Full-Time
Government Account Executive
Mid-Career
Posted on 2/4/2026
SAS
10,001+ employees
Analytics, BI, and data management software
No salary listed
Washington, DC, USA + 3 more
More locations: Tennessee, USA | Arkansas, USA | Maryland, USA
Remote
Bachelor's
 Sales & Account Management (1) |
|---|
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- Bachelor's degree, preferably in Business, Marketing, MIS, or other relevant discipline.
- Requires a minimum of five years of relevant Sales experience.
- Must have experience selling into state and local Government agencies and Education in Tennessee and/or Maryland.
- Knowledge of basic sales techniques; knowledge of hardware and/or software acquisitions cycles and buying influences.
- Ability to analyze and evaluate territory dynamics and develop a sales plan; ability to communicate technical and business concepts and relate them to SAS applications and user needs; ability to work independently and as part of a team.
- Ability to travel up to 50%.
- Sell software, solutions, and services to current and prospective customers by leveraging sales opportunities to acquire, grow, and retain accounts within your assigned territory.
- Prospect within assigned accounts to uncover business needs, qualify opportunities, and determine resources required for success.
- Implement territory and account management strategies, identifying high-potential accounts, advancing opportunities through the sales cycle, and forecasting timelines to close business.
- Collaborate with pre-sales resources, virtual sales teams, account managers, and executives to ensure timely responses to qualified, high-revenue leads and strategic account development.
- Prepare quotations, proposals, and contracts, working cross-functionally to finalize agreements and set delivery schedules.
- Follow up with customers to monitor satisfaction, uncover additional revenue opportunities, and nurture ongoing relationships.
- Utilize company account planning tools and sales methodologies (such as BASE or Strategic Selling) for pipeline management, forecasting, and identifying accounts with strong close potential.
- Apply knowledge of company marketing goals, industry trends, and SAS applications to assess account needs and recommend appropriate solutions.
- Develop and execute action plans to close business for high-potential accounts and further expand relationships within the territory.
- Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do.
- Sales Planning: Develops and executes strategic sales plans to achieve revenue targets and drive business growth.
- Customer Centricity: Prioritizes customer needs and delivers tailored solutions that enhance satisfaction and loyalty.
- Relationship Building: Cultivates strong, trust-based relationships with clients and stakeholders to foster long-term partnerships.
- Obstacle Navigation: Proactively identifies and overcomes challenges to maintain momentum and deliver results.
- Insight Driven Value Creation: Leverages data and market insights to craft compelling value propositions that address client pain points.
- Self Motivation: Demonstrates initiative and drive to exceed goals independently in a fast-paced, target-driven environment.
SAS provides analytics, business intelligence, and data management software and services to organizations across government, business, and academia. Its products cover data mining, statistical analysis, forecasting, and optimization, and are sold as software licenses, with accompanying training, consulting, and support services. The platform typically helps users analyze large data sets and turn insights into decisions through a full analytics lifecycle—from data preparation to modeling and deployment. SAS differentiates itself through its long history (founded in 1976) and a broad, enterprise-grade suite with extensive services and a global presence that serve many of the world’s largest organizations. Its goal is to help customers become data-driven by turning data into actionable insights that improve decision making and outcomes.
Company Size
10,001+
Company Stage
Grant
Total Funding
$1M
Headquarters
Cary, North Carolina
Founded
1976
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Simplify's Take
What believers are saying
- SAS and Swiss Re launched catastrophe-risk underwriting tools on July 29, 2026.
- Nevada DSS chose SAS in June 2026 and found $130,000 monthly overpayments.
- SAS launched Viya Copilot and MCP Server at SAS Innovate in April 2026.
What critics are saying
- SAS cut 300 jobs in 2026, signaling pressure to shrink costs and refocus.
- SAS exited mainland China in October 2025, shrinking direct reach across Asia.
- Microsoft, Databricks, and Salesforce keep commoditizing analytics, squeezing SAS margins by 2027.
What makes SAS unique
- SAS Viya embeds governed AI assistants across analytics workflows, not standalone chatbots.
- SAS sells vertical accelerators for insurance, healthcare, and government, shortening deployment cycles.
- SAS integrates decisioning, data management, and model governance in one enterprise platform.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Health Savings Account/Flexible Spending Account
Unlimited Paid Time Off
Flexible Work Hours
Remote Work Options
Paid Vacation
Paid Sick Leave
Paid Holidays
Sabbatical Leave
Hybrid Work Options
Stock Options
Company Equity
401(k) Retirement Plan
401(k) Company Match
Performance Bonus
Profit Sharing
Employee Stock Purchase Plan
Relocation Assistance
Employee Referral Bonus
Student Loan Assistance
Parental Leave
Family Planning Benefits
Fertility Treatment Support
Adoption Assistance
Childcare Support
Elder Care Support
Pet Insurance
Bereavement Leave
Professional Development Budget
Conference Attendance Budget
Training Programs
Tuition Reimbursement
Professional Certification Support
Mentorship Program
Wellness Program
Mental Health Support
Gym Membership
Commuter Benefits
Meal Benefits
Phone/Internet Stipend
Home Office Stipend
Legal Services
Employee Discounts
Company Social Events
Growth & Insights and Company News
6 month growth
↑ 1%1 year growth
↑ 4%2 year growth
↑ 4%SAS, a global leader in data and AI, has partnered with reinsurance provider Swiss Re to help insurers strengthen resilience through AI-driven risk intelligence. As part of the collaboration, Swiss Re will combine its CatNet natural catastrophe risk intelligence with SAS Insurance Life Cycle Accelerator, enabling insurers to incorporate predictive hazard insights into underwriting, pricing and portfolio management workflows. The partnership addresses mounting pressure from climate-driven "secondary perils" such as floods, hailstorms and wildfires. According to Swiss Re Institute, 99.9% of insured catastrophe losses in the United States in 2025 originated from secondary peril events. The combined solution is expected to drive a 95% increase in decisioning efficiency and a 50% boost in modelling process efficiency, allowing underwriting teams to review 40% more risks with the same manpower.
SAS Institute, a North Carolina-based analytics software provider, has cut 300 positions across the company. The layoffs, implemented last week, affect employees globally across SAS's 400-plus offices worldwide, with its main campus located in Cary. The company stated the cuts align resources with long-term strategic priorities whilst continuing investment in research and development, sales and cloud operations. Affected employees can apply for other open positions or access transition services. SAS currently has several hundred vacancies worldwide. The company emphasised its focus on aligning resources with customer needs and sustainable growth, but declined to speculate on further changes.
Nevada's Division of Social Services has selected SAS to help reduce error rates in its Supplemental Nutrition Assistance Program using AI technology. The state will deploy SAS Payment Integrity for Food Assistance to avoid potential penalties under new federal requirements mandating SNAP error rates below 6%. In the first two months of implementation, caseworkers have already identified $130,000 in monthly overpayments. The solution uses AI and machine learning to analyse every active SNAP case, providing monthly risk scoring to help staff prioritise reviews based on error likelihood and dollar amounts at risk. Nevada faces a potential $52 million penalty if error rates exceed the federal threshold. Beginning in 2027, states exceeding the 6% error rate must pay between 5% and 15% of total SNAP benefits, with some penalties potentially reaching $1 billion annually.
Insurance fraud through AI-generated images is rapidly escalating, with fraudsters using artificial intelligence to create or alter photos depicting crash scenes, receipts and property damage. The threat costs US consumers an estimated $308.6 billion annually, with one in 10 property-casualty insurance losses including fraud. Only 7% of anti-fraud professionals say their organisations are prepared to detect AI-charged fraud, according to a survey by the Association of Certified Fraud Examiners and SAS. To combat this, SAS has developed a synthetic image detection solution combining computer vision, optical character recognition and large language model reasoning. The system provides automated content screening, multi-signal fraud detection and risk-based decisioning. It can identify subtle manipulations that escape human detection and extends beyond insurance to banking and government sectors.
A global study of over 1,600 small and midsized businesses across 28 countries found that nearly 70% remain in experimental or opportunistic stages of AI maturity, despite growing investment in AI tools. The research, commissioned by SAS and IDC, reveals a significant gap between AI aspirations and organisational readiness. The report identifies key obstacles preventing SMBs from scaling AI effectively, including fragmented data and tools, isolated initiatives, limited skills and insufficient governance. Whilst banking leads on AI strategy and governance, most sectors struggle to transform pilots into organisation-wide impact. Government organisations face legacy system challenges, whilst healthcare and life sciences contend with data complexity and regulatory demands. The study introduces an AI Readiness Index framework and SAS has launched an accompanying calculator to help organisations assess their maturity and identify improvement areas.