Forward Deployed Engineer

About SixtyfourSixtyfour helps teams understand the people, companies, and entities they interact with, with a primary focus on Compliance (AML/KYB), Trust & Safety, Cybersecurity, and Investigations. Our platform combines agents, LLMs, and large-scale data infrastructure to surface information essential for critical decision-making.The RoleForward Deployed Engineers sit between our customers and our codebase. Some days you'll be in a working session with a compliance team learning how they actually run an alert to disposition; other days you'll be in our repos shipping the pipeline that makes that workflow ten times faster.Roughly half of this job is building the core product alongside the rest of engineering. The other half is deploying, extending, and tuning it inside real customer environments. This is not a support or solutions role, you'll be held to the same engineering bar as everyone else on the team. The difference is that you will be the engineer that customers go to first, and the one who sees their problems firsthand.What You'll DoBuildShip production code in the core platform alongside the rest of engineering including backend services, APIs, data pipelines, searchDesign robust, well-architected APIs that power both our product and the integrations you deploy in the fieldBuild and productionize agent workflows and LLM-powered systems, including evals, guardrails, and cost/latency tuningOperate what you build: instrumentation, observability, and SRE work when a pipeline breaks in a customer's environment at an inconvenient hourDeployEmbed with customers to learn their workflows, data, and constraints directly rather than through a requirements docOwn technical delivery end to end: scoping, data onboarding, integration, deployment into their infrastructure, and the first weeks of production useBridge the current platform to customers with custom connectors, enrichment steps, migration scripts, internal tooling, etcBe the credible technical voice in the room, whether you're talking to an analyst who has never seen an API or to their staff engineer who is skeptical of yoursClose the loopDistinguish one-offs from the emerging pattern, and push patterns back into the core platformBring the field back to engineering, product, and leadership as evidence for what to prioritizeSet honest expectations with customers about what's shipping and when, and hold the line when the answer is "not soon"Leave behind runbooks, docs, and internal write-ups so the next deployment is faster than the lastWhat We're Looking For3–7 years of professional software engineering experienceStrong fundamentals: you can drop into an unfamiliar codebase, debug a production incident, design a clean API, and reason clearly about data models and failure modesStrong backend development and API design experience; proficiency in Python and JavaScript/TypeScriptExperience running systems in production with observability, scaling, and on-call ownershipReal comfort in front of customers: you can run a technical discovery conversation, push back on a stakeholder without damaging the relationship, and turn a vague business problem into a scoped technical oneJudgment about what to generalize and what to leave bespoke, and the discipline to advocate for the formerComfortable in a fast-paced, early-stage environment with high ownership and ambiguityWilling to be based in or relocate to the San Francisco Bay Area, with occasional travel to customer sitesOur StackWe'd like to see depth in several of these and a track record of picking up the rest quickly:Kubernetes Temporal Apache Spark AWS (Glue, EC2, CloudWatch, Data Prepper) OpenRouter Next.js and Vercel StripeNice to HaveExperience developing agents or building evals for LLM systemsPrior forward-deployed, solutions architecture, or technical account engineering experience at a product companyDomain exposure to compliance/AML/KYB, Trust & Safety, fraud, cybersecurity, or investigationsExperience deploying software into regulated or security-sensitive environments (SOC 2, data residency, VPC or on-prem installs)Experience building developer-facing products or platforms (APIs, SDKs, dev tools)Prior startup experience, ideally at a similar stageExperience working in an AI companyBenefitsUnlimited PTOLunch on us in the officeMonthly gym membership reimbursementMonthly AI tools/productivity reimbursement401k with company matchHealth / Dental / VisionFlexible working hours