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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
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.