About
Robson Poffo
Senior Product Manager · AI & Data Platforms on Google Cloud (BigQuery, Dataflow) · Agentic AI · Platform Strategy & Cloud Economics
I build AI and data platforms that teams can trust, scale, and afford. Today I lead product strategy for the multi-tenant enterprise data & AI platform at TOTVS, a leading enterprise software company in Latin America, built on Google Cloud — the foundation other product teams use to ingest, process, and serve enterprise data, and increasingly to build AI agents. I own the roadmap and the platform economics, so every decision balances customer value, reliability, performance, and cost.
A few decisions I'm proud of: cutting storage costs ~46% through tiering changes in a year ingestion volume more than doubled; defining a batch-ingestion model ~84% cheaper per GB than streaming for eligible workloads; moving large-scale pipelines to SQL on BigQuery, where a core workload's runtime went from 57 minutes to 26 seconds and cost per run fell 99%; and taking TOTVS Clock In from concept to production in under four months — it now serves hundreds of thousands of workers daily and is protected by a granted U.S. patent.
I'm most useful where product strategy and architecture are tightly connected. I go deep with engineering on batch and streaming, BigQuery, Dataflow, observability, governance, and cost-performance trade-offs, and keep decisions anchored on customer and business outcomes. Before product, I was a software engineer and architect and taught university courses in databases and distributed systems, with five published papers on BI, lean systems, and identity-based cryptography. I'm a certified Google Cloud Professional Data Engineer.
Skills
- Product & Leadership
- Product Strategy & RoadmapsTechnical Product ManagementCustomer DiscoveryPlatform & Cloud EconomicsExperimentation & A/B TestingMetrics & OKRsGo-to-MarketCross-functional LeadershipMentoring
- Data & AI
- AI & Data PlatformsAgentic AI FoundationsBatch & Streaming PipelinesObservability & Data GovernanceReal-time AnalyticsLGPD / GDPR Compliance
- Google Cloud
- BigQueryDataflowPub/SubCloud StorageCloud RunLooker StudiodbtFirestore
- Engineering
- SQLPythonJavaMulti-tenant ArchitectureDistributed SystemsSSO / IdentityPerformance Optimization
- Certifications
- Google Cloud Professional Data Engineer (valid through 2028)AI Product Manager Nanodegree (Udacity)Product Management Certificate (Product School)Machine Learning — CourseraFundamentals of Project Planning & ManagementDigital Marketing CertificateJava SCJP / SCJAITIL v3 FoundationTOTVS Datasul HCM
- Languages
- Portuguese (Native)English (Full Professional)Spanish (Professional Working)
Timeline
Work and studies, most recent first.
- Now
Executive Product Manager, Data & AI Platforms · TOTVS Labs
Jul 2023 — Present · Raleigh-Durham, North Carolina
Product lead for TOTVS's multi-tenant enterprise data & AI platform on Google Cloud (BigQuery, Dataflow, Cloud Storage), processing terabytes of enterprise data daily for thousands of customers. Lead 19 people across 4 guilds (Product, Data Engineering, QA, Projects) through 4 leads; partner with Engineering, Data Science, and business units.
- Own product strategy, roadmap, and platform economics, keeping every decision anchored on customer value, reliability, performance, and cost
- Cut storage costs ~46% year over year while ingestion volume more than doubled, by redesigning the storage-tiering strategy
- Made the call to adopt batch ingestion for eligible workloads (~84% lower cost per GB than streaming), validated through a time-boxed POC before rollout, leading the trade-off analysis on workload segmentation, SLAs, and reliability
- Led an in-memory data-access redesign that cut latency 87%, speeding up dashboard loads and freeing application resources that previously sat idle waiting on data
- Defined a 3–4-year convergence roadmap to unify the company's data platforms into one architecture and retire redundant processing engines, aligned with the corporate data and AI strategy
- Leading the integration of agentic AI with the platform — a reusable foundation for product teams to build and deploy AI agents on governed enterprise data
- Built a production-critical telemetry and cross-product observability foundation (Dataflow, BigQuery, Pub/Sub, dbt) used for reliability, usage visibility, monetization, and cost decisions
- Own cloud-budget governance, keeping platform spend aligned with operating targets while funding growth
- Recognized with TOTVS's Bússola de Ouro (Golden Compass) leadership award for the Data & AI area (2025)
- 2019
Senior Product & Design Manager · TOTVS Labs
Jun 2019 — Jun 2023 · Raleigh-Durham, North Carolina
- Led product strategy for the Carol Data & AI Platform (ingestion, transformation, enrichment, serving, app deployment, observability, governance) through a year the tenant base grew 2.4× and data volume 2.6×
- Drove the 2021 shift to SQL-based processing on BigQuery, replacing legacy Dataflow and Elasticsearch patterns: core workload runtime dropped from 57 minutes to 26 seconds, cost per run fell 99%, and dashboard processing spend fell 92%
- Extended the modernization with multi-tenant unification and event-driven dispatch: cost per tenant −70%, ~70% of no-op processing runs eliminated, and FY2022 closed 5% under cloud budget
- Sustained 99.95%+ monthly availability through major platform changes while strengthening zero-data-loss controls and observability
- Took TOTVS Clock In from concept to production in under four months (offline-first sync, facial recognition, EN/PT/ES, privacy by design) — now serving hundreds of thousands of workers daily; co-inventor on U.S. Patent 11,763,605
- Managed and mentored Product, UX, QA, and project functions; set up product metrics and led LGPD/GDPR privacy and governance initiatives
- Selected for TOTVS's long-term incentive recognition (2019, 2021)
- 2016
Senior Product Manager · TOTVS Labs
Oct 2016 — Jun 2019 · Mountain View, California
- Grew an enterprise Big Data and AI platform from early adoption to use across multiple business domains, setting priorities from customer discovery and owning roadmap, releases, and migrations
- Aligned U.S. and Brazil engineering, UX, QA, and business teams on one platform strategy and release cadence
- Introduced product and operational metrics, automated testing, and load testing as the platform scaled — laying the foundation for later multi-tenant and processing modernization
- 2015
Product Manager, Fluig Data · TOTVS
Apr 2015 — Oct 2016 · Joinville, Santa Catarina
- Hands-on technical PM for Fluig Data, a Big Data and AI platform for TOTVS's next generation of applications. Ran discovery with customers to set priorities across business segments and wrote detailed specs with engineering
- Built the product dashboard for performance and usage, drove Selenium test automation and load testing, and served as the main link between U.S. and Brazil product and engineering teams
- 2015
Product Manager, Fluig Identity · TOTVS
Jan 2015 — Mar 2015 · Joinville, Santa Catarina
Technical owner of architecture and roadmap for Fluig Identity, TOTVS's identity & access product — single sign-on (SSO) and provisioning of users, roles, and groups integrated with the HCM suite.
- 2011
Master of Science (M.Sc.) · Instituto Superior Tupy
Production Engineering — Production Systems Management
Jan 2011 — Dec 2013 · Joinville, Santa Catarina
- 2010
Product Manager, TSA (TOTVS Security Access) · TOTVS
Aug 2010 — Dec 2014 · Joinville, Santa Catarina
- Hands-on technical PM for TSA, which controls physical access through networked (TCP/IP) devices; owned technology choices, architecture, and roadmap
- Stabilized the product and improved performance and device sync by reworking the web and device-communication architecture, validated with stress simulations — lessons that later informed the offline-first design of TOTVS Clock In
- Led the team building HCM-integrated workflow features and worked directly with customers on issues and sales
- 2010
University Professor · SOCIESC
Jul 2010 — Mar 2015 · Joinville, Santa Catarina
Taught undergraduate modules — databases, distributed-systems programming, scripting, and software development process — and validated final projects. Mentored computer-engineering and information-systems students. Honorable-mention professor awards in 2011, 2012, 2013, and 2014.
- 2007
Postgraduate · SENAI
Software Engineering & UML
Jan 2007 — Dec 2008 · Joinville, Santa Catarina
- 2004
System Analyst · Datasul
Aug 2004 — Jul 2010 · Joinville, Santa Catarina
- Led the technical team; delegated tasks, mentored engineers, and evaluated performance
- Determined project architecture from stakeholder requirements and built cross-functional teams supporting clients on products and projects
- Notable projects: Rexam World-Wide Integration and MSA (Access Security integration)
- 2003
Bachelor of Science (B.S.) · Instituto Superior Tupy
Information Systems
Jan 2003 — Dec 2006 · Joinville, Santa Catarina