Uniswap Labs

HQ
New York, New York, USA
105 Total Employees
Year Founded: 2018

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Benefits at Uniswap Labs

Financial + Retirement

401(K)

Company equity

Office Perks

Company-sponsored outings

Free daily meals

Company-sponsored happy hours

Free snacks and drinks

Home-office stipend for remote employees

Professional Development

Continuing education stipend

Job training & conferences

Sponsored attendance to crypto related conferences.

Promote from within

Lunch and learns

Health Insurance + Wellness

Dental insurance

Disability insurance

Flexible Spending Account (FSA)

Health insurance

Life insurance

Team workouts

Vision insurance

Mental health benefits

Culture

Flexible work schedule

Open office floor plan

Remote work program

Child Care + Parental Leave

Generous parental leave

Vacation + Time Off

Paid holidays

Paid sick days

Unlimited vacation policy

Diversity

Mandated unconscious bias training

Diversity employee resource groups

ERC -Women was launched in Summer 2022 with about 30 members.

Hiring practices that promote diversity

Search the 14 jobs at Uniswap Labs

Recently posted jobs

2 Days Ago
New York, NY, USA
Blockchain • Software • Cryptocurrency • NFT • Web3
The Senior Smart Contract Engineer at Uniswap Labs will design and implement smart contracts for the Uniswap Protocol, contribute to the protocol's development, and research new smart contract paradigms. The role focuses on enhancing decentralized trading mechanisms within the Ethereum ecosystem.
5 Days Ago
Bangkok, Phra Nakhon, Bangkok, THA
Hybrid
Blockchain • Software • Cryptocurrency • NFT • Web3
The role involves growing Uniswap's community in the APAC region through organic efforts, engagement in local crypto communities, providing product feedback, and advocating for Uniswap on various platforms. Responsibilities include organizing meet-ups and reporting on activities to drive growth and success.
7 Days Ago
2 Locations
Remote
Blockchain • Software • Cryptocurrency • NFT • Web3
The Senior Data Engineer will design, implement, and optimize data analytics infrastructure, develop scalable data pipelines, create data models and reports, ensure data quality and governance, and mentor junior staff, while staying up-to-date with evolving data technologies.