- Job Type: Full-Time
- Function: Product Mangement
- Industry: SaaS
- Post Date: 09/21/2022
- Website: commerceiq.ai
- Company Address: 425 N Whisman Rd, Mountain View, CA, 94043
About CommerceIQCommerceIQ specializes in Ecommerce Channel Optimization (ECO), the practice of using machine learning, analytics, and automation to optimize the e-commerce channel across the supply chain, marketing, and sales operations to win at the moment of purchase and drive profitable market share growth.
At CommerceIQ, we help consumer brands accelerate their retail ecommerce market share growth and profitably through machine learning and 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.
E-commerce enterprise software is a multi-billion dollar industry. CommerceIQ (previously known as Boomerang Commerce) is going after a $2B slice of the industry powering sales and marketing for brands selling on Amazon (and eventually e-commerce). In just a year after entering this space, the company has achieved a perfect trifecta of successes -more than 500 household brands utilize our machine learning platform to succeed on Amazon, organic revenues and funding from top tier VCs, and a product-market fit in the space demonstrated by high CSAT scores. 2019 is the year to scale our success and here’s where you come in. If you want to bet your career on a growth machine in an A+ class target market, its CommerceIQ.
We understand that A+ players don’t come easy and that’s why hiring the best and grooming them is the topmost value that we stand for. We are widely covered in top-tier media like CNBC,Wall Street Journal, FAST Company,Bloomberg and Business Insider. For more see blogs from our CEO: Thesis, Investment acceleration.
Here is what our employees are saying about working at CommerceIQ on ourYouTube Channel
As the Director of Engineering you will lead the effort in building a truly disruptive and fundamentally differentiated product. We have a core rockstarengineering team that have developed a world class pricing engine for biggest internet retailers. We are also developing the version 1.0 product that will fuel ecommerce growth for the biggest brands using ML. You will be leading and growing this team to bring a brand new product into the market.
As a key member of the executive team, work with Product Management, Marketing, Client Services and Sales to deliver new, compelling products to market.
Ship great products under stringent deadlines in the face of ambiguous requirements and changing business priorities.
Attract talent, hire the best engineers and grow teams at a rapid pace.
Establish strong interlock with Sales teams to win new deals and Client Services teams to ensure customer success.
Design enterprise-class SaaS systems that scales to 500+ customer deployments, supports real time recommendations and bidding optimizations.
BS or MS in Computer Science/Engineering, Mathematics, Statistics or similar degree from a top tier institution.
What you need to succeed
Excellent delivery and people management skills. Exceptional leadership skills and proven experience in shaping team culture
Hands-on experience in building distributed systems with AWS and experienced in building and delivering highly scalable Enterprise SaaS software.
Proven ability to headhunt, attract, retain, coach engineering talent from top companies and universities
Strong analytical skills and high ownership
Prior experience with a start-up is preferred
Willing to work with a distributed team