RVP, Enterprise Sales Leader

Jobgether; United States; Remote; USD 350,000 - 410,000; Full time

Benefits offered by this job

Equity opportunities

Comprehensive healthcare

Family and personal leave

401(k) with employer matching

Remote work: US-wide

Job summary

Jobgether—a leading SaaS company—is seeking an experienced leader to drive enterprise sales performance across a distributed US team. You will shape sales processes, recruit and mentor Account Executives, and push AI-enabled strategies that improve forecasting, prospecting, and closing outcomes.

You will champion responsible AI use, collaborate with cross-functional leaders, and cultivate a high‑performance culture that delivers above-quota results with strategic foresight and hands-on execution.

Qualifications

• 10+ years in SaaS sales, including 5+ years leading enterprise sales teams.
• Proven track record closing enterprise deals and exceeding quotas.
• Experience recruiting, hiring, and developing sales professionals.
• Experience creating scalable sales processes, forecasting revenue, and analytics to improve performance.
• Experience adopting AI-powered sales tools and workflows.
• Ability to evaluate AI recommendations critically and ensure human oversight.
• Understanding of data confidentiality, security, and minimizing bias.
• Familiarity with modern sales platforms and productivity tools (Salesforce, LinkedIn).
• Strategic and operational agility.

Responsibilities

• Lead enterprise sales performance: oversee daily/weekly activities, pipeline reviews, forecasts, and deals.
• Build and optimize sales processes: develop scalable methodologies and operating rhythms.
• Recruit and develop talent: hire, manage, and retain Account Executives.
• Coach and mentor sales representatives: provide hands-on coaching for complex enterprise transactions.
• Drive strategic account growth: set goals, expand pipeline, accelerate deals, grow revenue.
• Monitor metrics and forecast performance: track KPIs and allocate resources.
• Champion AI-enabled selling: implement AI workflows to improve research, forecasting, and productivity.
• Promote responsible AI adoption: guidelines for AI insights, data accuracy, and human judgment.
• Strengthen AI-driven sales effectiveness: validate AI outputs and translate into actions.
• Collaborate across departments: partner with Sales Ops, Enablement, Marketing, Product, and others.
• Build a high-performance culture: foster accountability, learning, and growth.
• Lead with an entrepreneurial mindset: own initiatives and adapt across teams.

Skills

Enterprise sales leadership

People leadership

Sales strategy

AI-enabled selling

Responsible AI judgement

Data privacy

Technical proficiency

Strategic agility

Communication

Organization

Tools

Salesforce

LinkedIn

AI-enabled sales apps

Job description

Accountabilities

- Lead enterprise sales performance: Oversee daily and weekly sales activities, pipeline reviews, forecasts, and closed deals to deliver predictable, repeatable, above-quota results.

- Build and optimize sales processes: Develop, implement, and continuously improve scalable sales methodologies, operating rhythms, and best practices that support revenue growth and consistent execution.

- Recruit and develop talent: Hire, manage, and retain a high-performing team of experienced Account Executives, setting clear expectations and aligning individual objectives with company-wide revenue goals.

- Coach and mentor sales representatives: Provide hands‑on coaching for complex enterprise transactions, strengthening prospecting, opportunity management, negotiation, closing techniques, product knowledge, and consultative selling skills.

- Drive strategic account growth: Establish targeted goals for sales teams and customer segments, identifying opportunities to expand pipeline coverage, accelerate deal progression, and increase revenue.

- Monitor metrics and forecast performance: Track key performance indicators, assess individual and team results, forecast growth, allocate resources, and use data‑driven insights to improve execution.

- Champion AI‑enabled selling: Identify and implement practical AI‑powered workflows that improve account research, prospect prioritization, opportunity management, deal inspection, coaching, forecasting, and sales productivity.

- Promote responsible AI adoption: Establish clear guidelines for using AI‑generated insights and content, emphasizing data accuracy, customer confidentiality, human judgment, and appropriate decision‑making.

- Strengthen AI‑driven sales effectiveness: Coach managers and Account Executives on validating AI outputs, applying sound commercial judgment, and translating insights into measurable actions and improved customer experiences.

- Collaborate across departments: Partner with Sales Operations, Enablement, Marketing, Product, and other sales leaders to test, evaluate, and scale tools and processes that improve conversion rates, sales cycle times, forecast accuracy, and overall effectiveness.

- Build a high‑performance culture: Foster a positive, motivating, collaborative, and results‑oriented environment that encourages accountability, innovation, continuous learning, and professional growth.

- Lead with an entrepreneurial mindset: Take ownership of strategic and operational initiatives, adapt to changing business needs, and work across teams to solve problems and deliver results.

Requirements

- Extensive enterprise sales experience: At least 10 years of experience in SaaS sales, including a minimum of five years leading enterprise sales teams.

- Proven sales achievements: A strong track record of closing enterprise deals and consistently exceeding individual sales quotas, with the practical expertise needed to coach others toward similar success.

- People leadership and talent development: Demonstrated ability to recruit, hire, develop, and manage talented sales professionals while building accountable, high‑performing teams.

- Sales strategy and process optimization: Experience creating scalable sales processes, managing complex pipelines, forecasting revenue, and using analytics to improve team performance.

- AI and sales technology expertise: Experience adopting or leading AI‑powered sales tools and workflows, with an understanding of how these technologies can improve productivity, pipeline execution, coaching, and forecasting.

- Responsible AI judgment: Ability to evaluate AI‑generated recommendations critically, verify insights against reliable source data, recognize limitations, and determine when human oversight is essential.

- Data privacy and security awareness: Understanding of responsible AI practices, including confidentiality, data protection, transparency, security, and minimizing bias in sales‑related decisions.

- Technical proficiency: Familiarity with modern sales platforms and productivity tools, including Salesforce, LinkedIn, and AI‑enabled sales applications.

- Strategic and operational agility: Ability to balance long‑term commercial strategy with hands‑on execution, manage competing priorities, and take ownership of unfamiliar or complex projects.

- Communication and influencing skills: Excellent interpersonal skills, emotional intelligence, and the ability to build trust, communicate effectively, and influence stakeholders across diverse teams.

- Organization and accountability: Strong organizational skills, attention to detail, self‑motivation, and reliable follow‑through on projects and day‑to‑day responsibilities.

- Adaptability and initiative: An entrepreneurial mindset, willingness to experiment with new approaches, and the ability to thrive in a fast‑paced environment while continuously learning and improving.

Benefits

- Competitive compensation: On‑target earnings (OTE) of approximately $350,000–$410,000 USD annually, depending on experience, anticipated performance, and location. Compensation details may vary, and the posted ranges reference the San Francisco headquarters.

- Equity opportunities: Initial equity grants, with potential opportunities for additional awards throughout employment.

- Comprehensive healthcare: Medical, dental, and vision coverage with 100% of employee premiums covered and 75% of dependent premiums covered, plus additional plan options.

- Family and personal leave: Competitive leave policies, including gender‑neutral parental leave and compassionate leave.

- Family‑forming support: Access to family‑planning and family‑forming services through Maven for employees and their partners.

- Flexible paid time off: A generous PTO policy designed to support rest, personal commitments, and work‑life balance.

- Wellness and work stipends: Monthly stipends for wellness, hybrid work expenses, and mobile phone costs where applicable.

- Mental health resources: Access to therapy, coaching, and digital mental wellness tools through Modern Health.

- Retirement savings: A 401(k) retirement plan through Fidelity with employer matching for eligible U.S. employees.

- Commuter benefits: Pre‑tax commuter benefits for eligible U.S. employees.

- Team engagement: Regular team events that encourage connection, collaboration, and opportunities to recharge.

- Career growth: The opportunity to help shape a growing organization, influence sales strategy, and contribute to the development of innovative AI‑powered enterprise solutions.

- Remote work: A remote U.S. working arrangement that supports flexibility and autonomy.