Account Executive (Tech / SaaS)

Evlo AI; San Francisco (CA); On-site; USD 250,000 - 500,000; Full time

Job summary

Evlo AI in San Francisco seeks an ambitious account executive to own the full sales cycle for mid-market and enterprise SaaS accounts. You will source pipeline, conduct discovery, manage multi-threaded evaluations, and close new business against quarterly targets.

This role engages technical buyers—VPs of Engineering, Data, and Ops—requiring credible conversations about APIs, integrations, and infrastructure. A strong track record with complex deals and regional networks is valuable.

Qualifications

• 3–6 years of full-cycle B2B SaaS sales with quota attainment.
• Experience selling to technical buyers (engineering, data, ops).
• Strong written and verbal communication.

Responsibilities

• Own a $1.5M+ annual quota across mid-market and enterprise accounts, from prospecting through close.
• Run full-cycle sales: discovery calls, product demos, multi-stakeholder evaluations, security/procurement reviews, and negotiation.
• Build and manage pipeline in Salesforce with forecast accuracy and stage hygiene.
• Coordinate with solutions engineers and product teams to scope technical requirements, POCs, and integration plans.
• Develop territory plans and run targeted outbound via Outreach, LinkedIn Sales Navigator, and events.
• Negotiate commercial terms within deal-desk guardrails and close contracts.
• Feed win/loss insight back to product and marketing to sharpen positioning and roadmap priorities.

Skills

Full-cycle B2B SaaS sales

Quota attainment

Discovery & demos

Negotiation

CRM proficiency

Multi-threaded enterprise deals

Written communication

Education

Bachelor's degree in business or technical field

Tools

Salesforce

Outreach

Gong

LinkedIn Sales Navigator

Job description

About The Role

The role owns the full sales cycle for mid-market and enterprise SaaS accounts: sourcing pipeline, running discovery, managing multi-threaded evaluations, and closing new business against quarterly targets.

About The Role

The role owns the full sales cycle for mid-market and enterprise SaaS accounts: sourcing pipeline, running discovery, managing multi-threaded evaluations, and closing new business against quarterly targets.

This seat matters because it is the revenue engine — the team sells a data-platform product to technical buyers (VPs of Engineering, Data, and Ops), so the role pairs classic deal craft with the ability to hold credible conversations about APIs, integrations, and infrastructure.

Key Responsibilities

• Own a $1.5M+ annual quota across new-logo mid-market and enterprise accounts, from prospecting through close
• Run full-cycle sales: discovery calls, product demos, multi-stakeholder evaluations, security/procurement reviews, and negotiation
• Build and manage pipeline in Salesforce, maintaining rigorous forecast accuracy and stage hygiene
• Coordinate with solutions engineers and product teams to scope technical requirements, POCs, and integration plans
• Develop territory plans and run targeted outbound via Outreach, LinkedIn Sales Navigator, and events
• Negotiate commercial terms (pricing, MSAs, renewals) within deal-desk guardrails and close contracts
• Feed win/loss insight back to product and marketing to sharpen positioning and roadmap priorities

What We Are Looking For

• 3-6 years of full-cycle B2B SaaS sales experience with consistent quota attainment
• Track record selling to technical buyers or into engineering, data, or infrastructure teams
• Fluency with CRM and sales tools (Salesforce, Outreach, Gong, LinkedIn Sales Navigator)
• Strong discovery, demo, and negotiation skills; comfortable running multi-threaded enterprise deals
• Excellent written communication — crisp emails, business cases, and proposals that move deals forward
• Bachelor's degree in business, a technical field, or equivalent practical experience
• Bonus: experience selling developer tools, data infrastructure, or API-based products; existing Bay Area or SaaS buyer network; familiarity with MEDDICC or Challenger methodologies