coding skills
• Experience with distributed transaction-processing systems or asynchronous messaging technology is required. 
• Good understanding of system performance trade-offs, load balancing, and engineering for high availability.
• Obsessed about building quality software and owning end to end responsibility for the developed features.
• Understanding of enterprise information systems, service oriented architectures, and operational data stores is a plus 
• BS or MS in Computer Science/Engineering, Mathematics, Statistics or similar degree from a top tier institution.

CommerceIQ is a well-funded, Series B growth stage start-up that helps consumer brands grow their business on e-commerce channels (like Amazon, Walmart) using advanced algorithms and machine learning technology. We help consumer brands win shoppers at the moment of purchase by algorithmically managing supply chain, demand forecasting, promotions and advertising spend, fraud listing detection, content optimization and other aspects that help shoppers make online purchase decisions. 

In 2020, CoVid 19 affected every business, few positively and many negatively. However, E-commerce adoption has gone through the roof and we have seen e-commerce spend grow from 15% to 25% of retail spend in just 8 weeks! (Compare this to a decade that it took to grow e-commerce adoption from 5 to 15%). This put us in a unique situation and provided a huge opportunity for us to help brands grow significantly on e-commerce channels.

At the back of strong product-market fit and a change in human behaviour due to CoVid that buoyed e-commerce, we tripled our revenue consecutively in 2019 and 2020. More than 50 consumer brands use our product to drive e-commerce growth. Our customers include named brands like Bayer Healthcare, J&J, Nestle, Hamilton Beach, Hill’s Pet Nutrition, Kellogg, Kimberly Clark, Colgate, Mars, Inc. and many others.

Our focus in 2021 is to heavily invest in our engineering, product and customer success capability to bolster our product, make our customers successful and establish ourselves as a market leader in this rapidly growing market!

Roles and responsibilities :

• Manage the performance and career development of a team of engineers, and own significant parts of CIQ applications that require design, architecture, and coding (Both Frontend and Backend).
• Participate with senior management in developing a long-term technology roadmap.
• Be a role model and professional coach for engineers with a strong bias for action and focus on high standards.
• Work with peers across teams to support and leverage a shared technical stack.
• Manage teams to scale distributed applications, make architectural trade-offs applying right design patterns, review code, and deliver with speed and quality.
• Produce high-quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
• Own the QA and deployment strategies for the team.
• Work‌ ‌with‌ ‌multiple‌ ‌stakeholders to understand business, prioritise and execute based on company goals and priorities.
• Be the custodian of process and SDLC best practices within the team.
• Own hiring goals for the team and hire the best.
• Delivery and tech ownership of all roadmap / tech items for the team.

What you need to succeed :

• Should have proficiency in Backend and frontend technologies along with good experience in AWS.
• Should‌ ‌be‌ ‌aware‌ ‌of‌ ‌best‌ ‌practices‌ ‌for‌ ‌Software‌ ‌development‌ .
• 6+ years of relevant engineering work experience.
• 5+ years software design, coding in Java / equivalent and a good understanding of frontend technologies.
• 1+ years of management experience in building small to medium-sized teams, demonstrating growth and a track record of successful deliveries.

Preferred Qualifications : 

• 5+ years of experience in building and working with production grade systems.
• Shipped several large-scale projects with dependencies across multiple teams.
• Built and delivered on successful cross-functional partnerships across multiple teams.
• Been actively involved in creation and execution of technical strategy and roadmap.
• Actively coached, mentored and grew team members in their careers.
• Track record in partnering with recruiting to hire and build incredible engineering teams.
• Good understanding and experience in practicing SDLC best practices.
• Strong believer in innovation culture and Engineering driven ideas.
• Experience in release management and agile methodologies.

CommerceIQ is Hiring Data Scientist (3-5 yrs)

At CommerceIQ, we are building the world’s most sophisticated E-commerce Channel Optimization software to help brands leverage Machine Learning, Analytics and Automation to grow their E-commerce business on all channels, globally.

Using CommerceIQ as a single source of truth, customers have driven 40% increase in incremental sales, 20% improvement in profitability and 32% reduction in out of stock rates on Amazon.

What You’ll Be Doing

As a Senior Data Scientist, you will work closely with Engineering/Product/Operations teams to build state-of-the-art ML based solutions for B2B SaaS products. This entails not only leveraging advanced techniques for predictions, time-series forecasting, topic modelling, optimisation but deep understanding of business and product too.

• Apply excellent problem solving skills to deconstruct and formulate solutions from first-principles

• Work on data science roadmap and build the core engine of our flagship CommerceIQ product

• Collaborate with product and engineering to design product strategy, identify key metrics to drive and support with proof of concept

• Perform rapid prototyping of experimental solutions and develop robust, sustainable and scalable production systems

• Work with large scale ecommerce data of the biggest brands on amazon

• Apply out-of-the-box, advanced algorithms to complex problems in real-time systems

• Drive productization of techniques to be made available to a wide range of customers

• You would be working with and mentoring fellow team members on the owned charter

What we are looking for -

• Bachelor’s or Masters in Computer Science or Maths/Stats from a reputed college with 4+ years of experience in solving data science problems that have driven value to customers

• Good depth and breadth in machine learning (theory and practice), optimization methods, data mining, statistics and linear algebra. Experience in NLP would be an advantage

• Hands-on programming skills and ability to write modular and scalable code in Python/R. Knowledge of SQL is required

• Familiarity with distributed computing architecture like Spark, Map-Reduce paradigm and Hadoop will be an added advantage

• Strong spoken and written communication skills, able to explain complex ideas in a simple, intuitive manner, write/maintain good technical documentation on projects

• Experience with building ML data products in an engineering organization interfacing with other teams and departments to deliver impact

• We are looking for candidates who are curious and self-starters; obsess over customer problems to deliver maximum value to them.
• Data scientist, Machine Learning, data science, data analyst

Job Type: Full-time

Experience:

• Data Scientist: 3 years (Required)

Application Question:

• Looking for product based industry experience from tier 1 /tier 2 colleges (NIT ,BIT, IIT,IIIT, BITS, Strong Profiles)

CommerceIQ is a well funded fast growing enterprise SaaS platform that is helping brands grow and sell more on e-commerce channels through its machine learning technology. Are you excited about building distributed crawling engine at global scale that will crawl and parse 1000’s of websites with 10+ million crawls on a daily basis? Would you enjoy building something as ambitious as “Google/Facebook Ad platform” for Amazon (and other e-commerce retailers)? Does building a CI/CD and containerisation framework that will allow our products to be released and deployed every week across dozens of geographies and data centers seamlessly excite you? Do you find building machine learning models that will optimize billions of dollars in ad and promotions spend exhilarating? Do you find it super exciting to build a plug and play product UI platform where leaders of brands will spend hours daily (almost as much as an email inbox) to optimize their business? We can keep writing, but you will get the idea.

In our journey of building and scaling CommerceIQ, Engineers and data scientists in our team tackle these and many more problems daily. If you are as excited as we are after reading this, we would love to talk to you! 30+ global brands including Kellogg, Unilever, Johnson & Johnson, MARS, Nestle, Logitech and many more trust our product to manage their growth on Amazon. If you are excited about building product that will write the script for how brands sell and grow on e-commerce channels please reach out to us.

Are you ready to power intelligent commerce? @CommerceIQ, you will :

• You will be responsible for developing, testing and releasing features within time and with high quality that will drive revenue and margin impact to top brands.

• You will be designing your own features keeping in mind the scale and high availability of the systems. • You will be working with the team and expected to perform code reviews, conduct design discussions and mentor other developers.

•You will be the owner of your feature and work directly with product teams to drive customer impact.

• You will be expected to participate in all phases of the software development cycle as part of a Scrum team.

Experience : 3+ Years in developing in designing and developing complex and scalable software modules..

Skillset : • The ideal candidate will be an experienced Java developer with exceptional software system design, problem solving, and object-oriented coding skills

• Experience with distributed transaction-processing systems or asynchronous messaging technology is required.

• Good understanding of system performance trade-offs, load balancing, and engineering for high availability.

• Obsessed about building quality software and owning end to end responsibility for the developed features.

• Understanding of enterprise information systems, service oriented architectures, and operational data stores is a plus

• BS or MS in Computer Science/Engineering, Mathematics, Statistics or similar degree from a top tier institution