
Latitude Health is an AI-native utilization management (UM) and prior authorizationplatform that automates 75% of manual processes and doubles review volume, reducing costs while improving decision quality.
Founded by healthcare operators with 40+ years of experience (Elevance, Clarify Health, Amerigroup, McKesson), Latitude is backed by top-tier investors. Latitude streamlines UM operations, alleviates administrative burden, and enables clinical teams to focus on high-value care decisions, delivering a >10x ROI on admin savings alone.
About the role:
As our Senior Software Engineer, you will drive the technological vision and strategy for our early-stage startup, ensuring alignment with our overall business objectives. You will be responsible for shaping our technology roadmap and overseeing the development and deployment of innovative solutions. This is an opportunity to leverage your expertise in technology leadership while playing a crucial role in building a scalable and cutting-edge platform.
What you’ll do:
Develop and execute the technology strategy and roadmap to align with business goals.
Ensure the successful delivery of high-quality technology solutions and customer deployments.
Oversee the architecture and design of our technology stack, ensuring scalability, security, and performance.
Collaborate with product management to define technical requirements and ensure timely delivery of features.
Stay abreast of emerging technologies and industry trends to drive innovation and maintain competitive advantage.
What you'll Need:
Proven experience as a lead or senior Engineer or in a senior technology leadership role at an early-stage startup or startup-like environment. Healthcare experience is a plus!
Strong technical background with expertise in software development, system architecture, scaling platforms/products, cloud and AI technologies experience.
Languages & Frameworks: Hands-on development experience with Python, Langchain, Celery, RabbitMQ, etc. Knowledge of TensorFlow, PyTorch, or similar AI/ML. frameworks is a plus. Hands-on experience building multi-tenant SAAS platforms on Azure. Knowledge of other cloud platforms (AWS, Google Cloud, etc.) for deploying AI models.
Hands-on experience building data products (knowledge of ETL) as well as building, training, fine-tuning and testing LLM and SLM models, prompt engineering, and recommending models or frameworks to meet business needs.
Excellent problem-solving skills and the ability to navigate complex technical challenges.
Exceptional communication skills, with the ability to convey technical concepts to non-technical stakeholders.
Who you are:
Drive Results: You persist in accomplishing objectives and exceeding goals despite obstacles and setbacks, while also helping others to achieve results.
Collaborative: You work cooperatively with others across the organization to achieve shared objectives, partnering with others to get work done and crediting others for their contributions and accomplishments.
Manage Ambiguity: You deal comfortably with the uncertainty of change, and are calm and productive, even when things are up in the air.
Team Player: Low-ego, kind humans working together. We value trust, curiosity, and care, where everyone’s voice matters and teamwork makes the mission possible.
Additional Information:
Competitive base salary and equity package, commensurate with experience.
Fully remote position.