Jobs at Array

Positions 49,898

Array is a data‑infrastructure startup founded in 2015 that builds a cloud‑native platform for real‑time data ingestion and analytics. The company’s flagship product, Array Firehose, lets enterprises stream millions of events per second into analytics pipelines while keeping latency under 50 ms. With offices in San Francisco, New York and a distributed team, Array has raised $120 M in Series C funding and serves Fortune 500 customers such as PayPal, Shopify and Verizon.

Array recruits across engineering, product, sales, and support. Typical openings include Backend Engineer (Python/Go), Data Platform Engineer, Site Reliability Engineer, Product Manager – Data, and Customer Success Engineer. Candidates can expect a multi‑stage interview process that starts with a live coding challenge, followed by a system‑design discussion and a culture‑fit assessment. Compensation packages usually combine a competitive base salary, a sizable equity grant, and performance bonuses tied to company milestones.

Job Transparency’s listings for Array provide the exact salary ranges for each role, the geographic pay differential, and anonymized employee sentiment scores. By comparing Array’s compensation with industry benchmarks and reading real reviews, job seekers can negotiate more effectively and choose opportunities that align with their career goals.

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Frequently Asked Questions

What’s it like to work at Array?
Array’s culture blends startup agility with a data‑driven mindset. Employees enjoy flexible remote work, quarterly hackathons that encourage cross‑team experimentation, and a mentorship program that pairs junior engineers with senior data scientists. The company values continuous learning, so team members regularly attend or present at industry conferences such as Strata and KubeCon. Transparency extends to decision‑making: product roadmaps and quarterly OKRs are posted in a public dashboard accessible to all staff.
What types of positions are available at Array?
Array hires across the full tech stack and business spectrum. Engineering roles include Backend Engineer, Data Platform Engineer, Site Reliability Engineer, and Machine Learning Engineer. Product teams look for Product Manager – Data, UX Designer, and Technical Program Manager. Customer‑facing roles cover Customer Success Engineer, Technical Sales Engineer, and Partner Enablement Manager. Support roles such as Platform Support Engineer and DevOps Engineer also appear frequently.
How can I stand out as an applicant for Array?
Showcase hands‑on experience with streaming data pipelines—GitHub repos that demonstrate real‑time ingestion or Kafka‑based solutions will catch attention. Prepare for the interview by mastering system‑design questions around low‑latency data processing and by practicing Python or Go coding challenges. Highlight any contributions to open‑source data tools or publications in data‑engineering blogs. Finally, articulate how you would improve Array’s product roadmap, referencing specific features like schema evolution or multi‑region replication.

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