Client is an AI-native platform transforming compliance from manual, tedious work into automated workflows.
Fastest-growing compliance company, helping hundreds of companies save time and focus on secure building.
Recently raised $32M Series A, backed by Insight Partners, General Catalyst, Y Combinator, and other top-tier investors.
Team includes former founders, Olympiad medalists, and engineers from OpenAI, Stanford, MIT, and Berkeley.
Mission: Eliminate busywork for humanity, starting with compliance.
Company size: 11-50 employees.
Founded in 2024.
Key Job Info
Location: San Francisco (In-person)
Employment Type: Full-Time
Experience Required: 7+ Years
Salary Range: $230,000 - $300,000 per year
Visa Sponsorship: H-1B, O-1, OPT
About The Role
As Senior Product Designer, you will:
Architect, design, and improve core user flows for The Company's AI-driven compliance platform, which features dozens of interconnected modules and high-stakes decision-making.
Work directly with founders, engineering, and product teams to turn ambiguous problems into clear, scalable systems.
Own the design at The Company, shaping navigation, hierarchy, and cross-workflow coherence across the entire product.
Thrive in structuring complexity and simplifying without oversimplifying, making design decisions with immediate real-world impact.
Responsibilities
Own end-to-end information architecture for a platform with 10+ modules and deeply interconnected workflows.
Design systems supporting workflow resumption, progress tracking, and long-running user journeys.
Create navigational frameworks for both task completion and exploratory workflows.
Design multi-step, procedural workflows in compliance, security, audits, and policy review domains.
Surface cross-workflow dependencies and structure context for clear user guidance.
Partner with engineering to ensure designs scale from early-stage to mid-market customers.
Develop IA foundations that keep The Company simple, predictable, and powerful as new capabilities are added.
Collaborate closely with product and leadership to define problems, explore solutions, and ship quickly.
Establish design principles for automation, balancing streamlined friction and user control.
Requirements
7+ years of product design experience in production environments.
Demonstrated expertise in information architecture and systems work.
Experience designing products with 10+ modules, complex navigation, and multi-workflow interactions.
Proven ability to orchestrate multi-step, interconnected workflows with many edge cases.
Strong intuition for simplification while maintaining accuracy in high-stakes environments.
Ability to anticipate downstream effects of design decisions.
Background in fintech, healthcare, compliance, security, or legal tech preferred.
Experience designing for both startups and mid-market customers.
B2B design exposure.
Collaborative, clear, thorough, and fast designer with no ego or drama.
Excited to build foundational IA for automated compliance.
In-person work required in San Francisco.
Why In-Person SF Matters
Work closely with a high-caliber team: ex-Stanford, MIT, Berkeley engineers, Olympiad winners, ex-OpenAI engineers, former founders, and alumni from Apple, Netflix, Mercor, Shopify, and more.
Decisions are made live, fostering a dynamic and energetic office environment.
Opportunity to collaborate and learn from top talent in real time.
Benefits & Perks
100% medical, dental, and vision coverage for employees.
401k with employer match.
Unlimited PTO and federal holidays.
Grubhub stipend and all meals covered in-office.
Gym membership covered.
Frequent team dinners, events, and off-sites.
Interview Process
Application Review
Initial Screen
Tech Screen
Founder Screen
Onsite/Super Day
Offer
Hired
Green Flags
Background in fintech, healthcare, compliance, security, or legal tech
Experience designing for both startups and mid-market customers
Bias toward clarity, thoroughness, and speed
Exceptional candidates with less than 7 years considered
Work with former founders and A players
Red Flags
Lack of startup/growth-stage experience
Candidates too junior or entry-level
Weak design opinions/lack of data-driven approach
Unfamiliarity with complex, "builder-oriented" products