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Full-Time

Clinical Lead

Confirmed live in the last 24 hours

Slingshot AI

Slingshot AI

1-10 employees

Stealth

AI & Machine Learning
Healthcare

Mid

New York, NY, USA

Hybrid work style with an office in New York SoHo.

Category
Nursing & Allied Health Professionals
Medical, Clinical & Veterinary
Required Skills
Agile
Requirements
  • You are a licensed, practicing mental health professional with at least three years of experience treating patients.
  • Ideally, you’ve earned your PhD or Psy-D, but we will also consider outstanding candidates with a master’s degrees in social work, mental health counseling, or marriage and family therapy.
  • You have extensive experience treating severe, acute mental health issues, and are well-versed in safety protocols for patients at risk of harming themselves or others.
  • You have in-depth knowledge of a wide range of therapeutic modalities, like CBT, DBT, ACT, and psychodynamic therapy.
  • You’re comfortable explaining and demonstrating your therapeutic knowledge, and eager to share your insights with our writing team through case studies and documentation.
  • You are a strong writer and an efficient reader, capable of providing in-depth, actionable feedback on conversations drafted by our writers.
  • You’re highly organized and technologically savvy.
  • You’ll adapt quickly to AshBuilder, our proprietary content management system, as well as the Agile methodology, our preferred style of project management.
  • You’re excited to educate yourself on the principles of conversational design.
Responsibilities
  • Advise a team of writers as they craft warm, insightful conversations about a vast range of mental health topics.
  • Review conversation drafts, educate our writers on therapeutic techniques, and evaluate our overall clinical approach, providing actionable recommendations for improvement.
  • Test Ash’s ability to handle various patient scenarios and share extensive, clinically informed feedback with our Product team.
  • Collaborate with our Conversational Design Lead to develop and execute a long-term vision for the company’s approach to content and clinical effectiveness.
  • Commit 2-3 full workdays each week to Slingshot while maintaining your own clinical practice.

With a focus on developing cutting-edge AI technology, Slingshot AI distinguishes itself in the tech industry through technical excellence and a commitment to pioneering research. This unobtrusive yet impactful firm enhances various industries by integrating advanced AI solutions, making it a stimulating environment for those passionate about leveraging technology to solve complex challenges. Working here offers the opportunity to be at the forefront of AI advancements, amidst a culture that values innovation and the professional growth of its employees.

Company Stage

Seed

Total Funding

$6.2M

Headquarters

New York City, New York

Founded

2022

Growth & Insights
Headcount

6 month growth

66%

1 year growth

66%

2 year growth

66%
Simplify Jobs

Simplify's Take

What believers are saying

  • Working at Slingshot AI offers the opportunity to be at the forefront of AI innovation and predictive analytics.
  • The company's emphasis on real-time data processing means employees can work on cutting-edge technology with immediate industry applications.
  • Slingshot AI's proprietary technology and algorithms provide a stimulating environment for those interested in advanced machine learning and AI.

What critics are saying

  • The rapidly evolving AI landscape means Slingshot AI must continuously innovate to stay ahead of competitors.
  • Dependence on proprietary algorithms could pose a risk if competitors develop superior technology.

What makes Slingshot AI unique

  • Slingshot AI's unique approach to leveraging artificial intelligence for predictive analytics sets it apart from traditional data analytics firms.
  • The company's focus on real-time data processing and actionable insights provides a competitive edge in fast-paced industries.
  • Slingshot AI's proprietary algorithms and machine learning models offer superior accuracy and efficiency compared to generic AI solutions.