Full-Time

Inside Sales Account Representative

Financial Services

Updated on 8/23/2026

Deadline 8/14/27
SAS

SAS

10,001+ employees

Analytics, BI, and data management software

No salary listed

No H1B Sponsorship

Cary, NC, USA

Hybrid

Hybrid role in North Carolina.

Bachelor's

Category
Sales & Account Management (1)
Required Skills
CRM

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Requirements
  • A bachelor's degree, preferably in Business, Marketing, Computer Science, or a related field.
  • Three to five years of Inside Sales, Prospect Development, or customer-facing commercial experience, including five years of sales or telesales experience in an industry-related environment.
  • The ability to prospect quality opportunities and manage multiple sales engagements simultaneously.
  • Strong written, verbal, and interpersonal communication skills, including the ability to convey business and technical concepts by phone.
  • Experience using customer relationship management tools and working with sales performance metrics.
  • The ability to work independently while collaborating effectively within a team-oriented sales environment.
  • Legal authorization to work in the United States without requiring current or future employment visa sponsorship.
Responsibilities
  • Drive incremental revenue by managing and expanding a defined territory of current and prospective customers through inbound and outbound sales activities.
  • Qualify, prioritize, and manage sales opportunities while building and maintaining a healthy pipeline to achieve revenue targets.
  • Collaborate with field sales, marketing, and internal partners to execute territory and account plans.
  • Establish and maintain relationships with multiple buying stakeholders to uncover software, services, and training needs.
  • Prepare standard quotes, proposals, and sales documentation, working cross-functionally to support contract finalization and fulfillment.
  • Accurately forecast sales activity and update customer and opportunity information in internal customer relationship management systems.
  • Follow applicable security policies and processes to support the organization's secure software development goals.
  • Lead sales discussions with key decision-makers by uncovering needs, providing insights, addressing objections, building consensus, and advancing opportunities through the buying process.
  • Establish measurable performance objectives, monitor progress, and drive continuous improvement and business results.
  • Develop and execute strategic sales plans that drive revenue growth and support organizational objectives.
  • Build trust-based relationships with clients and stakeholders, prioritize customer needs, and deliver tailored solutions that enhance satisfaction, loyalty, and long-term partnerships.
  • Use data, market intelligence, and customer insights to create value propositions that address client challenges and differentiate solutions.
Desired Qualifications
  • Previous sales experience with enterprise Financial Services companies or previous sales experience at a software company.

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 Jobs

Simplify's Take

What believers are saying

  • Nevada selected SAS in June 2026, and two months found $130,000 overpayments.
  • Swiss Re partnership on catastrophe intelligence deepens SAS's insurance footprint in 2026.
  • SAS Innovate 2026 added Viya Copilot, agentic AI, and Quantum Lab for 2026 rollout.

What critics are saying

  • SAS cut 300 jobs in June 2026, signaling pressure while it reshapes around cloud.
  • Legacy analytics rivals and hyperscalers commoditize SAS's core tools before Viya adoption scales.
  • If Viya fails to replace license revenue, SAS becomes a shrinking enterprise maintenance vendor.

What makes SAS unique

  • SAS Viya embeds governed AI assistants across analytics workflows, announced April 28, 2026.
  • SAS MCP Server exposes analytics to external agents without bypassing enterprise controls.
  • SAS still wins regulated workflows, including Nevada SNAP integrity and Swiss Re underwriting.

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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

Headcount

6 month growth

0%

1 year growth

4%

2 year growth

3%
PR Newswire
Jul 29th, 2026
SAS and Swiss Re partner to integrate AI-driven catastrophe risk intelligence into insurance underwriting and pricing

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.

Yahoo Finance
Jun 27th, 2026
SAS Institute cuts 300 jobs to align with cloud and R&D priorities

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.

PR Newswire
Jun 24th, 2026
Nevada uses SAS AI to cut SNAP errors, finds $130K in overpayments in two months

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.

PR Newswire
May 28th, 2026
Insurers battle $309B fraud crisis with AI tools to detect fake accident photos

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.

PR Newswire
May 14th, 2026
70% of SMBs stuck in early AI adoption despite growing investment, SAS study finds

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.