{"id":142954,"url":"https://alion.io/job/truewind-product-infrastructure-engineer-data-agent-systems-2","title":"Product Infrastructure Engineer, Data & Agent Systems","company":{"id":854,"name":"Truewind","domain":"truewind.ai","url":"https://alion.io/company/truewind","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Work at a Startup","truth_index":null},"role":"Product","role_family":"Product","seniority":"middle","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":180000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon ECS","optional":false},{"name":"AWS","optional":false},{"name":"BullMQ","optional":false},{"name":"Celery","optional":false},{"name":"Dagster","optional":false},{"name":"Docker","optional":false},{"name":"E2B","optional":false},{"name":"Go","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"Sidekiq","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Supabase","optional":false},{"name":"Tool Use","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-08-28T03:04:24Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-17T13:46:21Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":50},"description":"About Truewind\nTruewind is building AI agents that help accounting teams close books faster and more accurately. Our agents read documents, prepare workpapers, reconcile transactions, draft structured outputs, and operate across ERP and financial systems.\nTo make this reliable in production, we need a strong product infrastructure engineer who can build the data foundation and execution systems underneath the product.\nThis is a backend-leaning infrastructure role for someone who can work across production data models, correctness-sensitive workflows, and agent execution systems. It is data-first in the near term: the primary focus is migrating Truewind from legacy data models into cleaner, more durable domain models while keeping live customer workflows working. As that foundation gets stronger, the role also expands into the execution infrastructure that lets AI agents safely complete real work.\nThis is not a prompt engineering role, a pure analytics data role, or a pure DevOps/SRE role. It is a product infrastructure role for someone who has lived through messy production systems and can move between backend services, data correctness, workflow reliability, and product-facing infrastructure.\nWhy this role matters\nTruewind is in the middle of a major platform transition.\nWe are migrating from legacy schemas into cleaner domain models. These systems need to run side by side while we move product modules, preserve customer behavior, validate correctness, and avoid breaking production workflows.\nFinancial data has very little margin for silent error. A missing transaction, duplicated record, stale sync, or incorrect mapping can cascade into a wrong close. You will work with data from ERPs, banks, spreadsheets, PDFs, file uploads, and customer-provided documents that arrives in inconsistent formats and needs to be normalized, validated, audited, and made useful before humans or agents act on it.\nAt the same time, our agents are becoming more capable. They need reliable execution infrastructure: long-running jobs, retries, workspaces, artifacts, review flows, logs, traces, and failure recovery.\nIn a larger company, this might be split across data platform, product infrastructure, and agent runtime teams. At our stage, we need someone who can work across these layers without losing sight of correctness or product impact.\nTeam and stack\nYou will work directly with the engineering and product team on infrastructure that is already in production with real customers. The work sits between backend engineering and data infrastructure, with a stack that includes TypeScript, PostgreSQL/Supabase, Drizzle, queue and workflow systems, cloud infrastructure, and Python or similar tools where they are the right fit for data and automation work.\nWhat you'll work on\n1. Data infrastructure and model migration\nYou will help move Truewind from legacy data models to cleaner, more durable domain models while the product stays live.\nThis includes:\nBuilding and maintaining data pipelines that ingest, normalize, transform, and serve correctness-sensitive financial data\n\nMigrating customer-facing product modules from legacy schemas to new domain models\n\nMaintaining compatibility while legacy and new systems run side by side\n\nDesigning schemas, repositories, services, APIs, and workflows around complex data models\n\nWriting migrations, backfills, validation checks, and test coverage\n\nBuilding data quality checks to catch missing, duplicate, stale, inconsistent, or incorrectly mapped records\n\nImproving observability around syncs, transformations, model transitions, and downstream product behavior\n\nPreserving tenant isolation, auditability, and correctness across data flows\n\nCreating internal tools that help engineers debug data pipeline and migration failures faster\n\n2. Agent execution systems\nYou will also help make our AI agents reliable enough for real production workflows.\nThis includes:\nBuilding orchestration for long-running agent workflows, including queues, retries, cancellations, checkpoints, resumability, and failure recovery\n\nDesigning workspace and artifact handling for documents, workbooks, logs, generated outputs, and intermediate files\n\nBuilding tool-calling infrastructure for agents to interact with files, APIs, documents, browsers, CLIs, and internal systems\n\nImplementing human review flows where users can inspect, approve, reject, or modify agent outputs\n\nAdding traces, logs, workflow state, and root-cause debugging tools so agent work is auditable and debuggable\n\nIntroducing safer execution environments when agent tasks need to manipulate files, call tools, or run isolated code\n\nYou may be a fit if you have\n4+ years of experience in product infrastructure, backend engineering, data infrastructure, or distributed systems\n\nStrong experience with relational databases, schema design, migrations, and data integrity\n\nExperience building data pipelines, ingestion systems, transformation layers, or backend services around complex data models\n\nExperience with async jobs, queues, workflow engines, retries, idempotency, and failure recovery\n\nStrong coding ability in TypeScript, Python, Go, Rust, or similar\n\nStrong debugging instincts across data, backend, infrastructure, and workflow layers\n\nGood judgment around system boundaries, reliability, observability, and operational simplicity\n\nComfort working in a startup where you may need to move between product features, infrastructure, data pipelines, and internal tooling\n\nInterest in building systems where AI agents do real work, not just generate text\n\nStrong signals\nYou have migrated a production system from one data model to another while keeping the product running\n\nYou have built or maintained production data pipelines\n\nYou have worked on systems where data correctness really matters\n\nYou have designed validation gates, audit logs, approval flows, or data quality checks\n\nYou have built workflow engines, internal platforms, automation infrastructure, or developer tools\n\nYou have experience with multi-tenant SaaS systems\n\nYou have worked with Postgres, Drizzle, Supabase, Temporal, Dagster, Airflow, Celery, BullMQ, Sidekiq, or similar systems\n\nYou have worked with LLM agents, tool-calling systems, or human review workflows\n\nYou enjoy turning messy real-world workflows into reliable, observable systems\n\nUseful but not required\nExperience with ERP, fintech, billing, payments, reconciliation, accounting, or financial data systems\n\nExperience integrating with messy third-party systems such as ERPs, banks, payment processors, CRMs, file storage systems, or document APIs\n\nExperience with sandboxing or isolated execution technologies such as E2B, Daytona, AWS ECS, Docker, Kubernetes, Firecracker, gVisor, cloud IDEs, CI runners, or similar systems\n\nExperience building agent runtimes, tool execution platforms, secure execution environments, or notebook/code execution infrastructure\n\nWhat makes this role different\nThis role sits at the intersection of data infrastructure, backend systems, product workflows, and agent execution. The center of gravity is not model behavior or demos. It is the production substrate that makes AI workflows reliable.\nYou will help build:\ndata model migration paths\n\nbackend services around durable domain models\n\nvalidation and observability for correctness-sensitive data\n\nworkflow reliability for long-running jobs\n\nartifact, trace, and review systems for agent outputs\n\nsafer execution environments when agent workflows need them\n\nThe best person for this role is likely a strong product infrastructure engineer: someone backend-capable, data-correctness-minded, and comfortable moving systems forward without breaking production.\nNot a fit if\nYou mainly want to write prompts\n\nYou only want to work on model behavior\n\nYou prefer demos over production reliability\n\nYou are looking for a pure DevOps/SRE role disconnected from product and data modeling\n\nYou are looking for a pure analytics or warehouse data engineering role\n\nYou are uncomfortable working with complex data models\n\nYou do not enjoy migrations, backfills, validation, and system cleanup\n\nYou do not care about logs, traces, retries, idempotency, and observability\n\nYou want a narrowly scoped role with only one type of problem\n\nWhy join now\nTruewind is at the stage where the product is powerful enough that the platform underneath it matters more than ever.\nWe need engineers who can help turn AI workflows from impressive demos into reliable production systems. That means building the data foundation, migrating legacy modules carefully, and giving agents the execution layer they need to do real work safely.","description_format":"text","description_chars":8660,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Agents","Accounting & Tax Software"],"lifecycle":[{"event":"open","at":"2026-08-28T03:04:24Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"Filed H-1B visas in the last two years","filings_12m":0,"filings_prev_12m":1,"green_card_filings_12m":0,"median_offered_wage_usd":null,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":24,"band":"cold","label":"Long shot","p_open":1,"p_active":0.544,"p_room":0.45,"age_days":50,"expected_fill_days":32,"reasons":["conf:1","win:tail"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":200000,"is_top_pay":true},"html_url":"https://alion.io/job/truewind-product-infrastructure-engineer-data-agent-systems-2","json_url":"https://alion.io/job/truewind-product-infrastructure-engineer-data-agent-systems-2.json","meta":{"generated_at":"2026-10-17T14:27:00Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":19484,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":854},"rest":"https://alion.io/mcp/rest/get_company?id=854"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftruewind-product-infrastructure-engineer-data-agent-systems-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ftruewind-product-infrastructure-engineer-data-agent-systems-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ftruewind-product-infrastructure-engineer-data-agent-systems-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/truewind-product-infrastructure-engineer-data-agent-systems-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftruewind-product-infrastructure-engineer-data-agent-systems-2"}]}