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Raydar

Forward Deployed Software Engineer

Posted Yesterday
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In-Office
San Francisco, CA, USA
180K-300K Annually
Mid level
In-Office
San Francisco, CA, USA
180K-300K Annually
Mid level
Own customer implementations from requirements through deployment, build intelligent automations, and translate business-customer needs into production software. The role combines customer-facing technical discovery with full-stack development, rapid feature delivery, and post-sales implementation. Engineers also contribute reusable customer solutions to the core platform and collaborate with product and engineering teams to develop scalable features.
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About the company

Our client is a fast-growing software company.

The role

Raydar is recruiting for this role on behalf of our client. Split your time between writing production code and talking with business customers about what they need. You will translate those conversations into working solutions, release them quickly, and feed reusable pieces back into the core product.

What you'll do

- Own customer implementations from initial requirements through to a live deployment.

- Build and release intelligent automations on the company's platform for key accounts.

- Meet with large business customers after the sale to learn their pain points and define the technical approach.

- Turn around working solutions fast, often within days of the first conversation.

- Fold reusable customer-specific work back into the core platform.

- Partner with product and engineering colleagues to shape customer feedback into scalable features.


Requirements

What we're looking for

- 3 to 6 years of professional engineering experience after university.

- Customer-facing engineering experience with regular contact with large business clients.

- Full-stack ability across front end and back end.

- A record of scoping problems, building solutions and shipping quickly in a post-sales setting.

- Experience delivering several features or automations for large customers.

- Experience at a high-growth startup.

- A strong ownership mindset and a habit of creating structure instead of waiting for it.

- Comfort moving between customer conversations and focused, heads-down coding.

Bonus points

- Production experience with automated or agent-style workflows that use machine learning.

- Proficiency in Python and/or TypeScript.

- Experience integrating pipelines built on large language models.

- Background in financial services.


Benefits

Compensation and benefits

- Base salary: USD 180,000 to 300,000 per year

- Equity

- Health, dental and vision coverage

Location and work model

- San Francisco, CA, United States

- On-site, 5 days per week in the office

- Full-time

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