Engineer Manager (Remote) at Machinify

Palo Alto, California, United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

3+ years of combined technical leadership and engineering management experience of high-performing teams
8+ years of production application development, backend services experience, and developing API's/micro-services at scale
Proficiency with C#.NET, SQL Server, and Angular
Proficiency in one or more backend languages: Python, Rust, Java, or Go
Experience working alongside data science or machine learning engineering teams to deliver integrated solutions
Experience with cloud platforms such as AWS
Proven project management skills within Agile and Scrum environments
Bachelor’s degree in business, technology, or a related field

Responsibilities

Lead the development and production releases of robust web application systems and intuitive solutions
Oversee and guide development efforts leveraging C#.NET, SQL Server, Angular, and future development in Rust, Java, or Scala
Collaborate effectively with data science and machine learning engineering teams to integrate models and analytics into production systems
Collaborate with business stakeholders to understand operations and prioritize technology solutions
Champion business process automation and continuous improvement
Foster strategic relationships with senior stakeholders
Apply retrospective insights to improve team performance and delivery velocity
Build self-sufficient Agile teams and support individual development through targeted growth plans
Perform code reviews

Skills

Machinify

AI-driven solutions for healthcare administration

About Machinify

Machinify provides AI-driven solutions to improve decision-making in the healthcare industry. Its platform helps health plans, payers, and providers optimize their operations, particularly in areas like claims processing and utilization management. The applications offered by Machinify can be quickly deployed, allowing clients to see immediate returns on investment. This focus on rapid implementation sets Machinify apart from competitors, as healthcare organizations increasingly seek cost efficiency and better patient outcomes. The company's goal is to enhance operational efficiency and help clients manage healthcare expenditures more effectively.

Palo Alto, CaliforniaHeadquarters

2016Year Founded

$15.2MTotal Funding

SERIES_ACompany Stage

AI & Machine Learning, HealthcareIndustries

51-200Employees

Benefits

Medical, dental, & vision

Flexible work environment

Generous PTO

Competitive salary

Equity

401(k)

Sponsorship

Generous L&D Reimbursement policy

Risks

Integration challenges with Evolent Health could disrupt Machinify's operations.

Slow adoption of new technologies in healthcare may hinder Machinify's rapid deployment.

Reliance on a few large clients poses a risk if they switch providers.

Differentiation

Machinify leverages AI to optimize healthcare decision-making and administrative processes.

The company offers rapid deployment of AI applications for immediate ROI in healthcare.

Machinify's AI platform addresses the entire healthcare claims lifecycle efficiently.

Upsides

AI-driven automation in healthcare claims processing is gaining significant traction.

The healthcare AI market is projected to reach $45.2 billion by 2026.

Machinify's AI solutions reduce administrative costs and improve patient care access.

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