{"id":438369,"url":"https://alion.io/job/omni-solutions-engineer-i-pre-sales","title":"Solutions Engineer, Pre-Sales","company":{"id":171878,"name":"Omni","domain":"omni.co","url":"https://alion.io/company/omni-3","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":90,"open_postings":5,"ghost_share":0,"stale_share":0.4,"repost_share":0,"time_to_fill_p50_days":51,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Solutions","role_family":"Solutions","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","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":140000,"max":160000,"currency":"USD","period":"year","gross":null,"usd_annual":160000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"ChatGPT","optional":false},{"name":"Claude","optional":false},{"name":"Cursor","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Looker","optional":false},{"name":"Power BI","optional":false},{"name":"Sisense","optional":false},{"name":"Slack","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-07-16T23:56:10Z","employer_posted_date":"2026-09-19","last_verified_at":"2026-11-01T04:26:20Z","board_verified":true,"closed_at":null,"days_open":107,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":107},"description":"About Omni\nOmni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives teams a governed context graph, so everyone gets the same trusted answer. Ask in plain English, refine in workbooks, or bring your data into tools like Claude, ChatGPT, Cursor, and Slack.\nOur team has spent decades building data platforms, and we started Omni to fix problems we saw firsthand. Today, we help customers like Condé Nast, BambooHR, and Synthesia get better answers from their data. We're headquartered in San Francisco and have raised $217M from top investors including ICONIQ, Theory Ventures, and Redpoint Ventures. Our latest $120M Series C valued us at $1.5B.\nIf you like helping people get more from their data, come build with us. We’d love to hear from you.\nAbout the Role\nAs a Solutions Engineer, you'll be a trusted technical expert on the Omni platform, empowering customers to do more with their data throughout the customer lifecycle. You'll own the technical side of every deal - building one shared plan with your Account Executive and leading complex technical evaluations from discovery through proof-of-concept, hands-on in each prospect's own data and environment. You'll drive each evaluation forward, bring a clear point of view, and help shape product direction with feedback from the field.\nResponsibilities\nPartner with the Sales team to support technical discovery, demos, and proofs of concept (POCs).\n\nBuild and present POCs in the Omni platform as part of the evaluation process, while helping prospective customers learn to use Omni on their own data.\n\nSupport the transition of trials into successful customers by partnering with post-sales teams.\n\nCollaborate with Product, Design, and Engineering to relay user feedback and help inform product direction.\n\nAbout You\n4+ years of experience in data analytics or business intelligence, with strong customer-facing communication skills.\n\nStrong SQL skills, using SQL for analytics.\n\nFamiliarity with the modern data stack, including cloud data warehouses (e.g. Snowflake, BigQuery, Databricks, Redshift) and transformation tools (e.g. dbt).\n\nInterest in growing into a pre-sales career path.\n\nPassionate about working with data; love learning, and enthusiastic about helping and teaching others.\n\nPrior exposure to business intelligence and/or enterprise data analytics tools preferred (such as Looker, Omni, Tableau, PowerBI, Mode, Sisense, etc).\n\nPrior experience with customers (i.e. consulting) preferred.\n\nLocation\nThis is a hybrid role based in San Francisco, with 3 days per week in-office.\nWhy Join Us\nPassionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team\n\nHealth, dental, and vision insurance\n\n401(k) Plan (for US-based roles)\n\nUnlimited PTO\n\nOmni is an equal opportunity employer. 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