{"id":1266855,"url":"https://alion.io/job/sixtyfour-forward-deployed-engineer","title":"Forward Deployed Engineer","company":{"id":2027224,"name":"Sixtyfour","domain":"sixtyfour.ai","url":"https://alion.io/company/sixtyfour","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Work at a Startup","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":140000,"max":225000,"currency":"USD","period":"year","gross":null,"usd_annual":225000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Python","optional":false},{"name":"TypeScript","optional":false},{"name":"Amazon CloudWatch","optional":true},{"name":"Amazon EC2","optional":true},{"name":"AWS","optional":true},{"name":"Kubernetes","optional":true},{"name":"Next.js","optional":true},{"name":"OpenRouter","optional":true},{"name":"SOC 2","optional":true},{"name":"Spark","optional":true},{"name":"Stripe","optional":true},{"name":"Vercel","optional":true}],"status":"live","first_seen_at":"2026-09-25T22:38:55Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-30T00:27:14Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"About Sixtyfour\nSixtyfour 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.\nThe Role\nForward 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.\nRoughly 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.\nWhat You'll Do\nBuild\nShip production code in the core platform alongside the rest of engineering including backend services, APIs, data pipelines, search\nDesign robust, well-architected APIs that power both our product and the integrations you deploy in the field\nBuild and productionize agent workflows and LLM-powered systems, including evals, guardrails, and cost/latency tuning\nOperate what you build: instrumentation, observability, and SRE work when a pipeline breaks in a customer's environment at an inconvenient hour\nDeploy\nEmbed with customers to learn their workflows, data, and constraints directly rather than through a requirements doc\nOwn technical delivery end to end: scoping, data onboarding, integration, deployment into their infrastructure, and the first weeks of production use\nBridge the current platform to customers with custom connectors, enrichment steps, migration scripts, internal tooling, etc\nBe 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 yours\nClose the loop\nDistinguish one-offs from the emerging pattern, and push patterns back into the core platform\nBring the field back to engineering, product, and leadership as evidence for what to prioritize\nSet honest expectations with customers about what's shipping and when, and hold the line when the answer is \"not soon\"\nLeave behind runbooks, docs, and internal write-ups so the next deployment is faster than the last\nWhat We're Looking For\n3-7 years of professional software engineering experience\nStrong fundamentals: you can drop into an unfamiliar codebase, debug a production incident, design a clean API, and reason clearly about data models and failure modes\nStrong backend development and API design experience; proficiency in Python and JavaScript/TypeScript\nExperience running systems in production with observability, scaling, and on-call ownership\nReal 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 one\nJudgment about what to generalize and what to leave bespoke, and the discipline to advocate for the former\nComfortable in a fast-paced, early-stage environment with high ownership and ambiguity\nWilling to be based in or relocate to the San Francisco Bay Area, with occasional travel to customer sites\nOur Stack\nWe'd like to see depth in several of these and a track record of picking up the rest quickly:\nKubernetes · Temporal · Apache Spark · AWS (Glue, EC2, CloudWatch, Data Prepper) · OpenRouter · Next.js and Vercel · Stripe\nNice to Have\nExperience developing agents or building evals for LLM systems\nPrior forward-deployed, solutions architecture, or technical account engineering experience at a product company\nDomain exposure to compliance/AML/KYB, Trust & Safety, fraud, cybersecurity, or investigations\nExperience deploying software into regulated or security-sensitive environments (SOC 2, data residency, VPC or on-prem installs)\nExperience building developer-facing products or platforms (APIs, SDKs, dev tools)\nPrior startup experience, ideally at a similar stage\nExperience working in an AI company\nBenefits\nUnlimited PTO\nLunch on us in the office\nMonthly gym membership reimbursement\nMonthly AI tools/productivity reimbursement\n401k with company match\nHealth / Dental / Vision\nFlexible working hours","description_format":"text","description_chars":4524,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Flexible schedule","Gym membership","Unlimited PTO"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Artificial Intelligence","AI Agents"],"lifecycle":[{"event":"open","at":"2026-09-25T22:38:55Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":3,"expected_fill_days":21,"reasons":["conf:3","win:early"],"computed_at":"2026-09-29T05:45:00Z"},"pay":{"stated_usd_annual":225000,"is_top_pay":true},"html_url":"https://alion.io/job/sixtyfour-forward-deployed-engineer","json_url":"https://alion.io/job/sixtyfour-forward-deployed-engineer.json","meta":{"generated_at":"2026-09-30T00:36:43Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":478,"day_limit":5000,"remaining_today":4522,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}