Account Executive at Adaptive

Massapequa, New York, United States

Adaptive Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Machine Learning, TechnologyIndustries

Requirements

  • 4–5+ years of experience in a commercial role (e.g. Account Executive) selling technical products to enterprise customers
  • Experience selling machine learning or data products to senior technical stakeholders (e.g., VPs of ML, Data Science, or Engineering)
  • Strong track record of exceeding performance targets and/or KPIs, including annual quotas of $1M+
  • Proven ability to quickly grasp and communicate technical concepts
  • Collaborative mindset with the ability to work cross-functionally across technical and non-technical functions
  • A Bachelor’s degree in Business, Marketing, Computer Science, or a related field
  • Passionate about the future of generative AI, and eager to build foundational technology for training specialized models with reinforcement learning

Responsibilities

  • Own and execute end-to-end sales cycles—from outbound and discovery to negotiation, and close—with new enterprise accounts
  • Design and execute innovative sales strategies to exceed revenue goals, including identifying new use cases, customer segments, and market expansion plays
  • Build trusted relationships with senior stakeholders across AI, data, and Engineering while navigating complex, multi-threaded enterprise sales & procurement processes
  • Partner with our research and engineering teams to tailor technical demos, build pilot proposals, and craft personalized pitches that highlight Adaptive ML’s value
  • Proactively source and qualify new opportunities through your own outbound efforts and in collaboration with our BDR team
  • Track pipeline activity and deal progression; share insights on win/loss trends to refine GTM strategy and continuously improve sales operations through updated playbooks, templates, and processes
  • Provide ongoing feedback to Product and Engineering based on customer needs, helping to shape roadmap and refine positioning
  • Represent Adaptive ML at industry events, customer workshops, and strategic briefings

Skills

Enterprise Sales
Full Sales Cycle
Outbound Prospecting
Discovery Calls
Negotiation
Contract Closing
Technical Sales
GTM Strategy
Pilot Design
Revenue Growth

Adaptive

Financial management platform for construction businesses

About Adaptive

Adaptive.build offers a financial management platform designed for the construction industry, featuring automated bookkeeping, cash flow management, vendor compliance, and real-time budgeting integrated with Quickbooks. It helps builders and remodelers manage job costs, maximize profits, and gain project visibility by simplifying tasks like bill payments and budget tracking. Unlike competitors, Adaptive.build focuses specifically on the unique financial challenges of construction projects, providing a comprehensive solution that saves time and improves accuracy. The company's goal is to enhance financial performance for its users through efficient management tools, operating on a subscription model.

New York City, New YorkHeadquarters
2022Year Founded
$25.5MTotal Funding
SERIES_ACompany Stage
Consulting, Financial ServicesIndustries
51-200Employees

Benefits

Equity compensation
401k match

Risks

Procore Technologies' FedRAMP authorization could threaten Adaptive's market share.
The slow payment cycle in construction may impact Adaptive's financial stability.
Reliance on Quickbooks integration poses risks if service disruptions occur.

Differentiation

Adaptive offers automated bookkeeping and cash flow management for construction businesses.
The platform integrates with Quickbooks for streamlined financial operations.
Adaptive allows users to create a draw with cost backup in under a minute.

Upsides

Adaptive closed a $19M Series A to enhance construction finance with AI.
The platform addresses slow payments, a $273 billion issue in construction.
Integration with AI tools can improve budgeting and forecasting accuracy.

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