Marketing's only limit is budget.

We're marketers like you.

We decide to create something that would make our profession easier and more effective. Our mission started with one thought: 'What can we create that would help us maximize the ROI of every marketing dollar we spend?' We sought the advice of some of the savviest media, agency & brand executives we could find. What we found missing - and sorely needed - was an easy to digest picture of where there's profitable opportunity to grow the bottom line.

With consumers increasingly discovering and buying products via organic channels, it's becoming a growing difficultly for marketers to identify product demand opportunity and spend budget accordingly. The cost of keywords, targeting demographic segments and display ads have gone through the roof; at times exceeding the lifetime value of the acquisitions through those channels.

Consumers live in the moment, and marketers need to as well. Because we don't have tools in place to address and respond to organic discovery, we miss low cost profitable opportunities and commonly overspend acquiring a customer. We believe marketers can respond with much higher relevance and spend their budgets much more precisely when they know what opportunities are in their marketing funnel right now.

We help marketing accomplish more.

Team

Our team and our advisors have helped to build some of the fastest growing companies on the planet, built & implemented Fortune 500 marketing technology & managed millions of dollars in online marketing spend.

We live, work & play in Downtown Seattle, where we accelerated our business with help from TechStars & Microsoft.

When not obsessing about delighting our customers, perfecting User Experience, & geeking out on retail data science - you can probably find our team trying to get that elusive 300 at bowling alley or enjoying the snow out on the slopes.

Jobs

We are hiring! If you're excited about the oppourtunites in the retail industry and want to join a growing start-up, look at our open positions below. If you see something perfect for you or if you don't see anything listed that fits your skill set but you are passionate about helping retailers grow, email us at info@heroic.ly.

Heroic.ly gives retailers a new and cost effective way to acquire customers. Our platform helps retailers address overlooked product demand and creates targeted marketing campaigns that turn highly qualified, anonymous users into customers.

We are seeking an experienced Data Science Engineer to help drive and build upon our spend recommendation engine product. Based on a thorough understanding of the retail industry and path to purchase data, you will identify opportunities for applying algorithms and data driven models to help our clients drive cost effective customer acquisition campaigns.


We like you because:

You love the retail space and get excited about all the change and opportunity that surrounds it. Retail Dive and The Robin Report are on your daily checklist to stay in the know. And you always find yourself talking about the industry and coming up with visions of what the future of retail might look like.


Day-to-day:

Extensive, hands-on experience using Data Science technologies to implement data integration, data mining, and data modeling solutions is needed on a daily basis. You will leverage these skills & talents in:

  • Leading the creation of high-value data analysis and processing systems for our clients
  • Collaborating with the executive team and sales

Job skills & requirements:

  • Experience taking vague requirements and transforming them into crisp deliverables.
  • Intense curiosity, high intellectual and analytic horsepower, relentless pursuit of data-driven insights.
  • Strong understanding of descriptive and experimental statistics, A/B and multivariate testing techniques.
  • Experience with data visualization techniques coupled with strong story telling skills for technical and non-technical audiences.
  • A strong understanding of RDBMS systems as well as dimensional warehouse data models.
  • Understanding of columnar database solutions (OLAP, etc) is valuable.
  • Big data experience (Hive, Presto, Hadoop, Spark) is a plus.
  • Demonstrated ability to work across technical and business stakeholders.
  • Exceptional written and oral communication skills.
  • Strong motivation and ability to work independently.

Heroic.ly gives retailers a new and cost effective way to acquire customers. Our platform helps retailers address overlooked product demand and creates targeted marketing campaigns that turn highly qualified, anonymous users into customers.

We are seeking an experienced Data Science Engineer to help drive and build upon our spend recommendation engine product. Based on a thorough understanding of the retail industry and path to purchase data, you will identify opportunities for applying algorithms and data driven models to help our clients drive cost effective customer acquisition campaigns.


We like you because:

You love the retail space and get excited about all the change and opportunity that surrounds it. Retail Dive and The Robin Report are on your daily checklist to stay in the know. And you always find yourself talking about the industry and coming up with visions of what the future of retail might look like.


Day-to-day:

Extensive, hands-on experience using technologies like Node.JS, Python, RedShift, Teradata, and MapReduce. You will leverage these skills & talents in:

  • Leading the development of new technologies including APIs and automations for our spend recommendation engine.
  • Partner with the executive team and sales team to understand customer needs.

Job skills & requirements:

  • Experience taking vague requirements and transforming them into crisp deliverables.
  • Intense curiosity, high intellectual and analytic horsepower, relentless pursuit of data-driven insights.
  • A strong understanding of Object Oriented and Agile development practices.
  • Understanding of columnar database solutions (OLAP, etc) is valuable.
  • Big data experience (Hive, Presto, Hadoop, Spark) is a plus.
  • Demonstrated ability to work across technical and business stakeholders.
  • Exceptional written and oral communication skills.
  • Strong motivation and ability to work independently.

Heroic.ly gives retailers a new and cost effective way to acquire customers. Our platform helps retailers address overlooked product demand and creates targeted marketing campaigns that turn highly qualified, anonymous users into customers.

We are seeking an experienced Data Science Engineer to help drive and build upon our spend recommendation engine product. Based on a thorough understanding of the retail industry and path to purchase data, you will identify opportunities for applying algorithms and data driven models to help our clients drive cost effective customer acquisition campaigns.


We like you because:

You love the retail space and get excited about all the change and opportunity that surrounds it. Retail Dive and The Robin Report are on your daily checklist to stay in the know. And you always find yourself talking about the industry and coming up with visions of what the future of retail might look like. You have the drive, commitment and passion for success.


Day-to-day:

Most of your day will be spent working with the executive team and our core customer base in helping us build out the business. You will be asked to help with:

  • Account development and management
  • Reporting to executive team.
  • Collecting customer feedback that can be used for product development

Job skills & requirements:

  • Account development and sales.
  • Lead generation.
  • Sales tools development.
  • CRM/account management.
  • The desire to be a leader in this space by sharing insights, discoveriers and recommendations through our marketing channels.
  • Understanding of marketing analytics and data-drive decision making.
  • A strong understanding of the challenges and needs of retailers and marketing professional.
  • Competitive analysis of other product offerings.
  • Some customer service experience.
  • Demonstrated ability to work across technical and business stakeholders.
  • Exceptional written and oral communication skills.
  • Strong motivation and ability to work independently.