Careers @ DM

Are you smart? Ready to revolutionize retail? And like a good IPA? Join us.

Sales & Marketing

ENTERPRISE SALES LEAD

Digital Mortar will enable scalable, accurate, full path customer analytics for physical retail environments.

Lead the growth of Digital Mortar’s product and services through directly interfacing with enterprise prospects and shaping the overarching sales strategy.  A strong track record of selling enterprise software, preferably in the analytics space, is required.

Compensation and equity is negotiable based on experience.

If interested, please send your resume to and a few short bullets summarizing how you have worked with Big Data to info@digitalmortar.com.

Development

SOLUTION ARCHITECT

Digital Mortar will enable scalable, accurate, full path customer analytics for physical retail environments.

If you have elite level back end programming skills, experience shaping Big Data, a desire to be at the bleeding edge of innovation and the willingness to take a high upside risk – then this opportunity is for you. Specifically, we are looking for people who have used any/all of the following, particularly in mapping/behavioral context:
Experience building large big-data analytics systems

  • Experience with cutting-edge cloud-based technologies
  • Advanced data architecture skills around real-time data processing stacks
  • Experience with in-memory and real-time analytics stack
  • Experience with IoT and physical data integrations
  • We recognize that genius architects come with all different backgrounds and degrees so there are no strict applicant requirements.

Compensation and equity is negotiable based on experience.

If interested, please send your resume to and a few short bullets summarizing how you have worked with Big Data to info@digitalmortar.com.

 

SOLUTION DEVELOPER

If you have elite level back end programming skills, experience shaping Big Data, a desire to be at the bleeding edge of innovation and the willingness to take a high upside risk – then this opportunity is for you. Specifically, we are looking for people who have used any/all of the following, particularly in mapping/behavioral context:
Experience with cutting-edge development on big data analytics platforms

  • Experience with signal processing, location services, and signal tracking
  • IoT and physical device integration
  • Cloud-based analytics software
  • Modern web interfaces and analytics reporting
  • Experience with in-memory and real-time analytics software development

We recognize that genius programmers come with all different backgrounds and degrees so there are no strict applicant requirements.

Compensation and equity is negotiable based on experience.

If interested, please send your resume to and a few short bullets summarizing how you have worked with Big Data to info@digitalmortar.com.

Professional Services

BIG DATA ANALYST

Digital Mortar will enable scalable, accurate, full path customer analytics for physical retail environments.

If you have analytics, statistics, math or economics background and a track record of taking large volumes of data and distilling in meaningful ways — then this opportunity is for you. Specifically, we are looking for people who have used any/all of the following, particularly in a customer behavioral analytics context:
• Tableau or other similar BI tool experience
• Statistical modeling using R, Python, SAS or SPSS
• Experience using big data analytics platforms including digital behavioral data suites like Adobe Analytics and/or Google Analytics
• Familiarity with some of the following – SQL, Python, Hive, Spark, Impala, Scala

We recognize that genius analysts come with all different backgrounds and degrees so there are no strict applicant requirements.

Compensation and equity is negotiable based on experience.

If interested, please send your resume to and a few short bullets summarizing how you have worked with Big Data to info@digitalmortar.com.

DM QUESTION BAR

What is the Product, exactly?

A full SaaS in-store customer tracking system that includes video and camera tracking customized to your stores/scale, robust cloud-based data collection and integration of internal (PoS) and external (weather) data, and a rich, business-focused set of reports to drive store layout, merchandising, and staff optimization.

What makes it different?

More robust and accurate data collection that uses integrated camera and wifi to optimize measurement. An ability to scale across your stores – economically. Integration of store planogram data and key external data sources like weather. Vastly superior reporting that focuses on real business issues. And full access to your low-level data.

How do you collect the data?

We integrate best-of-breed video and wifi tracking systems. Why? Video provides highly accurate entrance counting and customer type identification. Wifi, especially if tuned and custom-implemented for measurement, provides better store journey tracking. Together, they can provide a more complete measurement solution that also scales more economically across stores.

What makes this better?

It’s the analytics and reporting. If you’ve ever tried to use any of the existing systems, you know they are pretty much data dumps. And the data isn’t that great. Based on our deep experience in customer analytics, we’ve built a thoughtful report suite that tackles real business problems and drives to actual decisions. It includes important external data and powerful segmentation capabilities.

What are the reports?

Our reports cover store performance, store layout, and staff optimization. We track how different stores are performing: overall, by category and by customer type. For store layout, we analyze top draws, exit points, key corridors, and queue points – all segmented by customer type. Staff analytics cover overall and team performance, scheduling gaps and opportunities, and optimal engagement strategies.

Do I get the data?

Yep. We clean it, process it, and append the key stuff. Then we give you a feed. So you have access to the real detail. Not just csv files with reporting cubes. Every classified tracking point, fully cleaned and fully documented. You own your data (but you’ll love our reporting too).

How much does it cost?

This is enterprise software. A single store PoC will range from $30k to $50k. That includes full hardware installation, setup and reporting, and an initial overview analysis. Typical hardware installation fees for subsequent stores are under $10K/store (varying by store size and configuration). The SaaS reporting and data feed is volume based (by number of stores) and ranges from $3k to $20k per month.