Incognia

Incognia Talent Pool at Incognia (United States)

Incognia· United States·

Job description

Incognia is the innovator in location identity solutions that deliver cutting-edge user verification and account security across the digital journey. Leveraging over a decade of expertise in location technology, Incognia's novel approach provides frictionless experiences using device intelligence and the most precise location data available. Incognia enables customizable risk analysis and actionable insights from day one that empower consumer businesses to prevent fraud, protect users and build customer trust.

If you're interested in joining our team but don't see a perfect match on our careers page, feel free to apply to our Talent Pool. We'll keep your profile handy and reach out as soon as a role opens up that fits your background.

Incognia is committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates. All applicants are encouraged to apply and won't be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition or any protected category prohibited by local, state or federal laws. Join us and be part of a team that values and promotes equal employment opportunities.

Why work at Incognia

  • Culture: Values-driven (Trust, Excellence, Ambition) with a commitment to ethics, inclusion, and continuous learning. Rated 4.7/5 on LinkedIn (149 reviews) across work-life, compensation, culture, and career.
  • Team: ~193 employees spread across 11 countries (largest hub in Brazil; headquarters in Palo Alto). Engineering and research make up ~44% of the workforce.
  • Work environment: Not explicitly stated, but global employee distribution suggests hybrid/remote flexibility. The company fosters a data‑driven, collaborative culture with proactive feedback.
  • Notable perks: Emphasis on solving meaningful problems at scale; exposure to cutting‑edge AI/ML; opportunity to impact billions of user experiences; strong engineering roots (founders from UFPE, Stanford, Harvard exec programs).

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