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Sigma is transforming how businesses allow customers to build apps, agents and dashboards on top of governed enterprise data. Hence, we are growing the design team and looking for designers who are excited to solve challenging problems, deliver impactful capabilities throughout our stack to build world-class technology. You will be part of a talented team of designers with a shared mission to make data easily accessible for all users.
We're looking for a Senior Product Designer / Design Engineer who sits at the intersection of interaction design and AI engineering: someone who uses AI to ship faster, builds the skills and evals that make AI more effective, and invents new interaction paradigms for how people work alongside intelligent systems.
This isn't a traditional design role. Yes you'll be using Figma, but also writing code with AI, training it, evaluating it, and questioning every assumption about what a "UI" can be when the interface itself reasons.
Please note this is a 4 day on-site role in our San Francisco office.
What You'll Do
Start with AI, stay with AI. Use LLMs to clarify scope, draft specs, surface edge cases, and align your team before committing to a direction, use AI coding tools to build and iterate on the solution itself, and merge code to prod when fits.
Prototype in code. Build working interfaces with Cursor and Claude Code, guiding structure, behavior, interaction, motion and UX quality while AI handles implementation. Partner directly with engineering to decide what moves into the product and what stays as a validated spike.
Bring it to production. Fix small interaction and refinement issues directly on prod code.
Design new AI interaction paradigms for conversational interfaces. Invent and validate novel patterns for how users converse with, direct, and trust AI systems - especially in data contexts where precision and confidence matter.
Write evals, skills, and help on tools. Build the scaffolding that makes AI reliable: evaluation frameworks, reusable skills, and tooling that helps Sigma's AI features behave predictably and improve over time.
Shape model behavior. Iterate on evals and training to improve AI performance on design output. In other words: teach AI how to be a great designer.
Set the craft bar. Define what great AI-native UX looks like at Sigma: patterns and principles the broader team builds on.
What We're Looking For
4+ years in interaction design or design engineering, with recent hands-on AI tooling experience — not just prompting, but building.
Demonstrated use of AI coding assistants to ship real product (and side projects). You can describe what you built, how AI accelerated it, and where you had to steer it.
Experience writing evals, agents, prompt libraries, or skills for AI systems. You understand why evaluation is the hardest part of AI product development.
Strong interaction design fundamentals: you know when to reach for a new pattern and when to extend a familiar one, and you can defend that choice to anyone.
Opinions about AI UX: trust signals, error recovery, progressive disclosure of reasoning and real examples of how you've addressed these.
Exceptional ability to communicate design decisions to PMs, engineers, ML researchers, and executives.
A portfolio that includes AI-powered or AI-adjacent product work.
Portfolio Requirements
Transformed intricate interaction problems into elegant flows: bonus if includes conversational interfaces
We want to see designs that have been successfully released that demonstrate system-wide thinking, breadth and depth in interactive design skills and AI first
We want to see your process and progressive evolution of your designs, including the business problem you were trying to solve, constraints and assumptions you needed to work within, where the design started and your significant iterations leading to the final product.
We want to understand how your designs furthered company objectives while meeting user needs
The base salary range for this position is $210,000 - $250,000 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for a variable pay (based on goal achievement), stock options, as well as a comprehensive benefits package. About us:
Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences.
Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth.
Come join us!
Benefits For Our Full-Time Employees:
Equity
Generous health benefits
Flexible time off policy. Take the time off you need!
Paid bonding time for all new parents
Traditional and Roth 401k
Commuter and FSA benefits
Lunch Program
Dog friendly office
Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow .
Note: We have an in-office work environment in all our offices in SF, NYC, and London.
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