Founding Forward-Deployed Engineer (Remote)

Pear VC; California; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

Equity

Direct founder exposure

Job summary

Optexity is seeking a software engineer who will work directly with customers, deployed inside practices and hospitals in New York. You will build integrations and product features that enable Optexity to operate in clinicians’ environments, including systems with no APIs.

You will own the customer’s technical outcome from first meeting to daily usage, collaborating with the core team on data pipelines, search, and chat systems, and guiding onboarding and training to maximize adoption.

Qualifications

• Bachelor’s in computer science or a related field.
• Strong Python and backend experience.
• Comfortable working directly with customers (non-technical encouraged).

Responsibilities

• Deploy inside practices and clinics, including systems with no APIs, using our integration stack.
• Understand doctors’ workflows and turn them into working software.
• Build and improve data pipelines and integrations with EMRs and other clinical systems.
• Collaborate with the core team on search and chat systems, feeding real customer feedback into the product.
• Debug and resolve customer issues quickly, owning them until fixed.
• Assist customer success: onboarding, training, and increasing usage.
• Create generalized solutions from one-off customer problems to speed future deployments.
• Share learnings with the founders to shape product direction.

Skills

Python

Backend

APIs

Customer-facing

Education

Bachelor’s in computer science or related field

Job description

Optexity is seeking a software engineer who will work directly with customers, deployed inside practices and hospitals in New York. You will build integrations and product features that enable Optexity to operate in clinicians’ environments, including systems with no APIs.

You will own the customer’s technical outcome from first meeting to daily usage, collaborating with the core team on data pipelines, search, and chat systems, and guiding onboarding and training to maximize adoption.