About Snorkel

We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. 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. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

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, and develop tailored demos and pilots that demonstrate how modern GenAI and machine learning techniques can drive measurable business outcomes. You will also translate proposed solutions into clearly scoped, technically sound proposals and Statement of Works (SOWs) that set realistic expectations and position engagements for success, while collaborating with delivery teams during initial implementation.

This role sits at the intersection of deep technical problem-solving and customer partnership. You will help customers unpack complex business challenges, quickly prototype solutions, and clearly communicate technical approaches to both engineering teams and senior business stakeholders. From early architecture discussions to demo development, you will play a key role in helping organizations adopt AI effectively while surfacing field insights that inform our product and research roadmap.

Main Responsibilities

• Partner 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 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.
• Annual travel up to 25%.

Preferred Qualifications

• B.S. in Computer Science, Engineering, Math/Statistics, or equivalent experience.
• 8+ 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.
• Able 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 range is $190K - $300K OTE. All offers also include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Locations

New York; San Francisco Bay Area; Austin; Dallas; Seattle; Atlanta; Nashville; Boston; Remote - US

#LI-CG1

Account Executive – Federal

Snorkel AI is seeking an exceptional Account Executive to help federal agencies accelerate the deployment of mission-ready AI systems.

In this role, you will partner with government organizations to operationalize AI capabilities using Snorkel’s data-centric development approach. These systems support mission-critical workflows such as intelligence analysis, operational planning, threat detection, and decision support.

Unlike traditional enterprise software sales, Snorkel engagements focus on delivering AI capabilities and measurable outcomes. You will work closely with AI engineers, solution architects, and mission experts to translate operational challenges into scalable AI solutions for federal customers.

What You’ll Do

Drive strategic engagements across federal agencies by identifying high-value AI opportunities and translating mission challenges into deployable AI capabilities. You will manage complex, multi-stakeholder sales cycles involving technical teams, program leadership, and procurement organizations.

Successful candidates build credibility with both technical and mission stakeholders, develop strong territory strategies, and lead opportunities from initial engagement through contract award. This role requires disciplined pipeline management, strong business case development, and the ability to navigate complex federal buying environments.

Required Experience

Federal / National Security Market

• 5+ years experience selling into federal agencies, including defense or national security organizations
• Familiarity with federal procurement and government acquisition processes
• Understanding of mission environments such as intelligence analysis, operational planning, cyber operations, or investigative workflows
  
  

AI, Data, or Technical Solutions

• Comfort engaging technical stakeholders around AI/ML, data engineering, analytics platforms, or AI evaluation frameworks
• Ability to communicate the value of modern AI development approaches and data-driven model evaluation
  
  

Enterprise Sales Performance

• Consistent top-tier sales performance
  Experience selling complex enterprise or technical solutions
• Demonstrated ability to build and close $1M+ opportunities with strong pipeline generation discipline

Bonus Qualifications

• Active U.S. security clearance (Secret or TS/SCI)
• Experience supporting AI, data analytics, or advanced technology programs
• Prior military, intelligence, or national security mission experience
• Experience selling outcome-based solutions or technical services engagements
  
  

Why Snorkel AI

The future of AI is not just larger models — it is trusted, mission-ready systems built on high-quality data and rigorous evaluation.

Snorkel AI is pioneering data-centric AI development, enabling organizations to rapidly build, test, and deploy AI systems for real operational environments. Our technology already supports some of the most advanced AI initiatives across government and industry.

Location

Washington, DC / Northern Virginia preferred
Remote with regular engagement across federal agencies