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Enterprise Sales - AI Market Data Analytics

New York

Job Type

Full Time

Workspace

Referral Fee

Hybrid

$5,000

ENTERPRISE SALES EXECUTIVES needed in NYC only, hybrid three days a week in office. Must have experience selling enterprise software solutions (Analytics, Trading SaaS, Risk, etc. into the front/middle office of hedge funds, asset managers and/or banks, ideally all three. Base $150k - $170k x2 OTE. This is primarily new logos but also upselling after you close. Must have stable job history with at least 3 - 4 years at one firm. Looking for exactly 5 - 10 years of experience.

Our client is a leading provider of AI powered real-time analytics and historical data management solutions to both the buy and sell sides and is expanding rapidly.


Job Responsibilities:

· Target Achievement: Achieve and consistently surpass stated revenue goals.
· Pipeline Management. Maintain an accurate forecast at all times and to build and grow a strong set of opportunities to ensure there is sufficient pipeline to meet sales targets.
· ‘C Suite’ Access: Have access to an extensive rolodex to extend the footprint through thought leadership and a proven track record working at the C suite level.
· Cold Calling: Outbound sales calls to develop new business opportunities.
· Closing new business opportunities presented via the lead generation team.
· Prospecting new contacts at leading financial institutions with a focus on hedge funds and tier 2 banks.
· Mining existing accounts for up-selling and cross selling of new opportunities.
· Where appropriate facilitate the timely renewal of existing customer contracts for optimal value.

Requirements:
- exactly 5 - 10 years of enterprise technology sales experience with a proven track record hitting/exceeding quota
- Demonstrable success selling >$100k deals into the front office of hedge funds, asset managers and/or banks
- Strong technical acumen. This is a technical sale, though you will have the support of the sales engineering team.
- Strong prospecting skills
- Strong understanding of pre and post trade analytics would be ideal


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