Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform

helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating

with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from

anywhere in the world. If you're excited to shape the future of design and collaboration, join us!

The Figma Research team is hiring an Director, Research - AI Evals to own how we measure the quality of Figma's AI-powered

experiences. As Figma ships more AI capabilities across our products, the question "is this really good?" has never mattered more

— and answering it rigorously is what this role exists to do. You'll define what "good" means for our AI features, build the

frameworks and quality bars to measure it, and turn that into trusted signal that product teams rely on to decide what to ship.

The ideal candidate brings deep, hands-on experience evaluating AI/LLM-powered products — blending human evaluation with

automated, model-based approaches — along with the product instinct and communication skills to make evaluation genuinely useful.

Partnering with Product, Design, Engineering, and Data Science, you'll sit upstream of nearly every AI shipping decision at Figma

and directly shape the quality of features used by millions of people.

This is a full time role that can be held from one of our US hubs or remotely in the United States.

What you'll do at Figma:

Own AI evaluation methods and operations for Figma's AI-powered experiences — define quality dimensions, design how we measure

them, and turn results into decision-ready signal

Build and maintain evaluation frameworks, rubrics, golden datasets, and quality bars, combining human evaluation with

automated/model-based approaches (e.g., LLM-as-judge) where appropriate

Partner with engineering to stand up repeatable, reproducible evaluation pipelines and regression testing, so evaluation is a

routine part of how AI features are built and shipped

Produce clear readouts and dashboards that let stakeholders confidently make go/no-go and prioritization decisions
Socialize a shared definition of quality so evaluation standards are adopted across teams rather than re-invented — and

advocate for evaluation as a strategic partner in the product process

Manage a small team to execute our AI evals in partnership with contractors, internal staff, and/or LLMs

We'd love to hear from you if you have:

10+ years of experience in product, research, applied research, or a closely related field, including 2+ years of management

experience

Direct, hands-on experience owning the evaluation of AI/LLM-powered products
Expertise designing and running AI evaluation — human evaluation programs, rubric and benchmark/golden-dataset construction,

inter-rater reliability — and sound judgment about when and how to apply automated/model-based approaches (e.g., LLM-as-judge),

including their limitations

Strength across both qualitative and quantitative methods, comfort with data and metrics, and the ability to reason about model

behavior

Demonstrated success in identifying the riskiest assumptions behind an ambiguous quality question, prioritizing them, and

designing right-sized evaluation to build confidence

A proven track record of gaining buy-in from executive and cross-disciplinary stakeholders — transcending methodology to

articulate a larger user story and the "so what" to inspire action

While it's not required, it's an added plus if you also have:

Experience building or co-building automated evaluation pipelines and regression testing in partnership with engineering, or

familiarity with eval tooling (e.g., Braintrust, LangSmith, DeepEval, or equivalents)

Experience standing up a new function, practice, or discipline from scratch
2+ years in product design, user-centric product management, data science, product development, and/or front-end engineering
A familiarity and depth of experience using Figma's products

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop

their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the

job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Pay Transparency Disclosure

If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below.

Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications

objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of

role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified.

For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of

between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information.

Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision,

retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits,

generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement.

Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s

compensation and benefits are subject to change and may be modified in the future.

Annual Base Salary Range:

$258,000—$348,000 USD

At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions

allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to

equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age,

citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law.

We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the

interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require

accommodation, please reach out to accommodations-ext@figma.com. These modifications enable an individual with a disability to

have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without

disabilities.

Examples of accommodations include but are not limited to:

Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews

To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their

cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.

By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or

supporting materials will be processed in accordance with Figma's Candidate Privacy Notice.

Roll

Director, Research - AI Evals

Kategori

Kultur, media, design

Plats

San Francisco

Publicerad

17 juli

Sista ansökningsdag

16 augusti

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Key Responsibilities: • New enterprise logos New enterprise logos at £200K+ ACV, with named GSIBs, global asset managers, and major insurers in scope, spanning multiple geographies and buying centres. • Growth segment pipeline and conversion, Growth segment pipeline and conversion, building a repeatable, higher-velocity motion for the long tail of financial institutions, fintechs, and corporates that need regulatory intelligence but operate with faster procurement cycles and different value drivers. • Net revenue retention and expansion Net revenue retention and expansion within the installed base, identifying migration paths from acquired products into the core CUBE platform and maximising account value over time. • Pipeline integrity Pipeline integrity — a clean, honest, well-qualified forecast that the business can plan against, free of date-stuffing and wishful close dates. • Market and competitive intelligence Market and competitive intelligence — a current, informed view of buyer behaviour, competitive positioning, partner ecosystems, and regulatory drivers that shapes how CUBE prioritises and invests commercially. 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