{"id":474259,"url":"https://alion.io/job/artie-solutions-engineer","title":"Solutions Engineer","company":{"id":182858,"name":"Artie","domain":"artie.com","url":"https://alion.io/company/artie-2","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-02T06:13:15Z"}},"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":175000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"ClickUp","optional":false},{"name":"Databricks","optional":false},{"name":"Db2","optional":false},{"name":"dbt","optional":false},{"name":"Dropbox","optional":false},{"name":"GCP","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Datadog","optional":true},{"name":"Google BigQuery","optional":true}],"status":"live","first_seen_at":"2026-08-30T20:23:36Z","employer_posted_date":"2026-08-30","last_verified_at":"2026-11-03T02:03:45Z","board_verified":true,"closed_at":null,"days_open":64,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":64},"description":"About Artie\nArtie is a fully-managed real-time data streaming platform that replicates production databases into data warehouses and lakes - in real time, with zero maintenance. We make high-volume data replication simple, reliable, and scalable for engineering teams.\nOur platform powers mission-critical use cases including fraud and risk monitoring, inventory visibility, customer-facing analytics, and AI/ML workloads.\nWe’re trusted by teams like Substack, Alloy, and ClickUp, and raised a Series A from top-tier investors including Standard Capital, Y Combinator, General Catalyst, Pathlight, and the founders of Dropbox and Mode.\nArtie is built for engineers who care about performance, reliability, and operational simplicity - and we’re growing fast.\nABOUT THE ROLE\nWe're hiring our first Solutions Engineer to help scale Artie's pre-sales and post-sales enterprise motion.\nThis is not a demo-delivery role. You'll go deep with customers on their data architectures, run tight proof-of-value engagements, and be the technical backbone of every enterprise deal. You'll work directly with founders, shape how we position Artie technically, and set the bar for how we win.\nWHAT YOU'LL DO\nOwn the technical win\nRun structured proof-of-value engagements with clear technical success criteria and mutual action plans\n\nPartner with AEs to drive deals forward - from technical discovery through close\n\nBe the trusted technical voice in the room with staff engineers, data architects, and platform leads\n\nGo deep on customer architectures\nUnderstand how customers move data today - their databases, pipelines, cloud and on-premise infrastructure, and pain points\n\nMap those architectures to Artie's capabilities with clarity and confidence (CDC, Kafka, cloud data warehouses, replication patterns)\n\nWhiteboard solutions and guide customers through integration design\n\nDeliver compelling technical presentations\nTranslate complex technical concepts - log-based CDC, schema evolution, real-time replication - into business impact\n\nPresent to mixed audiences: engineers who want to see under the hood and executives who care about TCO and reliability\n\nBe a product and GTM force multiplier\nSurface field insights to Product and Engineering to sharpen our roadmap\n\nSolve many of the manual workflows with AI, constant thought about increasing productivity.\n\nWork closely with Engineering post-sale to ensure seamless customer handoffs and support\n\nHelp define what great looks like for SE at Artie\n\nWHAT WE'RE LOOKING FOR\n5+ years of experience as a Solutions Engineer or Sales Engineer in enterprise or similarly complex environments\n\nDeep familiarity with at least one RDBMS (Oracle, SQL Server, PostgreSQL, DB2) - you've done basic troubleshooting, understand logging/archiving, and aren't afraid of a query plan\n\nWorking knowledge of at least one cloud data warehouse (Snowflake, Iceberg, Databricks, Redshift)\n\nComfortable in the data stack - you know where tools like Kafka, dbt, and BI platforms fit and why customers use them\n\nExperience with cloud infrastructure (AWS, GCP, or Azure) and enough networking knowledge to hold your own in a technical solutioning conversation\n\nStrong communicator - you can adjust depth and frame for a data engineer and a VP of Engineering in the same meeting\n\nStructured and rigorous - you run POCs like a project, not a hope\n\nLow ego, high curiosity - you'd rather understand the customer's real problem than pitch a canned demo\n\nTECH STACK YOU'LL WORK WITH\nAWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, DataDog, RDBMSs (Oracle, SQL Server, DB2, PostgreSQL)\nCOMPENSATION & BENEFITS\nBase $125k - $140k\n\nOTE: $175k - $200k\n\nCompetitive equity package\n\nHealthcare, 401(k), unlimited PTO\n\nLunch & dinner provided\n\nVisa sponsorship 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