Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **LOW** [3-pro] Analytics Engineer. SQL/Python. Focus on Data Warehousing (Redshift/BigQuery). Candidate is capable but overqualified in 'Architecture' and underqualified in specific 'Analytics Engineering' tooling (DBT, Modeling methodologies). **Strengths:** SQL, Python, Data understanding

[ANALYSIS_REPORT] **HIGH** [3-pro] Backend Senior. Python, Go, Node.js. EXACTLY the candidate's stack. 'Architecture, API design'. Remote. **Strengths:** Polyglot (Go/Python/Node), System Design, AWS

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] The ATS sees some DevOps overlap: AWS fundamentals, Docker, CI/CD, automation, and scripting. However, it does not find Java/Kotlin, Gradle, or strong Kubernetes experience, which are highlighted as key. This results in a modest match score. **Strengths:** Automation-focused mindset with CI/CD and infrastructure work, AWS fundamentals and cloud-awareness, Experience mentoring and leading in smaller engineering contexts **Missing Required:** Java/Kotlin language experience, Kubernetes orchestration experience

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] The ATS identifies relevant workflow automation and project system experience (n8n, Zapier, Make, Monday.com/ClickUp/Airtable), but it does not see Workfront or Workfront Fusion, which are central to the role. Without those exact tools, the candidate appears adjacent rather than directly qualified. Thus the score sits in the low-40s. **Strengths:** Strong workflow automation background using n8n, Zapier, and Make, Experience with project management tools (Monday.com, ClickUp, Airtable), Solid English and remote collaboration experience **Missing Required:** Hands-on Workfront configuration experience, Workfront Fusion experience

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] The ATS finds only marginal overlap via general JavaScript and web experience but does not see any Three.js, 3D rendering, or Angular work. Since 3D expertise is the core requirement, the profile reads as a different domain (systems/automation vs. 3D front-end). This results in a very low match score. **Strengths:** Strong engineering and optimization mindset, JavaScript familiarity that could be transferable in a different role **Critical Gaps:** 3D visualization and Three.js specialization **Missing Required:** Proven Three.js experience, Advanced Angular + TypeScript experience

[ANALYSIS_REPORT] **LOW** [3-pro] C# / .NET Architect. Candidate does not use .NET. **Strengths:** Architecture **Critical Gaps:** Language mismatch **Missing Required:** C#

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] The ATS sees some architecture and full-stack signals from building complex web systems, but not the specific experience with React, modern CMS/MACH architecture, or digital marketing/personalization platforms. This role is heavily oriented toward large-scale consumer-facing brand sites and compliance-focused design. Those domain-specific elements are mostly missing, producing a low score. **Strengths:** Proven ability to architect and implement full systems from scratch, Strong API and database design skills, Experience owning uptime and performance in production systems **Missing Required:** React full-stack experience for brand websites, Modern CMS/MACH architecture experience

[ANALYSIS_REPORT] **HIGH** [3-pro] Developer for AI/Agents. n8n, LangChain, GenAI. Candidate uses these tools (n8n mentioned in skills, LangChain/GenAI in projects). Location Goiânia (might be hybrid/remote? Description says 'Goiânia/GO'). **Strengths:** LangChain, n8n, GenAI agents

[ANALYSIS_REPORT] **TOP** [Copilot: GPT5.1] The ATS sees an exceptional match: direct n8n experience, extensive workflow automation using Zapier/Make, strong SQL/PostgreSQL, deep LLM API and RAG experience, and a proven ability to architect complex multi-step automations. The listed tech stack (n8n, Supabase/PostgreSQL, Airtable-like tools, Anthropic/OpenAI APIs) aligns almost one-to-one with the resume. Non-traditional titles are less of an issue because the role explicitly seeks a low-code architect rather than a traditional software engineer. **Strengths:** Hands-on n8n and broader workflow automation experience, Deep prompt engineering and LLM pipeline design with Anthropic/OpenAI and others, Strong SQL/PostgreSQL and data modeling for Supabase-style backends

[ANALYSIS_REPORT] **LOW** [3-Flash] The candidate lacks the required 5+ years of formal 'Product Manager' titles and specific experience with enterprise tools like Alteryx. While the AI and analytics background is strong, the ATS will likely filter based on the specific title requirement and the Bain/Consulting pedigree expectation. The Mechatronics degree is a technical plus but doesn't offset the missing PM lifecycle experience in a corporate setting. **Strengths:** AI-enabled capability design, SQL and data analysis, Stakeholder communication **Critical Gaps:** 5+ years professional Product Manager title **Missing Required:** 5+ years in product management role, Experience with B2B SaaS

[ANALYSIS_REPORT] **HIGH** [3-pro] Product Owner for AI/Innovation. 'Bridging business and tech', 'Agents', 'Discovery'. Candidate's profile is heavily weighted towards 'Technical Product Management' (translating executive intent to code). **Strengths:** AI technical depth, Business translation, Discovery

[ANALYSIS_REPORT] **TOP** [3-pro] Product Owner AI. Oil & Gas / Industrial context (Altave). Mechatronics background is huge here. Role requires 'translating complex technical terms to value'. Candidate's resume explicitly says 'Translator between business and engineering'. **Strengths:** Mechatronics background, Industrial context, Translator profile

[ANALYSIS_REPORT] **MEDIUM** [3-pro] Senior PM for Internal Tools/Efficiency at Woba. Candidate's 'Automation' and 'Operations' background is perfect for 'Internal Tools'. Focus on efficiency/ROI. **Strengths:** Operational efficiency obsession, Internal tool building

[ANALYSIS_REPORT] **LOW** [3-pro] Delivery Lead for AI. Governance, execution. Candidate has managed projects, but this role seems more bureaucratic/PMO focused. **Strengths:** AI project understanding

[ANALYSIS_REPORT] **MEDIUM** [3-pro] PO for Journeys/AI. Low-code mention. Omni-channel. Candidate understands customer journeys from e-commerce background. **Strengths:** Customer journey mapping, AI integration

[ANALYSIS_REPORT] **TOP** [3-pro] Lead AI Product Manager. Prompt Engineering, RAG, deciding architectures (Agents vs RAG). Candidate's recent self-driven project covers ALL of this (Prompt tuning PID, Scraper architecture). **Strengths:** Deep technical understanding of GenAI, Prompt Engineering as a science, Cost optimization

[ANALYSIS_REPORT] **MEDIUM** [3-Flash] Strong alignment with the AI-driven nature of the product, specifically the 'no-prompt' AI concept which mirrors the candidate's custom AI scoring work. However, the lack of a formal 'Product Owner' title and Agile certification (Scrum/Kanban) creates a gap in the ATS scoring for the required 3+ years in that specific role. **Strengths:** AI/ML technical background, SaaS product development, Cross-functional collaboration **Critical Gaps:** 3+ years as Product Owner title **Missing Required:** 3+ years experience as Product Owner

[ANALYSIS_REPORT] **HIGH** [3-pro] Product Manager AI (Bernoulli - Education). 'Translate pains to use cases', 'Implement practical solutions', 'Low-code/No-code'. Candidate's background in 'Independent Systems Engineer' was exactly this: solving client pains with automation. **Strengths:** Problem solving, Practical AI application, Education interest (MITx)

[ANALYSIS_REPORT] **MEDIUM** [Opencode: opencode:glm-5] Strong alignment with AI/automation backlog management, agile methodologies, and business-technical translation demonstrated through e-commerce automation and market intelligence platform. Mechatronics Engineering satisfies degree requirement. Missing explicit LGPD/governance knowledge, but candidate has EU data awareness from dual citizenship. **Strengths:** AI/automation project execution, Business-technical translation, Agile methodology application

[ANALYSIS_REPORT] **LOW** [Opencode: opencode:glm-5] Excellent AI/automation technical fit for Studio orchestration platform, but ATS will reject due to missing 'Product Manager' title in work history. Candidate has PM-equivalent responsibilities (Head of Engineering/Ops, independent consultant) but ATS keyword matching fails. B2B SaaS global experience not demonstrated. **Strengths:** AI agent/orchestration architecture, Platform technical vision, Engineering background **Missing Required:** Senior Product Manager title/experience

[ANALYSIS_REPORT] **HIGH** [Opencode: opencode:glm-5] Strong technical fit for AI PM role. LLMs, RAG, fine-tuning, and autonomous agents all demonstrated in recent market intelligence platform project. Discovery-to-delivery experience present. Missing explicit AI ethics/governance frameworks knowledge, though candidate has EU data awareness. **Strengths:** LLM/RAG/fine-tuning production experience, Discovery-to-delivery capability, Business-technical translation

[ANALYSIS_REPORT] **LOW** [3-Flash] Significant mismatch regarding required enterprise tools, specifically the mandatory 'hands-on experience with Salesforce Service Cloud.' The candidate's background is in custom Go/Python architectures, while this role is centered on governing a massive global Salesforce ecosystem, making the technical gap critical. **Strengths:** Conversational AI knowledge, Node.js/Python proficiency, AI framework familiarity **Critical Gaps:** No Salesforce ecosystem experience, Enterprise platform management at global scale **Missing Required:** Hands-on experience with Salesforce Service Cloud, 5+ years PM/Platform management

[ANALYSIS_REPORT] **TOP** [Opencode: opencode:glm-5] Excellent skills match for senior AI product analyst role. GenAI/GPT, SQL, systemic view, and communication all strongly demonstrated. JD focuses on capabilities rather than title requirements. PicPay is fintech-adjacent to candidate's finance background. Missing explicit product title but requirements don't demand it. **Strengths:** GenAI/GPT production application, SQL and data analysis, Systemic product thinking

[ANALYSIS_REPORT] **LOW** [Opencode: opencode:glm-5] HARD FILTER: Role explicitly reserved for Black and Brown candidates (Pretas e Pardas) only. Demographic requirement not met by candidate profile. **Critical Gaps:** Demographic eligibility **Missing Required:** Black/Brown racial category (Pretas/Pardas)

[ANALYSIS_REPORT] **LOW** [3-Flash] The candidate has strong data and ML fundamentals, but the lack of a formal 'Product Manager' title and Computer Vision specific projects creates a gap. AB InBev's Growth Group operates like a high-velocity tech hub, where 'Data PM' typically requires a track record of shipping ML models in a corporate environment. **Strengths:** ML lifecycle understanding, Business-technical translation, Data architecture **Critical Gaps:** No 'Product Manager' title **Missing Required:** Product Management experience