Client Engineering Lead

About Invisible

Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most.

Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world's top AI companies, including Microsoft, AWS, and Cohere.

Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets.

Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology.

About The Role

As a Staff/Principal-level Technical Lead, you will be the definitive architectural mind and engineering engine behind our most critical customers' success. Operating in a strategic "two-in-a-box" partnership with a Project Lead, you will drive the technical execution of enterprise engagements. In the Tech Lead capacity, you will own and independently manage multiple concurrent implementations, ensuring our AI-enabled solutions are integrated seamlessly, securely, and scalably into our clients' complex ecosystems. This role blends deep technical expertise with elite forward-deployed engineering, making you the primary technical authority in helping enterprise customers transform their infrastructure and workflows with AI.
What You'll Do

• Drive the end-to-end technical execution of multiple concurrent enterprise engagements, in close partnership with the Project Lead, from technical discovery to production deployment.
• Architect and implement secure, highly scalable integrations between our AI platform and the client's existing data pipelines, APIs, and infrastructure.
• Lead authoritative technical discovery sessions, architecture workshops, and data readiness assessments with customer IT, data, and engineering leadership teams.
• Build and customize robust AI-enabled solutions, scripts, and workflows that directly address the complex business problems identified through the sales process.
• Serve as the primary technical liaison-and escalation point-between customer engineering teams and our internal product, engineering, and data science teams to rapidly unblock deployments
• Ensure all deployed solutions across your portfolio meet rigorous, enterprise-grade standards for performance, security, data privacy, and scalability.
• Debug complex integration issues, proactively manage technical risks across overlapping projects, and provide hands-on troubleshooting during the implementation phase.
• Contribute heavily to our internal codebase by documenting technical blueprints, developing reusable integration components, and providing critical product feedback based on real-world edge cases.

What We Need

Experience:

• 8+ years in software engineering, data engineering, or technical architecture (Staff/Principal Level): You have a proven track record of architecting, building, and deploying complex technical solutions at scale, ideally in SaaS, AI/ML, or cloud-native environments.
• Elite forward-deployed or client-facing engineering experience: You are highly comfortable writing production-grade code and designing distributed systems while actively engaging with, and leading, external enterprise clients. You expertly know how to navigate the intricacies and complexities of sprawling enterprise IT environments.
• Proven experience delivering concurrent technical integrations: You have a rock-solid foundation in successfully taking a portfolio of projects from conceptual architecture diagrams to live, scalable production systems on time.

Skills:

• Deep technical fluency in AI/ML and Data Infrastructure: You possess highly advanced programming skills (e.g., Python, TypeScript) and a deep, authoritative understanding of cloud architectures (AWS, GCP, or Azure), REST APIs, database management (SQL/NoSQL), and modern data pipelines.
• Applied AI/ML Knowledge: You understand intimately how to work with Large Language Models (LLMs), embeddings, vector databases, and machine learning deployment principles in enterprise settings.
• Executive-Level Technical Communication: While the Project Lead handles business translation, you must excel at explaining, defending, and aligning complex technical architectures, security postures, and integration requirements to client engineers, CISOs, and IT Directors.
• Systems Thinking and Debugging: You have an elite knack for identifying technical roadblocks early, designing robust architectures that anticipate massive scale, and systematically debugging deeply entrenched issues across distributed systems.

Mindset and Approach:

• Symbiotic Collaborator: You thrive in a "two-in-a-box" model. You rely on your Project Lead to manage stakeholders and scope, while they rely on you to guarantee the technical reality of the solution. You communicate technical risks to them proactively and consistently.
• Builder and Problem Solver: You are intensely hands-on. You don't just design solutions on a whiteboard ; you are eager to dive deep into the data, write complex integration code, and make the platform work seamlessly for the customer.
• Quality and Security Focused: You treat customer data and system integrity with the highest possible level of care, strictly ensuring that every deployment adheres to enterprise-grade security and compliance standards.

*Travel: Ability to travel roughly 25% of the time, sometimes short-notice trips-primarily across North America with occasional international roll-outs-to work directly on-site with clients

What's In It For You

Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity.

For this position, the annual salary ranges by location are:

• Tier 1: $209,000 - $300,000
• Tier 2: $191,000 - $279,000
• Tier 3: $171,000 - $251,000

*Offers will also include bonus + equity

You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living.

Bonuses and equity are included in all offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process.
What It's Like to Work at Invisible:

At Invisible, we're not just redefining work-we're reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what's possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won't just execute tasks-you'll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI.

We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We're not for everyone, and we're okay with that. If you're looking for predictable routines, this isn't the place for you. But if you're driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you'll fit right in.

Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process.

AI Interviewing Guidelines:
Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates.

Accessibility Statement: We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request. Here is the link the google form:

Equal Opportunity Statement: We're an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law.

Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.