{"jobs":[{"id":"f2e510bf-82dd-4a86-94cf-d0a3b29b5889","title":"Product Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"United States","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-08T14:55:04.593+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States","addressLocality":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/omni/f2e510bf-82dd-4a86-94cf-d0a3b29b5889","applyUrl":"https://jobs.ashbyhq.com/omni/f2e510bf-82dd-4a86-94cf-d0a3b29b5889/application","descriptionHtml":"<h2><strong> About Omni</strong></h2><p style=\"min-height:1.5em\">Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.<br /><br />Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.</p><p style=\"min-height:1.5em\"></p><h2><strong>About the Role</strong></h2><p style=\"min-height:1.5em\">Software Engineers at Omni work with our product and customers to understand problems and use cases to solve, and then operate across our tech stack to solve them. You'll work on a team with deep experience in the space, and you'll have the autonomy to prioritize and solve problems by yourself, or in collaboration with other members of the team.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\">One of the company values at Omni is \"Ship it!\" - we move quickly, ship often, and then iterate until it's great. We use Claude Code to drive productivity, allowing us to focus on the most complex technical and product work, while delegating the rest to our agents.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\">Our product engineers are passionate about at least one aspect of our product, for example:</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Improving Blobby, our AI agent, to handle more complex analyses and new workflows</p></li><li><p style=\"min-height:1.5em\">Building advanced data modeling capabilities like aggregate awareness for approximate count distinct measures</p></li><li><p style=\"min-height:1.5em\">Allow users bring their own data through CSV uploads, spreadsheets, and input tables</p></li><li><p style=\"min-height:1.5em\">Building APIs, CLIs, and MCP tools to allow users to work with Omni from anywhere</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>About You</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">3-10+ years of experience building production software</p></li><li><p style=\"min-height:1.5em\">Opinionated about how to build great products and features</p></li><li><p style=\"min-height:1.5em\">Strategic thinking and the ability to balance business and product goals with velocity and engineering excellence</p></li><li><p style=\"min-height:1.5em\">Experience doing analytical work with tools like SQL, Looker, Tableau, Mode, Amplitude, Google Analytics</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Nice to Haves</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience building data products</p></li><li><p style=\"min-height:1.5em\">Familiarity with data warehouses like Snowflake, BigQuery, Redshift</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Our Stack</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">TypeScript</p></li><li><p style=\"min-height:1.5em\">React with Remix</p></li><li><p style=\"min-height:1.5em\">Kotlin / Java</p></li><li><p style=\"min-height:1.5em\">AWS</p></li></ul><h2></h2><h2><strong>Why Join Us</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team</p></li><li><p style=\"min-height:1.5em\">Health, dental, and vision insurance</p></li><li><p style=\"min-height:1.5em\">401(k) Plan</p></li><li><p style=\"min-height:1.5em\">Unlimited PTO</p></li></ul><p style=\"min-height:1.5em\"><em><strong><br />Omni is an equal opportunity employer.</strong> We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.</em></p>","descriptionPlain":" ABOUT OMNI\n\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 enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.\n\nBased in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.\n\n\n\n\nABOUT THE ROLE\n\nSoftware Engineers at Omni work with our product and customers to understand problems and use cases to solve, and then operate across our tech stack to solve them. You'll work on a team with deep experience in the space, and you'll have the autonomy to prioritize and solve problems by yourself, or in collaboration with other members of the team.\n\n\n\nOne of the company values at Omni is \"Ship it!\" - we move quickly, ship often, and then iterate until it's great. We use Claude Code to drive productivity, allowing us to focus on the most complex technical and product work, while delegating the rest to our agents.\n\n\n\nOur product engineers are passionate about at least one aspect of our product, for example:\n\n - Improving Blobby, our AI agent, to handle more complex analyses and new workflows\n\n - Building advanced data modeling capabilities like aggregate awareness for approximate count distinct measures\n\n - Allow users bring their own data through CSV uploads, spreadsheets, and input tables\n\n - Building APIs, CLIs, and MCP tools to allow users to work with Omni from anywhere\n\n\n\n\nABOUT YOU\n\n - 3-10+ years of experience building production software\n\n - Opinionated about how to build great products and features\n\n - Strategic thinking and the ability to balance business and product goals with velocity and engineering excellence\n\n - Experience doing analytical work with tools like SQL, Looker, Tableau, Mode, Amplitude, Google Analytics\n\n\n\n\nNICE TO HAVES\n\n - Experience building data products\n\n - Familiarity with data warehouses like Snowflake, BigQuery, Redshift\n\n\n\n\nOUR STACK\n\n - TypeScript\n\n - React with Remix\n\n - Kotlin / Java\n\n - AWS\n\n\n\n\n\nWHY JOIN US\n\n - Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team\n\n - Health, dental, and vision insurance\n\n - 401(k) Plan\n\n - Unlimited PTO\n\n\nOmni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.","compensation":{"compensationTierSummary":"$160K – $250K • Offers Equity","scrapeableCompensationSalarySummary":"$160K - $250K","compensationTiers":[{"id":"093b062d-e7a3-4b20-a7a4-4061cfde9c4d","tierSummary":"$160K – $250K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"24e11629-14b1-46e5-9015-2c72c7bc4226","summary":"$160K – $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":160000,"maxValue":250000},{"id":"aabf17df-099e-4518-a940-6b8a7137979d","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":160000,"maxValue":250000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"7af7f222-0e2e-4520-b955-d6e4e1874dde","title":"Senior Solutions Engineer, Pre-Sales","department":"Solutions Engineering","team":"Solutions Engineering","employmentType":"FullTime","location":"United States","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-17T04:36:15.700+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States","addressLocality":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/omni/7af7f222-0e2e-4520-b955-d6e4e1874dde","applyUrl":"https://jobs.ashbyhq.com/omni/7af7f222-0e2e-4520-b955-d6e4e1874dde/application","descriptionHtml":"<h2><strong> About Omni</strong></h2><p style=\"min-height:1.5em\">Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.<br /><br />Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.</p><p style=\"min-height:1.5em\"></p><h2><strong>About the Role</strong></h2><p style=\"min-height:1.5em\">As a Pre-Sales Solutions Engineer, you will become an expert in the Omni platform, empowering our customers to do more with their data throughout their lifecycle. You will work with companies across all different industries, regions, and company sizes. </p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\">We have a high-touch forward-deployed model, and through our process you will constantly be learning and discovering new use cases and needs. You will advocate for our users, and help shape product direction as you share experiences and feedback from the field.</p><p style=\"min-height:1.5em\"></p><h2><strong>Responsibilities</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Partner with the sales team to provide technical expertise in the sales process and beyond, helping uncover and prove out use cases to showcase the value of the Omni platform.</p></li><li><p style=\"min-height:1.5em\">Build and present Proofs of Concept in the Omni Platform as part of the evaluation process, while enabling prospective customers on how to successfully use Omni on their data.</p></li><li><p style=\"min-height:1.5em\">Smoothly transition trials into successful customers, by partnering with post-sales teams, and engaging with our partners to plan for ongoing support where needed.</p></li><li><p style=\"min-height:1.5em\">Collaborate extensively with Product, Design, and Engineering to provide user feedback and guide product direction.</p><p style=\"min-height:1.5em\"></p></li></ul><h2><strong>About You</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">7+ years experience of pre-sales business intelligence experience, including deep experience in pre-sales Solutions Engineering, Sales Engineering, or Solutions Architecture roles supporting enterprise customers.</p></li><li><p style=\"min-height:1.5em\">Strong SQL skills, using SQL for analytics</p></li><li><p style=\"min-height:1.5em\">Experience in a client-facing role, desire to work closely with customers</p></li><li><p style=\"min-height:1.5em\">Exceptional, consultative communication skills across technical and non-technical audiences</p></li><li><p style=\"min-height:1.5em\">Passionate about working with data</p></li><li><p style=\"min-height:1.5em\">Love learning; enthusiastic about helping and teaching others</p></li><li><p style=\"min-height:1.5em\">Prior experience with business intelligence and/or enterprise data analytics tools, modeled BI preferred (such as Looker)</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Location</strong></h2><p style=\"min-height:1.5em\">This is a fully remote role open to candidates based anywhere in the US, with a preference for candidates based in the Central or Eastern time zones.</p><p style=\"min-height:1.5em\"></p><h2><strong>Why Join Us</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team</p></li><li><p style=\"min-height:1.5em\">Health, dental, and vision insurance</p></li><li><p style=\"min-height:1.5em\">401(k) Plan</p></li><li><p style=\"min-height:1.5em\">Unlimited PTO</p></li></ul><p style=\"min-height:1.5em\"><em><strong><br />Omni is an equal opportunity employer.</strong> We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.</em></p>","descriptionPlain":" ABOUT OMNI\n\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 enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.\n\nBased in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.\n\n\n\n\nABOUT THE ROLE\n\nAs a Pre-Sales Solutions Engineer, you will become an expert in the Omni platform, empowering our customers to do more with their data throughout their lifecycle. You will work with companies across all different industries, regions, and company sizes. \n\n\n\nWe have a high-touch forward-deployed model, and through our process you will constantly be learning and discovering new use cases and needs. You will advocate for our users, and help shape product direction as you share experiences and feedback from the field.\n\n\n\n\nRESPONSIBILITIES\n\n - Partner with the sales team to provide technical expertise in the sales process and beyond, helping uncover and prove out use cases to showcase the value of the Omni platform.\n\n - Build and present Proofs of Concept in the Omni Platform as part of the evaluation process, while enabling prospective customers on how to successfully use Omni on their data.\n\n - Smoothly transition trials into successful customers, by partnering with post-sales teams, and engaging with our partners to plan for ongoing support where needed.\n\n - Collaborate extensively with Product, Design, and Engineering to provide user feedback and guide product direction.\n   \n   \n\n\nABOUT YOU\n\n - 7+ years experience of pre-sales business intelligence experience, including deep experience in pre-sales Solutions Engineering, Sales Engineering, or Solutions Architecture roles supporting enterprise customers.\n\n - Strong SQL skills, using SQL for analytics\n\n - Experience in a client-facing role, desire to work closely with customers\n\n - Exceptional, consultative communication skills across technical and non-technical audiences\n\n - Passionate about working with data\n\n - Love learning; enthusiastic about helping and teaching others\n\n - Prior experience with business intelligence and/or enterprise data analytics tools, modeled BI preferred (such as Looker)\n\n\n\n\nLOCATION\n\nThis is a fully remote role open to candidates based anywhere in the US, with a preference for candidates based in the Central or Eastern time zones.\n\n\n\n\nWHY JOIN US\n\n - Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team\n\n - Health, dental, and vision insurance\n\n - 401(k) Plan\n\n - Unlimited PTO\n\n\nOmni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.","compensation":{"compensationTierSummary":"$240K – $270K • Offers Equity","scrapeableCompensationSalarySummary":"$240K - $270K","compensationTiers":[{"id":"acd88681-0dc4-428a-a170-12f395a9e955","tierSummary":"OTE $240K – $270K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"e664d3a2-f87f-4f0f-8f9e-1f8548766204","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"6ca2345c-ee31-455d-aab5-258bec5c4938","summary":"OTE $240K – $270K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":240000,"maxValue":270000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":240000,"maxValue":270000}]}},{"id":"474a2d92-9dac-45e0-8523-bd3c129af6c8","title":"Business Development Representative (APAC)","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"Sydney, Australia","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-09-08T14:43:39.759+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New South Wales","addressCountry":"Australia","addressLocality":"Sydney"}},"jobUrl":"https://jobs.ashbyhq.com/omni/474a2d92-9dac-45e0-8523-bd3c129af6c8","applyUrl":"https://jobs.ashbyhq.com/omni/474a2d92-9dac-45e0-8523-bd3c129af6c8/application","descriptionHtml":"<h2><strong> About Omni</strong></h2><p style=\"min-height:1.5em\">Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.<br /><br />Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.</p><p style=\"min-height:1.5em\"></p><h2><strong>About the Role</strong></h2><p style=\"min-height:1.5em\">We love helping companies make better decisions and build new products with data and AI. Since launching for commercial availability in 2023, we’ve built an innovative base of customers across almost every industry who trust our product and team. As we continue our growth journey, we’re looking for the founding team to help us build the APAC region.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\">This is where you come in.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\">Our BDRs are strategic and critical team players, who are responsible for identifying new business opportunities by prospecting and qualifying new customers and partners. You’ll be an integral part of the growth engine by creating and managing early funnel opportunities. You’ll work cross-functionally with sales and marketing to design, iterate, and execute unique and innovative go-to-market campaigns with a high sense of urgency.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\">We believe in promoting from within and helping you shape your career path ensuring growth in your sales profession. </p><h2></h2><h2><strong>Responsibilities</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Become an Omni expert and deeply understand our competitor landscape.</p></li><li><p style=\"min-height:1.5em\">Drive top of funnel for and with our account executive team. You will run campaigns across email, LinkedIn, and other channels to drive pipeline.</p></li><li><p style=\"min-height:1.5em\">Accelerate conversion of warm and inactive prospects.</p></li><li><p style=\"min-height:1.5em\">Craft thoughtful copy that articulates the unique value Omni creates.</p></li><li><p style=\"min-height:1.5em\">Constantly innovate and push the envelope, moving beyond typical B2B marketing playbooks to unlock scale and ROI.</p></li><li><p style=\"min-height:1.5em\">Say ‘yes’. We’re building fast and we’re looking for teammates who share and step up to new opportunities.</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>About You</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">1+ years of experience in business development.</p></li><li><p style=\"min-height:1.5em\">Ability to navigate through ambiguity. You know where we need to go, but recognize it won’t always be a straight path to get there.</p></li><li><p style=\"min-height:1.5em\">A willingness to fall forward. You bring and test ideas — even if it means don’t always land perfectly, but you iterate and try again.</p></li><li><p style=\"min-height:1.5em\">Strong attention to detail. You can dive into the weeds with the team and pick up on the seemingly small, yet important, details.</p></li><li><p style=\"min-height:1.5em\">AI Literacy</p></li></ul><h2></h2><h2><strong>Why Join Us</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team</p></li><li><p style=\"min-height:1.5em\">Health, dental, and vision insurance</p></li><li><p style=\"min-height:1.5em\">401(k) Plan</p></li><li><p style=\"min-height:1.5em\">Unlimited PTO</p></li></ul><p style=\"min-height:1.5em\"><em><strong><br />Omni is an equal opportunity employer.</strong> We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.</em></p>","descriptionPlain":" ABOUT OMNI\n\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 enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.\n\nBased in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.\n\n\n\n\nABOUT THE ROLE\n\nWe love helping companies make better decisions and build new products with data and AI. Since launching for commercial availability in 2023, we’ve built an innovative base of customers across almost every industry who trust our product and team. As we continue our growth journey, we’re looking for the founding team to help us build the APAC region.\n\n\n\nThis is where you come in.\n\n\n\nOur BDRs are strategic and critical team players, who are responsible for identifying new business opportunities by prospecting and qualifying new customers and partners. You’ll be an integral part of the growth engine by creating and managing early funnel opportunities. You’ll work cross-functionally with sales and marketing to design, iterate, and execute unique and innovative go-to-market campaigns with a high sense of urgency.\n\n\n\nWe believe in promoting from within and helping you shape your career path ensuring growth in your sales profession. \n\n\n\n\n\nRESPONSIBILITIES\n\n - Become an Omni expert and deeply understand our competitor landscape.\n\n - Drive top of funnel for and with our account executive team. You will run campaigns across email, LinkedIn, and other channels to drive pipeline.\n\n - Accelerate conversion of warm and inactive prospects.\n\n - Craft thoughtful copy that articulates the unique value Omni creates.\n\n - Constantly innovate and push the envelope, moving beyond typical B2B marketing playbooks to unlock scale and ROI.\n\n - Say ‘yes’. We’re building fast and we’re looking for teammates who share and step up to new opportunities.\n\n\n\n\nABOUT YOU\n\n - 1+ years of experience in business development.\n\n - Ability to navigate through ambiguity. You know where we need to go, but recognize it won’t always be a straight path to get there.\n\n - A willingness to fall forward. You bring and test ideas — even if it means don’t always land perfectly, but you iterate and try again.\n\n - Strong attention to detail. You can dive into the weeds with the team and pick up on the seemingly small, yet important, details.\n\n - AI Literacy\n\n\n\n\n\nWHY JOIN US\n\n - Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team\n\n - Health, dental, and vision insurance\n\n - 401(k) Plan\n\n - Unlimited PTO\n\n\nOmni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"de8286db-3605-4e37-a41d-84979d8d0ae8","title":"Software Engineer, Growth Data Platform","department":"Growth Engineering","team":"Growth Engineering","employmentType":"FullTime","location":"San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"United States","address":{"postalAddress":{"addressCountry":"United States","addressLocality":"United States"}}}],"publishedAt":"2026-09-08T14:51:45.503+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/omni/de8286db-3605-4e37-a41d-84979d8d0ae8","applyUrl":"https://jobs.ashbyhq.com/omni/de8286db-3605-4e37-a41d-84979d8d0ae8/application","descriptionHtml":"<h2><strong> About Omni</strong></h2><p style=\"min-height:1.5em\">Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.<br /><br />Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.</p><p style=\"min-height:1.5em\"></p><h2><strong>Responsibilities</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Build and scale the data platform that turns messy GTM signals into reliable, auditable workflows</p></li><li><p style=\"min-height:1.5em\">Design queues, and workers for enrichment, routing, assignment, and activation</p></li><li><p style=\"min-height:1.5em\">Integrate external data sources and APIs across CRM, sales engagement, ads, first and third party intent, and enrichment vendors</p></li><li><p style=\"min-height:1.5em\">Work directly with various GTM teams to turn one-off experiments into reusable platform primitives</p></li><li><p style=\"min-height:1.5em\">Debug production issues across Snowflake, dbt, Dagster, AWS, vendor APIs, webhooks, and downstream business systems</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>About You</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">2+ years of experience building data platforms, backend systems, workflow engines, or data / ML infrastructure</p></li><li><p style=\"min-height:1.5em\">Deep experience with analytical data systems such as Snowflake, Databricks, BigQuery, dbt, Spark, Airflow, Dagster, or similar tools</p></li><li><p style=\"min-height:1.5em\">Track record of owning complex, end-to-end systems that serve real users or business-critical workflows</p></li><li><p style=\"min-height:1.5em\">Clear judgment about data modeling, schema evolution, contracts, lineage, and long-term maintainability</p></li><li><p style=\"min-height:1.5em\">You care whether the workflow actually works, whether customers trust it, and whether downstream teams can explain the output</p></li><li><p style=\"min-height:1.5em\">Strong debugging instincts</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Tech Stack</strong></h2><p style=\"min-height:1.5em\">You are not expected to have experience with every tool listed below, but you should be excited to work across data infrastructure, backend services, and orchestration.</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Snowflake as the warehouse and operational data store for modeled data, queues, workflow state, and activation outputs</p></li><li><p style=\"min-height:1.5em\">dbt for transformation, data models, and tests</p></li><li><p style=\"min-height:1.5em\">Dagster for orchestration of scheduled jobs, dependency-aware workflows, and operational retries</p></li><li><p style=\"min-height:1.5em\">AWS Batch and Lambda for custom workers, vendor enrichment jobs, webhook handling, and stateful background processing</p></li><li><p style=\"min-height:1.5em\">Fivetran</p></li><li><p style=\"min-height:1.5em\">Python and SQL</p></li><li><p style=\"min-height:1.5em\">Terraform and GitHub Actions</p></li><li><p style=\"min-height:1.5em\">Soda</p></li><li><p style=\"min-height:1.5em\">Omni</p></li></ul><h2><strong><br />Location</strong></h2><p style=\"min-height:1.5em\">This role allows for a hybrid schedule in our SF headquarters. If you are based anywhere else in the US, the role is remote.</p><h2></h2><h2><strong>Why Join Us</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team</p></li><li><p style=\"min-height:1.5em\">Health, dental, and vision insurance</p></li><li><p style=\"min-height:1.5em\">401(k) Plan</p></li><li><p style=\"min-height:1.5em\">Unlimited PTO</p></li></ul><p style=\"min-height:1.5em\"><em><strong><br />Omni is an equal opportunity employer.</strong> We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.</em></p>","descriptionPlain":" ABOUT OMNI\n\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 enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.\n\nBased in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.\n\n\n\n\nRESPONSIBILITIES\n\n - Build and scale the data platform that turns messy GTM signals into reliable, auditable workflows\n\n - Design queues, and workers for enrichment, routing, assignment, and activation\n\n - Integrate external data sources and APIs across CRM, sales engagement, ads, first and third party intent, and enrichment vendors\n\n - Work directly with various GTM teams to turn one-off experiments into reusable platform primitives\n\n - Debug production issues across Snowflake, dbt, Dagster, AWS, vendor APIs, webhooks, and downstream business systems\n\n\n\n\nABOUT YOU\n\n - 2+ years of experience building data platforms, backend systems, workflow engines, or data / ML infrastructure\n\n - Deep experience with analytical data systems such as Snowflake, Databricks, BigQuery, dbt, Spark, Airflow, Dagster, or similar tools\n\n - Track record of owning complex, end-to-end systems that serve real users or business-critical workflows\n\n - Clear judgment about data modeling, schema evolution, contracts, lineage, and long-term maintainability\n\n - You care whether the workflow actually works, whether customers trust it, and whether downstream teams can explain the output\n\n - Strong debugging instincts\n\n\n\n\nTECH STACK\n\nYou are not expected to have experience with every tool listed below, but you should be excited to work across data infrastructure, backend services, and orchestration.\n\n - Snowflake as the warehouse and operational data store for modeled data, queues, workflow state, and activation outputs\n\n - dbt for transformation, data models, and tests\n\n - Dagster for orchestration of scheduled jobs, dependency-aware workflows, and operational retries\n\n - AWS Batch and Lambda for custom workers, vendor enrichment jobs, webhook handling, and stateful background processing\n\n - Fivetran\n\n - Python and SQL\n\n - Terraform and GitHub Actions\n\n - Soda\n\n - Omni\n\n\n\nLOCATION\n\nThis role allows for a hybrid schedule in our SF headquarters. If you are based anywhere else in the US, the role is remote.\n\n\n\n\n\nWHY JOIN US\n\n - Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team\n\n - Health, dental, and vision insurance\n\n - 401(k) Plan\n\n - Unlimited PTO\n\n\nOmni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.","compensation":{"compensationTierSummary":"$170K – $250K • Offers Equity","scrapeableCompensationSalarySummary":"$170K - $250K","compensationTiers":[{"id":"571e3dc6-6656-412b-868e-5a6ded1950a0","tierSummary":"Base Salary $170K – $250K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"69710f97-94d9-4259-85dc-f2f3aa756ee0","summary":"Base Salary $170K – $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":170000,"maxValue":250000},{"id":"ebd864bb-9219-42a3-ab70-bc1135063cda","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":170000,"maxValue":250000},{"compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"0e0faf2b-cafb-4f98-a42b-a8b3df330250","title":"Managing Architect (French Speaking - EMEA)","department":"Solutions Architecture","team":"Solutions Architecture","employmentType":"FullTime","location":"Dublin, Ireland or Remote UK","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-08T14:37:12.736+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"Ireland"}},"jobUrl":"https://jobs.ashbyhq.com/omni/0e0faf2b-cafb-4f98-a42b-a8b3df330250","applyUrl":"https://jobs.ashbyhq.com/omni/0e0faf2b-cafb-4f98-a42b-a8b3df330250/application","descriptionHtml":"<h2><strong> About Omni</strong></h2><p style=\"min-height:1.5em\">Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.<br /><br />Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.</p><p style=\"min-height:1.5em\"></p><h2><strong>About the Role</strong></h2><p style=\"min-height:1.5em\">We are seeking a Managing Architect (French Speaking) to lead complex technical projects, manage delivery partners, and ensure outstanding customer experiences. You will provide technical leadership, advise customers, and own delivery outcomes.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\">In this role, you will scope, sell, and deliver projects of all complexity, including internal BI and embedded analytics. You will advocate for customers, identify issues and product gaps, and collaborate with internal teams to address them. Your insights will help shape product direction and improve customer experience.</p><p style=\"min-height:1.5em\"></p><h2><strong>Responsibilities</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Serve as the deep technical expert to solve complex data problems while defining best practices and design patterns for the Omni platform.</p></li><li><p style=\"min-height:1.5em\">Provide insight and guidance on how to leverage Omni’s AI features to maximise impact of the platform.</p></li><li><p style=\"min-height:1.5em\">Manage a portfolio of primarily Enterprise customers, overseeing scoping, resource allocation, and delivery approach.</p></li><li><p style=\"min-height:1.5em\">Act as the primary customer-facing technical contact, building strong, long-term relationships.</p></li><li><p style=\"min-height:1.5em\">Drive project results by managing consulting and delivery partners, ensuring alignment across all workstreams.</p></li><li><p style=\"min-height:1.5em\">Partner with Product and Engineering teams to translate frontline customer feedback into actionable product direction.</p></li><li><p style=\"min-height:1.5em\">A typical day for you at Omni:</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">30% Pre-sales technical support &amp; scoping</p></li><li><p style=\"min-height:1.5em\">40% Hands-on customer delivery</p></li><li><p style=\"min-height:1.5em\">30% Internal best practices and ecosystem support</p></li></ul></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>About You</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">7+ years in technical consulting / project management, ideally in the data space</p></li><li><p style=\"min-height:1.5em\">Professional fluency in both English and French is essential, with proficiency at CEFR C1/2</p></li><li><p style=\"min-height:1.5em\">Deep hands-on expertise in data engineering and BI tools (e.g. Tableau, PowerBI, Mode), with a specific mastery of semantic layers like Omni or Looker.</p></li><li><p style=\"min-height:1.5em\">Ability to bridge the gap between technical and non-technical audiences while thriving in fast-paced, collaborative, and evolving environments.</p></li><li><p style=\"min-height:1.5em\">Experience across the full project lifecycle from positioning and scoping through to execution, ideally as a consultant.</p></li></ul><h2></h2><h2><strong>Location:</strong></h2><p style=\"min-height:1.5em\">This role is hybrid in Dublin (3 days per week in-office). For candidates based in the UK, the position is fully remote.</p><p style=\"min-height:1.5em\"></p><h2><strong>Why Join Us</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team</p></li><li><p style=\"min-height:1.5em\">Health, dental, and vision insurance</p></li><li><p style=\"min-height:1.5em\">401(k) Plan</p></li><li><p style=\"min-height:1.5em\">Unlimited PTO</p></li></ul><p style=\"min-height:1.5em\"><em><strong><br />Omni is an equal opportunity employer.</strong> We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.</em></p>","descriptionPlain":" ABOUT OMNI\n\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 enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.\n\nBased in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.\n\n\n\n\nABOUT THE ROLE\n\nWe are seeking a Managing Architect (French Speaking) to lead complex technical projects, manage delivery partners, and ensure outstanding customer experiences. You will provide technical leadership, advise customers, and own delivery outcomes.\n\n\n\nIn this role, you will scope, sell, and deliver projects of all complexity, including internal BI and embedded analytics. You will advocate for customers, identify issues and product gaps, and collaborate with internal teams to address them. Your insights will help shape product direction and improve customer experience.\n\n\n\n\nRESPONSIBILITIES\n\n - Serve as the deep technical expert to solve complex data problems while defining best practices and design patterns for the Omni platform.\n\n - Provide insight and guidance on how to leverage Omni’s AI features to maximise impact of the platform.\n\n - Manage a portfolio of primarily Enterprise customers, overseeing scoping, resource allocation, and delivery approach.\n\n - Act as the primary customer-facing technical contact, building strong, long-term relationships.\n\n - Drive project results by managing consulting and delivery partners, ensuring alignment across all workstreams.\n\n - Partner with Product and Engineering teams to translate frontline customer feedback into actionable product direction.\n\n - A typical day for you at Omni:\n   \n   - 30% Pre-sales technical support & scoping\n   \n   - 40% Hands-on customer delivery\n   \n   - 30% Internal best practices and ecosystem support\n\n\n\n\nABOUT YOU\n\n - 7+ years in technical consulting / project management, ideally in the data space\n\n - Professional fluency in both English and French is essential, with proficiency at CEFR C1/2\n\n - Deep hands-on expertise in data engineering and BI tools (e.g. Tableau, PowerBI, Mode), with a specific mastery of semantic layers like Omni or Looker.\n\n - Ability to bridge the gap between technical and non-technical audiences while thriving in fast-paced, collaborative, and evolving environments.\n\n - Experience across the full project lifecycle from positioning and scoping through to execution, ideally as a consultant.\n\n\n\n\n\nLOCATION:\n\nThis role is hybrid in Dublin (3 days per week in-office). For candidates based in the UK, the position is fully remote.\n\n\n\n\nWHY JOIN US\n\n - Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team\n\n - Health, dental, and vision insurance\n\n - 401(k) Plan\n\n - Unlimited PTO\n\n\nOmni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.","compensation":{"compensationTierSummary":"€150K – €170K • Offers Equity","scrapeableCompensationSalarySummary":"€150K - €170K","compensationTiers":[{"id":"fbe6cec7-a27f-4935-83fe-ab0d8df4e0a5","tierSummary":"€150K – €170K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"9380d5c5-9f2d-4846-8cd7-fb77810a71a4","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"c7eb3d66-290e-49a4-bbc7-ee56d7f9ff54","summary":"€150K – €170K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"EUR","minValue":150000,"maxValue":170000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"EUR","minValue":150000,"maxValue":170000}]}},{"id":"6b7e4bde-b661-4bcc-b045-5426317a80e0","title":"Regional Sales Director, Enterprise","department":"Sales","team":"Sales","employmentType":"FullTime","location":"New York, NY","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-01T22:20:45.739+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"NY"}},"jobUrl":"https://jobs.ashbyhq.com/omni/6b7e4bde-b661-4bcc-b045-5426317a80e0","applyUrl":"https://jobs.ashbyhq.com/omni/6b7e4bde-b661-4bcc-b045-5426317a80e0/application","descriptionHtml":"<h2><strong> About Omni</strong></h2><p style=\"min-height:1.5em\">Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.<br /><br />Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"></p><h2><strong>About the Role</strong></h2><p style=\"min-height:1.5em\">We are seeking a <strong>Regional Sales Director, Enterprise</strong> to lead a high-growth team and drive predictable revenue in the segment of customers with 501-5,000 employees.</p><p style=\"min-height:1.5em\">You will combine elite sales execution with a talent for coaching and scaling operations. The ideal candidate brings deep expertise in the data ecosystem and thrives in building collaborative, scalable sales processes.</p><p style=\"min-height:1.5em\"></p><h2><strong>Key Responsibilities</strong></h2><p style=\"min-height:1.5em\"><u>Revenue Strategy &amp; Execution</u></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Own enterprise new business and expansion targets, ensuring accurate forecasting and pipeline health.</p></li><li><p style=\"min-height:1.5em\">Execute GTM initiatives and personally support high-impact, strategic deals to ensure closure.</p></li><li><p style=\"min-height:1.5em\">Drive disciplined CRM usage and data-driven decision-making to optimize sales performance.</p></li></ul><p style=\"min-height:1.5em\"><u>Leadership &amp; Team Growth</u></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Lead, recruit, and coach a high-performing team of Account Executives to exceed KPIs.</p></li><li><p style=\"min-height:1.5em\">Foster a culture of accountability, continuous improvement, and hands-on deal coaching.</p></li><li><p style=\"min-height:1.5em\">Set clear performance standards and develop career paths for the commercial sales team.</p></li></ul><p style=\"min-height:1.5em\"><u>Cross-Functional Collaboration</u></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Partner with Marketing on pipeline generation and Product to share market insights.</p></li><li><p style=\"min-height:1.5em\">Collaborate with Customer Success to ensure seamless handoffs and long-term expansion.</p></li><li><p style=\"min-height:1.5em\">Refine internal processes to improve efficiency across the commercial segment.</p><p style=\"min-height:1.5em\"></p></li></ul><h2><strong>About you</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">5+ years of B2B sales experience, including 2+ years leading high-performing enterprise teams.</p></li><li><p style=\"min-height:1.5em\">Proven track record of exceeding targets in SaaS. Experience in BI, data analytics and/or ETL platforms strongly preferred</p></li><li><p style=\"min-height:1.5em\">High agency and comfort driving results within fast-paced, Series A–D environments</p></li></ul><h2><br /><strong>Location</strong></h2><p style=\"min-height:1.5em\">We prioritize candidates based in Chicago, Austin, NYC, or Boston. We have physical hubs in <strong>SF and Santa Cruz</strong>, so if you’re someone who thrives in an office environment, our doors are open!</p><p style=\"min-height:1.5em\"></p><h2><strong>Why Join Us</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Passionate, close-knit team with extensive experience in the space, including founders from Looker and Stitch Data</p></li><li><p style=\"min-height:1.5em\">Health, dental, and vision insurance</p></li><li><p style=\"min-height:1.5em\">401(k) Plan</p></li><li><p style=\"min-height:1.5em\">Unlimited PTO</p></li></ul><div style=\"min-height:1.2em;margin-top:0;margin-bottom:0\"> </div><p style=\"min-height:1.5em\"><em><strong>Omni is an equal opportunity employer.</strong> We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.</em></p><h2><strong>Why Join Us</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team</p></li><li><p style=\"min-height:1.5em\">Health, dental, and vision insurance</p></li><li><p style=\"min-height:1.5em\">401(k) Plan</p></li><li><p style=\"min-height:1.5em\">Unlimited PTO</p></li></ul><p style=\"min-height:1.5em\"><em><strong><br />Omni is an equal opportunity employer.</strong> We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.</em></p>","descriptionPlain":" ABOUT OMNI\n\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 enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.\n\nBased in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe are seeking a Regional Sales Director, Enterprise to lead a high-growth team and drive predictable revenue in the segment of customers with 501-5,000 employees.\n\nYou will combine elite sales execution with a talent for coaching and scaling operations. The ideal candidate brings deep expertise in the data ecosystem and thrives in building collaborative, scalable sales processes.\n\n\n\n\nKEY RESPONSIBILITIES\n\nRevenue Strategy & Execution\n\n - Own enterprise new business and expansion targets, ensuring accurate forecasting and pipeline health.\n\n - Execute GTM initiatives and personally support high-impact, strategic deals to ensure closure.\n\n - Drive disciplined CRM usage and data-driven decision-making to optimize sales performance.\n\nLeadership & Team Growth\n\n - Lead, recruit, and coach a high-performing team of Account Executives to exceed KPIs.\n\n - Foster a culture of accountability, continuous improvement, and hands-on deal coaching.\n\n - Set clear performance standards and develop career paths for the commercial sales team.\n\nCross-Functional Collaboration\n\n - Partner with Marketing on pipeline generation and Product to share market insights.\n\n - Collaborate with Customer Success to ensure seamless handoffs and long-term expansion.\n\n - Refine internal processes to improve efficiency across the commercial segment.\n   \n   \n\n\nABOUT YOU\n\n - 5+ years of B2B sales experience, including 2+ years leading high-performing enterprise teams.\n\n - Proven track record of exceeding targets in SaaS. Experience in BI, data analytics and/or ETL platforms strongly preferred\n\n - High agency and comfort driving results within fast-paced, Series A–D environments\n\n\n\nLOCATION\n\nWe prioritize candidates based in Chicago, Austin, NYC, or Boston. We have physical hubs in SF and Santa Cruz, so if you’re someone who thrives in an office environment, our doors are open!\n\n\n\n\nWHY JOIN US\n\n - Passionate, close-knit team with extensive experience in the space, including founders from Looker and Stitch Data\n\n - Health, dental, and vision insurance\n\n - 401(k) Plan\n\n - Unlimited PTO\n\n \n\nOmni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.\n\n\nWHY JOIN US\n\n - Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team\n\n - Health, dental, and vision insurance\n\n - 401(k) Plan\n\n - Unlimited PTO\n\n\nOmni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.","compensation":{"compensationTierSummary":"$350K – $400K • Offers Equity • (50/50 split)","scrapeableCompensationSalarySummary":"$350K - $400K","compensationTiers":[{"id":"460240ba-d1ec-478e-999d-84ac41113339","tierSummary":"OTE $350K – $400K • Offers Equity • (50/50 split)","title":null,"additionalInformation":"(50/50 split)","components":[{"id":"d854f4d3-f751-4509-ab9d-3b801ada6e70","summary":"OTE $350K – $400K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":350000,"maxValue":400000},{"id":"48154621-98ae-44b7-96f9-35fa988c24d6","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":350000,"maxValue":400000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"7c53af5f-2938-4089-8d89-621ba92c2e52","title":"Technical Support Manager","department":"Customer Support","team":"Customer Support","employmentType":"FullTime","location":"San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-08T14:53:18.282+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/omni/7c53af5f-2938-4089-8d89-621ba92c2e52","applyUrl":"https://jobs.ashbyhq.com/omni/7c53af5f-2938-4089-8d89-621ba92c2e52/application","descriptionHtml":"<h2><strong> About Omni</strong></h2><p style=\"min-height:1.5em\">Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.<br /><br />Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.</p><p style=\"min-height:1.5em\"></p><h2><strong>About the Role</strong></h2><p style=\"min-height:1.5em\">We are looking for a Technical Support Manager to lead and grow our Product Expert team in San Francisco. In this role, you’ll empower a diverse team to deliver best-in-class support at the intersection of BI and AI. You’ll serve as a technical leader and a strategic bridge, ensuring our customers, Product, and Engineering teams stay perfectly aligned.</p><h2><br /><strong>Responsibilities</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"> Ramp up alongside the team to work directly with customers, modeling the high-touch \"Advisory\" relationship we promise to each customer.</p></li><li><p style=\"min-height:1.5em\">Take full ownership of team output, helping unblock issues as needed and ensuring every member has the tools, mindset, and coaching to succeed.</p></li><li><p style=\"min-height:1.5em\"> Lead the sourcing and screening of new talent while mentoring existing members to foster a culture of customer focus, continuous growth, and technical excellence.</p></li><li><p style=\"min-height:1.5em\"> Identify friction points in support processes and implement scalable solutions to unblock the team.</p></li><li><p style=\"min-height:1.5em\">Synthesize customer pain points into actionable insights for the Product and Engineering teams to help shape our roadmap.</p><p style=\"min-height:1.5em\"></p></li></ul><h2><strong>About You</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">5+ years in technical, customer-facing roles (Support, SE, or Consulting), with 1–2+ years leading or managing teams.</p></li><li><p style=\"min-height:1.5em\">Strong SQL skills and familiarity with modern BI &amp; AI stacks (Looker, DBT,  Snowflake, BigQuery, Agentic workflows).</p></li><li><p style=\"min-height:1.5em\"> You thrive in high-growth environments and enjoy \"building the playbook while playing the game.</p></li><li><p style=\"min-height:1.5em\">You can translate complex architectural issues into clear, business-focused outcomes for any stakeholder.</p><p style=\"min-height:1.5em\"></p></li></ul><h2><strong>Location</strong></h2><p style=\"min-height:1.5em\">San Francisco (Hybrid). We work from the office 3 days a week to foster collaboration and move quickly.</p><p style=\"min-height:1.5em\"></p><h2><strong>Why Join Us</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team</p></li><li><p style=\"min-height:1.5em\">Health, dental, and vision insurance</p></li><li><p style=\"min-height:1.5em\">401(k) Plan</p></li><li><p style=\"min-height:1.5em\">Unlimited PTO</p></li></ul><p style=\"min-height:1.5em\"><em><strong><br />Omni is an equal opportunity employer.</strong> We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.</em></p>","descriptionPlain":" ABOUT OMNI\n\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 enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.\n\nBased in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.\n\n\n\n\nABOUT THE ROLE\n\nWe are looking for a Technical Support Manager to lead and grow our Product Expert team in San Francisco. In this role, you’ll empower a diverse team to deliver best-in-class support at the intersection of BI and AI. You’ll serve as a technical leader and a strategic bridge, ensuring our customers, Product, and Engineering teams stay perfectly aligned.\n\n\n\nRESPONSIBILITIES\n\n -  Ramp up alongside the team to work directly with customers, modeling the high-touch \"Advisory\" relationship we promise to each customer.\n\n - Take full ownership of team output, helping unblock issues as needed and ensuring every member has the tools, mindset, and coaching to succeed.\n\n -  Lead the sourcing and screening of new talent while mentoring existing members to foster a culture of customer focus, continuous growth, and technical excellence.\n\n -  Identify friction points in support processes and implement scalable solutions to unblock the team.\n\n - Synthesize customer pain points into actionable insights for the Product and Engineering teams to help shape our roadmap.\n   \n   \n\n\nABOUT YOU\n\n - 5+ years in technical, customer-facing roles (Support, SE, or Consulting), with 1–2+ years leading or managing teams.\n\n - Strong SQL skills and familiarity with modern BI & AI stacks (Looker, DBT,  Snowflake, BigQuery, Agentic workflows).\n\n -  You thrive in high-growth environments and enjoy \"building the playbook while playing the game.\n\n - You can translate complex architectural issues into clear, business-focused outcomes for any stakeholder.\n   \n   \n\n\nLOCATION\n\nSan Francisco (Hybrid). We work from the office 3 days a week to foster collaboration and move quickly.\n\n\n\n\nWHY JOIN US\n\n - Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team\n\n - Health, dental, and vision insurance\n\n - 401(k) Plan\n\n - Unlimited PTO\n\n\nOmni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.","compensation":{"compensationTierSummary":"$140K – $165K • Offers Equity","scrapeableCompensationSalarySummary":"$140K - $165K","compensationTiers":[{"id":"7be0f5fd-771a-4afb-9848-22362d7dd7fa","tierSummary":"$140K – $165K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"8b985078-a69d-4862-bb9b-25ec26685230","summary":"$140K – $165K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":140000,"maxValue":165000},{"id":"98f4a597-1a47-4091-b47a-b241f5be9195","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":140000,"maxValue":165000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"68b63058-00a4-40c0-a0dd-563ccdea4294","title":"Product Expert, Customer Support (Sydney)","department":"Customer Support","team":"Customer Support","employmentType":"FullTime","location":"Sydney, Australia","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-08T14:52:35.153+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"New South Wales","addressCountry":"Australia","addressLocality":"Sydney"}},"jobUrl":"https://jobs.ashbyhq.com/omni/68b63058-00a4-40c0-a0dd-563ccdea4294","applyUrl":"https://jobs.ashbyhq.com/omni/68b63058-00a4-40c0-a0dd-563ccdea4294/application","descriptionHtml":"<h2><strong> About Omni</strong></h2><p style=\"min-height:1.5em\">Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.<br /><br />Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.</p><p style=\"min-height:1.5em\"></p><h2><strong>About the Role</strong></h2><p style=\"min-height:1.5em\">We are looking for a Product Expert to be the face and heart of the Omni experience. You’ll blend technical SQL expertise with a <a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://review.firstround.com/podcast/how-to-leverage-intuition-customer-support-and-raw-effort-colin-zima-omni-looker/\"><u>passion for high-touch support</u></a><u>,</u> helping users solve complex data problems while serving as the essential bridge between our customers and our Product and Engineering teams.</p><p style=\"min-height:1.5em\"></p><h2>Responsibilities</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Become a deep expert in Omni’s platform and best practices to guide users and partners via Slack.</p></li><li><p style=\"min-height:1.5em\">Act as the primary expert for customers and partners via Slack, while surfacing feature requests and reproducing bugs to improve the product.</p></li><li><p style=\"min-height:1.5em\">Deliver \"above-and-beyond\" technical help, digging deep to find creative solutions to complex data questions.</p></li><li><p style=\"min-height:1.5em\">Give voice to customer needs in internal discussions with Product and engineering Partner with Product, Engineering, and Marketing to share usage trends, report bugs, and surface feature requests.</p></li><li><p style=\"min-height:1.5em\">Build trust-filled advisory relationships and contribute to our community site with troubleshooting guides and design patterns to enable self-service.</p></li><li><p style=\"min-height:1.5em\"> Work with Solutions Engineering to identify trends and recommend new tools and product improvements that make data teams more successful</p></li></ul><div style=\"min-height:1.2em;margin-top:0;margin-bottom:0\"> </div><h2><strong>About You</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"> Strong SQL skills (specifically for analytics) and 3-5 years in data analytics or business intelligence preferred.</p></li><li><p style=\"min-height:1.5em\">You genuinely enjoy daily interaction with customers and have a natural desire to teach and help others.</p></li><li><p style=\"min-height:1.5em\">You love digging into the \"why\" behind a technical issue and are always eager to learn new tools.</p></li><li><p style=\"min-height:1.5em\">You can translate complex data concepts into clear, actionable advice, both in writing and verbally.</p></li></ul><h2></h2><h2><strong>Location</strong></h2><p style=\"min-height:1.5em\">Candidates must be located in the Sydney area.</p><h2></h2><h2><strong>Why Join Us</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team</p></li><li><p style=\"min-height:1.5em\">Health, dental, and vision insurance</p></li><li><p style=\"min-height:1.5em\">401(k) Plan</p></li><li><p style=\"min-height:1.5em\">Unlimited PTO</p></li></ul><p style=\"min-height:1.5em\"><em><strong><br />Omni is an equal opportunity employer.</strong> We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.</em></p>","descriptionPlain":" ABOUT OMNI\n\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 enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.\n\nBased in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.\n\n\n\n\nABOUT THE ROLE\n\nWe are looking for a Product Expert to be the face and heart of the Omni experience. You’ll blend technical SQL expertise with a passion for high-touch support https://review.firstround.com/podcast/how-to-leverage-intuition-customer-support-and-raw-effort-colin-zima-omni-looker/, helping users solve complex data problems while serving as the essential bridge between our customers and our Product and Engineering teams.\n\n\n\n\nRESPONSIBILITIES\n\n - Become a deep expert in Omni’s platform and best practices to guide users and partners via Slack.\n\n - Act as the primary expert for customers and partners via Slack, while surfacing feature requests and reproducing bugs to improve the product.\n\n - Deliver \"above-and-beyond\" technical help, digging deep to find creative solutions to complex data questions.\n\n - Give voice to customer needs in internal discussions with Product and engineering Partner with Product, Engineering, and Marketing to share usage trends, report bugs, and surface feature requests.\n\n - Build trust-filled advisory relationships and contribute to our community site with troubleshooting guides and design patterns to enable self-service.\n\n -  Work with Solutions Engineering to identify trends and recommend new tools and product improvements that make data teams more successful\n\n \n\n\nABOUT YOU\n\n -  Strong SQL skills (specifically for analytics) and 3-5 years in data analytics or business intelligence preferred.\n\n - You genuinely enjoy daily interaction with customers and have a natural desire to teach and help others.\n\n - You love digging into the \"why\" behind a technical issue and are always eager to learn new tools.\n\n - You can translate complex data concepts into clear, actionable advice, both in writing and verbally.\n\n\n\n\n\nLOCATION\n\nCandidates must be located in the Sydney area.\n\n\n\n\n\nWHY JOIN US\n\n - Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team\n\n - Health, dental, and vision insurance\n\n - 401(k) Plan\n\n - Unlimited PTO\n\n\nOmni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.","compensation":{"compensationTierSummary":"A$107K – A$150K • Offers Equity","scrapeableCompensationSalarySummary":"A$107K - A$150K","compensationTiers":[{"id":"c41f978a-7ab7-47bf-9f31-4d6b88b0d64d","tierSummary":"A$107K – A$150K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"68a88405-30f4-4fdb-87c0-c28ed59c6dae","summary":"A$107K – A$150K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"AUD","minValue":107000,"maxValue":150000},{"id":"565601d9-eea5-46d9-a4c8-ff248060a891","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"AUD","minValue":107000,"maxValue":150000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"5d83712e-696b-4606-bc00-a8f21416d40c","title":"Product Expert, Customer Support (Dublin)","department":"Customer Support","team":"Customer Support","employmentType":"FullTime","location":"Dublin, Ireland","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-08T14:56:38.837+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Dublin","addressCountry":"Ireland","addressLocality":"Dublin"}},"jobUrl":"https://jobs.ashbyhq.com/omni/5d83712e-696b-4606-bc00-a8f21416d40c","applyUrl":"https://jobs.ashbyhq.com/omni/5d83712e-696b-4606-bc00-a8f21416d40c/application","descriptionHtml":"<h2><strong> About Omni</strong></h2><p style=\"min-height:1.5em\">Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.<br /><br />Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.</p><p style=\"min-height:1.5em\"></p><h2><strong>About the Role</strong></h2><p style=\"min-height:1.5em\">We are looking for a Product Expert to be the face and heart of the Omni experience. You’ll blend technical SQL expertise with a <a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://review.firstround.com/podcast/how-to-leverage-intuition-customer-support-and-raw-effort-colin-zima-omni-looker/\"><u>passion for high-touch support</u></a><u>,</u> helping users solve complex data problems while serving as the essential bridge between our customers and our Product and Engineering teams.</p><p style=\"min-height:1.5em\"></p><h2><strong>Responsibilities</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Become a deep expert in Omni’s platform and best practices to guide users and partners via Slack.</p></li><li><p style=\"min-height:1.5em\">Act as the primary expert for customers and partners via Slack, while surfacing feature requests and reproducing bugs to improve the product.</p></li><li><p style=\"min-height:1.5em\">Deliver \"above-and-beyond\" technical help, digging deep to find creative solutions to complex data questions.</p></li><li><p style=\"min-height:1.5em\">Give voice to customer needs in internal discussions with Product and engineering Partner with Product, Engineering, and Marketing to share usage trends, report bugs, and surface feature requests.</p></li><li><p style=\"min-height:1.5em\">Build trust-filled advisory relationships and contribute to our community site with troubleshooting guides and design patterns to enable self-service.</p></li><li><p style=\"min-height:1.5em\"> Work with Solutions Engineering to identify trends and recommend new tools and product improvements that make data teams more successful</p></li></ul><div style=\"min-height:1.2em;margin-top:0;margin-bottom:0\"> </div><h2><strong>About You</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"> Strong SQL skills (specifically for analytics) and 1+ years in data analytics or business intelligence preferred.</p></li><li><p style=\"min-height:1.5em\">You genuinely enjoy daily interaction with customers and have a natural desire to teach and help others.</p></li><li><p style=\"min-height:1.5em\">You love digging into the \"why\" behind a technical issue and are always eager to learn new tools.</p></li><li><p style=\"min-height:1.5em\">You can translate complex data concepts into clear, actionable advice, both in writing and verbally.</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Location</strong></h2><p style=\"min-height:1.5em\">This role is hybrid in Dublin (3 days per week in-office).</p><p style=\"min-height:1.5em\"></p><div style=\"min-height:1.2em;margin-top:0;margin-bottom:0\"> </div><h2><strong>Why Join Us</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team</p></li><li><p style=\"min-height:1.5em\">Health, dental, and vision insurance</p></li><li><p style=\"min-height:1.5em\">401(k) Plan</p></li><li><p style=\"min-height:1.5em\">Unlimited PTO</p></li></ul><p style=\"min-height:1.5em\"><em><strong><br />Omni is an equal opportunity employer.</strong> We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.</em></p>","descriptionPlain":" ABOUT OMNI\n\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 enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.\n\nBased in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.\n\n\n\n\nABOUT THE ROLE\n\nWe are looking for a Product Expert to be the face and heart of the Omni experience. You’ll blend technical SQL expertise with a passion for high-touch support https://review.firstround.com/podcast/how-to-leverage-intuition-customer-support-and-raw-effort-colin-zima-omni-looker/, helping users solve complex data problems while serving as the essential bridge between our customers and our Product and Engineering teams.\n\n\n\n\nRESPONSIBILITIES\n\n - Become a deep expert in Omni’s platform and best practices to guide users and partners via Slack.\n\n - Act as the primary expert for customers and partners via Slack, while surfacing feature requests and reproducing bugs to improve the product.\n\n - Deliver \"above-and-beyond\" technical help, digging deep to find creative solutions to complex data questions.\n\n - Give voice to customer needs in internal discussions with Product and engineering Partner with Product, Engineering, and Marketing to share usage trends, report bugs, and surface feature requests.\n\n - Build trust-filled advisory relationships and contribute to our community site with troubleshooting guides and design patterns to enable self-service.\n\n -  Work with Solutions Engineering to identify trends and recommend new tools and product improvements that make data teams more successful\n\n \n\n\nABOUT YOU\n\n -  Strong SQL skills (specifically for analytics) and 1+ years in data analytics or business intelligence preferred.\n\n - You genuinely enjoy daily interaction with customers and have a natural desire to teach and help others.\n\n - You love digging into the \"why\" behind a technical issue and are always eager to learn new tools.\n\n - You can translate complex data concepts into clear, actionable advice, both in writing and verbally.\n\n\n\n\nLOCATION\n\nThis role is hybrid in Dublin (3 days per week in-office).\n\n\n\n \n\n\nWHY JOIN US\n\n - Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team\n\n - Health, dental, and vision insurance\n\n - 401(k) Plan\n\n - Unlimited PTO\n\n\nOmni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.","compensation":{"compensationTierSummary":"€53K – €85K • Offers Equity","scrapeableCompensationSalarySummary":"€53K - €85K","compensationTiers":[{"id":"12d76356-dd31-4cc7-b8dc-6775904f60f5","tierSummary":"€53K – €85K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"7480b574-4b84-4cd5-906b-b3f8e2a87d83","summary":"€53K – €85K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"EUR","minValue":53000,"maxValue":85000},{"id":"e1ca8071-d87f-4837-9859-1088eb49d78f","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"EUR","minValue":53000,"maxValue":85000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"b778fb2c-ec58-44c4-a277-f4587e3c5014","title":"Manager, Solutions Engineering","department":"Solutions Engineering","team":"Solutions Engineering","employmentType":"FullTime","location":"United States","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-17T12:59:10.369+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States","addressLocality":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/omni/b778fb2c-ec58-44c4-a277-f4587e3c5014","applyUrl":"https://jobs.ashbyhq.com/omni/b778fb2c-ec58-44c4-a277-f4587e3c5014/application","descriptionHtml":"<h2><strong> About Omni</strong></h2><p style=\"min-height:1.5em\">Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.<br /><br />Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.</p><p style=\"min-height:1.5em\"></p><h2><strong>About the Role</strong></h2><p style=\"min-height:1.5em\">We're looking for a Solutions Engineering Manager to lead and grow our pre-sales Solutions Engineering team across North America. In this role, you'll build on Omni's high-touch, forward-deployed model — coaching a team of Solutions Engineers, partnering closely with Sales leadership, and ensuring every prospect gets a best-in-class technical evaluation experience. You'll serve as both a hands-on technical leader and a strategic bridge between the field and our Product and Engineering teams.</p><p style=\"min-height:1.5em\"></p><h2><strong>Responsibilities</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Hire, ramp, and coach a team of Solutions Engineers, providing regular feedback, career development, and technical mentorship.</p></li><li><p style=\"min-height:1.5em\">Partner with Sales leadership to plan resourcing and prioritize coverage across the team's pipeline of technical evaluations.</p></li><li><p style=\"min-height:1.5em\">Stay close to the field — join key discovery calls, demos, and POCs to model best practices and unblock deals when needed.</p></li><li><p style=\"min-height:1.5em\">Build and refine the team's playbook for discovery, demos, and POCs, driving consistency and quality across the org.</p></li><li><p style=\"min-height:1.5em\">Own team-level metrics (POC win rates, ramp time, coverage) and report on team performance to Sales and SE leadership.</p></li><li><p style=\"min-height:1.5em\">Synthesize patterns and feedback from the field into actionable input for Product and Engineering roadmap discussions.</p></li><li><p style=\"min-height:1.5em\">Represent the Solutions Engineering team in strategic, executive-level customer conversations as needed.</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>About You</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">3+ years of pre-sales experience (Solutions Engineering, Sales Engineering, or Solutions Architecture) specifically within business intelligence or analytics software — <em>this refers to domain-specific experience, not total years in the field overall.</em></p></li><li><p style=\"min-height:1.5em\">2-3+ years of team leadership experience, including direct people management.</p></li><li><p style=\"min-height:1.5em\">Strong SQL skills and hands-on familiarity with the modern data stack (e.g. Snowflake, BigQuery, Databricks, Redshift, dbt).</p></li><li><p style=\"min-height:1.5em\">Proven track record leading technical discovery, demos, and POCs with technical and executive stakeholders at enterprise accounts.</p></li><li><p style=\"min-height:1.5em\">Experience coaching, hiring, and developing technical talent.</p></li><li><p style=\"min-height:1.5em\">Exceptional communication skills, comfortable moving between technical, non-technical, and executive audiences.</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Nice to Haves</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Prior experience with BI and/or enterprise data analytics tools (such as Looker, Omni, Tableau, Power BI, Mode, Sisense, etc).</p></li><li><p style=\"min-height:1.5em\">Startup experience.</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Location</strong></h2><p style=\"min-height:1.5em\">This is a fully remote role open to candidates based anywhere in the US, with a preference for candidates based in the Central or Eastern time zones.</p><p style=\"min-height:1.5em\"></p><h2><strong>Why Join Us</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team</p></li><li><p style=\"min-height:1.5em\">Health, dental, and vision insurance</p></li><li><p style=\"min-height:1.5em\">401(k) Plan</p></li><li><p style=\"min-height:1.5em\">Unlimited PTO</p></li></ul><p style=\"min-height:1.5em\"><em><strong><br />Omni is an equal opportunity employer.</strong> We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.</em></p>","descriptionPlain":" ABOUT OMNI\n\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 enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.\n\nBased in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Solutions Engineering Manager to lead and grow our pre-sales Solutions Engineering team across North America. In this role, you'll build on Omni's high-touch, forward-deployed model — coaching a team of Solutions Engineers, partnering closely with Sales leadership, and ensuring every prospect gets a best-in-class technical evaluation experience. You'll serve as both a hands-on technical leader and a strategic bridge between the field and our Product and Engineering teams.\n\n\n\n\nRESPONSIBILITIES\n\n - Hire, ramp, and coach a team of Solutions Engineers, providing regular feedback, career development, and technical mentorship.\n\n - Partner with Sales leadership to plan resourcing and prioritize coverage across the team's pipeline of technical evaluations.\n\n - Stay close to the field — join key discovery calls, demos, and POCs to model best practices and unblock deals when needed.\n\n - Build and refine the team's playbook for discovery, demos, and POCs, driving consistency and quality across the org.\n\n - Own team-level metrics (POC win rates, ramp time, coverage) and report on team performance to Sales and SE leadership.\n\n - Synthesize patterns and feedback from the field into actionable input for Product and Engineering roadmap discussions.\n\n - Represent the Solutions Engineering team in strategic, executive-level customer conversations as needed.\n\n\n\n\nABOUT YOU\n\n - 3+ years of pre-sales experience (Solutions Engineering, Sales Engineering, or Solutions Architecture) specifically within business intelligence or analytics software — this refers to domain-specific experience, not total years in the field overall.\n\n - 2-3+ years of team leadership experience, including direct people management.\n\n - Strong SQL skills and hands-on familiarity with the modern data stack (e.g. Snowflake, BigQuery, Databricks, Redshift, dbt).\n\n - Proven track record leading technical discovery, demos, and POCs with technical and executive stakeholders at enterprise accounts.\n\n - Experience coaching, hiring, and developing technical talent.\n\n - Exceptional communication skills, comfortable moving between technical, non-technical, and executive audiences.\n\n\n\n\nNICE TO HAVES\n\n - Prior experience with BI and/or enterprise data analytics tools (such as Looker, Omni, Tableau, Power BI, Mode, Sisense, etc).\n\n - Startup experience.\n\n\n\n\nLOCATION\n\nThis is a fully remote role open to candidates based anywhere in the US, with a preference for candidates based in the Central or Eastern time zones.\n\n\n\n\nWHY JOIN US\n\n - Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team\n\n - Health, dental, and vision insurance\n\n - 401(k) Plan\n\n - Unlimited PTO\n\n\nOmni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.","compensation":{"compensationTierSummary":"$250K – $280K • Offers Equity","scrapeableCompensationSalarySummary":"$250K - $280K","compensationTiers":[{"id":"ede152f8-e4b4-497f-966b-b900e28a36b4","tierSummary":"OTE $250K – $280K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"c0d79d17-33a7-4a76-ba84-da6975e18c11","summary":"OTE $250K – $280K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":250000,"maxValue":280000},{"id":"6caac6ab-296c-415c-82c8-b65979bc810a","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":250000,"maxValue":280000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"2c10b34f-3274-48e9-8ff4-a0d3a0682c9f","title":"AI Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"United States","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-08T14:00:44.103+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States","addressLocality":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/omni/2c10b34f-3274-48e9-8ff4-a0d3a0682c9f","applyUrl":"https://jobs.ashbyhq.com/omni/2c10b34f-3274-48e9-8ff4-a0d3a0682c9f/application","descriptionHtml":"<h2><strong> About Omni</strong></h2><p style=\"min-height:1.5em\">Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.<br /><br />Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.</p><p style=\"min-height:1.5em\"></p><h2><strong>About the Role</strong></h2><p style=\"min-height:1.5em\">We are looking for an AI Engineer who will be focused on building and optimizing our agentic AI analyst, giving you the chance to tune agent behavior, measure agent performance, and add capabilities.</p><p style=\"min-height:1.5em\">You'll be working on a team with deep experience in the field, and you'll have the autonomy to prioritize and solve problems by yourself or in collaboration with other members of the team.</p><p style=\"min-height:1.5em\">All software engineers at Omni operate across our technology stack to solve customer problems, and our engineering culture is focused on shipping quickly and iteratively while maintaining high bars for performance and quality. We develop with AI and coding agents, but we expect our engineers to know when to trust their agent, when not to, and when to not even bother asking.</p><p style=\"min-height:1.5em\"></p><h2><strong>About You</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Strong technical and communication skills</p></li><li><p style=\"min-height:1.5em\">3-10+ years of experience building production software, proficiency in TypeScript or JavaScript</p></li><li><p style=\"min-height:1.5em\">Strategic thinking and the ability to balance business and product goals with velocity and engineering excellence</p></li><li><p style=\"min-height:1.5em\">Hands-on experience shipping LLM systems in production, working on some or all of these topics: agent harnesses, context management, retrieval, eval, or post-training.</p></li><li><p style=\"min-height:1.5em\">Experience doing data analysis</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Nice to Haves</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience building data products and AI-ready interfaces</p></li><li><p style=\"min-height:1.5em\">Familiarity with data warehouses like Snowflake, BigQuery, Redshift<br /></p></li></ul><h2><strong>Our stack:</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">TypeScript</p></li><li><p style=\"min-height:1.5em\">React with Remix</p></li><li><p style=\"min-height:1.5em\">Kotlin / Java</p></li><li><p style=\"min-height:1.5em\">AWS</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Why Join Us</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team</p></li><li><p style=\"min-height:1.5em\">Health, dental, and vision insurance</p></li><li><p style=\"min-height:1.5em\">401(k) Plan</p></li><li><p style=\"min-height:1.5em\">Unlimited PTO</p></li></ul><p style=\"min-height:1.5em\"><em><strong><br />Omni is an equal opportunity employer.</strong> We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.</em></p>","descriptionPlain":" ABOUT OMNI\n\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 enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.\n\nBased in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.\n\n\n\n\nABOUT THE ROLE\n\nWe are looking for an AI Engineer who will be focused on building and optimizing our agentic AI analyst, giving you the chance to tune agent behavior, measure agent performance, and add capabilities.\n\nYou'll be working on a team with deep experience in the field, and you'll have the autonomy to prioritize and solve problems by yourself or in collaboration with other members of the team.\n\nAll software engineers at Omni operate across our technology stack to solve customer problems, and our engineering culture is focused on shipping quickly and iteratively while maintaining high bars for performance and quality. We develop with AI and coding agents, but we expect our engineers to know when to trust their agent, when not to, and when to not even bother asking.\n\n\n\n\nABOUT YOU\n\n - Strong technical and communication skills\n\n - 3-10+ years of experience building production software, proficiency in TypeScript or JavaScript\n\n - Strategic thinking and the ability to balance business and product goals with velocity and engineering excellence\n\n - Hands-on experience shipping LLM systems in production, working on some or all of these topics: agent harnesses, context management, retrieval, eval, or post-training.\n\n - Experience doing data analysis\n\n\n\n\nNICE TO HAVES\n\n - Experience building data products and AI-ready interfaces\n\n - Familiarity with data warehouses like Snowflake, BigQuery, Redshift\n   \n\n\nOUR STACK:\n\n - TypeScript\n\n - React with Remix\n\n - Kotlin / Java\n\n - AWS\n\n\n\n\nWHY JOIN US\n\n - Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team\n\n - Health, dental, and vision insurance\n\n - 401(k) Plan\n\n - Unlimited PTO\n\n\nOmni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.","compensation":{"compensationTierSummary":"$160K – $270K • Offers Equity","scrapeableCompensationSalarySummary":"$160K - $270K","compensationTiers":[{"id":"83fb2a03-9927-4e50-b0ae-16d272cf5012","tierSummary":"$160K – $270K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"98a2a239-6ca9-48ef-955f-b1234cc4b9f7","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"0893c999-3154-4d75-bd52-d7364fd75105","summary":"$160K – $270K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":160000,"maxValue":270000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":160000,"maxValue":270000}]}},{"id":"e9fabee1-1634-4922-b2ad-30adcc9e44d4","title":"Mid-Market Account Executive ","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"Denver, CO","address":{"postalAddress":{"addressRegion":"Colorado"}}},{"location":"United States","address":{"postalAddress":{"addressCountry":"United States","addressLocality":"United States"}}}],"publishedAt":"2026-09-08T14:28:18.311+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/omni/e9fabee1-1634-4922-b2ad-30adcc9e44d4","applyUrl":"https://jobs.ashbyhq.com/omni/e9fabee1-1634-4922-b2ad-30adcc9e44d4/application","descriptionHtml":"<h2><strong> About Omni</strong></h2><p style=\"min-height:1.5em\">Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.<br /><br />Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.</p><p style=\"min-height:1.5em\"></p><h2><strong>About the Role</strong></h2><p style=\"min-height:1.5em\">We are expanding our sales team and seeking a Mid-Market Account Executive to drive growth in our Mid-Market segment (100–500 employees). Reports to the Regional Sales Directors and the VP of Sales.</p><p style=\"min-height:1.5em\"></p><h2><strong>Responsibilities</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Drive the full sales cycle for our new BI platform, balancing consultative and challenger approaches to exceed quarterly and annual quotas.</p></li><li><p style=\"min-height:1.5em\">Generate new business through a mix of network-led outbound and inbound qualification, ensuring operational excellence via MEDDPICC and the 3 Whys frameworks.</p></li><li><p style=\"min-height:1.5em\">Partner with Solutions Engineering to lead POCs and develop robust business value cases that simplify complex purchase decisions for technical buyers.</p></li><li><p style=\"min-height:1.5em\">Collaborate with Partners (Tech/SI) and internal teams (AM/SA) to build top-of-funnel pipeline, ensure seamless onboarding, and identify cross-sell or renewal opportunities.</p></li><li><p style=\"min-height:1.5em\">Maintain high visibility for GTM leadership by delivering accurate weekly forecasts with both bottom-up and top-down territory perspectives.</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>About You</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"> 2-3+ years exceeding quota selling SaaS solutions</p></li><li><p style=\"min-height:1.5em\">Creative and strategic thinker with strong problem-solving and prioritization skills</p></li><li><p style=\"min-height:1.5em\">Proven ability to influence technical and business stakeholders at all levels</p></li><li><p style=\"min-height:1.5em\">Experience with MEDDPICC, 3 Whys, Sandler, Command of the Message and other frameworks</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Nice to Haves</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">2–3+ years exceeding quotas in the Modern Data Stack (BI, Analytics, Warehouse, ETL)</p></li><li><p style=\"min-height:1.5em\">Deep understanding of the end-to-end data ecosystem and its integration</p></li><li><p style=\"min-height:1.5em\">Proven success and high agency within fast-paced, Series A–D environments</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Location</strong></h2><p style=\"min-height:1.5em\">This role allows for a hybrid work schedule if you are based in San Francisco. If you are based in Denver or anywhere else in the US, the role will be remote.</p><div style=\"min-height:1.2em;margin-top:0;margin-bottom:0\"> </div><h2><strong>Why Join Us</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team</p></li><li><p style=\"min-height:1.5em\">Health, dental, and vision insurance</p></li><li><p style=\"min-height:1.5em\">401(k) Plan</p></li><li><p style=\"min-height:1.5em\">Unlimited PTO</p></li></ul><p style=\"min-height:1.5em\"><em><strong><br />Omni is an equal opportunity employer.</strong> We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.</em></p>","descriptionPlain":" ABOUT OMNI\n\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 enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.\n\nBased in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.\n\n\n\n\nABOUT THE ROLE\n\nWe are expanding our sales team and seeking a Mid-Market Account Executive to drive growth in our Mid-Market segment (100–500 employees). Reports to the Regional Sales Directors and the VP of Sales.\n\n\n\n\nRESPONSIBILITIES\n\n - Drive the full sales cycle for our new BI platform, balancing consultative and challenger approaches to exceed quarterly and annual quotas.\n\n - Generate new business through a mix of network-led outbound and inbound qualification, ensuring operational excellence via MEDDPICC and the 3 Whys frameworks.\n\n - Partner with Solutions Engineering to lead POCs and develop robust business value cases that simplify complex purchase decisions for technical buyers.\n\n - Collaborate with Partners (Tech/SI) and internal teams (AM/SA) to build top-of-funnel pipeline, ensure seamless onboarding, and identify cross-sell or renewal opportunities.\n\n - Maintain high visibility for GTM leadership by delivering accurate weekly forecasts with both bottom-up and top-down territory perspectives.\n\n\n\n\nABOUT YOU\n\n -  2-3+ years exceeding quota selling SaaS solutions\n\n - Creative and strategic thinker with strong problem-solving and prioritization skills\n\n - Proven ability to influence technical and business stakeholders at all levels\n\n - Experience with MEDDPICC, 3 Whys, Sandler, Command of the Message and other frameworks\n\n\n\n\nNICE TO HAVES\n\n - 2–3+ years exceeding quotas in the Modern Data Stack (BI, Analytics, Warehouse, ETL)\n\n - Deep understanding of the end-to-end data ecosystem and its integration\n\n - Proven success and high agency within fast-paced, Series A–D environments\n\n\n\n\nLOCATION\n\nThis role allows for a hybrid work schedule if you are based in San Francisco. If you are based in Denver or anywhere else in the US, the role will be remote.\n\n \n\n\nWHY JOIN US\n\n - Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team\n\n - Health, dental, and vision insurance\n\n - 401(k) Plan\n\n - Unlimited PTO\n\n\nOmni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.","compensation":{"compensationTierSummary":"$220K – $250K • Offers Equity • (50% base/50% variable)","scrapeableCompensationSalarySummary":"$220K - $250K","compensationTiers":[{"id":"dd713256-fe46-4288-8c41-8e4aa4570008","tierSummary":"OTE $220K – $250K • Offers Equity • (50% base/50% variable)","title":null,"additionalInformation":"(50% base/50% variable)","components":[{"id":"462a05ec-05d2-4daa-95b0-9fcd2a1aff01","summary":"OTE $220K – $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":220000,"maxValue":250000},{"id":"2eeb4239-7bb1-4590-a972-8fd5f9ae245d","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":220000,"maxValue":250000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"4f242509-c483-46c4-b637-8e4508a8dfd9","title":"Strategic Enterprise Account Executive","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Atlanta, GA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"Austin, TX","address":{"postalAddress":{"addressRegion":"Texas"}}}],"publishedAt":"2026-09-08T14:30:03.597+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/omni/4f242509-c483-46c4-b637-8e4508a8dfd9","applyUrl":"https://jobs.ashbyhq.com/omni/4f242509-c483-46c4-b637-8e4508a8dfd9/application","descriptionHtml":"<h2><strong> About Omni</strong></h2><p style=\"min-height:1.5em\">Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.<br /><br />Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.</p><p style=\"min-height:1.5em\"></p><h2><strong>About the Role</strong></h2><p style=\"min-height:1.5em\">We are expanding our sales team and seeking a Strategic Enterprise Account Executive to own our largest, most complex relationships in the Strategic Enterprise segment (5,000+ employees). Reports to the Regional Sales Directors and the VP of Sales.</p><p style=\"min-height:1.5em\"></p><h2><strong>Responsibilities</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Own multi-year, multi-stakeholder enterprise agreements end-to-end, from initial C-suite engagement through renewal and expansion</p></li><li><p style=\"min-height:1.5em\">Build and execute long-term strategic account plans, orchestrating internal resources (Solutions Engineering, Exec Sponsors, Product, Customer Success) across the full account lifecycle</p></li><li><p style=\"min-height:1.5em\">Lead executive business reviews and act as a trusted advisor to VP/C-level stakeholders on how BI and data strategy ties to their broader business goals</p></li><li><p style=\"min-height:1.5em\">Navigate complex procurement, legal, and security review cycles typical of large enterprise organizations</p></li><li><p style=\"min-height:1.5em\">Serve as a voice of the largest accounts back into Product and GTM leadership, shaping roadmap and packaging decisions</p></li><li><p style=\"min-height:1.5em\">Deliver accurate, forecastable revenue on a smaller number of high-value, high-complexity opportunities</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>About You</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">7+ years exceeding quota selling SaaS solutions, with a track record specifically in strategic/named-account enterprise sales</p></li><li><p style=\"min-height:1.5em\">Deep experience running multi-year, multi-million dollar enterprise agreements with formal procurement and legal processes</p></li><li><p style=\"min-height:1.5em\">Executive presence: comfortable leading conversations with CFOs, CDOs, and other C-suite stakeholders</p></li><li><p style=\"min-height:1.5em\">Skilled at building internal and external coalitions to move large, politically complex deals forward</p></li><li><p style=\"min-height:1.5em\">High agency in solving ambiguous, high-stakes business problems with long sales cycles</p><p style=\"min-height:1.5em\"></p></li></ul><h2><strong>Nice to Haves</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">7+ years consistently exceeding quotas in the Modern Data Stack (BI, Analytics, ETL)</p></li><li><p style=\"min-height:1.5em\">Expert understanding of the end-to-end data ecosystem and complex integrations</p></li><li><p style=\"min-height:1.5em\">Proven success and high agency within fast-paced, Series A–D environments</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Location</strong></h2><p style=\"min-height:1.5em\">This role allows for a hybrid work schedule if you are based in San Francisco, Santa Cruz or Denver. If you are based anywhere else in the US, the role will be remote.</p><h2></h2><h2><strong>Why Join Us</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team</p></li><li><p style=\"min-height:1.5em\">Health, dental, and vision insurance</p></li><li><p style=\"min-height:1.5em\">401(k) Plan</p></li><li><p style=\"min-height:1.5em\">Unlimited PTO</p></li></ul><p style=\"min-height:1.5em\"><em><strong><br />Omni is an equal opportunity employer.</strong> We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.</em></p>","descriptionPlain":" ABOUT OMNI\n\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 enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.\n\nBased in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.\n\n\n\n\nABOUT THE ROLE\n\nWe are expanding our sales team and seeking a Strategic Enterprise Account Executive to own our largest, most complex relationships in the Strategic Enterprise segment (5,000+ employees). Reports to the Regional Sales Directors and the VP of Sales.\n\n\n\n\nRESPONSIBILITIES\n\n - Own multi-year, multi-stakeholder enterprise agreements end-to-end, from initial C-suite engagement through renewal and expansion\n\n - Build and execute long-term strategic account plans, orchestrating internal resources (Solutions Engineering, Exec Sponsors, Product, Customer Success) across the full account lifecycle\n\n - Lead executive business reviews and act as a trusted advisor to VP/C-level stakeholders on how BI and data strategy ties to their broader business goals\n\n - Navigate complex procurement, legal, and security review cycles typical of large enterprise organizations\n\n - Serve as a voice of the largest accounts back into Product and GTM leadership, shaping roadmap and packaging decisions\n\n - Deliver accurate, forecastable revenue on a smaller number of high-value, high-complexity opportunities\n\n\n\n\nABOUT YOU\n\n - 7+ years exceeding quota selling SaaS solutions, with a track record specifically in strategic/named-account enterprise sales\n\n - Deep experience running multi-year, multi-million dollar enterprise agreements with formal procurement and legal processes\n\n - Executive presence: comfortable leading conversations with CFOs, CDOs, and other C-suite stakeholders\n\n - Skilled at building internal and external coalitions to move large, politically complex deals forward\n\n - High agency in solving ambiguous, high-stakes business problems with long sales cycles\n   \n   \n\n\nNICE TO HAVES\n\n - 7+ years consistently exceeding quotas in the Modern Data Stack (BI, Analytics, ETL)\n\n - Expert understanding of the end-to-end data ecosystem and complex integrations\n\n - Proven success and high agency within fast-paced, Series A–D environments\n\n\n\n\nLOCATION\n\nThis role allows for a hybrid work schedule if you are based in San Francisco, Santa Cruz or Denver. If you are based anywhere else in the US, the role will be remote.\n\n\n\n\n\nWHY JOIN US\n\n - Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team\n\n - Health, dental, and vision insurance\n\n - 401(k) Plan\n\n - Unlimited PTO\n\n\nOmni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.","compensation":{"compensationTierSummary":"$300K – $360K • Offers Equity • (50% base/50% variable)","scrapeableCompensationSalarySummary":"$300K - $360K","compensationTiers":[{"id":"8d3f1a49-14cf-43b0-a78e-fed6970a153b","tierSummary":"OTE $300K – $360K • Offers Equity • (50% base/50% variable)","title":null,"additionalInformation":"(50% base/50% variable)","components":[{"id":"75aa42ed-8720-42f7-915b-705e14df8875","summary":"OTE $300K – $360K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":300000,"maxValue":360000},{"id":"541355bd-f656-453d-996e-1af6dba6a0ef","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":300000,"maxValue":360000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"d83518af-522e-4202-ac56-e926e0c6cc54","title":"Enterprise Account Executive","department":"Sales","team":"Sales","employmentType":"FullTime","location":"United States","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-08T14:02:47.959+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States","addressLocality":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/omni/d83518af-522e-4202-ac56-e926e0c6cc54","applyUrl":"https://jobs.ashbyhq.com/omni/d83518af-522e-4202-ac56-e926e0c6cc54/application","descriptionHtml":"<h2><strong> About Omni</strong></h2><p style=\"min-height:1.5em\">Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.<br /><br />Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.</p><p style=\"min-height:1.5em\"></p><h2><strong>About the Role</strong></h2><p style=\"min-height:1.5em\">We are expanding our sales team and seeking an Enterprise Account Executive to drive our next phase of growth in our Mid-Market/Enterprise segment (500–5,000 employees). Reports to the Regional Sales Directors and the VP of Sales.</p><p style=\"min-height:1.5em\"></p><h2><strong>Responsibilities</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Drive BI solution-selling (Consultative/Challenger) to consistently exceed quarterly and annual quotas</p></li><li><p style=\"min-height:1.5em\">Manage full-cycle pipeline using MEDDPICC and 3 Whys frameworks with high-research outbound</p></li><li><p style=\"min-height:1.5em\">Partner with Solutions Engineering to lead POCs and workshops, earning trust with deeply technical buyers</p></li><li><p style=\"min-height:1.5em\">Actively invest in Tech &amp; SI partnerships to build top-of-funnel pipeline and ensure customer success</p></li><li><p style=\"min-height:1.5em\">Develop robust business cases for renewals/cross-sells and deliver accurate weekly GTM forecasts</p><p style=\"min-height:1.5em\"></p></li></ul><h2><strong>About You</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">5+ years exceeding quotas selling SaaS solutions</p></li><li><p style=\"min-height:1.5em\">Expert at navigating and influencing C-suite and technical stakeholders in complex, multi-year deals</p></li><li><p style=\"min-height:1.5em\">Experience translating customer feedback into strategic insights for GTM and Product teams</p></li><li><p style=\"min-height:1.5em\">High agency in solving complex business problems and prioritizing high-impact revenue opportunities</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Nice to Haves</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">5-7+ years consistently exceeding quotas in the Modern Data Stack (BI, Analytics, ETL)</p></li><li><p style=\"min-height:1.5em\">Expert understanding of the end-to-end data ecosystem and complex integrations</p></li><li><p style=\"min-height:1.5em\">Proven success and high agency within fast-paced, Series A–D environments</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Location</strong></h2><p style=\"min-height:1.5em\">This role allows for a hybrid work schedule if you are based in San Francisco, Santa Cruz or Denver. If you are based anywhere else in the US, the role will be remote.</p><p style=\"min-height:1.5em\"></p><h2><strong>Why Join Us</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team</p></li><li><p style=\"min-height:1.5em\">Health, dental, and vision insurance</p></li><li><p style=\"min-height:1.5em\">401(k) Plan</p></li><li><p style=\"min-height:1.5em\">Unlimited PTO</p></li></ul><p style=\"min-height:1.5em\"><em><strong><br />Omni is an equal opportunity employer.</strong> We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.</em></p>","descriptionPlain":" ABOUT OMNI\n\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 enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.\n\nBased in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.\n\n\n\n\nABOUT THE ROLE\n\nWe are expanding our sales team and seeking an Enterprise Account Executive to drive our next phase of growth in our Mid-Market/Enterprise segment (500–5,000 employees). Reports to the Regional Sales Directors and the VP of Sales.\n\n\n\n\nRESPONSIBILITIES\n\n - Drive BI solution-selling (Consultative/Challenger) to consistently exceed quarterly and annual quotas\n\n - Manage full-cycle pipeline using MEDDPICC and 3 Whys frameworks with high-research outbound\n\n - Partner with Solutions Engineering to lead POCs and workshops, earning trust with deeply technical buyers\n\n - Actively invest in Tech & SI partnerships to build top-of-funnel pipeline and ensure customer success\n\n - Develop robust business cases for renewals/cross-sells and deliver accurate weekly GTM forecasts\n   \n   \n\n\nABOUT YOU\n\n - 5+ years exceeding quotas selling SaaS solutions\n\n - Expert at navigating and influencing C-suite and technical stakeholders in complex, multi-year deals\n\n - Experience translating customer feedback into strategic insights for GTM and Product teams\n\n - High agency in solving complex business problems and prioritizing high-impact revenue opportunities\n\n\n\n\nNICE TO HAVES\n\n - 5-7+ years consistently exceeding quotas in the Modern Data Stack (BI, Analytics, ETL)\n\n - Expert understanding of the end-to-end data ecosystem and complex integrations\n\n - Proven success and high agency within fast-paced, Series A–D environments\n\n\n\n\nLOCATION\n\nThis role allows for a hybrid work schedule if you are based in San Francisco, Santa Cruz or Denver. If you are based anywhere else in the US, the role will be remote.\n\n\n\n\nWHY JOIN US\n\n - Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team\n\n - Health, dental, and vision insurance\n\n - 401(k) Plan\n\n - Unlimited PTO\n\n\nOmni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.","compensation":{"compensationTierSummary":"$270K – $320K • Offers Equity • (50% base/50% variable)","scrapeableCompensationSalarySummary":"$270K - $320K","compensationTiers":[{"id":"bb75e9bc-805f-4bfa-a991-50699b679638","tierSummary":"OTE $270K – $320K • Offers Equity • (50% base/50% variable)","title":null,"additionalInformation":"(50% base/50% variable)","components":[{"id":"31b08ec6-a4f8-4a34-874b-8970f5ced83a","summary":"OTE $270K – $320K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":270000,"maxValue":320000},{"id":"9202fdf4-3898-498c-8daa-e95c93dcae85","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":270000,"maxValue":320000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"621778d1-e247-455b-a7e2-37dd7cae0341","title":" Solutions Engineer, Pre-Sales","department":"Solutions Engineering","team":"Solutions Engineering","employmentType":"FullTime","location":"San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-17T04:35:09.836+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/omni/621778d1-e247-455b-a7e2-37dd7cae0341","applyUrl":"https://jobs.ashbyhq.com/omni/621778d1-e247-455b-a7e2-37dd7cae0341/application","descriptionHtml":"<h2><strong> About Omni</strong></h2><p style=\"min-height:1.5em\">Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.<br /><br />Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.</p><p style=\"min-height:1.5em\"></p><h2><strong>About the Role</strong></h2><p style=\"min-height:1.5em\">As a Solutions Engineer, you'll be a trusted technical expert on the Omni platform, empowering our customers to do more with their data throughout the customer lifecycle. You'll work with companies across all industries, regions, and company sizes in our high-touch, forward-deployed model — leading complex evaluations, mentoring more junior SEs, and helping shape product direction as you share experience and feedback from the field.</p><p style=\"min-height:1.5em\"></p><h2><strong>Responsibilities</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Partner with Senior Solutions Engineers and the Sales team to support technical discovery, demos, and proofs of concept (POCs).</p></li><li><p style=\"min-height:1.5em\">Build 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.</p></li><li><p style=\"min-height:1.5em\">Support the transition of trials into successful customers by partnering with post-sales teams.</p></li><li><p style=\"min-height:1.5em\">Collaborate with Product, Design, and Engineering to relay user feedback and help inform product direction.</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>About You</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">4+ years of experience in data analytics or business intelligence.</p></li><li><p style=\"min-height:1.5em\">Strong SQL skills, using SQL for analytics.</p></li><li><p style=\"min-height:1.5em\">Interest in growing into a pre-sales career path.</p></li><li><p style=\"min-height:1.5em\">Passionate about working with data; love learning, and enthusiastic about helping and teaching others.</p></li><li><p style=\"min-height:1.5em\">Prior exposure to business intelligence and/or enterprise data analytics tools preferred (such as Looker, Omni, Tableau, PowerBI, Mode, Sisense, etc).</p></li><li><p style=\"min-height:1.5em\">Prior experience with customers (i.e. consulting) preferred</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Location</strong></h2><p style=\"min-height:1.5em\">This is a hybrid role based in San Francisco, with 3 days per week in-office.</p><p style=\"min-height:1.5em\"></p><h2><strong>Why Join Us</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team</p></li><li><p style=\"min-height:1.5em\">Health, dental, and vision insurance</p></li><li><p style=\"min-height:1.5em\">401(k) Plan</p></li><li><p style=\"min-height:1.5em\">Unlimited PTO</p></li></ul><p style=\"min-height:1.5em\"><em><strong><br />Omni is an equal opportunity employer.</strong> We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.</em></p>","descriptionPlain":" ABOUT OMNI\n\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 enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.\n\nBased in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.\n\n\n\n\nABOUT THE ROLE\n\nAs a Solutions Engineer, you'll be a trusted technical expert on the Omni platform, empowering our customers to do more with their data throughout the customer lifecycle. You'll work with companies across all industries, regions, and company sizes in our high-touch, forward-deployed model — leading complex evaluations, mentoring more junior SEs, and helping shape product direction as you share experience and feedback from the field.\n\n\n\n\nRESPONSIBILITIES\n\n - Partner with Senior Solutions Engineers and the Sales team to support technical discovery, demos, and proofs of concept (POCs).\n\n - Build 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\n - Support the transition of trials into successful customers by partnering with post-sales teams.\n\n - Collaborate with Product, Design, and Engineering to relay user feedback and help inform product direction.\n\n\n\n\nABOUT YOU\n\n - 4+ years of experience in data analytics or business intelligence.\n\n - Strong SQL skills, using SQL for analytics.\n\n - Interest in growing into a pre-sales career path.\n\n - Passionate about working with data; love learning, and enthusiastic about helping and teaching others.\n\n - Prior exposure to business intelligence and/or enterprise data analytics tools preferred (such as Looker, Omni, Tableau, PowerBI, Mode, Sisense, etc).\n\n - Prior experience with customers (i.e. consulting) preferred\n\n\n\n\nLOCATION\n\nThis is a hybrid role based in San Francisco, with 3 days per week in-office.\n\n\n\n\nWHY JOIN US\n\n - Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team\n\n - Health, dental, and vision insurance\n\n - 401(k) Plan\n\n - Unlimited PTO\n\n\nOmni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.","compensation":{"compensationTierSummary":"$140K – $160K • Offers Equity","scrapeableCompensationSalarySummary":"$140K - $160K","compensationTiers":[{"id":"9b9b593b-7893-42db-b37f-6f7b027e47cc","tierSummary":"OTE $140K – $160K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"a54a3611-9090-4639-8b06-86447df3f121","summary":"OTE $140K – $160K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":140000,"maxValue":160000},{"id":"b7d3f9ea-0826-4ffd-a329-7a930963327c","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":140000,"maxValue":160000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"e8f225fd-6e48-4693-acf3-f49594abc8a0","title":"Staff Solutions Engineer, Pre-Sales","department":"Solutions Engineering","team":"Solutions Engineering","employmentType":"FullTime","location":"United States","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-17T04:37:13.754+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States","addressLocality":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/omni/e8f225fd-6e48-4693-acf3-f49594abc8a0","applyUrl":"https://jobs.ashbyhq.com/omni/e8f225fd-6e48-4693-acf3-f49594abc8a0/application","descriptionHtml":"<h2><strong> About Omni</strong></h2><p style=\"min-height:1.5em\">Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.<br /><br />Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.</p><p style=\"min-height:1.5em\"></p><h2><strong>About the Role</strong></h2><p style=\"min-height:1.5em\">As a Staff Pre-Sales Solutions Engineer, you'll be a technical leader across the Solutions Engineering org, empowering our customers to do more with their data throughout the customer lifecycle. You'll work with companies across all industries, regions, and company sizes in our high-touch, forward-deployed model — leading our most strategic evaluations, setting the technical playbook for the team, and helping shape product direction as you share experience and feedback from the field.</p><p style=\"min-height:1.5em\"></p><h2><strong>Responsibilities</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Partner with sales leadership to provide technical expertise on our most strategic and complex opportunities, helping uncover and prove out use cases to showcase the value of the Omni platform.</p></li><li><p style=\"min-height:1.5em\">Lead technical discovery, product demonstrations, and Proofs of Concept (POCs) for our largest and most complex evaluations, enabling prospective customers on how to successfully use Omni on their data.</p></li><li><p style=\"min-height:1.5em\">Provide technical leadership across the Solutions Engineering team — mentoring SEs and shaping best practices for discovery, demos, and POCs.</p></li><li><p style=\"min-height:1.5em\">Partner with Product leadership to influence the roadmap based on patterns observed in the field.</p></li><li><p style=\"min-height:1.5em\">Represent the Solutions Engineering org in strategic, executive-level customer conversations.</p></li><li><p style=\"min-height:1.5em\">Smoothly transition trials into successful customers by partnering with post-sales teams and engaging with our partners to plan for ongoing support where needed.</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>About You</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">10+ years of pre-sales business intelligence experience, including deep experience in pre-sales Solutions Engineering, Sales Engineering, or Solutions Architecture roles supporting enterprise customers.</p></li><li><p style=\"min-height:1.5em\">Deep expertise with the modern data stack, including cloud data warehouses (e.g. Snowflake, BigQuery, Databricks, Redshift), transformation tools (e.g. dbt), and the broader analytics ecosystem.</p></li><li><p style=\"min-height:1.5em\">Proven track record leading technical discovery, product demonstrations, Proofs of Concept (POCs), and technical evaluations with senior business and technical stakeholders at enterprise accounts.</p></li><li><p style=\"min-height:1.5em\">Demonstrated experience mentoring or leading other Solutions Engineers and shaping team-wide technical practices.</p></li><li><p style=\"min-height:1.5em\">Strong SQL skills, using SQL for analytics.</p></li><li><p style=\"min-height:1.5em\">Exceptional, consultative communication skills across technical, non-technical, and executive audiences.</p></li><li><p style=\"min-height:1.5em\">Prior experience with business intelligence and/or enterprise data analytics tools preferred (such as Looker, Omni, Tableau, PowerBI, Mode, Sisense, etc).</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Location</strong></h2><p style=\"min-height:1.5em\">This is a fully remote role open to candidates based anywhere in the US, with a preference for candidates based in the Central or Eastern time zones.</p><h2></h2><h2><strong>Why Join Us</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team</p></li><li><p style=\"min-height:1.5em\">Health, dental, and vision insurance</p></li><li><p style=\"min-height:1.5em\">401(k) Plan</p></li><li><p style=\"min-height:1.5em\">Unlimited PTO</p></li></ul><p style=\"min-height:1.5em\"><em><strong><br />Omni is an equal opportunity employer.</strong> We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.</em></p>","descriptionPlain":" ABOUT OMNI\n\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 enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.\n\nBased in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.\n\n\n\n\nABOUT THE ROLE\n\nAs a Staff Pre-Sales Solutions Engineer, you'll be a technical leader across the Solutions Engineering org, empowering our customers to do more with their data throughout the customer lifecycle. You'll work with companies across all industries, regions, and company sizes in our high-touch, forward-deployed model — leading our most strategic evaluations, setting the technical playbook for the team, and helping shape product direction as you share experience and feedback from the field.\n\n\n\n\nRESPONSIBILITIES\n\n - Partner with sales leadership to provide technical expertise on our most strategic and complex opportunities, helping uncover and prove out use cases to showcase the value of the Omni platform.\n\n - Lead technical discovery, product demonstrations, and Proofs of Concept (POCs) for our largest and most complex evaluations, enabling prospective customers on how to successfully use Omni on their data.\n\n - Provide technical leadership across the Solutions Engineering team — mentoring SEs and shaping best practices for discovery, demos, and POCs.\n\n - Partner with Product leadership to influence the roadmap based on patterns observed in the field.\n\n - Represent the Solutions Engineering org in strategic, executive-level customer conversations.\n\n - Smoothly transition trials into successful customers by partnering with post-sales teams and engaging with our partners to plan for ongoing support where needed.\n\n\n\n\nABOUT YOU\n\n - 10+ years of pre-sales business intelligence experience, including deep experience in pre-sales Solutions Engineering, Sales Engineering, or Solutions Architecture roles supporting enterprise customers.\n\n - Deep expertise with the modern data stack, including cloud data warehouses (e.g. Snowflake, BigQuery, Databricks, Redshift), transformation tools (e.g. dbt), and the broader analytics ecosystem.\n\n - Proven track record leading technical discovery, product demonstrations, Proofs of Concept (POCs), and technical evaluations with senior business and technical stakeholders at enterprise accounts.\n\n - Demonstrated experience mentoring or leading other Solutions Engineers and shaping team-wide technical practices.\n\n - Strong SQL skills, using SQL for analytics.\n\n - Exceptional, consultative communication skills across technical, non-technical, and executive audiences.\n\n - Prior experience with business intelligence and/or enterprise data analytics tools preferred (such as Looker, Omni, Tableau, PowerBI, Mode, Sisense, etc).\n\n\n\n\nLOCATION\n\nThis is a fully remote role open to candidates based anywhere in the US, with a preference for candidates based in the Central or Eastern time zones.\n\n\n\n\n\nWHY JOIN US\n\n - Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team\n\n - Health, dental, and vision insurance\n\n - 401(k) Plan\n\n - Unlimited PTO\n\n\nOmni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.","compensation":{"compensationTierSummary":"$240K – $270K • Offers Equity","scrapeableCompensationSalarySummary":"$240K - $270K","compensationTiers":[{"id":"97743f19-52ab-4bfa-9127-0e802e504878","tierSummary":"OTE $240K – $270K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"58f65e12-a058-4279-83d1-20d2545926d7","summary":"OTE $240K – $270K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":240000,"maxValue":270000},{"id":"157292cd-56b4-4e8a-b1b9-02758a904788","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":240000,"maxValue":270000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"b7b60407-17e5-4b25-855d-6667c9fc15b3","title":"Solutions Engineer II, Pre-Sales","department":"Solutions Engineering","team":"Solutions Engineering","employmentType":"FullTime","location":"San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-17T04:33:34.687+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/omni/b7b60407-17e5-4b25-855d-6667c9fc15b3","applyUrl":"https://jobs.ashbyhq.com/omni/b7b60407-17e5-4b25-855d-6667c9fc15b3/application","descriptionHtml":"<h2><strong> About Omni</strong></h2><p style=\"min-height:1.5em\">Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.<br /><br />Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.</p><p style=\"min-height:1.5em\"></p><h2><strong>About the Role</strong></h2><p style=\"min-height:1.5em\">As a Solutions Engineer, you'll operate as a technical expert on the Omni platform, empowering our customers to do more with their data throughout the customer lifecycle. You'll work with companies across all industries, regions, and company sizes in our high-touch, forward-deployed model — owning increasingly complex evaluations and constantly discovering new use cases and needs.</p><p style=\"min-height:1.5em\"></p><h2><strong>Responsibilities</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Partner with the sales team to provide technical expertise in the sales process and beyond, helping uncover and prove out use cases to showcase the value of the Omni platform.</p></li><li><p style=\"min-height:1.5em\">Build and present Proofs of Concept (POCs) in the Omni Platform as part of the evaluation process, enabling prospective customers on how to successfully use Omni on their data.</p></li><li><p style=\"min-height:1.5em\">Smoothly transition trials into successful customers by partnering with post-sales teams and engaging with our partners to plan for ongoing support where needed.</p></li><li><p style=\"min-height:1.5em\">Collaborate extensively with Product, Design, and Engineering to provide user feedback and guide product direction.</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>About You</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">5-7 years of data analytics/BI experience including some pre-sales experience.</p></li><li><p style=\"min-height:1.5em\">Strong SQL skills, using SQL for analytics.</p></li><li><p style=\"min-height:1.5em\">Familiarity with the modern data stack, including cloud data warehouses (e.g. Snowflake, BigQuery, Databricks, Redshift) and transformation tools (e.g. dbt).</p></li><li><p style=\"min-height:1.5em\">Comfortable owning technical conversations directly with customers.</p></li><li><p style=\"min-height:1.5em\">Passionate about working with data; love learning, and enthusiastic about helping and teaching others.</p></li><li><p style=\"min-height:1.5em\">Prior experience with business intelligence and/or enterprise data analytics tools strongly preferred (such as Looker, Omni, Tableau, PowerBI, Mode, Sisense, etc).</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Location</strong></h2><p style=\"min-height:1.5em\">This is a hybrid role based in San Francisco, with 3 days per week in-office.</p><p style=\"min-height:1.5em\"></p><h2><strong>Why Join Us</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team</p></li><li><p style=\"min-height:1.5em\">Health, dental, and vision insurance</p></li><li><p style=\"min-height:1.5em\">401(k) Plan</p></li><li><p style=\"min-height:1.5em\">Unlimited PTO</p></li></ul><p style=\"min-height:1.5em\"><em><strong><br />Omni is an equal opportunity employer.</strong> We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.</em></p>","descriptionPlain":" ABOUT OMNI\n\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 enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.\n\nBased in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.\n\n\n\n\nABOUT THE ROLE\n\nAs a Solutions Engineer, you'll operate as a technical expert on the Omni platform, empowering our customers to do more with their data throughout the customer lifecycle. You'll work with companies across all industries, regions, and company sizes in our high-touch, forward-deployed model — owning increasingly complex evaluations and constantly discovering new use cases and needs.\n\n\n\n\nRESPONSIBILITIES\n\n - Partner with the sales team to provide technical expertise in the sales process and beyond, helping uncover and prove out use cases to showcase the value of the Omni platform.\n\n - Build and present Proofs of Concept (POCs) in the Omni Platform as part of the evaluation process, enabling prospective customers on how to successfully use Omni on their data.\n\n - Smoothly transition trials into successful customers by partnering with post-sales teams and engaging with our partners to plan for ongoing support where needed.\n\n - Collaborate extensively with Product, Design, and Engineering to provide user feedback and guide product direction.\n\n\n\n\nABOUT YOU\n\n - 5-7 years of data analytics/BI experience including some pre-sales experience.\n\n - Strong SQL skills, using SQL for analytics.\n\n - Familiarity with the modern data stack, including cloud data warehouses (e.g. Snowflake, BigQuery, Databricks, Redshift) and transformation tools (e.g. dbt).\n\n - Comfortable owning technical conversations directly with customers.\n\n - Passionate about working with data; love learning, and enthusiastic about helping and teaching others.\n\n - Prior experience with business intelligence and/or enterprise data analytics tools strongly preferred (such as Looker, Omni, Tableau, PowerBI, Mode, Sisense, etc).\n\n\n\n\nLOCATION\n\nThis is a hybrid role based in San Francisco, with 3 days per week in-office.\n\n\n\n\nWHY JOIN US\n\n - Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team\n\n - Health, dental, and vision insurance\n\n - 401(k) Plan\n\n - Unlimited PTO\n\n\nOmni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.","compensation":{"compensationTierSummary":"$180K – $200K • Offers Equity","scrapeableCompensationSalarySummary":"$180K - $200K","compensationTiers":[{"id":"b34480c0-d4b1-4d88-8276-65ff214d7c70","tierSummary":"OTE $180K – $200K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"b8d6442e-46fb-417a-af28-cf47cdc1c359","summary":"OTE $180K – $200K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":200000},{"id":"156b0fee-1706-4f27-9e73-aadb516d1913","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":200000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"6f7d41f0-c449-44be-845c-2fbdf226d0fa","title":"Senior Solutions Engineer, Pre-Sales (EMEA)","department":"Solutions Engineering","team":"Solutions Engineering","employmentType":"FullTime","location":"Dublin, Ireland","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"London, United Kingdom","address":{"postalAddress":{"addressRegion":"LND","addressCountry":"United Kingdom","addressLocality":"London"}}}],"publishedAt":"2026-09-15T08:03:48.664+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Dublin","addressCountry":"Ireland","addressLocality":"Dublin"}},"jobUrl":"https://jobs.ashbyhq.com/omni/6f7d41f0-c449-44be-845c-2fbdf226d0fa","applyUrl":"https://jobs.ashbyhq.com/omni/6f7d41f0-c449-44be-845c-2fbdf226d0fa/application","descriptionHtml":"<h2><strong> About Omni</strong></h2><p style=\"min-height:1.5em\">Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.<br /><br />Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.</p><p style=\"min-height:1.5em\"></p><h2><strong>About the Role</strong></h2><p style=\"min-height:1.5em\">As a Senior Pre-Sales Solutions Engineer, you'll be a trusted technical expert on the Omni platform, empowering our customers to do more with their data throughout the customer lifecycle. You'll work with companies across all industries, regions, and company sizes in our high-touch, forward-deployed model — leading complex evaluations, mentoring more junior SEs, and helping shape product direction as you share experience and feedback from the field.</p><div style=\"min-height:1.2em;margin-top:0;margin-bottom:0\"> </div><h2><strong>Responsibilities</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Partner with the sales team to provide technical expertise in the sales process and beyond, helping uncover and prove out use cases to showcase the value of the Omni platform.</p></li><li><p style=\"min-height:1.5em\">Lead technical discovery, product demonstrations, and Proofs of Concept (POCs) as part of the evaluation process, enabling prospective customers on how to successfully use Omni on their data.</p></li><li><p style=\"min-height:1.5em\">Smoothly transition trials into successful customers by partnering with post-sales teams and engaging with our partners to plan for ongoing support where needed.</p></li><li><p style=\"min-height:1.5em\">Mentor junior Solutions Engineers and help raise the bar on discovery, demo, and POC quality across the team.</p></li><li><p style=\"min-height:1.5em\">Collaborate extensively with Product, Design, and Engineering to provide user feedback and guide product direction.</p></li></ul><div style=\"min-height:1.2em;margin-top:0;margin-bottom:0\"> </div><h2><strong>About You</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">7-10 years of experience in enterprise pre-sales business intelligence or data analytics and focused on net new logo acquisition (for ex. Solutions Engineering, Sales Engineering, or Solutions Architecture roles). B2B saas pre-sales experience required.</p></li><li><p style=\"min-height:1.5em\">Deep expertise with the modern data stack, including cloud data warehouses (e.g. Snowflake, BigQuery, Databricks, Redshift), transformation tools (e.g. dbt), and the broader analytics ecosystem.</p></li><li><p style=\"min-height:1.5em\">Proven experience leading technical discovery, product demonstrations, Proofs of Concept (POCs), and technical evaluations with both business and technical stakeholders.</p></li><li><p style=\"min-height:1.5em\">Strong SQL skills, using SQL for analytics.</p></li><li><p style=\"min-height:1.5em\">Exceptional, consultative communication skills across technical and non-technical audiences.</p></li><li><p style=\"min-height:1.5em\">Prior experience with business intelligence and/or enterprise data analytics tools preferred (such as Looker, Omni, Tableau, PowerBI, Mode, Sisense, etc).</p></li></ul><div style=\"min-height:1.2em;margin-top:0;margin-bottom:0\"> </div><h2><strong>Location</strong></h2><p style=\"min-height:1.5em\">This is a hybrid role for candidates based in Dublin (3 days per week in-office). Candidates based in the UK have the option to work remotely or out of our London office.</p><h2><strong>Why Join Us</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team</p></li><li><p style=\"min-height:1.5em\">Health, dental, and vision insurance</p></li><li><p style=\"min-height:1.5em\">401(k) Plan</p></li><li><p style=\"min-height:1.5em\">Unlimited PTO</p></li></ul><p style=\"min-height:1.5em\"><em><strong><br />Omni is an equal opportunity employer.</strong> We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.</em></p>","descriptionPlain":" ABOUT OMNI\n\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 enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.\n\nBased in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.\n\n\n\n\nABOUT THE ROLE\n\nAs a Senior Pre-Sales Solutions Engineer, you'll be a trusted technical expert on the Omni platform, empowering our customers to do more with their data throughout the customer lifecycle. You'll work with companies across all industries, regions, and company sizes in our high-touch, forward-deployed model — leading complex evaluations, mentoring more junior SEs, and helping shape product direction as you share experience and feedback from the field.\n\n \n\n\nRESPONSIBILITIES\n\n - Partner with the sales team to provide technical expertise in the sales process and beyond, helping uncover and prove out use cases to showcase the value of the Omni platform.\n\n - Lead technical discovery, product demonstrations, and Proofs of Concept (POCs) as part of the evaluation process, enabling prospective customers on how to successfully use Omni on their data.\n\n - Smoothly transition trials into successful customers by partnering with post-sales teams and engaging with our partners to plan for ongoing support where needed.\n\n - Mentor junior Solutions Engineers and help raise the bar on discovery, demo, and POC quality across the team.\n\n - Collaborate extensively with Product, Design, and Engineering to provide user feedback and guide product direction.\n\n \n\n\nABOUT YOU\n\n - 7-10 years of experience in enterprise pre-sales business intelligence or data analytics and focused on net new logo acquisition (for ex. Solutions Engineering, Sales Engineering, or Solutions Architecture roles). B2B saas pre-sales experience required.\n\n - Deep expertise with the modern data stack, including cloud data warehouses (e.g. Snowflake, BigQuery, Databricks, Redshift), transformation tools (e.g. dbt), and the broader analytics ecosystem.\n\n - Proven experience leading technical discovery, product demonstrations, Proofs of Concept (POCs), and technical evaluations with both business and technical stakeholders.\n\n - Strong SQL skills, using SQL for analytics.\n\n - Exceptional, consultative communication skills across technical and non-technical audiences.\n\n - Prior experience with business intelligence and/or enterprise data analytics tools preferred (such as Looker, Omni, Tableau, PowerBI, Mode, Sisense, etc).\n\n \n\n\nLOCATION\n\nThis is a hybrid role for candidates based in Dublin (3 days per week in-office). Candidates based in the UK have the option to work remotely or out of our London office.\n\n\nWHY JOIN US\n\n - Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team\n\n - Health, dental, and vision insurance\n\n - 401(k) Plan\n\n - Unlimited PTO\n\n\nOmni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.","compensation":{"compensationTierSummary":"€165K – €186K • Offers Equity","scrapeableCompensationSalarySummary":"€165K - €186K","compensationTiers":[{"id":"c233d7b2-6179-4de9-acf5-fcadf26e87ea","tierSummary":"OTE €165K – €186K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"e6469549-133c-42f3-91b0-5fe4d816de28","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"ea4c5af9-c5b5-4776-aef7-92f0e167faf8","summary":"OTE €165K – €186K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"EUR","minValue":165000,"maxValue":186000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"EUR","minValue":165000,"maxValue":186000}]}},{"id":"ea5d36b5-5b55-4fec-b3fa-54f2bacc0cba","title":"Account Executive, Enterprise (Hebrew Speaking - Israel)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Dublin, Ireland","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"London, United Kingdom","address":{"postalAddress":{"addressRegion":"LND","addressCountry":"United Kingdom","addressLocality":"London"}}}],"publishedAt":"2026-09-08T14:48:03.900+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":null,"jobUrl":"https://jobs.ashbyhq.com/omni/ea5d36b5-5b55-4fec-b3fa-54f2bacc0cba","applyUrl":"https://jobs.ashbyhq.com/omni/ea5d36b5-5b55-4fec-b3fa-54f2bacc0cba/application","descriptionHtml":"<h2><strong> About Omni</strong></h2><p style=\"min-height:1.5em\">Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.<br /><br />Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.</p><p style=\"min-height:1.5em\"></p><h2><strong>About the Role</strong></h2><p style=\"min-height:1.5em\">We are expanding our sales team and seeking an Enterprise Account Executive, Israel to drive our next phase of growth in our Enterprise segment (500–5,000 employees). You will focus on the Israel market, and report to the Regional Sales Directors and the VP of Sales.</p><p style=\"min-height:1.5em\"></p><h2><strong>Responsibilities</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Drive BI solution-selling (Consultative/Challenger) to consistently exceed quarterly and annual quotas</p></li><li><p style=\"min-height:1.5em\">Manage full-cycle pipeline using MEDDPICC and 3 Whys frameworks with high-research outbound</p></li><li><p style=\"min-height:1.5em\">Partner with Solutions Engineering to lead POCs and workshops, earning trust with deeply technical buyers</p></li><li><p style=\"min-height:1.5em\">Actively invest in Tech &amp; SI partnerships to build top-of-funnel pipeline and ensure customer success</p></li><li><p style=\"min-height:1.5em\">Develop robust business cases for renewals/cross-sells and deliver accurate weekly GTM forecasts</p><p style=\"min-height:1.5em\"></p></li></ul><h2><strong>About You</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">5+ years exceeding quotas selling SaaS solutions</p></li><li><p style=\"min-height:1.5em\">Fluent in Hebrew and English</p></li><li><p style=\"min-height:1.5em\">Expert at navigating and influencing C-suite and technical stakeholders in complex, multi-year deals</p></li><li><p style=\"min-height:1.5em\">Experience translating customer feedback into strategic insights for GTM and Product teams</p></li><li><p style=\"min-height:1.5em\">High agency in solving complex business problems and prioritizing high-impact revenue opportunities</p><p style=\"min-height:1.5em\"></p></li></ul><h2><strong>Nice to Haves</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">5 years consistently exceeding quotas in the <em>Modern Data Stack </em>(BI, Analytics, ETL)</p></li><li><p style=\"min-height:1.5em\">Expert understanding of the end-to-end data ecosystem and complex integrations</p></li><li><p style=\"min-height:1.5em\">Proven success and high agency within fast-paced, Series A–D environments</p><p style=\"min-height:1.5em\"></p></li></ul><h2><strong>Location</strong></h2><p style=\"min-height:1.5em\">This role is hybrid in Dublin (3 days per week in-office). For candidates based in the UK, the position is fully remote.</p><p style=\"min-height:1.5em\"></p><h2><strong>Why Join Us</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team</p></li><li><p style=\"min-height:1.5em\">Health, dental, and vision insurance</p></li><li><p style=\"min-height:1.5em\">401(k) Plan</p></li><li><p style=\"min-height:1.5em\">Unlimited PTO</p></li></ul><p style=\"min-height:1.5em\"><em><strong><br />Omni is an equal opportunity employer.</strong> We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.</em></p>","descriptionPlain":" ABOUT OMNI\n\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 enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.\n\nBased in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.\n\n\n\n\nABOUT THE ROLE\n\nWe are expanding our sales team and seeking an Enterprise Account Executive, Israel to drive our next phase of growth in our Enterprise segment (500–5,000 employees). You will focus on the Israel market, and report to the Regional Sales Directors and the VP of Sales.\n\n\n\n\nRESPONSIBILITIES\n\n - Drive BI solution-selling (Consultative/Challenger) to consistently exceed quarterly and annual quotas\n\n - Manage full-cycle pipeline using MEDDPICC and 3 Whys frameworks with high-research outbound\n\n - Partner with Solutions Engineering to lead POCs and workshops, earning trust with deeply technical buyers\n\n - Actively invest in Tech & SI partnerships to build top-of-funnel pipeline and ensure customer success\n\n - Develop robust business cases for renewals/cross-sells and deliver accurate weekly GTM forecasts\n   \n   \n\n\nABOUT YOU\n\n - 5+ years exceeding quotas selling SaaS solutions\n\n - Fluent in Hebrew and English\n\n - Expert at navigating and influencing C-suite and technical stakeholders in complex, multi-year deals\n\n - Experience translating customer feedback into strategic insights for GTM and Product teams\n\n - High agency in solving complex business problems and prioritizing high-impact revenue opportunities\n   \n   \n\n\nNICE TO HAVES\n\n - 5 years consistently exceeding quotas in the Modern Data Stack (BI, Analytics, ETL)\n\n - Expert understanding of the end-to-end data ecosystem and complex integrations\n\n - Proven success and high agency within fast-paced, Series A–D environments\n   \n   \n\n\nLOCATION\n\nThis role is hybrid in Dublin (3 days per week in-office). For candidates based in the UK, the position is fully remote.\n\n\n\n\nWHY JOIN US\n\n - Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team\n\n - Health, dental, and vision insurance\n\n - 401(k) Plan\n\n - Unlimited PTO\n\n\nOmni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.","compensation":{"compensationTierSummary":"€236K – €280K • Offers Equity • (50% base/50% variable)","scrapeableCompensationSalarySummary":"€236K - €280K","compensationTiers":[{"id":"710963db-48b1-48a4-a864-954498347ece","tierSummary":"OTE €236K – €280K • Offers Equity • (50% base/50% variable)","title":null,"additionalInformation":"(50% base/50% variable)","components":[{"id":"29c12f47-fa20-4c22-90aa-f2e2be63abdc","summary":"OTE €236K – €280K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"EUR","minValue":236000,"maxValue":280000},{"id":"d8150e3d-adb3-4aba-a26c-121569690ea5","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"EUR","minValue":236000,"maxValue":280000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"d42d9a91-6c6a-480a-b1ad-04ee5550c827","title":"Product Marketing, Enterprise","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"Remote - US","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-08T14:55:36.904+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/omni/d42d9a91-6c6a-480a-b1ad-04ee5550c827","applyUrl":"https://jobs.ashbyhq.com/omni/d42d9a91-6c6a-480a-b1ad-04ee5550c827/application","descriptionHtml":"<h2><strong> About Omni</strong></h2><p style=\"min-height:1.5em\">Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.<br /><br />Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.</p><p style=\"min-height:1.5em\"></p><h2><strong>About the Role</strong></h2><p style=\"min-height:1.5em\">As Omni moves further into enterprise, industry, and line-of-business selling, we need a Product Marketer dedicated to the value and deal work that helps our biggest, most complex opportunities close. You'll proactively partner directly with Enterprise Account Executives, Solutions Engineers, and Customer Success to build the narratives, decks, and business-value content that move strategic deals forward.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\">This is a hands-on, builder's role on a small, ambitious Product Marketing team. You'll spend time understanding deals: shaping the story for a specific prospect, translating a technical proof-of-concept into a business case a CFO will understand, and turning a single great customer win into a reusable asset the whole enterprise sales team can use again.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\">You'd be a great fit for this role if you love building strong narratives across sales decks, customer stories, and value content as much as building reusable assets and processes to help a quickly growing sales team.</p><p style=\"min-height:1.5em\"></p><h2><strong>Responsibilities</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Build and continuously sharpen Omni's core enterprise sales decks, and customize it for specific industries, personas, and strategic opportunities</p></li><li><p style=\"min-height:1.5em\">Partner with Enterprise AEs and Solutions Engineers to develop deal-specific content — ROI narratives, executive one-pagers, business cases — that helps move strategic, multi-stakeholder deals through procurement, security, and executive review</p></li><li><p style=\"min-height:1.5em\">Turn customer wins into compelling customer story presentations and reference content, working directly with customers and the field to capture industry- and role-specific narratives</p></li><li><p style=\"min-height:1.5em\">Translate technical concepts into business value content (one-pagers, decks, ROI frameworks) for economic buyers who care about outcomes</p></li><li><p style=\"min-height:1.5em\">Build a library of reusable, easily customized content so AEs can self-serve for common scenarios, freeing you to focus on the highest-leverage strategic deals</p></li><li><p style=\"min-height:1.5em\">Be a proactive partner to the field: show up in deal reviews and account plans, spot where content or narrative gaps are costing us deals, and fix them before you're asked</p></li><li><p style=\"min-height:1.5em\">Support our growing enterprise motion as we expand into new industries and lines of business, working closely with the rest of the Product Marketing team on messaging and positioning consistency</p></li><li><p style=\"min-height:1.5em\">Help build Omni. We're a small team supporting ambitious GTM goals, so you'll get hands-on with projects outside a typical enterprise PMM remit</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>About You</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">5+ years of product marketing, competitive/deal-based marketing, or a hybrid sales-and-marketing role, ideally in B2B SaaS</p></li><li><p style=\"min-height:1.5em\">A track record of building content that directly influenced enterprise deal outcomes</p></li><li><p style=\"min-height:1.5em\">Strong storytelling instincts and the ability to translate technical concepts into business value for VP/C-level audiences</p></li><li><p style=\"min-height:1.5em\">Comfort working directly with sales and customers in-deal, including in front of prospects and at events</p></li><li><p style=\"min-height:1.5em\">High agency and bias to action: you notice a gap in a deal and go build the fix rather than waiting to be asked</p></li><li><p style=\"min-height:1.5em\">Experience in BI, data analytics, or the modern data stack is a strong plus</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Nice to Haves</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience supporting industry-specific or line-of-business selling motions</p></li><li><p style=\"min-height:1.5em\">Experience partnering with Solutions Engineering on technical deal support</p></li></ul><h2></h2><h2><strong>Why Join Us</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team</p></li><li><p style=\"min-height:1.5em\">Health, dental, and vision insurance</p></li><li><p style=\"min-height:1.5em\">401(k) Plan</p></li><li><p style=\"min-height:1.5em\">Unlimited PTO</p></li></ul><p style=\"min-height:1.5em\"><em><strong><br />Omni is an equal opportunity employer.</strong> We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.</em></p>","descriptionPlain":" ABOUT OMNI\n\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 enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.\n\nBased in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.\n\n\n\n\nABOUT THE ROLE\n\nAs Omni moves further into enterprise, industry, and line-of-business selling, we need a Product Marketer dedicated to the value and deal work that helps our biggest, most complex opportunities close. You'll proactively partner directly with Enterprise Account Executives, Solutions Engineers, and Customer Success to build the narratives, decks, and business-value content that move strategic deals forward.\n\n\n\nThis is a hands-on, builder's role on a small, ambitious Product Marketing team. You'll spend time understanding deals: shaping the story for a specific prospect, translating a technical proof-of-concept into a business case a CFO will understand, and turning a single great customer win into a reusable asset the whole enterprise sales team can use again.\n\n\n\nYou'd be a great fit for this role if you love building strong narratives across sales decks, customer stories, and value content as much as building reusable assets and processes to help a quickly growing sales team.\n\n\n\n\nRESPONSIBILITIES\n\n - Build and continuously sharpen Omni's core enterprise sales decks, and customize it for specific industries, personas, and strategic opportunities\n\n - Partner with Enterprise AEs and Solutions Engineers to develop deal-specific content — ROI narratives, executive one-pagers, business cases — that helps move strategic, multi-stakeholder deals through procurement, security, and executive review\n\n - Turn customer wins into compelling customer story presentations and reference content, working directly with customers and the field to capture industry- and role-specific narratives\n\n - Translate technical concepts into business value content (one-pagers, decks, ROI frameworks) for economic buyers who care about outcomes\n\n - Build a library of reusable, easily customized content so AEs can self-serve for common scenarios, freeing you to focus on the highest-leverage strategic deals\n\n - Be a proactive partner to the field: show up in deal reviews and account plans, spot where content or narrative gaps are costing us deals, and fix them before you're asked\n\n - Support our growing enterprise motion as we expand into new industries and lines of business, working closely with the rest of the Product Marketing team on messaging and positioning consistency\n\n - Help build Omni. We're a small team supporting ambitious GTM goals, so you'll get hands-on with projects outside a typical enterprise PMM remit\n\n\n\n\nABOUT YOU\n\n - 5+ years of product marketing, competitive/deal-based marketing, or a hybrid sales-and-marketing role, ideally in B2B SaaS\n\n - A track record of building content that directly influenced enterprise deal outcomes\n\n - Strong storytelling instincts and the ability to translate technical concepts into business value for VP/C-level audiences\n\n - Comfort working directly with sales and customers in-deal, including in front of prospects and at events\n\n - High agency and bias to action: you notice a gap in a deal and go build the fix rather than waiting to be asked\n\n - Experience in BI, data analytics, or the modern data stack is a strong plus\n\n\n\n\nNICE TO HAVES\n\n - Experience supporting industry-specific or line-of-business selling motions\n\n - Experience partnering with Solutions Engineering on technical deal support\n\n\n\n\n\nWHY JOIN US\n\n - Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team\n\n - Health, dental, and vision insurance\n\n - 401(k) Plan\n\n - Unlimited PTO\n\n\nOmni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.","compensation":{"compensationTierSummary":"$165K – $245K • Offers Equity","scrapeableCompensationSalarySummary":"$165K - $245K","compensationTiers":[{"id":"00f17f4f-21c1-466a-8d0a-44e482d4968d","tierSummary":"$165K – $245K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"6e324823-797d-4d31-a3b5-b64d1142e12c","summary":"$165K – $245K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":165000,"maxValue":245000},{"id":"2181da24-5651-4d1c-ac76-505687d1f1c2","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":165000,"maxValue":245000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"2262602a-3c51-4103-bb66-74676ebcb02a","title":"Business Development Representative (EMEA)","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"Dublin, Ireland","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-09-08T14:37:48.042+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Dublin","addressCountry":"Ireland","addressLocality":"Dublin"}},"jobUrl":"https://jobs.ashbyhq.com/omni/2262602a-3c51-4103-bb66-74676ebcb02a","applyUrl":"https://jobs.ashbyhq.com/omni/2262602a-3c51-4103-bb66-74676ebcb02a/application","descriptionHtml":"<h2><strong> About Omni</strong></h2><p style=\"min-height:1.5em\">Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.<br /><br />Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.</p><p style=\"min-height:1.5em\"></p><h2><strong>About the Role</strong></h2><p style=\"min-height:1.5em\">We love helping companies make better decisions and build new products with data. Since launching for commercial availability in 2023, we’ve built an innovative base of customers across almost every industry who trust our product and team. As we continue our growth journey, we’re looking for sales pioneers to help us take Omni to the next level.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\">This is where you come in.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\">Our BDRs are strategic and critical team players, who are responsible for identifying new business opportunities by prospecting and qualifying new customers and partners. You’ll be an integral part of the growth engine by creating and managing early funnel opportunities. You’ll work cross-functionally with sales and marketing to design, iterate, and execute unique and innovative go-to-market campaigns with a high sense of urgency.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\">We believe in promoting from within and helping you shape your career path ensuring growth in your sales profession. </p><h2><strong><br />Responsibilities</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Become an Omni expert and deeply understand our competitor landscape.</p></li><li><p style=\"min-height:1.5em\">Drive top of funnel for and with our account executive team. You will run campaigns across email, LinkedIn, and other channels to drive pipeline.</p></li><li><p style=\"min-height:1.5em\">Accelerate conversion of warm and inactive prospects.</p></li><li><p style=\"min-height:1.5em\">Craft thoughtful copy that articulates the unique value Omni creates.</p></li><li><p style=\"min-height:1.5em\">Constantly innovate and push the envelope, moving beyond typical B2B marketing playbooks to unlock scale and ROI.</p></li><li><p style=\"min-height:1.5em\">Say ‘yes’. We’re building fast and we’re looking for teammates who share and step up to new opportunities.</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>About You</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">1+ years of experience in business development.</p></li><li><p style=\"min-height:1.5em\">Ability to navigate through ambiguity. You know where we need to go, but recognize it won’t always be a straight path to get there.</p></li><li><p style=\"min-height:1.5em\">A willingness to fall forward. You bring and test ideas — even if it means don’t always land perfectly, but you iterate and try again.</p></li><li><p style=\"min-height:1.5em\">Strong attention to detail. You can dive into the weeds with the team and pick up on the seemingly small, yet important, details.</p></li><li><p style=\"min-height:1.5em\">AI Literacy</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Why Join Us</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team</p></li><li><p style=\"min-height:1.5em\">Health, dental, and vision insurance</p></li><li><p style=\"min-height:1.5em\">401(k) Plan</p></li><li><p style=\"min-height:1.5em\">Unlimited PTO</p></li></ul><p style=\"min-height:1.5em\"><em><strong><br />Omni is an equal opportunity employer.</strong> We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.</em></p>","descriptionPlain":" ABOUT OMNI\n\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 enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.\n\nBased in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.\n\n\n\n\nABOUT THE ROLE\n\nWe love helping companies make better decisions and build new products with data. Since launching for commercial availability in 2023, we’ve built an innovative base of customers across almost every industry who trust our product and team. As we continue our growth journey, we’re looking for sales pioneers to help us take Omni to the next level.\n\n\n\nThis is where you come in.\n\n\n\nOur BDRs are strategic and critical team players, who are responsible for identifying new business opportunities by prospecting and qualifying new customers and partners. You’ll be an integral part of the growth engine by creating and managing early funnel opportunities. You’ll work cross-functionally with sales and marketing to design, iterate, and execute unique and innovative go-to-market campaigns with a high sense of urgency.\n\n\n\nWe believe in promoting from within and helping you shape your career path ensuring growth in your sales profession. \n\n\n\nRESPONSIBILITIES\n\n - Become an Omni expert and deeply understand our competitor landscape.\n\n - Drive top of funnel for and with our account executive team. You will run campaigns across email, LinkedIn, and other channels to drive pipeline.\n\n - Accelerate conversion of warm and inactive prospects.\n\n - Craft thoughtful copy that articulates the unique value Omni creates.\n\n - Constantly innovate and push the envelope, moving beyond typical B2B marketing playbooks to unlock scale and ROI.\n\n - Say ‘yes’. We’re building fast and we’re looking for teammates who share and step up to new opportunities.\n\n\n\n\nABOUT YOU\n\n - 1+ years of experience in business development.\n\n - Ability to navigate through ambiguity. You know where we need to go, but recognize it won’t always be a straight path to get there.\n\n - A willingness to fall forward. You bring and test ideas — even if it means don’t always land perfectly, but you iterate and try again.\n\n - Strong attention to detail. You can dive into the weeds with the team and pick up on the seemingly small, yet important, details.\n\n - AI Literacy\n\n\n\n\nWHY JOIN US\n\n - Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team\n\n - Health, dental, and vision insurance\n\n - 401(k) Plan\n\n - Unlimited PTO\n\n\nOmni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"70e587b8-cd4e-4354-8e80-75d519f5a473","title":"Engagement Manager, Professional Services","department":"Solutions Architecture","team":"Solutions Architecture","employmentType":"FullTime","location":"Remote - US","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-08T14:00:31.664+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/omni/70e587b8-cd4e-4354-8e80-75d519f5a473","applyUrl":"https://jobs.ashbyhq.com/omni/70e587b8-cd4e-4354-8e80-75d519f5a473/application","descriptionHtml":"<h2><strong> About Omni</strong></h2><p style=\"min-height:1.5em\">Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.<br /><br />Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.</p><p style=\"min-height:1.5em\"></p><h2><strong>The Role</strong></h2><p style=\"min-height:1.5em\">Omni is looking for an Engagement Manager to help run delivery operations for our Professional Services team. You'll be the operational backbone behind how PS engagements are scoped, staffed, tracked, and delivered — partnering closely with Managing Architects, subcontracting partners, and Sales to make sure every client receives a world-class engagement.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\">You'll report to the Regional Director of Professional Services and act as a critical link between Sales, customers, and our partner network.</p><p style=\"min-height:1.5em\"></p><h2><strong>Responsibilities</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Own process and hygiene across the full engagement lifecycle — from scoping through Salesforce tracking to subcontract completion — partnering with Sales, Managing Architects, delivery partners, and Finance to keep every transaction clean and on time</p></li><li><p style=\"min-height:1.5em\">Serve as the primary relationship owner for subcontracting partners in your region — aligning on capacity, coordinating assignments, hosting a weekly sync, and keeping tracking systems current</p></li><li><p style=\"min-height:1.5em\">Deliver engagement support on customer projects where you have been scoped in., from project management to requirements gathering, and act as a first point of escalation on accounts needing additional support</p></li><li><p style=\"min-height:1.5em\">Support the pre-sales process — maintaining PS presale collateral, advising Account Executives on positioning and scoping, and coordinating SOWs for non-standard engagements</p></li><li><p style=\"min-height:1.5em\">Drive operational improvements through structured initiatives, decreasing overhead &amp; rapidly delivering tangible impact</p></li><li><p style=\"min-height:1.5em\">Bring structure and clarity to ambiguous problems and tasks, and to drive them independently to completion</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>About You</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">3+ years in consulting, SaaS, data or other relevant domains</p></li><li><p style=\"min-height:1.5em\">Track record of exceeding performance objectives as an individual contributor or a manager</p></li><li><p style=\"min-height:1.5em\">Excellent cross-functional collaborator, especially with sales teams</p></li><li><p style=\"min-height:1.5em\">Builder mentality — comfortable in an environment where process is still forming</p></li><li><p style=\"min-height:1.5em\">Clear, direct communicator who gives feedback early and often</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Nice to Haves</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Appreciation for core concepts of consulting businesses including; PS products, revenue management, time tracking and utilisation management</p></li><li><p style=\"min-height:1.5em\">Experience implementing analytics or embedded analytics</p></li><li><p style=\"min-height:1.5em\">Familiarity with dbt, Snowflake, or modern data stack tooling</p></li><li><p style=\"min-height:1.5em\">Prior experience at a high-growth Series B/C company</p></li><li><p style=\"min-height:1.5em\">Experience across the full pro. services delivery cycle from pre-sale through to project completion</p></li><li><p style=\"min-height:1.5em\">Comfort in a high-pressure deal cycle, understanding stakeholder challenges, empathizing with their position, and outlining a path to success</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Interview Process</strong></h2><ol style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Recruiter Screen (30 mins)</p></li><li><p style=\"min-height:1.5em\">HM Interview (45 mins)</p></li><li><p style=\"min-height:1.5em\">Interviews with 2 team members (45 mins each)</p></li><li><p style=\"min-height:1.5em\">Case Study (30-45 mins)</p></li><li><p style=\"min-height:1.5em\">Founder Interview (30 mins)</p></li></ol><p style=\"min-height:1.5em\"></p><h2><strong>Why Join Us</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team</p></li><li><p style=\"min-height:1.5em\">Health, dental, and vision insurance</p></li><li><p style=\"min-height:1.5em\">401(k) Plan</p></li><li><p style=\"min-height:1.5em\">Unlimited PTO</p></li></ul><p style=\"min-height:1.5em\"><em><strong><br />Omni is an equal opportunity employer.</strong> We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.</em></p>","descriptionPlain":" ABOUT OMNI\n\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 enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.\n\nBased in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.\n\n\n\n\nTHE ROLE\n\nOmni is looking for an Engagement Manager to help run delivery operations for our Professional Services team. You'll be the operational backbone behind how PS engagements are scoped, staffed, tracked, and delivered — partnering closely with Managing Architects, subcontracting partners, and Sales to make sure every client receives a world-class engagement.\n\n\n\nYou'll report to the Regional Director of Professional Services and act as a critical link between Sales, customers, and our partner network.\n\n\n\n\nRESPONSIBILITIES\n\n - Own process and hygiene across the full engagement lifecycle — from scoping through Salesforce tracking to subcontract completion — partnering with Sales, Managing Architects, delivery partners, and Finance to keep every transaction clean and on time\n\n - Serve as the primary relationship owner for subcontracting partners in your region — aligning on capacity, coordinating assignments, hosting a weekly sync, and keeping tracking systems current\n\n - Deliver engagement support on customer projects where you have been scoped in., from project management to requirements gathering, and act as a first point of escalation on accounts needing additional support\n\n - Support the pre-sales process — maintaining PS presale collateral, advising Account Executives on positioning and scoping, and coordinating SOWs for non-standard engagements\n\n - Drive operational improvements through structured initiatives, decreasing overhead & rapidly delivering tangible impact\n\n - Bring structure and clarity to ambiguous problems and tasks, and to drive them independently to completion\n\n\n\n\nABOUT YOU\n\n - 3+ years in consulting, SaaS, data or other relevant domains\n\n - Track record of exceeding performance objectives as an individual contributor or a manager\n\n - Excellent cross-functional collaborator, especially with sales teams\n\n - Builder mentality — comfortable in an environment where process is still forming\n\n - Clear, direct communicator who gives feedback early and often\n\n\n\n\nNICE TO HAVES\n\n - Appreciation for core concepts of consulting businesses including; PS products, revenue management, time tracking and utilisation management\n\n - Experience implementing analytics or embedded analytics\n\n - Familiarity with dbt, Snowflake, or modern data stack tooling\n\n - Prior experience at a high-growth Series B/C company\n\n - Experience across the full pro. services delivery cycle from pre-sale through to project completion\n\n - Comfort in a high-pressure deal cycle, understanding stakeholder challenges, empathizing with their position, and outlining a path to success\n\n\n\n\nINTERVIEW PROCESS\n\n 1. Recruiter Screen (30 mins)\n\n 2. HM Interview (45 mins)\n\n 3. Interviews with 2 team members (45 mins each)\n\n 4. Case Study (30-45 mins)\n\n 5. Founder Interview (30 mins)\n\n\n\n\nWHY JOIN US\n\n - Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team\n\n - Health, dental, and vision insurance\n\n - 401(k) Plan\n\n - Unlimited PTO\n\n\nOmni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.","compensation":{"compensationTierSummary":"$140K – $170K • Offers Equity","scrapeableCompensationSalarySummary":"$140K - $170K","compensationTiers":[{"id":"b91fb8d1-f676-4cde-a9c2-cef145afb5b2","tierSummary":"$140K – $170K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"5b1da936-e908-4ddd-be24-a8e7b6e7f481","summary":"$140K – $170K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":140000,"maxValue":170000},{"id":"3c092a80-f3f8-4789-8701-4cf4896f5489","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":140000,"maxValue":170000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"c6940d37-0acb-474e-bf39-7c0fc96784ce","title":"Head of Revenue Operations ","department":"Revenue Operations","team":"Revenue Operations","employmentType":"FullTime","location":"San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-15T17:33:55.176+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/omni/c6940d37-0acb-474e-bf39-7c0fc96784ce","applyUrl":"https://jobs.ashbyhq.com/omni/c6940d37-0acb-474e-bf39-7c0fc96784ce/application","descriptionHtml":"<h2><strong> About Omni</strong></h2><p style=\"min-height:1.5em\">Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.<br /><br />Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.</p><p style=\"min-height:1.5em\"></p><h2><strong>The Role</strong></h2><p style=\"min-height:1.5em\">We’re looking for a Head of Revenue Operations to build the systems, insights, and processes that support Omni’s next stage of growth. You’ll lead and develop the RevOps team while staying hands-on with the data, workflows, and technology that help our go-to-market teams operate effectively. Partnering closely with Sales, Marketing, Customer Success, Partnerships, and Finance, you’ll translate company goals into actionable plans and improve how we acquire, retain, and expand customers. This role combines strategic leadership with direct execution, including using AI to improve the quality and speed of everyday work. You’ll report to the VP of Sales.</p><p style=\"min-height:1.5em\"></p><h2><strong>Responsibilities</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Lead and develop the RevOps team.</strong> Set clear priorities, coach team members, and build the case for investments in people and tools that address the company’s most important needs.</p></li><li><p style=\"min-height:1.5em\"><strong>Turn growth targets into operating plans.</strong> Partner with Finance and go-to-market leaders on headcount and capacity modeling, segmentation, territories, and rules of engagement, connecting investment decisions to pipeline, productivity, and retention.</p></li><li><p style=\"min-height:1.5em\"><strong>Build and improve our revenue systems.</strong> Stay hands-on with Salesforce and connected tools, improving data structures, integrations, routing, onboarding, and automation while establishing clear ownership and documentation.</p></li><li><p style=\"min-height:1.5em\"><strong>Put AI into practical use.</strong> Identify and deploy workflows for areas such as account research, data enrichment, pipeline inspection, and analysis; validate outputs and measure adoption and business impact.</p></li><li><p style=\"min-height:1.5em\"><strong>Make revenue data reliable and useful.</strong> Establish consistent metric definitions, reconcile discrepancies across systems, and build reporting that helps teams understand performance and take action across the customer lifecycle.</p></li><li><p style=\"min-height:1.5em\"><strong>Strengthen forecasting and business reviews.</strong> Partner with leaders on pipeline inspection, forecasts, quarterly business reviews, and board reporting, surfacing risks, explaining performance, and recommending actions.</p></li><li><p style=\"min-height:1.5em\"><strong>Improve compensation and deal processes.</strong> Partner with Sales, Finance, and Legal on quota setting, compensation planning, quoting, approvals, and deal desk workflows, with clear handoffs for payouts and monthly close.</p></li><li><p style=\"min-height:1.5em\"><strong>Connect sales, partnership, and post-sales operations.</strong> Improve handoffs, customer health reporting, and renewal and expansion tracking so teams have the information and processes needed to manage customer relationships effectively.</p></li></ul><h2><strong>About You</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">You have 5+ years in Sales Operations, Revenue Operations, or other other similar roles</p></li><li><p style=\"min-height:1.5em\">You’ve been an IC but also have at least a year of experience leading lean revenue or sales operations teams in a B2B SaaS business.</p></li><li><p style=\"min-height:1.5em\">You can personally build and troubleshoot Salesforce workflows, data structures, automation, and integrations—and explain the decisions behind what you built.</p></li><li><p style=\"min-height:1.5em\">You’ve deployed AI or model-assisted workflows that people actually use. You can describe your contribution, how you validated the outputs, and the results.</p></li><li><p style=\"min-height:1.5em\">You can independently build and explain financial and capacity models connecting pipeline, conversion, sales cycles, rep ramp, retention, and investment. You understand unit economics and the differences between bookings, recurring revenue, recognized revenue, and cash.</p></li><li><p style=\"min-height:1.5em\">You’re comfortable investigating data with SQL, spreadsheets, and BI tools. You can reconcile conflicting numbers, recognize incomplete or misleading analysis, and make recommendations with clear assumptions.</p></li><li><p style=\"min-height:1.5em\">You’ve earned trust with senior leaders, constructively challenged assumptions, and resolved competing priorities. You can build a persuasive business case for headcount, tooling, or process changes.</p></li><li><p style=\"min-height:1.5em\">You’ve built processes and infrastructure where little existed before, making thoughtful decisions about what to build, buy, standardize, and document.</p></li><li><p style=\"min-height:1.5em\">You can deliver useful improvements quickly with imperfect information. You can explain what you prioritized, what you deferred, and how you adjusted based on results and feedback.</p></li></ul><h2><strong>Nice to Haves </strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience scaling a RevOps function at an early- or growth-stage SaaS company.</p></li><li><p style=\"min-height:1.5em\">Familiarity with analytics, business intelligence, or data infrastructure products.</p></li><li><p style=\"min-height:1.5em\">Experience with tools such as RevenueHero, LeanData, Everstage, or Common Paper, or comparable routing, compensation, and contract management systems.</p></li><li><p style=\"min-height:1.5em\">Experience supporting partnership programs or cloud marketplace sales.</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Location</strong></h2><p style=\"min-height:1.5em\">This is a hybrid role for candidates based in San Francisco (3 days per week in-office).  We are prioritizing finding someone in San Francisco who can collaborate in person with the team. Candidates based elsewhere in the US will work remotely.</p><h2><strong>Why Join Us</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team</p></li><li><p style=\"min-height:1.5em\">Health, dental, and vision insurance</p></li><li><p style=\"min-height:1.5em\">401(k) Plan</p></li><li><p style=\"min-height:1.5em\">Unlimited PTO</p></li></ul><p style=\"min-height:1.5em\"><em><strong><br />Omni is an equal opportunity employer.</strong> We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.</em></p>","descriptionPlain":" ABOUT OMNI\n\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 enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.\n\nBased in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.\n\n\n\n\nTHE ROLE\n\nWe’re looking for a Head of Revenue Operations to build the systems, insights, and processes that support Omni’s next stage of growth. You’ll lead and develop the RevOps team while staying hands-on with the data, workflows, and technology that help our go-to-market teams operate effectively. Partnering closely with Sales, Marketing, Customer Success, Partnerships, and Finance, you’ll translate company goals into actionable plans and improve how we acquire, retain, and expand customers. This role combines strategic leadership with direct execution, including using AI to improve the quality and speed of everyday work. You’ll report to the VP of Sales.\n\n\n\n\nRESPONSIBILITIES\n\n - Lead and develop the RevOps team. Set clear priorities, coach team members, and build the case for investments in people and tools that address the company’s most important needs.\n\n - Turn growth targets into operating plans. Partner with Finance and go-to-market leaders on headcount and capacity modeling, segmentation, territories, and rules of engagement, connecting investment decisions to pipeline, productivity, and retention.\n\n - Build and improve our revenue systems. Stay hands-on with Salesforce and connected tools, improving data structures, integrations, routing, onboarding, and automation while establishing clear ownership and documentation.\n\n - Put AI into practical use. Identify and deploy workflows for areas such as account research, data enrichment, pipeline inspection, and analysis; validate outputs and measure adoption and business impact.\n\n - Make revenue data reliable and useful. Establish consistent metric definitions, reconcile discrepancies across systems, and build reporting that helps teams understand performance and take action across the customer lifecycle.\n\n - Strengthen forecasting and business reviews. Partner with leaders on pipeline inspection, forecasts, quarterly business reviews, and board reporting, surfacing risks, explaining performance, and recommending actions.\n\n - Improve compensation and deal processes. Partner with Sales, Finance, and Legal on quota setting, compensation planning, quoting, approvals, and deal desk workflows, with clear handoffs for payouts and monthly close.\n\n - Connect sales, partnership, and post-sales operations. Improve handoffs, customer health reporting, and renewal and expansion tracking so teams have the information and processes needed to manage customer relationships effectively.\n\n\nABOUT YOU\n\n - You have 5+ years in Sales Operations, Revenue Operations, or other other similar roles\n\n - You’ve been an IC but also have at least a year of experience leading lean revenue or sales operations teams in a B2B SaaS business.\n\n - You can personally build and troubleshoot Salesforce workflows, data structures, automation, and integrations—and explain the decisions behind what you built.\n\n - You’ve deployed AI or model-assisted workflows that people actually use. You can describe your contribution, how you validated the outputs, and the results.\n\n - You can independently build and explain financial and capacity models connecting pipeline, conversion, sales cycles, rep ramp, retention, and investment. You understand unit economics and the differences between bookings, recurring revenue, recognized revenue, and cash.\n\n - You’re comfortable investigating data with SQL, spreadsheets, and BI tools. You can reconcile conflicting numbers, recognize incomplete or misleading analysis, and make recommendations with clear assumptions.\n\n - You’ve earned trust with senior leaders, constructively challenged assumptions, and resolved competing priorities. You can build a persuasive business case for headcount, tooling, or process changes.\n\n - You’ve built processes and infrastructure where little existed before, making thoughtful decisions about what to build, buy, standardize, and document.\n\n - You can deliver useful improvements quickly with imperfect information. You can explain what you prioritized, what you deferred, and how you adjusted based on results and feedback.\n\n\nNICE TO HAVES \n\n - Experience scaling a RevOps function at an early- or growth-stage SaaS company.\n\n - Familiarity with analytics, business intelligence, or data infrastructure products.\n\n - Experience with tools such as RevenueHero, LeanData, Everstage, or Common Paper, or comparable routing, compensation, and contract management systems.\n\n - Experience supporting partnership programs or cloud marketplace sales.\n\n\n\n\nLOCATION\n\nThis is a hybrid role for candidates based in San Francisco (3 days per week in-office).  We are prioritizing finding someone in San Francisco who can collaborate in person with the team. Candidates based elsewhere in the US will work remotely.\n\n\nWHY JOIN US\n\n - Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team\n\n - Health, dental, and vision insurance\n\n - 401(k) Plan\n\n - Unlimited PTO\n\n\nOmni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.","compensation":{"compensationTierSummary":"$200K – $240K • Offers Equity","scrapeableCompensationSalarySummary":"$200K - $240K","compensationTiers":[{"id":"8cf7338f-ff20-4230-b7a7-e2a43cd9e34a","tierSummary":"OTE $200K – $240K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"07b88d31-99cd-4ec2-8d58-b3554c3ec2cb","summary":"OTE $200K – $240K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":240000},{"id":"858f0c56-f4f4-4f52-b142-8aeaddb3906d","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":240000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}}],"apiVersion":"1"}