The AI Customer Insights Engineer builds scalable intelligence workflows that help Seeq’s Customer Success organization act earlier, smarter, and more strategically.
This role sits within Customer Success and operates at the intersection of product usage analytics, customer health modeling, workflow automation, and applied AI. The mission is to transform raw customer data—usage, engagement, and contract signals—into actionable insights delivered to the right people at the right time.
This is an early-career, high-potential role ideal for an engineering graduate or former process engineer pivoting into analytics and software.
Key Duties & Responsibilities:
Build Customer Intelligence Workflows
- Design and deploy account-level Slack summaries for CSMs and leadership.
- Translate product usage and contract data into operational signals.
- Build or extend data pipelines in partnership with Analytics Engineering.
- Develop Python-based automation to operationalize insights at scale.
Improve Health & Renewal Predictability
- Contribute to Seeq’s customer health scoring framework.
- Develop usage-to-renewal correlation models.
- Identify leading indicators of risk, expansion, and adoption.
- Iterate based on measurable predictive lift and CS feedback.
Apply AI and Modern Tooling
- Leverage AI-first coding workflows to accelerate development.
- Build lightweight LLM-driven synthesis workflows where valuable.
- Help elevate development practices across Customer Success.
Partner Cross-Functionally
- Work directly with CSMs to understand real decision workflows.
- Collaborate with Analytics Engineers on modeling and data structure.
- Feed product insights back into engineering through internal dogfooding.
Requirements
Requirements
- Bachelor’s degree in Chemical, Mechanical, Electrical, Industrial, Systems Engineering, Computer Science, Applied Math, Data Analytics, or related field.
- 0–3 years of experience (internships included) in analytics, engineering, or technical roles.
- Working knowledge of SQL.
- Strong Python skills.
- Exposure to data modeling concepts.
- Familiarity with LLMs or AI-assisted development tools.
- Comfort operating in ambiguity.
- Strong written communication skills.
Preferred Qualifications
- Background in process manufacturing or industrial engineering.
- Exposure to BI tools (e.g., PowerBI).
- Familiarity with product analytics platforms (e.g., Mixpanel).
- Experience building Slack automations or APIs.
- Exposure to modern data pipelines (e.g., Azure Data Factory).
- Demonstrated curiosity about customer behavior and causal mechanisms.
Benefits
Seeq is a remote-first (only) company founded by serial entrepreneurs. Our executive team and board of directors have extensive experience with successful startup ventures in high-growth environments.
We are founded on the idea that companies need better solutions for quickly and easily getting business insight from their industrial process data. Our mission is to provide software and services that convert that data into meaningful information that the business can use to improve profitability.
We have a wonderful, kind-hearted, talented team that loves to collaborate, lead by example, and exceed our customers’ expectations. We are certified as a great place to work, an emerging startup, the Technology Fast 500, and Inc. Magazine's Best Places to Work.
The Perks of Working at Seeq
- Competitive salary plus bonus incentives
- $115,000 USD base salary plus variable
- Benefits:
- 12-week paid Seeq family leave
- Unlimited PTO
- Internet and mobile phone reimbursements
- Medical benefits
- Group term life insurance
- Short-term and long-term disability insurance pre-tax benefits
- Voluntary vision and dental (ortho)
- Vacation bonus program
- Employee Assistance Program
- Generous home office allowance
- The best co-workers (we've analyzed the data, so we know it's true.)
- Pet-friendly workspace (your dog will be so happy to have you home)
- You love your job!
Seeq provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics.
You must be authorized to work in the country in which you reside. Seeq does not sponsor US F1 or H-1B work visas
Skills Required
- Bachelor's degree in Chemical, Mechanical, Electrical, Industrial, Systems Engineering, Computer Science, Applied Math, Data Analytics, or a related field
- 0-3 years of experience in analytics, engineering, or technical roles, including internships
- Working knowledge of SQL
- Strong Python skills
- Exposure to data modeling concepts
- Familiarity with LLMs or AI-assisted development tools
- Comfort operating in ambiguity
- Strong written communication skills
- Background in process manufacturing or industrial engineering
- Exposure to BI tools such as Power BI
- Familiarity with product analytics platforms such as Mixpanel
- Experience building Slack automations or APIs
- Exposure to modern data pipelines such as Azure Data Factory
- Demonstrated curiosity about customer behavior and causal mechanisms
What We Do
Seeq Corporation develops software and services that accelerate industrial process analytics on industrial process data. Industrial process data is the collection of time-series data, events, and signals, as well as related contextual data, generated by production and manufacturing organizations. Due to the high volume, velocity, and variety of these data streams, industrial process data typically requires extensive manipulation to enable insight and analytics. Seeq's sophisticated yet easy-to-use analysis tools are applicable for industrial markets like oil refineries, pharmaceuticals, and energy production. Seattle-based Seeq also has satellite offices in the western United States and Canada. Launched in May, 2013, the experienced founding team includes executives, engineers, and data scientists formerly with OSIsoft, Honeywell, Microsoft, and Insitu. Seeq is led by Dr. Lisa Graham, CEO. Learn more about Seeq at www.seeq.com.
