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Loka

Senior Sales Lead

Reposted 19 Days Ago
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In-Office
Denver, CO, USA
150K-200K Annually
Senior level
Easy Apply
In-Office
Denver, CO, USA
150K-200K Annually
Senior level
Seeking a Technical Sales Lead with an engineering background to manage sales processes, support clients, and leverage technical solutions.
The summary above was generated by AI

At Loka our teams launch meaningful projects across a wide range of industries. In the last year we helped advance the world’s #1 AI reading tutor, transform rundown homes into green machines and accelerate novel drug discovery to fight leukemia. And we did it all while working 100% remotely and enjoying every other Friday off 😎
We’re seeking experienced technical sales reps or candidates with a strong technical background combined with customer-facing experience. You should take genuine joy in helping businesses succeed by diagnosing cloud architecture challenges and advising the most appropriate technical solutions. Your sales training is more important than your engineering and/or cloud account management experience: The former builds the kind of knowledge you’ll need to hit the ground running; the latter you’ll earn along the way.
As an AWS Generative AI Partner, we offer a unique platform to leverage your expertise and contribute to a vast array of innovative projects. A strong drive to compete and close deals is essential, but the ability to thrive in a team-driven environment will make you a great fit.

Responsibilities

  • Lead all aspects of the sales process (prospecting, sales meetings, company introductions and presentations, proposals, negotiations and account management).
  • Build, nurture and maintain relationships with potential clients and partners, including in-person meetings, lunches, conferences etc.
  • Foster AWS relationship with existing and new teams to generate your own pipeline
  • Own the pre-sales journey with Loka prospects, with the support of the engineering team.
  • Understand the client’s business environment and communicate Loka’s value proposition clearly. Your ability to comprehend how software products are built—beyond just memorizing selling points—is crucial.
  • Maintain current sales performance coaching software industry and product knowledge.
  • Conduct market research to generate new business opportunities.
  • Support stakeholders with data and asset resources.
  • Manage projects for various sales initiatives.

Requirements

MUST HAVE

  • 5+ years of sales experience in professional services or adjacent product selling experience
  • Experience in environments with exposure to data infrastructure, machine learning and/or cloud architectures
  • Experience working with cloud services, preferably with AWS, and strong understanding of core AWS services
  • Ability to travel to meet clients and attend industry events up to 25% of the month
  • Ability to prioritize multiple tasks with varying deadlines and adapt to changes in and market
  • Excellent communication and interpersonal skills
  • Strong organizational skills
  • Eligible to work in the US without sponsorship

STRONGLY PREFERRED

  • Analytical and problem-solving skills and aptitude for learning quickly
  • Experience working for a cloud provider or cloud consulting partner
  • Previous experience in technical sales
  • Attention to detail and comfort within fast-paced work environment
  • US working hours, with emphasis on morning meetings for San Francisco-based candidates

Benefits

  • Salary range $150,000 to $200,000
  • Every other Friday off, i.e. 26 extra days off a year. Our team calls it a life-changing benefit. We think you’ll agree.
  • 100% remote. Work where you feel most comfortable and productive. 
  • Medical, dental and vision coverage, life insurance and disability
  • 401k with up to 4% employer matching 
  • LokaLabs™: Apply moonshot technologies to overlooked societal challenges in our internal incubator.
  • Continuous Learning Support
  • Paid vacation days, sick days and local holidays

Please submit your CV in English. 

Top Skills

Amazon Web Services
Cloud Architecture
Data Infrastructure
Machine Learning

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