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JobsPerplexity AI

Business Development Representative

Perplexity AI

Business Development Representative

Perplexity AI

San Francisco

·

On-site

·

Full-time

·

1w ago

Required Skills

Sales

Communication

BANT qualification

Social selling

WHAT YOU’LL DO:

Drive Revenue & Qualify Opportunities:

  • Balance dual inbound and outbound responsibilities to drive pipeline growth

  • Qualify inbound enterprise prospects using BANT criteria to identify high-value opportunities for Account Executive handoff

  • Execute targeted outbound campaigns to penetrate specific industry verticals

Strategic Outbound & Market Development:

  • Use social selling to represent the Perplexity brand—posting, commenting, and experimenting with new formats to stay top-of-mind with prospects

  • Research and map accounts within assigned verticals to build comprehensive prospect lists

  • Develop vertical-specific messaging that resonates with industry pain points and use cases for Perplexity Enterprise

  • Contribute to top of funnel strategy

Sales Operations & Excellence:

  • Maintain pristine data hygiene in Salesforce, ensuring all prospect interactions and qualification criteria are documented

  • Respond rapidly to inbound inquiries with consultative, value-driven communication

  • Build and iterate on outbound sequences that drive consistent pipeline generation

What You'll Need:

Core competencies

  • Exceptional communication skills: Ability to articulate complex AI/search solutions clearly via email and phone, adapting tone and technical depth to various stakeholders

  • Vertical expertise: Demonstrated understanding of at least one key industry (e.g., Financial Services, Healthcare, Legal, Consulting) with ability to speak to industry-specific challenges

  • Sales acumen: Proven ability to qualify prospects using BANT methodology while maintaining velocity in the sales cycle

  • Technical aptitude: Comfort discussing enterprise software, APIs, and AI capabilities at a high level

  • Self-starter mentality with ability to manage competing priorities (closing deals vs. qualifying for AEs)

  • Data-driven approach to tracking conversion rates, response times, and pipeline metrics

  • Intellectual curiosity about how AI and advanced search transform enterprise workflows

  • Ability to thrive in a fast-paced environment where processes are still being defined

Nice to Haves:

  • 9 months to two years in SaaS sales development or business development roles

  • Experience selling to technical and non-technical buyers

  • Familiarity with enterprise AI/ML solutions or search technologies

  • Track record of consistently achieving 100%+ of quota

  • Pulling data with Salesforce Reporting, SQL or Business intelligence tools

  • Bachelor's degree or equivalent practical experience

  • Experience at a high-growth technology startup

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About Perplexity AI

Perplexity AI

Perplexity AI, Inc., or simply Perplexity, is an American privately held software company offering a web search engine that processes user queries and synthesizes responses.

51-200

Employees

San Francisco

Headquarters

$1B

Valuation

Reviews

4.0

1 reviews

Work Life Balance

3.0

Compensation

3.0

Culture

3.0

Career

3.5

Management

3.0

70%

Recommend to a Friend

Pros

Helpful tool for research and analysis

Useful for job application preparation

Effective for complex marketing challenges

Cons

Limited feedback provided

No specific criticisms mentioned

Insufficient detail on potential drawbacks

Salary Ranges

28 data points

Junior/L3

Junior/L3 · LLM Teacher

1 reports

$101,920

total / year

Base

$78,400

Stock

-

Bonus

-

$101,920

$101,920

Interview Experience

1 interviews

Difficulty

4.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 0%

Negative 100%

Interview Process

1

Application Review

2

HR Screen

3

Take-home Marketing Challenge

4

Hiring Manager Interview

5

Panel Interview

6

Offer

Common Questions

Digital Marketing Strategy

Campaign Performance Analysis

Behavioral/STAR

Technical Marketing Knowledge

Case Study