Jobs at Braze

Positions 10,369

Braze, headquartered in San Francisco, is a customer engagement platform that empowers brands to create real‑time, personalized messaging across mobile, web, and email. Since its launch in 2011, Braze has grown to 700+ employees and serves over 1,500 customers, including Fortune 500 names such as Netflix and Airbnb.

Braze hires across a spectrum of tech and business roles. Engineering teams prioritize React, Node.js, Python, and AWS; product managers focus on data‑driven feature prioritization; data scientists work with Spark and SQL; and marketing, sales, and customer success professionals drive growth and adoption. Candidates can expect fast‑paced projects, cross‑functional collaboration, and a culture that rewards experimentation and measurable impact.

Job Transparency gives you the full picture of Braze’s compensation and employee sentiment. By viewing real salary ranges, interview difficulty scores, and recent reviews, you can benchmark offers, negotiate confidently, and choose the role that matches your career goals.

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Frequently Asked Questions

What is it like to work at Braze?
Braze culture emphasizes autonomy, data‑driven decision making, and a mission to enable brands to connect with customers at the right moment. Employees report flexible remote options, regular hack days, quarterly OKRs, and a focus on continuous learning. On‑site perks include free meals, wellness programs, and a vibrant office with collaborative spaces.
What types of positions are available at Braze?
Engineering (frontend, backend, full stack, SRE, QA), Data (data engineer, data scientist, ML engineer), Product, Marketing, Sales, Customer Success, Finance, HR, Legal, Design, and more. Braze also hires for roles in UX/UI, DevOps, and content creation.
How can I stand out as a Braze applicant?
Show measurable impact from past projects, build a portfolio that demonstrates product knowledge, align your cover letter with Braze’s mission of personalized engagement, contribute to open source, and prepare for data‑centric interview questions focusing on A/B testing, analytics, and scalable architecture.

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