Two Dots

AI underwriting automation and fraud prevention

Enterprise Account Executive

$200K - $250K / 0.10% - 0.20%
Location
Los Angeles, CA, US
Job Type
Full-time
Experience
3+ years
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Henson Orser
Henson Orser
Founder

About the role

Two Dots is using AI to remake the way consumer underwriting is done, starting with residential real estate. Most consumer’s most important financial information is locked up in documents, and we’ve built technology that is able to harness this data to make better lending decisions.  We’ve coupled this underwriting agent with advanced document and identity anti-fraud, and we’re working toward democratizing sophisticated consumer underwriting for all.

After raising our Series A, we are growing rapidly! And could use your expertise to help us become the new standard in consumer underwriting.

Please note that we require all full-time employees to work from our office in Venice Beach, CA.

Role overview:

Reporting directly to our Co-Founder and CEO, Two Dots is looking for an Enterprise Account Executive to join our small, but growing team. In this role you will oversee the entire sales cycle, from prospecting through close, and have the opportunity to impact the Two Dots sales process for the long term. The ideal candidate will be organized, ambitious, and have ideally sold >$100k ACV enterprise software contracts.

Key Responsibilities:

  • Manage the full sales cycle from land to expand - building your own GTM strategy and lead generation, qualifying, conducting demos, closing, and upselling
  • Spearhead the growth and adoption of Two Dots by overachieving quota
  • Provide clear visibility on revenue performance by actively managing a pipeline of opportunities and monthly forecasts
  • Maintain up-to-date knowledge of our product and processes
  • Customize and deliver product demonstrations with a focus on your customer’s unique needs

Desirable Traits:

  • 2+ years of full-cycle sales experience in a hunting role or a founding role of a fast-paced, B2B SaaS technology company

  • Ownership mentality within all aspects of your work

  • Demonstrable track record of above target performance, especially in a startup environment

  • Experience selling six-figure deals is preferred

  • Excellent communication, presentation, negotiation and interpersonal skills, capable of explaining complex operational information in an understandable way

  • Ability to thrive in ambiguity, with a proven desire to build out new and existing processes

  • Hungry for personal and professional growth and ready to scale with Two Dots!

What you get in return:

  • An opportunity to revolutionize the real estate leasing industry and own projects that make a tangible impact
  • A chance to help build a company from the ground up, from a beautiful office right on the water in Venice Beach, CA
  • An environment with a work culture that is based on trust, ownership, flexibility and a growth mindset
  • A competitive salary, comprehensive equity package, and substantial benefits

Closing:

Two Dots is an equal opportunity employer. We aim to build a workforce of individuals from different backgrounds, with different abilities, identities, and mindsets. Even if you do not meet all of the qualifications listed above, we encourage you to apply!

Compensation is variable and is subject to a candidate’s personal qualifications and expectations. For this role, we offer the following OTE range with a 50/50 split, in addition to an equity package and full benefits: $200k - $250k per year.

About the interview

Recruiter Phone Screen

Hiring Manager Screen with CEO

Short Exercise and Presentation

Onsite at Office in Venice Beach

About Two Dots

Two Dots is working to remake the way lending is done using AI, starting with real estate. Our founding team are Goldman, Google, and Blend alum, and we're always interested in talking with other extremely intelligent and hard working people.

Two Dots
Founded:2022
Team Size:10
Location:Los Angeles, CA
Founders
Henson Orser
Henson Orser
Founder
Max Ponte
Max Ponte
Founder