Head of Performance at Invisible Technologies
Oregon, Oregon, USA -
Full Time


Start Date

Immediate

Expiry Date

04 Dec, 25

Salary

257000.0

Posted On

04 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Human Resources/HR

Description

ABOUT INVISIBLE

Invisible Technologies is the AI operating system for the enterprise. Our end-to-end AI Software Platform structures messy data, builds digital workflows, deploys agentic solutions, evaluates/measures impact, and mobilizes relevant human experts. Invisible has trained foundation models for more than 80% of the world’s leading AI model providers, including Cohere, Microsoft, and AWS, and we have the expertise to customize AI for any industry, function, or use case.
Invisible makes AI work in the real world. In 2024, we reached $134M in revenue and were named the #2 fastest growing AI company on the Inc. 5000.

WHAT WE NEED

We’re looking for a proven leader who has built and managed performance management systems in high-talent-density environments where expectations are high. The ideal candidate brings a strong foundation in industrial-organizational psychology, organizational design, or data-driven performance analytics, and has demonstrated the ability to create frameworks, tools, and programs from the ground up. They combine sharp analytical and problem-solving skills with the ability to connect hiring, coaching, and performance data into actionable insights.

Candidates who have led Performance Ops functions, scaled people analytics programs, designed organizations with a strong data lens, or applied IO psychology to tech-enabled performance systems will be especially well suited. Familiarity with AI and modern data analytics tools is a plus.

  • Hybrid Skillset: Equal comfort designing human systems and architecting data models.
  • People Science Fluency: Deep understanding of IO psychology principles (validity, reliability, bias mitigation). Formal degree not required if experience demonstrates mastery.
  • Data & Product Mindset: Able to design a performance “stack” like a product manager — from requirements gathering to launch and iteration.
  • Cross-Functional Leadership: Proven ability to partner with Engineering, People Ops, and Business Leadership.
  • Bias for Action: Translates insights into operational changes, not just reports.

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.

Responsibilities

ABOUT THE ROLE

The best organizations don’t just hire great people — they build environments where greatness compounds. As Head of Performance, you’ll design and operationalize a system where clarity, coaching, and growth are continuous. This is not a compliance role, it’s a product-building role for human performance.
Your mandate: architect the systems, data, and culture that align individual slope with company velocity.

We’ve moved beyond static annual reviews and vague competency models. Our performance system will be:

  • Continuous — feedback loops embedded in daily work.
  • Data-rich — measurable, comparable, and predictive.
  • Human — enabling managers and individuals to make better decisions about growth.

You’ll lead the creation of both the human systems (feedback, coaching, cultural reinforcement) and the technical systems (data model, analytics, predictive insights) that make this possible.

WHAT YOU’LL DO

  • Design and Implement a Performance Operating System: Replace static annual reviews with clarity engines (e.g., monthly “Greenlight” conversations, narrative-driven reviews, track-based calibration) and architect growth tracks for Technical Depth, People Leadership, and Cross-Functional Influence.
  • Build and Manage the Data Layer for Performance: Partner with or build a team of data scientists and analysts to integrate data from systems like 15Five, ATS, hiring rubrics, project tools, and coaching logs. Develop the performance data model (slope, clarity, manager impact, retention signals, velocity) and create dashboards, automated manager prompts, and predictive models to identify high-potential talent or early risk indicators.
  • Enable and Equip Managers: Train managers to recognize inflection points early, coach effectively, and deliver precise, frequent feedback. Provide managers with real-time performance insights that inform proactive decisions, not just retroactive ratings.
  • Foster a Feedback Culture: Develop and roll out coaching, training, and feedback programs that embed continuous learning and improvement into the fabric of the organization.
  • Lead and Collaborate: Build and lead a small, high-performing team (initially two direct reports) while collaborating closely with business partners to connect performance insights with talent decisions and workforce planning.
  • Balance Data and Human Elements: Ensure performance systems are not only data-driven and measurable but also human, actionable, and adopted across teams.

Examples of Strategic Outcomes You’ll Drive

  • Reduce time from performance signal intervention by 50%.
  • Increase % of employees who can articulate “what great looks like” in their role to 90%+.
  • Tie hiring rubric scores to actual performance trajectory within 6 months of hire.
  • Deliver manager coaching prompts monthly based on aggregated team data.Reduce bias in performance assessment through multi-source, auto trigger input, multi-method inputs.
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