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# Forward Deployed Engineer - Product

Canonical URL: https://nextmove.md/fde/jobs/5a324b59befbcd91

Synthio Labs posts a FDE role to integrate and configure the product in San Francisco, CA with no pay posted. The Forward Deployed Engineer – Product deploys and customizes commercial analytics solutions with pharma clients, translating business questions into analyses, data models, and product features. Read from the employer’s posting on November 8, 2026.

- [Synthio Labs](https://nextmove.md/fde/companies/synthio-labs)

Posted Mar 6, 2026 by Synthio Labs · open on Gem as of Nov 8, 2026

Pay not posted San Francisco, CA Full-time

The Forward Deployed Engineer – Product deploys and customizes commercial analytics solutions with pharma clients, translating business questions into analyses, data models, and product features.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F5a324b59befbcd91&placement=top)
- [View posting at Synthio Labs](https://jobs.gem.com/synthio-labs/am9icG9zdDreyN5OmlJ8Amg4zwXe29M8)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

Not posted

Mid-level FDE postings, 106 postings: the middle 50% of posted pay is $123K to $162K, median $149K.

### The work

Integrates and configures it

Balance **Mostly building**

Project stages

1. Pre-sales (not covered)
2. Proof of concept (not covered)
3. Implementation
4. Operations (not covered)

- **Coding**: Prototypes and scripts

- **Builds for**: Both

- **Level**: Mid

- **Role**: Individual contributor

### What they ask for

Experience

- **0+ years** analytics, consulting, data science, or data engineering specifically in the pharma industry (minimum)
- **3+ years** analytics, consulting, data science, or data engineering specifically in the pharma industry (maximum)

Background

- **Implementation and data engineering**
- **Consulting**

### Do you meet what the posting states?

The posting reads as a mid-level role. What level are you at now?

The job is in San Francisco, CA. Could you work there?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: San Francisco, CA

- **Employment type**: Full-time

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## The job description from Synthio Labs

Posted by Synthio Labs on Mar 6, 2026

** *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**.

[View posting at Synthio Labs](https://jobs.gem.com/synthio-labs/am9icG9zdDreyN5OmlJ8Amg4zwXe29M8)

## About Synthio Labs

Synthio Labs builds multimodal AI agents and data tools for pharmaceutical field teams, healthcare professionals, patients, and market research.

Seed · 10–50 people

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