Sr. Sales Engineer

bigeye; United States; On-site; USD 175,000 - 185,000; Full time

Benefits offered by this job

Equity

Medical/Dental/Vision

Health & Wellness

401k

Unlimited PTO

Tech package

Job summary

Bigeye is hiring a Senior Sales Engineer to join the Sales org. You will work with data and AI teams to demonstrate Bigeye’s AI Trust Platform, craft compelling demos, and guide prospects from initial demos to production deployments.

You will balance technical rigor with business impact, engaging with data engineers, AI/ML teams, and governance leads. The role requires strong Python skills, experience with AI tooling, and the ability to articulate data lineage, observability, and trust in

Qualifications

• 5+ years of B2B SaaS Sales Engineering experience.
• Working knowledge of Python and AI pipelines.
• Ability to use AI tools to accelerate demos and solutions.
• Understanding of how AI agents connect to business data sources and relevant frameworks.
• Ability to discuss AI governance, data trust, data lineage, and observability with technical and business audiences.

Responsibilities

• Help prospects advance AI adoption and data-driven culture by delivering concrete business outcomes.
• Lead demos, proofs of concepts (POCs), and production transitions.
• Design industry-specific demos and repeatable POCs to create tangible outcomes.
• Assess business value and gain stakeholder consensus across the organization.
• Respond to RFIs/RFPs and communicate customer success stories effectively.

Skills

B2B SaaS Sales Engineering

Python

AI Tools usage

AI governance knowledge

Automation mindset

Tools

LangChain

LlamaIndex

Snowflake Intelligence

Databricks Genie

Claude Code

Cortex Code

Codex

Job description

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.

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.

What you’ll be doing:

• 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.

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 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

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, 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.

Compensation

• 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!

Benefits

• 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.