Top Tech Jobs & Startup Jobs

Build and ship end-to-end features that incorporate LLM capabilities into clinical systems. Fix user-facing bugs, improve backend and frontend systems, help evaluate model accuracy and robustness, prototype models and prompting techniques (using LangChain/LlamaIndex), and collaborate with cross-functional teams under mentorship.

Technical leader responsible for designing and scaling corporate IT infrastructure through workflow automation, API integrations, IAM automation, enterprise data engineering, and business systems deployment. The role establishes engineering standards, improves security and compliance in HIPAA and SOC 2 environments, mentors engineers, evaluates vendors, and manages application lifecycles. It requires extensive experience with cloud platforms, infrastructure as code, programming, databases, automation platforms, and regulated industries.

Own strategic health system partner relationships, serving as the primary executive and clinician contact. Drive adoption, onboarding, training, satisfaction, retention, and expansion through data-informed guidance, executive business reviews, and proactive issue resolution. Collaborate with sales, product, and cross-functional teams to remove adoption barriers, communicate customer insights, and improve partner outcomes. The role requires strong healthcare knowledge, technical aptitude, communication skills, problem-solving ability, and project organization.

As a Data Engineer at Abridge, you'll build and optimize data infrastructure for machine learning, manage databases and data pipelines, and collaborate with engineers and analysts to enhance data systems.

Own product strategy for Abridge’s foundation-model portfolio and post-training efforts. Partner with ML Science, Engineering, Clinical, Data, Evals, and product teams to convert proprietary healthcare data and research into production models. Define priorities, success metrics, promotion criteria, investment decisions, safety standards, and paths from experimentation to deployment. Translate model quality, latency, cost, and controllability tradeoffs into measurable clinician, patient, and business outcomes while coordinating execution across teams.

As a Senior Data Scientist, you'll drive product strategy through data analysis, user behavior modeling, and A/B testing, influencing healthcare practices.

As the Director of Data Science, you will lead and build a data science team, drive product strategy using data insights, and ensure effective data management in the company to enhance decision-making and operational success.

The Product Operations Manager will enhance the product organization by maintaining roadmaps, facilitating reviews, and ensuring successful product launches through effective stakeholder alignment and execution excellence.

Provide privacy and data protection counseling across Security, Product, Engineering, commercial, and go-to-market teams. Build and scale global privacy programs; advise on AI, machine learning, clinical data, sensitive information, data sharing, and healthcare privacy laws. Monitor regulatory developments, draft policies and playbooks, support governance and contracts, and translate complex legal requirements into actionable guidance. The role requires 10+ years of legal experience, a JD, and active U.S. state bar membership.

Serves as senior product counsel for AI and machine learning products, advising on model development, data rights, intellectual property, liability, privacy, governance, regulatory issues, and responsible AI. Develops legal frameworks, contracts, risk mitigations, and processes for emerging AI technologies. Partners with product, research, compliance, and legal teams, translates complex technical and regulatory issues into practical guidance, and represents company positions with external stakeholders.