Abhi Ram

Software engineering, product, and platform executive with 26+ years leading enterprise SaaS, cloud, data, AI, ERP, and developer-platform organizations across AWS, Amazon, Cognite, FlexAI, IBM, Intel, and founder-led ventures. Builds engineering organizations and platform-wide standards that improve quality, availability, performance, security, developer productivity, customer adoption, and cost efficiency. Experienced in product strategy, roadmap prioritization, commercialization, partner ecosystems, and field-to-engineering feedback.

Led global teams of 20-150+, including managers of managers, while influencing $300M+ in ARR, a $200M+ pipeline, and 2,000+ enterprise modernizations. Delivered $1B+ in cumulative impact, reduced deployment cycles by 60%, cut manual workflows by 45%, and increased engagement by 30-40%.

Executive Advisor - Platform Engineering, Product & AI Strategy at Wolters Kluwer Enablon (2026-01 – Present)

Advise Product and Engineering CxOs on an enterprise platform for regulated workflows, defining architecture, secure AI delivery, data governance, roadmap sequencing, release controls, reliability, adoption, and executive value metrics.

• Shape AI-native SDLC patterns, evaluation gates, monitoring, human oversight, production readiness, and commercialization priorities for a global SaaS portfolio.

Co-Founder & Chief Product / Technology Officer at Loop8x - AI-Native SaaS Platform (2026-01 – Present)

Own product vision, engineering architecture, roadmap, partner strategy, and GTM for a 0-to-1 AWS platform spanning microservices, APIs, event-driven workflows, model orchestration, security, observability, CI/CD, evaluations, SLOs, and cost governance.

• Establish technical standards, launch criteria, telemetry, developer workflows, vendor controls, customer journeys, pricing assumptions, and adoption metrics.

Executive Advisor & Global VP - AI Product and Platform Engineering at Cognite, FlexAI, IntuigenceAI, Appen (2023-01 – 2026-01)

Led Cognite Atlas AI and Data Fusion product and platform execution across governed industrial data, semantic services, knowledge graphs, multi-cloud AI, MLOps, DevOps, access control, observability, and reliability. Delivered $30M ARR, 30-40% engagement growth, and 20% lower churn.

• Built evaluation, release, monitoring, customer-feedback, and value-realization mechanisms that moved experimental capabilities into enterprise production and reduced manual workflows 45%.
• Recruited and developed 20–45-person product, engineering, data, MLOps, SRE, TPM, solutions, and customer-success teams. Established architecture, quality, roadmap, adoption, and operational-review cadences.
• Shaped FlexAI product and engineering strategy for distributed training, inference, workload orchestration, and cloud economics. Partner motions with NVIDIA, Dell, Cisco, AWS, Azure, and GCP contributed $20M ARR and $10M+ customer savings.

Director / Head of Product, Engineering, Services & Alliances - Data, AI and Enterprise Platforms at Amazon Web Services (2019-01 – 2023-01)

Led 100+ engineering, product, architecture, TPM, solution, and partner leaders across a $300M+ ARR-influenced portfolio and $200M+ pipeline. Set technical strategy, product roadmaps, investment priorities, operating mechanisms, organization design, and talent standards.

• Operationalized engineering excellence across SageMaker, Bedrock, Textract, Redshift, S3, Lambda, API Gateway, Cognito, and enterprise workload services using CI/CD, release controls, architecture reviews, SLOs/SLIs, observability, incident readiness, security reviews, and performance dashboards.
• Pioneered Launch Wizard, Backint Agent, AWS Backup integrations, ABAP SDK/API patterns, migration services, and Well-Architected playbooks, enabling 2,000+ enterprise modernizations and influencing $300M+ ARR while improving deployment consistency and operator experience.
• Converted customer and field insights into roadmaps, reference architectures, launch plans, pricing inputs, technical content, and partner solutions. Generated $50M+ AI/data ARR, increased active usage 35%, and accelerated strategic deal cycles 10x.
• Built co-sell motions with Salesforce, SAP, Databricks, Palantir, NetApp, Datadog, GSIs, and public-sector partners. Partnered with Sales, Marketing, Customer Success, Finance, Security, and CxO customers to improve adoption and resolve systemic escalations.
• Ran QBRs, operational reviews, launch-readiness mechanisms, path-to-green plans, and executive scorecards spanning quality, availability, adoption, security, performance, cost, and customer outcomes. Served as AWS Bar Raiser.

Senior Manager - Product and Software Engineering, Data Platforms & Operations at Amazon eCommerce (2015-01 – 2019-01)

Led 50+ product, engineering, data-science, and operations leaders across marketplace, retail, fulfillment, delivery, seller, and customer platforms serving 100M+ shoppers and 50,000+ sellers.

• Delivered 14+ products across data lakes, APIs, automation, computer vision, predictive systems, and operational tooling, improving retention 20-30% and contributing 15% YoY revenue growth.
• Built Golden Eye computer-vision and telemetry capabilities that prevented or resolved 10M+ package-loss incidents through better observability, exception detection, and operational controls.

Engineering and Technology Leadership at IBM (1999-01 – 2015-01)

Managed a $20M+ P&L and 150-person engineering, architecture, consulting, and delivery organization. Led solution strategy, quality controls, executive governance, and account expansion, improving efficiency by 15%.

Engineering and Technology Leadership at Olam and Intel (1999-01 – 2015-01)

Led ERP, CRM, data, manufacturing, supply-chain, warehouse, finance, and continuity platforms across five countries and four acquisitions, improving operations 25%.

Founder at Focus Infotech (1999-01 – 2015-01)

Founded, engineered, commercialized, and scaled a Java retail software platform later acquired by HP.

B.E. in Industrial Engineering & Management – Bangalore University

Executive Program – IIM Bangalore