> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Founding Forward Deployed Engineer

Canonical URL: https://nextmove.md/fde/jobs/83b1a36d98d499c3

Tamarind Bio posts a FDE role to build what the customer runs in San Francisco, CA with no pay posted. Founding Forward Deployed Engineer owning the full customer deployment arc, from technical discovery and pilots through production rollout and expansion. Read from the employer’s posting on November 8, 2026.

- [Tamarind Bio](https://nextmove.md/fde/companies/tamarind-bio)

Posted May 10, 2026 by Tamarind Bio · open on Ashby as of Nov 8, 2026

Pay not posted San Francisco, CA On-site Full-time

Founding Forward Deployed Engineer owning the full customer deployment arc, from technical discovery and pilots through production rollout and expansion.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F83b1a36d98d499c3&placement=top)
- [View posting at Tamarind Bio](https://jobs.ashbyhq.com/tamarindbio/be678c9b-984e-4a0a-aedc-a87187e18748/application)

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

Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

### The work

Builds what the customer runs

Balance **Mostly building**

Project stages

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

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Individual contributor

### Do you meet what the posting states?

The posting reads as a senior 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

- **Work arrangement**: On-site

- **Employment type**: Full-time

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## The job description from Tamarind Bio

Posted by Tamarind Bio on May 10, 2026

### About Tamarind Bio

We enable any scientist to access AI-powered drug discovery. Thousands of scientists from large pharma companies, top biotechs, and academic institutions use Tamarind to design protein drugs, improve industrial enzymes, and create cutting edge molecules that weren’t feasible until now.

New AI models are quickly eclipsing physics-based tools in computational drug discovery. Scientists often struggle to fine-tune, deploy, and scale these models, leaving breakthroughs on the table. Tamarind provides a simple interface to the vast array of tools being released daily.

### Forward Deployed Engineer

### About the Role

We’re hiring a **Forward Deployed Engineer** — one of the highest-leverage roles on the team. You’ll sit at the intersection of engineering, product, and customers — working directly with scientists, ML teams, and pharma stakeholders to deploy Tamarind into real-world workflows. This role owns the full arc: from first technical conversation → pilot → production deployment. Every deployment becomes a product signal, a reference customer, and a revenue driver. The customer relationship moves at the speed you move.

### What You’ll Do

- Work directly with customers (scientists, ML teams, pharma orgs) to understand workflows and translate needs into deployable solutions
- Stand up AI/ML workflows using Tamarind’s platform — often within days of initial engagement
- Configure and deploy models (e.g. protein structure, docking, generative models) against real datasets
- Own pilots end-to-end — from scoping to execution to expansion
- Debug, adapt, and optimize workflows across compute, models, and data pipelines
- Partner with product and engineering to turn customer feedback into roadmap inputs
- Support technical discussions, demos, and deployments across the sales cycle

### Week in the Life

- Join customer calls to scope scientific workflows
- Deploy and test models on real customer datasets
- Work across infrastructure, APIs, and ML systems to ensure performance
- Iterate quickly based on feedback from scientists
- Translate field learnings into product improvements

### Ideal Qualifications

- Strong engineering fundamentals (Python preferred)
- Experience working with AI/ML systems or data pipelines
- Ability to operate in ambiguous, fast-moving environments
- Strong communication skills — able to interface with both technical and non-technical stakeholders
- Willingness to work onsite in San Francisco

### Technology

Tamarind operates at the intersection of DevOps, MLOps, and Computational Biology. You’ll work across:

- ML models (protein design, structure prediction, docking)
- GPU-based compute infrastructure
- APIs, workflows, and orchestration layers
- Scientific datasets and research pipelines

[View posting at Tamarind Bio](https://jobs.ashbyhq.com/tamarindbio/be678c9b-984e-4a0a-aedc-a87187e18748/application)

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- [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior)
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