Bigeye
Sr. Sales Engineer, East/Central
New York, USA · Senior
Sponsorship not specified$175k-$185kDetected 23 days ago
PythonSnowflakeDatabricksAWSGCPAzureCloud PlatformsMachine LearningData EngineeringAgentic AISalesforceSalesCustomer SuccessCiscoProblem Solving
About the role
- Enterprise AI adoption is moving quickly, and most organizations have not yet worked out how to verify that their AI systems can actually be trusted.
- The Team As a Senior Sales Engineer, you will be part of the Sales team at Bigeye - led by Bigeye's VP of Sales and working alongside Bigeye's Co-Founder/Field CTO.
- As a small and nimble team where everyone is eager to help solve customer problems, we prioritize team accomplishments over individual contributions.
Responsibilities
- 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.
- What You Bring 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
Requirements
- Even more important than your resume is a clear demonstration of impact, dedication, and the ability to thrive in a fast paced and collaborative environment.
- so if you are hard working & good at what you do then please come as you are.
Nice to have
- Desire to solve a problem once and then automate it Preferred Experiences 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,
Compensation
- $175k-$185k
Benefits
- Experience selling into or supporting data governance, data quality, or AI/ML platform deals in financial services, insurance, healthcare, or enterprise technology verticals.
- Assess the economic benefits of Bigeye and gain consensus among stakeholders across the business.
Company info
- As a Senior Sales Engineer, you will be part of the Sales team at Bigeye - led by Bigeye's VP of Sales and working alongside Bigeye's Co-Founder/Field CTO.
- We are an experienced team that grasps how critical data is to the business, how the quality of data impacts informed-choice making, and the pressure data teams are under to deliver that high-quality data 24/7.
- You will never feel alone or stuck, and will have the whole strength of decades of experience with data and engineering behind you.
- In addition to this, you will work with Product and Engineering teams to serve both data and AI teams with Bigeye's AI Trust Platform.
- In this role, you will work directly with data engineers, AI/ML engineers, data governance leads, and architects at our prospects, customers, and partner organizations.
- You will regularly be in rooms where data quality and AI governance are both on the agenda.
- The Company Bigeye is on a mission to help enterprises trust their data and their AI.
- As organizations deploy AI agents and automated decision systems across their operations, the integrity of the data and models powering those systems has never mattered more.
- When data pipelines fail or AI inputs go unmonitored, the outputs become unreliable and ungoverned.
- That problem will only get harder to ignore as agents become the primary way enterprises get work done.
- Some of the world's largest enterprises, including USAA, Zoom, Hertz, Cisco, and Freedom Mortgage, have moved to Bigeye's AI Trust Platform to keep their mission-critical data and AI systems reliable and governed.
- Our platform combines data observability, data catalog and lineage, data classification, and the Agent Trust Hub, which gives teams an agent registry, data access mapping, and trust signals across data quality, classification, lineage, governance, ownership, and cost for every agent running in production.
- Help prospects and customers advance AI adoption and data-driven culture by driving concrete business outcomes.
This listing is sourced directly from Bigeye's careers page and normalized into a canonical job model.