Client Engineering Lead

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 worlds 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.

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 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.

• 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 clients 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 liaisonand escalation pointbetween 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.

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 dont 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 tripsprimarily across North America with occasional international roll-outsto work directly on-site with clients

*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.

At Invisible were not just redefining workwere reinventing it. We operate at the intersection of advanced AI and human ingenuity pushing the boundaries of whats possible to unlock productivity and scale. Ownership is at the core of everything we do. Here you wont just execute tasksyoull 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. Were not for everyone and were okay with that. If youre looking for predictable routines this isnt the place for you. But if youre driven to create thrive in dynamic environments and want a front-row seat to the AI revolution youll 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 weve 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: Opportunity Statement:
Were 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.