{ "name": "Snowflake Forward Deployed Engineer postings, FDE Dispatch snapshot November 3, 2026", "publisher": "FDE Dispatch", "url": "https://fdedispatch.com/snowflake-forward-deployed-engineer/", "snapshot_date": "2026-11-03", "population": "Snowflake rows with in_page_stats = true in fde-postings-2026-11-03.json (the same 704-posting / 114-employer population counted on the November 3 postings snapshot). All 9 come from Snowflake's public Ashby board. 7 are engineer-family titles (Frontier Engineering, Migration, Applied AI / Staff Applied AI Engineer (FDE)), 1 is AI Deployment Strategist, and 1 is Software Engineering Manager, AI Migrations (Forward Deployed). Snowflake ties Chalk, Cloudflare and Saronic at 9 postings (12th by posting count; 11 employers have more). Staff Product Manager - AI FDE is adjacent non-engineering and not counted.", "affiliation_note": "FDE Dispatch is not affiliated with Snowflake. Figures come from Snowflake public job postings on the snapshot date, with posting texts re-checked on November 5, 2026 (America/Los_Angeles).", "snapshot_comparison": { "is_remote": 176, "is_remote_pct": 25.0, "is_remote_method": "aeo/fde-tracker/locations.py is_remote: board marks posting remote (Greenhouse flags excluded) or a listed location contains Remote; Coinbase Remote Zone excluded.", "postings_with_pay_range": 363, "travel_mentioned": 424, "in_page_postings": 704 }, "totals": { "snowflake_postings": 9, "fde_family_postings": 704, "fde_family_employers": 114, "snowflake_share_pct": 1.3, "rank_by_postings": 12, "employers_with_more_postings": 11, "tied_at_rank_with": [ "Chalk", "Cloudflare", "Saronic" ], "employers_with_more": [ { "company": "Databricks", "postings": 115 }, { "company": "Palantir", "postings": 105 }, { "company": "Salesforce", "postings": 51 }, { "company": "Accenture", "postings": 39 }, { "company": "OpenAI", "postings": 33 }, { "company": "LangChain", "postings": 16 }, { "company": "Cognition", "postings": 15 }, { "company": "Cohere", "postings": 13 }, { "company": "ElevenLabs", "postings": 12 }, { "company": "Cursor", "postings": 11 }, { "company": "Scale AI", "postings": 11 } ], "role_families": { "deployment_strategist": 1, "engineer": 7, "management": 1 } }, "title_wording": { "tracks": [ { "track": "Frontier Engineering", "postings": 3 }, { "track": "Applied AI", "postings": 2 }, { "track": "Migration", "postings": 2 }, { "track": "AI Deployment Strategist", "postings": 1 }, { "track": "Software Engineering Manager, AI Migrations", "postings": 1 } ], "titles_by_track": { "AI Deployment Strategist": [ "AI Deployment Strategist / JP-Tokyo" ], "Applied AI": [ "Forward Deployed Engineer, Applied AI / PL-Warsaw-Lixa C", "Staff Applied AI Engineer (FDE) / US-CA-Menlo Park" ], "Frontier Engineering": [ "Forward Deployed Engineer, Frontier Engineering / NZ-New Zealand-Remote", "Principal Forward Deployed Engineer I, Frontier Engineering / US-CA-Menlo Park", "Senior Principal Forward Deployed Engineer, Frontier Engineering / US-CA-Menlo Park" ], "Migration": [ "Lead Forward Deployed Engineer - Migration / NL-Netherlands-Remote", "Lead Forward Deployed Engineer – Migration / AU-Melbourne" ], "Software Engineering Manager, AI Migrations": [ "Software Engineering Manager, AI Migrations (Forward Deployed) / US-CA-Menlo Park" ] }, "titles": [ "AI Deployment Strategist / JP-Tokyo", "Forward Deployed Engineer, Applied AI / PL-Warsaw-Lixa C", "Forward Deployed Engineer, Frontier Engineering / NZ-New Zealand-Remote", "Lead Forward Deployed Engineer - Migration / NL-Netherlands-Remote", "Lead Forward Deployed Engineer – Migration / AU-Melbourne", "Principal Forward Deployed Engineer I, Frontier Engineering / US-CA-Menlo Park", "Senior Principal Forward Deployed Engineer, Frontier Engineering / US-CA-Menlo Park", "Software Engineering Manager, AI Migrations (Forward Deployed) / US-CA-Menlo Park", "Staff Applied AI Engineer (FDE) / US-CA-Menlo Park" ] }, "location": { "us_located": 4, "outside_us": 4, "mixed_us": 1, "us_located_pct": 44.4, "outside_us_pct": 44.4, "us_rows": [ { "title": "Principal Forward Deployed Engineer I, Frontier Engineering", "location": "US-CA-Menlo Park", "all_locations": "US-CA-Menlo Park" }, { "title": "Senior Principal Forward Deployed Engineer, Frontier Engineering", "location": "US-CA-Menlo Park", "all_locations": "US-CA-Menlo Park" }, { "title": "Software Engineering Manager, AI Migrations (Forward Deployed)", "location": "US-CA-Menlo Park", "all_locations": "US-CA-Menlo Park" }, { "title": "Staff Applied AI Engineer (FDE)", "location": "US-CA-Menlo Park", "all_locations": "US-CA-Menlo Park; US-WA-Bellevue" } ], "outside_us_rows": [ { "title": "AI Deployment Strategist", "location": "JP-Tokyo", "all_locations": "JP-Tokyo" }, { "title": "Forward Deployed Engineer, Applied AI", "location": "PL-Warsaw-Lixa C", "all_locations": "PL-Warsaw-Lixa C" }, { "title": "Forward Deployed Engineer, Frontier Engineering", "location": "NZ-New Zealand-Remote", "all_locations": "NZ-New Zealand-Remote" }, { "title": "Lead Forward Deployed Engineer – Migration", "location": "AU-Melbourne", "all_locations": "AU-Melbourne; Sydney, Australia" } ], "mixed_rows": [ { "title": "Lead Forward Deployed Engineer - Migration", "location": "NL-Netherlands-Remote", "all_locations": "NL-Netherlands-Remote; DE-Germany-Remote" } ], "is_remote": 2, "not_remote": 7, "is_remote_pct": 22.2, "workplace_type": { "null": 2, "OnSite": 1, "Remote": 2, "Hybrid": 4 }, "is_remote_rows": [ "Forward Deployed Engineer, Frontier Engineering / NZ-New Zealand-Remote", "Lead Forward Deployed Engineer - Migration / NL-Netherlands-Remote" ], "is_remote_method": "aeo/fde-tracker/locations.py is_remote: board marks posting remote (Greenhouse flags excluded) or a listed location contains Remote; Coinbase Remote Zone excluded. Two of nine: Frontier Engineering New Zealand Remote and Migration Lead Netherlands/Germany Remote." }, "travel": { "mentioned": 6, "pct_stated": 6, "labels": { "25%": 4, "20%": 2 }, "note": "Six of nine snapshot rows have travel_mentioned true with travel_pct_stated 20% or 25%. Staff Applied AI, Principal Frontier, Senior Principal Frontier and Frontier NZ state at least 25% onsite. Migration Lead NL and AU state up to 20%. Strategist Tokyo and Manager AI Migrations have travel_mentioned false." }, "posted_pay": { "note": "Four of nine snapshot rows list an Ashby Salary annual USD range (ats_pay_field on November 3). The other five have null compensation. November 5 board listing payloads had empty compensation objects; ranges below are the November 3 snapshot values. Never call these OTE.", "postings_with_pay": 4, "ranges_as_posted": [ { "title": "Staff Applied AI Engineer (FDE)", "location": "US-CA-Menlo Park", "pay_min": 200000, "pay_max": 270000, "pay_currency": "USD", "pay_as_posted": "$200,000 to $270,000", "midpoint": 235000.0 }, { "title": "Software Engineering Manager, AI Migrations (Forward Deployed)", "location": "US-CA-Menlo Park", "pay_min": 236000, "pay_max": 339200, "pay_currency": "USD", "pay_as_posted": "$236,000 to $339,200", "midpoint": 287600.0 }, { "title": "Principal Forward Deployed Engineer I, Frontier Engineering", "location": "US-CA-Menlo Park", "pay_min": 264000, "pay_max": 379500, "pay_currency": "USD", "pay_as_posted": "$264,000 to $379,500", "midpoint": 321750.0 }, { "title": "Senior Principal Forward Deployed Engineer, Frontier Engineering", "location": "US-CA-Menlo Park", "pay_min": 304000, "pay_max": 437000, "pay_currency": "USD", "pay_as_posted": "$304,000 to $437,000", "midpoint": 370500.0 } ], "rows_without_pay": [ "AI Deployment Strategist / JP-Tokyo", "Forward Deployed Engineer, Applied AI / PL-Warsaw-Lixa C", "Forward Deployed Engineer, Frontier Engineering / NZ-New Zealand-Remote", "Lead Forward Deployed Engineer - Migration / NL-Netherlands-Remote", "Lead Forward Deployed Engineer – Migration / AU-Melbourne" ], "senior_principal_midpoint": 370500.0, "us_engineer_title_median_midpoint_oct24": 216104 }, "equity": { "equity_mentioned_flag_true": 0, "note": "equity_mentioned is false on every Snowflake in-page snapshot row. None of the 9 November 5 texts state a sponsorship stance or an equity grant." }, "requirements_from_texts": { "source": "Hand-verified against posting texts re-fetched November 5, 2026 (America/Los_Angeles) from api.ashbyhq.com/posting-api/job-board/snowflake.", "years": { "staff_applied_ai": "7+", "applied_ai_warsaw": "3+", "frontier_nz": "3+", "principal_frontier": "15+ (including at least 3 years AI/ML or agentic)", "senior_principal_frontier": "15+ (sustained AI/ML or agentic track record)", "migration_leads": "no years number in the REQUIREMENTS block", "manager_ai_migrations": "7+ technical customer-facing; 5+ people management; 3+ enterprise software", "strategist_tokyo": "no years number in WHAT YOU WILL DO / WHAT YOU BRING" }, "engineer_texts_mentioning_eval_or_evaluation_framework": 5, "engineer_texts_total": 7, "shared_quotes": { "staff_years": "7+ years of professional software engineering experience.", "years_3_nz": "3+ years of professional software engineering experience.", "years_3_warsaw": "3+ years of professional software engineering experience,", "principal_years": "15+ years of software engineering experience, including at least 3 years building and shipping production AI/ML or agentic systems at enterprise scale.", "senior_principal_years": "15+ years of software engineering experience, including a sustained track record of building and shipping production AI/ML or agentic systems at enterprise scale.", "python_sql": "using Python and SQL", "pandas_numpy_snowpark": "Familiarity with core data science libraries and tools (e.g., pandas, numpy, Snowpark).", "rag_agentic": "especially with technologies like RAG and agentic workflows", "staff_eval": "Hands-on experience defining quality metrics and evaluation frameworks for LLM or agent systems, and using evals to systematically improve quality over time.", "nz_eval": "Hands-on experience defining quality metrics and running evaluations for LLM or agent systems, and using evals to systematically improve quality.", "travel_25_staff_nz": "Spend at least 25% of your time onsite, working closely with Snowflake's most strategic customers.", "travel_25_principal": "Spend at least 25% of your time onsite working with customers.", "migration_langs": "Python, Go, Java or C++", "nl_travel": "travel up to 20% of the time", "au_travel": "up to 20% travel", "nl_degree": "Bachelor's degree in Computer Science, Information Systems, or a related field.", "au_degree": "Bachelor's degree in Computer Science, Information Systems or a related field, or equivalent practical experience", "warsaw_degree": "Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.", "nz_degree": "Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.", "manager_years_7": "7+ years of experience in technical roles involving customer-facing delivery, engineering", "manager_years_5": "5+ years of people management experience — mentoring, coaching, and developing technical teams", "manager_years_3": "3+ years of experience building and delivering enterprise software products, particularly involving AI/ML or developer tools", "manager_degree": "University degree in computer science, engineering, mathematics, or related fields (or equivalent experience)", "manager_sql": "Extensive hands-on expertise with SQL, SQL analytics, and scripting (Python, Perl, Bash)", "manager_legacy": "hands-on experience with large-scale systems (Oracle, Teradata, Netezza, SQL Server, Greenplum, Hadoop)", "principal_own_quality": "Own the AI quality bar: Lead how the team measures and improves AI quality, turning ambiguous customer goals into clear, testable evaluation standards.", "senior_set_quality": "Set the AI quality and reliability bar: Define organization-level standards for evaluation, observability, reliability, security, guardrails, and responsible deployment.", "principal_rag": "Deep expertise in production AI architectures—including RAG pipelines, multi-step agentic systems, evaluation frameworks, and guardrails.", "senior_rag": "Deep expertise in production AI architectures—including RAG pipelines, multi-step agentic systems, evaluation frameworks, guardrails, observability, security, and operating models for enterprise-scale adoption.", "cortex_snowpark": "Familiarity with Cortex AI, Snowpark, or modern enterprise data infrastructure platforms." }, "departments_ashby": { "Professional Services": 4, "Engineering": 5 } }, "per_posting": [ { "title": "AI Deployment Strategist", "live_title": "AI Deployment Strategist", "location": "JP-Tokyo", "all_locations": "JP-Tokyo", "role_family": "deployment_strategist", "track": "AI Deployment Strategist", "department_ashby": "Professional Services", "years_stated": null, "years_quote": null, "degree_quote": null, "travel_quote": null, "pay_as_posted": null, "pay_min": null, "pay_max": null, "pay_currency": null, "travel_pct_stated": null, "travel_mentioned": false, "quotes": [ "Serve as the filter for opportunities originated by Snowflake's field AE organization. Evaluate each for FDE fit across technical complexity, deployment readiness, and commercial viability." ], "eval_or_evaluation_framework": false, "url": "https://jobs.ashbyhq.com/snowflake/e285a14e-4c03-4899-b180-f69276b5a8c9", "job_url": "https://jobs.ashbyhq.com/snowflake/e285a14e-4c03-4899-b180-f69276b5a8c9", "us_location": false, "ats": "ashby", "remote": null, "is_remote": false, "workplace_type": null, "equity_mentioned_flag": false, "live_status_2026_11_05": "live" }, { "title": "Forward Deployed Engineer, Applied AI", "live_title": "Forward Deployed Engineer, Applied AI", "location": "PL-Warsaw-Lixa C", "all_locations": "PL-Warsaw-Lixa C", "role_family": "engineer", "track": "Applied AI", "department_ashby": "Engineering", "years_stated": "3+", "years_quote": "3+ years of professional software engineering experience,", "degree_quote": "Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.", "travel_quote": null, "pay_as_posted": null, "pay_min": null, "pay_max": null, "pay_currency": null, "travel_pct_stated": null, "travel_mentioned": false, "quotes": [ "3+ years of professional software engineering experience,", "Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.", "using Python and SQL", "contribute to evaluation frameworks and observability infrastructure", "especially with technologies like RAG and agentic workflows" ], "eval_or_evaluation_framework": true, "url": "https://jobs.ashbyhq.com/snowflake/467250b0-43bc-47aa-91d5-6312687e4097", "job_url": "https://jobs.ashbyhq.com/snowflake/467250b0-43bc-47aa-91d5-6312687e4097", "us_location": false, "ats": "ashby", "remote": false, "is_remote": false, "workplace_type": "OnSite", "equity_mentioned_flag": false, "live_status_2026_11_05": "live" }, { "title": "Forward Deployed Engineer, Frontier Engineering", "live_title": "Forward Deployed Engineer, Frontier Engineering", "location": "NZ-New Zealand-Remote", "all_locations": "NZ-New Zealand-Remote", "role_family": "engineer", "track": "Frontier Engineering", "department_ashby": "Professional Services", "years_stated": "3+", "years_quote": "3+ years of professional software engineering experience.", "degree_quote": "Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.", "travel_quote": "Spend at least 25% of your time onsite, working closely with Snowflake's most strategic customers.", "pay_as_posted": null, "pay_min": null, "pay_max": null, "pay_currency": null, "travel_pct_stated": "25%", "travel_mentioned": true, "quotes": [ "3+ years of professional software engineering experience.", "Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.", "using Python and SQL", "Hands-on experience defining quality metrics and running evaluations for LLM or agent systems, and using evals to systematically improve quality.", "Spend at least 25% of your time onsite, working closely with Snowflake's most strategic customers.", "Familiarity with core data science libraries and tools (e.g., pandas, numpy, Snowpark)." ], "eval_or_evaluation_framework": true, "url": "https://jobs.ashbyhq.com/snowflake/e054c37d-8940-4cf6-b166-d5741991ad12", "job_url": "https://jobs.ashbyhq.com/snowflake/e054c37d-8940-4cf6-b166-d5741991ad12", "us_location": false, "ats": "ashby", "remote": true, "is_remote": true, "workplace_type": "Remote", "equity_mentioned_flag": false, "live_status_2026_11_05": "live" }, { "title": "Lead Forward Deployed Engineer - Migration", "live_title": "Lead Forward Deployed Engineer - Migration", "location": "NL-Netherlands-Remote", "all_locations": "NL-Netherlands-Remote; DE-Germany-Remote", "role_family": "engineer", "track": "Migration", "department_ashby": "Professional Services", "years_stated": null, "years_quote": null, "degree_quote": "Bachelor's degree in Computer Science, Information Systems, or a related field.", "travel_quote": "the role may involve travel up to 20% of the time to collaborate with teams and stakeholders.", "pay_as_posted": null, "pay_min": null, "pay_max": null, "pay_currency": null, "travel_pct_stated": "20%", "travel_mentioned": true, "quotes": [ "Bachelor's degree in Computer Science, Information Systems, or a related field.", "Proficiency in programming and scripting languages such as Python, Go, Java or C++.", "the role may involve travel up to 20% of the time to collaborate with teams and stakeholders." ], "eval_or_evaluation_framework": false, "url": "https://jobs.ashbyhq.com/snowflake/0f2d263b-37c1-4e5c-92b7-007818fbc0d5", "job_url": "https://jobs.ashbyhq.com/snowflake/0f2d263b-37c1-4e5c-92b7-007818fbc0d5", "us_location": "mixed", "ats": "ashby", "remote": true, "is_remote": true, "workplace_type": "Remote", "equity_mentioned_flag": false, "live_status_2026_11_05": "live" }, { "title": "Lead Forward Deployed Engineer – Migration", "live_title": "Lead Forward Deployed Engineer – Migration", "location": "AU-Melbourne", "all_locations": "AU-Melbourne; Sydney, Australia", "role_family": "engineer", "track": "Migration", "department_ashby": "Professional Services", "years_stated": null, "years_quote": null, "degree_quote": "Bachelor's degree in Computer Science, Information Systems or a related field, or equivalent practical experience", "travel_quote": "Travel: This role may involve up to 20% travel to collaborate with customers, teams and stakeholders.", "pay_as_posted": null, "pay_min": null, "pay_max": null, "pay_currency": null, "travel_pct_stated": "20%", "travel_mentioned": true, "quotes": [ "Bachelor's degree in Computer Science, Information Systems or a related field, or equivalent practical experience", "Proficiency in one or more programming languages, such as Python, Go, Java or C++", "Travel: This role may involve up to 20% travel to collaborate with customers, teams and stakeholders." ], "eval_or_evaluation_framework": false, "url": "https://jobs.ashbyhq.com/snowflake/527f30a7-edf5-43f4-b573-7df77987e5d8", "job_url": "https://jobs.ashbyhq.com/snowflake/527f30a7-edf5-43f4-b573-7df77987e5d8", "us_location": false, "ats": "ashby", "remote": false, "is_remote": false, "workplace_type": "Hybrid", "equity_mentioned_flag": false, "live_status_2026_11_05": "live" }, { "title": "Principal Forward Deployed Engineer I, Frontier Engineering", "live_title": "Principal Forward Deployed Engineer I, Frontier Engineering", "location": "US-CA-Menlo Park", "all_locations": "US-CA-Menlo Park", "role_family": "engineer", "track": "Frontier Engineering", "department_ashby": "Engineering", "years_stated": "15+", "years_quote": "15+ years of software engineering experience, including at least 3 years building and shipping production AI/ML or agentic systems at enterprise scale.", "degree_quote": null, "travel_quote": "Spend at least 25% of your time onsite working with customers.", "pay_as_posted": "$264,000 to $379,500", "pay_min": 264000, "pay_max": 379500, "pay_currency": "USD", "travel_pct_stated": "25%", "travel_mentioned": true, "quotes": [ "15+ years of software engineering experience, including at least 3 years building and shipping production AI/ML or agentic systems at enterprise scale.", "Own the AI quality bar: Lead how the team measures and improves AI quality, turning ambiguous customer goals into clear, testable evaluation standards.", "Deep expertise in production AI architectures—including RAG pipelines, multi-step agentic systems, evaluation frameworks, and guardrails.", "Familiarity with Cortex AI, Snowpark, or modern enterprise data infrastructure platforms.", "Spend at least 25% of your time onsite working with customers." ], "eval_or_evaluation_framework": true, "url": "https://jobs.ashbyhq.com/snowflake/2c4475a5-c88a-48fc-878a-8b324679745a", "job_url": "https://jobs.ashbyhq.com/snowflake/2c4475a5-c88a-48fc-878a-8b324679745a", "us_location": true, "ats": "ashby", "remote": false, "is_remote": false, "workplace_type": "Hybrid", "equity_mentioned_flag": false, "live_status_2026_11_05": "live" }, { "title": "Senior Principal Forward Deployed Engineer, Frontier Engineering", "live_title": "Senior Principal Forward Deployed Engineer, Frontier Engineering", "location": "US-CA-Menlo Park", "all_locations": "US-CA-Menlo Park", "role_family": "engineer", "track": "Frontier Engineering", "department_ashby": "Engineering", "years_stated": "15+", "years_quote": "15+ years of software engineering experience, including a sustained track record of building and shipping production AI/ML or agentic systems at enterprise scale.", "degree_quote": null, "travel_quote": "Spend at least 25% of your time onsite working with customers.", "pay_as_posted": "$304,000 to $437,000", "pay_min": 304000, "pay_max": 437000, "pay_currency": "USD", "travel_pct_stated": "25%", "travel_mentioned": true, "quotes": [ "15+ years of software engineering experience, including a sustained track record of building and shipping production AI/ML or agentic systems at enterprise scale.", "Set the AI quality and reliability bar: Define organization-level standards for evaluation, observability, reliability, security, guardrails, and responsible deployment.", "Deep expertise in production AI architectures—including RAG pipelines, multi-step agentic systems, evaluation frameworks, guardrails, observability, security, and operating models for enterprise-scale adoption.", "Familiarity with Cortex AI, Snowpark, or modern enterprise data infrastructure platforms.", "Spend at least 25% of your time onsite working with customers." ], "eval_or_evaluation_framework": true, "url": "https://jobs.ashbyhq.com/snowflake/320f140f-bd7b-4df6-a2a8-f561bf83f7bf", "job_url": "https://jobs.ashbyhq.com/snowflake/320f140f-bd7b-4df6-a2a8-f561bf83f7bf", "us_location": true, "ats": "ashby", "remote": false, "is_remote": false, "workplace_type": "Hybrid", "equity_mentioned_flag": false, "live_status_2026_11_05": "live" }, { "title": "Software Engineering Manager, AI Migrations (Forward Deployed)", "live_title": "Software Engineering Manager, AI Migrations (Forward Deployed)", "location": "US-CA-Menlo Park", "all_locations": "US-CA-Menlo Park", "role_family": "management", "track": "Software Engineering Manager, AI Migrations", "department_ashby": "Engineering", "years_stated": "7+", "years_quote": "7+ years of experience in technical roles involving customer-facing delivery, engineering", "degree_quote": "University degree in computer science, engineering, mathematics, or related fields (or equivalent experience)", "travel_quote": null, "pay_as_posted": "$236,000 to $339,200", "pay_min": 236000, "pay_max": 339200, "pay_currency": "USD", "travel_pct_stated": null, "travel_mentioned": false, "quotes": [ "7+ years of experience in technical roles involving customer-facing delivery, engineering", "5+ years of people management experience — mentoring, coaching, and developing technical teams", "3+ years of experience building and delivering enterprise software products, particularly involving AI/ML or developer tools", "University degree in computer science, engineering, mathematics, or related fields (or equivalent experience)", "Extensive hands-on expertise with SQL, SQL analytics, and scripting (Python, Perl, Bash)", "hands-on experience with large-scale systems (Oracle, Teradata, Netezza, SQL Server, Greenplum, Hadoop)" ], "eval_or_evaluation_framework": false, "url": "https://jobs.ashbyhq.com/snowflake/acbe3667-1be2-4880-9d5b-969eb6127b7c", "job_url": "https://jobs.ashbyhq.com/snowflake/acbe3667-1be2-4880-9d5b-969eb6127b7c", "us_location": true, "ats": "ashby", "remote": null, "is_remote": false, "workplace_type": null, "equity_mentioned_flag": false, "live_status_2026_11_05": "live" }, { "title": "Staff Applied AI Engineer (FDE)", "live_title": "Staff Applied AI Engineer (FDE)", "location": "US-CA-Menlo Park", "all_locations": "US-CA-Menlo Park; US-WA-Bellevue", "role_family": "engineer", "track": "Applied AI", "department_ashby": "Engineering", "years_stated": "7+", "years_quote": "7+ years of professional software engineering experience.", "degree_quote": null, "travel_quote": "Spend at least 25% of your time onsite, working closely with Snowflake's most strategic customers.", "pay_as_posted": "$200,000 to $270,000", "pay_min": 200000, "pay_max": 270000, "pay_currency": "USD", "travel_pct_stated": "25%", "travel_mentioned": true, "quotes": [ "7+ years of professional software engineering experience.", "Hands-on experience defining quality metrics and evaluation frameworks for LLM or agent systems, and using evals to systematically improve quality over time.", "Familiarity with core data science libraries and tools (e.g., pandas, numpy, Snowpark).", "Spend at least 25% of your time onsite, working closely with Snowflake's most strategic customers.", "especially with technologies like RAG and agentic workflows" ], "eval_or_evaluation_framework": true, "url": "https://jobs.ashbyhq.com/snowflake/12455179-f3ff-4739-b8c0-c21f3c116b87", "job_url": "https://jobs.ashbyhq.com/snowflake/12455179-f3ff-4739-b8c0-c21f3c116b87", "us_location": true, "ats": "ashby", "remote": false, "is_remote": false, "workplace_type": "Hybrid", "equity_mentioned_flag": false, "live_status_2026_11_05": "live" } ], "adjacent_not_counted": [ { "title": "Staff Product Manager - AI FDE", "location": "GB-London", "role_family": "adjacent_non_engineering", "url": "https://jobs.ashbyhq.com/snowflake/775f7c0e-f4ca-4334-a3c5-100811daf192", "live_status_2026_11_05": "live", "department_ashby": "Product Management", "note": "Staff Product Manager - AI FDE is adjacent_non_engineering and in_page_stats = false. Mentioned only in Method; not counted in totals." } ], "live_check_2026_11_05": { "date": "2026-11-05", "timezone": "America/Los_Angeles", "note": "Every Snowflake FDE-family posting text was re-fetched on November 5, 2026 (America/Los_Angeles) from the public Ashby job board API. All 9 November 3 in-page snapshot rows were still listed. Staff Product Manager - AI FDE was still listed and remains outside the title rule (adjacent_non_engineering, not counted). No additional FDE-family posting opened after November 3 beyond those 9 plus the Product Manager seat. Evidence links use jobs.ashbyhq.com/snowflake/ (all returned HTTP 200 on November 5). Ashby compensation objects on the November 5 board listing payloads were empty; posted USD salary ranges on this page come from the November 3 snapshot ats_pay_field values.", "snapshot_rows_still_live": 9, "adjacent_still_live": 1, "snapshot_rows_closed": 0, "post_snapshot_postings": [], "not_in_totals": true }, "method": { "source_files": [ "fde-postings-2026-11-03.json", "scripts/snowflake-evidence-2026-11-05.json" ], "filter": "company == Snowflake and in_page_stats == true", "script": "scripts/build-snowflake-aggregate.py", "remote": "aeo/fde-tracker/locations.py is_remote: board marks posting remote (Greenhouse flags excluded) or a listed location contains Remote; Coinbase Remote Zone excluded", "tracks": "title text: Frontier Engineering (3); Migration (2); Applied AI (2); AI Deployment Strategist (1); Software Engineering Manager, AI Migrations (1)", "pay": "Ashby Salary annual USD from November 3 snapshot ats_pay_field on 4 of 9 rows; no conversion; never OTE", "rank": "1 + count of employers with strictly more in_page_stats postings (ties share the rank)", "live_check": "November 5, 2026 America/Los_Angeles against Ashby posting API", "caveat": "Counts are open postings on one day and do not measure headcount. Nine postings are too few for employer-level rates. Quotes on the page are whole words copied from the posting texts. Remote uses locations.py is_remote (board marks posting remote (Greenhouse flags excluded) or a listed location contains Remote; Coinbase Remote Zone excluded), against 176 of 704 (25.0%) across the snapshot." }, "posted_or_updated": { "snapshot_pulled": "2026-11-03", "texts_refetched": "2026-11-05", "guide_published": "2026-11-05" } }