Solutions Engineer

Roe

San Francisco (CA)

Hybrid

USD 80,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Epic offsite events

Daily lunch stipend

Medical, dental, vision insurance

Job summary

A tech startup based in San Francisco is seeking a Solutions Engineer to bridge its AI-driven data platform with customer challenges in risk and compliance. The ideal candidate will work with esteemed Fortune 500 clients, collaborating closely with sales and product teams. The role requires a Bachelor’s degree in a related field and offers a hybrid work environment with a salary range of $80,000 to $100,000 per year, alongside excellent benefits including lunch stipends and, health insurance.

Qualifications

Bachelor’s degree or equivalent practical experience required.
Experience in solutions engineering or client-facing technical role is beneficial.
Basic understanding of AI/ML concepts, particularly natural language processing.

Responsibilities

Bridge AI-powered data platform with real customer problems.
Design tailored solutions for Fortune 500 customers.
Collaborate with sales, product, and engineering teams.

Skills

Customer-facing communication skills

Technical problem solving

Knowledge of SQL and cloud infrastructure

Understanding of AI/ML concepts

Education

Bachelor’s degree in Computer Science or related field

Tools

SQL

AWS

GCP

Azure

Job description

Get AI-powered advice on this job and more exclusive features.

Roe is a startup building Cursor for Financial Crimes. Today, Roe is trusted by multiple public companies representing$400B+in combined market cap.

Y Combinator,Google AI Ventures,Ardent Ventures, theCEO of Snowflake, and senior leaders from LinkedIn and top fintechs back us.

What you'll do as a Solutions Engineer:

Bridge Roe’s AI-powered data platform with real customer problems in risk and compliance (no prior finance background required).
Design and deliver tailored solutions for sophisticated customers, including Fortune 500 companies.
Operate as one team: collaborate closely with sales, product, and engineering, and directly influence product direction with customer feedback.
Create solution documentation, demo assets, and technical materials that scale customer success.

What you won’t do

Bureaucracy.No 3-month approvals to launch a feature.
Politics.No fighting other teams for headcount or scope.
Build for the void.We ship what customers actually need.

You may be a great fit if

You enjoy being customer-facing and technical — explaining complex systems in simple, convincing ways.
You can translate ambiguous business problems into concrete technical solutions.
You’re comfortable working across SQL, APIs, cloud infrastructure (AWS/GCP/Azure), and modern data stacks.
You’re curious about AI, LLMs, and agent-based systems — and eager to apply them to real-world use cases.
You write clearly, speak confidently, and can adapt your communication to both technical and non-technical audiences.

This role isn’t for you if

You’re looking torest & vest.
You can’t commit tointense weeks(we sometimes run6-day sprints).
You’re not among thetop 5%builders in your network.
You can’t be in the office3 days/week(hybrid in SF Bay Area).

Must Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Experience in a solutions engineering, pre-sales engineering, or similar client-facing technical role is beneficial but not strictly required. We welcome candidates with diverse backgrounds who can demonstrate the necessary skills and aptitude.
Basic understanding of AI/ML concepts, particularly in natural language processing and unstructured data analysis.
Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Epic offsites(e.g., Napa Valley Wine Train, speed sailing under the Golden Gate Bridge).
Daily lunchstipend—order what you actually want.
Medical, dental, vision, and standard insurance.
Hybridwork: in-office collaboration + focused WFH days.
Base Pay - $80,000 – $100,000 per year

Additional Job Application Terms

This job is part of LinkedIn’s Full-Service Hiring beta program. Eligibility is limited to candidates located in and performing services in the United States, excluding those based in Alaska, Hawaii, Nevada, South Carolina, or West Virginia.

We’re committed to making our hiring process as smooth and timely as possible, and we understand that waiting to hear back can add to the anticipation. If you’re a potential fit, our team will reach out within two weeks to progress you to the next stage. If you don’t hear from us in that time, we encourage you to explore other opportunities with our team in the future, and we wish you the very best in your job search.

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