Deep Cognition is a privately-held company founded in 2017, headquartered in Dallas, Texas, U.S.
The company’s mission is to transform documents into data by leveraging generative AI and large language models (LLMs).
PaperEntry AI
Deep Cognition serves verticals including customs brokerage, logistics/freight forwarding, government agencies, and enterprise data-entry automation.
As a technology-centric company, Deep Cognition is positioned to scale its product and engineering operations globally, and the Bangalore base will play a key role in building the next chapter of growth.
Key ResponsibilitiesTechnology Strategy & Vision
- Define and own the global technical roadmap for Deep Cognition, aligning with the business objective of automating document processing across industries using generative AI and LLMs.
- Assess and adopt emerging technologies (AI/ML, LLMs, computer vision, cloud infrastructure, robotics process automation) that enhance the platform’s capability, accuracy and scalability.
- Set architecture standards, scalability and security policies, and ensure global operational readiness for high-volume document processing.
- Provide technical leadership and mentorship across the engineering organisation, instilling a culture of innovation, quality, and continuous improvement.
Product & Engineering Leadership
- Oversee the evolution of the PaperEntry AI platform—from ingestion through extraction, validation and export—ensuring the product meets enterprise requirements for accuracy, reliability, security and integration. (Note: the product achieves claims such as “99% accuracy”, “handles any document format”, “no templates or training data required”).
- Drive best practices in software engineering, AI/ML model development, MLOps, data engineering, DevOps, cloud native infrastructure, and CI/CD.
- Build and scale the Bangalore engineering hub: recruit, retain and develop top technical talent; structure teams for rapid delivery; establish processes for product releases, quality assurance and operations.
- Collaborate with Product, UX/Design, Sales and Customer Success teams to ensure that the product roadmap supports customer needs, vertical-specific workflows (e.g., customs brokerage, government document automation) and market differentiation.
AI/ML & Innovation
- Lead R&D efforts to advance generative AI, document-understanding, table and line extraction, multilingual processing, and “no template/training-data” workflows — core differentiators for Deep Cognition’s platform.
- Oversee the lifecycle of AI models: data ingestion, model training, validation, deployment, monitoring and retraining; integrate MLOps practices and governance.
- Ensure AI models and systems comply with data-privacy, security and ethical guidelines — especially given usage in sensitive areas like government agencies and customs.
- Explore and pilot new applications of AI beyond document processing where relevant, creating adjacent growth opportunities.
Operational Excellence & Stakeholder Engagement
- Establish engineering and operational KPIs: system uptime, throughput (pages/documents processed), accuracy metrics, time-to-value, cost savings, and scalability metrics.
- Oversee infrastructure budgeting, vendor relationships, licensing and technology procurement.
- Be a public face of technology: engage with customers, investors, partners and prospects; articulate Deep Cognition’s technical vision in customer demos, at industry events and in partner engagements.
- Work closely with leadership to support business development, client onboarding, enterprise deployments and global expansion into new geographies and verticals.
Required QualificationsExperience
- Minimum 12+ years in software engineering, AI/ML or product development, with at least 5 years in senior leadership roles (such as VP Engineering, Head of Technology, CTO).
- Proven experience building and scaling engineering organisations (preferably in India or globally distributed).
- Track record of delivering enterprise-grade SaaS, AI/ML or data-processing products in production, ideally within document processing, logistics, customs, government or high-volume data workflows.
- Deep experience in cloud platforms (AWS, Azure, GCP), microservices architecture, distributed systems, APIs, data pipelines, and AI/ML deployment.
Technical Skills
- Strong programming background (Python, Java, or equivalent); hands-on experience with AI/ML frameworks, computer vision, NLP, OCR and generative models.
- Architecting solutions for large-scale document processing, high accuracy extraction, data ingestion, and complex workflow automation.
- Good understanding of MLOps, DevOps, CI/CD, monitoring, cloud native infrastructure and security/compliance best practices.
- Ability to balance R&D innovation with production engineering rigour.
Leadership & Soft Skills
- Excellent communicator and collaborator—able to translate technical strategy into business outcomes; interact effectively with product, sales, operations and executive leadership.
- Strong decision-making in a fast-paced, growth-oriented startup/scale-up environment; comfortable with ambiguity and driving from first principles.
- Mentorship and team-building focus: able to attract, develop and retain talent, foster a culture of ownership, innovation and high performance.
- Customer-centric mindset: understand how technology impacts real user workflows (for example, customs brokerage, document automation) and drive solutions accordingly.
Preferred Qualifications
- Experience working in a global setting with remote/distributed teams (India + US + other geographies).
- Prior startup, scale-up or venture-backed company experience, especially in AI/ML, SaaS or data automation verticals.
- Familiarity with document processing, customs/logistics, government workflows, or intelligent automation markets.
- Prior exposure to fundraising, investor technology due diligence or enterprise-sales support.
What We Offer
- Opportunity to lead and build the Bangalore technology hub for a disruptive AI company whose platform powers real-world automation of documents into data.
- Executive compensation package including competitive base salary, equity, and performance incentives.
- High-impact, strategic role: shape product, engineering and go-to-market direction in a rapidly growing company with global ambitions.
- Collaborative, innovation-driven culture: work alongside talented engineers, product experts and business leaders, with a global mindset and mission-driven focus.
