Forward Deployed Engineer - Product

Location

India

Posted

20 hours ago

Salary

0

Seniority

Mid Level

Job Description

Forward Deployed Engineer - Product

Synthio Labs

Role Description We are looking for a Forward Deployed Engineer – Product to 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 combine analytical problem solving, data engineering, and product thinking to translate complex business questions into scalable product features and insights. The role requires hands-on experience with SQL, data analysis, and modern AI/LLM tools, along with a strong understanding of pharmaceutical 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 optimize SQL queries to 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: - Use LLM-based tools and workflows to 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 - Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, Statistics, Economics, or a related quantitative field. - 0–3 years of experience in analytics, consulting, data science, or data engineering specifically in the pharma industry. - Experience working with SQL and structured datasets. - Basic programming skills in Python, R, or similar languages. - Familiarity with LLM tools, AI-assisted analysis, or prompt-based workflows is preferred. - Exposure to pharmaceutical or healthcare commercial data (sales, claims, patient-level data, target lists etc.) is a pre-requisite. - Understanding of commercial analytics, forecasting, or market access workflows is preferred. - Strong 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 Unique - Work directly with clients to shape how a product is used in real-world environments. - Blend consulting-style analytics with product development. - Apply modern AI and LLM tools to commercial data problems. - Help build the next generation of AI-driven analytics platforms for life sciences.

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