5 Geospatial Analytics Jobs

As the Senior Manager, Sales for the SEA (Southeast Asia) region, you will be responsible for developing and executing sales strategies, fostering key client relationships, and driving revenue growth across the SEA region. The ideal candidate will have a deep understanding of the Telecom and ISP landscape , a proven track record in enterprise/B2B sales. You will be responsible for hunting new business opportunities, managing existing accounts, and executing sales strategies to expand our market share. This role involves extensive engagement with telecom operators, ISPs, and network infrastructure providers. Key Responsibilities: Own and drive sales strategy, pipeline development, and revenue growth for the SEA region. Identify, engage, and close new business opportunities with telecom operators, ISPs, and related enterprises. Establish strong relationships with C-level and senior decision-makers in target accounts. Lead end-to-end sales cycles from prospecting and presentations to negotiation and closure. Collaborate with the solutions, pre-sales, and product teams to deliver compelling value propositions. Achieve and exceed quarterly and annual revenue targets. Provide accurate forecasts and sales performance updates to leadership. Represent Lepton at regional events, conferences, and client meetings Key Requirements: 5+ years of B2B enterprise sales experience, with a strong focus on Telcos and ISPs. Proven success in selling technology solutions such as GIS, OSS/BSS, network planning tools, or geospatial analytics. Strong understanding of telecom ecosystem, network rollout processes, and digital transformation initiatives in the SEA region. Demonstrated ability to open new markets and close large strategic deals. Excellent communication, negotiation, and stakeholder management skills. Willingness to travel extensively across Southeast Asia. Bachelor&aposs degree in Engineering, Business, or a related field (MBA preferred). Nice to Have: Prior exposure to enterprise SaaS or cloud-based platforms in the telecom domain. Show more Show less

As a Climate Tech Sales Lead, you will be an integral part of the founding team, responsible for establishing and developing the sales function. Your main focus will be on enterprise sales, where you will play a crucial role in identifying potential clients, engaging with them, and ultimately closing strategic deals. Reporting directly to the founders, you will have the opportunity to shape the go-to-market strategy of a high-growth company dedicated to satellite intelligence and climate solutions. Your key responsibilities will include market development and lead generation, client engagement and relationship building, sales execution and closure, as well as strategy development and collaboration with the founding team. You will work closely with senior decision-makers in various industries such as renewables, industrial agriculture, and FMCG, delivering tailored pitches and nurturing long-term partnerships. The ideal candidate for this role will have 5-10 years of experience in B2B enterprise sales, with a background in industries such as insurance broking, renewable energy services, agri-tech, SaaS, or consulting. You should have a proven track record of success in full-cycle ownership roles, along with experience in handling long, consultative sales cycles and multi-stakeholder deals. Exposure to satellite data, geospatial analytics, or environmental solutions would be a bonus. To excel in this role, you should possess a strong existing network of decision-makers in relevant industries, excellent storytelling and negotiation skills, and an entrepreneurial mindset. Collaboration with cross-functional teams and direct interaction with founders will be key aspects of this position. A bachelor's degree in Business, Engineering, Agriculture, Environmental Science, or a related field is required, while an MBA or advanced degrees are advantageous but not mandatory. If you are energized by the prospect of shaping a company's sales strategy and building impactful commercial partnerships, we encourage you to apply for this exciting opportunity.,

We are seeking a talented and experienced Senior Data Scientist specializing in handling massive tabular data on Large Language Models (LLMs) to join our clients team Mobilewalla, a global, fast-growing consumer data and technology company headquartered in Atlanta, GA, USA. You will play a crucial role in leveraging your expertise in tabular data analysis and LLMs to extract insights, build predictive models, and drive data-driven decisions at scale, especially for our Telco Vertical product. Collaborating closely with fellow engineers, you will contribute to the evolution of our platform by developing large-scale systems that process and act on massive amounts of data both in real-time and offline. Responsibilities: Utilize Large Language Models: Harness the power of Large Language Models (LLMs) to analyze massive volumes of tabular data efficiently and effectively. Tabular Data Analysis: Apply advanced statistical techniques and machine learning algorithms to uncover patterns, trends, and anomalies in complex tabular datasets. Predictive Modelling: Develop and deploy predictive models using LLMs to forecast future trends, identify potential risks, and optimize business outcomes based on large-scale tabular data. Data Handling and Pre-processing: Lead efforts in cleaning, pre-processing, and transforming raw tabular data to ensure quality, consistency, and scalability for analysis. Collaborative Problem-Solving: Collaborate closely with cross-functional teams to understand business challenges, formulate data-driven solutions, and drive actionable insights from tabular data. Product Enhancement: - Work closely with product managers to identify market trends and customer needs, translating them into actionable data science projects. - Provide data-driven recommendations to improve product features, user engagement, and overall customer satisfaction. Communication and Visualization: Effectively communicate findings, insights, and recommendations to non-technical stakeholders through clear visualizations, reports, and presentations. Mentorship and Leadership: Provide guidance, mentorship, and technical leadership to junior data scientists and team members, fostering a culture of learning and innovation. Qualifications: Educational Background: - Masters or Ph.D. in Data Science, Statistics, Computer Science, or a related field. Large Language Models (LLMs): Extensive experience working with Large Language Models (LLMs) such as GPT (Generative Pre-trained Transformer) for processing and analyzing tabular data at scale. Programming Proficiency: Strong proficiency in programming languages such as Python or R, with expertise in libraries such as PySpark, Pandas, NumPy, scikit-learn, and TensorFlow/PyTorch for data manipulation, analysis, and modeling. Experience: - Proven track record of at least 4-5 years in a data science role with a focus on Telco competitive intelligence products. - Strong experience in applying machine learning algorithms and statistical modeling in the Telco domain. Technical Skills: - Proficiency in programming languages such as Python or R. - Hands-on experience with relevant machine learning libraries (e.g., TensorFlow, PyTorch, PySpark) and data manipulation tools. Domain Knowledge: - In-depth understanding of Telecommunications industry trends, challenges, and emerging technologies. - Familiarity with Telco-specific datasets and data sources. Preferred Qualification: - Experience with Location Intelligence, including geospatial analytics, GIS tools, and the application of location-based data in Telco products. Collaboration: - Proven ability to collaborate effectively with cross-functional teams, including product management, engineering, and business stakeholders. Communication Skills: - Excellent communication skills with the ability to present complex technical findings in a clear and understandable manner. If you are a passionate & innovative problem solver with expertise in Telco products, we invite you to join the team and contribute to the success of our cutting-edge products in the telecommunications space.,

We're Hiring: GIS Consultant Location: Vijayawada Experience: 5-10 Years | Type: Full-Time | Industry: GIS, Remote Sensing, Spatial Analytics Are you passionate about spatial data, remote sensing, and geospatial intelligence? Do you have experience integrating GIS with AI/ML and public data platforms? Join our growing team and be a part of transformative, data-driven projects. Role Overview We are looking for a GIS Consultant with strong technical skills and domain expertise to deliver impactful geospatial solutions across areas like urban planning, environmental monitoring, and AI integration. Key Responsibilities Develop GIS-based analytics and spatial data integration strategies Design interactive maps, geospatial dashboards, and predictive spatial models Integrate GIS solutions with AI and machine learning workflows Support data governance frameworks for geospatial data security and privacy Work on land use analysis, environmental monitoring, and urban planning projects Required Skills Proficiency in GIS tools: ArcGIS, QGIS, Google Earth Engine Expertise in spatial AI, remote sensing, and big data geospatial analytics Hands-on experience with geospatial databases: PostGIS, GeoServer, Spatial SQL Understanding of GIS policy frameworks, open data standards, and regulations Ability to integrate GIS with government or public data platforms Preferred Certifications Certified GIS Professional (GISP) Esri Technical Certification (ArcGIS) Certifications in Remote Sensing or Geospatial Data Science

Looking for Senior Business Development Manager to lead business development, sales, and client engagement efforts across our software and analytics product lines. Strong experience in enterprise software sales Bachelors or Masters degree in Business, Geoinformatics, Remote Sensing, Earth Sciences, Engineering, or related fields. - 15+ years of total experience in business development and sales and minimum 8 to 10 years of experience with a strong focus on enterprise software, SaaS solutions, or geospatial analytics. - Demonstrated success in handling B2B and B2G sales, including defense and government sectors. - Understanding of GIS tools and platforms (e.g., ArcGIS, ERDAS, ENVI, MapInfo) . - Experience with sales cycles for analytics platforms, cloud-native applications, or Earth Observation services. - Excellent communication, presentation, and stakeholder management skills. - Ability to work with cross-functional teams including product, engineering, and delivery. P