The Role
The Senior Sales Engineer guides prospects through demos, proof-of-concepts, and production deployments of Bigeye’s AI Trust Platform. Responsibilities include designing industry-specific demonstrations, assessing economic benefits, supporting RFIs and RFPs, evangelizing data and AI governance, gathering product feedback, and collaborating with sales, product, engineering, partners, and enterprise data teams. The role requires technical fluency in Python, AI agents, data observability, data governance, cloud infrastructure, and enterprise data platforms.
Summary Generated by Built In
The Company
What you’ll be doing:
What You Bring
Preferred Experiences
Compensation
Benefits
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.
The scale of the opportunity is significant: we already check over 3 million data quality attributes and 3 trillion lineage assets every day for our customers, and are now giving enterprise teams visibility into which AI agents are active, what business data those agents are accessing, and whether that data can actually be trusted. 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. 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.
As a small and nimble team where everyone is eager to help solve customer problems, we prioritize team accomplishments over individual contributions. 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.
- 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.
- 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.
- Salary range $175-185,000, plus incentive and equity, depending on location
- Curious how we came up with this range? Ask us about our process!
- Highly competitive salary and 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
Bigeye is an Equal Opportunity Employer and we will not tolerate discrimination or harassment of any sort. We do celebrate diversity and believe experience comes in different forms; many skills are transferable; and passion goes a long way. Diversity in our team makes for better problem solving, more creative thinking, and ultimately a better product and company culture.
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. Bigeye strives to have an inclusive work environment; so if you are hard working & good at what you do then please come as you are. We want you to contribute, grow, & learn at Bigeye and we encourage you to apply if your experience is close to what we’re looking for.
Skills Required
- 5+ years of B2B SaaS Sales Engineering experience
- Working knowledge of Python, including reading and debugging scripts and AI pipeline code
- Ability to use AI tools such as Claude Code, Cortex Code, or Codex to accelerate demos and solutions
- Understanding of how AI agents are built and deployed in enterprise environments
- Understanding of agent frameworks and platforms including LangChain, LlamaIndex, Snowflake Intelligence, and Databricks Genie
- Ability to discuss AI governance and data trust concepts with technical and business stakeholders
- Knowledge of data lineage, classification, and observability in AI and agent contexts
- Experience with cloud data warehouses or lakes such as Snowflake, Databricks, Microsoft Synapse, or Google BigQuery
- Understanding of on-premises and major cloud infrastructure including AWS, GCP, or Azure
- Familiarity with enterprise agentic AI tools such as Microsoft Copilot, Salesforce Agentforce, Claude Code, Snowflake Intelligence, or Databricks Genie
- Familiarity with AI governance frameworks or regulations such as the EU AI Act, NIST AI RMF, or APRA CPS 230
- Experience selling into or supporting data governance, data quality, or AI/ML platform deals
- Experience in financial services, insurance, healthcare, or enterprise technology verticals
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The Company
What We Do
Bigeye is an industry-leading data observability platform that gives data engineering and science teams the tools they need to ensure their data is always fresh, accurate and reliable. Companies like Instacart, Clubhouse, and Udacity use Bigeye’s automated data quality monitoring, ML-powered anomaly detection, and granular root cause analysis to proactively detect and resolve issues before they impact the business.
