Enterprise Account Executive

Posted 15 Days Ago
Be an Early Applicant
Hiring Remotely in UK
Remote
1-3 Years Experience
Big Data
The Role
The Enterprise Account Executive plays a crucial role in driving sales and fostering relationships with new & existing clients by promoting AI-driven data operations solutions and achieving revenue targets.
Summary Generated by Built In

LIFE AT UNRAVEL

Ignited Minds defining the way & shaping the future of data operations!

If people around you constantly use phrases like - “That's absolutely insane”, “A little over-ambitious, don't you think?”, “That's crazy talk”, “Let’s fail to succeed” around you, we should probably talk!


HERE'S THE DEAL

We’re a bunch of inspired, talented folks working to elevate the landscape of data operations and touch millions of lives while we’re at it. Our open culture prioritizes transparency, flexibility and helps us deliver on our ambitious goals. If you share our enthusiasm for leveraging technology to improve lives and look forward to working with the best in the industry, come be a part of the madness!


PERKS & BENEFITS

This is just the tip of it all – working with us can be extremely rewarding! Here’s why:Autonomy & Responsibility goes hand in handCompetitive rewards package with Stock optionsTop tier health benefitsBest in - class Technology Amazing Peers & Learning Mentors Work Hard - Play Harder Your contributions will never go unnoticed 


OUR CULTURE

We think that you can do your best with the freedom to experiment, sense of ownership of your work, license to fail, and when you have peers who care just as much as you about their work.

We prefer to mingle with the community through meetups and conferences on topics as broad as daylight. 

And at the end of the day, we accept that we are humans, fallible to error, learning through errors together. After all, there's comedy in error too.

Role Description

  • The Enterprise Account Executive for an AI-powered Data Ops company plays a crucial role in driving sales and fostering relationships with new & existing clients. This position involves understanding client needs, promoting AI-driven data operations solutions, and achieving revenue targets. The ideal candidate will possess strong sales acumen, excellent communication skills, and a deep understanding of AI technologies and data operations

Skills Required

  • Bachelor's degree in Business Administration, Computer Science, or related field
  • Proven track record of success in startup sales environments, with experience in selling enterprise based AI-powered solutions or data operations platforms preferred
  • Strong understanding of AI technologies, data management, and data operations methodologies
  • Excellent communication, negotiation, and presentation skills
  • Ability to work independently and collaboratively in a fast-paced, dynamic environment
  • Proficiency in CRM software
  • Familiarity with cloud data platforms (e.g. Databricks, Snowflake, Azure, GCP, AWS) and big data technologies are a plus

Roles and Responsibilities

  • Sales and Revenue Generation: Drive sales growth by identifying new business opportunities with new logos and developing strategies to upsell and cross-sell AI-powered data ops solutions
  • Client Relationship Management: Cultivate and maintain strong relationships with clients. Serve as the primary point of contact for client inquiries, concerns, and support needs
  • Needs Assessment: Conduct comprehensive discovery to understand client requirements and challenges. Customize solutions to address client needs effectively, leveraging AI technologies and data operations methodologies
  • Product Knowledge: Develop an in-depth understanding of the company's AI-powered data ops platform and services. Stay abreast of industry trends, competitor offerings, and emerging technologies in AI and data operations
  • Proposal Development: Prepare and deliver compelling proposals, quotes, and presentations to clients. Clearly articulate the value proposition of the company's solutions and address client objections and concerns
  • Collaboration: Collaborate closely with internal teams, including data scientists, engineers, and customer success managers, to ensure the successful delivery and implementation of solutions. Coordinate efforts to meet client expectations and drive customer satisfaction
  • Pipeline Management: Manage and maintain accurate records of sales activities, opportunities, and forecasts in the CRM system. Proactively manage the sales pipeline to meet or exceed revenue targets and objectives
  • Market Intelligence: Stay informed about market dynamics, customer needs, and competitive landscape within the AI-powered data ops industry. Provide feedback to the product development and marketing teams to inform product roadmap and go-to-market strategies

WHY JOIN US?

We pride ourselves in building products and services that enrich and empower the way organizations use data. Our core values support the culture we build every day, guiding what we do, why we create and who we hire.

Push boundaries - Think differently. We love to innovate, find new ways of doing things and leverage technology to simplify everything we do

Entrepreneurial spirit - Bring a hunger to learn. Set goals and plans to achieve them. Be brave, remove barriers and let your curiosity guide you.

Do great things, fast - We’re committed to executing flawless solutions, fast

We before me - We leave our egos at the door. We celebrate wins together and learn from the losses as a team

Communicate - The best ideas come out when we discuss them with like-minded people. Never fear speaking up! That’s how we get the best product out.

Sharing is growing - We never shy away from sharing a good idea. Every idea that helps to add a new feature or product is encouraged here!

The Company
Palo Alto, CA
96 Employees
On-site Workplace
Year Founded: 2013

What We Do

Unravel is built by data experts from the ground up to tackle unique challenges in modern data systems such as Spark, Kafka, Presto and more. The world's most innovative companies use Unravel to make data live up to its promise.

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