Inactive
S

Spring Fertility

Fertility centers delivering IVF services

Forward Deployed Engineer

AI Application EngineeringPosted on Nov 11
Full-timeSan Francisco, CA, USA$150k - $180k /yr

About the Job

Requirements

  • A bachelor's degree in computer science, engineering, information systems, or equivalent practical experience is required.
  • At least 5 years of experience in software engineering, solutions engineering, implementation consulting, product engineering, technical operations, or a related role is required.
  • Strong programming skills in Python, JavaScript/TypeScript, C#, or a comparable language are required.
  • Experience building and consuming APIs and integrating SaaS or enterprise systems is required.
  • Ability to deliver business-facing technical solutions from discovery through adoption is required.
  • Ability to work effectively with executives, clinicians, operational leaders, and front-line users is required.
  • Problem-solving, written communication, and stakeholder-management skills are required.
  • Ownership, sound judgment, and an execution-oriented approach are required.

Responsibilities

  • Partner with clinical and operational teams to understand pain points and opportunities.
  • Embed within business functions to identify inefficiencies and opportunities for automation.
  • Translate operational challenges into secure, scalable technical solutions.
  • Lead initiatives from discovery and prototyping through implementation, adoption, and measurement.
  • Design and develop applications, automations, and workflows that improve employee productivity and patient experience.
  • Build solutions using APIs, cloud platforms, low-code tools, and custom software.
  • Connect data across operational, financial, clinical, laboratory, and patient-facing platforms.
  • Prototype ideas and transition successful pilots into reliable production solutions.
  • Identify practical uses of AI that reduce administrative burden and improve employee effectiveness.
  • Build and deploy AI agents, copilots, intelligent workflows, and internal knowledge solutions.
  • Develop retrieval-augmented generation solutions using appropriately governed internal information.
  • Partner with privacy, security, legal, clinical, and operational stakeholders to deploy AI responsibly in healthcare workflows.
  • Measure adoption, quality, business impact, and return on investment.
  • Design and implement integrations across fertility EMRs, clinical and laboratory systems, Microsoft 365 and Azure, Salesforce and patient engagement tools, HRIS and finance platforms, contact-center technologies including Salesforce AgentForce AI Voice, and other enterprise applications.
  • Improve interoperability, data integrity, and workflow continuity while reducing duplicate entry and manual handoffs.
  • Troubleshoot complex issues spanning applications, vendors, data flows, and business processes.
  • Build dashboards and reporting solutions for clinical, financial, and operational leaders in partnership with the Analytics/Reporting team.
  • Partner with stakeholders to define useful metrics and performance indicators.
  • Create reliable data pipelines that make information more accessible and actionable.
  • Support data governance, security, stewardship, and documentation practices.
  • Work with senior leaders on high-priority initiatives spanning people, process, and technology.
  • Move between strategy, stakeholder alignment, hands-on development, and implementation.
  • Serve as a trusted technical advisor to technical and non-technical partners.
  • Identify high-value opportunities and take ownership from ambiguity to measurable results.

Desired Qualifications

  • Experience in healthcare, digital health, fertility care, or another regulated environment.
  • Experience with Microsoft Azure, Microsoft 365, Power Platform, Copilot Studio, MS Fabric, Salesforce, or related technologies.
  • Experience building AI-enabled products and workflows using large language models.
  • Familiarity with healthcare interoperability standards such as FHIR and HL7.
  • Experience with data engineering, analytics, business intelligence, and enterprise integrations.
  • Experience in a startup, consulting, or high-growth multi-site healthcare environment.

About the Company

Spring Fertility

Fertility centers delivering IVF services

Spring Fertility runs a network of fertility clinics that provide IVF, egg freezing, and genetic testing. Treatments are delivered through personalized plans in modern centers with on-site embryology labs and surgery facilities, plus a patient portal to help people manage their care. It differentiates itself by prioritizing patient comfort and clear communication, supported by integrated labs across multiple clinics. The company aims to expand access to fertility care in major metro markets and broaden its patient-centered services.

Company size
201-500
Company stage
Seed
Total funding
$3M
Headquarters
San Francisco, CA
Founded
2014

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