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12 дней назад

Product Psychologist (AI)

80 000 - 100 000GBP
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
UK/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Product Psychologist (AI): Defining and measuring what makes Ash's mental-health conversations effective, with an accent on clinical quality, conversational evaluation, and human reviewer calibration. Focus on building benchmarks and evals for machine-learning teams, setting safety constraints for difficult conversations, and coaching a distributed reviewer team.

Location: London, United Kingdom

Salary: £80,000–£100,000 per year, plus meaningful equity ownership

Company

hirify.global is a well-funded Series A company building Ash, an AI product designed to make mental-health support more accessible.

What you will do

  • Define what makes Ash conversations high quality and turn that definition into measurable standards.
  • Make hypothesis-driven decisions about Ash's behavior across general and situation-specific conversations.
  • Partner with the Safety team to define behavioral constraints and responses to difficult edge cases.
  • Recruit, scale, and coach a distributed team of expert human reviewers, including setting standards and maintaining calibration.
  • Partner with the conversation and machine-learning teams to provide clarity where product decisions are ambiguous.

Requirements

  • PhD in Clinical or Counseling Psychology, a related field, or a license-eligible master's degree with clinical training and supervision.
  • Experienced clinician with experience working with systems and technology to scale engaging and effective health products.
  • Deep practical experience with interpersonal skills, including recognizing flexibility, warmth, honesty, confidence, and attunement in conversations.
  • Pragmatic and decisive when working with incomplete information, with the ability to revise decisions as evidence changes.
  • Experience with measurement, ideally in digital mental health, including building rating systems and calibrating raters.
  • Comfort working closely with machine-learning teams and understanding how benchmarks and evaluations influence model behavior.

Culture & Benefits

  • Autonomous, flexible, and supportive working environment.
  • Meaningful equity ownership and competitive compensation.
  • Travel between the New York City and London offices.
  • Free lunch and coffee in the office.
  • Generous learning budget and coverage for personal therapy.

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