Sardine
1 open Forward Deployed Engineer role at Sardine. Curated with comp bands.
Comp on the board: $160K–$220K.
On the board since Jul 2026 · still hiring
Our take
Why Sardine
One of the densest FDE verticals nobody slides — fully remote fincrime AI, causal-impact evals.
- FDE type
- True forward-deployed
- Travel
- Remote-first
- Comp
- Competitive
- Stage
- Growth-stage
A good fit if you're…
- Applied-AI / data-science engineers who want remote deployment work
- People drawn to fraud, risk, and compliance as a technical problem
- Candidates who like owning eval pipelines and proving causal impact
What they do
Sardine builds fraud-and-risk AI used by 300+ banks and fintechs across 70 countries, with $145M raised from a16z, Visa, and Experian. Financial-crime prevention is quietly one of the densest FDE verticals on the market — every deployment is bespoke to a client's risk stack — even though nobody puts it on a conference slide.
What “forward deployed” means here
FDEs embed with clients to translate ambiguous fincrime challenges into concrete architectures: training and deploying custom AI agents that prevent fraud and automate compliance workflows, then building the datasets and evaluation pipelines that measure causal impact. The eval-and-causal-impact framing is the tell — this is rigorous applied-AI deployment, not integration glue.
Comp & leveling
$160K–$220K, fully remote (US), for a 5+ year Data Science / Applied AI profile with strong Python — competitive for a remote seat, and the remote-first nature is itself rare in a role that usually pulls you on-site.
Growth signals
300+ customers and a blue-chip strategic cap table (Visa, Experian) mean the deployment surface is large and growing. The remote-first FDE seat is a signal Sardine is scaling deployment through repeatable, eval-driven playbooks rather than one-off heroics.
Analysis updated 2026-09-18
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