SMB Account Executive, Industries

Job Title

Responsibilities

Drive revenue and win new business: Own a revenue target and all aspects of the sales cycle from prospecting to close, identifying high-potential opportunities and executing strategies to capture them.

Service inbound demand efficiently: Respond to and qualify inbound leads using a combination of digital engagement and strategic outreach to maximize conversion rates and deal velocity.

Execute strategic outbound campaigns: Identify and pursue target accounts using data-driven insights, deploying scaled outreach tactics while maintaining personalized engagement for key opportunities.

Deliver exceptional customer experiences: Guide customers through evaluation and onboarding, recommending relevant use cases and ensuring successful deployment across their organizations.

Contribute to the SMB GTM strategy: Experiment with new sales tactics, share learnings with the team, and help refine our approach to serving the SMB segment effectively.

Collaborate cross-functionally: Partner with Product, Marketing, Customer Success, and other teams to deliver value to customers and provide market feedback to shape our roadmap.

Optimize for efficiency: Identify opportunities to automate or streamline workflows, leveraging modern sales tools to enhance productivity and scale your impact.

You may be a good fit if you have:

• 2+ years of B2B sales closing experience, preferably in a PLG or high growth SaaS company, with a proven track record of exceeding quota in high-velocity sales environments.
• Experience with automation and tooling: Demonstrated ability to leverage sales technology, automation, or workflows to enhance productivity and improve sales outcomes.
• Builder mentality: "Roll up your sleeves" approach with enthusiasm for experimentation. Thrive in ambiguity and bring structure to evolving processes.
• Data-driven mindset: Strong analytical skills with ability to prioritize opportunities based on signals and insights, making strategic decisions about resource allocation.
• Excellent time management: Proven ability to manage multiple opportunities simultaneously with strong territory planning and account prioritization skills.
• Outstanding communication: Confidence presenting to various audiences and building rapport across organizational levels, from practitioners to executives.
• Technical aptitude: Comfort discussing technical products and solutions with both technical and non-technical stakeholders.
• Growth mindset: Highly coachable and adaptable, with genuine passion for continuous learning and improvement.
• Process excellence: Strong experience with CRM systems, pipeline management, and forecasting. Comfortable with structured methodologies while remaining flexible.
• Mission alignment: Passion for advanced AI systems and ensuring they are developed safely and deployed responsibly.

The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.

Annual Salary: $210,000 - $280,000 USD

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.