全职 Enterprise Account Executive 工作, 薪水, Lifesight 公司招聘中 - Ricebowl

Role Overview

The Enterprise Account Executive-APAC will own the complete enterprise sales cycle, from target-account planning and outbound prospecting to discovery, solution positioning, negotiation, and closure.

The ideal candidate will have 8+ years of B2B SaaS sales experience, with proven exposure to martech, adtech, marketing analytics, attribution, customer data, marketing measurement, or related platforms. The role requires experience selling to complex buying groups across Marketing, Growth, Analytics, Data, Finance, Technology, Procurement, Legal, and Security.

Key Responsibilities

• Own full-cycle enterprise sales across named and strategic accounts.
• Build a strong pipeline through outbound prospecting, account-based selling, referrals, events, and marketing-generated opportunities.
• Sell to senior stakeholders, including CMOs, VP Marketing, Growth Leaders, Analytics Leaders, Data Teams, Finance, and Technology teams.
• Position Lifesight’s value across marketing measurement, attribution, incrementality, customer intelligence, data activation, campaign performance, and marketing ROI.
• Develop business cases linked to measurable outcomes such as improved media efficiency, reduced marketing waste, stronger retention, and revenue growth.
• Run consultative discovery to identify customer challenges across fragmented data, attribution, campaign visibility, customer journeys, and marketing spend.
• Manage complex enterprise buying committees involving executive sponsors, technical evaluators, procurement, legal, finance, privacy, and security teams.
• Partner with Solutions, Product, Customer Success, Marketing, and Leadership teams on demos, proposals, RFPs, and deal progression.
• Maintain strong CRM discipline, account plans, deal documentation, next steps, and forecast accuracy.
• Represent Lifesight as a credible advisor in martech, marketing analytics, data-led marketing, and measurement-led growth.

Required Experience

• 8+ years of B2B SaaS sales experience, primarily across enterprise or upper-mid-market customers.
• Proven experience selling martech, adtech, marketing analytics, attribution, CDP, customer intelligence, data activation, personalization, AI-led marketing, or marketing measurement platforms.
• Demonstrated record of meeting or exceeding sales targets.
• Experience selling to senior Marketing, Growth, Analytics, Data, Revenue, or Digital leaders.
• Strong experience managing complex, multi-stakeholder enterprise sales cycles.
• Proven ability to build self-sourced pipeline through outbound and account-based selling.
• Ability to translate technical capabilities into clear commercial value.
• Strong understanding of attribution, incrementality, marketing ROI, customer journeys, segmentation, first-party data, and data activation.
• Experience using Salesforce, HubSpot, Outreach, Salesloft, Gong, or similar platforms.

Preferred Experience

• Experience selling to enterprise brands, ecommerce companies, retailers, consumer businesses, agencies, financial services, or digitally mature organizations.
• Prior experience selling in the United States.
• Exposure to marketing measurement, multi-touch attribution, media mix modeling, data clean rooms, customer data platforms, or AI-powered marketing intelligence.
• Experience in a high-growth SaaS environment.
• Familiarity with MEDDICC, Challenger, Sandler, SPIN, or similar enterprise sales methodologies.

Skills and Competencies

• Strong consultative and value-based selling skills.
• Ability to engage executive stakeholders and build urgency around business outcomes.
• Strong understanding of martech buying cycles.
• Ability to simplify complex data, analytics, and technology concepts.
• Strong pipeline generation, account planning, negotiation, and forecasting discipline.
• High ownership, resilience, and cross-functional collaboration.

Ideal Candidate

An experienced enterprise SaaS seller with proven martech exposure who can sell complex solutions to senior Marketing, Growth, Analytics, and Data stakeholders and connect Lifesight’s platform to measurable business outcomes.