Connor Tluck

Product Manager • Strategic Account Executive • Solutions Engineer

Product Manager focused on building data-centric AI products. Partnering with annotation, engineering, and sales teams to turn customer objectives into scalable human-in-the-loop solutions that power next-generation model development.

View Work Download Resume
Connor Tluck

About

I am an avid learner who thrives in environments where no two days are the same. Throughout my career, I've worn many hats, from civil engineer to solutions engineer, to product manager.

Through this process I discovered that my greatest strength lies in adapting quickly, finding clarity in complex challenges, and turning ideas into measurable results. I excel in the fast pace of a startup, yet know when to slow down, dig into the details, and solve problems at their root.

Product Management Geospatial AI Computer Vision

Resume

Education

University of Connecticut

B.S.E. in Civil Engineering • 2012-2016

Udemy Complete Python Bootcamp

Udemy • 2020

Udemy Python for Data Science Bootcamp

Udemy • 2020

Skills

Programming & Development ▼

Python JavaScript NodeJS HTML5/CSS3 REST APIs Flask/FastAPI Pandas/GeoPandas MongoDB PostgreSQL AWS PyQt PyMongo Folium Data Analysis Sentiment Analysis

Geospatial & Mapping ▼

ArcGIS Pro QGIS Mapbox Mapbox GL JS OpenLayers Esri Geospatial Analysis Raster-to-Vector Coverage Analysis OpenStreetMap

Engineering & CAD ▼

Civil 3D Microstation InfraWorks Autodesk Bentley 3D Modeling 3D Rendering Civil Engineering DOT Standards

AI & Machine Learning ▼

Computer Vision Geospatial AI Machine Learning Scikit-Learn KNN Classification LLM Vectorization AI Vector Datasets Feature Extraction V7 Darwin Roboflow

LiDAR & 3D Technologies ▼

LiDAR Systems Point Cloud Processing LAS/LAZ Formats 3D Photogrammetry LiDAR-to-CAD Survey-Grade Accuracy Infrastructure Assets

Analytics & Visualization ▼

Grafana Analytics Dashboard Design ROI Tracking User Engagement Automation PDF Snapshots CSV Exports UX Design

Experience

Mach9

Product Manager - Computer Vision and Geospatial AI

San Francisco, CA

June 2025 - Current
  • • Created new feature PRDs through industry research, sales coordination, and customer interviews, translating insights into actionable feature definitions. Defined technical requirements, schema standards, and QA policies that standardized production workflows and accelerated new AI feature rollouts
  • • Managed a 50-person annotation team producing high-quality training data for Mach9's vector and object feature extraction AI, improving model precision and labeling turnaround times
  • • Built Grafana and custom dashboards to track annotation productivity and labeling time, increasing throughput efficiency and providing real-time visibility into model training impact
  • • Directed annotation workflows through the Mach9 internal platform, adapting it for large-scale labeling operations and pilot testing of commercial tools such as Darwin v7 to evaluate platform performance and integration potential
  • • Led the NavVis MLX scanning initiative for a government contract, coordinating 50 field collections, training capture teams, and managing data ingestion and integration into the Mach9 platform
  • • Delivered a Mapbox-based geospatial application enabling customers to visualize and QA processed datasets, improving reporting transparency and client engagement
  • • Launched internal engineering support tools including a synthetic data engine for platform testing and a pre-seed data project that accelerated model comprehension and feature development

Strategic Account Manager - Sales and Technical Enablement

San Francisco, CA

January 2025 - June 2025
  • • Conceived and launched the first-of-its-kind Mach9 sandbox environment, giving prospects hands-on access to the platform with curated CAD deliverables and usage reports, accelerating enterprise adoption and deal velocity, and bringing 10 new logos into the pilot program
  • • Built a Python-based conflation reporting tool to compare Mach9-extracted features against customer ground truth, producing measurable accuracy reports for technical validation
  • • Designed a Grafana-based analytics dashboard tracking user engagement, time-on-task, and feature modifications, enabling data-driven ROI presentations to decision-makers
  • • Drove enterprise expansion in telecommunications and civil engineering markets through technical consultation and tailored solution proposals

Nearmap

Strategic Account Manager

New York, NY

March 2024 - January 2025
  • • Managed $1.3M annual quota covering the top engineering and telecom firms in the U.S.
  • • Closed the largest enterprise engineering deal in company history, adding $570K in annual revenue

Solution Architect

New York, NY

August 2022 - March 2024
  • • Delivered enterprise geospatial solutions across AEC, utilities, insurance, and solar sectors
  • • Built internal and customer-facing applications using JavaScript, NodeJS, and Python to automate data processing and enhance platform usability
  • • Developed Nearmap's first Python SDK for imagery, 3D, and AI content downloads, featuring asynchronous delivery and CI/CD integration
  • • Produced AI vector datasets for parcel-level insurance analysis, leveraging AWS EC2 for large-scale processing

Solutions Engineer

New York, NY

January 2021 - August 2022
  • • Supported closure of a $1.4M imagery partner contract by developing a nationwide Python data delivery pipeline
  • • Created geospatial demonstrations using Esri, Autodesk, Bentley, Mapbox, and OpenLayers to showcase platform capabilities
  • • Automated internal processes including coverage analysis, raster-to-vector conversion, and full-stack content delivery

HDR

Civil and Highway Engineer EIT

New York, NY

September 2018 - January 2021
  • • Led work zone traffic control design for NYSDOT's Kew Gardens Interchange Phase 4
  • • Contributed drainage design to the $3.3B Hampton Roads Bridge Tunnel project
  • • Built a PostgreSQL-based traffic analysis database and Python scripts to analyze TXDOT route data for design recommendations

HW Lochner

Civil and Highway Engineer EIT

Hartford, CT

January 2016 - September 2018
  • • Designed roadway geometry and superelevation in compliance with DOT standards
  • • Produced staging plans, pavement marking layouts, and barrier configurations for construction phases

Clients & Partners

Throughout my career, I've had the privilege of working with industry-leading companies across various sectors, from technology and social media to engineering and insurance.

Snapchat

Snapchat

Ecopia

Ecopia

Burns & McDonnell

Burns & McDonnell

HDR

HDR

Kimley-Horn

Kimley-Horn

State Farm Insurance

State Farm

Projects

OSM Pre-Seed API

OSM Pre-Seed API

FastAPI service for querying and analyzing OpenStreetMap data for machine learning annotation workflows.

Python FastAPI Geospatial
Synthetic LAS Generation

Synthetic LAS Generation

Python toolkit for generating synthetic LiDAR point cloud data in LAS/LAZ format.

Python LiDAR 3D Modeling
Trajectory Viewer

Trajectory Viewer

Interactive web application for visualizing and analyzing trajectory data using Mapbox GL JS.

JavaScript Mapbox PostgreSQL
Grafana Dashboard

Grafana Dashboard

Comprehensive reporting system with automated PDF snapshots and CSV exports.

Grafana Analytics Automation
Custom Annotation Dashboard

Custom Annotation Dashboard

Custom-built internal dashboard for tracking annotation efforts, effective speeds, and scale beyond standard dashboard deployments. Features comprehensive metrics for utilization, throughput, speed, quality, and cost analysis.

Dashboard Development Data Analytics Performance Tracking
Three.js Integration Demo Gallery

Three.js Integration Demo Gallery

Comprehensive Three.js and HTML product for SE conferences and external demos with 3D content viewer and data aggregation platform.

Three.js 3D Visualization Demo Platform
Large Scale Point Cloud Optimization

Large Scale Point Cloud Optimization

Initial investigation phase for handling massive point cloud datasets using optimized cloud viewing libraries, then handed off to engineering team for evaluation.

Cloud Computing Point Cloud Processing Optimization
MUTCD Sign Visualizer

MUTCD Sign Visualizer

Mapbox-based application for viewing extracted traffic signs with full MUTCD integration.

Mapbox JavaScript UX Design
Powerline Vectorization

Powerline Vectorization

Python-based vectorization algorithm for utility line networks with pole-to-pole connection analysis.

Python Computer Vision Vectorization
Orthoimagery Download App

Orthoimagery Download App

Python + PyQt frontend with PyMongo database to support large area downloads and fill product gaps.

Python PyQt MongoDB
Roadway Best-Fit KNN Model

Roadway Best-Fit KNN Model

Scikit Learn classification on roadway centerline points for automated feature collection and parametric road design.

Python Scikit-Learn Machine Learning
Infraworks 3D Modeling

Infraworks 3D Modeling

Comprehensive demo of Nearmap content rendered in Infraworks, establishing new value demonstration for engineering applications.

Infraworks 3D Rendering Civil Engineering
JsonCrack Visualizer

JsonCrack Visualizer

Enhanced visualization tool for Nearmap API JSON response tree structures using open-source JsonCrack library.

Web Development JSON API Visualization

More Projects

Python Conflation Reporting Tool

Technical Development • 2025

Developed Python-based conflation reporting tool to compare Mach9-extracted features (sign inventory) against customer ground truth, generating accuracy metrics for sales validation and technical validation.

Solution Engineering ChatGPT Assistant

Full Stack Development • 2024

Full stack app with authentication, document upload, embeddings, and search using LLM technology. Leverages LLM technology to create a Solution Engineer based assistant using company public documentation to assist with internal queries on company technology and documentation requests. Features webscrape module to read, parse and create embeddings for all external documentation, stored in vector database for query later, with front end to test and run question prompts and backend running lambda functions for data processing in AWS.

Data Science Projects

Various Data Science Learning Projects • 2020

CitiBike Analysis: Folium Webmap displaying yearly citibike ride history. Wordcloud Analysis - Sentiment Analysis of historical word entries. Big Five Personality Test Analysis - Dataset analysis of correlation between personality types. Diabetic Diagnosis Analysis - Dataset analysis of diabetic testing histories.

Contact

Get in Touch

New York, NY 10009

860-573-6377

tluckconnor@gmail.com

Download Resume