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Account Executive, Enterprise Intelligence

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Published
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1Application actions
13 Oct 2026Apply before
Opportunity details

About this role.

AI Summary

AlphaSense is seeking an enterprise Account Executive to sell its AI-powered Enterprise Intelligence solution to investment organizations, including hedge funds, private equity, asset management, and investment banking clients. The role owns complex, top-down technical sales cycles from prospecting and qualification through trials, commercial discussions, and close. It requires close coordination with account teams, product, engineering, and technical stakeholders while applying a consultative, industry-expert approach. The position is suited to a senior seller with executive presence, disciplined pipeline management, and experience navigating C-suite and end-user buying groups.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a highly complex enterprise sales role involving technical AI solutions, sophisticated financial-services buyers, and multi-stakeholder deal cycles. Success depends on independently orchestrating discovery, trials, internal resources, and commercial strategy across strategic accounts.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate
$145,000
US market range$120k–$180k
AI insightThe disclosed base-compensation range is $124,000 to $166,000 USD yearly, with a midpoint of $145,000. This is broadly competitive for a US-based enterprise SaaS Account Executive selling complex AI and market-intelligence solutions; a representative US base-salary market range is approximately $120,000 to $180,000 annually. Equity and benefits may be offered, but they are not included in the stated base range.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you qualify an Enterprise Intelligence opportunity with a private-equity firm?

I would use a structured qualification framework to identify the firm's priority workflows, measurable pain points, economic buyer, decision criteria, procurement path, timeline, champions, and competitive alternatives. I would validate how combining proprietary research with trusted external content improves diligence, portfolio monitoring, or investment decision-making.

Describe how you manage a complex technical sales cycle with multiple internal and client stakeholders.

I establish a mutual action plan that defines stakeholders, success metrics, technical validation steps, commercial milestones, owners, and dates. I run regular internal deal reviews with sales, product, engineering, and technical teams, while maintaining executive alignment and clear next steps with the client.

How would you position AlphaSense Enterprise Intelligence against a generic AI search tool?

I would focus on secure access to the client's qualitative intellectual property combined with trusted external market content, along with workflow-specific insight generation. Rather than leading with general AI capabilities, I would tie differentiation to governance, discoverability, decision quality, and measurable time saved in investment research processes.

What would a successful client trial plan look like?

A successful trial starts with agreed use cases, participant roles, baseline pain points, success metrics, data-access requirements, enablement sessions, and a final executive readout. I would ensure the trial demonstrates repeatable value for priority workflows and creates a documented path from validation to commercial close.

How do you maintain forecast accuracy while pursuing large enterprise opportunities?

I base forecasts on verified evidence rather than optimism, including access to the economic buyer, confirmed business pain, validated technical fit, procurement status, and a mutually agreed timeline. I document risks and next steps in the CRM, regularly requalify deals, and communicate changes early to leadership and cross-functional partners.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.

About AlphaSense:

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

About the Role:

AlphaSense is the market leader in AI driven search and due to client demand, AlphaSense is expanding our EI (Enterprise Intelligence) sales team. Enterprise Intelligence securely enables clients to generate unique insights from a combined library of the client’s own qualitative intellectual property and AlphaSense’s trusted external content sets. This solution leverages AlphaSense’s market leading proprietary GenAI and LLM, to enable the client’s IP to be more discoverable and actionable. For further information, please visit https://www.alpha-sense.com/platform/enterprise/

Who You Are:

  • Proven top-down sales professional with experience selling large technical solutions to Investment Teams at the end user and the C-suite level, across Hedge Funds, Private Equity, Asset Management and Investment Banking.
  • Successful technical seller who will take ownership and quarterback the sales opportunity from start to finish.
  • Experienced in building strong relationships with internal and external stakeholders at all levels.
  • Exhibits strong executive presence and communication skills
  • Proactive in identifying opportunities for and history of detailed sales process and pipeline maintenance
  • Experienced in partnering closely with Sales, Product, Engineering, and Technical teams

What You’ll Do:

  • Prospect new Enterprise Intelligence opportunities and partner with internal Account Executives and Account Managers to execute on identified strategies.
  • Lead opportunity qualification (Metrics, Economic Buyer, Decision Criteria, Decision Process, Paper Process, Identify Pain, Champions, and Competition), and ongoing communication and commercial conversations.
  • Manage the sales process and coordinate across Sales, Technical, and Product teams for client feedback, enhancement requests, and communicating the product strategy.
  • Manage weekly calls with key stakeholders (internal and external) with active and prospective opportunities.
  • Carry out a consultative sales approach, operating as an industry and workflow expert
  • Build trial plans and collaborate on path to close strategies with key client and internal stakeholders.

For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below.

You may also be offered equity, and a generous benefits program.

Compensation Range

$124,000—$166,000 USD

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

  • AlphaSense never asks candidates to pay for job applications, equipment, or training.
  • All official communications will come from an @alpha-sense.com email address.
  • If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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