Enterprise Sales Director (PNW) Full Time NEW

This role is a high-impact enterprise sales leadership position focused on driving new business growth across large, complex organizations in the Pacific Northwest region. It combines strategic account development with hands-on execution across full-cycle sales, from prospecting through deal closure and expansion. The position operates in a fast-growing, highly technical data and analytics environment where solutions are deeply embedded in customers’ modern data stacks. The ideal candidate will engage senior stakeholders, including data leaders and executives, helping them solve critical challenges around data transformation, governance, and analytics engineering. This is a highly consultative role requiring both technical fluency and strong commercial instincts. It offers the opportunity to shape regional market presence while working closely with product, solutions, and engineering teams in a rapidly evolving data ecosystem.

Accountabilities

• Own and manage the full enterprise sales cycle, from lead generation through deal closure and long-term account growth.
• Develop and execute a regional go-to-market strategy to expand enterprise presence across the Pacific Northwest.
• Identify, qualify, and develop new business opportunities within complex enterprise accounts.
• Lead proof-of-concept (POC) implementations and coordinate technical validation with solutions engineering teams.
• Build and maintain strong relationships with senior stakeholders, including data leaders, executives, and technical teams.
• Collaborate with product and internal teams to provide market feedback and influence product roadmap direction.
• Contribute to sales process improvements, best practices, and scalable enterprise sales motions.
• Stay deeply engaged with the data and analytics ecosystem, including modern data stack technologies and communities.

Requirements

• 4+ years of experience in enterprise technology sales with a strong track record of consistently exceeding revenue targets.
• Proven ability to manage long, complex sales cycles involving multiple stakeholders and technical decision-makers.
• Strong understanding of technical concepts and ability to translate them into a consultative value-based sales approach.
• Excellent communication skills, with the ability to engage effectively across technical and executive audiences.
• Experience operating in fast-paced, ambiguous environments requiring autonomy and strong prioritization.
• Familiarity with SQL, data platforms, ETL/ELT, BI tools, or analytics engineering concepts is highly valued.
• Prior experience in analytics, data infrastructure, or open-source ecosystems is a strong advantage.
• Strong collaboration mindset with a focus on inclusivity and cross-functional teamwork.

Benefits

• Competitive On-Target Earnings (OTE): $260,000 – $330,000 USD
• Equity opportunities as part of the total compensation package
• Comprehensive healthcare coverage for employees and eligible dependents
• Unlimited vacation policy with a strong culture of time off and balance
• Generous paid parental leave program
• 401(k) plan with 3% guaranteed company contribution
• Flexible stipends for wellness, home office, internet, learning & development, and office space
• Flexible and remote-friendly work environment.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role’s core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.