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Senior Account Executive
Sales Account Manager (Research & Data Products) – Apollo London
About the Role
Green Street’s Sales team offers a fast-paced, team-oriented environment where you will be expected and empowered to sell research & data products and services to a variety of prospect types. We are building a smart and ambitious Sales Team committed to our mission and focused on winning.
We are in search of a motivated seller who can drive volume and manage a tight process to deliver high-velocity sales. We provide:
- Fantastic training
- Qualified prospect lists
- Ongoing managerial support
- A highly attractive product—BUARTAL leader in its field.
Job Responsibilities
Your key focus will be on driving revenue growth for Green Street. Core responsibilities include:
- Develop and execute a detailed sales plan for your territory to achieve or exceed sales quota
- Generate new revenue by selling Green Street’s industry-leading products (research, data & analytics, news, and advisory)
- Prioritise outbound prospecting to generate pipeline by engaging prospects daily via proactive outreach
- Navigate organisations to connect with decision-makers at C-level and build champions for our solution
- Uncover business goals and pain points with prospects and map them to Green Street Solutions
- As a trusted advisor, articulate how our products address needs, improve business outcomes, and close gaps in competing solutions
- Understand the value, pricing, and competitive landscape to sell Green Street’s offerings compellingly
- Manage the sales pipeline and monthly sales forecast, tracking activities in Green Street’s CRM
- Work with an entrepreneurial mindset, demonstrating drive, initiative, energy, and urgency to acquire new customers
- Collaborate closely with colleagues across functions and business units for cross-pollination of ideas and best practices
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Candidate Profile
Ideal candidates will meet the following criteria:
- 3+ years of successful full-cycle sales experience (preferably in SaaS, financial services, information services, commercial real estate, or technology-based industries). B2B and subscription-based environments highly advantageous.
- Proven track record of achieving and exceeding sales quotas while closing new business
- Bachelor’s degree preferred, or equivalent relevant work experience
- Strong grasp of commercial real estate fundamentals (helpful, but not mandatory)—deep understanding of financial principles, client needs, and industry dynamics will strengthen your application
- Hybrid work model—3 on-site days per week at London office
Compensation, Benefits & Work Authorisation
This role offers a base salary + commission structure, subject to factors including:
- Position type
- Location
- Education level
- Work experience
- Certifications
Benefits
Green Street provides a comprehensive benefits package:
- Company-provided medical, dental insurance, and cash plan
- Pension plan (with employer match)
- Life assurance, critical illness, income protection coverage
- Company-paid holidays, plus afternoon Fridays for most of summer
- Employee assistance programme and wellbeing resources
- Tax-free bike-to-work scheme and IT equipment
- Season ticket loan
- Career development sponsorship (e.g., degrees, certifications)
- Flexible working arrangements
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Work Authorisation
Green Street will not sponsor or transfer employment visas for this position. Applicants must be fully authorised to work in the UK without the need for future visa sponsorship.
Company Overview
Green Street is at the forefront of transforming commercial real estate, delivering predictive analytics, data-driven insights, and actionable intelligence. With over 40 years of industry expertise, we empower stakeholders across the globe—helping investors, lenders, banks, and operators make optimised decisions.
Equal Opportunity & Diversity
We value diversity and inclusion, fostering an environment where:
- Different perspectives are celebrated
- Top talent can thrive
- Everyone has a voice
Green Street adheres to a policy of equal opportunity:
- No discrimination based on race, age, sex, religion, national origin, disability, sexual orientation, gender identity, or other non-relevant factors.
For further details, visit www.greenstreet.com.
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