Remote
Senior Product Designer
About this role
Orcrist is building a next generation data intelligence platform using cutting-edge technologies. We're handling petabyte-scale data with sub-second queries. Our product is a Kubernetes‑based platform delivered as B2B SaaS or as a self‑hosted on‑prem solution, including air‑gapped deployments. We enable customers across defense, law enforcement, and enterprise to turn mission-critical data into actionable intelligence.
Role We are looking for a Senior Product Designer (f/m/d) to own end-to-end design across core surfaces of the Orcrist Intelligence Platform. As a generalist, you will span the full product design process: framing complex problems alongside product managers, collaborating directly with stakeholders, designing data-dense interaction patterns, and validating solutions with subject matter experts (SMEs). You bring a strong product thinking mindset: balancing user needs, technical constraints, and business goals, and excel at turning data complexity into clear, actionable workflows that engineers can build with confidence.
What you'll do Own the full design process: Drive initiatives end-to-end from problem framing and information architecture to UI design, validation, and implementation QA. Product Thinking & Strategy: Partner closely with Product Management and Engineering to evaluate trade-offs, define scope, and align design decisions with platform constraints and business goals. Customer & Stakeholder Collaboration: Engage directly with end users, domain experts, and internal stakeholders to understand workflows, present design iterations, and align on decisions.
Multi-method Evaluation: Test and evaluate solutions using diverse validation methods (e.g. scenario walkthroughs, SME sessions, and usability testing). Systemic Design & Handoffs: Define reusable interaction patterns, align with our Design System, and deliver adoption-grade handoff packages (annotated flows, edge cases, acceptance criteria, component specs). Design for Complexity: Champion accessibility, performance, and data-dense usability across graph/network views, timelines, map/geospatial interfaces, and tabular record sets.