Before you apply: Here is an interview Q&A for you: Click here

NOTE: Here is why some companies may not hire you.

Hey!!  Update Your CV Like a Pro. HERE are Tips from an Experienced Recruiter

Solutions Engineer at Protege, Remote (Global)

As a Solutions Engineer, you will serve as the technical bridge between our customers, third-party vendors, and internal engineering teams. You will lead integration projects with external partners, ensuring smooth onboarding, implementation, and success of our platform within healthcare organizations and AI workflows. You’ll be at the heart of shaping how we implement solutions with our customers to power real-world AI systems.

Key Responsibilities:

• Work directly with partners and customers to own the end to end pipeline that runs from pre-sale to deal delivery
• Build strong relationships with customers, acting as a trusted technical advisor
• Help serve as the bridge between customers and internal teams (engineering, product, and sales)
• Create technical documentation, playbooks, and best practice guides for customers and internal teams
• Advocate for customer needs within the organization, driving continuous product and process improvements
• Be a creative problem solver and know when to deliver a quick, tailored solution and when to collaborate with the team to design and implement scalable, maintainable, and robust solutions

About You:

• You are curious, tenacious, and proactive
• You are not bothered by ambiguity but embrace finding patterns in complex environments
• Experience in pre-sales, solutions engineering, or consulting, working closely with customers to deliver tailored solutions
• Strong communication skills, with the ability to explain complex technical concepts to diverse audiences
• Strong skills in Python and SQL
• Familiar with AWS
• Excellent problem-solving skills and adaptability in a dynamic and evolving tech landscape
• Excited to work in a company that deals with moving and transforming large volumes of data

Bonus if you have these attributes:

• Experience with Snowflake
• Experience with other cloud providers like GCP and Azure
• Experience with Spark
• Prior startup experience