{"id":510816,"url":"https://alion.io/job/lancedb-senior-solutions-engineer-2","title":"Senior Solutions Engineer","company":{"id":4364,"name":"Lancedb","domain":"lancedb.com","url":"https://alion.io/company/lancedb","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":89,"open_postings":8,"ghost_share":0,"stale_share":0.25,"repost_share":0,"time_to_fill_p50_days":73,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","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":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EC2","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Google GKE","optional":false},{"name":"Kubernetes","optional":false},{"name":"LanceDB","optional":false},{"name":"LLMOps","optional":false},{"name":"Multimodal AI","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Ray","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false},{"name":"Airflow","optional":true},{"name":"Apache Kafka","optional":true},{"name":"CI/CD","optional":true},{"name":"Delta Lake","optional":true},{"name":"Docker","optional":true},{"name":"Feast","optional":true},{"name":"Feature Store","optional":true},{"name":"Flink","optional":true},{"name":"Grafana","optional":true},{"name":"Prometheus","optional":true},{"name":"Python","optional":true},{"name":"Rust","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2025-11-10T21:26:50Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-10-28T10:59:15Z","board_verified":true,"closed_at":null,"days_open":351,"trust":{"level":"stale","repost_count":1,"flags":["stale"],"days_open":351},"description":"About LanceDB\nLanceDB is a developer-friendly, open-source data lake for multimodal AI. From hyper-scalable vector search to advanced retrieval for RAG, from streaming training data to interactive exploration of large-scale AI datasets, LanceDB is the best foundation for your AI application, and powers some of the most groundbreaking applications and challenging requirements today.\nAbout the Role\nWe are looking for a Senior Solutions Engineer who blends deep technical understanding of AI/ML infrastructure with excellent communication and solution-building skills. In this role, you will serve as a trusted advisor to prospective customers, design partners, and strategic accounts-bridging the gap between cutting-edge AI engineering and real-world business use cases.\nThis role is ideal for someone who thrives at the intersection of technical depth and customer interaction, and who enjoys crafting solutions, demos, and integrations that showcase LanceDB’s strengths in production environments.\nYour Responsibilities Will Include\nServe as the technical lead in pre-sales conversations-partnering with account executives to scope, solution, and articulate the value of LanceDB for customer-specific workflows.\n\nLead technical discovery and architecture design sessions with prospects across verticals including AI infra, LLM ops, and multimodal data pipelines.\n\nBuild and deliver custom demos and proof-of-concepts to highlight how LanceDB solves challenging RAG, vector search, and feature engineering problems.\n\nAct as the bridge between customer pain points and our engineering/product teams-informing roadmap priorities with real-world feedback.\n\nPartner closely with design partners and early adopters to ensure successful onboarding and expansion.\n\nChampion a superior developer experience with a sharp focus on documentation, SDK ergonomics, and integration workflows.\n\nRequirements\nYou thrive in a fast-paced, startup environment and enjoy working with high-caliber teams.\n\nYou have 5+ years of experience in a Sales Engineer, Solutions Engineer, ML Engineer, or AI Infrastructure role, supporting AI/ML products or platforms.\n\nStrong knowledge of AI/ML frameworks like PyTorch or TensorFlow, and how they integrate with infrastructure for model training, fine-tuning, and inference.\n\nHands-on experience working with distributed systems such as Ray, Spark, or Kubernetes.\n\nFamiliarity with cloud services (AWS, GCP, Azure) including compute and storage (e.g., EC2, GKE, S3).\n\nConfident communicating with both technical and non-technical stakeholders, and able to translate complex infrastructure into actionable solutions.\n\nYou must be based out of the San Francisco Bay Area, and be willing to travel to customer sites as needed. This position is only available to candidates that fulfill this criteria.\n\nBonus Points If You\nHave experience building or supporting feature engineering workflows or vector search pipelines.\n\nHave worked with feature stores (e.g., Feast, Tecton) or have designed custom ML feature pipelines.\n\nHave experience in observability and monitoring (Prometheus, Grafana, ELK/EFK).\n\nAre familiar with open-source data/streaming frameworks such as Apache Spark, Flink, Delta Lake, Kafka, or Airflow.\n\nHave deep Python skills or are curious about Rust.\n\nAre comfortable creating technical content, workshops, or presenting at meetups/conferences.\n\nHave experience deploying ML infrastructure in customer environments using tools like Terraform, Docker, and CI/CD pipelines.\n\nHave supported enterprise customers or worked in a customer-facing technical capacity before.\n\nWhy Join Us\nYou’ll join a world-class team of open-source builders working on cutting-edge AI infrastructure. You’ll collaborate on systems that power next-generation AI workloads while shaping how LanceDB operates and scales production environments.","description_format":"text","description_chars":3858,"description_truncated":false,"requirements":{"experience_years_min":5,"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":["Data Warehouses & Lakehouses","Databases & DBMS","Vector Search & RAG"],"lifecycle":[{"event":"open","at":"2026-09-07T14:48:52Z"},{"event":"close","at":"2026-09-21T02:12:55Z"},{"event":"reopen","at":"2026-09-22T04:27:45Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.348,"p_room":0.28,"age_days":351,"expected_fill_days":73,"reasons":["conf:4","velocity","win:tail","crowd:"],"computed_at":"2026-10-28T05:59:10Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":true},"html_url":"https://alion.io/job/lancedb-senior-solutions-engineer-2","json_url":"https://alion.io/job/lancedb-senior-solutions-engineer-2.json","meta":{"generated_at":"2026-10-28T12:51:32Z","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":17181,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"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":4364},"rest":"https://alion.io/mcp/rest/get_company?id=4364"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flancedb-senior-solutions-engineer-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%2Flancedb-senior-solutions-engineer-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%2Flancedb-senior-solutions-engineer-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/lancedb-senior-solutions-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flancedb-senior-solutions-engineer-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":510816}},{"tool":"search_jobs","arguments":{"company":"lancedb.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":510816},"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. 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