Forward Deployed Engineer - Product
Overview:
We are looking for aForward Deployed Engineer – Productto work at the intersection of product, data, and client engagement. This role partners closely with customers and internal product teams to deploy, customize, and operationalize data-driven solutions in real-world commercial environments. You will combineanalytical problem solving, data engineering, and product thinkingto translate complex business questions into scalable product features and insights. The role requires hands‑on experience withSQL, data analysis, and modern AI/LLM tools, along with a strong understanding ofpharmaceutical commercial data and analytics workflows .This position is ideal for individuals who enjoy solving ambiguous problems, working closely with clients, and shaping the evolution of a product through real‑world deployments.
Responsibilities:
Client-Facing Product Deployment Work directly with clients and internal teams to implement and customize product solutions for commercial analytics use cases. Translate client business questions into data models, analyses, and product features. Serve as the technical bridge between client teams, product, and engineering. Data Analysis and Insight Generation Write and optimizeSQL queriesto analyze large healthcare and commercial datasets. Conduct exploratory data analysis to identify patterns, opportunities, and insights. Build analytical workflows that support product capabilities and client needs. AI-Enabled Analytics UseLLM-based tools and workflowsto accelerate data analysis, insight generation, and knowledge extraction. Design prompts and workflows that combine structured data with AI-assisted analysis. Support development of AI-enabled analytics features within the product. Product Collaboration Work with product and engineering teams to translate client feedback into scalable product features. Prototype analytical workflows that may evolve into product capabilities. Contribute to product roadmap discussions based on client usage and market needs. Stakeholder Communication Present insights and recommendations to internal and client stakeholders. Translate complex analytical outputs into clear business implications. Collaborate cross‑functionally across product, engineering, and founders directly.
Qualifications:
Education Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, Statistics, Economics, or a related quantitative field. Experience0–3 years of experience inanalytics, consulting, data science, or data engineering specifically in the pharma industry .Experience working withSQL and structured datasets .Basic programming skills inPython, R, or similar languages .Familiarity withLLM tools, AI-assisted analysis, or prompt-based workflowsis preferred. Domain Knowledge Exposure topharmaceutical or healthcare commercial data(sales, claims, patient‑level data, target lists etc.) is a pre‑requisite. Understanding ofcommercial analytics, forecasting, or market access workflowsis preferred. SkillsStrong analytical and problem‑solving abilities. Ability to work in ambiguous, client‑facing environments. Strong communication and storytelling with data. Comfort working across technical and business stakeholders. What Makes This Role UniqueWork directly with clients to shape how a product is used in real‑world environments. Blendconsulting-style analytics with product development .Applymodern AI and LLM tools to commercial data problems .Help build the next generation ofAI-driven analytics platforms for life sciences .