The Strategic Account Executive will develop strategies for the Department of Defense, establish relationships with key stakeholders, and drive revenue growth through tailored solutions.
Unstructured is the industry leader in ETL for LLMs. Over the past two years Unstructured has raised more than $65M from some of the world’s most important AI investors, including Menlo Ventures, Madrona, Bain Capital Ventures, Shield Capital, Nvidia, Microsoft, Databricks, MongoDB, IBM, and more. Unstructured’s open source solution has been downloaded more than 61M times in the past year and more than 80,000 thousand companies, including 90% of the Fortune 1000, rely on Unstructured to connect their human-generated data with LLMs. Our mission is to empower businesses and the USG with actionable intelligence derived from text, images, and other unstructured sources
Must be willing to travel 30%+ of the time to our customers.
US citizenship and DOD SECRET security clearance eligibility are required, with preference for TS/SCI eligibility
We are seeking a highly motivated and experienced Strategic Account Executive to join our team, focusing specifically on the Department of Defense (DOD). In this role, you will be responsible for developing and executing strategic account plans to drive growth and revenue within the DOD sector. You will work closely with key stakeholders, understand their needs, and deliver tailored solutions that meet their objectives. This is a critical role that requires a deep understanding of the DoD landscape, strong relationship-building skills, and a proven track record of success in sales with the Government.
Key Responsibilities
- Develop and execute comprehensive account strategies to achieve revenue targets and growth objectives within the DOD sector.
- Build and maintain strong relationships with key stakeholders, decision-makers, and influencers within the DOD.
- Identify and qualify new business opportunities, leveraging your knowledge of the DOD's needs and requirements.
- Collaborate with internal teams, including sales, marketing, product, and engineering, to deliver tailored solutions that address the unique challenges of the DOD.
- Provide thought leadership and industry insights to position Unstructured as a trusted partner within the Defense community.
- Prepare and deliver compelling presentations, proposals, and demonstrations to showcase the value of Unstructured's solutions.
- Stay current on industry trends, competitive landscape, and emerging technologies relevant to the DoD.
- Monitor and report on account performance, including pipeline development, sales forecasts, and key metrics.
Qualifications
- Minimum of 5 years of experience in federal sales, with a strong focus on the Department of Defense.
- Experience selling consumption-based products into Army, Air Force, and more.
- Proven track record of achieving or exceeding sales targets and driving revenue growth within the federal sector.
- Deep understanding of the DOD landscape, including its structure, procurement processes, and key initiatives.
- Excellent relationship-building skills, with the ability to establish trust and credibility with senior stakeholders.
- Strong analytical and strategic thinking skills, with the ability to develop and execute complex account plans.
- Exceptional communication and presentation skills, with the ability to articulate complex concepts clearly and persuasively.
- Ability to work independently and collaboratively in a fast-paced, dynamic environment.
- At Unstructured, we highly value prior uniformed or civilian service.
Why Join Us
- Opportunity to work on a dynamic team and work on cutting-edge machine learning projects.
- Collaborative and innovative work environment with a focus on learning and growth.
- Impactful role in shaping the company's direction and driving innovation in unstructured data processing.
- Competitive compensation package, including benefits and stock options.
Top Skills
AI
ETL
Llms
unstructured.io San Francisco, California, USA Office
San Francisco, CA, United States
Similar Jobs
Fintech • Mobile • Software • Financial Services
Manage and scale global ESPP and full-value equity lifecycles (RSU/PSU), oversee daily plan operations and approvals, lead automation and system integrations, operationalize mobility tax sourcing, and deliver employee education on equity programs.
Top Skills:
AlteryxExcelFidelity Netbenefits (Sps)PythonSQL
Fintech • Mobile • Software • Financial Services
The Senior Principal Engineer will design and maintain cloud infrastructure, mentor teams, and drive technical innovations for SoFi's developer platform.
Top Skills:
AnsibleAWSAzureDockerGCPKubernetesTerraform
.png)
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Software • Generative AI
Lead the Machine Learning Engineering team at AKASA, focusing on improving ML capabilities, model deployment, and infrastructure development, while managing and mentoring engineers.
Top Skills:
KubernetesPythonPyTorch
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
