Principal Product Designer, Anaconda
Design Systems & AI
Open-source data science platform
Posted today
Open-source data science platform
501-1000 employees
Posted today
501-1000 employees
Company mission
To empower people with data literacy, so they can ask better questions and make better sense of the world.
Role
Who you are
- 12+ years of product design experience, including several years owning a design system at scale, tokens, component architecture, and governance, not only consumption
- Engineering fluency: comfortable working in TypeScript/React component codebases and Storybook, and applied in technical architecture discussions
- Proven experience leading a design system migration or re-platform in a production environment, including scoping what ships and what parks
- Demonstrated experience designing AI-driven or agentic product experiences
- Experience using AI assisted tools, such as Claude Code, as part of a professional workflow, including reviewing and validating AI generated output before it ships
- A track record of leading through influence in flat or ambiguous structures, defining the operating model rather than executing within one
Desirable
- You've taken a design system through a framework migration at enterprise scale and can walk us through what you kept, cut, and parked — and why
- Contributions to open-source design systems or component libraries, with public work you can show
- Experience designing for developer tools, data science, or technical audiences
- You've built design tooling or automation — internal tools, Figma plugins, or AI-assisted design workflows — that other designers adopted
- Experience working across converging or multi-product platforms where the design system was the connective tissue
- A clear point of view on how AI is reshaping design practice, shaped by hands-on work designing agentic experiences
- You embody Anaconda's values: 'Curious by Default', 'Build Together', 'Own It', and 'Lead with Guts and Heart', and their behaviors: Clarity, Care and Candor
- You care deeply about fostering an environment where people of all backgrounds and experiences can flourish
What the job involves
- Anaconda's Design organization now owns our design system end to end, from Figma libraries and design tokens through to the code components engineers ship. We're mid-flight on a migration of our component architecture to a modern stack, converging two product surfaces into one platform, and defining how a design practice works in an agentic AI world
- As our Principal Product Designer, you'll own the design system as a product: its architecture, its governance, and its evolution across converging surfaces. You'll partner directly with engineering to land the migration, then build the AI-forward design practice on top of it: the patterns, tooling, and workflows for designing agentic product experiences. This is a senior IC role reporting to the VP of Design, operating with wide autonomy in a deliberately flat, senior team
- Own the design system end to end: design tokens, component libraries, documentation, and the code components engineers consume, across two converging product surfaces
- Lead the migration of our component architecture to a modern stack (shadcn/ui, Storybook), partnering with engineering to re-baseline scope and ship a complete, production-quality tranche
- Define the governance that outlives any individual: versioning, contribution model, release process, and explicit exit criteria for design handoff that both design and engineering sign
- Establish Anaconda's AI-forward design practice: patterns, guidelines, and tooling for agentic product surfaces, and ship the first product experiences that use them
- Work in design and code: prototype in the production stack and review component implementations
- Raise the bar across a senior design team through influence: critique, pairing, and visible craft
- Use AI-assisted tools, including Claude Code, reviewing and validating AI generated output before it ships
- Your Impact Will Be Measured Through:
- Completion and adoption of the component architecture migration across both product surfaces
- Reduction in design-to-engineering handoff time and rework, measured against explicit exit criteria
- Cross-team adoption of design system governance: versioned releases, contribution model, and shared definition of done
- AI-forward design patterns shipped in production surfaces and reused across the platform
Application process
- The applicants will be reviewed on an ongoing basis until the role is filled
Our take
Anaconda is a titan providing leading problem-solving tech for data science and machine learning applications. Anaconda began back in 2009, marshalling tools for Python use in data science, and has no doubt helped consolidate Python’s position as the language of preference in this field. This tight relationship means Anaconda is primed to continue a strong and dominant trajectory.
More companies than ever are increasing their data science investments, as large pools of digital data become increasingly available and vital across most areas of business. Machine learning is seeing a similar uptick in demand and is providing fertile and future-focused opportunities for a similarly broad sweep of industries. This suggests that Anaconda’s large customer base, with approximately 30 million users across over 235 countries and regions, and partnerships with the likes of Intel and IBM, is likely to see robust consolidation and growth over the coming years.
The increasing importance of these highly dynamic and changing sectors means there is real appetite for tools that help organizations develop data literacy - and Anaconda is the market’s go-to platform to get there. The company is looking to maintain its strong momentum through new acquisitions, such as PythonAnywhere, thereby strengthening the breadth of its Python offerings.
Steph
Company Specialist at Welcome to the Jungle
Insights
29% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Aug 2025
$150m
SERIES C
Apr 2021
$38.5m
SERIES B
Total funding: $246m
Company benefits
- When it comes to pay increases, there isn’t red tape like your average corporate organization. We don’t have a max cap, and we pay our salary increases based on the industry benchmarks of the specific role in the job market
- We ensure salary transparency for each employee. We show you the benchmarks in the industry for your title, where you live, and how your salary stacks comparative to other jobs with the same title
- Spot bonuses based on great outcomes
- Medical, dental, vision, HSA, life insurance, and 401(K)* (based on country)
- Competitive stock options
- Open vacation policy
- Paid parental leave for both moms and dads
- Anaconda Snake Days; In addition to government holidays, a once-a-month company-designated day off to relax and recharge
- 100% flexible working policy. While we have core business hours, we focus on results, not when you’re at your desk
- Quarterly fitness membership or home office reimbursement
- Low-meeting Fridays
- Monthly anonymous “Ask Me Anything” sessions with senior leadership
- Employee recognition known as the annual Ana-CAN-DO awards
- An open-door policy and senior leadership office hours - transparency comes first, and all ideas matter
- Annual Anaconda Olympics
- Homecoming (bringing everyone together (safely))!
- Weekly team happy hours
- Lunch & learn trainings
- Virtual and in-person team offsites
Company HQ
Financial District, Austin, TX
Leadership
Peter Wang
(Co-Founder, Chief AI & Innovation Officer)After graduating with a degree in Physics from Cornell, they were a Software Developer for Immersive Technologies and a Systems Administrator at ECornell, Cornell's online learning venture. They then were the Director of Technical Architecture at Enthough, Inc, before founding Streamitive, LLC, Continuum Analytics, Inc and then Anaconda, Inc.
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