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Full-Time

Senior Account Executive

Posted on 9/5/2024

Coactive

Coactive

11-50 employees

Unlocks insights from visual data using AI

Data & Analytics
Enterprise Software
AI & Machine Learning
Entertainment

Compensation Overview

$157.5kAnnually

+ Equity Grants

Senior, Expert

San Francisco, CA, USA + 1 more

Category
Field Sales
Sales & Account Management
Required Skills
Sales
Communications
AWS
Requirements
  • 8+ years track record of meeting and exceeding revenue targets for enterprise-level deals, including selling technical SaaS solutions to technical stakeholders with multiple levels of decision-makers
  • Prior experience as a member of an early-stage start-up or selling a category-creating product in a new business acquisition role
  • Ability to multi-thread organizations, map key stakeholders, collaborate with solutions and sales engineers, and co-sell with partners
  • Strong written and verbal communication skills, attention to detail, and a history of managing complex procurement processes
  • A passion for learning and a desire to have a say in where our product goes and what markets we will serve
Responsibilities
  • Build and iterate on the existing sales motion, driving towards a repeatable motion.
  • Work collaboratively with key team members to identify a target list of Enterprise-Level Accounts from which to prospect and generate opportunities
  • Scope, quote, negotiate, and close inbound & outbound opportunities
  • Forecast & manage sales activity & pipeline to meet revenue targets & company goals
  • Build compelling business cases & ROI models to present to executive-level stakeholders
  • Strategize with Sales Engineering team to identify, document, and address customer pain points through consultative engagements
  • Be an internal advocate for prospects, relaying their feature requests and feedback to Engineering and Product
  • Evangelize Coactive through product demonstrations, industry events, and networking with key partners, including AWS, Databricks, and NVIDIA.
  • Shape sales best practices and company culture as we grow.

Coactive.ai specializes in extracting analytics and insights from unstructured image and video data. The platform connects to clients' visual data through secure data lake connections or allows uploads via an API. Users can query their visual data using SQL and other familiar big data tools, making it accessible without requiring deep technical skills. Coactive addresses the challenge of incomplete metadata by using advanced data-centric AI and deep learning techniques to generate accurate metadata, facilitating easier analysis. The company likely operates on a subscription or usage-based pricing model, providing businesses with essential tools to interpret visual data for informed decision-making.

Company Stage

Series B

Total Funding

$39.3M

Headquarters

San Jose, California

Founded

N/A

Growth & Insights
Headcount

6 month growth

20%

1 year growth

20%

2 year growth

20%
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Simplify's Take

What believers are saying

  • Securing $30M in Series B funding indicates strong investor confidence and provides substantial resources for growth and innovation.
  • Partnerships with major entities like Comcast, NBCUniversal, and Sky through the LIFT Labs Generative AI Accelerator highlight Coactive's potential for high-impact collaborations.
  • The backing from prominent investors like Andreessen Horowitz and Bessemer Venture Partners further validates Coactive's market potential and technological prowess.

What critics are saying

  • The niche focus on visual data analytics may limit market size compared to more generalized data analytics platforms.
  • Rapid growth and scaling could strain resources and operational capabilities, potentially impacting service quality.

What makes Coactive unique

  • Coactive.ai specializes in extracting insights from unstructured visual data, a niche often overlooked by broader data analytics platforms.
  • The platform's ability to generate precise metadata using advanced deep learning techniques sets it apart from competitors who struggle with incomplete or inaccurate metadata.
  • By allowing users to query visual data using familiar tools like SQL, Coactive reduces the technical barrier to entry, making advanced analytics accessible to non-experts.