{"id":139981,"url":"https://alion.io/job/reflection-ai-member-of-technical-staff-engineering-lead-data-platform","title":"Member of Technical Staff - Engineering Lead, Data Platform","company":{"id":48184,"name":"Reflection AI","domain":"reflection.ai","url":"https://alion.io/company/reflection-ai","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":45,"ghost_share":0.067,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":107,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","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","London, United Kingdom","New York, United States"],"countries":["US","GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":171000,"max_usd":342000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1231},"experience_years_min":8,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Dagster","optional":false},{"name":"Delta Lake","optional":false},{"name":"Flink","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Great Expectations","optional":false},{"name":"Snowflake","optional":false}],"status":"live","first_seen_at":"2026-08-27T07:54:51Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-11-03T01:34:38Z","board_verified":true,"closed_at":null,"days_open":67,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":67},"description":"Our Mission\nReflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.\nAbout the role\nReflection is building the trusted data backbone for the world's most capable open-weight AI systems. The Data Platform team builds and operates the core data systems and pipelines that power our research, training, and production environments unifying ingestion, processing, and orchestration across the entire data lifecycle so every team can move faster.\nWe're looking for a front-line technical leader to build, mentor, and grow this team. You'll guide its technical direction while staying hands-on this is a role for someone who has earned deep technical credibility as an engineer and now multiplies it through a team. You'll work closely with our research team to understand what high-velocity experimentation actually needs, and turn that into reliable, reproducible, scalable data infrastructure.\nWhat you'll do\nBuild, mentor, and grow a team of ~10 exceptional data platform engineers hiring, coaching, and raising the bar with every person you add.\n\nGuide the technical direction across the platform: ingestion and orchestration patterns for batch and streaming workloads, scalable compute and storage foundations, and reproducible pipelines with versioning, backfills, and isolated execution environments.\n\nWork closely with research, training, and production teams to enable high-velocity experimentation on a unified data layer.\n\nEstablish trusted data quality, lineage, and governance signals so teams can make confident production decisions.\n\nKeep cost and performance predictable through guardrails, budgets, and continuous system tuning.\n\nStay hands-on: design reviews, architecture decisions, and code where it matters most.\n\nWhat you'll work with\nCompute & orchestration: Spark, Flink, Beam, Airflow, Dagster, Kafka, PubSub\n\nStorage & analytics: data lake and warehouse architectures, Parquet, Iceberg, Delta Lake, BigQuery, Snowflake\n\nMetadata & data quality: lineage systems, metadata management, Great Expectations, reproducibility systems\n\nCost & performance: partitioning strategies, clustering, cost optimization, SLA-driven pipelines\n\nAbout you\n8+ years of engineering experience with a strong data engineering foundation - you've shipped and owned production-grade pipelines at large scale (tens of TBs to PBs daily).\n\nA track record as a staff/principal-level individual contributor before moving into leadership - you earn the technical trust of a strong team.\n\nYou've managed and grown a team (~5-10), or clearly demonstrated the leadership readiness to build one quickly - while staying technically embedded.\n\nDeep in at least one of: ingestion & orchestration at scale, storage and processing engines (lakehouse formats, query engines), or data quality/lineage/reproducibility systems - with working breadth across the others.\n\nFluent in the modern data stack; you've built new systems from zero rather than maintained legacy ones.\n\nThrive in a high-agency, fast-paced environment; bias toward action and impact.\n\nCollaborative, clear communicator, comfortable working across research and infrastructure boundaries.\n\nWhat We Offer:\nWe believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.\nWe want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.\nTop-tier compensation: Salary and equity structured to recognize and retain our talent globally.\n\nStock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.\n\nHealth & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.\n\nMeals: Lunch and dinner are provided in the office daily.\n\nLife & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.\n\nVacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.\n\nSponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.\n\nTeam building: We have regular off-sites, happy hours, and team celebrations.\n\nExport Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.\nCandidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice","description_format":"text","description_chars":5184,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Parental leave","Stock options"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Foundation Models","AI Research Labs"],"lifecycle":[{"event":"open","at":"2026-08-27T07:54:51Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 35","filings_12m":35,"filings_prev_12m":4,"green_card_filings_12m":0,"median_offered_wage_usd":188214,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":21}],"liveness":{"score":62,"band":"ok","label":"Likely open","p_open":1,"p_active":0.861,"p_room":0.72,"age_days":66,"expected_fill_days":107,"reasons":["conf:3","velocity","win:mid","crowd:"],"computed_at":"2026-11-02T06:13:15Z"},"pay":null,"html_url":"https://alion.io/job/reflection-ai-member-of-technical-staff-engineering-lead-data-platform","json_url":"https://alion.io/job/reflection-ai-member-of-technical-staff-engineering-lead-data-platform.json","meta":{"generated_at":"2026-11-03T05:09:03Z","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":7015,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"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":48184},"rest":"https://alion.io/mcp/rest/get_company?id=48184"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Freflection-ai-member-of-technical-staff-engineering-lead-data-platform"},{"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%2Freflection-ai-member-of-technical-staff-engineering-lead-data-platform"},{"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%2Freflection-ai-member-of-technical-staff-engineering-lead-data-platform"},{"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/reflection-ai-member-of-technical-staff-engineering-lead-data-platform\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Freflection-ai-member-of-technical-staff-engineering-lead-data-platform"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":139981}},{"tool":"search_jobs","arguments":{"company":"reflection.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":139981},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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