Bigbear.ai

Operational AI platform for decision support

Account Executive

Account ExecutiveConfirmed live in the last 24 hours

Full-timeRemote in USA

About the Job

Requirements

At least 5 years of work in a shipyard, preferably in operations, production, planning, or engineering.
At least 5 years of quota-carrying sales in a relevant industry such as shipbuilding, maritime, defense, heavy manufacturing, or industrial software, with a record of meeting or exceeding targets.
Process expertise in mapping how work flows through a shipyard and identifying losses in time, labor, and capacity.
A track record of building credibility and rapport with shipyard leadership, from production supervisors to executives.
Working knowledge of generative artificial intelligence and its application in operational settings.
Working knowledge of discrete-event simulation or similar simulation methods and how they support planning decisions.
Strong written and spoken communication, including proposal writing and executive presentations.
Engineering or naval architecture experience.
A bachelor's degree, although equivalent experience may be considered in lieu of a degree.
Ability to travel to customer sites.

Responsibilities

Build and manage a pipeline of shipyard and ship repair accounts from first meeting through signed contract.
Visit customer sites, learn how each yard operates, and identify operational problems worth solving, including capacity, labor loading, scheduling, facility planning, and rework.
Translate customer problems into a scoped Shipyard AI engagement with a clear business case and measurable outcomes.
Run discovery sessions, demonstrations, and working sessions with production, planning, engineering, and executive stakeholders.
Explain how generative artificial intelligence and discrete-event simulation apply to shipyard decisions in clear terms and without overselling.
Work with the delivery team and developers to shape solutions, write proposals, and price work.
Maintain customer relationships after the sale and grow accounts into follow-on work.
Maintain an accurate forecast and pipeline in the customer relationship management system.
Represent BigBear.ai at industry events and customer sites.

Desired Qualifications

Experience in naval shipbuilding, ship repair, or a naval maintenance availability environment.
Existing relationships with US or international shipyards.
A background in industrial engineering, naval architecture, or marine engineering.
Experience selling software, simulation, or analytics to industrial customers.
Hands-on use of simulation tools or generative artificial intelligence tools.
Experience with complex, multi-stakeholder sales cycles lasting six months or longer.
Ability to obtain a US security clearance.

Residency

All applicants must currently reside in the United States

Overview

BigBear.ai builds AI and simulation software for defense, national security and critical industry. Shipyard AI is our planning, simulation and decision-support platform for shipbuilding and ship repair. It is in use at Tier 1 US shipyards and at all three of Canada's major shipbuilders, where yards use it to plan capacity, sequence work, and test facility and schedule decisions before committing money or labor to them.

The role:

We're hiring an Account Executive to sell Shipyard AI to shipbuilders and ship repair yards in the US and abroad. This is a seller who has worked in a shipyard. You've walked the waterfront, sat in the production meetings, and know why a schedule slips. Customers should see you as someone who understands their operation first and a salesperson second.

You'll own a set of accounts end to end: finding the problem, scoping the work, building the business case, and closing. You'll work alongside our delivery team and developers, and you'll be expected to carry a technical conversation about generative AI and simulation with yard leadership, planners and engineers.

This is a base + commission role (published salary range is base).

What you will do

Build and work a pipeline of shipyard and ship repair accounts, from first meeting to signed contract
Get on site, learn how each yard actually runs, and pin down the operational problems worth solving: capacity, labor loading, schedule, facility planning, rework
Translate those problems into a scoped Shipyard AI engagement with a clear business case and measurable outcomes
Run discovery sessions, demos and working sessions with production, planning, engineering and executive stakeholders
Explain how generative AI and discrete-event simulation apply to a yard's real decisions, in plain terms, without overselling
Work with our delivery team and developers to shape solutions, write proposals and price work
Keep relationships going after the sale and grow accounts into follow-on work
Keep an accurate forecast and pipeline in the CRM
Represent BigBear.ai at industry events and customer sites

What you need to have

5+ years working in a shipyard, preferably in operations, production, planning or engineering
5+ years of quota-carrying sales in a relevant industry (shipbuilding, maritime, defense, heavy manufacturing, or industrial software) with a proven record of hitting or beating targets
Process expertise: you can map how work flows through a yard and spot where time, labor and capacity are lost
A track record of building credibility and rapport with shipyard leadership, from production supervisors to executives
Working knowledge of generative AI and how it's applied in an operational setting
Working knowledge of simulation (discrete-event or similar) and how it supports planning decisions
Strong written and spoken communication, including proposals and executive presentations
Engineering or Naval Architecture experience required
Bachelor's degree, equivalent experience may be considered in lieu of a degree
Ability to travel to customer sites

What we'd like you to have

Experience in naval shipbuilding, ship repair or a naval maintenance availability environment
Existing relationships with US or international shipyards
Industrial engineering, naval architecture or marine engineering background
Experience selling software, simulation or analytics into industrial customers
Hands-on use of simulation tools or generative AI tools
Experience with complex, multi-stakeholder sales cycles of six months or longer
Ability to obtain a US security clearance

Pay transparency

Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.

About BigBear.ai

BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai’s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.

BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.

About the Company

Bigbear.ai

Operational AI platform for decision support

BigBear.ai builds operational AI software that helps organizations improve decision-making, cyber operations, and business agility. Its platform combines AI-driven analytics on an organization’s data with external inputs to give a full, real-time view of the environment, uncover new insights, and produce accurate predictions. The product works by integrating data from internal systems and external sources, applying advanced analytics to surface actionable intelligence, and enabling fast, informed actions in complex settings. What sets BigBear.ai apart is its depth of expertise in operational AI and its ability to optimize existing data with additional inputs, delivering data mining and predictive capabilities that go beyond traditional intelligence tools. Its goal is to help clients succeed in mission-critical environments—such as government intelligence, healthcare, and manufacturing—by improving efficiency, risk management, and operational performance.

Company size: 501-1,000
Company stage: IPO
Headquarters: Tysons, VA
Founded: 2020

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