Dave Brace

About Dave

Experience

1. S

   Salesforce

   • AI Agentic PM AgentForce

     San Francisco, California, United States·Current

     AgentForce Agentic Product Mgmt

2. C

   Caber Systems, Inc.

   • co-Founder : Head of Gen AI

     San Francisco Bay Area·Current

     Head PM for Gen AI, Knowledge Graphs, RAG & AI M/L Data strategies. - Drive v1.0 PMF ICP GTM, Define + build our SaaS system, API’s and ML Database-Direct model training/distillation platform. Define Context engineered prompts for LLM Agentic systems for deterministic outputs. Design our Data Lineage, Provenance, Quality, Observability products. SME in NLQ Text2SQL Database services (Trino, MindsDB, Snowflake). I own our GenAI CoT Reasoning ReACT strategy and stack, our AI RAG DB stack (VectorDB and GraphDB).; plus, our API endpoint integrations. - Prototype, ship expanded product portfolio, Data Lineage, SDK, API integrations. - Drive first 100 ICP MVP PMF customers. 50 Beta engagements. Achieve first initial customer wins in 4 months. (from zero). - Establish major Agentic AI partnerships (LanghChain, LlamaIndex, CrewAI) – in 4 months. - Design ML model training Dynamic Data Classification/Labelling product, GenAI Memory Data Lineage Graph product, SDK, Python & structure LLM Metadata output engine. Project stack: Agentic RAG solution using AWS Bedrock, RDS for PostgreSQL Knowledge Graph solution using AWS Neptune (GraphDB). RAG and ML Data pipelines using AWS Macie, Neo4j Aura, PyTorch, TensorFlow, sci-key, HF, Llama, DeepSeek v2, MLflow, Kubeflow. Nvidia DGX AI ML Server (SaaS, on-prem)

3. C

   Caber Systems, Inc. · Full-time

   • co-Founder : Head of Gen AI

     Oct 2024 - Present · 10 mos·San Francisco Bay Area · On-site·Current

     Caber is an GenAI Enterprise company that converges Data Quality + Lineage + Observability with in-line Data Classification & Security into a single platform. ✧ As co-founder, I head Product Mgmt and run our Gen AI Products, Knowledge Graph & AI Data strategies. ✧ I'm driving our v1.0 PMF and GTM, building out product that delivers the highest value. Proving a deterministic System of Context with Trustworthy Data Observability, Lineage, Security and Governance for all GenAII Data flows, for any LLM, any M/L framework, any NLQ Text2SQL Data layer, any Database, any CoT Reasoning ReACT System and any RAG pipeline. - Our product is innovative and impressive, unique & unequalled ! ✧ We define an enterprise Data quality and security for Agentic Systems of Context systems. Working on... Gen AI Product strategy. GTM Strategy. Product Marketing. Competitive, Funding. Specialist focus on LLM, M/L, CoT ReACT Reasoning systems, Conversational AI, RAG pipeline, Knowledge Base & Knowledge Graph strategy (VectorDB & GraphDB). Skills: Artificial Intelligence (AI) · Large Language Models (LLM) · gpu · Databases · Machine Learning · AI/ML · GraphQL · VectorDB · Knowledge Graphs

4. M

   MindsDB

   • Group Product Director AI/ML - 2 Million users

     San Francisco Bay Area·Current

     Nvidia funded Gen AI startup. – Built our Product team of 6 AI PM’s - Early Pioneer & builder of Gen AI Database-Direct ML model training platform with 200 Database integration (SaaS & self-hosted ML pipelines). Lead PM team for Agentic App framework partnerships, LLM inference tuning & integrations, model tuning MLops, distillation & deployment. Defined our RAG Knowledge Graph strategy; Defined v2.0 Federated NLQ Data Compute-Query SaaS platform, AI Inference API endpoints and drove LLM MCP SaaS Database strategy (partnered with Google Gemini team). Designed our custom predictive analytics Text2SQL LLM model and LLM deterministic structured SQL tabular, JSON outputs strategy ; (partnered with OpenAI model engineering team). - co-inventor, Product owner of commercial and Open-source products (+2M user deployments) - Launched 200+ Database ML pipeline connectors for SaaS & self-hosted AI integrations. - Launched SaaS Federated NLQ Text2SQL SaaS connectors & API biz - Built Enterprise Agentic Platform partnerships with 5 AI Framework partners. - Grew opensource product from 350,000 to 550,000 users (+157% growth) in 6 months. - Run business: Agentic Apps FDE Consulting Architecture & DevRel biz. - Shipped 10+ follow-on product feature releases ahead of schedule. Project stack: 50+ Agentic RAG solutions using AWS Bedrock, Google Vertex RAG engine, GCP Document AI, Vertex Embeddings, Nomic-Embed-v1.5/v2. AWS RDS for PostgreSQL Knowledge Graph solution using AWS Neptune (GraphDB). RAG and ML Data pipelines using AWS Macie, Neo4j Aura, PyTorch, sci-key, HF, oLlama, DeepSeek v2, MLflow, Kubeflow.

5. M

   MindsDB · Full-time

   • Group Product Director AI/ML - 2 Million users

     Mar 2024 - Present · 1 yr 5 mos·San Francisco Bay Area · On-site·Current

     Group Product Mgmt leadership across Commercial and Open Source Gen AI products at MindsDB. I lead our AI/ML Data integrated intelligent Gen AI Cognition platform that connects your Data to Gen AI/LLM models, RAG / Knowledge Base / CoT Reasoning pipelines. - I define our roadmap and strategy to enable our Agentic AI App partners to achieve enterprise success thru our platform. - I drive innovative product strategies to power high performance AI conversational Gen AI apps and conversational AI use-cases for "easy to ask difficult to answer questions". Democratizing AI empowered Search, Data Analytics, Triage, Data Science, Content creation, Prediction for everyday users in the enterprise. - I set & define critical GTM, Marketing, pricing and partnership PM deliverables where our AI value to customers in the Enterprise is connected data in corporate Databases, SaaS apps, Storage systems, Webdocs, Object stores and is integrated with tuned LLM models, RAG, and CoT pipelines I manage an awesome global team to PM our NLQ Federated SQL Query Compute Engine & LLM model/endpoint integrations of 300+ low-code Enterprise Data source connectors. As well as our serverless Realtime Data query dialect, SQL, NoSQL and API databases stacks. Supporting 500,000 user deployments and 2+ Million community Devs,. All doing conversational Text2SQL chat with their enterprise data. - Foundation model researcher (specialty enterprise Gen AI datasets) - Domain specific model and embedding finetuning - RAG / ReAct Knowledge Base and Knowledge Graph Frameworks - CoT Reasoning Frameworks research - NLQ Federated SQL and NoSQL Text2SQL Database LLM research - ReAct pipeline dynamic prompt injection LLM performance fine-tuning - Gen AI Agentic App Builder with great DevX and DevRel Skills: AI/ML · Artificial Intelligence (AI) · Databases · Product Strategy · SQL · Large Language Models (LLM)

6. O

   OpenEBS · Full-time

   • Head Maintainer - Opensource CNCF project - 15 Million users

     Jan 2021 - Present · 4 yrs 7 mos·San Francisco Bay Area · Hybrid·Current

     I am the Head Maintainer guiding the worlds most deployed CNCF open-source K8s Container Native Data Storage platform for AI/ML Data Pipelines.. - OpenEBS. Our team invented Microservices Aware Stateful storage for K8s. I lead a global multi-disciplinary opensource team on all things Product, Engineering, Marketing, GTM strategy, Alliances, Solutions and Brand development. (2000+ active engaged contributors across all disciplines), With Millions of active daily users. I am a Top 10 GitHub contributor and PR reviewer / approver to our opensource project. ✧ openEBS is a CNCF open-source Member project in the Data Storage Landscape. Its a high-performance Enterprise Grade Stateful Persistent Datastore storage platform for Kubernetes (K8s). A k8s native purpose built Data system that unleashes the raw scale-up power of NVMe SSD Flash + RDMA + INTEL SPDK NVMe storage stack for AI/ML data pipelines, workflows and Data compute platforms. ✧ openEBS excels at extremely high-speed scale-up AI/ML, data lakes, ML pipeline datasets and AI databases for AI/ML RAG and ReAct Knowledge Base integrations. It's an NVMe + RDMA optimized workhorse for AI/ML ML workflows. Its Enterprise grade out-of-the-box. +10 Million installations ✧ openEBS | https://github.com/openebs. ✧ CNCF | https://cncf.io Skills: Analytical Skills · Team Management · Product Management · Problem Solving · Storage Virtualization · Case Studies · User Stories · Attention to Detail · Leadership · Market Analysis · Program Management · Communication · Marketing

7. O

   OpenEBS

   • Head Maintainer - Opensource CNCF project - 15 Million users

     San Francisco Bay Area·Current

     Head Maintainer & co-inventor : Guiding the worlds most deployed open-source K8s Container Native Data Storage platform for AI/ML Data Pipelines.. - OpenEBS (a Linux Foundation CNCF project) Our team invented Microservices Aware Stateful storage for K8s. I lead a global multi-disciplinary opensource team on Product, Engineering, Marketing, GTM strategy, Alliances, Solutions and Brand development. (2000+ active engaged Eng/Dev contributors across all disciplines), With Millions of active daily users. I am a Top 10 GitHub contributor and PR reviewer / approver to our opensource project. ✧ openEBS is a Linux Foundation / CNCF open-source Member project in the Data Storage Landscape. Its a high-performance Enterprise Grade Stateful Persistent Datastore storage platform for Kubernetes (K8s). A k8s native purpose built Data system that unleashes the raw scale-up power of NVMe SSD Flash + RDMA + INTEL SPDK NVMe storage stack for AI/ML data pipelines, workflows and Data compute platforms. ✧ openEBS excels at extremely high-speed scale-up AI/ML, data lakes, ML pipeline datasets and AI databases for AI/ML RAG and ReAct Knowledge Base integrations. It's an NVMe + RDMA optimized workhorse for AI/ML ML workflows. Its Enterprise grade out-of-the-box. +10 Million installations ✧ openEBS | https://github.com/openebs. ✧ CNCF | https://cncf.io

8. A

   Agentics Foundation

   • ♾️ co-founder Ai PM

     San Francisco Bay Area

     co-Founding member : I mentor our 100,000 members in core Ai-PM principles. I'm lead PM for our AI Agentic Coding Assistant (Distributed, Parallel Swarm AI eng/dev IDE). ~100K downloads, ~10K GitHub stars. +35K users, +500,000 coding agents launched every day. - I PM radically new Agentic Prod Mgmt breakthroughs, products, projects & research that our Foundation is pioneering. - I guide our Agentic Foundation Ai-PM’s to embrace the convergence of Researcher + Designer + Prod Mgr + Dev/Engineer + MLops + Data Sci. I define and shape our Global Ai PM methodology that is shaping the Agentic EI engineering industry. I myself, am a Vibe coding Prod Mgr (Python, Rust, Go, C++). - I am pioneering new breakthrough Ai-1st Ai-driven Prod Mgmt paradigms, workflows. and values, derived from the cutting edge work that the Foundation is doing in Generative AI Agentics. - aiPM's are now multi-faceted coding designing prototyping extensions of Engineering that are building Figma's, checking-in, merging, and shipping code. On-top of our traditional PM roles. I'm at the cutting edge of aiPM, defining this radical adaptive radiation PM experience for our community. ✨PM is experiencing a radical adaptive transformation driven by Ai. As a PM, if you don't adapt, and converge roles... you will become extinct. - MY works in the Agentics Foundation is driving this evolution. Project tech stack: Claude Code, Codex, Roo, VScode, Cursor, Cline, Aider, Copilot, Jules, Windsurf/Codeium, Opencode, ChatGPT, Gemini / Vertex, Claude Opus/Sonnet, Llama, Openrouter, requesty, Agentics Foundation Claude-Flow, Bedrock, Nova, Horizon, SageMaker, CrewAi, LlamaIndex, LangChain, Semantic Kernel, Rust, Go, Python, FastAPI, MCP. Data Science.

9. A

   Agentics Foundation · Full-time

   • ♾️ AiPM - Contributing PMdev Strategist

     Mar 2024 - May 2025 · 1 yr 3 mos·San Francisco Bay Area · Hybrid

     As an early founder, I mentor our global members in core Ai-PM principles. I drive the radically new Agentic Prod Mgmt breakthroughs that our Agentic Foundation is pioneering where Ai-Pm’s are a convergence of Researcher + Designer + Prod Mgr + Dev/Engineer + MLops + Data Sci. - I am a Vibe coding Prod Mgr (Python, Rust, Go, C++). - I am pioneering new breakthrough Ai-1st Ai-driven Prod Mgmt paradigms, workflows. and values, derived from the cutting edge work that the Foundation is doing in Generative AI Agentics. - aiPM's are now multi-faceted coding designing prototyping extensions of Engineering that are building Figma's, checking-in, merging, and shipping code. On-top of our traditional PM roles. I'm at the cutting edge of aiPM, defining this radical adaptive radiation PM experience for our community. ✨Paraphrasing Charles Darwin: PM isn't dead, its experiencing radical adaptive radiation from extreme exposure to Ai. As a PM, if you don't adapt, and converge roles... you will become extinct. - We are the Galapagos Finches. Skills: AI/ML

10. D

    DataCore Software · Full-time

    • Snr. Director Prod Mgmt & GTM Strategy - AI/ML K8s Data Platform

      Oct 2022 - Jul 2024 · 1 yr 10 mos·San Francisco Bay Area · Remote

      ✧ Current product: Built a team to delvier: +50 million data volumes deployed, 10.0 million installs, 10 million downloads, 1 million K8s instances spawned per week, 1.9M Active Daily Users, 8500 Github stars, 1000 forks, 800% growth in 2022, 240% growth in 2023. 190% growth in 2024. Run Engineering + PM + Mktg + Biz Dev Reset entire product + Eng group. Define roadmap. Align team. Execute at rapid pace. Drive team to deliver 8 feature product releases in 12 months. Drive marketing + BizDev to deliver new product success/PMF of 1 Millions installs p/week. The largest K8s deployed footprint (cloud & on-prem) globally. Define + Drive new GTM plan to achieve new product revenue + growth Align product teams on Generative AI strategies for K8s Inference MLops/AiOPS Data infra, & Ai Vision workflows Customers: ByteDance, Arista Networks, Comcast, Verizon, Flipkart, Lockheed Martin, EA, MSFT Azure, Verizon, Facebook, Airbnb, Uber, MongoDB, HashiCorp, Coinbase, CapitalOne, Stripe, PayPal, Amazon, Uber, ChatGPT, Etsy, Shopify, SalesForce.com, C3.ai, CapGemini, WIX, SquareSpace, Tesla, Samsung, Toyota, Disney, CocaCola, BankofAmerica, JPMC, SpaceX, Facebook, T-Mobile). OpenEBS use cases: K8s DataStores, Data pipelines AI/ML Training, Databases for Multi/Hybrid cloud, AWS EKS, GCP GKE & Azure AKS and self managed infra. Skills: Analytical Skills · Team Management · Product Management · Data Lineage · AI/ML · Problem Solving · Product Marketing · Storage Virtualization · Case Studies · User Stories · Attention to Detail · Data Quality · Metadata · Leadership · Data Architects · Market Analysis · Data Access · Program Management · Communication · Marketing

11. D

    DataCore Software

    • Snr. Director Prod Mgmt & GTM Strategy - AI/ML K8s Data Platform

      San Francisco Bay Area

      Ran the world’s #1 opensource CNCF Datastore platform for Kubernetes Microservices. (SaaS, On-Prem, Hybrid deployable), (github.com/OpenEBS). +10k GitHub stars. +15M user deployments, with +1M containers deployed every week. - As Snr. Dir Group PM, I drive roadmap & strategy for SaaS, API, Databases & Data services, LLM ML Training Data Infra (Nvidia GPU / Cuda RDMA GPU-direct Storage). I drove our AI data platform strategy & roadmap for our GenAI orchestration and SaaS object store product strategy, ML pipeline model training, tuning, distillation strategy. Manage global product to +200% growth in first year, and +170% growth 2nd year - Grow open-source platform from 1,000 community to +8,000 developers. - Grow MAU to 15+ Million. Validated 1 Million containers deployed per week. - Establish SaaS partners - Google, MSFT Azure, Oracle OCI, Canonical, Western Digital, INTEL, AWS, Nvidia, RedHat/IBM. – onboarded in 12 months. - Ran SW Eng/Dev to plan & deliver 8 releases on schedule in my first 9 months. - Execute strategy for NVIDIA GPU Data NIMs/Nemo CUDA AI strategy for net-new growth Project stack: K8s Microservices (AWS EKS & Fargate, Azure AKS, GCP GKE). Self-managed K8s solutions using EC2, EGS (GPU) with S3, EBS, EFS storage services. AI Model development with AWS SageMaker, AWS Textract, AWS Bedrock. Models: Nomic-Embed-v1.5 multimodal, VOLOv8, CLIP. DVC tools.

12. F

    F5

    • Dir Product Mgmt - AI ML AntiBot Security portfolio - 50 Million users

      San Francisco Bay Area

      >SHAPE Security was acquired by F5 Networks for $1Billion I ran the Product Mgmt and GTM Prod Mktg for the industry's best AI LLM-powered Anti-BOT Polymorphic Security Defense SaaS platform with the highest anti-bot mitigation efficacy. – Shape AI Security - Owned Product strategy for our Gen AI SaaS LLM MLops model architecture utilizing Domain-specific tuned distilled LLM’s for Real-time Enterprise identity, data classification, characterization and security threats identification. I owned our AWS Bedrock & GCP SaaS platform for automated streamlined Domain-specific ML model training, tuning and distillation, synthetic data generation and auto labeling/classification pipelines. - Defined core auto-LLM contextual prompt engineering sub-system for AI ant-bot threat behaviors, security exploit vectors, Running on AWS Bedrock & GCP Vertex AI platform. - Defined integrations for conversational chat UX, structured, unstructured and Time-series data services and early RAG solutions utilizing Vector and GraphDB’s. - Primary Prod Mgmt sponsor for TikTok, Facebook/Meta, PayPal, eBay, Reddit, Yahoo, Twitter accounts (our largest customers. Total +$400M revenue) - Defined, built and launched 3 new GenAI LLM powered Anti-Bot Security products - Nurture and grew new AI Anti-Bot MAU from 0 to 15,000. 1 Billion detections/day - Delivered new API integrated Agentic AI Network Security service, $150M net-new revenue plan for year 1. Delivery partners AWS and Google GCP AI M/L teams. Project stack: AWS networking (ELB, ALB, NLB, GLB) with EC2, (AWS EKS & Fargate, GCP GKE). S3, EBS data storage, AWS Lambda. Models: Nomic-Embed-v1.5/v2, bge-en-icl (BAAI). PyTorch, sci-key, MLflow, Kubeflow, TensorFlow. DVC pipeline workflow lifecycle tooling.

13. F

    F5 · Contract

    • Product Strategy - AI ML AntiBot Security portfolio - 50 Million users

      Jan 2021 - Jun 2022 · 1 yr 6 mos·San Francisco Bay Area

      >SHAPE Security was acquired by F5 Networks for $1Billion: https://www.shapesecurity.com The industry's best ML driven Anti-BOT Defense platform with the highest anti bot mitigation efficacy. The F5 integrated SHAPE platform leverages LLMs, ML LLM's and Gen AI to identify, classify & characterize BOT security threats, synthetic behaviors, exploit vectors, Human & non-Human actors. - in Real-time. My products protect mobile, web, Appl and API streams in real time over 3.0 Billion attack streams/vectors per day. - At web scale, for the top fortune 100 most trusted global brands. F5 Ai/ML powered Anti-Bot Defense delivers real-time and near-real-time supervised and unsupervised decision-making insights and exploit mitigations to secure Web properties, Applications, API's and consumer trust. ✧ I own the Anti-BOT Mgmt GTM strategy for the Shape Security/F5 Bot Defense Platform (SaaS, Hybrid, native BIG-IP Integrated Bot services, connector API's and Bot App portfolio). I serve as the core GTM leader across Prod Mgmt + Prod Mktg for the full portfolio of F5 BOT Mgmt products. Skills: Analytical Skills · Team Management · Product Management · Data Lineage · Problem Solving · Storage Virtualization · Case Studies · User Stories · Attention to Detail · Data Quality · Metadata · Leadership · Data Architects · Market Analysis · Data Access · Program Management · Communication · Marketing

14. A

    APTARE

    • Board Advisor

      Jun 2018 - Jun 2019 · 1 yr 1 mo·San Francisco Bay Area

      Product & business strategy Board adviser. > Acquired by Veritas March 2019. APTARE is the global leader in the ITOA Hybrid Cloud Data Analytics, Data Insight space. - Unique, unequaled &brilliant focus on Deep Data Science driven analytics for cloud data sores. - Out of the top 30 players in this space, no other product even comes close! https://www.veritas.com/news-releases/2019-03-06-veritas-acquires-aptare-to-enhance-the-analytics-reporting-and-protection-of-enterprise-data Skills: Analytical Skills · Team Management · Product Management · Data Lineage · Problem Solving · Storage Virtualization · Case Studies · User Stories · Attention to Detail · Data Quality · Metadata · Leadership · Data Architects · Market Analysis · Data Access · Program Management · Communication · Marketing

15. K

    Kmesh.io

    • Board Advisor

      Jun 2018 - Jan 2020 · 1 yr 8 mos·San Francisco Bay Area

      Product & business strategy board adviser. > Acquired - Jan 2020. Multi-Cloud Data Mobility service between Core and Edge regardless of physical, logical or sovereignty restrictions. Beautiful API-1st Cloud-1st experience. Integrated into Amazon AWS data services. Skills: Analytical Skills · Team Management · Product Management · Data Lineage · Problem Solving · Storage Virtualization · Case Studies · User Stories · Attention to Detail · Data Quality · Metadata · Leadership · Data Architects · Market Analysis · Program Management · Communication · Marketing

16. V

    Veritas Technologies LLC · Full-time

    • Director of Product - Data, Cloud, AI M/L & Growth

      Apr 2017 - Jan 2020 · 2 yrs 10 mos·San Francisco Bay Area

      > Acquired - $7 Billion I own Product Mgmt strategy & PM execution for our Cloud Data application stack, architecture & ecosystem. I lead a portfolio-wide PM product team for vision, strategy, product architecture for Data platforms, Realtime data streaming, Analytics, AI ML & our Data science frameworks. - I own the fastest growth product in the company: ARR of $170MM in year 1 from $0 @launch. - Conceived & executed our most successful product growth strategy. +55% CAGR in a $10B mkt. - Founded & built AI M/L team (5 PhD ML researchers). Set PM strategy for our ML & AI portfolio. - PM ownership of our API strategy across the full product App stack (17+ apps). - I drive Competitive Intelligence for new high-growth products. - Interim lead of UX team, delivering impactful beautiful modern App experiences. - PM lead for Cloud partnership with Amazon AWS, Azure, Google, Snowflake. - Lead growth & engagement for our API Developers, ISV's & App integration partnerships. I strategically set & drive the cloud, data & Gen AI roadmaps. My PM team executes across entire app portfolio (17+ apps), the cloud/data ecosystem & multiple data store stacks. Including Hadoop & cloud-hosted Spark, AWS Kinesis (full ecosystem), AWS Redshift & DynamoDB, our Kafka stream processing platform; all VPC hosted and on-prem GPU infra and LLM Model plaforms. Skills: Analytical Skills · Team Management · Product Management · Data Lineage · Problem Solving · Storage Virtualization · Case Studies · User Stories · Attention to Detail · Data Quality · Metadata · Leadership · Data Architects · Market Analysis · Data Access · Program Management · Communication · Marketing

17. V

    Veritas Technologies LLC

    • Director of Product - Data, Cloud, AI M/L & Growth

      San Francisco Bay Area

      > Veritas was Acquired by Cohesity for $7 Billion I ran a global multidisciplinary team of 50 Technical Prod Mgrs, M/L AI PhD researchers, Cloud/SaaS Biz-Dev architects, UX & Design teams & the Competitive engineering team. - Managed product strategy for the worlds #1 Enterprise SaaS Data Protection platform. My products managed data at 91% of Fortune 100 companies. - Pioneered co-invented company’s first AI ML model training, data labeling/classification and model curation platform (with Google AI GPT team). Launch first industry deployment of SaaS Customer Support Chatbot, on Amazon AWS. - Own, Define, launch fastest growing v1.0 product in company history; $0 - $350M rev - Built and direct M/L AI LLM team of 9 PhD AI researchers & M/L engineers. (Tech PM for team) managing ML Model curation, definition, training, distillation, test, measure running in AWS on early MindsDB ML platform, AWS ML services and GCP Vertex ML tools. - Conceive and execute acquisition for product to drive $100M net-new license revenue, to turnaround a declining business to +20% growth in 1 year. - Joint Venture with <#1 on-line payment SaaS company PYPL> co-designer, builder and deploy SaaS Data Warehouse Fraud analytics and ETL pipelines based AWS Data & ML services. Project stack: Agentic RAG solutions AWS RDS for PostgreSQL. RAG Data pipelines ingest pre-processing using AWS SageMaker, AWS Textract. Agentic AWS EC2 + Lamba compute dev/prod & EGS (Elastic GPU Service) with AWS S3, EBS, EFS MLops storage services. MLops DVC lifecycle integrations.

18. S

    Shoplitix, Inc.

    • Co-founder, Head of Product Mgmt

      Dec 2014 - Dec 2015 · 1 yr 1 mo·San Francisco Bay Area

      > Acquired by large US retailer. A B2C/B2Me platform that converges Mobile shopping + Retail E-commerce BI, Enabling new ways for eCommerce to happen with the best possible outcome for both sides. Product is: A Mobile App matching marketplace between shoppers and retailers. Real-time competitive retail flow as part of the natural mobile app shopping experience. AI/ML augmented product search & analytics platform with intuitive engaging mobile app experience. A BI platform that derives Data science insights from consumer mobile app patterns & metrics. I co-founded/co-developed initial v0 product concept, idea, business & revenue models, product strategy, MVP Product Mgmt strategy and co-designed initial MVP concepts, Mobile App, architecture, FinTech payment providers back-end architecture & business model. - Lead Product design & UX teams for Mobile and BI platform apps - Drive PM MVP prototype experiments via Data Science in-app instrumentation metrics - Prototype Datastore architectures (MySQL / MongoDB / DynamoDB / Redis / Memcache) - Design Data science inference framework (Hadoop, Cloud hosted Spark, AWS RedShift, ElasticSearch) + compute & streaming infra (Kafka, Storm, Kinesis) - Orchestrate Business & Product integrations with ecommece/Fintech partners (e.g Amazon, Rakuten, Alibaba.com, EBay, Walmart, Target, KMart, BestBuy, AT&T, Verizon, Stripe, BofA, JPMC, PayPal, Payoneer, Square) Skills: Analytical Skills · Team Management · Product Management · Data Lineage · Problem Solving · Storage Virtualization · Case Studies · User Stories · Attention to Detail · Data Quality · Metadata · Leadership · Data Architects · Market Analysis · Data Access · Program Management · Communication · Marketing

19. E

    EMC XtremIO

    • Director of Products - All-Flash DataLake platform - $1Billion v1.0 rev in 544 days

      Dec 2014 - Apr 2017 · 2 yrs 5 mos·San Francisco Bay Area

      > Acquired by EMC for $420MM. Revenues exceeded acquisition cost in 1st year. All-Flash Data platform : Go-to-to-Market software Product Mgmt, Product design & strategy. ISV Dev alliances ownership. - Drove scale-up GTM growth & revenue that moves-the-needle. - I joined XtremIO when we had $0 revenue, no customers & ~10 people in the US. - In our first 12 months of selling our product, we achieved $530MM - We broke through $1B revenue in 544 days - We exceeded $1.2B in our 2nd full year of the product being in the market. - We exceeded $1.6B in our 3rd year and attained ~50% market share ownership. - We're the fastest growing enterprise data mgmt product to achieve $1B revenue in history, since the disk-drive was invented. I owned & drove 75%+ of the early use-case growth strategies. I own new use-case development (Enterprise Data collaboration, High-Perf distributed Databases, Cloud & SaaS, DevOps, CI/CD, SAP (Hadoop/legacy/Hana), Container services, Software Dev & ISV engagement. I mentored new Product PM's & Solutions Mktg on how to develop & execute product/growth/user-engagement strategies at our fast Billion $ ARR pace. > Startup team PM specializing in multiply our growth rate into Billion $ revenue generators. Skills: Analytical Skills · Team Management · Product Management · Data Lineage · Problem Solving · Storage Virtualization · Case Studies · User Stories · Attention to Detail · Data Quality · Metadata · Leadership · Data Architects · Market Analysis · Data Access · Program Management · Communication · Marketing XtremIO's rocketship path to $1Billion How to build a Rocketship business

20. H

    Hedvig Inc.

    • Head of Product Mgmt & Mktg

      Dec 2013 - Dec 2014 · 1 yr 1 mo·San Francisco Bay Area

      > Acquired by Commvault in 2019 for $225MM. - 1st non-engineering team hire. Employee #5. Joined with v0 product at 25% complete state. Reporting to CEO/Founder. - Drive definition of v0 to v1.0 initial GTM product through customer experimentation & validation. - Drive and close initial funding events (Seed and Institutional A-round) - Built from ground-up, initial Product Mgmt, Product Mktg team, Product Design UX/UI team - Own and drive initial product strategy, Go-to-Market strategy, Partner strategy, MVP strategy - Define, drive and execute initial customer product MVP & Lean validation strategies. - Drove key Product & strategy pivots where MVP experiments revealed critical discoveries - Drive Analytics & Data-driven Product Mgmt Agile decision making Dev/Eng process - Recruit for all teams - PM, Dev/Eng, Design, Mktg, Sales, Solution Eng, CX/Support, Biz Dev/Alliances - Define and drive initial (very early) Marketing, social, media, analysts programs Skills: Analytical Skills · Team Management · Product Management · Data Lineage · Problem Solving · Storage Virtualization · Case Studies · User Stories · Attention to Detail · Data Quality · Metadata · Leadership · Data Architects · Market Analysis · Data Access · Program Management · Communication · Marketing

21. P

    Panzura

    • Head of Product Managment - Cloud Data Platforms

      Apr 2011 - Nov 2013 · 2 yrs 8 mos·San Jose, CA

      - Acquired : Profile Capital Management Early founding member (Empl #18). Heading up Product Management, strategy and roadmap. Reporting to founder/CEO. A pioneering Enterprise Cloud Data Management and IaaS provider. We uniquely solved the Global Enterprise Team collaboration problem for Hybrid cloud. Our secure, distributed IaaS platform enables anywhere & everywhere beautiful Team collaboration experience at high-performance, in the cloud, on desktop, browser or mobile. The Panzura product integrates with: Amazon Web Services, Microsoft Azure, Google Cloud Platform, IBM Cloud & IBM Cleversafe, HGST Amplidata, AT&T Cloud, EMC/Dell Viturstream & EMC Atmos, Scality RING, Softlayer, (*HP Cloud Services & *Nirvanix). Skills: Analytical Skills · Team Management · Product Management · Data Lineage · Problem Solving · Storage Virtualization · Case Studies · User Stories · Attention to Detail · Data Quality · Metadata · Leadership · Data Architects · Market Analysis · Data Access · Program Management · Communication · Marketing

22. S

    Synteryx, Inc.

    • Co-founder, Head of Product & Services

      Jan 2010 - Jun 2016 · 6 yrs 6 mos·San Francisco Bay Area

      Fintech software & services startup. > Specializing in Settle + Reconcile, Matching, Multi-currency Payouts, Payout timing, Mobile payments, mobile deposits, international money transfer, Multi-vendor cross-border transactions. Multi-vendor API integration. - Customers/Partnerships: AirBnB, WellsFargo, JPMChase, Bank of West, BNP Paribas, ReconArt, Fiserv, BlackLine Skills: Analytical Skills · Team Management · Product Management · Data Lineage · Problem Solving · Storage Virtualization · Case Studies · User Stories · Attention to Detail · Data Quality · Metadata · Leadership · Data Architects · Market Analysis · Data Access · Program Management · Communication · Marketing

23. R

    Riverbed Technology, Inc.

    • Product Mgmt & Strategy, Cloud, Data and Enterprise Apps

      Oct 2006 - Apr 2011 · 4 yrs 7 mos·San Francisco Bay Area

      Product Management/Owner for Data, Storage and Cloud app business. Hands-on deep Product operational ownership for new products and new business growth. Specializing in application enterprise application data workflows, data virtualization, Scale out data workflow, Acceleration & Optimization of application data, Cloud compute, Cloud storage data and Cloud Applications. Reporting directly to VP/GM of New Products. - 1st non-eng PM hire into Data & Storage business. Working directly with Founder - Drive expansion into net-new adjacent markets & scale new product revenues. - Founding member of Cloud business pivot (Whitewater, Granite, Atlas (Corsica) products - (In parallel) PM Product Owner of all Application data & storage products and multiple follow-on products & features in our core $B/business - Riverbed Steelhead platform - Drive early PM strategy for new product ideas, designs, concepts. Drive & close exec buy-in + funding of multiple new product concepts - Drive PM customer MVP Data Science experiments & business experiments - Drive MRD/PRD, Product Design Specs. Run MVP, Alpha, Beta, Launch, Ramp programs - Deliver 100's of early reference-able customer wins to drive early product momentum - Develop cloud SP partner relationships establishing growth/product route-to-market - PM owner of new product launches, developed launch collateral, sales tools, partner tools, pricing models, ordering & SKU models, Pre-launch product training, TOI's, Sales training Skills: Analytical Skills · Team Management · Product Management · Data Lineage · Problem Solving · Storage Virtualization · Case Studies · User Stories · Attention to Detail · Data Quality · Metadata · Leadership · Data Architects · Market Analysis · Data Access · Program Management · Communication · Marketing

24. H

    Hitachi Vantara

    • Technical Director, Product Mgmt & Strategy -Enterprise Data warehouse systems

      Jan 2003 - Oct 2006 · 3 yrs 10 mos·New York City Metropolitan Area

      Technical Director, Product Mgmt, Prod Strategy. Focused on nurturing high-value strategic product application partner relationships with NYC Wall Street, FinTech & Credit Card processors. Driving CTO office PM leadership in our NYC Wall street markets and within our Global FinTech partners. Hands-on full-stack PM in areas of Distributed cloud data stores, Distributed data architectures and Infra. Distributed scale-out compute. Specialized in FinTech appl architecture for IB, Retail & Credit Card transactions, Treasury & OTC Trading for: NYSE, NASDAQ, JPMC, BankOne, Bank of America, CitiBank, MorganStanley, Bank of New York Mellon, WellsFargo, US Bancorp/U.S. Bank, PNC, State Street, Capital One, BlackRock, TD Bank, CreditSuisse, Goldman, Deutsche Bank, HSBC, UBS. Skills: Analytical Skills · Team Management · Product Management · Data Lineage · Problem Solving · Storage Virtualization · Case Studies · User Stories · Attention to Detail · Data Quality · Metadata · Leadership · Data Architects · Market Analysis · Data Access · Program Management · Communication · Marketing

25. V

    Venture Vouchers

    • Co-founder, Head of Products, Business Dev & Marketing

      Jan 2002 - Dec 2008 · 7 yrs·San Francisco Bay Area

      > Acquired by a #1 European travel group A Social e-Commerce marketplace focused on Travel Experiences. A pioneering social collective bargaining marketplace/platform servicing high volume tourism verticals. The platform connects global users to local suppliers/retailers and provides access to deep discounted time-limited localized experience deals that map onto the buyer’s vacation, travel & purchasing social graph. The platform provides analytics and rich beautiful BI experiences, that enable vendors to plan marketing campaigns, reach consumers & target communities. Customers monetize unique discounted services via a Mobile app QR code coupon. Skills: Analytical Skills · Team Management · Product Management · Data Lineage · Problem Solving · Storage Virtualization · Case Studies · User Stories · Attention to Detail · Data Quality · Metadata · Leadership · Data Architects · Market Analysis · Data Access · Program Management · Communication · Marketing

26. B

    Brocade Communications

    • Sr. Product Manager - Enterprise Data Apps / Data Fabric / Data Services

      Jan 2001 - Dec 2002 · 2 yrs·San Francisco Bay Area

      > Acquired by Broadcom (NASDAQ: AVGO) for $5.9B Strategic Product ownership for software strategy. covering distributed data network fabric software, software applications and rich O/S services, API's, Distributed server-side core platforms services, and partner App/API/SDK integration. PM owner for software Product strategy, GTM, Growth & Partner services strategy. Drive Product road-map, Marketing road-map. Skills: Analytical Skills · Team Management · Product Management · Data Lineage · Problem Solving · Storage Virtualization · Case Studies · User Stories · Attention to Detail · Data Quality · Metadata · Leadership · Data Architects · Market Analysis · Data Access · Program Management · Communication · Marketing

27. A

    AT&T

    • Snr. Director Product - Enterprise Cloud Data Services

      Jan 2000 - Jan 2001 · 1 yr 1 mo·San Francisco Bay Area

      > USInternetworking (NASDAQ: USIX) acquired by AT&T for US$1B. Re-branded as AT&T Cloud Services. - USI was the first “software cloud" company, built to deliver Enterprise-grade Cloud SaaS, IaaS and PaaS. I was a pioneering founding member of the Enterprise Cloud Architecture & Product leadership teams, reporting to SVP Product Mgmt. Product Mgmt ownership for cloud data services, Enterprise Data security, Data availability and Data management for enterprise-grade Cloud applications. Product owner, architect and operations director for SaaS apps: ERP, CRM & Data Warehouse as a service. Early evangelizing PM of the Siebel CRM (Oracle) cloud AT&T offering, - AT&T Cloud's highest MRR SaaS Enterprise cloud application ever. Skills: Analytical Skills · Team Management · Product Management · Data Lineage · Problem Solving · Storage Virtualization · Case Studies · User Stories · Attention to Detail · Data Quality · Metadata · Leadership · Data Architects · Market Analysis · Data Access · Program Management · Communication · Marketing

28. I

    IBM · Full-time

    • Sr. Product Manager - Watson AI Data platform

      Jan 1997 - Dec 2000 · 4 yrs·San Francisco Bay Area · On-site

      ✧ I was a Product Mgr for secret IBM Watson AI/ML prototype project (which became IBM Watson X). Specializing in the PM definition of high performance Memory / data / Compute services for IBM DeepQA technology within the IBM Watson AI/ML platform. Driving the project's transition to opensource LINUX based Watson DeepQA ML and early cloud versions of the IBM DeepQA Watson M/L product. ✧ Pioneering member of early IBM Cloud Business with Product Mgmt ownership for Distributed scale-out HPC Compute, Data stores, Databases and Data Warehouse cloud services. Specific product expertise in scale-out Data Mgmt, distributed data applications and data pipelines. ✧ My commercial focus within IBM was on PM leadership with Wall street firms and massive scale-up / scale-out compute + data platforms of FinTech applications for Invest Banking, Credit Card services, Retail Banking, Treasury & OTC Trading app infrastructure, - Specializing in Data Analytics, Inferences and Predicative computations via large HPC systems. Skills: Analytical Skills · Team Management · Product Management · Data Lineage · Problem Solving · Artificial Intelligence (AI) · Storage Virtualization · Case Studies · User Stories · Machine Learning · Attention to Detail · Data Quality · Metadata · Leadership · Data Architects · Market Analysis · Data Access · Program Management · Communication · Marketing

29. I

    IBM

    • Sr. Product Manager - Watson.AI Data platform

      San Francisco Bay Area

      > IBM Watson.AI Snr PM in IBM HPC Supercomputer group architecting IBM Watson.AI ML model training Database-integrated ML data platform & data labeling/classification services. - Product design for HPC Data infra for LLM data inference services utilizing RDMA Data memory systems, HPC File Systems (Block, SAN, NAS, DAS, Object & RAM/Mem storage), RDMA HPC Database services for Watson.AI MLops model training platform. - PM for IBM DeepQA and IBM Watson AI/ML transition to opensource Watson.AI.X DeepQA M model training framework stack; covering full and ML toolchain (PyTorch, Triton, MLflow, DVC, model lifecycle mgmt, Model Registry, Model Experiment tracking). - Execute Product strategies to drive $250M product revenue from AI SaaS services. - Invented Watson.AI Data Lineage Model Drift data tracing platform, saving +$25M/year - Leadership to drive $100M SaaS customer revenue sales wins from Wall St customers. - Support Watson AI Designers & engineers delivering 10 production deployed ML model releases Project stack: Watson.x Data fast ETL pipelines, Watson.x Data Vector, OpenShift Hybrid GPU compute infra, PyTorch, Ray, CodeFlare, MLops with MLflow, DVC, Kubeflow, ModelMesh, DB2, Db2,AWS S3, RDS

30. N

    NYSE Technology Div.

    • Director Product Mgmt - Data platform / Data Science / Data Visualization plaftorm

      Greater New York City Area

      Product Mgmt ownership NYSE Realtime trade transaction architecture (web, mobile & API). Specialty in NYSE Datascience framework, Developer/Partner Fintech API architecture & the overall NYSE streaming data network, PM for Live streaming exchange data API, Realtime pricing / price streaming system, Realtime trade execution, Data Security and Offline Fraud detection framework. PM ownership of NYSE distributed databases & data-stores infra, distributed compute infra, distributed streaming data/message infra & distributed pricing engine. Product Mgr owner of NYSE partner/developer/ISV integration program and NYSE API platform, systems & services which enable external edge/remote trading firm/traders to execute/clear exchange rated Financial transactions via NYSE systems.

31. E

    Eurotunnel/Eurostar UK

    • Sr. Manager Enterprise Systems

      Early founding member (Emp #50). Manager of European wide business systems software platform. Covering global scale-out core eCommerce business applications, POS transaction systems & Financial Regulatory Data systems. Product definition, Engineering & development. Market delivery Manager of European Production operation & strategy. Advisor to Product Strategy board, Engineering Technology board & COO.

Education

1. ?
   Executive Education program , Data Science & Statistics, Data Science & Statistics

   Data8.1x : Data Science : Computational thinking, statistics, analytics / Python Data8.2x : Data Science : Inferential Thinking by Resampling & visualizations / Python

2. 
   UC Berkeley Electrical Engineering & Computer Sciences (EECS)Executive Education program, Data Science & Statistics2017 - 2019

   Data8.1x : Data Science : Computational thinking, statistics, analytics / Python Data8.2x : Data Science : Inferential Thinking by Resampling & visualizations / Python Skills: Data Quality · Data Architects · Data Access · Communication · Market Analysis · Attention to Detail · Data Lineage · Problem Solving · Analytical Skills · Case Studies · Metadata

3. ?
   Product Mgmt for Data Science & AI/ML, Computer Science, Computer Science

   - Agile Product Mgmt ** CERT: https://www.udemy.com/certificate/UC-929cf406-693c-4423-bfa3-ea2e129515a1/ - Product Mgmt for AI/ML & Data Science ** CERT: UC-48791432-753a-40f0-a5e6-defe7ca81602 - Python for Data Science and Machine Learning Bootcamp ** CERT: UC-5e1aa871-56bb-4528-a474-2c3484941eaf - Data Science A-Z : Real-Life Data Science ** CERT: UC-91e3f63e-bc59-4b43-b082-4e8310a03004 - Data Science and Machine Learning Bootcamp with R - Statistics for Data Science and Business Analysis

4. 
   Massachusetts Institute of TechnologyEntrepreneur & Exec programs, Biochemistry and Molecular Biology2016 - 2017

   MIT LaunchX Entrepreneur program MIT undergraduate Biochemistry, Molecular biology, and Genetics MITx: 7.00x Introduction to Biology - The Secret of Life MITx: 7.28.1x Molecular Biology: DNA Replication and Repair MITx: 7.28.2x Molecular Biology: Transcription and Transposition MITx: 7.28.3x Molecular Biology: RNA Processing and Translation MITx: 20.305x Principles of Synthetic Biology Skills: Data Quality · Data Architects · Data Access · Communication · Market Analysis · Attention to Detail · Data Lineage · Problem Solving · Analytical Skills · Case Studies · Metadata

5. ?
   Entrepreneur & Exec programs, Biochemistry and Molecular Biology, Biochemistry and Molecular Biology

   MIT LaunchX Entrepreneur program MIT undergraduate Biochemistry, Molecular biology, and Genetics MITx: 7.00x Introduction to Biology - The Secret of Life MITx: 7.28.1x Molecular Biology: DNA Replication and Repair MITx: 7.28.2x Molecular Biology: Transcription and Transposition MITx: 7.28.3x Molecular Biology: RNA Processing and Translation MITx: 20.305x Principles of Synthetic Biology

6. U
   Udemy onlineProduct Mgmt for Data Science & AI/ML, Computer ScienceJan 2016 - Sep 2022

   - Agile Product Mgmt ** CERT: https://www.udemy.com/certificate/UC-929cf406-693c-4423-bfa3-ea2e129515a1/ - Product Mgmt for AI/ML & Data Science ** CERT: UC-48791432-753a-40f0-a5e6-defe7ca81602 - Python for Data Science and Machine Learning Bootcamp ** CERT: UC-5e1aa871-56bb-4528-a474-2c3484941eaf - Data Science A-Z : Real-Life Data Science ** CERT: UC-91e3f63e-bc59-4b43-b082-4e8310a03004 - Data Science and Machine Learning Bootcamp with R - Statistics for Data Science and Business Analysis Skills: Data Quality · Data Architects · Data Access · Communication · Market Analysis · Attention to Detail · Data Lineage · Problem Solving · Analytical Skills · Case Studies · Metadata

7. ?
   Bachelor of Business Administration (B.B.A.), Management Information Systems, Management Information Systems

   Partially complete

8. 
   Massey UniversityBachelor of Business Administration (B.B.A.), Management Information Systems1989 - 1991

   Grade: : Partially complete. Activities and societies: San Francisco Silicon Valley Alumni Partially complete Skills: Data Quality · Data Architects · Data Access · Communication · Market Analysis · Attention to Detail · Data Lineage · Problem Solving · Analytical Skills · Case Studies · Metadata

Skills