Senior Enterprise Account Executive 1

Optimizely; New York (NY); On-site; USD 209,000 - 386,000; Full time

Job summary

Optimizely's Enterprise Sales Team is responsible for driving meaningful revenue growth across strategic customers and high-value prospects, powered by AI-driven insights and the Opal AI platform.

We seek professionals who can lead a consultative sales approach, manage end-to-end cycles, and influence enterprise-level strategy to accelerate growth and leadership in the AI space.

Qualifications

• 5+ years of full-cycle SaaS sales experience
• Demonstrated track record of exceeding quota in enterprise or strategic accounts
• Strong commercial acumen with deep curiosity and passion for AI
• Motivated, competitive mindset with a drive to win and lead in AI landscape

Responsibilities

• Drive new and expansion ARR through strategic sale of Opal AI solutions within enterprise accounts
• Lead an AI-enhanced end-to-end sales process from discovery to close
• Maintain a highly accurate, predictive forecast using AI-driven insights
• Develop and execute a comprehensive territory strategy to maximise AI-driven revenue and long-term value
• Build and sustain a robust pipeline (4× coverage) across SDR, Marketing, CS, Partners, and AI insights
• Rigorously qualify opportunities to focus on high-impact AI-centric deals
• Establish trusted relationships with senior executives and line-of-business leaders
• Act as a thought leader on AI and educate prospects on enterprise-wide potential
• Navigate complex enterprise organizations and multi-stakeholder buying processes

Skills

Full-cycle SaaS sales

Quota attainment

Enterprise sales

Education

Bachelor's degree or equivalent experience

Job description

We're not here to add to the noise. We're here to cut through it- with AI that actually works for marketers.

From AI-powered content creation to world-class CMS and the industry's most trusted experimentation platform, Optimizely is the tool modern marketers actually want to use. AI-Ready. Set. Go.

10,000+ brands including H&M, PayPal, and Zoom already get it. So do Gartner, Forrester, and IDC, who consistently recognize us as leaders in MarTech.

But here's the thing about building great products: it takes great people. Our 1,600+ Optimizers across 12 global offices are curious, collaborative, and refreshingly human. We don't do corporate speak. We do real conversations, big ideas, and genuinely care for the work we make together.

If you want to be part of a team that's shaping the future of marketing technology - and actually enjoys doing it - you're in the right place.

Find us on Instagram: @optimizely

Introduction

Optimizely's Enterprise Sales Team is responsible for driving meaningful revenue growth across our most strategic customers and high-value prospects. Powered by AI-driven insights and innovation- particularly through our Opal AI platform, we position ourselves as transformative partners in our customers' journey toward smarter, faster, and more impactful digital experiences.

We are deeply invested in our customers' long-term success. Our approach is highly consultative: we challenge conventional thinking, share expertise, and continuously learn alongside our clients to help solve complex business challenges using cutting-edge AI technologies. By aligning innovation with measurable outcomes, we enable organisations to unlock new opportunities across marketing, product, and engineering.

This role places you at the forefront of AI-led transformation - offering the opportunity to shape customer success, influence enterprise-level strategy, and contribute directly to Optimizely's growth and leadership in the AI space through Opal AI.

Job Responsibilities

• Drive new and expansion Annual Recurring Revenue (ARR) through the strategic sale of Opal AI solutions within enterprise accounts.

• Lead a sophisticated, AI-enhanced end-to-end sales process- from discovery and value articulation through to negotiation and close.

• Maintain a highly accurate, predictive forecast, leveraging AI-powered insights and data-driven decision making.

• Develop and execute a comprehensive territory strategy designed to maximise AI-driven revenue opportunities and long-term account value.

• Build and sustain a robust pipeline (4× coverage) across all available channels, including SDR, Marketing, Customer Success, Partners, and Opal AI-generated insights.

• Rigorously qualify opportunities to ensure focus on high-impact, AI-centric deals where Optimizely can deliver transformational value.

• Establish trusted relationships with senior executives and line-of-business leaders, clearly articulating the strategic and commercial impact of AI adoption.

• Act as a thought leader on AI, educating prospects on its enterprise-wide potential- from marketing optimisation to product innovation and engineering efficiency.

• Navigate complex enterprise organisations and multi-stakeholder buying processes using structured, insight-driven sales methodologies.

Knowledge and Experience

• 5+ years of full-cycle SaaS sales experience, with exposure to AI-driven or data-centric solutions and a consistent history of closing 6- to 7-figure ARR deals.

• Demonstrated track record of exceeding quota within enterprise or strategic account environments- ideally in AI, analytics, or emerging technology categories.

• Strong commercial acumen combined with deep curiosity and passion for AI, its business applications, and its transformative potential.

• A highly motivated, competitive mindset with a genuine drive to win, learn, and lead in a rapidly evolving AI landscape.

Education

Bachelor's of Science or Business Administration preferred or equivalent work experience

Optimizely is committed to a diverse and inclusive workplace. Optimizely is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Total Target Compensation range: $209,000-$386,000

Optimizely considers several factors when extending an offer, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills.