Note: The job is a remote job and is open to candidates in USA. Bigeye provides an AI Trust Platform that helps enterprises maintain reliable and governed data and AI systems. The Senior Sales Engineer will guide prospects and customers from demonstrations through proof of concepts and production, design industry-specific demos and POCs, assess business value, and support AI governance and data trust initiatives.
Responsibilities
- Help prospects and customers advance AI adoption and data-driven culture by driving concrete business outcomes
- Trailblaze a rapidly emerging market by evangelizing the value, ease of use, and speed of Bigeye
- Guide prospects from demos to proof of concepts (POCs) to production, helping them build comprehensive data and AI governance practices and delivering real value throughout
- Design and implement industry specific demonstrations and POCs that create repeatable and concrete outcomes for prospective customers
- Assess the economic benefits of Bigeye and gain consensus among stakeholders across the business
- Attend conferences, seminars and events related to the industry to keep our market awareness sharp
- Collect and share product feedback across the Bigeye Product and Engineering team
- Reply to RFIs, RFPs and RFQs
- Teach and showcase Bigeye for prospects, partners, and customers using customer success stories, and other assets
Skills
- 5+ years of B2B SaaS Sales Engineering experience (level determined based on experience)
- Working knowledge of Python, with comfort reading and debugging scripts and AI pipeline code
- Ability to use AI tools to help accelerate building one-off demos and solutions, such as Claude Code, Cortex Code, Codex, etc
- Working understanding of how AI agents are built and deployed in enterprise environments: how agents connect to business data sources, what frameworks like LangChain, LlamaIndex, or platform-native agents like Snowflake Intelligence and Databricks Genie look like in practice, and where data quality and classification issues create risk in those workflows
- Ability to speak credibly to AI governance and data trust concepts with both technical practitioners and business stakeholders, including how data lineage, classification, and observability apply in AI and agent contexts
- Desire to solve a problem once and then automate it
- Experience with cloud data warehouses or lakes, such as Snowflake, Databricks, Microsoft Synapse, and Google BigQuery
- Comprehension of on-prem and major cloud infrastructure (AWS, GCP, Azure)
- Familiarity with the agentic AI landscape: which enterprise tools teams are actually deploying (Snowflake Intelligence, Databricks Genie, Microsoft Copilot, Salesforce Agentforce, Claude Code), and how those tools access and act on business data
- Familiarity with AI governance frameworks or emerging regulations (EU AI Act, NIST AI RMF, APRA CPS 230, or equivalent) and the ability to connect those requirements to Bigeye's platform capabilities during a discovery or demo
- Experience selling into or supporting data governance, data quality, or AI/ML platform deals in financial services, insurance, healthcare, or enterprise technology verticals
Benefits
- Equity opportunity
- Medical, Dental and Vision to keep you healthy
- Health and Wellness package
- 401k plan to help you save for the future
- Unlimited PTO to have fun
- Receive an elite technology package to make work easier
Company Overview
Company H1B Sponsorship