SafeRide Health

Full-stack Engineer

• Lead architecture and implementation for AI-enabled capabilities (member chat/IVR, dispatch optimization, provider quality signals, fraud/waste/abuse detection, internal operator tooling), balancing reliability, cost, and speed.
• Design and evolve model-backed systems (LLMs, RAG, classification/ranking, speech/ASR) with evaluation harnesses, guardrails, and human-in-the-loop flows.
• Establish engineering best practices for AI in production: prompt/version management, feature flags, offline/online evaluation, shadow testing, red-teaming, and observability.
• Define data contracts and collaborate with data teams on feature stores, lineage, retention, and PHI/PII access controls; improve data quality through validation and monitoring.
• Build secure, scalable APIs and event-driven microservices; drive performance tuning, resiliency patterns, and capacity planning.
• Implement polished, accessible front-end experiences (React/Next.js); set performance budgets and accessibility standards.
• Instrument systems end-to-end with metrics, logs, and traces; design dashboards/alerts and run experiments (A/B and interleaving).
• Champion privacy, security, and compliance (HIPAA); partner with InfoSec/Legal on threat modeling and responsible AI safeguards.
• Mentor senior engineers, lead design reviews and RFCs, elevate SDLC practices (testing strategy, CI/CD, deploy safety), and contribute to hiring loops.
• Own operational excellence for critical services: define SLOs/SLIs, lead incident response and postmortems, and drive systemic fixes to reduce toil.

Staff Software Engineer, AI

Product Manager

• SafeRide Health is transforming access to care for America’s most vulnerable populations. We deliver technology-driven solutions that modernize non-emergency medical transportation (NEMT), improving member experience and health outcomes.
• As the Vice President of Product Management, AI, you will set the multi-year vision, strategy, and execution plan for AI across the SafeRide platform.
• Lead and grow a team of product managers focused on AI/ML experiences, partner closely with engineering and data science, and deliver measurable business outcomes that improve reliability, efficiency, and equity of access.
• This role requires a strategist-operator who can translate ambiguity into a clear portfolio and execute at pace in a regulated environment.
• Own the company-wide AI product strategy and portfolio, aligned to OKRs and P&L impact; define the investment thesis, roadmap, and success metrics.
• Build, lead, and mentor a high-performing PM team; establish hiring standards, career ladders, and coaching rituals.
• Establish responsible AI governance with Legal, InfoSec, and Compliance (HIPAA), including safety/bias guardrails, model risk reviews, and privacy protections.
• Drive portfolio planning and resource allocation; set operating rhythms for quarterly planning, stage gates, launch reviews, and postmortems.
• Partner with Engineering and Data Science/ML to deliver AI-powered products (LLMs, RAG, classification, speech) across member communications, dispatch optimization, provider quality, fraud/waste/abuse detection, and operations tooling.
• Define north-star and product-level KPIs; build a culture of experimentation with A/B tests, telemetry, and post-launch monitoring.
• Collaborate with Revenue, Marketing, and Customer Success on go-to-market strategy, adoption, enablement, and ROI proof points.
• Lead build/buy/partner decisions for AI infrastructure, balancing time-to-value, risk, and cost; negotiate vendor contracts and manage budgets.
• Champion data quality and platform readiness (feature stores, contracts, lineage, PHI/PII access controls).
• Create clear artifacts (PRDs, RFCs, decision memos) to align executives, stakeholders, and the board.
• Set SLOs/SLAs and drive continuous improvement for AI features in production.

VP of Product Management, AI

• SafeRide Health is transforming access to care for America’s most vulnerable populations and delivers technology-driven solutions for NEMT.
• As a Senior Software Engineer, AI, you will build AI-powered product experiences and platforms across the SafeRide ecosystem.
• Design, build, and own production services and user experiences for AI-enabled features (member chat/IVR, dispatch optimization, provider quality, fraud/waste/abuse detection, and internal tooling).
• Integrate and operate model-backed systems (LLMs, retrieval-augmented generation, classification/ranking, speech/ASR) with robust evaluation and safe fallbacks.
• Develop secure, scalable APIs and event-driven microservices; contribute to system architecture including data contracts, observability, resiliency, performance, and cost efficiency.
• Implement high-quality front-end experiences (React/Next.js); collaborate with design on UX quality, accessibility, and performance.
• Write maintainable code with strong test coverage (unit, integration, e2e); participate in code/design reviews and improve engineering standards.
• Instrument features with telemetry, dashboards, and alerts; run experiments (A/B tests) and iterate based on data and feedback.
• Champion privacy, security, and compliance (including HIPAA/PHI handling); contribute to responsible AI best practices across the SDLC.
• Collaborate in an agile environment with PM, DS/ML, QA, and Ops; document decisions, create runbooks, and support on-call rotations.

Senior Software Engineer, AI

• Define and drive the AI product strategy and multi-quarter roadmap across use cases such as member communications (chat, IVR), dispatch optimization, driver/provider quality, fraud/waste/abuse detection, and operations tooling.
• Lead problem discovery and solution validation through user research with members, clients, and internal operators; translate insights into hypotheses, PRDs, and success metrics.
• Partner with ML engineers and data scientists to ship model-backed experiences (LLMs, RAG, classification, ranking).
• Develop evaluation plans, A/B tests, and human-in-the-loop workflows.
• Establish product guardrails for safety, bias, privacy, and compliance (including HIPAA).
• Align with InfoSec and Legal on responsible AI practices and governance.
• Drive build/buy/partner decisions for AI infrastructure (e.g., model providers, vector databases, observability, feature stores) balancing velocity, cost, and risk.
• Instrument products end-to-end with telemetry, offline/online metrics, and post-launch monitoring; iterate quickly based on data and feedback.
• Communicate progress, tradeoffs, and results to executives and cross-functional stakeholders through clear artifacts and decision memos.
• Mentor PMs and influence peers by modeling strong product thinking, urgency, and ownership.

Senior Product Manager, AI

Accountant

• We are seeking a Senior Accountant who thrives in a high-growth, fast-paced environment.
• This is a hands-on role requiring deep analytical skills, high attention to detail, and a strong understanding of GAAP principles.
• The ideal candidate can operate independently while collaborating cross-functionally to support SafeRide’s mission of improving access to care for vulnerable populations.
• Key Responsibilities: Lead monthly accounting close procedures including journal entries, reconciliations, and reporting in accordance with GAAP; Manage and reconcile monthly customer billing and payments; Oversee prepaid expense schedules and prepare monthly amortization entries; Record and reconcile corporate credit card activity; Support billing process reconciliation between SafeRide’s front-end system and vendor payments; Prepare and maintain detailed balance sheet reconciliations and workpapers; Assist in annual external financial audits; Assist in periodic state and health plan audits; Help maintain accounting policies and internal controls; Support ad hoc accounting projects and cross-functional initiatives.