Base salary of $220K–$300K plus competitive equity. Replay offers 100% medical/vision/dental coverage, unlimited PTO, and up to $10K in relocation support.
We are looking for a Backend Engineer with 3+ years of experience to own and evolve the critical data processing pipeline at Replay, the primary source of real, proprietary enterprise data for the world's leading frontier AI labs. You'll join a small but mighty engineering team of five, backed by a multi-eight-figure run rate and massive demand from customers like the top frontier labs, RL gyms, and data labeling companies. We need someone who has personally shipped and operated production backend systems, thrives in a fast-moving startup environment, and brings a strong sense of ownership. Ideally you've worked at both a strong-name company and an early-stage startup, and you hold a degree from a top STEM program. This is a high-impact, ground-floor opportunity to shape engineering culture at one of the fastest-scaling companies in AI data.
What will you be doing?
Building and scaling multi-stage, high-volume data processing pipelines that de-identify sensitive enterprise data (Slack exports, Gmail, Google Drive, codebases, project management tools) and make it AI-training ready
Owning backend systems end-to-end — design, delivery, debugging, correctness verification, and safe recovery — ensuring silent failures, duplicated output, and stale data are caught before customer delivery
Making retries, checkpoints, partial failures, replay, backfills, and rollbacks safe and understandable across asynchronous orchestration, batch workers, queues, and object storage
Building internal tooling and dashboards to understand pipeline performance, investigate data quality, and support release decisions with queryable provenance
Collaborating closely with ML, full-stack, platform, and security teammates to process new data modalities and expand the pipeline's capabilities
Replay is the primary source of real, proprietary enterprise data for the world's leading frontier AI labs. Every day, companies generate invaluable data through collaboration, communication, and building. We acquire that data, transform it into de-identified datasets that remain useful, and license it directly to the frontier labs building what comes next.
Public and synthetic data can only take frontier models so far — the next generation of AI progress depends on real, proprietary data grounded in how actual businesses operate. We've scaled from $0 to a multi-eight-figure run rate in a matter of months, and we're just getting started.
We're a fast-growing, in-person team based in Dumbo, Brooklyn, backed by Floodgate, Afore Capital, Ludlow Ventures, and Hustle Fund. Learn more at replay.ai.
Team size
14 employeesFounded
Website
www.replay.ai/Total funding
$5.5MCompany locations
At Replay, we're a small, high-conviction team that moves fast and holds each other to a high bar. There are 6 core values we live by:
Be the painkiller
Lead with empathy, understand the fundamental problem, and fix it.
Keep your promises
If you say you're going to do something, do it.
Swing big, learn fast
Bias towards action, learn by doing, and pursue the big opportunities.
Make it world-class
With everything you do, no matter how big or small, ask: "is this world-class?"
Carry each other
We win and we lose as one team. Show humility, help your teammates.
Set good goals
What's the outcome (not the output) you're aiming to achieve.
Replay acquires enterprise data from collaboration tools, documents, files, and business systems, then transforms it into de-identified datasets that remain useful for training frontier AI models. We also build software that retrieves information, guides workflows, and takes carefully bounded actions — all grounded in real, proprietary data from how businesses actually operate.