{"id":144803,"url":"https://alion.io/job/artefact-manager-forward-deployed-engineering","title":"Manager, Forward Deployed Engineering","company":{"id":53062,"name":"Artefact","domain":"artefact.com","url":"https://alion.io/company/artefact-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":74,"open_postings":115,"ghost_share":0.348,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":124,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Utrecht, Netherlands"],"countries":["NL"],"hiring_countries":["NL"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":73000,"max_usd":156000,"period":"year","method":"role_seniority_country_cell","sample_n":14},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Google ADK","optional":false},{"name":"Google BigQuery","optional":false},{"name":"JavaScript","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"TypeScript","optional":false},{"name":"Vertex AI","optional":false},{"name":"Claude Code","optional":true},{"name":"Cursor","optional":true},{"name":"Edge AI","optional":true},{"name":"OpenAI Codex","optional":true}],"status":"live","first_seen_at":"2026-08-27T10:26:42Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-17T11:31:21Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":50},"description":"Who We Are\nArtefact is an applied AI company. We build systems that run in production, in our clients' own cloud, and keep running after we leave. We are present in 27 countries across all continents with a team of 2,500 employees and offer the most comprehensive set of AI & data solutions per industry, built on deep data science and cutting-edge AI technologies, delivering AI projects at scale in all industry sectors. From strategy to operations, we partner with 1000+ clients, including some of the world’s top 300 brands.\nThe Role\nArtefact is looking for a Manager, Forward Deployed Engineering, specialized in Gemini Enterprise and the Google AI stack: a hands-on technical leader who owns the delivery of AI products for our clients, from architecture through production, while building and leading the team of engineers who build them.\nYou will split your time between technical leadership and people leadership. You set the technical direction for one or more client engagements, stay close enough to the code and architecture to make good calls under pressure, and are the senior escalation point when things get hard - technically or with the client. At the same time, you manage a team of Deployed AI Engineers: their staffing, their growth, their day-to-day delivery, and their development into the next generation of technical leads.\nThis role combines deep, certified expertise in Google's enterprise AI stack (Gemini models, Vertex AI, and the Gemini Enterprise agent platform) with the leadership skills to run a delivery team and manage senior client relationships.\nWhat You'll Do\nLead Delivery of Full-Stack AI Applications\nOwn technical delivery across one or more client engagements: architecture decisions, technical risk, and quality bar.\nSet direction on interface design (TypeScript/React), backend services (Python or Node), and the agentic and retrieval systems underneath.\nReview and unblock your team's work on orchestration, tool/function calling, memory, guardrails, and RAG pipelines.\nMake the build-vs-buy and platform calls that shape how a client's AI systems connect to their data and applications.\nBe the Team's Senior Reference on Gemini Enterprise and the Google AI Stack\nSet technical standards for how the team builds with Gemini models, Vertex AI, ADK, and Agent Engine.\nGuide the team's implementation and configuration of Gemini Enterprise: Agent Designer, Inbox, agent sandboxes, and connector governance.\nMake architecture calls on Vertex AI Search, RAG Engine, grounding with Google Search, and BigQuery as the data backbone.\nTrack Google's roadmap and releases, and decide when and how new capabilities get adopted into client work.\nOwn Production Quality and Delivery Standards\nSet and enforce the bar for evaluation suites, regression testing, and production monitoring (cost, latency, quality) across your team's engagements.\nEstablish engineering practice across your team: version control, code review, CI/CD, observability.\nMake infrastructure and deployment decisions across GCP, Azure, or AWS.\nOwn the health of the data pipelines feeding your team's AI systems.\nLead the Team and the Client Relationship\nManage a team of Deployed AI Engineers: staffing, workload, performance, and career development.\nHire, onboard, and grow engineers into strong Gemini Enterprise specialists.\nBe the senior client-facing voice for your engagements - communicating trade-offs, risk, and progress to client stakeholders and Artefact leadership.\nSupport pre-sales at a senior level: scope solutions, size teams, and estimate delivery effort with partnership and consulting teams.\nSet and scale internal accelerators, reusable components, and engineering standards across engagements, not just within one team.\nRequired Experience\n6-9 years of experience in software or data engineering, including recent, substantial hands-on delivery with AI/LLM-based systems, plus prior experience leading or managing engineers.\nStrong hands-on experience with the Google AI stack (Gemini models, Vertex AI, Gemini Enterprise, ADK), including having taken multiple solutions to production on GCP.\nStrong programming background in Python and TypeScript/JavaScript, with enough depth to review architecture and code, not just manage from a distance.\nExperience building and consuming APIs, front-end development (React or similar), and at least one backend framework.\nHands-on experience with RAG, embeddings, and vector search, and with at least one agentic framework (Google ADK, LangGraph/LangChain).\nProven experience managing or leading a team of engineers - staffing, performance, and development.\nExperience owning client relationships at a senior level: scoping, expectation-setting, and escalation management.\nStrong working experience with GCP; Azure or AWS is a plus.\nFluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor.\nBachelor's/ Master's degree in computer science, engineering, or a related field, or equivalent practical experience.\nWhy you should join us:\nLearning and Development: Join a team of passionate Consultants always ready to help each other, providing opportunities to learn and collaborate with some of the best in the field.\nCulture of Celebration: We pride ourselves on creating a collaborative and fun work environment with regular team events and activities.\nCompetitive Rewards: Enjoy a comprehensive benefits package, including a competitive salary, phone & travel reimbursements, remote work allowance, and a Onefit membership discount.\nWork-Life Balance: We offer flexibility with a hybrid working environment that lets you balance personal and professional commitments.\nFuel Your Day: Enjoy a healthy and delicious daily lunch from our extensive organic buffet.\nWeekly Unwind: Take advantage of our weekly massage sessions to de-stress and relax.\nCentrally Located: Our office is conveniently situated near the station for easy commuting.\nCareer Growth Opportunities: We’re committed to your professional development, offering continuous learning and internal promotion opportunities.\nJoin Us Now and Be Part of the Future:\nArtefact is experiencing exciting growth, and this is the perfect time to join our dynamic team and contribute to our success story.\nCome join us!","description_format":"text","description_chars":6266,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Growth opportunities","Hybrid work","Professional development"],"hiring_locations":[{"name":"Netherlands","iso":"NL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Management Consulting","Digital Marketing","AI Consulting & Integration","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-08-27T10:26:42Z"}],"visa":[],"liveness":{"score":56,"band":"ok","label":"Likely open","p_open":1,"p_active":0.783,"p_room":0.72,"age_days":50,"expected_fill_days":124,"reasons":["conf:0","velocity","win:mid","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/artefact-manager-forward-deployed-engineering","json_url":"https://alion.io/job/artefact-manager-forward-deployed-engineering.json","meta":{"generated_at":"2026-10-17T13:35:41Z","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":18310,"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":53062},"rest":"https://alion.io/mcp/rest/get_company?id=53062"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fartefact-manager-forward-deployed-engineering"},{"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%2Fartefact-manager-forward-deployed-engineering"},{"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%2Fartefact-manager-forward-deployed-engineering"},{"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/artefact-manager-forward-deployed-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fartefact-manager-forward-deployed-engineering"}]}