{"id":3538244,"url":"https://alion.io/job/alvys-senior-engineering-manager-data-ai","title":"Senior Engineering Manager, Data & AI","company":{"id":671941,"name":"Alvys","domain":"alvys.com","url":"https://alion.io/company/alvys","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":135000,"max_usd":276000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1354},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"C#","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"dbt","optional":false},{"name":"ElasticSearch","optional":false},{"name":"F#","optional":false},{"name":"Fivetran","optional":false},{"name":"Function Calling","optional":false},{"name":"Least Privilege","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"TypeScript","optional":false},{"name":"Voice Agents","optional":false},{"name":"Fine-tuning","optional":true},{"name":"GraphRAG","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Kubernetes","optional":true},{"name":"n8n","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Text-to-Speech","optional":true}],"status":"live","first_seen_at":"2026-10-30T18:21:16Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-03T11:18:40Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Senior Engineering Manager, Data & AI\nLead the engineering team behind Foundry, Insights, Intel, and Voice: the agents, analytics, and data intelligence of the modern freight platform.\nAbout the Role\nRemote, United States. Some travel is required for team onsites, customer visits, and industry events. Relocation assistance is not provided.\nThe Senior Engineering Manager, Data & AI leads the engineering group behind Foundry, Insights, Intel, and Voice. You'll own the group's technical strategy, delivery, and quality, hire and develop its engineers, and stay hands-on by prototyping, writing evals, reading traces, and reviewing architecture in depth.\nThe team is about eight engineers today and growing. It also owns the shared foundation those products run on: a context graph that connects loads, trips, carriers, drivers, customers, documents, and conversations; event-sourced platform data streaming into the warehouse; and the evals, tracing, guardrails, and model routing every agent depends on.\nAlvys facilitates more than $1 billion in funds every month across invoices, carrier payments, and driver settlements. Behind that volume is one of the richest operational datasets in freight. This team turns it into agents that do real work and intelligence customers can't get anywhere else.\nEngineering leaders at Alvys are builders. Expect to spend about a third of your time building. You'll set the standard for how an AI-first team works: coding agents in the daily workflow, evals before scale, and production evidence over demos.\nThe platform runs on .NET (C#, and increasingly F#), TypeScript, and Python on Azure and AKS, with Cosmos DB, Postgres, Elasticsearch, Snowflake, dbt, and Fivetran underneath.\nWe're looking for someone who treats AI as a first-class material, both in what we build for customers and in how the engineering team works.\nIndustry Insight\nFreight runs on phone calls, emails, PDFs, and tribal knowledge. The U.S. trucking industry is worth approximately $1 trillion today and is projected to grow by roughly 60% to nearly $1.5 trillion over the next decade.\nYet the work that moves that freight is still largely manual. Nearly 580,000 active U.S. motor carriers operate in a highly fragmented market; 91.5% run 10 or fewer trucks, and 99.3% run 100 or fewer. Few of these businesses will ever build a data team of their own. Every check call answered, rate confirmation read, and exception caught by software is time back for a small team running on thin margins.\nFreight data is also structurally messy. A single load spans brokers, carriers, drivers, shippers, and documents, each with its own identifiers, and the truth lives across EDI messages, phone calls, and free text. Generic AI tooling doesn't model any of this. That's why we're building a context graph grounded in how freight actually moves.\nAgents can now answer the phone, read documents, query operational data, and take actions inside a TMS. In freight, those actions move trucks and money. They must be correct, auditable, and safe.\nAbout Alvys\nAlvys is building the operating system for modern freight. Our AI-powered, cloud-native platform brings dispatch, driver mobile, safety and compliance, billing and settlements, native EDI, reporting, integrations, and automation into one product.\nWe were founded in 2020 by freight industry insiders who were tired of software built by people who had never moved a load. That combination of deep customer empathy and ambitious technology still defines us. We visit customers, learn how the work actually happens, prototype quickly, debate ideas openly, and turn the best ones into products people rely on.\nMore than 3,000 trucking and brokerage companies use Alvys today, including larger fleets with increasingly sophisticated operations. We've raised $77M to date, including a $40M Series B. That gives us real momentum and room to make bold bets, while remaining early enough that a great engineering leader can materially shape the product, team, and company.\nWe are building more than a modern interface for a traditional TMS. Foundry, our agent platform within Alvys, helps freight teams make decisions and complete work, and this team builds it. You'll work with curious, direct, low-ego people who solve hard problems, move quickly from prototype to production, and measure customer impact.\nOur Principles\nAI makes building cheap. It does not make judgment cheap.\nThe constraint has moved from writing code to deciding what to build and proving it is right. Agents belong in the middle of the pipeline. People remain accountable at both ends. These principles turn that into how we work every day.\nOwn the outcome\nYou own what you ship. \"AI wrote it\" is not an answer.\nJudgment stays human. People decide what matters and whether the result is correct.\nVerify independently\nGeneration and verification are separate. Tests, review, and approval run independently of the agent that did the work.\nAutonomy is earned per workflow. Agents advance only on measured precision against human-verified outcomes. No number, no promotion.\nDesign for control\nAI-first means security-first. Customer data stays on approved infrastructure under managed identity.\nCost is an engineering constraint. Every shared workflow has termination conditions and bounded fan-out.\nBuild durable systems\nKnowledge is tool-agnostic. Reviewed intent lives once; vendor-specific machinery is generated from it.\nMultiple vendors are a design assumption. Durable workflows don't couple to one model or harness.\nTwice is a pattern. Automate repeated work and share it within 48 hours.\nThe Data & AI Portfolio\nThe Data & AI portfolio covers Foundry, our embedded automation and agent platform, including a unified agent chat that answers questions and takes actions; Insights, conversational analytics grounded in each customer's own operating data; Intel, proprietary data intelligence drawn from third-party, licensed, and proprietary data sources; and Voice, AI voice and chat agents for load status, driver check calls, and the follow-ups in between. It also includes the shared foundation: the context graph, the data platform that feeds it, and the evals, tracing, guardrails, and model routing behind every agent.\nWhy This Role\nFew engineering leadership roles combine frontier AI work, a proprietary dataset, and an industry this underserved. This one does.\nYou build at the frontier, in production. Context graphs, self-learning agents, voice agents, and agentic automation are still being figured out across the industry. Here you ship them to real customers, on live freight operations, not benchmarks.\nYou work with data no one else has. More than 3,000 trucking and brokerage companies run on Alvys, and more than $1 billion in funds moves through the platform every month. Combined with third-party and licensed sources, that data is the raw material for intelligence no single fleet or brokerage could build alone.\nYour work changes how an industry operates. With 91.5% of carriers running 10 or fewer trucks, most of our customers will never hire a data team. The agents you build give a small business the leverage of a much larger one.\nYou own a portfolio, not a feature. Four products share one platform. You set its architecture, choose its models and vendors, and decide where the team invests as it grows.\nYou shape the team from the start. The group is about eight engineers today. You'll hire the next wave and set the standard for how an AI-first engineering team works at Alvys.\nYou stay close to the decisions. You report to the Head of Engineering, work directly with customers and our Forward Deployed Engineering team, and have a direct line into company planning, backed by a $40M Series B.\nWhat You'll Be Responsible For\nLeading and Growing the Team\nManage, coach, and develop a team of about eight engineers, including senior engineers and tech leads, and grow it as the portfolio expands.\nHire senior and staff engineers, and keep the quality bar high as the team scales.\nRun the team AI-first, with coding agents in the daily workflow and clear standards for how AI-written code is reviewed, tested, and shipped.\nOwning Technical Strategy\nSet technical direction for agents, data, and the context graph, and make the build, buy, and model calls with cost, quality, and speed in view.\nMake tradeoffs across four products that share one platform, including what gets built, what gets cut, and where the team invests.\nBuilding Agents That Learn\nOwn the agent development lifecycle from prototype to production to continuous improvement.\nBuild self-learning loops so agents improve from outcomes, user corrections, and transcripts, and make that improvement measurable.\nMake evals a release gate. No agent ships without tests for quality, safety, latency, and cost.\nData and the Context Graph\nOwn the context graph that links loads, trips, carriers, drivers, customers, documents, and conversations, and the entity resolution that keeps it trustworthy.\nPartner on the data platform that feeds it, including event streams, CDC into Snowflake, data quality, and lineage, so agents and analytics share one source of truth.\nCapture decision traces (the inputs gathered, the rule applied, any exception, who approved it, and why) so precedent becomes searchable for agents and people, while rules stay explicit.\nCombine third-party, licensed, and proprietary data sources into intelligence customers can act on, with the provenance, licensing terms, and tenant boundaries of each source respected.\nSafety, Isolation, and Reliability\nDesign agents that change data with scoped permissions, human approvals, and audit trails, and defend against prompt injection and tool misuse.\nEnforce tenant isolation and least privilege across every agent, tool, and data path.\nOwn reliability and unit economics. Track cost per task, per call, and per tenant, and keep margins healthy as usage grows.\nStaying Hands-On\nSpend about a third of your time building: prototype, write evals, read traces, and debug production.\nReview your team's designs and code with real depth, and stay current on models and tools, separating what works in production from what demos well.\nCross-Functional Partnership\nWork as a peer to product and design leadership on direction, architecture, sequencing, and delivery.\nWork directly with customers and our Forward Deployed Engineering team, and turn repeated patterns into platform features.\nThe AI Fluency We Expect\nWe measure AI fluency by how you verify, not by how much you use AI. More autonomy is not always better. You match the level of autonomy to the risk of the work, and you hold yourself and the team to the same five competencies.\nDelegation: You decide whether to use AI at all, which task to hand off, and how much autonomy it gets.\nDescription: You state goals, requirements, and limits clearly, from a single prompt up to project instructions, specs, and policy.\nDiscernment: You check output against evidence: diffs, acceptance checks, evals, and production monitoring.\nDiligence: You own the effects, including data access, permissions, memory isolation, budgets, and kill switches.\nSystems: You know how models, context, tools, harnesses, and memory work, and where each one fails.\nHow You Work With Agents\nDesign multi-agent systems on paper before you build them. For each step, choose a rule, a small model, a frontier model, or a person, and measure cost per outcome, not cost per token.\nStart from code-orchestrated workflows and add model-led autonomy only where the task needs exploration. Keep agent-to-agent handoffs few, and give each agent a contract: inputs, allowed tools, and output schema.\nPut limits in code, not in prompts: hooks, sandboxed worktrees, and a stop condition, retry cap, and budget on every loop.\nSeparate the agent that writes from the agent that checks, and give the checker fresh context.\nWork in an explore, plan, execute, verify, and compound rhythm, where every correctio...","description_format":"text","description_chars":15536,"description_truncated":true,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Relocation assistance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-10-30T18:24:07Z"}],"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":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":30,"reasons":["conf:3","velocity","win:early"],"computed_at":"2026-11-03T05:54:40Z"},"pay":null,"html_url":"https://alion.io/job/alvys-senior-engineering-manager-data-ai","json_url":"https://alion.io/job/alvys-senior-engineering-manager-data-ai.json","meta":{"generated_at":"2026-11-03T15:33:18Z","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":21592,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"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":671941},"rest":"https://alion.io/mcp/rest/get_company?id=671941"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Falvys-senior-engineering-manager-data-ai"},{"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%2Falvys-senior-engineering-manager-data-ai"},{"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%2Falvys-senior-engineering-manager-data-ai"},{"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/alvys-senior-engineering-manager-data-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Falvys-senior-engineering-manager-data-ai"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3538244}},{"tool":"search_jobs","arguments":{"company":"alvys.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3538244},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}