symplr · 15 hours ago
Senior Product Manager - AI
United States
Full-time
Remote
Senior Level
$120K/yr - $140K/yr
5+ years expsymplr is focused on enhancing AI capabilities within their portfolio, and they are seeking a Senior Product Manager to lead product strategy and outcomes for AI initiatives. This role involves defining and prioritizing AI opportunities, ensuring governance and trust in AI practices, and standardizing delivery patterns across the organization.
Health CareInformation TechnologySoftware
Responsibilities
Define the ML/Applied AI product vision and roadmap aligned to enterprise strategy
Identify and prioritize ML and AI opportunities across product lines; drive ROI framing, sequencing and ‘build vs. buy’ evaluations
Establish portfolio success metrics (adoption, outcomes, quality, reliability, cost) and ensure roadmap decisions reflect them
Lead discovery with customers and internal product teams to understand workflows, pain points and constraints of regulated healthcare environments
Convert opportunities into clearly defined use cases: target users, jobs-to-be-done, workflow touchpoints, expected benefits and measurable outcomes
Define criteria for when ML/AI is appropriate vs. when deterministic rules provide better value
Produce clear product requirements (PRDs) for ML/AI capabilities: data needs, feature definitions, integration contracts, UX requirements and release criteria
Drive data readiness gating: availability, quality, labeling needs, lineage and tenant isolation requirements; coordinate with data engineering and product teams to close gaps
Partner with POs and engineering leads to translate strategy into executable delivery plans, milestones and dependency management
Define success metrics and evaluation strategy: offline evaluation, gold datasets, human-in-the-loop review, thresholding/confidence behavior and regression testing
Establish post-launch lifecycle plans: monitoring, drift detection signals, retraining/refresh cadence (where applicable) and iterative improvement backlogs
Ensure consistent release criteria and quality bars across ML/AI solutions (performance, latency, scalability, reliability, and cost)
Partner with Security, Compliance, Legal and Architecture to define product requirements for PHI/PII handling, tenant isolation, retention policies and auditability
Ensure safe and trustworthy AI practices are embedded in requirements including (as applicable): Content filtering and policy enforcement, Grounding/citation patterns for retrieval-based or generative outputs, Safe failure modes, fallback behavior and user transparency, Prompt/data handling constraints and vendor/model risk considerations, Define audit and traceability expectations: logging, model/prompt/versioning, evaluation artifacts and incident response workflows
Standardize reusable ML/AI delivery patterns across symplr (intake templates, feasibility gates, evaluation harnesses, monitoring dashboards, feedback capture and launch checklists)
Drive alignment with shared platform capabilities to ensure scalable adoption (tenant configuration, event status propagation, identity/access patterns, feature flagging, observability)
Enable multi-tenant configurability and consistent policy enforcement across products and environments
Qualification
Required
5+ years of product management experience delivering enterprise SaaS products (platform, data, analytics or workflow products preferred)
Demonstrated experience delivering ML/AI-enabled product capabilities (predictive models, NLP/document intelligence, recommendations, optimization, anomaly detection and/or generative AI)
Strong product discovery and requirements skills: customer research, PRDs, roadmap planning, prioritization and stakeholder alignment
Working knowledge of ML/AI evaluation and lifecycle management: metrics, offline testing, human review loops, monitoring signals and iterative improvement
Strong cross-functional leadership across engineering, data science and data engineering
Preferred
Experience in healthcare or other regulated environments
Familiarity with LLM product patterns (retrieval-augmented generation, tool use, guardrails) and/or cloud-native ML delivery (AWS preferred)
Experience with multi-tenant product design and shared service adoption
Company
symplr
Symplr is a provider of healthcare governance, risk, and compliance solutions and services.
1001-5000 employees
H1B Sponsorship
symplr has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (3)
2023 (1)
2022 (6)
2021 (1)
2020 (6)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
Charlesbank Capital PartnersPamlico Capital
2022-01-05Private Equity
2021-07-12Private Equity
2018-10-23Acquired
Leadership Team
Hugo Doetsch
Chief Financial Officer
Patrick Birmingham
Executive Vice President, Credentialing Operations
Recent News
2025-11-10
SalesTech Star
2025-11-08
Company data provided by crunchbase