Forward Deployed Engineer - Product

About Synthio Labs

Agentic AI platform for Pharma GTM teams

Tech description:

We’re building large-scale, production-grade AI voice and chat agents for healthcare. Our stack includes Python, Node.js, TypeScript, React, and we run most of our workloads on AWS. On the voice side, we use Vapi, LiveKit, and Deepgram.

We leverage modern LLMs (GPT, Claude, Gemini) and work with both cloud and hybrid/on-prem deployments (think: complex VPCs, custom infra, tight security).

Some challenges we’re tackling:
- Real-time, compliant voice and chat with doctors and HCPs
- Voice evals (for pronunciation of complex medical terms, data from clinical trials etc.)
- Seamless, low-latency audio and text processing (Vapi, LiveKit, Deepgram)
- Secure integrations with EMRs, CRMs, and medical content systems
- Scaling AI while meeting strict privacy, audit, and explainability requirements
- Building infrastructure that’s modular and works in cloud or fully on-prem setups.

Job description:

**_We’re building the next generation of conversational voice and video AI for life sciences—intelligent with 100% regulatory compliance. Our AI medical experts help pharma teams engage doctors, support patients, and unlock insights faster than ever before. We’ve just raised our seed, signed our first customers, and are scaling fast. If you're excited about building real-world AI in an early stage startup and shape not just our product, but our identity and culture —this is your moment._**



**_We move like owners._** Everyone at SynthioLabs has the autonomy and the responsibility to drive projects, challenge decisions, and push things forward. We don’t wait for permission. If you see a gap, you fill it. If you see a better way, you try it.



**_We ask “why” until we get to the root._** We explore new ideas, research papers, every single edge case and anything that sharpens our understanding.



**_We use AI like a second brain._** From writing code to writing docs, debugging flows to exploring new ideas, AI is part of our daily rhythm. Everyone here gets hands-on with the tools, learns how to prompt better, and treats AI as a teammate.





## Overview



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



**Education**

- Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, Statistics, Economics, or a related quantitative field.



**Experience**

- 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.



**Domain Knowledge**

- 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.



**Skills**

- 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**.