Jobs at DeepIntent

Develop and maintain manual and automated tests across UI, APIs, databases, and end-to-end workflows. Build test automation with Python, Playwright, pytest, and Robot Framework; integrate tests into Jenkins CI/CD pipelines; validate data integrity; investigate failures and defects; and collaborate with engineering, product, and DevOps teams. The role also supports testing AI/LLM features, including response quality, tool interactions, retrieval, and regression behavior.

Build and maintain full-stack features using React, TypeScript, Java, Spring Boot, REST, and GraphQL. Develop accessible interfaces, backend APIs, SQL queries, and data-processing workflows. Write tested code, review contributions, troubleshoot performance, validate AI-generated code, and collaborate with Product, UX, QA, and engineering teams in an Agile environment. Support production systems while applying data privacy and AI security practices.

Leads front-end architecture and development for complex data- and AI-driven applications. Owns UI scalability, performance, accessibility, monitoring, build pipelines, component libraries, and cross-browser compatibility. Establishes engineering standards, reviews code, mentors engineers, defines technical roadmaps, and collaborates across Product, UX, and Backend. Builds resilient interfaces for real-time and non-deterministic AI outputs, including streaming, loading states, fallbacks, and error handling.

Provides technical leadership across backend teams, architecting high-throughput distributed systems with Java and Spring Boot. Leads cross-team initiatives, mentors engineers, and drives best practices in APIs, testing, security, observability, and healthcare data privacy. Builds Redis- and Kafka-based systems, investigates production issues, and integrates AI capabilities including LLMs, RAG, agentic workflows, and MCP. Requires extensive experience with cloud platforms, containers, databases, CI/CD, and scalable event-driven architectures.

Build scalable backend services, REST APIs, data architectures, reporting APIs, and batch or streaming pipelines using Java, Spring Boot, Kafka, and cloud technologies. Establish DataOps practices, optimize low-latency systems for performance and cost, support analytics and machine learning teams, and uphold engineering, security, privacy, and healthcare compliance standards. The role also requires responsible use of AI tools across the software development lifecycle.

Designs and maintains scalable automated testing frameworks for UI, APIs, databases, and end-to-end applications. Develops tests with Python and automation tools, integrates testing into CI/CD, validates complex data pipelines, investigates failures, and collaborates with engineering and product teams. The role also applies AI-assisted engineering, GenAI, and LLM evaluation techniques to improve test coverage, quality, reliability, and productivity.

Provides technical leadership for high-throughput backend systems built with Java and Spring Boot. Owns distributed-system architecture, Redis and Kafka integrations, cloud infrastructure, observability, production reliability, and cross-team technical initiatives. Leads AI integration including LLM features, agentic workflows, RAG, MCP, and AI-assisted development. Mentors engineers, establishes engineering standards, investigates complex incidents, and partners on technical strategy.

Lead backend architecture for a data and analytics platform using Java and Spring Boot. Design secure, scalable, multi-tenant distributed systems, data pipelines, APIs, messaging, workflows, observability, and AI-powered features. Drive cross-team technical initiatives, production reliability, engineering standards, privacy, security, and responsible AI development while mentoring engineers and shaping the technical roadmap.

Leads client analytics initiatives for pharmaceutical and agency accounts, delivering measurement strategies, custom reports, performance insights, and data-driven recommendations. Presents complex findings to clients, manages KPIs and optimization discussions, supports onboarding, and serves as a consultative analytics partner. Collaborates cross-functionally on automation, AI-enabled workflows, process improvements, and client priorities while ensuring data accuracy and timely deliverables.

Own security architecture and enforcement across Linux, cloud, Kubernetes, containers, CI/CD, and AI systems. Responsibilities include infrastructure hardening, threat detection, identity and access controls, Terraform governance, AI guardrails, supply-chain security, vulnerability management, incident response, compliance, and automated policy controls. The role partners closely with engineering teams to implement secure-by-default systems, improve monitoring, and reduce security risks without slowing development.

Leads product marketing for DeepIntent’s healthcare marketing platform and data products. Owns positioning, messaging, product launches, go-to-market strategy, competitive intelligence, packaging, pricing input, sales enablement, and revenue-linked KPIs. Partners with Product, Sales, Client Success, and Integrated Marketing while leading and developing the product marketing team. The role requires extensive enterprise technology marketing experience, strong pharma commercialization knowledge, and the ability to translate data science and machine learning capabilities into commercial value.

Deploys and maintains Kubernetes-based microservices infrastructure, CI/CD pipelines, monitoring, AWS services, databases, and distributed data systems. Automates administration with Bash or Python, manages Linux environments using Ansible and Terraform, troubleshoots networking and load balancing, and partners with developers to improve application reliability and performance.

Build and operate scalable MLOps infrastructure across on-premises data centers and GPU clusters. Responsibilities include migrating ML workloads, managing model tracking and versioning, developing ML-focused CI/CD pipelines, monitoring model performance and infrastructure, operating Kubernetes-based deployments, and supporting LLM fine-tuning, vector databases, RAG, and inference optimization. The role partners closely with data science, AI engineering, product, and business teams.

The Director of Client Analytics will manage client interactions, lead measurement initiatives, and develop a diverse analytics team to improve healthcare campaign outcomes.

Responsible for building and operating data architectures, creating data pipelines, and implementing DataOps practices to support data scientists and engineers.

The Sr. Director, Enterprise Sales will lead partnerships with pharmaceutical companies, integrating DeepIntent's technology and data solutions to enhance client engagement and drive revenue growth.

Build and deploy AI agents and automations to streamline commercial and operational workflows. Work with stakeholders to identify opportunities, prototype LLM-based solutions, integrate via REST APIs, and maintain documentation and monitoring. Serve as technical liaison to business teams and iterate quickly on deployed tools.