What You’ll Do:

In this role, you will take the lead in designing, building, and optimizing data pipelines, ensuring high-quality data integration and real-time analytics. As a Senior Staff Engineer, you will mentor and guide a team of data engineers, collaborate with cross-functional teams, and drive best practices for data architecture and engineering.

• Leadership & Mentorship:
  • Lead and mentor a team of engineers, ensuring technical excellence and continuous improvement.
  • Provide guidance on complex technical issues, and foster a culture of collaboration and innovation.
  • Develop and maintain data engineering processes, practices, and standards across the team.
• Data Architecture & Engineering:
  • Design and develop robust, scalable, and efficient data pipelines for ETL (Extract, Transform, Load) processes.
  • Architect data solutions and ensure seamless integration of data from diverse sources, both on-premise and in the cloud.
  • Optimize data storage, retrieval, and processing for performance and scalability.
• Collaboration & Stakeholder Management:
  • Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions that meet business needs.
  • Collaborate with the software engineering team to ensure smooth integration of data pipelines into applications.
• Data Quality & Governance:
  • Ensure data integrity, quality, and consistency across systems.
  • Implement and enforce data governance policies and best practices, ensuring compliance with data privacy regulations.
• Continuous Improvement:
  • Stay updated with the latest trends in data engineering, big data technologies, and cloud platforms.
  • Drive automation, testing, and optimisation within data pipelines to improve overall efficiency.
• Technology Stack:
  • Lead the selection and implementation of appropriate technologies for data storage, processing, and retrieval (e.g., Hadoop, Spark, Kafka, Airflow).
  • Experience working with public clouds like GCP/AWS.
  • Proficient with SQL, Java, Spring boot, Python or at least one Object oriented language, Bash.
  • Experience with any of Apache open source projects such as Spark, Druid, Beam, Airflow etc. and big data databases like BigQuery, Clickhouse, etc.

Who You Are:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent work experience).
• 8+ years of experience in data engineering or related roles, with at least 2 years in a leadership or senior technical position.
• Extensive experience with data warehousing, ETL pipelines, data modeling, and data architecture.
• Strong experience working with large-scale data processing frameworks (e.g., Hadoop, Apache Spark, Kafka).
• Proficient in SQL, Python, Java, or other relevant programming languages.
• Hands-on experience with cloud-based platforms (AWS, GCP, Azure).
• Familiarity with data orchestration tools like Apache Airflow or similar.
• Strong knowledge of databases (SQL and NoSQL) and data storage technologies.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills, with the ability to work effectively with both technical and non-technical teams.

What You’ll Do

DeepIntent is seeking a Director of Data Science to help lead our global data science organization and advance the next generation of data innovation in healthcare advertising technology. In this role, you will oversee a team focused on advanced modeling, optimization, and AI initiatives that enable healthcare marketers to connect patients, providers, and brands responsibly and effectively.

The Director, Data Science will help shape and execute data science initiatives that drive predictive, privacy-safe insights to power precision marketing and measurable outcomes. This role will manage and collaborate with data scientists across the U.S., Europe, and India while partnering closely with product, engineering, and commercial teams to deliver scalable, data-driven solutions.

Team Leadership & Strategic Execution

• Partner with executive and cross-functional leadership to translate data science capabilities into scalable, compliant, and commercially impactful solutions.
• Help execute the global data science roadmap supporting DeepIntent’s mission to transform healthcare marketing through data and technology.
• Lead and mentor a distributed team of data scientists across the U.S., Europe, and India.
• Foster a culture of innovation, experimentation, and collaboration across teams.
• Contribute to strategic planning and help identify new opportunities where advanced analytics and AI can drive business impact.

Healthcare-Focused Data Science & AI

• Develop and optimize predictive and causal models for patient and provider targeting, audience segmentation, and campaign performance measurement.
• Oversee the development and deployment of machine learning models supporting real-time bidding, healthcare audience modeling, and privacy-first identity resolution.
• Integrate real-world data (RWD), claims data, and digital engagement signals into scalable machine learning pipelines.
• Ensure models and data science practices align with healthcare privacy standards including HIPAA and other global regulatory frameworks.

Data Infrastructure & Governance

• Collaborate with engineering, product, and data partnerships teams to strengthen our data infrastructure supporting large-scale, multi-market model deployment.
• Implement best practices in feature engineering, reproducible research, and ML Ops to improve experimentation speed and reliability.
• Partner with legal and compliance teams to ensure responsible AI development and ethical use of healthcare data.

Cross-Functional Collaboration

• Work closely with Product, Engineering, Data Partnerships, and Commercial teams to design data-driven solutions that improve targeting precision, optimize media performance, and enhance client outcomes.
• Translate complex modeling outputs into actionable insights for internal stakeholders and clients.

Who You Are

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field 
• Master’s or Ph.D. in Computer Science, Statistics, Mathematics a plus
• 8+ years of experience in data science, machine learning, or advanced analytics roles.
• 3+ years of experience leading data science or analytics teams.Serve in a player-coach capacity, balancing hands-on data science work with managerial  responsibilities  
• Mentor and coach a team of 5 data scientists by providing ongoing feedback, supporting professional development, and fostering a collaborative, high-performance environment.
• Experience working with adtech platforms, or marketing analytics environments.
• Strong understanding of programmatic advertising, identity resolution; healthcare data ecosystem understanding a plus (claims, RWD, HCP and patient data).
• Advanced experience with Python, SQL, Spark, and modern machine learning frameworks (TensorFlow, PyTorch, XGBoost), LLM providers (Claude, OpenAI, Ollama)
• Strong foundation in statistics, causal inference, and measurement methodologies for media effectiveness and attribution.
• Excellent communicator capable of translating complex technical concepts to business stakeholders and clients.
• Experience working with compliance frameworks and privacy-aware data science practices.
• Comfort working in global, cross-functional environments across multiple time zones.
• Passion for applying data science and AI to improve healthcare marketing outcomes.

DeepIntent is proud to offer a competitive compensation package inclusive of a base salary range of $200,000 - $250,000. The base salary range takes into consideration each candidate's skills, experience and qualifications. In addition, we offer an annualized bonus plan and competitive benefits as well as many other company offerings.

What You’ll Do:

• Play a key role in ensuring product quality, reliability, and performance.
• Define test strategies and lead automation initiatives.
• Design and execute manual and automated tests for UI, API, and database layers.
• Develop and maintain test automation frameworks using Selenium, Playwright, Robot Framework, or similar tools.
• Write, execute, and optimize automated test scripts integrated with CI/CD pipelines (e.g., Jenkins).
• Perform API and database validations, analyze logs, debug failures, and report defects clearly.
• Collaborate closely with developers, product managers, DevOps, and stakeholders to ensure end-to-end quality.
• Write SQL queries to validate data across databases and ensure overall data accuracy, consistency, and integrity.
• Support end-to-end data validation across platforms such as ClickHouse, Spark, BigQuery, and MySQL.
• Apply strong coding, testing, and problem-solving skills to identify risks and improve test coverage.
• Contribute to the continuous enhancement of QA tools, frameworks, processes, and automation infrastructure.
• Work in a dynamic and agile development environment and adapt to changing requirements.
• Support performance testing initiatives using relevant automation and monitoring tools.

Who You Are:

• Bachelor’s degree in engineering or equivalent from a well-known Institute / University.
• 3.5+ years of hands-on experience with QA Automation Framework development & design (Preferred language: Python).
• Strong understanding of software testing methodologies and QA best practices.
• Experience with Python (preferred), or any other programming language with strong coding fundamentals, Shell scripting, Selenium / Playwright, QA Automation and Software Testing.
• Experience in Software Development / SDET roles (must-have).
• Strong problem analysis, troubleshooting, and debugging skills.
• Strong SQL and database validation skills, with the ability to identify data issues and maintain high data quality.
• Familiarity with ClickHouse, Spark, BigQuery, and MySQL is highly preferred.
• REST/API testing experience is a plus.
• Experience integrating automated tests with CI/CD pipelines and improving test coverage metrics.
• Experience working in Linux/Unix environments.
• Basic understanding of operating systems.
• Exposure to Dockerization, Virtualization, and containerized deployments is a plus.

As an Agile Project Manager (APM), you will drive the day-to-day execution rhythm for one or more delivery teams. You will ensure clarity, structure, and flow across all Agile ceremonies, maintain strong backlog hygiene, and support teams in delivering predictable, high-quality outcomes.
This role is critical in operationalising DeepIntent’s delivery methodology at the team level. Where Senior PMs operate across product lines and strategic programs, the APM ensures execution excellence within each team—making sure the fundamentals are strong, the work is well-scoped, and the team is consistently unblocked.
You will play a key role in our operating model, ensuring that Agile practices, Jira governance, and modern automation-first principles are applied effectively to maximise team throughput and quality.

• Execution & Delivery Leadership
  • Own and facilitate team-level Agile ceremonies: refinement, planning, daily standups, reviews, and retrospectives.
  • Ensure stories meet high-quality bars (acceptance criteria, categories, estimation readiness).
  • Maintain backlog hygiene and ensure a steady pipeline of well-defined work.
  • Track sprint commitments, highlight potential delivery risks, and proactively surface blockers.
  • Support teams in strengthening estimation discipline, predictable delivery, and iterative progress.
• Cross-Team Collaboration & Requirement Clarity
  • Partner closely with Product Managers and Engineering Managers to ensure requirements are complete, clear, and implementation-ready.
  • Help teams understand priorities, upcoming roadmap items, and cross-team dependencies.
  • Coordinate with other APMs/Sr PMs to align timelines, track inter-team handoffs, and resolve workflow friction.
• Process Discipline, Governance & Compliance
  • Ensure accurate capitalization tagging, Jira hygiene, and compliance with process standards.
  • Maintain documentation best practices (Confluence pages, release notes, workflow guides, etc.).
  • Uphold delivery operating model guidelines developed by the PMO.
• Reporting & Operational Insights
  • Generate foundational operational reports:
    • Team velocity
    • Burndown/burnup
    • Throughput
    • Sprint summaries
  • Provide concise status updates to PMs, EMs, and Senior PMs.
  • Support trend analysis at the team level to improve predictability and remove recurring blockers.
• AI-Enabled Productivity & Workflow Automation
  • Use AI tools (Claude, Cursor, Jira automation) to streamline repetitive operational steps.
  • Help identify opportunities for automation within ceremonies, reporting, and Jira workflows.
  • Contribute inputs to the broader Agentic Framework being developed by the Project Management team.

• 1+ years of experience in Agile project coordination, Agile delivery, or team-level project management in a technology/product environment.
• Solid understanding of Agile delivery rhythms and team execution patterns.
• Strong knowledge of Jira, Confluence, and basic reporting/dashboards.
• Ability to maintain structure, clarity, and organisation in fast-moving environments.
• Strong communicator who facilitates productive conversations and removes ambiguity.
• High emotional intelligence and comfort working with cross-functional teams.
• Interest in AI tools (Cursor, Claude) and willingness to adopt automation-first practices.
• Bonus: experience in healthcare, adtech, or data-centric product environments.

What You’ll Do:

We are looking for an Applied AI Engineer to embed directly with our US commercial and operational teams building a human and agentic “operating system” that powers how we work as a company. In this role, you will be a builder and a problem-solver — someone who translates day-to-day operational pain points into practical AI agent and automation solutions that free up capacity for higher-value work.

This is an ideal role for someone who is passionate about applied AI, comfortable working across business and technical teams, and excited to see their work make an immediate and measurable impact.

Build & Deploy AI Agents and Automations

• Design, build, and deploy AI agents that automate administrative and repetitive workflows across commercial operations. 
• Identify high-value automation opportunities by working directly with stakeholders to map processes and surface inefficiencies.
• Develop solutions using LLMs (e.g., OpenAI, Anthropic Claude), workflow automation tools, RESTful APIs, and Python scripting.
• Prototype, iterate, and ship working solutions quickly — moving from problem to deployed tool with minimal overhead.

Partner with Business Teams

• Serve as the technical point of contact embedded within commercial and PMO teams, building strong working relationships with non-technical stakeholders.
• Translate ambiguous business needs into clear technical requirements and executable solutions.
• Communicate progress, surface blockers, and present solutions in a way that is accessible to both technical and non-technical audiences.

Maintain & Document

• Create and maintain clear technical documentation for all tools, workflows, and integrations you build.
• Monitor deployed solutions and proactively identify opportunities to improve reliability, performance, and adoption.

Who You Are

• Bachelors or Masters degree in Computer Science, Mathematics or Engineering
• Hands-on experience with AI/LLM tools, including configuring and prompting models from providers such as OpenAI or Anthropic (i.e. you’ve successfully shipped a product or feature using Claude Code)
• 2+ years of hands-on software development experience, including internships, co-ops, or personal projects with deployed, real-world applications
• Comfortable working with RESTful APIs, MCP servers, and integrating third-party services.
• Scripting language (i.e. Python) proficiency — you can write scripts, build lightweight automations, and debug independently.
• Understanding of prompt engineering best practices.
• Naturally curious and proactive — you seek out problems, propose solutions, and don’t wait to be told what to build next.
• Strong communicator who can work fluidly across business and engineering functions.
• Comfortable with ambiguity — you can scope your own work and adapt as priorities shift.
• Based in or able to work effectively within Eastern Time (EST).

DeepIntent is proud to offer a competitive compensation package inclusive of a base salary range of $110,000 -$150,000. The base salary range takes into consideration each candidates skills, experience and qualifications. In addition, we offer an annualized bonus plan and competitive benefits as well as many other company offerings.