Part-Time VP of Sales: Demand Gen & Trusted Growth

Target; Sparks (NV); On-site; USD 192,000 - 295,000; Part time

Benefits offered by this job

Part-time arrangement

Mentorship

Health coverage

Paid growth time

Job summary

Target in Sparks, NV is seeking a VP of Sales to own demand generation end to end and enhance the company's reputation in a crowded market. The role offers a trust-based environment, a salary range of $192,000 to $295,000, and a part-time arrangement that respects your evenings.

You will run discovery calls to uncover budget, forecast demand, and align marketing with sales objectives. Expect to mentor teams toward value selling and stand behind your own estimates with data-driven rigor.

Qualifications

• Proven follow-through, measured by shipped work.
• 14+ years building trust in sales.
• Ability to surface risk before it surfaces.
• Curiosity beyond your current role.
• Collaborative, supports VP reviews.
• Comfort with fast-paced, agile environments.
• 12+ years standing behind estimates.

Responsibilities

• Run discovery calls to reveal budget.
• Forecast demand and align marketing with sales objectives.
• Turn churned logos into win-backs with a plan.
• Grow Target's bias-to-action footprint through earned introductions.
• Coach team to value selling over discounts.
• Turn cold leads into signed deals in Sparks, NV.
• Create email sequences that get opened.

Skills

Trust building

Forecasting

Risk management

Collaboration

Agile mindset

Estimation accuracy

Lead generation

Tools

Pipedrive

Solution Selling

Job description

Target in Sparks, NV is seeking a VP of Sales to own demand generation end to end and enhance the company's reputation in a crowded market. The role offers a trust-based environment, a salary range of $192,000 to $295,000, and a part-time arrangement that respects your evenings.

You will run discovery calls to uncover budget, forecast demand, and align marketing with sales objectives. Expect to mentor teams toward value selling and stand behind your own estimates with data-driven rigor.