{"id":886226,"url":"https://alion.io/job/tilt-staff-data-engineer","title":"Staff Data Engineer","company":{"id":714123,"name":"Tilt","domain":"tilt.io","url":"https://alion.io/company/tilt-6","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Work at a Startup","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":210000,"max":270000,"currency":"USD","period":"year","gross":null,"usd_annual":270000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agora","optional":false},{"name":"AI Agents","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"Machine Learning","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-14T04:03:09Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-11-03T20:49:56Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":50},"description":"About Agora Intelligence (d.b.a. Tilt)\nAgora Intelligence is building the audited methodology layer agents call before touching portfolios. Our product, Tilt, is GitHub for rules-based investment methodologies: an open platform and marketplace where investment strategies are created, tested, audited, and distributed - by humans and AI agents alike. As AI agents begin managing real portfolios, they need a trusted source of verified investment logic before they can act. Tilt is that source.\nWe operate across two connected surfaces: InvestOS, an open standard that lets any brokerage or platform plug verified methodology into its own AI experience; and Tilt, the reference implementation of InvestOS. Tilt is an agentic harness where investors, portfolio managers, and creators can author, remix, and publish strategies. We're a small, senior team (from BlackRock, Bloomberg, BGI, and Quant Funds) backed by Portage Ventures, Lerer Hippeau, Cumberland Investments (and more), working with major brokerages and financial data providers.\nWhat We're Building\nInvestOS - an open standard for rules-based methodologies and its reference implementation.\nWe believe any idea - a theme, a trend, a thesis - can be turned into an investable view. On Tilt, anyone can express a view as a rules-based basket of assets in seconds, backed by evidence and scored against what actually happens. Whether you're modeling a thematic strategy, tracking an emerging technology, or capturing the public-market footprint of a private company, what used to take an index committee months now takes an API call - 100× faster, at a fraction of the cost. We also transform views found on the open web into rules-based strategies. This lets us measure the performance of any opinion or prediction about the future. The unit is a tilt: a creator-authored view of the world.\nThe bigger bet: as AI agents take on more of investing, they'll need an open, trusted standard for how investment views are expressed, verified, and combined. When anyone can generate a strategy in seconds, the strategies aren't the asset. The system that versions, tests, and grades them is. We're building that standard - and the platform where those views are made. We’re also building the learning loops for when views resolve against reality, as measured by markets.\nWho We Are\nWe're a team of ~25 senior-to-principal engineers, designers and AI/ML researchers. More than half the team are former founders. We move fast, challenge assumptions, and believe AI should fundamentally change how financial products are built. We have no management hierarchy and work remotely with 4 one-week hackathons per year. “Full stack” to us means you own a slice of the product, including its roadmap and go-to-market.\nThe Opportunity\nCreating an investable index from a conversation with AI isn't a traditional data engineering problem. Every investment methodology we generate depends on high-quality, continuously evolving data flowing reliably across hundreds of sources, pipelines, and systems.\nWe're looking for a Staff Data Engineer who thrives in ambiguity, enjoys building large-scale data platforms, and wants to define how AI-native investing is powered behind the scenes.\nYou'll work directly with the founders, product engineers, and AI/ML researchers to build the data foundation that powers everything we do. This isn't a role where you'll simply maintain pipelines. You'll help identify opportunities, influence our data strategy, and set the standard for data engineering across Tilt.\nWhat You'll Do\nDesign and build the data platform that powers methodology generation, AI reasoning, analytics, and investment products.\nDevelop reliable, scalable pipelines that ingest, transform, and enrich structured and unstructured financial information.\nBuild systems that continuously process data from filings, market data, news, research, and other external sources.\nDesign data models that support product development, machine learning, and long-term platform evolution.\nEnsure our data is accurate, observable, reliable, and available when every downstream system depends on it.\nMake thoughtful tradeoffs between data quality, performance, scalability, and operational simplicity.\nRaise the quality of data engineering across the company through technical leadership, architecture, and best practices.\nContinuously improve how we build by leveraging AI throughout development, testing, monitoring, and data quality workflows.\nWho You Are\nYou've spent years building production data platforms, not just ETL pipelines, and understand the difference.\nYou naturally think about how data enables products, not just how it's stored.\nYou have strong engineering fundamentals and are comfortable designing distributed data systems at scale.\nYou're able to simplify complex data architectures into systems that are reliable, maintainable, and easy to extend.\nYou understand that trustworthy AI starts with trustworthy data.\nYou communicate technical ideas clearly and enjoy working closely with engineers, AI researchers, and founders.\nYou're comfortable taking ownership without waiting for direction and enjoy solving foundational infrastructure problems.\nYou believe AI should fundamentally change how financial data is collected, processed, and used.\nWhat Sets You Apart\nExperience building large-scale data platforms, streaming pipelines, or modern data infrastructure.\nExperience working with financial, market, or other high-volume information sources.\nStrong experience with distributed systems, cloud infrastructure, and data orchestration.\nExperience supporting machine learning or AI platforms with high-quality data pipelines.\nExperience at an early-stage startup where you've owned significant platform or infrastructure decisions.\nYou're energized by building systems that quietly power everything else.\nWhat We Offer\nCompetitive base salary and meaningful equity package\nDirect partnership with the founders and a team where more than half are former founders.\nComprehensive health and dental benefits.\nA remote-first, flexible work environment.\nThe opportunity to help define a company creating a new category in capital markets.\nHow to Apply\nApply through Bookface and include:\nA link to your GitHub, portfolio, or examples of your work.\nA short note about a data platform or infrastructure project you've built that you're most proud of, including the problem you solved and your role in the outcome.\nA few sentences on why you're interested in Tilt.","description_format":"text","description_chars":6512,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Angel Networks & Startup Accelerators","Investing Apps & 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