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Forward Deployed Engineer

Pay not postedSan Francisco, CAOn-siteFull-time

Forward Deployed Engineer responsible for helping scientific and engineering customers adopt Altara by understanding their workflows, configuring and troubleshooting the product, and building lightweight solutions.

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At a glance

Posted base pay

Not posted

The work

Plans what the customer deploys first

Balance Mixed

Project stages

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

Travel Required, amount not stated

Coding
Configuration only
Builds for
External customers
Role
Individual contributor

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Conditions

Location
San Francisco, CA
Work arrangement
On-site
Employment type
Full-time
Travel
Travel required, amount not stated

More like this

The job description from Altara

Posted by Altara on

We’re building the scientific intelligence platform for the physical world, to accelerate breakthroughs in semiconductors, batteries, advanced materials, aerospace, and beyond. These industries represent trillions in spend, but are still trapped in outdated software. We’re changing that by building the intelligence layer to help scientists and engineers move faster and solve core problems -- R&D through manufacturing.

We have a once-in-a-generation opportunity to create a category-defining company at the intersection of AI and the physical sciences. And we’re building a world-class team to do it.

We recently raised a seed round led by Greylock, with participation from Neo, BoxGroup, Liquid 2, and top angels including Jeff Dean + leadership at OpenAI and AMD. Our team (ex-Applied Intuition, Glean, SpaceX, Warp, Jane Street, Verkada) works in-person in San Francisco. Our office is located walking distance from 4th and King Caltrain station.

The Role

Altara’s product can create significant value, but adoption requires someone to sit with scientists, understand how they work, earn their trust, identify the right workflow, and guide them toward a measurable outcome. We’re looking for someone that combines the technical skills to troubleshoot issues and build lightweight solutions for customers with the social stamina and patience to teach them how to use a brand new technology.

What you’ll do

  • Learn how scientists currently work, including their tools, data, language, and constraints.
  • Identify high-value workflows where Altara can make an immediate difference.
  • Drive pilots toward measurable outcomes, such as improving yield or shortening an R&D process, creating clear customer wins and accelerating deal cycles.
  • Teach users how to incorporate Altara into their daily work and create new champions and power users.
  • Translate recurring customer insights into core product requirements, building scalable product and platform capabilities.

We would love to meet you if you have

  • Enough technical depth to understand data, troubleshoot integrations, configure the product, and prototype simple solutions
  • Experience working in semiconductors, physics, chemistry, materials science, or a related field
  • High social stamina and genuine energy from spending days with customers
  • The patience to teach people who are unfamiliar with AI
  • Strong discovery skills and the confidence to keep asking questions when others stop
  • Product judgment to separate a one-off customer request from something Altara should build for everyone
  • Comfort traveling, operating independently, and working through ambiguity

Bonus points if you have

  • Worked at an early stage startup, founded a company, or plan to start one someday.
  • Experience working with a large variety of customers across industries and teaching them how to use new technology
  • Experience or deep curiosity in science - you can talk shop with our customers about the problems they face

Learn More about Altara

  • Website
  • Video
  • TechCrunch
  • Follow us on LinkedIn and X

View posting at Altara

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About Altara

Altara builds AI agents that unify fragmented scientific and engineering data to accelerate R&D and manufacturing workflows in semiconductors, batteries, and advanced materials.

Seed · 10–50 people

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