SentiLink

SentiLink

Account Executive

United States · Senior

No sponsorship$200k-$350kDetected 104 days ago
SalesAccount ManagementBusiness DevelopmentLeadershipCollaboration

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odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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About the role

  • Each day, we verify more than 3 million identities, flagging 150k+ fraud attempts in the process.
  • The problems we work on are challenging, and solving them takes deep domain expertise, rigorous analysis, and a willingness to dig into the details.
  • At SentiLink, you'll work alongside smart, highly collaborative colleagues who respect each other's time and judgment, take ownership, and follow through on their commitments.

Responsibilities

  • Proactively reach out to prospective partners within your assigned vertical to discover companies that we can serve
  • Own the sales process by leading meetings, building relationships, marshalling SentiLink resources to deliver solutions, preparing analytical business cases, and closing commercial agreements
  • Navigate complex organizations to align with decision makers and build champions within prospects and partners
  • Continue to drive value to our partners post-close by owning relationships and helping our partners be successful with our solutions
  • You'll do this by helping them solve their fraud and identity problems using our products and developing long-term relationships with our partners.
  • In this role you'll be aligned to a specific vertical, where you'll build deep expertise and own the market.

Requirements

  • 5+ years successful experience in sales and business development
  • Track record of successfully employing a top-down sales motion for complex technical products
  • Familiarity with identity verification or other fraud detection solutions (or a strong willingness to learn)
  • Candidates must be legally authorized to work in the United States and must live in the United States

Compensation

  • $200,000-350,000 OTE + equity + benefits
  • Note: This salary range may be inclusive of several career levels, and the actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, and qualifications.

Benefits

  • Employer paid group health insurance for you and your dependents
  • Flexible paid time off
  • Home office stipend, and more!
  • Experience selling into financial services or other verticals SentiLink is expanding into, such as fintech, crypto, insurance, healthcare, government, retail, ecommerce, retail energy or telecommunications

Company info

  • SentiLink https://www.sentilink.com/ helps institutions and protects customers by accurately resolving identities and flagging fraud risk.
  • We've been named to the Forbes Fintech 50 https://www.forbes.com/companies/sentilink/?list=fintech50 and as a 2026 FICO Industry Vanguard Decision Award Winner https://www.businesswire.com/news/home/20260330439998/en/SentiLink-Named-a-2026-FICO-Industry-Vanguard-Decision-Award-Winner-for-Leadership-in-Identity-Theft-Detection.
  • We are a digital-first company with strong collaboration across the U.S. and India, and we meet in person regularly to build relationships.
  • As an Account Executive, you will be responsible for selling SentiLink solutions to prospective customers.
  • Because we are a startup, we expect you to help build our company by wearing several hats as we scale.
  • We offer generous benefits and support a range of working arrangements, from fully remote to in-office.

Visa & Work Authorization

  • Candidates must be legally authorized to work in the United States and must live in the United States

This listing is sourced directly from SentiLink's careers page and normalized into a canonical job model.