About us

Coalition is the world's first Active Insurance provider designed to help prevent digital risk before it strikes. Founded in 2017, Coalition combines broad insurance coverage with a digital risk assessment and continuous security monitoring to help organizations protect themselves in today’s hyper-connected world.

Opportunities to make an impact with bold thinking are real - and happening daily.

Responsibilities

• Lead, hire, and grow our team of Machine Learning Scientists, and Machine Learning Engineers to bring the  long-term AI vision and strategy for AI at Coalition to life.
• Work with cross-functional partners across product, engineering, research, operations, marketing, sales, and customer success to identify opportunities to drive impact with AI/ML solutions..  
• Deliver state-of-the-art ML and LLM applications to solve high-impact and challenging AI use cases across all product and business areas. 
• Evolve our  MLOps and LLMOps development platforms  to efficiently deploy AI applications and models into production.
• Serve as an AI/ML expert to provide in-depth knowledge of the latest ML, LLM, genAI techniques, algorithms, and frameworks. Be ready to roll up the sleeves and take hands-on work in AI/ML development as needed to ensure robust and high-quality AI/ML modeling and platform deliverables.

Skills and Qualifications

• 5+ years of industry experience developing AI/ML models and platform offerings with business impact, and shipping AI/ML applications to production.
• Leadership roles on AI/ML teams
• Proven experience in delivering AI/ML solutions with end-to-end processes from initiation, problem formulation, model development, experimentation, deployment, and measurement to drive business impact.
• Experience with AI/ML platform development, operation and optimization to deploy AI models to production.
• Experience in building cross-functional influence with partner teams across broad disciplines including tech and business functions. 
• Experience with growing and coaching AI/ML teams across different career levels
• M.S., or PhD. in Machine Learning, Computer Science, Math, Operations Research, Statistics, Physics, or other quantitative field.

Bonus Skills

• Experience in insurance, cyber security, insurtech or fintech industries

Compensation

Our compensation reflects the cost of labor across several US geographic markets. The US base salary for this position ranges from $185,000/year in our lowest geographic market up to $250,000/year in our highest geographic market. Consistent with applicable laws, an employee's pay within this range is based on a number of factors, which include but are not limited to relevant education, skills, job-related knowledge, qualifications, work experience, credentials, and/or geographic location. Your recruiter can share more on target salary for your location during the interview process. Coalition, Inc. reserves the right to modify this range as needed.

Perks

• 100% medical, dental and vision coverage
• Flexible PTO policy
• Annual home office stipend and WeWork access
• Mental & physical health wellness programs (One Medical, Headspace, Gympass, and more)!
• Competitive compensation and opportunity for advancement

Why Coalition? 

We’re a remote-first, mission-driven team committed to building a more inclusive culture with people of all different backgrounds. We trust our team members to take responsibility, share ownership, and put in the work to help us in our pursuit to solve digital risk.

Coalition’s exceptional growth stems from its ability to address real-world problems for organizations of all sizes and remain true to our founding values of character, humility, responsibility, purpose, authenticity, and inclusion. 

We’re always looking for collaborative, inquisitive individuals to join #OurCoalition.

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Privacy Notice

Coalition is committed to protecting your privacy. We want you to understand what personal information we collect and how we use it. We also want you to understand your options regarding our collection, use, and disclosure of such information and your ability to access and correct such information. As the leading provider of active insurance, Coalition is required to adhere to certain local regulations, including U.S. federal and state laws that protect your information and our use and disclosure of it.

Information submitted, collected, and processed as part of your application is subject to Coalition's Privacy Policy.

Anti-Discrimination Notice

Coalition is proud to be an Equal Opportunity employer. It is our policy to provide equal opportunity to all individuals seeking employment without regard to race, color, religion, religious creed, national origin, age, sex, marital status, ancestry, physical or mental disability, military or veteran status, gender, gender identity, gender expression, sexual orientation, medical condition, genetic information, or any other protected category under federal, state, or local law. We also prohibit harassment or discrimination of applicants based on the above-protected categories. This policy covers all aspects of employment, including but not limited to, recruitment, selection, training, promotion, transfer, compensation, demotion, and termination of employment.

Accommodations

Coalition complies with US federal and state disability laws. Our policy is to provide reasonable accommodations to qualified individuals with disabilities, including applicants and employees unless the accommodation imposes an undue hardship. Contact us by emailing candidateaccommodations@coalitioninc.com if you require reasonable accommodation to complete this application, interview, pre-employment testing, or participating in the employee selection process.

We consider qualified applicants, regardless of criminal histories, consistent with legal requirements.

To all recruitment agencies: Coalition does not accept unsolicited agency resumes. Do not forward resumes to our email alias, employees, or other physical or virtual organization locations. Coalition is not responsible for any fees related to unsolicited resumes.