Senior/Staff Product Manager, Card Application Onboarding – Growth
Hotel Engine
Senior Product Manager, AI
SafeRide Health
full-time
Posted on:
Location: 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
AWSAzureSQL
About the role
- 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.
Requirements
- 7+ years of product management experience, including 3+ years building ML/AI-powered products or platforms (consumer or enterprise).
- Proven track record of shipping end-to-end experiences that improved core metrics, with accountability for KPIs and business outcomes.
- Strong technical fluency with modern AI/ML stacks (LLMs, prompt engineering, RAG, embeddings/vector databases, model evaluation/observability, feature stores, MLOps/CI-CD for ML).
- Ability to partner deeply with engineering and data science, write clear PRDs, reason about APIs and data contracts, and interrogate dashboards/queries.
- Excellent written and verbal communication, with the ability to simplify complexity and influence at all levels.
- Bias to action with structured prioritization; skilled at balancing speed and quality in a regulated environment.
- Preferred Qualifications: Experience in healthcare, logistics/marketplaces, or contact center products.
- Familiarity with HIPAA, PHI handling, data privacy, and responsible AI frameworks.
- Hands-on experience with tools such as Databricks/MLflow, Vertex AI/AWS Bedrock/Azure OpenAI, LangChain/LlamaIndex, Pinecone/pgvector, and analytics platforms such as SQL/Looker/Mode.
- Background in operations-heavy environments or routing/optimization problems.
