Full-Time

Sales Account Executive

Omnifold

Omnifold

11-50 employees

AI-driven supply chain forecasting and optimization

No salary listed

Remote in USA + 1 more

More locations: New York, NY, USA

Remote

Category
Sales & Account Management (1)
Required Skills
LLM
Sales
Supply Chain Management
Neural Networks
Forecasting
Machine Learning
CRM
Reinforcement Learning

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Requirements
  • At least 8 years of quota-carrying software or software-as-a-service sales experience, with substantial experience selling business solutions to senior executives.
  • A consistent record of exceeding quota and closing six- and seven-figure enterprise deals.
  • Experience carrying seven-figure new annual recurring revenue quotas as a hunter, including self-sourcing pipeline rather than farming a mature book.
  • Ability to sell business value, communicate and quantify return on investment, explain complex products simply, and serve as a trusted advisor to executives.
  • Ability to work independently with limited structure and adapt across multiple responsibilities.
  • Ability to collaborate and remain accountable for results in a fast-paced, high-growth environment.
Responsibilities
  • Identify, engage, qualify, and close new enterprise customers across manufacturing, distribution, consumer packaged goods, packaging, pharmaceuticals, retail, and logistics.
  • Hunt for opportunities with fast-moving consumer packaged goods, retail, and manufacturing enterprises by identifying whitespace, initiating conversations, and opening new relationships.
  • Understand customer challenges and demonstrate how artificial intelligence-driven forecasting and optimization can improve business operations.
  • Lead the full sales journey from the first call through contracting, including managing multiple stakeholders and closing six- and seven-figure deals.
  • Partner with team members across the customer lifecycle, from developing sales stories and demonstrations through successful delivery.
  • Maintain clean customer relationship management records, produce reliable forecasts, and help improve the sales process and go-to-market model.
  • Build lasting customer partnerships and contribute to company culture as a founding seller.
Desired Qualifications
  • An understanding of physical-goods businesses, especially supply chain, its buyer personas, and its value drivers, is highly desirable.
  • Start-up experience and the ability to work with limited structure, wear multiple hats, and sell novel products creatively.

Omnifold.ai uses artificial intelligence to help large and fast-growing brands and multinational companies manage supply chains and investment decisions. Its AI systems analyze data to predict demand and optimize plans for inventory, production, procurement, logistics, and marketing. The company relies on self-improving AI that learns from new data to improve forecasts and recommendations over time. By giving organizations better visibility and forward-looking guidance, Omnifold.ai aims to reduce waste, lower costs, and improve reliability in supply chains and investment outcomes. The goal is to help clients anticipate future needs, make smarter choices, and execute plans more effectively in a complex global market.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

2024

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Simplify Jobs

Simplify's Take

What believers are saying

  • Omnifold closed a $300M Series B on June 26, 2026, backed by Kleiner Perkins.
  • Not Your Mother's Hair Care cited Omnifold's forecasts beating shipments in a recent pilot.
  • Demand-planning buyers are shifting from reactive to proactive AI, expanding budget for forecasting tools.

What critics are saying

  • The company still lists only 15 employees, limiting enterprise delivery, support, and sales scale.
  • Omnifold's customer proof remains thin; public evidence centers on pilots and case studies, not logos.
  • Series B pressure after June 2026 funding demands rapid growth or investor disappointment by 2027.

What makes Omnifold unique

  • Omnifold sells purpose-built AI planning, not generic chatbots, for supply-chain forecasting and optimization.
  • Its platform learns each customer's network, ingesting internal and external signals for granular decisions.
  • Recent case studies show SKU-level gains: 64% over-forecast improvement and 25% revenue lift.

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Benefits

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

-17%

1 year growth

-17%

2 year growth

-17%
Omnifold
Mar 6th, 2026
What Not Your Mother's Haircare is Prioritizing in 2026

What Not Your Mother's haircare is prioritizing in 2026. In a recent CGT webinar Eric Falkenmayer, Senior Manager of Demand Planning at Not Your Mother's Hair Care, shared how critical trends in AI are playing out inside a fast-growing CPG brand, and where he sees the biggest opportunities ahead. CGT's latest supply chain report paints a clear picture: consumer goods manufacturers are moving from reactive to proactive stand regarding AI, and AI-powered demand forecasting is at the center of that shift. With 53% of companies planning major AI and machine learning upgrades in 2026, the question is no longer whether to adopt, it's how to apply these tools quickly where they'll drive the most value. From Reactive to Proactive When asked about the single most critical priority for supply chain leaders heading into 2026, Eric was direct: it's the shift from reacting to disruptions to making data-driven decisions ahead of them. That means connecting internal data like shipments, POS, CRM and inventory positioning with external signals and using purpose built AI to plan at a speed and scale. The "Holy Grail" of Demand Forecasting For Eric, the highest-value application of AI isn't strictly incremental accuracy gains on the base business. It's forecasting for innovation: new SKU launches, new customer expansions, and new channels where historical comps are limited. He called it "the holy grail of demand forecasting" and pointed to a recent pilot with Omnifold where forecasts based on their purpose built AI tracked significantly closer to actual shipments than the team's original projections using the same underlying data. Purpose-Built Over General-Purpose A recurring theme was the importance of choosing AI tools designed for the specific problem at hand. Eric drew a sharp distinction: a large language model like ChatGPT is built for conversation, and autonomous driving AI is built to navigate roads safely: you wouldn't swap them. Supply chain forecasting demands the same purpose built approach. Alignment between a tool's design and the problem it solves was a key factor in Not Your Mother's decision to partner with Omnifold. Watch the Full Conversation To hear Eric's full perspective including a detailed walkthrough of Demert's IBP process and a discussion on AI adoption gaps and sustainability visit and subscribe to the Omnifold YouTube channel.