Talent.com
Chief Technical Officer

Chief Technical Officer

SYD.co.inMumbai
3 days ago
Job description

Description :

As CTO, you will own the entire technical vision and execution for our satellite imagery-driven agri-tech startup. You will lead engineering, data science, and DevOps teams to deliver a world-class mobile platform for farmers, while building scalable infrastructure for in-house geospatial analytics. Your mandate is to maximize output (per Andy Groves 'High Output Management') by focusing on high-leverage activities, building systems, and mentoring talent.

High Output Management Principles Applied

  • Focus on managerial leverage : hire exceptional leads, establish rituals, and eliminate bottlenecks.
  • Define output metrics : uptime, farmer adoption, model accuracy, data pipeline SLAs.
  • Task-relevant maturity : delegate decisions based on individual competence & experience.
  • Build scalable systems instead of relying on individual heroics.

Job Summary :

Builds and scales satellite data and AI / ML infrastructure, ensuring robust IP development and protection. Owns end-to-end geospatial data pipelines and platforms powering all group businesses, with reliability, security, and accuracy at scale.

Roles & Responsibilities :

  • Architect, build, and scale multi-sensor satellite data pipelines (SAR, optical, thermal), ground ingestion, preprocessing, fusion, and real-time analytics.
  • Own AI / ML R&D to production : model design, validation, deployment (MLOps), monitoring, and continuous improvement for field-level accuracy
  • Define and deliver platform APIs and services consumed by product dashboards; ensure backward-compatible releases.
  • Establish IP strategy and execution : invention harvesting, patent filings, trade-secret frameworks, code provenance, and freedom-to-operate reviews.
  • Ensure data governance, privacy, and security : encryption, access control, anonymization, audit trails; steward compliant use of licensed geospatial / weather data.
  • Set platform SLAs / SLOs (uptime, latency, model accuracy); lead SRE, observability, incident response, and postmortems.
  • Optimize compute and storage economics across cloud / HPC; capacity planning, cost controls, and performance tuning.
  • Lead buildbuypartner decisions; manage vendors and strategic tech partnerships (academia, space agencies, hyperscalers).
  • Stand up rigorous Cal / Val programs with ground truth, agronomy inputs, and A / B experimentation frameworks
  • Recruit, mentor, and scale a world-class team (AI / ML, data, geospatial, platform, security); drive OKRs and engineering excellence.
  • Translate business needs into technical roadmaps and quarterly release plans; align with CEO / COO and Business Heads

    • Candidate Profile & Skill Requirements :

  • Leadership & Scale : 10+ years in software engineering leadership, ideally within startups or fast-scaling companies; proven ability to grow teams from <10 to 50+ while maintaining high output, accountability, and innovation. At least 5+ years leading at CTO, Head of Data, or Head of AI level.
  • Technical Depth : Deep expertise in mobile and cloud systems, with 10+ years in building and scaling data platforms. Strong background in system design, distributed systems, and data pipelines.
  • AI / ML Leadership : 3+ years helming AI / ML teams, with demonstrated scale-up of satellite / EO data systems and production ML pipelines serving millions of inferences daily. Skilled in AI / ML for Earth Observation : time-series analysis, computer vision, transformers, geospatial deep learning, model evaluation, and drift management.
  • Geospatial Engineering : Hands-on experience with geospatial stacks (GDAL, Rasterio, PostGIS / SpatiaLite, Sentinel, Landsat, SAR processing, atmospheric correction, data fusion, tiling, and caching).
  • MLOps & Platforms : Proficient in Kubernetes / Docker, Airflow, Kubeflow / MLflow, CI / CD, API gateways, feature stores, and scalable model deployment.
  • Data Architecture : Expertise in building and managing data lakes / warehouses, real-time streaming, vector DBs, and optimized caching layers for high-volume workloads.
  • Cross-Functional Collaboration : Excellent communicator with a proven ability to partner across sales, operations, product, and government relations in B2B / B2G and regulated environments.
  • Innovation & IP : Demonstrated track record of IP creation (patents, publications) and governance of invention disclosures, patent drafting, and code licensing

    • Industry Knowledge (Preferred) :

  • AgTech analytics, parametric / Index insurance data pipelines, and government / enterprise procurement dynamics.
  • Geospatial licensing, data localization / privacy norms, weather / IMD integrations, and Cal / Val best practices.

    • Personal Attributes :

  • Hands-on builder with strategic depth; bias for action and measurable outcomes.
  • Integrity, resilience, and ownership mindset.
  • Highly organized, detail-oriented, frugal with compute, and results-focused

    • (ref : hirist.tech)

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