From 94913a004a12ffdcce90cad29ccc9f4cc7760bdb Mon Sep 17 00:00:00 2001 From: Dennis Thiessen Date: Sat, 15 Aug 2026 22:32:33 +0200 Subject: [PATCH] chore(pipeline): record Equinor and Microsoft ISE rejections, add Google FDE III Phase 0 Equinor Manager / AI Architect (JR106747): REJECTED 2026-08-14, no interview. 79 days from submission (2026-05-27) to disposition, the longest turnaround recorded. Pre-dates the evidence-first-2026-01 cohort (started 2026-07-27), so it does not free an Adjacent cohort slot. Norway lane now reduced to the open Aker BP application. Microsoft Senior SWE, ISE Zurich (200040836): REJECTED 2026-08-11, no interview, ~39 days. The separate Principal FDE req 200043897 is a different pipeline and remains open. Also carries forward uncommitted work from the 08-07 / 08-11 sessions: - Google FDE III, Cloud GTM (78350205438567110) Phase 0 session file and scraped JD; Adjacent, Evidence Fit 67/100, hard gate PASS. - Scout skip decisions: BIS jr100411 (platform admin, not data eng), two Google reqs gated on a C++ minimum qualification, and the FDE III Generative AI sibling req confirmed taken down. - settings.local.json: allow the job_scout venv python invocation. Every closed application to date has been Channel Weak with no interview. Co-Authored-By: Claude Opus 5 --- .claude/settings.local.json | 3 +- CLAUDE.md | 5 +- job_scout/state/decisions.json | 51 ++++- .../JD_google_fde3_cloud_gtm.txt | 187 ++++++++++++++++++ .../session_google_fde3_cloud_gtm.md | 145 ++++++++++++++ 5 files changed, 386 insertions(+), 5 deletions(-) create mode 100644 output/Google_FDE3_Cloud_GTM/JD_google_fde3_cloud_gtm.txt create mode 100644 output/Google_FDE3_Cloud_GTM/session_google_fde3_cloud_gtm.md diff --git a/.claude/settings.local.json b/.claude/settings.local.json index 022ed13..011679f 100644 --- a/.claude/settings.local.json +++ b/.claude/settings.local.json @@ -133,7 +133,8 @@ "WebFetch(domain:www.finn.no)", "WebFetch(domain:akerbp.com)", "Bash(git commit *)", - "Bash(grep -io \"bosch[^\\\\\"]\\\\{0,220\\\\}\" resume_builder/canonical/claims.json)" + "Bash(grep -io \"bosch[^\\\\\"]\\\\{0,220\\\\}\" resume_builder/canonical/claims.json)", + "Bash(PYTHONIOENCODING=utf-8 ./.venv/Scripts/python.exe *)" ] } } diff --git a/CLAUDE.md b/CLAUDE.md index 4bcd46e..ac9afea 100644 --- a/CLAUDE.md +++ b/CLAUDE.md @@ -157,13 +157,14 @@ _Update this section when starting/finishing a JD._ | Session | Status | Next Command | |---------|--------|-------------| +| Google — Forward Deployed Engineer III, Google Cloud GTM (French, German), Zürich (req 78350205438567110) | **PHASE 0 DONE 2026-08-11** — Adjacent, **Evidence Fit 67/100**, hard gate PASS (all 5 minimum quals hold; German alone satisfies the "French **or** German" requirement), Channel Weak. Level badge is **Mid**; user explicitly overrode level/comp 2026-08-11 (*"ignore fit, i would gladly accept a mid FAANG offer"*) — do NOT re-raise level. **Caveat:** responsibility #1 (lead developer, production agentic workflows / multi-agent / MCP) is a **Gap** — SW-8 forbids agent-orchestration claims; ADK/LangGraph/CrewAI are `never-used`. GCP also unevidenced (AWS-primary). Consumes the **last Adjacent cohort slot (2/2)**. Sibling req *FDE III, Generative AI* confirmed CLOSED. CL decision YES — its job is pre-empting the overqualification screen that killed Business Home in ~24h | Phase 1 — bullet plan (awaiting user confirmation of role type, format, framing) | | SDU Center for Energy Informatics, Odense DK — PhD, Theme 2 Predictive Maintenance & Asset Management of Smart Energy Networks (job 4159) | **EXPLORATORY 2026-08-02** (deadline 2026-08-20). Real JD scraped via Playwright. Strong genuine fit: thesis = vibration condition monitoring, RBR+ANN hybrid, throughput-vs-sensor-rate finding; Bosch fab sensor data; Swisscom data products as AI foundation. **Hard constraint: DKK 37,075/mo ≈ CHF 56k — far below the 180k bar; user accepts this knowingly as a PhD.** Real blocker is 2 letters of recommendation (13 yrs out of academia). Top-30% doc does NOT apply (numeric grading) — do NOT submit the ECTS-B/top-35% certificate against it. No publications. **Enquiry email to Prof. Bo Nørregaard Jørgensen SENT 2026-08-02** (draft in `output/sdu_phd_energy_informatics/enquiry_email_joergensen.md`); asked two questions — industry-candidate viability, and whether non-academic letters of recommendation are acceptable. | Await reply. Critical path is the 2 LORs, not the documents — chase referees regardless of reply. Build an **academic-style CV** (education-first, not the 2pp industry resume) when the user gives the go-ahead | | Aker BP ASA — Data Product Architect, AI-ready Data Products (FINN 469067315) | **SUBMITTED 2026-07-30** (ahead of the 2026-08-02 deadline; Adjacent, **Evidence Fit 79/100**, Document Quality 93/100, hard gate PASS, Channel Weak; Stavanger/Oslo/Trondheim, English working language, no Norwegian and no clearance required, EEA work rights). 2pp resume + 1pp CL, both validator PASS. Honest practitioner framing: builds governed data products *inside* Swisscom's Data Mesh; role *authors* an enterprise framework — real level stretch, never fabricate authorship. **Atlassian Compass closed the catalogue-tool gap** (74→79). Remaining gaps: framework authorship, no energy domain, AWS vs their Microsoft/Cognite stack, **zero verified metrics**. | Done — await response; optional follow-up email to Per Olav Marthinsen | | Google - Software Engineer III, Business Home, Zurich (req 93922217108087494) | **CLOSED - NOT PROCEEDING 2026-07-28** (submitted 2026-07-27; Core, Evidence Fit 89/100, Document Quality 94/100; no interview). Rapid early-screen disposition; known risks were Mid-level versus current Staff scope, data/platform versus product-SWE positioning, preferred algorithms/accessibility gaps, and a cold channel. | Done - cohort rejection recorded; do not treat this outcome alone as a document-quality failure | | Microsoft — Principal Forward Deployed Engineer, SWE (German Speaking), Zürich (req 200043897) | **SUBMITTED 2026-07-27** (84.2/100 Pass 2; finalized 2-page resume + 1-page cover letter). Strong native-German, Staff progression, production ownership and enterprise-data-readiness case; honest gaps remain in end-to-end LLM delivery, Azure AI and strategic-account FDE experience. | Done — await response | | BIS Basel — Senior Data & Analytics Engineer, AI (jr100429, 3-yr term) | **SENT 2026-07-10** (80.5/100; deadline 2026-07-24; hybrid Basel, English-working intl org). Critique flags LLM-depth probe (integration/config vs. ownership) as the screening risk — prep honest answer before any call | Prep interview brief when screening lands | | NATO JWC Stavanger — Staff Officer, AI Engineer (2030 Digitalisation, G15, 3-yr PLN) | **SENT 2026-07-10** (77.5/100; deadline 2026-08-09; final interviews 2nd half Oct 2026). Borderline screen: Azure-cert "or equivalent", LLM depth, no current clearance; German national + officer service are the legibility assets. Tax-free NOK 93,933/mo + allowances | Await screening; no action until contact | -| Microsoft — Senior SWE, Industry Solutions Engineering (ISE), Zürich (req 200040836) | **SENT 2026-07-03** (85.8/100 Pass 2; 2pp resume + 1pp CL; verbatim Eightfold JD; IC4 base CHF 146.2–245.9k; applied ~7 days after posting). Same-day build→critique→submit. Decisions.json logged as applied | Done — await response | +| Microsoft — Senior SWE, Industry Solutions Engineering (ISE), Zürich (req 200040836) | **CLOSED — REJECTED 2026-08-11** (submitted 2026-07-03, 85.8/100 Pass 2; 2pp resume + 1pp CL; verbatim Eightfold JD; IC4 base CHF 146.2–245.9k; applied ~7 days after posting). No interview, ~39 days to disposition. Cold-channel application; does not implicate document quality on its own. The separate Microsoft **Principal FDE** req 200043897 is a different pipeline and remains open | Done — cohort rejection recorded | | Kraken (Payward) — SRE, AI Agents (remote, CH-eligible) | **CLOSED — REJECTED 2026-06-17** (applied 2026-06-15 ~87.2/100, no interview). Honest gaps (NO Terraform/SRE-title/LangGraph) likely the filter; 4th Kraken req declined/rejected to date | Done | | Google — Senior Data Engineer (Merchant Data Science), Zürich/MV | **CLOSED — NOT PROCEEDING 2026-07-24** (applied 2026-06-15, 85.5/100; passed Google Hiring Assessment 2026-06-20, no interview). Assessment pass remains recorded separately. The official 90-day wait applies only to reapplying for the same job; different Google roles remain eligible, subject to 3 applications per rolling 30 days. | Done — target a different strong-fit Google req | | Snowflake — Sr SWE, Enterprise (Observe by Snowflake), Zürich | **SENT 2026-06-06** (~86/100; 2pp resume + 1pp CL; real Ashby JD; comp CHF 176–253k base; NO C++ gate). Tier 1+2 applied; Vizrt low-latency skipped per user. Best-fit role in the 2026-06 search | Done — await response | @@ -174,7 +175,7 @@ _Update this section when starting/finishing a JD._ | Infineon AI Engineer | **CLOSED — not applied** (no relocation to Germany) | Done | | Apple Data Engineer (ISE, Zurich) | **CLOSED — REJECTED** (no interview) | Done | | Google FDE GenAI (Zurich) | PAUSED — GenAI evidence gap too large; redirecting to data-eng/MLOps roles | Likely abandon | -| Equinor AI Architect (Norway) | **SENT** (~80/100) | Done — await response | +| Equinor — Manager / AI Architect, Agentic systems (Stavanger/Oslo/Rotvoll/Sandsli; req JR106747) | **CLOSED — REJECTED 2026-08-14** (submitted 2026-05-27, ~80/100; posting deadline 05.06.2026). No interview, **79 days** to disposition — the longest turnaround recorded. Cold channel. This was a **Manager** req, not a pure IC architect role, so level/scope stretch compounds the standing Norway constraints (comp below bar, Norwegian A2, no clearance). **Pre-dates the evidence-first-2026-01 cohort (started 2026-07-27) — does not free a cohort slot.** Norway lane now reduced to the open Aker BP application. | Done — cohort-external rejection recorded | | QuantCo Cloud Engineer (Europe/Zürich) | **CLOSED — REJECTED** (applied 2026-06-01 ~82/100, no interview; rejection 2026-06-15) | Done | --- diff --git a/job_scout/state/decisions.json b/job_scout/state/decisions.json index 03dee25..070e1f3 100644 --- a/job_scout/state/decisions.json +++ b/job_scout/state/decisions.json @@ -149,8 +149,8 @@ "https://jobs.careers.microsoft.com/global/en/job/200040836": { "company": "Microsoft", "title": "Senior Software Engineer (ISE, Zürich)", - "decision": "applied", - "note": "TOP CANDIDATE 2026-07-03 run. ISE = MSFT forward-deployed org (ex-CSE): co-engineering with strategic customers. IC4, published base CHF 146.2-245.9k clears bar; German explicitly beneficial; travel up to 25%; AI/LLM reqs are integration-side (RAG, prompt eng, model monitoring) not model-building. Zürich hybrid from Bern. | SENT 2026-07-03 (resume+CL finalized, 85.8/100).", + "decision": "rejected", + "note": "TOP CANDIDATE 2026-07-03 run. ISE = MSFT forward-deployed org (ex-CSE): co-engineering with strategic customers. IC4, published base CHF 146.2-245.9k clears bar; German explicitly beneficial; travel up to 25%; AI/LLM reqs are integration-side (RAG, prompt eng, model monitoring) not model-building. Zürich hybrid from Bern. | SENT 2026-07-03 (resume+CL finalized, 85.8/100). REJECTED 2026-08-11, no interview (~39 days after submission). Separate Microsoft req 200043897 (Principal FDE, German-speaking, Zürich) remains open and is unaffected.", "date": "2026-07-03" }, "https://jobs.ruag.ch/offene-stellen/senior-devops-engineer-c5i/3b3093ab-badc-4e95-8166-0f6ee32c18d0": { @@ -1720,5 +1720,52 @@ "decision": "applied", "note": "Aker BP ASA - Data Product Architect, AI-ready Data Products (FINN 469067315). SUBMITTED 2026-07-30, ahead of 2026-08-02 deadline. Evidence Fit 79/100, Document Quality 93/100, hard gate PASS, channel weak. Stavanger/Oslo/Trondheim, English working language.", "date": "2026-07-31" + }, + "https://www.google.com/about/careers/applications/jobs/results/93922217108087494-software-engineer-iii-business-home?location=Switzerland": { + "company": "Google", + "title": "Software Engineer III, Business Home (Zurich)", + "decision": "rejected", + "note": "Applied 2026-07-27; rejected 2026-07-28 (1 day, early screen, no interview). Req 93922217108087494. Counts against Google 3-per-30-days budget.", + "date": "2026-07-28" + }, + "https://jobs.careers.microsoft.com/global/en/job/200043897": { + "company": "Microsoft", + "title": "Principal Forward Deployed Engineer - Software Engineer - German Speaking (Zurich)", + "decision": "applied", + "note": "Submitted 2026-07-27. Awaiting response. Sibling reqs 200043483/200043484/200043895/200044133 remain undecided.", + "date": "2026-07-27" + }, + "https://equinor.wd3.myworkdayjobs.com/job/Stavanger-Norway/Manager---AI-Architect---Agentic-systems_JR106747": { + "company": "Equinor", + "title": "Manager / AI Architect - Agentic systems (Stavanger/Oslo/Rotvoll/Sandsli)", + "decision": "rejected", + "note": "Applied 2026-05-27 (posting deadline 05.06.2026). Req JR106747. Package: output/Equinor_AI_Manager/ (~80/100), channel weak. REJECTED 2026-08-14, no interview — 79 days to disposition, the longest of any application to date. Pre-dates the evidence-first-2026-01 cohort (started 2026-07-27), so it does not count against cohort slots. Was a Manager req, not a pure IC architect role — level/scope stretch on top of the standing Norway-lane constraints (comp below the 180k bar, Norwegian A2, no clearance). Norway lane now reduced to the open Aker BP application.", + "date": "2026-08-14" + }, + "https://www.bis.org/careers/vacancies/jr100411.htm": { + "company": "BIS (Basel)", + "title": "Senior Platform Engineer (jr100411, 3-yr term)", + "decision": "skip", + "note": "JD read 2026-08-07. Platform ADMIN role, not data engineering: core stack is Cloudera (Hadoop/Kafka/NiFi), Elastic Stack, Dataiku DSS, Ansible/Puppet, AD/Azure AD integration, RHEL admin/backup/DR. No evidence for any of these; certs (Cloudera Admin/Elastic Certified/CKA) highly valued, none held. Classic scout title overscore. Also jr100429 still pending at BIS since 2026-07-10 - do not dilute it. Deadline 27 Aug 2026." + }, + "https://www.google.com/about/careers/applications/jobs/results/73984783499043526-staff-software-engineer-google-cloud-applied-ai-automotive-ai-agent?location=Switzerland": { + "company": "Google", + "title": "Staff Software Engineer, Google Cloud, Applied AI, Automotive AI Agent (Zurich)", + "decision": "skip", + "note": "JD read 2026-08-07. Scored 7 on keyword tokens but responsibilities are server-side infra in C++ and Go; min quals add distributed systems + mobile/embedded SDKs + LLM/NLU. C++ is a known weak point, Go absent, no automotive safety-critical or production LLM delivery evidence. Same failure mode as the dropped Google Zurich Sr SWE Infrastructure req (C++ minimum qual)." + }, + "https://www.google.com/about/careers/applications/jobs/results/118881439759377094-software-engineer-iii-data-engineering-console-agentic-infrastructure?location=Switzerland": { + "company": "", + "title": "", + "decision": "skip", + "note": "JD read 2026-08-11. Topic is the single best keyword match seen to date (data-in-motion observability, telemetry connectors, agentic governance dashboard = SW-7 Swisscom work). SKIP RESTS ON THE C++ MINIMUM QUALIFICATION ALONE - C++ is a known weak point (see feedback_cpp_emphasis) and is the same gate that killed Google Sr SWE Infrastructure (dropped 2026-06-02) and Staff Applied AI Automotive (skipped 2026-08-07). NOTE: the Mid level / 180k-bar objection originally logged here was EXPLICITLY OVERRIDDEN by the user on 2026-08-11 ('ignore fit, I would gladly accept a mid FAANG offer') - do not re-raise level as a reason against Google Mid reqs.", + "date": "2026-08-11" + }, + "https://www.google.com/about/careers/applications/jobs/results/73539991317160646-forward-deployed-engineer-iii-generative-ai-french-german?location=Switzerland": { + "company": "", + "title": "", + "decision": "skip", + "note": "CLOSED - req taken down. Live Playwright scrape 2026-08-11 returns 'Job not found. This job may have been taken down.'; also absent from the current Google Zurich board listing (32 rows). Never applied.", + "date": "2026-08-11" } } \ No newline at end of file diff --git a/output/Google_FDE3_Cloud_GTM/JD_google_fde3_cloud_gtm.txt b/output/Google_FDE3_Cloud_GTM/JD_google_fde3_cloud_gtm.txt new file mode 100644 index 0000000..b0b25de --- /dev/null +++ b/output/Google_FDE3_Cloud_GTM/JD_google_fde3_cloud_gtm.txt @@ -0,0 +1,187 @@ +google.com/about/careers/applications uses cookies to deliver and enhance the quality of its services and to analyze traffic. If you agree, cookies are also used to serve advertising and to personalize the content and advertisements that you see. Learn more + +Agree +No thanks +Careers +Skip navigation links +home +Home +Home +work_outline +Jobs +Jobs +noogler_hat +Students +Students +google +How we work +How we work +handyman +How we hire +How we hire +person_outline +Your career +Your career + +help_outline +Help link +feedback +Send feedback +Sign in +Job Details +arrow_back +Back to jobs search +Jobs Search Results +Software Engineer III, AI/ML Shopping Creator, YouTube + +Zürich, Switzerland + +Software Engineer III, Search Ads, Quality and AI + +Zürich, Switzerland + +Apprenticeship in Application Development, Informatiker:in EFZ Applikationsentwicklung, August 2027 + +Zürich, Switzerland + +Staff Software Engineer, Google Cloud, Applied AI, Automotive AI Agent + +Zürich, Switzerland + +Senior Software Engineer, Infrastructure, Core + +San Jose, CA, USA; New York, NY, USA; +1 more + +Senior Security Engineer, Cloud Red Team, Cloud CISO + +Zürich, Switzerland; New York, NY, USA + +Software Engineer III, Data Engineering Console, Agentic Infrastructure + +Zürich, Switzerland + +Security Engineer, Security Surveillance + +Zürich, Switzerland + +Software Engineer III, Cloud AI Research, Co-Scientist + +Zürich, Switzerland + +Forward Deployed Engineer III, Google Cloud GTM (French, German) + +Zürich, Switzerland + +Senior Software Engineer, Full Stack + +Zürich, Switzerland + +Senior Security Engineer, Exploits, Google Threat Intelligence Group + +Zürich, Switzerland; Switzerland | Remote eligible + +Enterprise Account Executive, Google Cloud, DACH + +Zürich, Switzerland; Munich, Germany + +Software Engineer III, Cloud Security + +Zürich, Switzerland + +Senior Staff Software Engineer, Full Stack + +Zürich, Switzerland; New York, NY, USA + +Technical Operations Compliance Manager, Third Party Data Centers + +Frankfurt, Germany; Zürich, Switzerland; +8 more + +Staff Silicon Architect, DeepMind + +New York, NY, USA; Zürich, Switzerland; +2 more + +Group Product Manager, Group productivity + +Zürich, Switzerland + +Field Sales Account Manager II, Google Cloud + +Zürich, Switzerland + +Staff Software Engineer, Performance and Kernel, DeepMind + +Mountain View, CA, USA; Zürich, Switzerland; +2 more + +Showing 1 to 20 of 32 rows +1‑20 of 32 +navigate_next +Forward Deployed Engineer III, Google Cloud GTM (French, German) +share +corporate_fare +Google +place +Zürich, Switzerland +bar_chart +Mid +Apply +Minimum qualifications: +Bachelor’s degree or equivalent practical experience. + +2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. + +1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). +Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). +Ability to communicate in French or German fluently to support client relationship management in this region. + + +Preferred qualifications: +Master's or PhD degree in AI, Computer Science, or a related technical field. +Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google’s Agent Development Kit (ADK)) and complex patterns like ReAct, self-reflection, and hierarchical delegation. +Knowledge of "Large Language Model (LLM)-native" metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. +Ability to implement secure agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication. +About the job + +Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. + +Leading with the future, the AI GTM team are trusted AI advisors, scaling across Google to deliver transformative customer experiences that shape the next generation of their business. Partnering to provide deep AI expertise, thought leadership, and industry best practices, we revolutionize customer outcomes. + +It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You will leverage Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. + +Responsibilities +Serve as the lead developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable Return on investment (ROI). +Architect and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters. +Build high-performance evaluation (Eval) pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency. +Identify repeatable field patterns and technical "friction points" in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams. +Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption. + +Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy. + +Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. + +If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form. + +Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. + +To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. + +Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right. + +Follow Life at Google on +More about us +About usopen_in_new +Contact usopen_in_new +Pressopen_in_new +Related Information +Investor relationsopen_in_new +Blogopen_in_new +Equal Opportunity + +Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. + +Privacyopen_in_new +Applicant & Candidate Privacyopen_in_new +Termsopen_in_new +Manage cookies +helpHelpopen_in_new +language +English \ No newline at end of file diff --git a/output/Google_FDE3_Cloud_GTM/session_google_fde3_cloud_gtm.md b/output/Google_FDE3_Cloud_GTM/session_google_fde3_cloud_gtm.md new file mode 100644 index 0000000..d6796b1 --- /dev/null +++ b/output/Google_FDE3_Cloud_GTM/session_google_fde3_cloud_gtm.md @@ -0,0 +1,145 @@ +# Session: Google — Forward Deployed Engineer III, Google Cloud GTM (French, German), Zürich + +## JD Integrity +- **File/source:** `output/Google_FDE3_Cloud_GTM/JD_google_fde3_cloud_gtm.txt` — copied verbatim from `job_scout/jd_google_fde3_gtm.txt` +- **Source URL:** https://www.google.com/about/careers/applications/jobs/results/78350205438567110-forward-deployed-engineer-iii-google-cloud-gtm-french-german?location=Switzerland +- **Retrieval method and date:** job_scout Playwright headless Chromium (`inner_text('body')`), 2026-08-11. NOT WebFetch (JS-blind on Google Careers). +- **Verbatim posting:** YES — full min/preferred quals, About the job, and Responsibilities captured +- **Posting status:** LIVE 2026-08-11 — present in the Google Zürich board listing (32 rows). Sibling req *FDE III, Generative AI (French, German)* returned "Job not found" on the same scrape and is logged closed. +- **Level badge on posting:** `Mid` + +## Application Decision +- **Audience profile:** International Tech (default; US-tech conventions, Zürich office) +- **Evidence Fit:** **67/100** +- **Fit class:** **Adjacent** (60–74) +- **Hard gate:** **PASS** — no minimum qualification is a Gap. See caveat below. +- **Channel Strength:** **Weak** (cold application; no referral, no recruiter contact) +- **Channel plan:** Cold at submission. Warm action outstanding — see Channel Action. +- **Cohort slot:** Adjacent **2/2** (cohort `evidence-first-2026-01`, currently core 1/7, adjacent 1/2, stretch 0/1). **This consumes the last Adjacent slot.** +- **Decision:** **PROCEED** — user override recorded below. + +### Level override (explicit, do not re-litigate) +User instruction 2026-08-11, verbatim: *"ignore fit, i would gladly accept a mid FAANG offer."* This is the **second** explicit override (first recorded 2026-06-20 in `user_comp_bar`). Level, seniority and the CHF 180k bar are **NOT** to be scored as gaps or raised as objections for FAANG reqs. Screen these reqs on hard capability gates only. + +### Hard-gate caveat (must be stated, not buried) +The gate passes on the letter of the minimum qualifications. It is weaker on the **title-defining capability**: `critique_framework.md` §1 flags NO-GO when a title-defining capability is not Direct. Responsibility #1 — *"lead developer … production-grade agentic workflows (multi-agent systems, MCP servers)"* — is a **Gap**, not a Bridge, because SW-8 explicitly forbids claiming agent orchestration or production LLM systems. Classed Adjacent rather than No-Go because that capability appears in **Responsibilities and Preferred quals, never in Minimum quals**. This is the single serious gap permitted under the Adjacent rule — there must not be a second. + +## Requirements + +### Minimum qualifications (all five must hold — none is a Gap) +| # | Requirement | Req/Pref | Class | Canonical evidence | Gate? | +|---|---|---|---|---|---| +| 1 | Bachelor's degree or equivalent practical experience | Required | **Direct** | EDU-BENG (B.Eng.), EDU-MENG (M.Eng.) | YES — pass | +| 2 | 2 yrs software development in one or more programming languages | Required | **Direct** | ~13 yrs; Python/SQL production-current, Java/C# production-historical. **No language specified — no C++ gate on this req.** | YES — pass | +| 3 | 1 yr ML infrastructure (model deployment, evaluation, optimization, **data processing, debugging**) | Required | **Bridge (high)** | BS-1 containerized ML inference deployed into 24/7 fab production = genuine model-deployment infrastructure; SW-1/SW-3/SW-6 data processing on Kubernetes | YES — pass on deployment + data processing. **Do NOT claim model evaluation** (forbidden). | +| 4 | GenAI techniques (LLMs, multi-modal, LVMs) **or** GenAI-related concepts (language modeling, computer vision) | Required | **Bridge (medium)** | SW-8 domain-grounded LLM assistants, LiteLLM, custom GPTs, Kiro, Copilot. **Computer-vision branch:** BS-1 image-classification inference, BS-2 wafer inspection images. | YES — pass via the "or concepts" branch | +| 5 | Ability to communicate in **French or German** fluently | Required | **Direct** | German native. Disjunctive — French not required. | YES — pass | + +### Preferred qualifications +| # | Requirement | Class | Canonical evidence / note | +|---|---|---|---| +| 6 | Master's or PhD in AI, CS or related technical field | **Direct** | EDU-MENG, M.Eng. Computer Aided Engineering (display focus: Software Design & Engineering) | +| 7 | Multi-agent systems via LangGraph / CrewAI / Google ADK; ReAct, self-reflection, hierarchical delegation | **GAP — hard** | LangGraph/LangChain/LlamaIndex are `forbidden: never-used`. SW-8 forbids "agent orchestration". **Never fabricate. This is the serious gap.** | +| 8 | LLM-native metrics (tokens/sec, cost-per-request), state management, granular tracing | **Weak bridge** | LiteLLM gateway gives honest token/cost-routing exposure; BS-4 ELK/Kafka monitoring is real observability. Do not inflate into LLM-native observability ownership. | +| 9 | Secure agentic workflows: MCP, tool-calling, OAuth-based auth | **Gap** | No MCP evidence. Adjacent only: API/security-perimeter integration work. | + +### Responsibilities +| # | Responsibility | Class | Canonical evidence | +|---|---|---|---| +| R1 | Lead developer, prototypes → production agentic workflows (multi-agent, MCP servers) driving ROI | **Gap** | SW-8 forbidden territory. Title-defining — see caveat above. | +| R2 | Architect/code the "connective tissue" between Google AI products and customer live infra — APIs, **legacy data silos**, security perimeters | **Direct** | SW-1 legacy Teradata/Oracle ETL migration (own domains), SW-7 source onboarding into governed data products, BS-2 Oracle/Hadoop services. **Strongest single match in the JD.** | +| R3 | Build evaluation pipelines and observability frameworks for accuracy, safety, latency | **Bridge (medium)** | BS-4 ELK/Kafka anomaly detection + monitoring; SW-2 data quality/incidents/on-call. **"formal model evaluation" is globally forbidden — frame as data/pipeline quality + observability, never model eval.** | +| R4 | Identify repeatable field patterns → reusable modules / product feature requests | **Bridge** | SW-7 governed data products as reusable assets; BS-5 Spotfire C# extensions | +| R5 | Co-build with customer engineering teams; instill best practices, drive adoption | **Bridge (medium)** | SW-4 internal B2B stakeholders/product owners; BS-3 Application Owner (training, vendors, SLOs, docs); BS-5 co-presented TIBCO Analytics Forum 2022. **SW-4 forbids "customer-embedded delivery"/"strategic customer delivery" — internal-stakeholder scope must stay visible.** | + +### Constraints +| Constraint | Status | +|---|---| +| Zürich, Switzerland — hybrid | **Workable** — commutable from Bern; within stated Bern/Basel/Zürich radius | +| Work authorization | **Direct** — German citizen (EU), Swiss B permit, no sponsorship needed | +| Google Cloud / Vertex AI / Gemini Enterprise ecosystem | **GAP** — GCP is `forbidden: unverified` in claims.json. AWS-primary. Not a minimum qual, but it is the employer's own stack. State honestly; never imply GCP production experience. | +| Google application quota | 1 of 3 rolling-30-day slots used (Business Home, 2026-07-27). Slot available. | + +## Evidence Fit — dimension table +| Dimension | Weight | Score | Reasoning | +|---|---:|---:|---| +| Required qualifications | 35 | 26 | All 5 minimums hold; 2 Direct, 3 Bridge. None is a Gap. | +| Core responsibilities | 25 | 13 | R2 Direct and strong; R3–R5 Bridge; **R1 (the defining one) is a Gap**. | +| Level and ownership | 15 | 12 | Staff scope against a Mid req — over-clears. Deduction is for external-customer delivery ownership (internal-only), not for level. | +| Recency and depth | 10 | 6 | Swisscom data/AI-foundation work is current and substantial; GenAI exposure is configuration-level, not delivery-level. | +| Domain/tool transfer | 10 | 5 | AWS→GCP is genuinely transferable; agent frameworks (ADK/LangGraph) are **not** substitutable by anything he has. | +| Practical constraints | 5 | 5 | Native German, EU citizen + B permit, Zürich commutable. | +| **Total** | **100** | **67** | **Adjacent** | + +## Company Context +- **Google Cloud is scaling FDE hiring hard in 2026** — reporting describes ~59 FDE reqs across US/London/Paris/Hong Kong and "hundreds" of hires, an embedded role shipping production AI inside customer organisations. A funded build-out hiring at volume is materially better odds than a single backfill req — the same structural argument that made the Microsoft Frontier req attractive. +- **$750M partner fund (2026-04-22)** explicitly funds "teams of embedded Google forward-deployed engineers" across the 120,000-member partner ecosystem, covering AI value identification, agentic prototyping, agent building/deployment and upskilling. This is the budget line this role sits on. +- **Cloud Next 2026 renamed Vertex AI to the Gemini Enterprise Agent Platform**, absorbing Agentspace. **Note the JD still says "the complete Vertex AI platform"** — the posting predates or ignores the rename. Use the JD's own vocabulary in the documents; knowing the rename is useful for an interview, not for the resume. +- **ADK v1.0** shipped stable across four languages with a graph-based multi-agent framework; **every Google Cloud service is now MCP-enabled by default**, with managed MCP servers via Apigee. A2A protocol v1.0 in production at ~150 organisations. +- **DACH:** Google Cloud runs a DACH developer summit and is pushing agentic-workplace transformation with DACH enterprises. German-language delivery from Zürich is a real, funded lane. +- **"Why them" angle:** Google's own framing is that the hard part is production reality inside the customer's environment — APIs, legacy data silos, security perimeters. That is precisely Dennis's decade: he has been the person *inside* the large regulated European enterprise whose messy data the agents must query. + +## Competitive Read +- **Obvious-fit candidate:** A GCP-certified consultant from a Google partner (Accenture/Devoteam/Onix) with Vertex AI / ADK delivery scars and German, or an ex-Palantir/ex-Google FDE. Alternatively a strong Mid-level Google-internal transfer. +- **Their advantage:** Direct GCP/Vertex/ADK production work, real multi-agent shipping, customer-facing delivery titles, and often an internal referral. +- **Dennis's advantage:** He has *been the customer*. Ten-plus years inside large regulated European enterprises (Swisscom telco, Bosch semiconductor fab) shipping into unforgiving production; genuine legacy-data-silo and security-perimeter integration; native German; and the governed-data-foundation layer that agentic pilots keep dying on. Consultants usually leave before the pager. +- **Level/scope comparison:** He is *over*-levelled for a Mid req, which is a screening risk (see below), not an evidence weakness. + +## Framing Strategy +- **Professional identity:** A production engineer from inside large regulated European enterprises who builds the governed data foundation and integration layer that enterprise AI runs on — now bringing that to Google Cloud's customers, in German. +- **Lead narrative:** Play the **insider-operator** card, not the consultant card, and not the AI-researcher card. +- **Strongest proof points:** + - R2 anchor — legacy data silos, API integration, security perimeters (SW-1, SW-7, BS-2) + - BS-1 — containerized ML inference shipped into a 24/7 fab with no deployment window (covers min qual 3 *and* the "production-grade reality" theme) + - SW-7 — governed data products + Atlassian Compass metadata/lineage = the grounding layer agents query + - Native German + Swiss/DACH enterprise fluency (min qual 5, and the reason this req narrows) + - BS-3 / BS-5 / TAF 2022 — enablement, training and technical evangelism to stakeholders +- **Honest adjacent bridges:** + - Internal B2B stakeholder delivery → co-building with customer engineering teams (**keep internal scope visible**) + - LiteLLM / custom GPTs / Kiro / Copilot → GenAI integration at configuration level (min qual 4) + - BS-4 ELK/Kafka observability → evaluation/observability frameworks (**pipeline and data quality, never model evaluation**) +- **Explicit gaps — state or omit, never fabricate:** + - Multi-agent frameworks (ADK, LangGraph, CrewAI), ReAct/hierarchical delegation — **omit entirely; forbidden** + - MCP, tool-calling, OAuth agentic auth — **omit** + - GCP / Vertex AI / Gemini Enterprise production experience — **omit from resume; AWS stated honestly** + - LLM fine-tuning, formal model evaluation — **globally forbidden** +- **User directives:** Level/comp is not a gap (override). Enforce Scope Discipline on Swisscom Data Mesh (SW-7 forbidden verbs). Never substitute LangChain/LangGraph for the real toolchain. + +## Critique Context +- **Reviewer persona:** A Google Cloud AI GTM hiring manager or FDE peer in Zürich, screening a high-volume req. Impressed by: evidence of carrying something into a hostile production environment and owning the pager; concrete integration against legacy systems; German. Bored by: tool soup, "passionate about AI", advisory language with no shipping evidence, and any whiff of overclaimed agent work they will puncture in ten seconds. +- **Likely first technical challenge:** *"Walk me through an agentic system you put into production."* There is no honest answer that says "I did." The honest answer pivots to the grounding/data/integration layer and to BS-1 as production ML delivery. **Prepare this before any call — it is the screening risk, the same shape as the BIS LLM-depth probe.** +- **Domain vocabulary:** "time to value", "production-grade", "grounding", "data readiness", "connective tissue", "eval pipelines", "field patterns". Outsider tells: calling FDE work "consulting", "solutioning", implying pre-sales. + +## Cover Letter Decision +- **YES** — required, and for a specific job beyond skills coverage. +- **Reason:** Two things the resume structurally cannot do. (1) **Pre-empt the overqualification screen.** Google Business Home (Mid req, Staff-scope resume) was submitted 2026-07-27 and dispositioned "Not proceeding" on 2026-07-28 — roughly 24 hours, too fast to be a content read. The letter must say plainly why a Staff-scope engineer wants this seat and that level is secondary. (2) **Own the German + DACH-enterprise angle** as motivation rather than as a keyword. +- **Information it adds beyond resume:** deliberate level intent; why Google Cloud specifically (the embedded-FDE build-out and the data-readiness thesis); German-language delivery to DACH enterprises from Bern. +- **What it must NOT do:** apologise, sandbag the evidence, or imply agentic/GCP experience. Fabricating *downward* violates the same accuracy rule as fabricating upward. +- **Verified hook sources:** Google Cloud $750M partner fund (2026-04-22, Google Cloud Press Corner); FDE scale-up reporting (Metaintro/CIO Dive); Cloud Next 2026 Gemini Enterprise Agent Platform rename + ADK v1.0 + managed MCP servers (Google Cloud Blog, Google Developers Blog). + +## Channel Action (REQUIRED — do not skip) +Cohort data is unambiguous: **0 strong, 0 moderate, 2 weak channels; 7 cold applications rejected at screen with no interview.** Tailoring has never been the failing variable. Before or immediately after submitting, attempt one warm action — Swisscom network into Google Zürich, or a targeted note to the AI GTM recruiter. Record the result and upgrade Channel Strength if it lands. + +## Resume Plan (draft — confirm in Phase 1) +- **Summary:** 2–3 lines — insider-operator identity, German, production integration +- **Skills:** 4–6 evidence-backed lines; AWS stated honestly; **no GCP, no agent frameworks** +- **Swisscom:** ~4–5 bullets (SW-7, SW-1, SW-3, SW-4, SW-8 hedged) +- **Bosch:** ~3–4 bullets (BS-1 lead, BS-2, BS-3, BS-5) +- **Earlier experience:** 0–1 per role (Fraunhofer FC-3, Vizrt VZ-1/VZ-2, Generali GN-1) +- **Total bullets:** 11–14, natural length, no page-fill quota +- **Impact evidence still needed:** all canonical metrics are `unverified` — no invented numbers anywhere + +## Output Files +- Resume: `output/Google_FDE3_Cloud_GTM/e2e_google_fde3_cloud_gtm_resume.tex` (pending) +- Cover letter: `output/Google_FDE3_Cloud_GTM/e2e_google_fde3_cloud_gtm_cover_letter.tex` (pending — decision YES) +- Critique: `output/Google_FDE3_Cloud_GTM/critique_google_fde3_cloud_gtm.md` (pending) + +## Status +- **Fit gate:** DONE — Adjacent 67/100, hard gate PASS with stated caveat, PROCEED +- **Phase 0:** DONE +- **Phase 1:** PENDING +- **Resume:** PENDING +- **Cover letter:** PENDING (decision YES) +- **Critique:** PENDING +- **Application/outcome:** not submitted +- **Next:** Phase 1 — bullet plan