Sales Development Representative, Bigeye

Salary not provided
Junior level
Remote in US
Bigeye

Data reliability engineering platform

Open for applications

Bigeye

Data reliability engineering platform

21-100 employees

B2BArtificial IntelligenceData storageSaaSData Analysis

Open for applications

Salary not provided
Junior level
Remote in US

21-100 employees

B2BArtificial IntelligenceData storageSaaSData Analysis

Company mission

To help customers make magic with data.

Role

Who you are

  • You have 1-2 years experience in outbound sales or business development
  • Demonstrated experience selling technology and/or software
  • The ability to learn and articulate complex subject matter
  • Adept at investigation and research
  • Natural storytelling ability
  • Curious and not afraid to challenge the status quo
  • Highly organized with strong time management skills
  • Ability to work in fast-paced, changing environment with minimal direction
  • Bias to action, hustle, proactivity, and persistence

Desirable

  • Experience working in the Data space
  • Experience working at a high-growth startup
  • Familiarity with HubSpot
  • Familiarity with Outreach

What the job involves

  • Sales Development Representatives at Bigeye are on the leading edge of the field. They are the first contact with future Bigeye customers who need Data Observability but haven’t yet discovered the solution
  • Absorb the sales development playbook and be ready to start contacting new prospects 10 days from start date
  • Focus on becoming an esteemed member of the sales team while collaborating with our Account Executives, Sales Engineers, and members of various other teams
  • Work closely with the sales team in the ongoing optimization of strategic sales approaches
  • Provide insights to, and collaborate with, marketing to ensure conversion rates are top-notch across the funnel
  • Conduct account development best practices with email, phone, and social touches using Outreach, LinkedIn Sales Navigator, and HubSpot
  • Speak credibly with prospects by developing expertise in data observability, the needs of modern data teams, and the obstacles facing decision-makers such as VPs of Engineering, Directors of Analytics, and Data Architects
  • Become well practiced at using lead generation tools to routinely extract contacts and create accurate and targeted lists of prospects
  • Extensive use of Hubspot and other tools to build and maintain accurate activity, contact, and account information of all customers and prospects

Our take

Developing machine learning models entails a high degree of data quality monitoring, which can be an expensive and time-consuming process. Bigeye solves this problem by automating data quality for operations teams.

Headed up by two Uber alumni, Bigeye tells users what data quality metrics they should collect from their data. Their technology alerts operations teams to data quality and pipeline issues, saving valuable time and money. Bigeye is now used by the likes of Udacity, Instacart and SignalFire, which is testament to the effectiveness of their solutions.

Bigeye has expanded its team and the range of products it offers off the back of Series B funding. Recent products include Deltas, which allows users to automatically compare and validate datasets. This sort of product development will be an important part of the company's ongoing success.

Steph headshot

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

Few candidates hear
back within 2 weeks

200% employee growth in 12 months

Company

Funding (last 2 of 3 rounds)

Sep 2021

$45m

SERIES B

Apr 2021

$17m

SERIES A

Total funding: $66m

Company benefits

  • Competitive compensation
  • Health coverage
  • 401k retirement plan
  • PTO
  • Remote-first culture

Company HQ

Hillside, Daly City, CA

Leadership

Previously worked as a Data Analyst at Grooveshark, and as a Product Manager at Uber.

Previously worked as a Data Engineer at One Kings Lane, and as a Staff Engineer at Uber.

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