{"id":2344853,"url":"https://alion.io/job/google-deepmind-finance-expert-lead-gemini-data","title":"Finance Expert Lead, Gemini Data","company":{"id":4,"name":"Google DeepMind","domain":"deepmind.google","url":"https://alion.io/company/deepmind","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"Finance","role_family":"Finance","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":123000,"max_usd":273000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":533},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Gemini","optional":false},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-10-12T08:09:43Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-15T15:12:56Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About the job\nAt Google DeepMind, we are expanding Gemini’s frontier AI capabilities into highly specialized professional domains. We are seeking a Finance Expert Lead to shape our foundational data strategy for the financial sector. In this role, you will apply your deep domain knowledge to map complex Finance workflows, identify critical areas for model enhancement, and curate the high-quality data necessary to make Gemini the ultimate AI assistant for Finance professionals.Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.\nWe are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nSet the Finance data strategy by mapping workflows and tools into a use-case taxonomy, and partnering with research to prioritize capabilities, data coverage, and sourcing pipelines.\nCreate high-quality Finance data by designing tasks and rubrics, and quality assurance for datasets from vendors, customers, and synthetic pipelines for correctness, realism, and coverage to close gaps.\nSteer data priorities using model failures by reproducing reported losses and stress-testing checkpoints on real workflows to identify missing domain knowledge, broken conventions, and false assumptions.\nBuild Finance evaluations by assessing industry benchmarks to measure data strategy success, and advise cross-team evaluation efforts on domain coverage and realism.\nScale expertise by recruiting and guiding subject matter experts (SMEs), acting as the domain authority to enforce vendor quality, and converting Googler expert contributions into usable training and evaluation data.\nQualifications\nMinimum qualifications:\nMaster's degree in Finance, Economics, Business Administration, a related quantitative field, or equivalent practical experience.\nExperience measuring the performance of Large Language Models (LLMs) or generative AI tools and optimizing them for financial use cases.\nPreferred qualifications:\nDemonstrated dual expertise bridging both fields, such as transitioning from a direct financial professional into a technical role or vice versa.\nExperience breaking down complex professional workflows into concrete tasks, evaluation rubrics, and quality standards that can be used to train and evaluate models.\nExperience prioritizing capabilities and developing a strategic point of view on how advanced AI models can unlock value for financial professionals.\nExcellent cross-functional communication skills, with experience collaborating closely with technical partners.\nStrong technical and research capabilities, including proficiency in programming evaluating machine learning models, and applying Large Language Models to complex financial workflows.","description_format":"text","description_chars":3443,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["LLM & Generative AI","Foundation Models","AI Research Labs","AI for 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