[Remote] Staff Applied AI Engineer - Pre-Sales

Note: The job is a remote job and is open to candidates in USA. Snorkel AI is on a mission to democratize AI by building the definitive AI data development platform. As an Applied AI Engineer (Pre-Sales), you will partner with Sales and AI Solution Practice Leaders to lead technical discovery, develop tailored demos, and translate proposed solutions into technically sound proposals, ensuring successful customer engagements.ResponsibilitiesPartner closely with Sales and our 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 alignmentLead structured technical discovery engagements with prospects to understand business objectives, success criteria, data landscape, architectural constraints, security considerations, and organizational readinessTranslate discovery findings into well-defined GenAI solution architectures that demonstrate technical feasibility and business impact using internal frameworks, and complementary third-party technologiesDesign, 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 stakeholdersAuthor 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 capabilitiesSystematically capture reusable patterns from bespoke demos and evolve them into reference architectures, demo assets, benchmarks, and internal solution playbooksAnnual travel up to 25%SkillsB.S. in Computer Science, Engineering, Math/Statistics, or equivalent experience8+ years in customer-facing technical roles (pre-sales, solutions engineering, or applied AI), including discovery, scoping, demos, proof-of-value engagements, and RFP responsesHands-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 toolsExpertise 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 valueAble to translate ambiguous business problems into testable technical approaches and measurable success criteriaStrong presentation and storytelling skills with the ability to engage both technical and executive audiences with credibilityExperience estimating scope and producing technical content for proposals and Statements of WorkBenefitsAll offers also include equity in the form of employee stock options.Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth.As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success.Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.Company OverviewSnorkel AI is an AI platform that accelerates data labeling by using machine learning for faster model training. It was founded in 2019, and is headquartered in Redwood City, California, USA, with a workforce of 51-200 employees. Its website is https://www.snorkel.ai/.