Engineering Team at is the first native conversational marketing platform and global publishing network comprised of digital assistants and chatbots. The platform brings together advanced Natural Language Processing (NLP), with proprietary data modeling and scoring, to ensure end users receive marketing messages and promotions, in the context of a conversation, that feel like recommendations from the conversational application.

Job Openings at

Top Engineering Values

Each team is asked to select, explain, and rank their top 8 values in order of importance.
  • Customer Comes First

    Everyone at the company is an account manager to some extent.

    As an early stage company, it is important that all members of our team directly interact with our biggest customers. serves two different types of customers: (1) developers of chat applications, and (2) brands and advertising agencies. We engage directly with our customers to provide customer support, foster a relationship more like a partnership, and brainstorm and vet ideas before we build anything. While certainly not a primary role of an engineer, everyone has some level of exposure to our customers this way.

    When we build new products or features, we do it iteratively, progressively creating more real versions. We go from conversations about an idea, to low fidelity prototypes (e.g. paper), to higher fidelity clickable prototypes, to functional prototypes, and then finally to product. We solicit feedback from our customers at every stage.

    We try to avoid the trap of building technologies first and finding users second. Instead, we always start by understanding the problems we want to solve for our customers.

  • Creative + Innovative

    Most of our team came from the R&D division of IBM Watson, so we have a strong research-centric culture.

    We look for individuals who thrive when given high-level guidelines and the freedom to operate independently within them. We encourage independent thought in our team members, and more importantly, we celebrate those who act on their independent thinking. We appreciate when people can make good decisions about how they allocate their time and prioritize which ideas to chase. While good ideas are valuable, we believe the majority of innovation comes from focus, and execution on, the right ideas.

    Creativity and innovation are ingrained in the culture of and in our teammates. As we grow, we look for independent-minded individuals who also know when to pull in others to collaborate and when to report back on their progress. Creativity is great, but true innovation requires collaboration.

  • Work/Life Balance

    Most of our founding team is, relatively speaking, older.

    We are by no means only looking to hire people from our same demographic, but it’s worth providing context on who our founding team members are and where we are in our lives. We are generally mid-30’s to mid-40’s, and all of us have families and lives outside of work. Our diverse work experience has led us to the conclusion that, over the long term, healthy, well-balanced individuals are more productive. Even though it’s a cliché, we truly believe in the “it’s a marathon, not a sprint” approach.

    Everyone has slightly different working hours. We work enough to get things done and only ask that folks be available for a handful of weekly times to collaborate and catch up. Having said that, we try to always be accessible to our customers and will put in the extra hours when needed. As a customer-first company, we are willing to drop everything when our customers need it. Luckily, our customers typically work 9-5 M-F, so it’s rare that anything comes up outside of standard working hours.

    As a company, we hold offsite meetings in a different city each quarter. We get together for three days to plan, bond, and have fun. Most recently, we went to Atlanta, and are headed to Denver next!

  • Heavily Team Oriented

    We are a flat organization with no managers.

    We’re currently too small of a team to worry about titles. In the not too distant future, we’ll have more clearly defined roles and a hierarchy that fits our company culture, but for now, we are one team. We have deliverables and company goals that we all work towards together. The way we plan and operate is heavily collaborative. In the rare cases where we don't have a consensus, we operate under a "first among equals" style where the CEO acts as final arbiter.

    Meet our team:

    • Ryan (Cofounder)
    • Ben (Cofounder and CEO)
    • Jason (Software Engineer)
    • Eric (Director of Engineering)
    • Stephanie (Cofounder, Product and UX Design)
    • Mike (Cofounder, President)

    You can also learn more about who we are on our team page.

  • Start-to-Finish Ownership

    We want our employees to be active owners of the business.

    There is so much to do at that we need every one of our team members to be an active owner. Whether this means taking ownership of our frontend, or some aspect of the backend, we want people to view their responsibilities as being more than just lines of code. We are hiring the future leaders of our company, individuals who will grow with the company as it scales, and we all recognize that the decisions we make today will have a deep impact on everyone that joins us later.

    When you’re at a startup, there’s more things to do than there are people. We look for the type of person who solves problems on their own and brings others in when appropriate. Resourcefulness is key but you should also be comfortable asking for help.

  • Bonded by Love for Product

    Our goal is for users to receive conversational recommendations that feel like they’re coming from a friend.

    At, we believe the relationship between humans and computers is evolving from one based on browsing, tapping, and clicking to one that is conversational, personalized, and contextual. Similar to what transpired with social, mobile, and video, we understand that many digital industries will be completely disrupted by this transformation. We recognize the moral responsibility of our industry to value transparency and to respect individual privacy. We are seizing the opportunity created by the confluence of these market forces to reinvent what digital advertising will be in a future where we talk to the computers around us.

    This vision for came from an unrelated project at IBM Watson & the Weather Company where Ben, Ryan, Stephanie, and Jason worked together in 2016. We led teams that collaborated to build a weather-based digital assistant experience for the Weather Company that, once shipped, quickly grew to over 1M daily active users. Basically, three years ago, we were chat application developers that built a (relatively) successful conversational experience and we learned three important things from it:

    1. The experience more closely resembles human relationships. Our users knew our responses were automated but still, consciously or subconsciously, reacted to our weather chatbot like it was a sentient thing. They would interact with the chatbot as if it were a friend, thanking it for keeping them up to date, sharing pictures of weather events in their area, and telling it about how the weather impacted their lives.
    2. The user interactions are rich with data and content. The things people were saying and doing created a far richer data set than could be inferred from browsing, clicking, or even searching. However, as with any successful relationship, trust and transparency are critical components to the chat experiences. We hypothesized that the future of conversational UI/UX was wildly misunderstood and that tools and platforms would have to be built – similar to mobile/video/social/desktop – from a conversation-first, relationship-first perspective.
    3. There was no easy way to make $$$. We began to think about how to build a business from our experience and realized that there were no easy-to-use tools to monetize. What incentives do developers have to build experiences of these types? How would the experiences ever get better without a sustainable way to build a business? is the product we needed when we were developers to build a sustainable business. We recognized that dropping a banner ad into a chat would be a terrible idea – no one wants that: brands, users, or developers. We started to reinvent the advertising technology stack for conversation, where advertisements will be more like contextually-relevant recommendations. We believe moving the industry from display advertising to something more like a personalized recommendation will be better for everyone: users, brands, and developers.

  • Promotes from Within

    We want to hire people who will go on to become future leaders.

    While we are currently act as engineers, product managers, designers, or sales people, we view everyone, including our new hires, as potential team leaders, directors, VPs, or even CTO. The opportunities will be there as we grow and we are intentionally hiring people who can be future leaders. We strongly believe it's often better to promote from within versus bring in external hires. We want leaders that have grown up in our company’s culture and understand it better than any outsider can.

  • Cutting-Edge Technologies

    We’re reinventing the advertising technology stack for conversational interfaces.

    At, we are re-imagining many components of the digital advertising technology stack for a fast-approaching future where the interfaces to our computers are conversational. Advertising through these new interfaces will resemble personalized, contextually relevant brand recommendations. In order to deliver an advertisement through conversation, we must accurately interpret and classify what users are saying through colloquial spoken or written language. Then we have to maintain a sufficiently rich context: not just what has been said last but also what has been said in the past, what the user is interested in, what their current emotional states is, etc. We must then match this context to brand recommendations with a high degree of accuracy. Failing to do so is not just ineffective for the brands, but also potentially upsetting for the users and our developer partners.

    To solve these challenges, we use some of the most well-known machine learning and natural language processing tools, frameworks, and algorithms (RNN, Tensor Flow, etc.). But that’s not enough. We are also inventing solutions to bridge the gaps in these relatively new, evolving technologies. At, there is an opportunity to make contributions to the machine learning community and to push the ecosystem forward in meaningful ways. The very nature of the market and challenges we are facing as a company demand it.


  • Customer Comes First
  • Creative + Innovative
  • Work/Life Balance
  • Heavily Team Oriented
  • Start-to-Finish Ownership
  • Bonded by Love for Product
  • Promotes from Within
  • Cutting-Edge Technologies

Company Properties

  • B2B
  • Technical Founder(s)

Team Members

  • 3 Full-Stack Engineers
  • 1 Product Manager
  • 1 Sales Executive
  • 1 Senior Experience Designer

Vacation Policy


Tech Stack

Frontend: express, react, redux, bootstrap

Middleware: express

Backend: everything but dominantly GoLang running on AWS

Interview Process

1. 2 screening questions by email (typically answered in 2-3 sentences each)

2. Code test (~1-2 hours at home whenever convenient)

3. Initial background interview (30 minutes, phone)

4. Culture interviews (2-3, 30 minutes each, phone)

5. In person interview (1 hour with 1 or 2 team members)

6. Mini project (2-3 days, done from home when convenient, potentially compensated)

7. Final in person interviews (1 day in office with team)

8. Offer