{"id":2395638,"url":"https://alion.io/job/exl-engagement-manager-product-analytics","title":"Engagement Manager - Product Analytics","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":81,"open_postings":67,"ghost_share":0,"stale_share":0.94,"repost_share":0,"time_to_fill_p50_days":8,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":165000,"currency":"USD","period":"year","gross":null,"usd_annual":165000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM","optional":false},{"name":"A/B Testing","optional":true},{"name":"Python","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-12T20:24:28Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-16T02:36:05Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"The resource will support the measurement, evaluation, and continuous improvement of AI/LLM-powered products. The role will focus on evaluating product and model performance, analyzing customer behavior and usage, defining product metrics, and translating insights into actionable recommendations. The scope is expected to expand to broader developer productivity, and platform measurement initiatives.\nWork Location: San Francisco, CA\nWork Mode: Hybrid (2-3 days/week in office)\nSalary Range: $150K/Yr - $165K/Yr Base + Annual Bonus\nThe posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process\nFor more information on benefits and what we offer please visit us at US Careers and Benefits\n Design and execute evaluation frameworks to assess product quality, accuracy, and user intent alignment\nDefine, track, and analyze KPIs and success metrics across the product lifecycle\nPerform Product Analytics to understand customer behavior, product usage, and performance\nIdentify data, tracking, and instrumentation gaps and improve measurement capabilities \nDevelop and support A/B testing and experimentation to evaluate product strategies\nSupport data pipelines, reporting, and analytics infrastructure\nAnalyze feature adoption, engagement, retention, and product performance trends\nDevelop dashboards, reporting, and analytical insights to support product decision-making\nPartner with Product, Engineering, Data Science, and Business teams to translate insights into actionable product improvements\n Bachelor’s degree or higher in Engineering, Data Science, Statistics, Computer Science, or a related field\n7+ years of relevant experience in Data Science, Product Analytics, or related disciplines\nProficiency in SQL and Python with experience working with large-scale products or event-based datasets\nExperience with data platforms, BI/reporting, and statistical modeling\nStrong understanding of product performance measurement and evaluation\nAbility to work independently, identify information gaps, and prioritize high-impact initiatives\nExperience in working with financial institutions like banks or fintech analytics\nStrong communication and stakeholder management skills with the ability to work across 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