Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.  

When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people. 

As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.

Meet the team:

The Autonomy Analytics team is responsible for evaluating the performance of our autonomous software using data, statistics, and machine learning. Combining data from real-world testing with our extensive simulations, our team builds the metrics and analytics that ensure our product is safe, reliable, and delights our customers. 

Our team is spread geographically with some members on-site in Pittsburgh, Palo Alto, and Dearborn. Others work fully remotely.

What you’ll do: 

• Translate loosely defined questions into clear requirements, metric definitions, and analytical deliverables
• Partner closely with software development teams, test engineering, product, and analytics partners to understand needs and deliver trusted data products
• Build and maintain scalable data models in Google BigQuery and similar cloud data platforms to support reporting, analysis, and operational decision-making
• Develop dashboards and lightweight data applications in Apache Superset, Plotly Dash, or similar tools for technical and business stakeholders
• Investigate source data, identify quality issues, and implement durable fixes that improve accuracy, consistency, and reliability
• Create reusable datasets, testing practices, and documentation that strengthen trust in data and improve self-service access
• Balance near-term dashboard development with long-term data modeling work to support both speed and scale
• Communicate findings, assumptions, and tradeoffs clearly to internal stakeholders and external platform or data partners as needed

What you'll need to succeed:

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)
• Experience building and maintaining analytics-ready data models in Google BigQuery or a similar cloud data warehouse
• Experience using dbt or a similar data transformation framework to develop tested, documented, and maintainable data pipelines
• Experience designing dashboards and analytical applications in Apache Superset, Tableau, or similar reporting and visualization tools
• Strong SQL skills, including complex transformations, data validation, and query optimization
• Experience with Python for data analysis and application development, including the ability to contribute to and maintain Plotly Dash dashboards
• Demonstrated ability to succeed in ambiguous environments by defining requirements, shaping metrics, and creating structure from incomplete problem statements
• Experience partnering with software development, test engineering, product, or similar cross-functional teams to deliver measurable outcomes
• Strong foundation in data modeling, dashboard design, documentation, and quality assurance practices
• Strong written and verbal communication skills with the ability to explain analytical concepts and findings to varied audiences

Nice to have: 

• Experience supporting autonomous vehicle development or other complex hardware and software products
• Experience working with telemetry, operational, or product usage data at scale
• Experience building shared metrics and self-service reporting solutions for engineering and product organizations
• Experience with front-end technologies such as HTML, CSS, JavaScript, or React to support customization and enhancement of data applications and dashboards

What we offer you:

• Competitive compensation packages
• High-quality individual and family medical, dental, and vision insurance
• Health savings account with available employer match
• Employer-matched 401(k) retirement plan with immediate vesting
• Employer-paid group term life insurance and the option to elect voluntary life insurance
• Paid parental leave
• Paid medical leave
• Unlimited vacation
• 15 paid holidays
• Daily lunches, snacks, and beverages available in all office locations
• Pre-tax spending accounts for healthcare and dependent care expenses
• Pre-tax commuter benefits
• Monthly wellness stipend
• Adoption/Surrogacy support program
• Backup child and elder care program
• Professional development reimbursement
• Employee assistance program
• Discounted programs that include legal services, identity theft protection, pet insurance, and more
• Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives

Learn more about Latitude’s team, mission and career opportunities at lat.ai!

The expected base salary range for this full-time position in California is $179,200 - $268,800 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.

Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.

About the Company

Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery. If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About the Role

The Chief of Staff will work closely with our CEO to drive efficiencies, enact change, and provide a framework for the Executive Team to tackle the most important strategic and operational priorities of the company. This role will sit at the center of the organization helping translate company strategy into execution across product, go‑to‑market, finance, and operations.

Required Skills

Ownership: You assume full responsibility for achieving successful outcomes. You demonstrate initiative, act with urgency, and maintain rigorous accountability for results.

Prioritizing Solutions: You move beyond merely identifying challenges to proactively removing obstacles for yourself and your colleagues.

Attention to Detail: You observe what others overlook and engage in deeper inquiry.

Embrace AI Integration: You leverage artificial intelligence across all facets of your work to accelerate progress and enhance the caliber of your output.

Responsibilities

• Collaborate directly with the CEO to advance the company's highest-priority initiatives and strategic objectives.
• Translate strategic mandates into structured, cross-functional execution plans.
• Manage complex, cross-functional projects encompassing product development, finance, operations, and Go-To-Market (GTM) strategies.
• Establish internal operational rhythms, including planning cycles, Objective and Key Results (OKRs) development, and executive-level reporting.
• Develop analytical models and decision frameworks to inform company leadership.
• Orchestrate investor and board preparations, including the creation of materials, metric tracking, and in-depth analysis.
• Identify operational constraints and implement scalable, best-in-practice processes.
• Serve as a critical liaison between the leadership team and the broader organization to ensure cohesive alignment and clarity of direction.

Qualifications

• Demonstrated proficiency in financial modeling, analytical techniques, and structured problem-solving methodologies.
• Proven experience collaborating closely with senior leadership on strategic initiatives.
• Ability to operate effectively and assume high ownership in startup environments.
• Exceptional communication skills and the capacity to influence stakeholders across various teams, including communication with a Board of Directors.
• A track record demonstrating the ability to transition seamlessly between strategic planning and hands-on execution.

Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.

When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people. 

As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.

Meet the team:

The Data Services Operations team plays a crucial role in delivering data and analysis that supports development of autonomous systems and features essential for a great ADAS driving experience. Within Data Services Operations, the GIS Services organization at Latitude is the operational backbone and spatial intelligence engine driving our system and its complex relationship with the world and our customers. We go beyond traditional High Definition (HD) map production to build, scale, and operationalize a GIS ecosystem capable of supporting a highly accurate and up-to-date ADAS driving network.

Within this organization, the GIS Platform Team is tasked with building, scaling, and maintaining the robust technological infrastructure that empowers all Latitude stakeholders to easily access, visualize, and exploit spatial data. We are looking for a highly skilled GIS Solutions Analyst (Front-End Support) to lead web application development, design intuitive cartographic templates, and build a seamless "one-stop shop" portal critical to reliable spatial data integration, analysis, and self-service capabilities across the Latitude AI enterprise.

What you’ll do: 

• Infrastructure & Database Management: Develop, optimize, and maintain enterprise spatial databases (specifically Postgres/PostGIS), including schema design, indexing strategies, and performance tuning for high-volume mapping data.
• Performant Geoprocessing: Design, build, and deploy custom Python geoprocessing tools and services that support high delivery velocity, complex vehicle mission routing, and self-service web applications across Latitude.
• Esri Enterprise Administration: Extend the functionality of Esri Enterprise GIS systems by implementing custom data feeds, managing server environments, and ensuring high availability.
• System Optimization: Monitor system performance, troubleshoot storage or network bottlenecks, and proactively implement infrastructure optimizations to support the at-scale global operations.
• Integration & Automation: Implement and maintain CI/CD pipelines and source control practices for geospatial tools, services, and infrastructure deployments.
• Cross-Functional Collaboration: Work closely with the Front-End Solutions Analyst, Operations stakeholders, Spatial Data & Analytics Teams, and Map Engineering to align backend geospatial architecture with business, operational, and delivery needs.
• Best Practices: Establish, document, and promote industry best practices for geospatial data engineering, system design, and backend deployment.

What you'll need to succeed:

• Associate or Bachelor’s Degree preferred.
• Proven experience building, deploying, and tuning relational and spatial databases, with deep proficiency in PostgreSQL and PostGIS.
• Exceptional skills in Python and SQL, specifically for backend geospatial data manipulation, automation, and API development (e.g., ArcPy, GeoPandas, SQLAlchemy).
• Hands-on experience deploying, maintaining, and scaling Esri Enterprise Architecture (Portal, Server, Data Store, Image Server).
• Proficiency in GIS software such as ArcGIS, QGIS, or similar.
• Familiarity with CI/CD workflows, version control (Git), and modern software development lifecycle practices.
• Strong analytical and problem-solving skills with a laser focus on system performance, backend reliability, and infrastructure optimization.
• Excellent communication and teamwork abilities

Nice to have:

• Experience with cloud infrastructure platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) for GIS deployments
• Experience designing and scaling raster services, including modern formats (e.g., Cloud Optimized GeoTIFFs [COG], SpatioTemporal Asset Catalogs [STAC]), and enterprise image service delivery (e.g., Esri Image Server) to support high-volume Imagery Based Production (IBP).
• Experience taking nascent, ground-up GIS backend systems and evolving them into mature, highly performant enterprise architectures.
• Experience with Cloud Data Warehouse platforms such as Big Query or Snowflake.
• Familiarity with high-frequency spatial event data management and streaming architectures. Experience utilizing Elastic-stack technologies (Elasticsearch, OpenSearch) or message brokers (e.g., Apache Kafka) to synchronize real-time vehicle fleet telemetry and rapid map updates at scale.
• Familiarity with open-source GIS server technologies (e.g., GeoServer).
• Previous experience working in an autonomous vehicle (AV), ADAS, or high-definition (HD) mapping environment.

What we offer you:

• Competitive compensation packages
• High-quality individual and family medical, dental, and vision insurance
• Health savings account with available employer match
• Employer-matched 401(k) retirement plan with immediate vesting
• Employer-paid group term life insurance and the option to elect voluntary life insurance
• Paid parental leave
• Paid medical leave
• Unlimited vacation
• 15 paid holidays
• Daily lunches, snacks, and beverages available in all office locations
• Pre-tax spending accounts for healthcare and dependent care expenses
• Pre-tax commuter benefits
• Monthly wellness stipend
• Adoption/Surrogacy support program
• Backup child and elder care program
• Professional development reimbursement
• Employee assistance program
• Discounted programs that include legal services, identity theft protection, pet insurance, and more
• Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives

Learn more about Latitude’s team, mission and career opportunities at lat.ai!

Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.

About the Role:

The AI Data Infrastructure team sits between Stack’s data and its engineers. We provide tooling and infrastructure to process petabytes of data per month into actionable insights for ML and autonomy engineers. In particular, we provide data pipelines to run tasks on new data, services and frontend to search for data, and tooling to stream and transform data in our various data storage mediums.

• Data Processing: we are building state of the art infrastructure to support our scaling fleet and ML engineering needs. For this role, you would be responsible for ensuring our processing pipelines are customer friendly, fault tolerant and performant. 
• Data Search: we provide our end users with a platform that combines searching across our metadata stores, vector database, and parts of our data warehouse and then visualize the data (think YouTube). You would be coming in and working with ML and autonomy stakeholders to improve the reliability of the pipelines that feed into our search platform.  
• Data Lineage: we are getting started with building our data lineage system that will track the usage of all data at Stack. You would work with our stakeholders to ensure our system is widely adopted and address customer pain points.

Responsibilities:

• Play a key role in designing and building the next generation of data infrastructure.
• Build low latency/high throughput, fault tolerant  batch or stream processing systems.
• Build scalable backend services for data search and data curation systems.
• Write high quality Python and SQL.

Qualifications: 

• Proven track record of building scalable, reliable infrastructure in a fast-paced environment.
• Ability to collaborate effectively across teams.
• Strong development experience with Python and SQL.
• Prior experience with Apache Iceberg, Trino, SQLMesh, Flyte / Airflow, and Kubernetes are a plus.
• Prior experience building and managing data platforms for multimodal ML needs is a plus.
• Prior experience with agentic workflows is a plus.
• Prior experience in autonomous vehicles (AV) is a plus.

#LI-AW1

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. 

We are seeking a hands-on, execution-focused Senior Materials Analyst to partner closely with our Operations Program Managers in driving material readiness for complex hardware builds in an automotive/technology manufacturing environment. This role is ideal for a supply chain professional who thrives in the details of material planning and data accuracy, while also bringing the analytical horsepower to uncover trends, pinpoint root causes, and recommend process improvements.

You will be the primary analyst and materials owner supporting our OPMs — ensuring that short-term material health is visible, accurate, and acted upon, enabling programs to stay on track. This position demands expertise in ERP/MRP execution, data analysis, and cross-functional collaboration, with an ability to navigate fast-paced and dynamic build schedules.

In this role, you will

• Own short-term material health for assigned programs, ensuring accuracy in ERP and flagging shortages, late POs, or at-risk parts for action by OPMs and Procurement.
• Maintain and continuously improve material readiness dashboards and trackers using dashboarding tools or spreadsheets.
• Partner with OPMs to consolidate and validate data for build readiness reviews, material risk assessments, and leadership updates.
• Execute regular BOM scrub and alignment activities, ensuring ERP data integrity (quantities, lead times, allocations).
• Analyze material availability vs. program demand, highlight gaps, and prepare actionable recovery plans.
• Manage and track engineering change impacts on material requirements, collaborating with OPMs to ensure smooth transitions.
• Drive recurring operational cadences (weekly readiness reviews, inventory checks, and allocation updates).
• Utilize JIRA and Monday to track and follow through on open issues, ensuring closure and accurate status reporting.
• Support scenario planning by running “what-if” analyses on material availability and demand shifts.
• Partner with OPMs on executive and customer-facing reporting, ensuring data is clean, accurate, and presentation-ready.
• Identify data or process gaps and propose solutions to improve planning accuracy and efficiency.

 Required Qualifications

• Bachelor’s degree in Supply Chain Management, Business, or related field.
• 3+ years in materials planning, supply planning, or production control within automotive, aerospace, or complex hardware manufacturing.
• Strong ERP/MRP (Netsuite, SAP, Plex etc) experience with a proven track record of data accuracy and system execution.
• Advanced skills in Excel, Mode, and/or Power BI for data analysis and dashboarding.
• High attention to detail and ability to manage large, complex data sets without losing sight of key priorities.
• Comfortable in an 80% execution / 20% strategy role - thrives on solving daily material availability challenges while contributing to process improvements.
• Strong communication skills for collaborating with cross-functional teams, especially Operations Program Managers, Procurement, and Production Planning.
• Ability to work in a fast-paced, changing environment with competing priorities.
• APICS/ASCM or similar certification is a plus.

 Desirable Qualifications

• Experience in the Automotive, Aerospace, or Robotics industries.
• Proficiency in visualization tools (Tableau, Power BI) and SQL.
• Knowledge of Six Sigma or Lean methodologies as applied to warehouse and repair operations

The base salary range for this position is $72,000 - $104,000 per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#LI-JM3

#Associate

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. 

The Supply Chain Operations team at Aurora is looking for a Service & Spares Material Planning Analyst to ensure maximum fleet uptime through strategic inventory management and repair operations. This role is the bridge between hardware reliability and field execution. You will be responsible for managing the end-to-end lifecycle of Aurora hardware - from forecasting spare part needs and designing distribution networks to managing the "reverse logistics" of reworks and repairs. Your goal is to balance high hardware availability with optimized inventory costs to keep our fleet moving.

In this role, you will

• Develop and execute demand forecasts for spare parts to ensure high fleet uptime while minimizing excess inventory carrying costs.
• Support the design of the service network to determine optimal stocking locations (forward-stocking locations vs. central hubs) based on fleet density and lead times.
• Manage the flow of "core" returns; track damaged hardware from the field through the repair/refurbishment cycle and back into usable stock.
• Build and maintain dashboards to track Key Performance Indicators (KPIs) such as Part Availability Rate, Mean Time to Repair (MTTR), and Inventory Turns.
• Partner with Field Service Engineering and Reliability teams to adjust stocking levels based on real-world hardware failure rates and engineering change orders.
• Work with procurement to ensure service POs align with fleet expansion plans and historical consumption data.
• Reconcile inventory discrepancies within ERP/MRP systems to ensure "Clear to Service" (CTS) visibility is 100% accurate across all field locations.
• Identify bottlenecks in the return-to-vendor (RTV) process and implement automated workflows for tracking serialized hardware.

 Required Qualifications

• Bachelor’s degree in Supply Chain Management, Business, or a related field.
• 3+ years in supply chain or operations, with a specific focus on service parts, aftermarket support, or reverse logistics.
• Strong ERP/MRP experience (e.g., NetSuite, SAP, Oracle) with a proven track record of managing serialized inventory and repair orders.
• Advanced Excel, Mode, and/or Power BI skills; ability to manage large datasets to identify "bad actor" parts or logistics bottlenecks.
• Thrives in an 80% execution / 20% strategy role—you enjoy solving the daily puzzle of getting a part to a downed vehicle while suggesting ways to automate that process for the future.
• Ability to collaborate with Supply Chain Managers, Field Technicians, and global Procurement teams.
• Ability to work in a fast-paced environment where fleet priorities can shift daily.

 Desirable Qualifications

• Experience in the Automotive, Aerospace, or Robotics industries.
• Proficiency in visualization tools (Tableau, Power BI) and SQL.
• Knowledge of Six Sigma or Lean methodologies as applied to warehouse and repair operations.

The base salary range for this position is $72,000 - $116,000 per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#LI-JM3

#Associate

About Us

Are you ready to build the future of supply chain? At Gather AI, we’re not just creating software; we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining “on-time, in full” delivery.

If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About the Team

Product at Gather AI sits at the center of everything — connecting customer insights, engineering execution, and go-to-market strategy into a coherent roadmap. It’s a small, high-ownership team embedded directly with engineering and design, working on products that have immediate, measurable impact in real warehouse environments. You’ll work closely with customers, field teams, and engineering to shape what we build and how we build it.

About the Role

We are looking for a Senior Product Manager to own end-to-end product delivery for one or more core areas of the Gather AI platform. Your initial focus will be our internal tools platform — leading the buildout and scaling of our deployment tooling — with scope expanding over time as the team and product grow.

This is a high-autonomy IC role for a PM who thrives in ambiguity, goes deep on customer problems, and has the technical fluency to partner effectively with robotics and software engineering teams. You will own the strategy, roadmap, and delivery outcomes for your product area from discovery through launch and iteration.

What You’ll Do

• Own the strategy, roadmap, and delivery outcomes for one or more product areas — defining goals, success metrics, and priorities aligned to company objectives
• Lead structured customer discovery with warehouse and logistics operators, synthesizing qualitative and quantitative research into detailed requirements and specs
• Partner day-to-day with engineering squads and UX designers through planning, refinement, and retrospectives — unblocking the team and maintaining delivery momentum
• Define success metrics for your product area, instrument new features, run experiments, and share clear read-outs with stakeholders
• Partner with Sales, Marketing, and Customer Success to plan and execute product launches, including enablement materials and positioning briefs
• Communicate roadmap status, priorities, and trade-offs proactively to cross-functional partners, building alignment around a shared plan

What You’ll Need

• 5+ years of product management experience with a track record of independently owning and shipping software products in fast-paced startup or scale-up environments
• Proven end-to-end ownership — from discovery and spec writing through backlog management, launch coordination, and outcome measurement
• Strong written and verbal communication skills with the ability to align both technical and non-technical stakeholders around a clear direction
• Technical fluency sufficient to engage deeply with engineers on constraints, architecture decisions, and API-level product details
• Hands-on familiarity with modern product tools (Jira, Figma) and agile delivery practices; comfortable operating without heavy process support
• Bachelor’s degree required; background in robotics, logistics, warehouse automation, or enterprise SaaS strongly preferred

Nice to Have

• Direct experience in warehouse, logistics, or supply chain software
• Experience working with or alongside hardware or robotics engineering teams
• Familiarity with deployment tooling, internal platforms, or operations-facing software
• Prior experience as a first or early PM at a scaling company

About Us

Are you ready to build the future of the supply chain? At Gather AI, we’re not just creating software; we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining “on-time, in full” delivery.

If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About the Team

This role sits at the intersection of our Autonomy, Machine Learning, Hardware, and Product teams. You will collaborate with engineers across drone, MHE Vision, and embedded systems, partner with Product on scanning accuracy requirements, and work with Hardware and Operations on camera mounting, lighting, and real-world warehouse deployment.

About the Role

We are seeking a Staff Robotics Engineer - Perception to take full technical ownership of one of Gather AI's two production platforms — our drone-based inventory scanning system or our MHE Vision product — deployed today in customer warehouses. You'll bring systems-level rigor to a platform that already works, with a mandate to make it faster to deploy, easier to operate, and more reliable at scale. 

This is a high-ownership, high-impact role, critical to the quality of every scan our system performs. You will drive technical direction and deliver measurable impact on production systems serving real customers.

What You’ll Do

• Own the camera and imaging subsystem audit across MHEV and Modal: characterize existing performance (barcode decode rates, read distances, motion blur impact) and identify top bottlenecks
• Evaluate and select camera and sensor hardware — specifying resolution, sensor size, lens selection, and exposure control for industrial warehouse environments
• Implement and tune auto-exposure, gain control, and lighting strategies for variable warehouse lighting conditions, including motion blur mitigation for moving platforms
• Develop image quality metrics and production monitoring to maintain system performance as deployments scale
• Collaborate with the ML team to ensure perception model inputs meet training and inference quality requirements; contribute to next-generation capabilities such as damage detection and label reading
• Work with the hardware team on camera mounting, vibration/damping, and lens placement to optimize system-level performance

What You’ll Need

• 5+ years of experience in machine vision, imaging systems, or perception engineering
• Deep expertise in camera systems: sensor selection, lens specification, resolution analysis, pixels-on-target calculations, and exposure control for industrial applications
• Hands-on experience with motion blur analysis and mitigation — rolling vs global shutter trade-offs, exposure budgeting relative to platform velocity
• Strong Python and C++ proficiency with OpenCV and camera SDK experience (FLIR, Lucid, Basler, or similar); familiarity with GigE Vision or USB3 Vision standards
• BS or MS in Electrical Engineering, Optics, Physics, Computer Science, or a related field

Nice to Have

• Experience with drone or robotics perception systems (gimbal stabilization, triggering, onboard compute constraints)
• Optical design or lens selection experience (MTF analysis, depth of field, distortion characterization)
• Edge compute and embedded vision experience (NVIDIA Jetson, FPGA-based image processing)
• Familiarity with classical and deep learning perception algorithms and how image quality affects model performance

About Us

Are you ready to build the future of supply chain? At Gather AI, we’re not just creating software; we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining “on-time, in full” delivery.

If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About the Team

Our Autonomy team works at the frontier of real-world robotics — building and deploying systems that navigate, perceive, and act in complex, uncontrolled warehouse environments. The team spans drone autonomy, perception, and MHE Vision, and operates across multiple active product lines with production deployments at customer sites. It’s a small, senior group where individual contributions are immediately visible and where the hardest problems are also the most important ones.

About the Role

We are looking for a Staff Robotics Engineer – State Estimation to take ownership of one of the most critical subsystems in our product: localization and state estimation across our drone and MHE Vision platforms. You will lead the evolution of our state estimation software — reducing reliance on fiducial markers, improving robustness to real-world conditions, and expanding these capabilities to new product lines including Wearables.

This is a hands-on, deeply technical role for someone who thrives at the intersection of rigorous math and production deployment — designing creative solutions that meet hard constraints, then seeing them through to the field.

What You’ll Do

• Lead state estimation across the drone platform and MHE Vision, evolving systems to be robust to vibration, variable lighting, and damaged or missing fiducial markers
• Reduce dependency on Aruco tags by designing and implementing improved localization approaches that operate reliably with fewer or no fiducial markers
• Take ownership of the Slamcore system for MHEV, managing both technical performance and the ongoing vendor relationship
• Design new state estimation methods, implement them in production C++ and Python, and iterate based on field data and real-world edge cases
• Extend state estimation capabilities to Wearables by end of year, contributing to the next generation of Gather AI’s product portfolio
• Collaborate closely with the autonomy and perception teams to ensure state estimation integrates with flight planning, sensor pipelines, and broader system constraints

What You’ll Need

• 10+ years of engineering experience with hands-on deployment of state estimation or autonomy systems in real-world, uncontrolled environments
• Deep expertise in filtering techniques (EKF and variants), SLAM, and VIO — with production experience, not just academic familiarity
• Proficiency with optimization libraries such as GTSAM and Ceres
• Strong C++ and Python skills for implementing and deploying production robotics systems
• BS or higher in Computer Science, Engineering, or a related field; advanced degree preferred

Nice to Have

• Computer vision and image processing experience
• Familiarity with functional safety standards and safety-critical systems
• Experience in GPS-denied indoor environments such as aerial systems or warehouses
• Experience mentoring or leading other engineers in a robotics context

About Us

Are you ready to build the future of supply chain? At Gather AI, we’re not just creating software; we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining “on-time, in full” delivery.

If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About the Team

You’ll work most closely with the systems engineers on the MHE Vision platform. You’ll collaborate with the MHEV team on integrated system testing and debugging, with the ML team on validating model outputs against ground truth data, and with Customer Support and Product Management on field-reported edge cases and quality priorities.

About the Role

We are looking for a Test Engineer to join our Pittsburgh team and strengthen the testing and validation layer for our MHE Vision platform. You will work hands-on with real data and real systems — analyzing large transaction datasets to extract ground truth, building and maintaining regression test infrastructure, and contributing to integrated system tests in our lab.

This is a high-impact early-career role with real ownership and visibility. Your analysis directly improves product quality for customers, and you’ll have the opportunity to grow into test automation, systems engineering, or QA leadership as the company scales.

What You’ll Do

• Manually analyze large transaction datasets (100+ records) to extract ground truth, identify anomalies, mismatches, and edge cases, and validate system outputs against expected behavior
• Build and maintain regression test infrastructure, integrating new edge cases sourced from field deployments into the existing test suite
• Participate in integrated system tests in the Pittsburgh lab alongside systems engineers, executing test procedures and documenting results
• Perform first-level root cause analysis (RCA) on test failures and route issues clearly to the appropriate engineering owners
• Develop structured processes for collecting and cataloging field edge cases into repeatable test cases
• Contribute to continuous improvement of the test and validation pipeline through clear documentation, reporting, and collaboration with engineering leads

What You’ll Need

• 1–3 years of experience in test engineering, QA, data analysis, or a related technical role (internship experience counts)
• Strong analytical and data review skills — comfortable working through large datasets methodically and accurately
• Python proficiency for data processing, test scripting, and automation tasks
• BS in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field
• Must be based in or willing to work on-site in Pittsburgh (lab access required)

Nice to Have

• Experience with log analysis, telemetry, or sensor data review
• Familiarity with CI/CD pipelines (GitHub Actions, Jenkins) or test pipeline integration
• Exposure to computer vision, image processing, or ML model output validation
• SQL or database querying experience for data extraction and validation

About Us

Are you ready to build the future of the supply chain? At Gather AI, we’re not just creating software; we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining “on-time, in full” delivery.

If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About the Team

This role work closely with a Senior Machine Learning Scientist and our Lead Machine Learning Infrastructure Engineer, alongside cross-functional partners in Cloud Engineering, Product, and Operations. The role spans both deep technical work and collaboration with teams closest to the customer. As a Principal-level IC, you'll have real input into technical direction — not just executing on decisions, but helping make them. 

About the Role

We are looking for a Principal Machine Learning Scientist to advance the state of our computer vision systems for warehouse inventory scanning. You will work across the full ML lifecycle — from research and model architecture through training, deployment, and production monitoring — with a focus on delivering measurable improvements to detection, segmentation, and OCR accuracy across our drone and MHE Vision products.

This role is ideal for a senior ML practitioner who wants principal-level impact on a core product, a variety of deployment targets (cloud, on-prem, embedded), and real-world data with tangible business outcomes.

What You’ll Do

• Advance core computer vision model performance (object detection, segmentation, OCR) for warehouse inventory scanning across drone and MHE Vision platforms
• Own the full ML lifecycle from research and experiment design through production deployment and monitoring — applying rigorous ablation studies and SOTA methodology
• Collaborate with the ML infrastructure team on model optimization and deployment across cloud and edge inference targets (ONNX, TensorRT, quantization)
• Work with Operations and Product to understand customer needs and translate them into ML improvements with measurable business impact
• Provide technical leadership and mentorship to the ML team, raising standards for experiment design, model evaluation, and production readiness
• Explore next-generation perception capabilities, including embedded and on-prem inference optimization for new deployment targets

What You’ll Need

• 10+ years of experience in machine learning or computer vision
• Deep expertise in CNNs, object detection, image segmentation, and OCR using PyTorch (preferred) or TensorFlow
• Strong Python proficiency and software engineering fundamentals; hands-on experience with OpenCV and GPU computing
• Track record of delivering production ML systems at scale, including model training, evaluation, and deployment
• MS or PhD in Computer Science, Machine Learning, Robotics, or a related field

Nice to Have

• Experience with drone, robotics, or autonomous systems perception
• Publications in top vision or robotics conferences (CVPR, ICCV, ICRA, NeurIPS, CoRL)
• Experience designing and deploying models for real-time inference on constrained compute platforms
• Warehouse, logistics, or supply chain domain experience

About Us

Are you ready to build the future of supply chain? At Gather AI, we’re not just creating software; we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining “on-time, in full” delivery.

If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About the Team

You’ll lead the Machine Learning and FPT teams, working closely with the Director of Cloud Engineering and Director of Autonomy. Cross-departmentally, you’ll collaborate with Product and Business leadership to translate ML capabilities into product value. This is a high-visibility role with a direct line to executive leadership and significant influence over product direction.

About the Role

We are looking for a Director of Machine Learning to define our ML strategy, lead our computer vision organization, and drive the next phase of ML maturity at Gather AI. You will assess existing ML and CV capabilities, identify gaps and opportunities, and establish a clear technical vision for how machine learning will power our warehouse intelligence platform over the next 12–18 months.

The ideal candidate brings deep computer vision expertise, a track record of shipping production ML systems, and the leadership experience to build and scale a world-class ML team.

What You’ll Do

• Define and own the ML strategy and technical roadmap for Gather AI, aligned with product and business objectives
• Lead and grow the Machine Learning and FPT teams, establishing a culture of rigor, experimentation, and production-quality delivery
• Drive improvements to core computer vision models (object detection, segmentation, OCR) used across our drone and MHE Vision products
• Build out MLOps infrastructure — model training pipelines, deployment, monitoring, and CI/CD for ML workloads
• Collaborate with the Director of Cloud Engineering and Director of Autonomy to ensure ML systems integrate seamlessly into the broader platform
• Partner with Product and Operations to translate customer needs into ML-driven product capabilities

What You’ll Need

• 10+ years building and scaling production ML or computer vision systems
• 5+ years managing and growing ML engineering teams
• Deep expertise in computer vision: object detection, image segmentation, OCR, and CNN architectures
• Strong Python and PyTorch (or TensorFlow) proficiency, plus a track record of shipping ML models to production at scale
• MS or PhD in Computer Science, Machine Learning, or a related field (strong industry track record considered in lieu of advanced degree)

Nice to Have

• Experience with drone, robotics, or autonomous systems perception
• Edge ML deployment experience (ONNX, TensorRT, mobile/embedded inference)
• Familiarity with warehouse, logistics, or supply chain domain
• Experience with AWS or GCP ML services (SageMaker, Vertex AI)

About the Company

Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery. If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About the Role

We’re looking for someone who is customer-focused, technically proficient, and proactive in enhancing IT processes. You should excel at clear communication with both technical and non-technical stakeholders, have robust expertise in IT systems (with a strong background in macOS), and thrive in fast-paced environments. You will be the first point of contact for troubleshooting hardware, software, and network issues. Your responsibilities include resolving support requests, coordinating with vendors for equipment procurement, repairs, and maintenance, and actively participating in process and systems improvement initiatives.

What you’ll do

• Collaborate with cross-functional teams to identify opportunities for improvement, support the creation and maintenance of repeatable workflows (such as onboarding and device imaging), and contribute innovative ideas.
• Work closely with cross-functional teams to ensure seamless employee experiences. Clearly articulate issues, potential solutions, and timelines to both technical and non-technical stakeholders.
• Serve as the primary point of contact for troubleshooting hardware, software, and network issues, ensuring prompt and reliable resolution of employee requests.
• Coordinate with vendors for procurement, repairs, and maintenance while managing hardware and software inventories to maintain secure, up-to-date, and standardized systems.
• Support basic cloud operations across environments such as Amazon Web Services and Microsoft Azure, including user access, troubleshooting connectivity issues, and assisting with environment visibility
• Partner with Engineering and Infrastructure teams to troubleshoot access, permissions, and resource-related issues within cloud environments
• Partner with Security and Engineering to ensure IT processes align with compliance requirements (ISO 27001, SOC 2), including maintaining accurate documentation and audit evidence
• Identify opportunities for process improvement and contribute to building repeatable, scalable workflows across onboarding, access management, and device provisioning

Requirements

• Strong technical expertise in macOS (with a working knowledge of Windows as a plus), identity and device management (e.g., Azure AD, Jamf, Intune), and enterprise collaboration tools like Google Workspace, Office 365, Slack, and Atlassian products.
• Excellent written and verbal communication skills, ensuring clarity and professionalism in both internal and external interactions.
• Experience with identity providers such as Okta or Microsoft Entra ID
• Familiarity with Apple Business Manager and automated device enrollment workflows
• Excel at troubleshooting and problem-solving within Mac and macOS environments, ensuring smooth operations for users.
• Have experience orchestrating all-hands events, managing the AV and technical aspects to ensure successful outcomes.
• A proactive approach to problem solving and continuous improvement.
• Exhibit precision and attention to detail in your work, consistently delivering high-quality results.
• Possess a customer-first mindset and the ability to clearly articulate technical details to diverse audiences.
• Are proactive in process improvement and vendor management.
• Exposure to security and compliance frameworks such as ISO 27001 or SOC 2 is a BIG plus.

About Us

Are you ready to build the future of supply chain? At Gather AI, we’re not just creating software; we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining “on-time, in full” delivery.

If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About the Team

You’ll work closely with support engineers, backend and platform teams, iOS and Android engineers, and customer-facing teams. This role sits at the intersection of mobile development and production system ownership — giving you broad exposure across mobile, backend, and operations rather than a narrow feature track.

About the Role

We are looking for a Mobile Engineer to own mobile-side investigation, support, and systems reliability for our MHEV (Material Handling Equipment Vision) product. You will be the go-to engineer for customer-reported mobile issues, becoming a deep expert on system behavior across mobile apps, backend services, and infrastructure.

This is a high-trust, high-responsibility role with a clear growth path into senior or platform engineering. If you want real production ownership, direct customer impact, and broad system exposure, this role is for you.

What You’ll Do

• Own mobile-side investigation and resolution for customer-reported issues — tracing problems across mobile apps, backend services, and infrastructure
• Support live MHEV production systems with rapid issue resolution and proactive reliability improvements
• Improve debugging tools, logs, documentation, and runbooks to reduce mean time to resolution across the team
• Support legacy app maintenance and the transition to current-generation apps
• Collaborate with backend and platform engineers to identify and address root causes at the system level
• Build domain expertise in MHEV system behavior to serve as a reliable resource for support and engineering teams

About Us

Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery.

If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About the Team

Our Autonomy team works at the frontier of real-world robotics — building and deploying systems that navigate, perceive, and act in complex, uncontrolled warehouse environments. The team spans drone autonomy, perception, and MHE Vision, and operates across multiple active product lines with production deployments at customer sites. It's a small, senior group where individual contributions are immediately visible and where the hardest problems are also the most important ones.

About the Role

• Own Architecture: Align backend, frontend, platform, and infrastructure decisions into a coherent, enterprise-grade architecture
• Reflect Excellence: Replace "firefighting" with predictable execution. You will lead the effort to retire scalability and reliability debt, safely upgrade critical infrastructure, and reduce single-threaded dependencies
• Set Direction: Set the standard for engineering technical hygiene. You will drive high-level decisions on testing strategies, validation guardrails, and system design concerns that directly impact delivery speed and maintainability
• Evolve Systems: Modernize and scale existing production systems by applying database-level strategies (schema evolution, replication tradeoffs) and platform primitives (orchestration, runtime constraints) as architectural tools
• Mentor: Elevate the organization by establishing shared practices, aligning terminology, and mentoring senior talent across the engineering team
• Exhibit First-Principles Thinking: Establish a deep understanding of data systems, latency-sensitive services, and failure modes

What You'll Need

• Distributed Systems: Mastery of performance-sensitive REST APIs, caching strategies, and core distributed systems concepts
• Relational Data Systems: Expert-level PostgreSQL (upgrades, query tuning, replication tradeoffs, and schema evolution) and advanced SQL
• Cloud & Containers: Deep experience with Azure and/or AWS and production-grade Kubernetes/Docker
• Backend Development: Strong production experience in Node.js and/or Python
• Reliability & Security: Hands-on experience with Observability (logs, metrics, traces), CI/CD, SRE fundamentals (SLIs/SLOs), and security hygiene (IAM, secrets management)

Nice to Have

• Domain Expertise: Experience in logistics, warehouse systems, or robotics-adjacent platforms is a plus, but not required. We value your ability to apply sound architectural judgment to new problem spaces
• Future Scale: If you have operated at a slightly smaller scale but can reason clearly about "what breaks next" (e.g., multi-regional architectures or advanced data governance), we will help you bridge that gap
• Organizational Maturity: While we value experience driving org-wide standards, we don't expect perfection on day one. We look for the intent to elevate our shared practices as you build trust
• AI-Ready: At Gather, we are at the leading edge of both applied classical ML and next-gen LLM/VLM AI. Come prepared to work with the latest and greatest tooling

About Us

Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery. If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About You

As a Principal Systems Engineer at Gather AI you will be a technical leader, driving the development and integration of cutting-edge autonomous and passive sensing systems, bridging the gap between product vision, complex system requirements, hardware implementation, and real-world performance.

What You’ll Do

• Take full technical ownership of the design, architecture, and integration of the autonomous data gathering systems in logistics and material handling environments.
• Collaborate with Product Management, Customers, and cross-functional engineering teams (e.g., Software, Hardware, Cloud, Test) to negotiate and finalize system boundaries and interfaces.
• Serve as a technical leader, mentoring less experienced engineers and setting the standard for systems engineering best practices. 
• Possess specific, in-depth knowledge of hardware implementation and integration challenges for both active robotic components (e.g., actuators, controllers) and passive sensing modalities (e.g., RGB cameras, depth cameras).
• Drive trade-off analyses, risk assessment, and mitigation planning for critical system elements.

Requirements

• BS, MS, or PhD in Systems Engineering, Robotics, Mechanical or Electrical Engineering, Computer Science, or a related field.
• 10-15 years of experience in systems engineering, with a significant focus on complex hybrid hardware/software systems.
• Demonstrated technical ownership of major cross-functional product development initiatives.
• Comfort with complex algorithms in the robotics domain - finding, evaluating, and applying algorithms in mixed language (C++/Python) systems.
• Understanding of considerations regarding mechanical mounts, power and RF, and ingress protection.
• Expertise in the integration and performance characterization of passive sensing systems (e.g., perception, localization, mapping) and/or active robotic systems (e.g., navigation, control).
• Proven track record of defining and verifying system requirements for complex autonomous systems.
• Strong communication skills, particularly in writing documents that identify critical requirements and explain challenging problems clearly.
• Persistence and calm leadership in an agile work environment.

About us

TeleTracking began with a simple but powerful belief that no one should wait for the care they need. More than a slogan, it’s a promise to continually improve healthcare.

TeleTracking builds groundbreaking technology incorporating deep clinical expertise. Our solutions are used in the nation’s largest healthcare systems and around the world to positively impact patients, families and communities.

What’s your contribution to the TeleTracking story?

When you choose to bring your passion and skills to help achieve our purpose, you’ll be part of a team that understands that there’s a human life behind every data point.   Your skills, curiosity, and compassion—will help fuel our innovation and achieve the TeleTracking promise of revolutionizing modern healthcare. 

About the role

The Director of Data Engineering is responsible for defining and executing the long-term technical strategy of the enterprise data platform while ensuring reliable, secure, and scalable day-to-day operations. This role combines deep technical leadership, architecture ownership, client engagement, cross-functional collaboration, and team management.

What you will do

Architecture & Delivery Oversight

• Oversee the design, development, and delivery of data pipelines, platform enhancements, and large-scale data solutions.
• Review engineering designs, remove technical blockers, and lead architectural decision-making.
• Ensure all technical solutions support scalability, performance, reliability, and cost-efficient operations.

Strategy & Platform Architecture

• Define the long-term data platform vision, including data lake/warehouse strategy, governance frameworks, data modeling, and technology tooling.
• Drive strategic alignment between platform architecture and organizational goals.
• Establish and enforce architectural standards ensuring consistency and future platform growth.

Technical Leadership

• Own the overall technical strategy while managing critical operational priorities.
• Define and approve technical and behavioral acceptance criteria.
• Participate in client VOC discussions to gather requirements.
• Lead architecture and system design reviews.
• Guide engineering best practices.
• Drive cloud cost-optimization efforts.
• Partner with business leaders to define ROI and platform investment impact.
• Develop and manage budget for the department, including employee, contractor and cloud spending.

Stakeholder & Cross-Functional Collaboration

• Collaborate with product, analytics, ML, engineering, and executive leadership.
• Translate business objectives into scalable technical solutions.
• Influence roadmap prioritization based on business and technical needs.
• Participates in focused technical discussions with key clients.

Vendor Management

• Act as a technical and business liaison with vendors.

Operations, Governance & Optimization

• Ensure platform reliability, data quality, observability, and compliance.
• Lead governance activities including audits and access reviews.
• Serve as the ISO audit point of contact.

People Leadership & Team Management

• Hire, mentor, and develop data engineering talent.
• Establish performance expectations and foster a culture of quality and accountability.

What we look for

• 7 + years of experience in data architecture, cloud-based data infrastructure, distributed systems, and building reliable data pipelines that support analytics and AI/ML workloads.
• Strong expertise in data architecture, cloud data platforms, and building scalable data pipelines using technologies such as AWS/Azure/GCP, Snowflake, Databricks, or Spark.
• Experience building and operating large-scale data pipelines.
• Proven engineering leadership and cross-functional collaboration skills.
• Experience aligning data strategy with business outcomes.
• Experience in regulated industries such as healthcare or education. (preferred)
• Background in cloud cost optimization and platform modernization. (preferred)

Education

• Bachelor's in computer science, computer information or any related discipline with equivalent combination of work and experience. (required)
• Master's in computer science, computer information or any related discipline (preferred)

Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.