Samaya AI→
Product Designer at Samaya AI in Mountain View, CA
Skills
Job Description
Role
As a Product Designer at Samaya, you will design and shape the end-to-end user experience of our AI-driven platform. As we scale from tens of thousands of expert users who rely on Samaya daily, your work will be critical in ensuring our product is intuitive, elegant, and deeply aligned with how experts think and work. At Samaya, designers are hands-on builders. You will use AI-native tools (e.g., Cursor) to prototype rapidly, write and edit production-ready HTML/CSS when needed, and collaborate directly in the codebase alongside engineers. We do not operate in a static-spec handoff model - design and implementation are tightly integrated.
Workflow Delivery: You will craft thoughtful, high-quality interfaces for our web applications, translating complex AI capabilities into seamless and delightful user experiences. You’ll work at the intersection of AI, research workflows, and expert knowledge systems.
Design Systems & Foundations: You will help build and evolve our design system to ensure consistency, scalability, and speed as our product surface area grows.
In this role, you will define how experts interact with AI — and help build the design culture and standards that scale with our engineering and product teams.
Responsibilities
- Collaborate closely with founders, engineers, and product managers to define and refine product direction
- Conduct user research and usability testing, incorporating insights into rapid design iteration
- Design and own intuitive, elegant user interfaces across our product
- Prototype directly in code using Cursor or similar tools. shipping your own front-end explorations, not just Figma mocks
- Translate complex AI capabilities and product concepts into simple, user-friendly workflows
- Partner with ML engineers to translate model capabilities and constraints into design decisions
- Contribute to and maintain a scalable design system
- Ensure consistency and high quality across all user touchpoints
- Take ambiguous product problems and turn them into clear, thoughtful design solutions
Experience
Required
- 3-5 years experience in UI/UX design with a strong portfolio demonstrating shipped products
- Proficiency in Figma and modern design tooling
- Experience writing HTML, CSS, and basic JavaScript; uses Cursor or similar AI coding tools as part of your daily design workflow
- Strong problem-solving ability and high attention to detail
- Ability to thrive in a fast-paced startup environment
- Excellent communication and cross-functional collaboration skills
Preferred
- Experience designing AI-driven or data-intensive products
- Experience designing for expert or professional users (researchers, analysts, clinicians, lawyers) where trust, precision, and workflow integration matter more than simplicity alone
- Proficient using cursor, v0, or similar tools to go from design idea to working prototype without engineering support.
- Strong user research and usability testing experience
- Excited about helping define and scale design culture within a growing team
Compensation
The cash compensation range for this role is $150,000 - $200,000.
Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above.
In addition to the base salary, we may consider equity as part of our total compensation package.
Inclusive Hiring
Interview Accommodations: We are committed to ensuring an equitable selection process for everyone and welcome applicants from varied backgrounds to enrich our team. If you require accommodations or adjustments during our recruitment process, please inform us.
Equal Opportunity Employer: We do not discriminate on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.
Visa Sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. If we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
About Samaya
Samaya builds Expert AI Agents that turn information from the global financial market into investment conviction.
The global financial market is the largest and most valuable information ecosystem in the world, connecting billions of people, influencing every type of productive human activity, and driving tens of trillions of dollars of value. At its core is investment decision-making: identifying areas of productive activity, allocating resources, carried out by millions of people across the globe.
But that process is at a breaking point. The past two decades have brought an exponential increase in market complexity: more information sources, more asset types, more disruptive themes like AI reshaping every corner of the market. For investors, this means exponentially more depth, breadth, and speed required on every decision.
The response is a forced tradeoff: zoom in on a sector or basket of companies and manage the flood, but lose sight of adjacent dynamics that move markets. Or zoom out to track broad themes, but lose the needle-in-a-haystack details that drive precise decisions. No market sector evolves in isolation, and this lack of a simultaneously zoomed-in and zoomed-out picture costs hundreds of billions in missed or suboptimal investment decisions every year.
Samaya was founded to reimagine investment decision-making across the global financial market. General-purpose AI can’t reason about cause and effect across complex economic systems, embed firm-specific context, or execute reliably over long-horizon workflows. We built something different: a purpose-built AI system combining proprietary financial reasoning models, a long-horizon execution engine with persistent memory, and full auditability. Built by a team from Google DeepMind, Meta, Microsoft, and Stanford with 100+ papers and 50k+ citations, it achieves 98% accuracy on financial reasoning tasks where generic LLMs reach 53%. The result is AI that learns how each investor thinks and seamlessly takes them from information to conviction.
Our user base has scaled to 10,000+, with partnerships spanning top financial institutions worldwide, including Morgan Stanley. We’re backed by $43.5M in Series A funding led by NEA, with investors including Eric Schmidt, NVIDIA, Databricks, Yann LeCun, Jeff Dean, Marty Chavez, and Mark Cuban.
Our Operating Principles
- Put Users first. Our users rely on us to do their jobs. We exist because our users trust us to help them achieve their goals. In return for this trust users place in us, we keep their needs as our top priority.
- Win as a collective. We are high achievers with a drive to succeed. We build strong bonds over this shared drive. We dive in to help when one of us needs it. We’re kind to each other and boost each other to succeed and grow professionally and personally. We build trust with each other by making commitments and consistently delivering on them. This trust means we genuinely support each other, embracing feedback as a tool for growth and improvement. We win by operating this way, as one team.
- Focus and iterate quickly. Bias for action makes us build and learn quickly. Iterating fast requires clarity on what outcomes we are targeting and why. Prioritizing the important things, taking full ownership and initiative, making fast initial progress, and rapid iterations lead to the best outcomes.
- Innovate Relentlessly. We pursue novel insights, challenging the status quo and reimagining how things are done. We aren’t attached to the past when improving our product and how we work in the future. We actively invest time in innovation, thinking “outside the box” to consistently raise our standards.
- Prioritize Outcomes over Egos. We are committed not to a person, an idea, or an opinion but to continuously making progress to our goals. Sometimes, our goals are ambiguous; in those moments, we iterate, learn, and move on to the next inquiry. We ask the tough questions with kindness, dropping our egos in our pursuit of evidence. For our business goals, we learn from our users. For our scientific goals, our understanding is built through rigorous experimentation, research, and observation. For our personal goals, we embrace candid feedback and collaborative learning to guide our progress.