Craft.co

HQ
San Francisco, CA, US
65 Total Employees
Year Founded: 2015

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Benefits at Craft.co

Financial + Retirement

401(K)

Company equity

Office Perks

Company-sponsored outings

Fitness stipend

Company-sponsored happy hours

Free snacks and drinks

Home-office stipend for remote employees

Professional Development

Continuing education stipend

Job training & conferences

Online course subscriptions available

Promote from within

Lunch and learns

Diversity

Dedicated diversity and inclusion staff

Highly diverse management team

Diversity employee resource groups

Hiring practices that promote diversity

Health Insurance + Wellness

Dental insurance

Health insurance

Vision insurance

Wellness programs

Mental health benefits

Child Care + Parental Leave

Family medical leave

Generous parental leave

Culture

Flexible work schedule

Remote work program

OKR operational model

Vacation + Time Off

Paid holidays

Paid sick days

Unlimited vacation policy

Search the 9 jobs at Craft.co

Recently posted jobs

7 Days Ago
United States
Remote
Big Data • Software • Database • Analytics • Big Data Analytics
Craft is seeking a Data Engineer with 2+ years of experience in Data Engineering and Python. Responsibilities include building and optimizing data pipelines, analyzing datasets, designing software, and applying machine learning techniques. The role is remote with a preference for candidates in Eastern or Central time zones.
8 Days Ago
Warsaw, Warszawa, Mazowieckie, POL
Remote
Big Data • Software • Database • Analytics • Big Data Analytics
Seeking a Senior Engineering Manager to lead a core engineering team focusing on leadership, team building, and technical decision-making. Responsible for leading a globally distributed team, building a culture of continuous improvement, and collaborating closely with the Product Manager to deliver on the company's mission.
10 Days Ago
Poland
Remote
Big Data • Software • Database • Analytics • Big Data Analytics
Craft is seeking a Senior Data Engineer with 3+ years of experience in Data Engineering and Python. Responsibilities include building and optimizing data pipelines, analyzing diverse datasets, and applying machine learning techniques. The position offers a competitive salary, benefits, remote work, and opportunities for growth and development.