Senior Engineering Manager

Austin, Texas - Hybrid;
New York - Hybrid;
San Francisco Bay Area - Hybrid;
Washington DC–Baltimore - Hybrid

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.

As a Senior Engineering Manager you’ll lead a team of Software Engineers, and collaborate closely with Product Managers and Designers. You’ll be responsible for the overall impact of the team, ensuring that they’re effectively implementing high quality, highly impactful software.

• Be both highly technical and an effective people manager
• Lead a team that deliver a stable, effective, and usable platform
• Work with your team and cross functional partners to define and influence strategy
• Lead and mentor a team of skilled Software Engineers while fostering a collaborative environment with Product Managers and Designers
• Drive the team's delivery of high-quality, impactful software solutions
• Take charge of the team's overall performance, ensuring strategic project goals are met with technical excellence
• Manage the goals and development plans of individual team members to ensure that they’re learning and growing

• 8+ years of software engineering work experience, including significant time spent building data, ML, or backend systems
• 2+ years of engineering management experience in a high-growth environment
• Experience building and productizing data platforms
• Experience working with GCP
• Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments

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:

$212,000 - $311,000 USD

$194,000 - $284,000 USD

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 offers above entry level. 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, 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.