{"id":1043407,"url":"https://alion.io/job/cartesia-analytics-engineer","title":"Analytics Engineer","company":{"id":1846,"name":"Cartesia","domain":"cartesia.ai","url":"https://alion.io/company/cartesia","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":91,"open_postings":27,"ghost_share":0.074,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":170,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":180000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"SQL","optional":false},{"name":"LLM","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-09-18T17:13:57Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-17T23:38:58Z","board_verified":true,"closed_at":null,"days_open":29,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":28},"description":"About Cartesia\nOur mission is to architect AI that learns from and interacts with the world like humans do.\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\nAbout the Role\nWe're hiring an Analytics Engineer to build and own Cartesia's company-wide source of truth. You'll bring together product, billing, CRM, marketing, and operational data into reliable models and shared metric definitions that teams can trust.\nThis is an early, foundational data hire. You'll fix urgent correctness issues, strengthen the warehouse and transformation layer, and create the first trusted dashboards for Product, GTM, Growth, RevOps, and leadership. The goal is not simply to answer questions-it is to build the systems, models, and standards that let the company answer them consistently.\nYour Impact\nOwn the path from source systems to canonical datasets, metrics, and dashboards.\n\nIdentify and fix data-quality issues across pipelines, models, definitions, and reporting surfaces.\n\nBuild and maintain reliable warehouse models using SQL and dbt or equivalent tooling.\n\nEstablish clear metric definitions, tests, lineage, freshness monitoring, documentation, and ownership.\n\nPartner closely with Product, Engineering, RevOps, Growth, and GTM to translate business concepts into durable data models.\n\nCreate trusted dashboards for core company metrics such as activation, usage, billing, customer health, and marketing performance.\n\nMake common data questions self-serve while ensuring dashboards reuse canonical logic rather than duplicating it.\n\nAudit the existing data stack and recommend pragmatic improvements or overhauls to ETL and analytics tooling where needed.\n\nEducate the company on how to use the source of truth and how new metrics and dashboards should be created.\n\nWhat You Bring\n5+ years in analytics engineering, data engineering, or a technically rigorous analytics role, ideally at a B2B SaaS or developer-tools company.\n\nExpert SQL and strong warehouse modeling fundamentals, including dimensional modeling, historization, and identity resolution.\n\nProduction experience with dbt or similar transformation tooling, plus testing, orchestration, monitoring, lineage, and documentation.\n\nA track record of turning fragmented data and competing definitions into canonical, reusable models.\n\nExperience working across product, billing, CRM, and marketing data; self-serve funnel experience is especially valuable.\n\nStrong judgment about when a problem belongs in a source system, pipeline, warehouse model, semantic layer, or dashboard.\n\nThe ability to investigate discrepancies end-to-end and prevent them from recurring-not just patch the final report.\n\nStrong stakeholder instincts and the ability to make ambiguous business concepts precise.\n\nA practical, low-ego approach: willing to fix urgent issues while building toward a durable foundation.\n\nNice-To-Haves\nExperience as an early or founding member of a data function.\n\nExperience with full-funnel growth analytics, attribution, channel ROI, CRM, billing, or self-serve conversion.\n\nExperience building self-serve data workflows or using LLM-powered analytics tooling.\n\nNot Required\nMachine learning, predictive modeling, or traditional data science experience. This is an analytics engineering role focused on trustworthy systems and source-of-truth ownership.\n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\nMore Details\nIn-office policy: We’re an in-person team based out of offices in San Francisco, London and Bangalore. We love being in the office, hanging out together, and learning from each other every day.\nVisa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\nWe ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way.\nWe support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed.\nOur Benefits (US Employees Only)\nCompensation Competitive base salary alongside attractive equity package.\nHealth Insurance Fully covered medical insurance along with dental and vision for you and your family.\nParental Leave 9 weeks paternity & 12 weeks maternity leave\n401(k)\nCommuter Allowance A monthly stipend to help you get to and from the office.\nFlexible PTO Take as much time as you need to recharge your batteries.\nMeals & Snacks Lunch, dinner and plenty of snacks, provided daily.\nYour own personal Yoshi\nOur Commitment to Equal Opportunity\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","description_format":"text","description_chars":5852,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Health insurance","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Speech & Audio AI","Foundation Models","AI Research Labs","Generative Audio & Music"],"lifecycle":[{"event":"open","at":"2026-09-18T20:43:12Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 18","filings_12m":18,"filings_prev_12m":1,"green_card_filings_12m":0,"median_offered_wage_usd":272500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":3}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":28,"expected_fill_days":170,"reasons":["conf:1","velocity","win:early"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":true},"html_url":"https://alion.io/job/cartesia-analytics-engineer","json_url":"https://alion.io/job/cartesia-analytics-engineer.json","meta":{"generated_at":"2026-10-18T02:15:23Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3687,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1846},"rest":"https://alion.io/mcp/rest/get_company?id=1846"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcartesia-analytics-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcartesia-analytics-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcartesia-analytics-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/cartesia-analytics-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcartesia-analytics-engineer"}]}