Engineering Lead, Clinical Operations

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for an Engineering Lead, Clinical Operations based in the United States.

We are seeking an Engineering Lead to build and improve the technology that enables clinical teams to deliver services in the field and in members’ homes. In this hands-on role, you will own technical direction and delivery across scheduling, dispatch, mobile workflows, and systems connecting equipment and home technology to daily operations. You will work directly with supervisors, clinical field staff, and operational leaders to understand real-world challenges and develop practical solutions that improve visibility and coordination. A key early initiative may involve building an operational command system that helps supervisors monitor activities, respond to disruptions, and make informed decisions throughout the day. You will combine product thinking with strong engineering execution, moving from problem discovery and prototyping to implementation and measurable improvements. Initially, the role may have no direct reports, with the opportunity to coach and eventually manage a small team of one or two engineers.

• Work directly with supervisors, clinical field staff, and operations leaders to understand scheduling, travel, capacity, handoffs, and the exceptions that affect daily operations.

• Build operational visibility and intervention tools that give supervisors relevant context, distinguish confirmed information from missing data, and help them respond effectively to changing conditions.

• Develop scheduling and dispatch capabilities that match people and visits to practical constraints, while allowing operational teams to review and adjust plans.

• Build, maintain, and debug APIs, mobile workflows, integrations, and data flows that support field teams, connected equipment, and home technology.

• Design and deliver an operational command system that helps supervisors identify disruptions such as delayed visits, equipment shortages, vehicle issues, or changes in member availability.

• Prototype solutions quickly and deliver focused improvements, making thoughtful decisions about what to build, integrate, or purchase.

• Use AI actively for software development, investigation, prototyping, analysis, and workflow capabilities, while verifying system behavior and ensuring failures are understandable and recoverable.

• Work closely with end users to test solutions, gather feedback, and refine technology based on actual operational needs.

• Coach engineers and gradually take responsibility for a small number of direct reports as the team develops.

• Establish clear technical ownership, maintain sound engineering practices, and make realistic delivery commitments.

• Collaborate with Product, Special Projects, IT, and other operational stakeholders on shared workflows, dependencies, and initiatives.

Expected milestones:

• First 90 days: Develop a clear understanding of field operations, deliver an improvement used by supervisors or field staff, and demonstrate its impact. Establish a focused technical plan based on real operational constraints and recurring exceptions.

• First six months: Deliver several useful improvements that help supervisors understand and respond to disruptions more effectively, strengthen scheduling and field workflows, and establish clear technical ownership.

Requirements:

• Strong experience as a production software engineer, with a track record of owning meaningful technical work from discovery through delivery.

• Ability to work across backend services, APIs, data flows, user interfaces, and operational workflows to solve practical business problems.

• Strong product instincts and the ability to understand unfamiliar domains by working directly with the people who use the systems being developed.

• A curious, iterative approach to engineering, with examples of exploring unfamiliar systems, building practical prototypes, or tracing complex failures across technical boundaries.

• Practical experience using AI in software engineering, including development, investigation, prototyping, or analysis.

• Experience building or integrating AI-powered capabilities, with the ability to verify results, evaluate performance, and understand potential failure scenarios.

• Demonstrated ability to deliver reliable software in dynamic operational environments where priorities and conditions can change throughout the day.

• Experience coaching engineers and an interest in taking responsibility for a small engineering team as it grows.

• Formal people-management experience is beneficial but not essential; demonstrated engineering leadership and mentoring experience are also valued.

• Strong problem-solving skills, adaptability, and willingness to experiment with unfamiliar tools and technologies.

• Excellent communication and collaboration skills, with the ability to work effectively with frontline users, technical teams, and business stakeholders.

• Ability to translate operational challenges into practical technical solutions and deliver improvements incrementally.

Benefits:

• Base salary: Estimated annual range of $223,100–$290,000, with final compensation based on factors including experience, education, certifications, market data, and internal equity.

• Equity: Equity opportunities and access to an Employee Stock Purchase Plan (ESPP) offering discounted stock purchases.

• Performance incentives: Performance-based bonus program.

• Retirement: 401(k) plan with company matching.

• Healthcare: Comprehensive medical, dental, and vision coverage.

• Time off: Flexible paid time off, sick leave, and monthly company holidays.

• Work-life balance: No-Meeting Fridays and access to mental health resources.

• Remote work: Remote-first culture that supports flexibility and collaboration.

• Home office support: Reimbursement for office setup expenses.

• Connectivity: Monthly cell phone and internet stipend.

• Family support: Paid parental leave for all new parents.

• Professional development: Learning programs, mentorship, professional development funding, and regular performance feedback and reviews.

• Additional benefits: Regular compensation reviews and other employee well-being initiatives.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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