Top Tech Jobs & Startup Jobs

Lead a team of 4–5 data scientists building scalable geospatial AI and computer vision systems for satellite imagery. Define ML roadmaps, lead architecture and research, mentor scientists, and oversee end-to-end model delivery from data design through production, deployment, and monitoring. Establish experimental and documentation standards, collaborate with product and platform teams, and contribute to publications, patents, hiring, and project planning.

Lead product discovery, strategy, solutioning, and zero-to-one development for agriculture-focused data and AI products. Partner with engineering, design, data science, sales, and customer success teams to validate customer problems, define roadmaps, launch scalable solutions, and drive adoption. The role requires strong agriculture expertise, commercial judgment, analytical skills, and experience delivering complex products in a startup environment. Knowledge of remote sensing and geospatial technologies is advantageous.

Supports the design, analysis, documentation, and testing of satellite payload structures, optical mounts, enclosures, electronic packages, and mechanical ground support equipment. Responsibilities include CAD modeling, engineering drawings, configuration documentation, structural analysis summaries, and review materials. The intern collaborates with optics, electronics, systems, and mechanical engineering teams while gaining exposure to vibration, thermal, modal, and space-qualification considerations.

Finance Manager responsible for end-to-end controllership, accounting, consolidation, reporting, treasury, taxation, compliance, audits, investor reporting, fundraising support, and finance-process automation. The role manages financial close, subsidiaries, cash flow, budgeting, MIS, statutory filings, due diligence, and finance systems while partnering with investors, auditors, banks, advisors, and cross-functional teams. The position also leads and develops the finance team in a high-growth technology startup environment.

Develop and productionize computer vision and machine learning models for large-scale geospatial and satellite imagery applications. Own projects end to end, including dataset creation, experimentation, model training, evaluation, deployment, and monitoring. Work with Python, PyTorch, distributed training infrastructure, and large data pipelines while collaborating with MLOps, platform, product, and geospatial teams.

Own the AI/ML Platform product layer, defining its vision, roadmap, requirements, metrics, governance, evaluation, deployment, monitoring, and lifecycle workflows. Partner with data scientists, ML engineers, product teams, security, legal, and governance stakeholders to deliver reusable platform capabilities, improve adoption and reliability, and balance scalability, cost, and operational trade-offs.

Develop and maintain geospatial solutions using satellite imagery, raster and vector data, weather datasets, and geospatial databases. Responsibilities include Python-based raster processing, spatial data acquisition and quality assurance, algorithm development, database management, technical support, and collaboration with cross-functional teams. The role requires expertise in open-source geospatial tools, remote sensing, Google Earth Engine, PostgreSQL, and geospatial data formats.

Lead end-to-end development of production-grade geospatial machine learning and computer vision systems, from problem framing and experimentation through deployment and monitoring. Own technical roadmaps, mentor applied scientists, collaborate with product and platform teams, and develop scalable models using Python and PyTorch. Drive innovation in transformers, generative models, temporal modeling, multimodal fusion, and self-supervised learning while connecting ML metrics to business outcomes. Support hiring, technical documentation, publications, project management, and delivery across diverse Earth Observation applications.

Open talent-network opportunity for candidates interested in space technology, AI, geospatial intelligence, satellite systems, engineering, product, strategy, or operations. Applicants should be comfortable with ambiguity, complex problem-solving, ownership, and fast-paced environments. SatSure and KaleidEO review profiles for current or upcoming opportunities and contact candidates when there is a potential match.

Support management of space-borne and satellite system projects by maintaining plans, schedules, task tracking, risk registers, dashboards, and status reports. Coordinate engineering, QA/QC, supply chain, operations, vendors, and other stakeholders. Organize technical meetings, document decisions, track action items, support external testing and facility utilization, and help ensure project delivery meets quality, scope, budget, schedule, and mission objectives.