{"id":1268646,"url":"https://alion.io/job/littlebird-product-analyst","title":"Product Analyst","company":{"id":2106924,"name":"Littlebird","domain":"littlebird.ai","url":"https://alion.io/company/littlebird-ai","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Gem","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-04T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":{"label":"PST","utc_offset_min":-8,"utc_offset_max":-8},"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":72000,"max_usd":140000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":112},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"SQL","optional":false},{"name":"ClickHouse","optional":true},{"name":"dbt","optional":true},{"name":"Python","optional":true},{"name":"Recommender Systems","optional":true},{"name":"SciPy","optional":true},{"name":"Statsmodels","optional":true}],"status":"live","first_seen_at":"2026-03-02T16:13:17Z","employer_posted_date":"2026-05-13","last_verified_at":"2026-10-05T02:09:45Z","board_verified":true,"closed_at":null,"days_open":216,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":215},"description":"Product Analyst (Remote)\nAbout Littlebird\nLittlebird is your AI-powered personal operating system. We capture context from your daily life -- meetings, messages, browsing, notes -- and use it to help you remember everything, prioritize your day, and solve real problems. Think of us as the AI assistant that actually knows you. Check out the recent TechCrunch news on our $11M seed funding and what users are saying about the product.\nWe're growing fast, and we're entering a phase where gut instincts need to be backed by rigorous data. That's where you come in.\nThe Role\nWe're looking for a sharp, stats-literate Analyst who can own product analytics end-to-end. We need someone with the judgment to know what questions to ask and the rigor to answer them properly.\nGenerative AI can write SQL. It can calculate p-values. What it can't do is design the right experiment, catch a subtle confound in your cohort analysis, or connect a qualitative user signal to a quantitative pattern. That's the job.\nYou'll work closely with our C-suite and product leadership to drive decisions on retention, engagement, conversion, and experimentation.\nWhat You'll Do\nOwn experimentation. Design A/B tests with proper sample size calculations, power analysis, and significance testing. Run them. Interpret them. Flag when results are misleading.\nAnalyze retention and engagement. Build and maintain cohort analyses, retention curves, and conversion funnels. Identify what separates users who stick from users who churn.\nAnswer the hard questions. \"Does Meeting Notes drive paid conversion, or do power users just happen to use it?\" -- that kind of thing. Correlation vs. causation is your bread and butter.\nDefine and track metrics. Help us build the right metrics framework for our stage. Know when a metric is vanity and when it's signal.\nCommunicate findings clearly. Present insights to technical and non-technical stakeholders in a way that drives action, not confusion.\nUse LLMs as a force multiplier. We expect you to use AI tools aggressively for query generation, data wrangling, and visualization -- so you can spend your time on the thinking, not the typing.\nWhat We're Looking For\nMust-haves:\n3-5 years of experience in product analytics, data analysis, or a quantitative role at a tech company (startup experience strongly preferred)\nStrong statistical foundations: hypothesis testing, confidence intervals, Bayesian reasoning, power analysis, regression. Not textbook knowledge -- practical application.\nDemonstrated ability to design and analyze A/B tests and other controlled experiments\nSharp product intuition -- you think about why users behave a certain way, not just how\nExcellent written and verbal communication\nNice-to-haves:\nFluent in SQL. You'll be writing HogQL (ClickHouse-flavored SQL) against PostHog, so comfort with analytical SQL dialects is important.\nPython proficiency (pandas, scipy, statsmodels) for ad hoc analysis beyond what a BI tool can do\nExperience with PostHog or similar product analytics platforms (Amplitude, Mixpanel)\nExperience at an early-stage startup where you had to build analytics from scratch\nWhat we don't need:\nML/data science specialization (we're not building recommender systems)\nData engineering / pipeline skills (this isn't a dbt or Airflow role)\nA Master's degree (we care about what you can do, not your credentials)\nInterview Process\nWe keep it practical and respectful of your time:\n Intro call (30 min) -- get to know each other, talk through your experience\n Stats & analysis discussion ( ~1.5 hrs) -- assess your product analytics skills and stats fluency\n Culture & product chat with CEO (30 min) -- alignment on mission, working style, product thinking\nDetails\n Location: Remote (some overlap with US PST hours expected)\nCompensation: commensurate with experience. Equity included.\n Team: You'll be joining a small, high-caliber team across the world. Direct line to founders and engineering leadership.We love to hear when birds chirp!","description_format":"text","description_chars":3998,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Cybersecurity","AI Agents"],"lifecycle":[{"event":"open","at":"2026-09-25T23:09:55Z"}],"visa":[],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":1,"p_active":0.134,"p_room":0.28,"age_days":215,"expected_fill_days":7,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/littlebird-product-analyst","json_url":"https://alion.io/job/littlebird-product-analyst.json","meta":{"generated_at":"2026-10-05T03:36:53Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4898,"day_limit":5000,"remaining_today":102,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}