Applied AI Engineer (Pre-Sales)

About Snorkel

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change since Snorkel began as a research project in the Stanford AI Lab, but one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production‑ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before.

Role Overview

As an Applied AI Engineer (Pre‑Sales), you will partner closely with Sales and our AI Solution Practice Leaders during pre‑sales engagements. You will lead technical discovery and solution scoping to identify high‑value use cases, develop tailored demos and pilots, and translate proposed solutions into clearly scoped, technically sound proposals and Statements of Work (SOWs). You will also collaborate with delivery teams during initial implementation.

Main Responsibilities

• Partner with Sales and AI Solution Practice Leaders to shape technical strategy across active prospects, win technical evaluations, and ensure a seamless transition to post‑sales delivery through structured handoff documentation and clear expectation alignment.
• Lead structured technical discovery engagements with prospects to understand business objectives, success criteria, data landscape, architectural constraints, security considerations, and organizational readiness.
• Translate discovery findings into well‑defined GenAI solution architectures that demonstrate technical feasibility and business impact using internal frameworks and complementary third‑party technologies.
• Design, build, and deliver bespoke demos, including evaluation pipelines, dataset strategy, retrieval‑augmented generation systems, fine‑tuning workflows, prompt engineering strategies, and agentic architectures tailored to specific customer use cases and senior business stakeholders.
• Author and contribute to custom proposals, including Statements of Work and RFP/RFI responses, ensuring scope clarity, architectural soundness, realistic effort estimates, and alignment with delivery capabilities.
• Systematically capture reusable patterns from bespoke demos and evolve them into reference architectures, demo assets, benchmarks, and internal solution playbooks.
• Travel up to 25% annually.

Preferred Qualifications

• B.S. in Computer Science, Engineering, Math/Statistics, or equivalent experience.
• 5+ years in customer‑facing technical roles (pre‑sales, solutions engineering, or applied AI), including discovery, scoping, demos, proof‑of‑value engagements, and RFP responses.
• Hands‑on Python experience and familiarity with the modern Gen AI stack – LLM ecosystems, RAG, vector databases, data processing, synthetic dataset curation, evaluation workflows, LLM orchestration, and agent authoring tools.
• Expertise across the predictive ML stack, including classical ML (e.g., scikit‑learn) and data processing frameworks (e.g., pandas, Spark).
• Ability to operate in fast‑paced environments and rapidly build prototypes (ML solutions, RAG systems, prompt‑based workflows, fine‑tuned models, agentic systems) that demonstrate business value.
• Ability to translate ambiguous business problems into testable technical approaches and measurable success criteria.
• Strong presentation and storytelling skills with the ability to engage both technical and executive audiences with credibility.
• Experience estimating scope and producing technical content for proposals and Statements of Work.

Compensation

• Salary range: $190,000 – $300,000 USD OTE.
• All offers include equity in the form of employee stock options.
• Compensation ranges are determined by role, level, and location; individual pay is influenced by work location, job‑related skills, experience, and relevant education or training.

Locations

• New York
• San Francisco Bay Area
• Austin
• Dallas
• Seattle
• Atlanta
• Nashville
• Boston
• Remote – US

Equal Employment Opportunity

Snorkel AI is an Equal Employment Opportunity employer committed to building a team that represents a variety of backgrounds, perspectives, and skills. We provide equal employment opportunities to all employees and applicants and prohibit discrimination and harassment of any type based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Employment decisions are based on qualifications, performance, merit, and business need.

We will provide reasonable accommodation for individuals with disabilities throughout the job application, interview process, and employment. Please contact us to request accommodation.