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Performance Management Architect (AI & Modern frameworks) project

Jobhire Cyprus • Armenia


No Relocation

Posted: May 17, 2026

Job Description

Performance Management Expert (AI & Modern Frameworks)

Role Type: Project (6 to 10 weeks, around 20 to 30 hours per week)

Location: Remote
Start: ASAP

About Company

 JobHire.ai is building a vertical AI agent that automates job search for professionals. We help thousands of users land interviews by finding, tailoring, and applying to jobs on their behalf — at scale and with precision. We’re profitable, growing fast, and now entering a phase of deep product refinement and organic growth through exceptional UX and perceived value.

📈 ~35% MoM; top 1% in growth rate

💰 Profitable from day one

👥 40 people

🚀 Investors: Deel Ventures, Daniel Gutenberg, Dave Waiser, Margulan Seisembayev, and other unicorn founders.

Mission

 JobHire is a personal AI agent for continuous professional development and happiness at work

Overview

JH helps people find jobs and be happier in their careers. Our goal is to double ARR per employee within 12 months without growing headcount linearly.

In our People & AI strategy, performance management is one of the five key blocks for the next two quarters. Today we have ABC analysis on every person and we measure TDI (talent density index). It works, but it's manual and runs on a quarterly cycle.

We want someone to turn this into continuous performance management: a monthly auto-graded system on three axes (results, skills and AI leverage, teamwork), with a dashboard for every person, a clear track from B to A, and clear boundaries for C players.

The goal is not to build a classic HR process. The goal is a system that works in a tiny team mindset: minimum rituals, maximum automation, AI as an operating layer.

Key Responsibilities

We're not expecting you to be a developer or a vibe coder. You'll have engineering and AI hands on the team to handle the automation. Your job is to design the system and own the outcome, not to ship the code.

Main deliverable: v1 of the continuous performance management system, live across the full team of 38, with a monthly grade refresh and individual dashboards.

Specifically:

  1. Methodology. Finalize the three axes (results / skills and AI leverage / teamwork), their weights, scales, and the thresholds for moving between A, B, and C. Build on our current ABC framework, don't start from scratch.
  2. Signal sources. Map out where the system pulls data for each axis. What gets collected automatically (Notion, Slack, GitHub, analytics, OKR tracking), what comes from managers, what comes from peer reviews. Keep manual input to a minimum.
  3. Monthly cycle. Design the monthly loop: what runs automatically, what needs a manager's confirmation, and how each person sees their grade and track.
  4. Dashboards. For the individual (my grade, my track, what to work on). For the manager (my team, who we're growing, who we're parting with). For C-level (TDI, A-player density by competency, risks).
  5. Tracks for B and C players. Templates for individual plans. B to A with measurable criteria and an ETA. C to A with performance based and time based boundaries. No fuzzy language.
  6. Launch. Run a pilot on two competencies (for example, Engineering and Product), collect feedback, refine, and roll out to the full team.

What we don't want

  • Classic quarterly performance reviews with long forms and self assessment essays.
  • Multi step approval chains.
  • Trainings, retention bonuses, formal 8 level career ladders.
  • Buying and rolling out an off the shelf HR tech platform. For a 40 person team that's overkill.
  • Any process that won't survive in a team of 25 a year from now.
Performance Management Expert (AI & Modern Frameworks)Role Type: Project (6 to 10 weeks, around 20 to 30 hours per week)Location: RemoteStart: ASAPAbout Company JobHire.ai is building a vertical AI agent that...

Who we're looking for

Human fit matters more than a polished resume. At a minimum:

  • You've built performance systems for teams of 30 to 150 people, ideally in product startups at late Seed or Series A stage.
  • You understand the difference between performance management in a traditional company and in a tiny team. If your resume is all Fortune 500, this is probably not the right fit.
  • You're comfortable in data. Excel, SQL, Notion API at a level where you can build prototypes yourself instead of waiting on an analyst.
  • Experience building grading systems, talent review, 9 box or similar is a plus. Experience turning a manual Excel process into a working automated one is a big plus.
  • Working English. Russian is nice to have but not required.

How we work

  • Clear expectations. You get a measurable outcome and a deadline, same as everyone else on the team.
  • Minimum rituals. No status meetings.
  • Direct access to the CEO and HRD throughout the project.
  • Skills first, low ego, high trust.

Process

  1. A short note: 1 or 2 cases closest to our situation. What you built, the outcome, what you'd do differently. 
  2. A call with the HRD (60 minutes) to align on context and expectations.
  3. A test task. We're looking at how you think, not for a final answer. unpaid.
  4. A final call with the CEO+HRD (45 minutes) to go through the test, project plan, and terms.

Additional Content

Performance Management Expert (AI & Modern Frameworks)

Role Type: Project (6 to 10 weeks, around 20 to 30 hours per week)

Location: Remote
Start: ASAP

About Company

 JobHire.ai is building a vertical AI agent that automates job search for professionals. We help thousands of users land interviews by finding, tailoring, and applying to jobs on their behalf — at scale and with precision. We’re profitable, growing fast, and now entering a phase of deep product refinement and organic growth through exceptional UX and perceived value.

📈 ~35% MoM; top 1% in growth rate

💰 Profitable from day one

👥 40 people

🚀 Investors: Deel Ventures, Daniel Gutenberg, Dave Waiser, Margulan Seisembayev, and other unicorn founders.

Mission

 JobHire is a personal AI agent for continuous professional development and happiness at work

Overview

JH helps people find jobs and be happier in their careers. Our goal is to double ARR per employee within 12 months without growing headcount linearly.

In our People & AI strategy, performance management is one of the five key blocks for the next two quarters. Today we have ABC analysis on every person and we measure TDI (talent density index). It works, but it's manual and runs on a quarterly cycle.

We want someone to turn this into continuous performance management: a monthly auto-graded system on three axes (results, skills and AI leverage, teamwork), with a dashboard for every person, a clear track from B to A, and clear boundaries for C players.

The goal is not to build a classic HR process. The goal is a system that works in a tiny team mindset: minimum rituals, maximum automation, AI as an operating layer.

Key Responsibilities

We're not expecting you to be a developer or a vibe coder. You'll have engineering and AI hands on the team to handle the automation. Your job is to design the system and own the outcome, not to ship the code.

Main deliverable: v1 of the continuous performance management system, live across the full team of 38, with a monthly grade refresh and individual dashboards.

Specifically:

  1. Methodology. Finalize the three axes (results / skills and AI leverage / teamwork), their weights, scales, and the thresholds for moving between A, B, and C. Build on our current ABC framework, don't start from scratch.
  2. Signal sources. Map out where the system pulls data for each axis. What gets collected automatically (Notion, Slack, GitHub, analytics, OKR tracking), what comes from managers, what comes from peer reviews. Keep manual input to a minimum.
  3. Monthly cycle. Design the monthly loop: what runs automatically, what needs a manager's confirmation, and how each person sees their grade and track.
  4. Dashboards. For the individual (my grade, my track, what to work on). For the manager (my team, who we're growing, who we're parting with). For C-level (TDI, A-player density by competency, risks).
  5. Tracks for B and C players. Templates for individual plans. B to A with measurable criteria and an ETA. C to A with performance based and time based boundaries. No fuzzy language.
  6. Launch. Run a pilot on two competencies (for example, Engineering and Product), collect feedback, refine, and roll out to the full team.

What we don't want

  • Classic quarterly performance reviews with long forms and self assessment essays.
  • Multi step approval chains.
  • Trainings, retention bonuses, formal 8 level career ladders.
  • Buying and rolling out an off the shelf HR tech platform. For a 40 person team that's overkill.
  • Any process that won't survive in a team of 25 a year from now.
Performance Management Expert (AI & Modern Frameworks)Role Type: Project (6 to 10 weeks, around 20 to 30 hours per week)Location: RemoteStart: ASAPAbout Company JobHire.ai is building a vertical AI agent that...

Who we're looking for

Human fit matters more than a polished resume. At a minimum:

  • You've built performance systems for teams of 30 to 150 people, ideally in product startups at late Seed or Series A stage.
  • You understand the difference between performance management in a traditional company and in a tiny team. If your resume is all Fortune 500, this is probably not the right fit.
  • You're comfortable in data. Excel, SQL, Notion API at a level where you can build prototypes yourself instead of waiting on an analyst.
  • Experience building grading systems, talent review, 9 box or similar is a plus. Experience turning a manual Excel process into a working automated one is a big plus.
  • Working English. Russian is nice to have but not required.

How we work

  • Clear expectations. You get a measurable outcome and a deadline, same as everyone else on the team.
  • Minimum rituals. No status meetings.
  • Direct access to the CEO and HRD throughout the project.
  • Skills first, low ego, high trust.

Process

  1. A short note: 1 or 2 cases closest to our situation. What you built, the outcome, what you'd do differently. 
  2. A call with the HRD (60 minutes) to align on context and expectations.
  3. A test task. We're looking at how you think, not for a final answer. unpaid.
  4. A final call with the CEO+HRD (45 minutes) to go through the test, project plan, and terms.