Daniel Galati

Product Manager

Toronto, Ontario, Canada13 yrs 3 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Led teams delivering AI-driven platforms.
Built mechanisms for team development and accountability.
Created technical content for 250K YouTube subscribers.

Stackforce AI infers this person is a SaaS-focused engineering leader with expertise in AI-driven systems and team development.

Contact

Skills

Core Skills

LeadershipProduct ManagementData EngineeringTechnical StrategySoftware DevelopmentFullstack DevelopmentWeb DevelopmentData Analysis

Other Skills

Anomaly DetectionMarketplace TrustProduct DeliveryLeadership DevelopmentTechnical ArchitectureRoadmap ExecutionAI-driven ForecastingCapacity ManagementResource PlanningMachine LearningForecastingWorkflow AutomationAI IntegrationSystem DesignCross-Company Initiatives

About

I’m an engineering leader with 10+ years at Amazon, where I’ve built and led multiple product engineering organizations delivering large-scale systems in forecasting, capacity management, and marketplace trust. I focus on creating clarity from ambiguity — aligning business goals with strong technical architecture and building teams capable of delivering durable results. My leadership philosophy centers on raising the bar: developing managers, mentoring engineers, and instilling a culture of accountability and long-term thinking. I’ve led organizations that launched high-impact platforms leveraging data and AI, driving measurable improvements in utilization, cost efficiency, and customer experience. Beyond shipping systems, I build mechanisms that help teams think broadly, simplify effectively, and execute with purpose. Outside of Amazon, I share what I learn through a YouTube channel with over 250K subscribers, where I teach software engineering best practices, system design, and AWS fundamentals. Creating technical content helps me sharpen how I communicate complex ideas simply — a skill I apply daily when guiding teams and influencing senior stakeholders. I’m motivated by building high-performing teams, simplifying complexity, and creating technology that scales both systems and people.

Experience

13 yrs 3 mos

Total Experience

2 yrs 10 mos

Average Tenure

8 yrs 7 mos

Current Experience

Amazon

4 roles

Software Development Manager, Driver Performance

Promoted

Sep 2023 – Present · 2 yrs 8 mos

Lead a 25-person organization (3 managers, 4 teams) responsible for the systems that assess, coach, and safeguard driver quality and marketplace trust. I focus on scaling product delivery while simplifying core platforms and developing future leaders.
Protected revenue by leading the design and delivery of an anomaly detection platform that automatically detected abusive drivers, improving customer safety and marketplace reliability.
Defined and executed a multi-year simplification roadmap that reduced technical complexity and accelerated innovation across multiple product lines.
Built leadership capacity, growing three engineering managers and creating mechanisms for talent development, performance management, and succession planning.

Anomaly DetectionMarketplace TrustProduct DeliveryLeadership DevelopmentLeadershipProduct Management

Software Development Manager, Capacity Planning & Management

Promoted

Sep 2023 – Apr 2025 · 1 yr 7 mos

Directed two engineering teams (12 engineers) building AI-driven forecasting and capacity management systems used to optimize resource planning worldwide. Partnered with product, data science, and operations to align technical investment with strategic business needs.
Delivered global forecasting and capacity platforms that improved utilization by 27%, supported 15+ active ML models, and generated $100M+ in annual savings.
Implemented and launched a capacity prediction/resolution workflow algorithm, setting a new standard for planning speed and accuracy.
Established a 3-year vision and resource plan for evolving both capacity management and planning systems in response to emerging business demands.

AI-driven ForecastingCapacity ManagementResource PlanningMachine LearningData EngineeringProduct Management

Sr. Software Engineer, Driver Engagement

Promoted

Aug 2021 – Jan 2022 · 5 mos · Toronto, Ontario, Canada

Led development of Amazon’s first scalable Driver Promotions system, transforming a manual, email-based process into a dynamic, automated platform that optimized engagement through AI integration.
Built and launched the Driver Promotions platform, automating 50k+ promotions per month and delivering cost savings while increasing driver engagement.
Partnered with product and data science teams to define the full technical architecture, enabling rapid future expansion across business lines.
Mentored engineers and led cross-company initiatives to improve engineering health and resiliency through structured learning from post-mortems.

AI IntegrationSystem DesignCross-Company InitiativesSoftware DevelopmentProduct Management

Software Development Engineer

Jan 2016 – Jul 2021 · 5 yrs 6 mos · Toronto, Ontario, Canada

I wore many hats on many teams ranging from Driver Identity, Session Management, Performance Tooling, and many more.

Bluedot

Software Engineer

Jan 2014 – Jan 2016 · 2 yrs · Toronto, Canada

Fullstack developer of a Angular/Kendo MVC web based application used by international government agencies.
Leverage knowledge of GIS technology to create reusable and scalable mapping components.
Actively pursue and test new technologies emerging in front end web development to encourage adoption.
Technologies used include: Javascript, Typescript, KendoMVVM, AngularJS, C#, SQLServer, Entity Framework, Team Foundation Server, Gulp, Grunt.

AngularKendo MVCGIS TechnologyFullstack DevelopmentWeb Development

Environics analytics

Custom Research Analyst

Apr 2013 – Sep 2013 · 5 mos

Ryerson university

Research Assistant

Sep 2012 – Sep 2014 · 2 yrs

Worked with a team to develop a web based mapping application used to analyze India's business landscape.
Applied programming knowledge to collect, clean, re-factor and aggregate data.
Technologies used include: Python, Javascript, LeafletJS, PHP, MySQL.

Web MappingData CleaningData AggregationData AnalysisWeb Development