Operations Lead: Healthcare Systems & AI (NYC On-site)

Silna Health, Inc.; New York (NY); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive compensation

401k

Unlimited PTO

In-person NYC office

Job summary

Silna Health in New York City is seeking an Operations hire to design, optimize, and scale core insurance workflows. You will build SOPs, drive cross-functional collaboration with engineering and product, and lead a small team of specialists to deliver impact from day one.

As an early member of the Operations team, you’ll apply data-driven analysis to improve eligibility checks, verifications, and prior authorizations, while partnering with engineering on automation opportunities and AI-powered

Qualifications

• 1-4+ years of experience in operations, consulting, or related fields; healthcare/insurance workflows a plus but not required.
• Demonstrated ability to drive outcomes in complex environments.
• Strong track record of building scalable processes as organizations grow.
• Project management skills with end-to-end initiative leadership.
• Data-driven approach to analyze workflows and identify inefficiencies.

Responsibilities

• Design and optimize core workflows for eligibility checks, benefit verifications, and prior authorizations.
• Collaborate with engineering to automate workflows using AI-first solutions.
• Create SOPs to standardize tasks across the operations team.
• Configure rules and frameworks for task automation and manual execution.
• Lead insurance specialists and align with product, engineering, and sales to achieve goals.

Skills

Operations experience

Process design

Data analysis

Project management

Cross-functional collaboration

Job description

Silna Health in New York City is seeking an Operations hire to design, optimize, and scale core insurance workflows. You will build SOPs, drive cross-functional collaboration with engineering and product, and lead a small team of specialists to deliver impact from day one.

As an early member of the Operations team, you’ll apply data-driven analysis to improve eligibility checks, verifications, and prior authorizations, while partnering with engineering on automation opportunities and AI-powered