About AiDash
AiDash is making critical infrastructure industries climate-resilient and sustainable with satellites and AI. Using our full-stack SaaS solutions, customers in electric, gas, and water utilities, transportation, and construction are transforming asset inspection and maintenance – and complying with biodiversity net gain mandates and carbon capture goals. Our customers deliver ROI in their first year of deployment with reduced costs, improved reliability, and achieved sustainability goals. Learn more at www.aidash.com.
We are a Series C climate techstartup backed by leading investors (including National Grid Partners, G2 Venture Partners, Lightrock, BGV, Marubeni, among others), and by our customers-turned-advocates (Duke Energy & National Grid Partners, among others)! We have been recognized by Forbes two years in a row as one of “America’s Best Startup Employers”. We are also proud to be one of the few climate software companies in Time Magazine’s “America’s Top GreenTech Companies2024”.
Join us in creating a greener, cleaner, and safer planet from space!
The Role
We are seeking a highly motivated and experienced individual to lead our vendor management team and spearhead the growth and development of our vendor network, ensuring the highest quality geospatial data annotation, labelling, and segmentation for our cutting-edge AI projects.
In this role, you will be responsible for building and managing a network of geospatial vendors, ensuring timely project delivery, and maintaining strict quality standards within complex geospatial datasets. This role demands both outsourcing partners and project management expertise and a deep understanding of geospatial data and best practices for data annotations.
How you'll make an impact:
- Define the strategic vision for geospatial vendor management, aligning it with overall company goals and AI initiatives
- Cultivate strong and strategic relationships with key vendors, fostering trust, open communication, and continuous improvement
- Lead a high-performing team of vendor POCs, fostering a collaborative and results-oriented environment
- Oversee the entire vendor management lifecycle, ensuring timely project delivery, budget adherence, and unwavering quality standards
- Implement and maintain a rigorous quality assurance program specifically designed for geospatial data, guaranteeing accuracy and consistency
- Analyse vendor performance metrics, identify improvement opportunities, and implement corrective actions to optimize efficiency and effectiveness
- Provide expert guidance and technical support to vendors, ensuring they understand project requirements and deliver exceptional results
- Source, qualify, and onboard new vendors with expertise in geospatial data annotation, labelling, and segmentation, particularly in areas like satellite and aerial imagery, LiDAR, and point clouds
- Negotiate contracts and service level agreements (SLAs) with vendors, considering specific geospatial data complexities
- Assign projects to vendors based on their expertise, capacity, cost factors, and specific geospatial data requirements
- Monitor project progress, track key performance indicators (KPIs) specific to geospatial data quality and accuracy, and identify and address any potential issues promptly
- Stay up-to-date on the latest geospatial data annotation tools, technologies, and best practices, including domain-specific quality metrics
- Prepare reports and presentations on vendor performance and project metrics, highlighting geospatial data quality achievements and challenges
- Contribute to the development and implementation of vendor management policies and procedures tailored to geospatial data projects
What we're looking for:
- Minimum 8+ years of experience in project management, preferably within the geospatial data domain or a related field like remote sensing or photogrammetry
- Proven experience in vendor management and relationship building, with a focus on geospatial data vendors.
- Strong negotiation and communication skills
- In-depth understanding of geospatial data, including imagery, LiDAR, point clouds, and their associated annotation best practices
- Experience with geospatial data quality assurance methodologies and quality control processes specific to annotation and segmentation
- Proficient in project management tools and methodologies
- Ability to work independently and as part of a team, effectively managing and collaborating with geographically dispersed vendors
- Strong analytical and problem-solving skills, adept at handling complex geospatial data issues
- Excellent written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical audiences
We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.
We are committed to providing an inclusive and accessible interview experience for all candidates. Please let us know if you require any accommodation during the interview process, and we will make every effort to meet your needs.
