Location: United States / Remote
Function: Sales / Revenue
Experience: 8+ years
Role Type: Full-time
Lifesight is a SaaS company helping brands improve marketing performance through data, AI, and measurement-led decision-making. The platform enables marketing, growth, analytics, and revenue teams to better understand customer acquisition, retention, campaign effectiveness, and marketing ROI.
We are looking for a Senior Enterprise Account Executive with strong experience selling martech or data-led SaaS solutions to enterprise customers.
The Senior Enterprise Account Executive will own the full enterprise sales cycle, from account planning and outbound prospecting to discovery, business-case development, negotiation, and closure. This role requires a seller who has successfully sold martech solutions into complex buying environments involving CMOs, VP Marketing, Growth leaders, Analytics leaders, Data teams, Finance stakeholders, and Technology teams.
The ideal candidate should have 8+ years of B2B SaaS sales experience, with meaningful exposure to martech, adtech, marketing analytics, attribution, customer data, data activation, personalization, marketing measurement, or related platforms.
- Own full-cycle enterprise sales across named and strategic accounts, including prospecting, discovery, solution positioning, proposal development, negotiation, and closure.
- Build and manage a strong enterprise pipeline through outbound prospecting, account-based selling, partner referrals, industry events, and marketing-generated opportunities.
- Sell to senior stakeholders across marketing, growth, analytics, data, finance, and technology teams.
- Position Lifesight’s value around marketing measurement, attribution, incrementality, customer intelligence, data activation, campaign performance, and marketing ROI.
- Develop business cases that connect Lifesight’s platform to measurable commercial outcomes such as improved acquisition efficiency, better media effectiveness, reduced wastage, stronger retention, and revenue growth.
- Run consultative discovery conversations to understand customer challenges around fragmented data, unclear attribution, poor campaign visibility, customer journey gaps, and ineffective marketing spend.
- Manage complex enterprise buying committees, including executive sponsors, technical evaluators, procurement, legal, finance, data privacy, and security teams.
- Partner with Solutions, Product, Customer Success, Marketing, and Leadership teams to deliver demos, prepare proposals, support RFPs, and move enterprise opportunities forward.
- Maintain strong CRM discipline, including pipeline hygiene, account plans, next steps, deal documentation, and forecast accuracy.
- Represent Lifesight as a credible advisor in martech, data-led marketing, marketing analytics, and measurement-led growth.
- 8+ years of B2B SaaS sales experience, with a strong focus on 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 track record of meeting or exceeding quota in full-cycle sales roles.
- Experience selling to CMOs, VP Marketing, Growth leaders, Analytics leaders, Revenue leaders, Data teams, or Digital leaders.
- Ability to manage complex enterprise sales cycles involving multiple stakeholders, technical evaluation, commercial negotiation, legal review, procurement, and executive alignment.
- Strong experience building self-sourced pipeline through outbound prospecting and account-based sales strategies.
- Ability to translate technical product capabilities into clear business value for marketing and revenue stakeholders.
- Strong understanding of marketing performance concepts such as ROI, attribution, incrementality, customer journey, segmentation, campaign optimization, first-party data, and data activation.
- Experience using CRM and sales engagement tools such as Salesforce, HubSpot, Outreach, Salesloft, Gong, or similar platforms.
- Experience selling to enterprise brands, ecommerce businesses, retail, consumer brands, agencies, financial services, or digitally mature organizations.
- Prior experience selling in the US market.
- Exposure to marketing measurement, multi-touch attribution, media mix modeling, data clean rooms, customer data platforms, or AI-powered marketing intelligence.
- Experience working in high-growth SaaS environments where the sales motion requires ownership, adaptability, and strong cross-functional collaboration.
- Familiarity with MEDDICC, Challenger, Sandler, SPIN, or similar enterprise sales methodologies.
- Strong consultative and value-based selling ability.
- Ability to engage executive stakeholders and build urgency around business outcomes.
- Strong understanding of martech buying cycles and the challenges faced by marketing and analytics teams.
- Ability to simplify complex data, analytics, and marketing technology concepts.
- Strong pipeline generation, account planning, and forecasting discipline.
- Commercially mature negotiation and deal-management skills.
- Comfortable working with Solutions, Product, Customer Success, and Marketing teams in complex sales cycles.
- High ownership, resilience, and ability to operate in a fast-growth environment.
- Achievement of quarterly and annual enterprise sales quota.
- Quality and coverage of named-account pipeline.
- Volume and value of qualified enterprise opportunities created.
- Progression of opportunities from discovery to proposal and closure.
- Forecast accuracy and CRM discipline.
- Ability to engage senior marketing, analytics, data, and finance stakeholders.
- Strength of business cases, proposals, and executive-level value messaging.
- Contribution to sales playbooks, competitive insights, and repeatable enterprise sales motions.
- The ideal candidate is an experienced enterprise SaaS seller with 8+ years of experience and proven martech selling exposure. They should be comfortable selling complex solutions to senior marketing, growth, analytics, and data stakeholders, and should be able to connect Lifesight’s platform to measurable business outcomes.
- This role is suited for someone who understands how enterprise brands use marketing technology, data, and analytics to improve acquisition, retention, media effectiveness, and revenue growth.
