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Genentech · Remote · California, USA
Dave · Remote · USA
Pinterest · Remote · USA
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Grafana Labs · Remote · USA
Recidiviz · Remote · USA
Roofr · Remote · Canada
Airbnb · Remote · USA
Airbnb · Remote · USA
InMarket · Remote · USA
Netlify · Remote · USA
Render · Remote · USA or Canada
Coinbase · Remote · UK
Coinbase · Remote · USA
Thumbtack · Remote · Canada
InMarket · Remote · USA
Twilio · Remote · India
Supabase · Remote · Worldwide
Pinterest · Remote · USA
Oura · Remote · USA
Zocdoc · Remote · New York, NY, USA
Zocdoc · Remote · USA
Zocdoc · Remote · USA
Toast · Remote · USA
Wealthsimple · Remote · Canada
Smartsheet · Remote · USA
Monzo · Remote · UK
Monzo · Remote · UK
Monzo · Remote · UK
Airbnb · Remote · Bengaluru, India
Airbnb · Remote · USA
University of Manchester · Hybrid · Manchester, UK
Ohio State University · Hybrid · Columbus, OH, USA
Infinitas Learning · Hybrid · Utrecht, Netherlands
Klaviyo · Hybrid · Boston, MA, USA
Zalando · Hybrid · Berlin, Germany
Superhuman · Hybrid · San Francisco, CA +2 more
Match Group · Hybrid · Seoul, South Korea
Genentech · Hybrid · South San Francisco, CA, USA
Anthropic · Hybrid · San Francisco, CA, USA
Anthropic · Hybrid · San Francisco, CA, USA
Spotify · Onsite · London, UK
University of Manchester · Hybrid · Manchester, UK
Discord · Hybrid · San Francisco, CA, USA
Discord · Hybrid · San Francisco, CA, USA
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Employers hiring for Causal Inference on this page include Anthropic, Opendoor, and Airbnb. Causal Inference roles appear most frequently in engineering, data, and platform teams at companies that offer a 4-day week or another flexible schedule. Each listing indicates the seniority level and whether Causal Inference is a primary requirement or one of several preferred skills — expand any role above to see the full stack and responsibilities.
Causal Inference roles on this page span seniority levels, from entry-level and mid-level through senior, lead, and staff or principal positions. Filter by level in the sidebar to narrow the list above to the ones that fit you.
Lead with measurable outcomes over time spent — Causal Inference hiring managers at companies that run 4-day weeks or flexible schedules care about delivered value, not hours worked. Highlight projects where you shipped at a steady cadence, collaborated asynchronously, or reduced engineering toil through automation or tooling. Include concrete metrics (latency improvements, adoption numbers, cost reductions) rather than vague duty descriptions. Expand listings above to see the exact framing each employer uses in their job descriptions.
Pay depends on the role, seniority, location, and employer — not on the schedule alone. Causal Inference roles in tech and data typically command premium rates, and specific ranges depend on seniority and sub-specialty (e.g. backend vs frontend, infra vs ML). Individual listings above show exact bands where the employer publishes them.
Depends on the role, but Causal Inference candidates who also demonstrate async communication, clean documentation, and cross-functional collaboration are typically strong fits for employers that run 4-day weeks or flexible schedules — those teams rely on written-first communication and high-context handoffs. Technical-adjacent skills vary by stack. Browse the top skills shown in the sidebar to see which tags co-occur most often with Causal Inference on current listings.
Work-life balance
85+ excellent, 70+ great, 55+ good. How we score
Schedule
Work-life balance
85+ excellent, 70+ great, 55+ good. How we score
Schedule
