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Raydar

Applied AI Scientist

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In-Office
San Francisco, CA, USA
170K-300K Annually
Senior level
In-Office
San Francisco, CA, USA
170K-300K Annually
Senior level

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Serve as the technical face for enterprise clients throughout sales, pilots, trials, and deployments. Engage stakeholders, translate operational challenges, deliver product walkthroughs, build Python and SQL prototypes, analyze client datasets, quantify business value, and support successful rollouts. The role requires client-facing technical sales experience, machine learning knowledge, strong presentation skills, and the ability to communicate with both engineers and business leaders.
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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. Serve as the technical face for large business accounts across the sales cycle and into live use. The work blends hands-on analysis and prototyping in code with clear communication to show tangible value and keep deployments on track.

What you'll do

- Talk with client stakeholders to learn their operational pain points and translate them for both specialist and general audiences.

- Deliver tailored product walkthroughs and build bespoke prototypes that back up the sales process.

- Explore client datasets with Python and SQL to surface and quantify business impact.

- Act as the go-to technical contact during trials, pilots and rollouts.

- Help ensure active client installations run smoothly and deliver lasting benefit.


Requirements

What we're looking for

- Client-facing background handling large-scale rollouts, pilots, product walkthroughs or data-heavy operational problems, ideally in retail or consumer products.

- Time spent at a machine learning platform vendor, an early-stage startup or a leading management consultancy.

- An undergraduate degree in a quantitative or scientific discipline.

- Practical ability to code proofs of concept and working demos in Python and SQL.

- A track record of selling technical products that demanded a solid grounding in machine learning concepts.

- Skill at presenting to mixed audiences so the message lands with engineers and business leaders alike.

- Around 3 to 8 years of relevant experience, for example in data science, solutions engineering or similar customer-embedded technical roles.

Bonus points

- An eager, build-it-yourself attitude and comfort picking up unfamiliar tools and subjects quickly.


Benefits

Compensation and benefits

- Base salary: USD 170,000 to 300,000 per year

Location and work model

- San Francisco, CA, United States

- On-site, 5 days per week in office

- Full-time

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