Intellimize intelligently optimizes each buyer’s path to drive more revenue, more customers, and more leads from websites. Our unique machine learning based solution enables experimentation and personalization at an unparalleled scale, and it replaces traditional approaches to optimization such as A/B testing and rules-based personalization.
Founders are experienced execs from Yahoo, Twitter, and BrightRoll, who are also entrepreneurs with successful exits in the past, including one who sold his start-up to Yahoo. Our engineering team has deep expertise building massive-scale personalized recommendation systems and machine learning infrastructure at Yahoo, Google, and Quora.
We are experiencing a lot of growth in revenue and customer count. Our customers love us!
We are well funded by well-known VCs (Addition, Amplify Partners, Homebrew, Pear VC and Precursor).
We hire the best engineers and trust them with a lot of responsibilities. We are a very flat organization.
We operate on the principle of moving fast and making impact. We do quarterly planning to align the company across functions on important business, product and engineering goals. We use Kanban process (Trello) for weekly planning and daily stand-up.
We use git for source code management. We require design and code review. We invest in documentation and automated tests. We empower engineers to push to production whenever things are ready, many times a day.
For Backend / Machine Learning Engineer position:
You will design and implement machine learning training pipelines to build a variety of machine learning models in collaboration with scientists and product owners. You will also build and continuously improve machine learning model serving with ultra-low latency and frequent updates. Some examples of machine learning problems we're solving — determine causality of UI experiences to conversions, applying couterfactuals to understand what would happen if different experiences are shown instead, applying reinforcement learning technique to maximize conversion in user purchase journey.
You will implement and enhance data pipelines for analytics to power the insights in our Dashboard, which our customers rely on for continuous ideation and decision making. Many insights require advanced statistical analysis which you'll iterate and implement in conjunction with scientists and product owners.
For Full Stack / Frontend position:
You will be the core contributor to the Dashboard our customers use on a daily basis (think Google Analytics Dashboard). This Dashboard presents analytics information based on large amount of data — plenty of data visualization challenges, and if you're up for it, analytics computation challenges. It will also have a WYSIWYG site editing tool, with AI assistance, which you'll make substantial contributions to.
We move fast. We are data-driven. We get things done. We believe in the philosophy of “customers as true north”. We believe in the importance of work/life balance to do your very best work. We love hanging out and geeking out with each other.
Take a break whenever you need to recharge!
Full medical, dental and vision coverage.
Many of us work from home once a week
No hard rules around work hours (none of us likes to get stuck in traffic)
Interested in this company?
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