Sales Engineer, Applied AI

About the role

This role places you at the forefront of the Generative AI revolution, empowering you to build transformative solutions for the world’s largest enterprises.

Responsibilities

• Strategic Solutioning: Partner with Account Executives to uncover high-value customer pains. You will translate these into business requirements then into concrete AI automation designs using our platform.
• Build to Win: Design and configure compelling Proofs of Concept (POCs). You will leverage our drag-and-drop workflow builders and our collaboration AI toolsets to show customers their own data being processed in real-time.
• Applied AI Advisory: Act as a trusted advisor on “The Art of the Possible.” You will educate customers on prompt engineering best practices, agentic workflows, and how to govern AI safely, without needing to discuss low-level model weights.
• Champion the User Experience: Because you are pushing the boundaries of our no-code tools, you will be the primary feedback loop to Product Management, helping us refine the user interface and agent capabilities.

Requirements

• Hybrid DNA: You have the technical chops of a software engineer and the communication skills of a consultant. You are as comfortable in a Jupyter Notebook as you are in a boardroom.
• Applied AI Fluency: 3+ years of experience building or deploying AI/ML solutions. You understand the functional application of LLMs. You know how to prompt a model to get the best result (Prompt Engineering) and understand the practicalities of Generative AI, LLMs (GPT, Gemini, Anthropic), and RAG (Retrieval-Augmented Generation).
• Technical Storytelling: Proven track record in a customer-facing role (Solutions Consultant, Sales Engineer, or Business Analyst). You excel at simplifying complex AI concepts for non-technical stakeholders.
• Data Literacy: You are comfortable working with unstructured data (documents, emails, chats) and understand the nuance of extracting structured value from it.
• Sales Engineering Excellence: Proven track record in a customer-facing technical role (Sales Engineering, Solutions Architecture, or Forward Deployed Engineering). You know how to map technical features to business value.
• Problem Solving: You love unstructured problems. You can look at a messy dataset (invoices, medical records, financial statements) and instantly visualize the AI pipeline needed to structure it.
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or equivalent practical experience.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or equivalent practical experience.

Skills

• Experience with Generative AI, LLMs (GPT, Gemini, Anthropic), and RAG (Retrieval-Augmented Generation).
• Ability to translate complex AI concepts into actionable solutions for non-technical stakeholders.
• Strong problem-solving skills and ability to work with unstructured data.
• Effective communication and collaboration skills, both written and verbal.

Benefits

• Flexible PTO
• Comprehensive Coverage (medical, dental, vision insurance)
• 401(k) with Matching
• Parental Leave & Fertility Benefits
• Therapy Sessions Covered
• Wellness Stipend
• Lunch on Us

Pay

For US-based roles: The base salary range for this role is $157,000 to $175,000 + commission, equity, and benefits. The actual pay may vary based on factors such as location, experience/skills, and level of impact the individual is expected to make at Instabase.

Schedule

Hybrid work schedule is offered.