PictorLabs provides AI-powered virtual staining that converts a single unstained tissue sample into multiple diagnostic-equivalent virtual stains, preserving tissue and speeding analysis. The company…
PictorLabs provides AI-powered virtual staining that converts a single unstained tissue sample into multiple diagnostic-equivalent virtual stains, preserving tissue and speeding analysis. The company…
Pictor Labs is the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis.
Our breakthrough
DeepStain™
and
ReStain™
technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities.
Position Overview
You will own Pictor Labs' AI-powered virtual staining platform end-to-end, ensuring it is expertly packaged, seamlessly deployed, robustly secured and monitored, and efficiently scaled across cloud and regulated healthcare environments. You'll partner closely with globally distributed engineering teams (U.S., India, Israel) to ship reliable, enterprise-grade deployment solutions that customers love and IT departments trust. This role sits at the critical intersection of cutting-edge AI technology and real-world healthcare deployment, where your decisions directly impact patient care and clinical workflows.
Key Responsibilities
Lead deployment strategy across cloud, hybrid/on-premise scenarios, and third-party integrations for healthcare environments.
Define platform surface area for tenants and administrators: SSO (SAML/OIDC), RBAC, audit logs, quota/usage management, observability, and admin tooling.
Required Qualifications
Product management experience: 5+ years of product management experience, including hands-on ownership of cloud deployments or platform/infrastructure products.
Technical delivery expertise: familiarity with modern delivery stacks including containers (Docker), orchestration (Kubernetes), IaC (Terraform/CloudFormation), CI/CD, observability, and feature flags.
Regulated environments: experience working in or adjacent to regulated environments (healthcare preferred; fintech, government, or other regulated sectors also relevant).
Preferred Qualifications
Exposure to digital pathology/medical imaging workflows or healthcare data standards (DICOM, HL7/FHIR).
Advanced security knowledge: deep familiarity with enterprise security patterns, compliance frameworks, and regulatory audit processes.
Experience with AI/ML platform deployments and MLOps workflows.
Benefits
Competitive salary with performance-based incentives
Equity participation in a rapidly growing company
Comprehensive benefits package, including health, dental, and vision insurance
Opportunity to work with a talented and passionate team at the cutting edge of pathology AI
Pictor Labs is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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Translate requirements into delivery: write comprehensive PRDs, manage product backlog, groom user stories, and coordinate day-to-day execution with distributed engineering squads.
Ship compliant, secure releases: partner with Security, QA, and Regulatory teams to meet healthcare and regulated sector requirements (HIPAA, 21 CFR Part 11, ISO/IEC security controls).
Optimize deployment reliability: improve diagnostics, telemetry, and incident response; establish clear SLIs/SLOs and customer-facing SLAs.
Enable customer success: collaborate with field sales to understand customer environments, remove deployment blockers, and reduce time-to-value.
Drive cost optimization and scalability: right-size infrastructure investments and track unit economics for deployments.
Coordinate across global engineering hubs: manage seamless collaboration and delivery with distributed engineering teams spanning Los Angeles HQ, Delhi, and Tel Aviv, ensuring timezone-friendly workflows and clear communication.
Create comprehensive documentation: own admin guides, runbooks, and deployment playbooks for customers and internal teams.
Technical communication: strength in technical decision-making and communication; comfortable discussing networking, security, and architecture with engineers and IT administrators.
Distributed team leadership: proven ability to lead globally distributed teams with clear sprint rituals, comprehensive specifications, and timezone-friendly collaboration.
Security fundamentals: understanding of network segmentation, private link/VPN, secrets management, KMS, key rotation, and audit requirements.
Startup execution: bias to action, comfort with ambiguity, and track record of 0→1 and 1→n product execution.
Cross-functional collaboration: experience collaborating between R&D, Machine Learning development/MLOps, and Software Engineering functions.
