JobHire.AI

Customer Support

• Proactively engage users via **chat** and **calls** during onboarding and early usage;
• Reach out to users showing low activity or early churn signals and help them get back on track;
• Act as a **human recovery layer**: understand user frustration, diagnose issues, and rebuild trust through real conversation;
• Help users understand what can be improved to get better results, using clear and empathetic communication;
• Recommend profile, CV, or job search improvements, including relevant paid add-ons (e.g. resume review) when they add real value;
• Share user feedback and recurring patterns with Product to improve the overall customer experience.

Customer Support Agent, PST-EST timezone

Customer Support Agent – PST-EST

Product Manager

• Define the vision, strategy, and roadmap for AI/ML product features (JobHunt Engine).
• Take full ownership of the product lifecycle from hypothesis to scaled impact, focusing on business results, not just model performance.
• Translate business problems into ML hypotheses and solutions.
• Work side-by-side with ML engineers and data scientists to define data requirements, evaluation frameworks (evals, RAG, agents), model monitoring, and delivery processes.
• Design and execute rapid, pragmatic validation cycles.
• Formulate clear hypotheses (Problem → Mechanism → Impact → Metric), choose the right validation method (A/B test, shadow model, phased rollout), and make data-driven go/no-go decisions under uncertainty.
• Apply critical thinking to decompose complex, ambiguous problems.
• Collaborate closely with Engineering, Data Science, and business teams.

Lead Tech AI/ML Product Manager

• Define the vision, strategy, and roadmap for AI/ML product features (JobHunt Engine).
• Take full ownership of the product lifecycle from hypothesis to scaled impact, focusing on business results, not just model performance.
• Translate business problems into ML hypotheses and solutions.
• Collaborate closely with Engineering, Data Science, and business teams.
• Design and execute rapid, pragmatic validation cycles.

Senior Tech Product Manager – AI/ML

• Define the vision, strategy, and roadmap for AI/ML product features (JobHunt Engine).
• Take full ownership of the product lifecycle from hypothesis to scaled impact, focusing on business results, not just model performance.
• Translate business problems into ML hypotheses and solutions.
• Work side-by-side with ML engineers and data scientists to define data requirements, evaluation frameworks (evals, RAG, agents), model monitoring, and delivery processes.
• Design and execute rapid, pragmatic validation cycles.
• Formulate clear hypotheses (Problem → Mechanism → Impact → Metric) and choose the right validation method (A/B test, shadow model, phased rollout).
• Apply critical thinking to decompose complex, ambiguous problems.
• Collaborate closely with Engineering, Data Science, and business teams.
• Communicate complex ML concepts clearly and align stakeholders on goals, trade-offs, and progress.

Senior Tech AI/ML Product Manager – Job Hunt Engine

• Define the vision, strategy, and roadmap for AI/ML product features (JobHunt Engine).
• Take full ownership of the product lifecycle from hypothesis to scaled impact, focusing on business results, not just model performance.
• Translate business problems into ML hypotheses and solutions.
• Work side-by-side with ML engineers and data scientists to define data requirements, evaluation frameworks (evals, RAG, agents), model monitoring, and delivery processes.
• Design and execute rapid, pragmatic validation cycles.
• Apply critical thinking to decompose complex, ambiguous problems.
• Collaborate closely with Engineering, Data Science, and business teams.

• Define the vision, strategy, and roadmap for AI/ML product features (JobHunt Engine).
• Take full ownership of the product lifecycle from hypothesis to scaled impact, focusing on business results, not just model performance.
• Translate business problems into ML hypotheses and solutions.
• Work side-by-side with ML engineers and data scientists to define data requirements, evaluation frameworks (evals, RAG, agents), model monitoring, and delivery processes.
• Design and execute rapid, pragmatic validation cycles.
• Formulate clear hypotheses (Problem → Mechanism → Impact → Metric), choose the right validation method (A/B test, shadow model, phased rollout), and make data-driven go/no-go decisions under uncertainty.
• Apply critical thinking to decompose complex, ambiguous problems.
• Collaborate closely with Engineering, Data Science, and business teams. Communicate complex ML concepts clearly and align stakeholders on goals, trade-offs, and progress.

Customer Support Agent, PST-EST

Customer Support Agent – PST/EST Timezone

Customer Support Agent, PST-EST Timezone

Artificial Intelligence

• Main deliverable: v1 of the continuous performance management system, live across the full team of 38, with a monthly grade refresh and individual dashboards.
• 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.
• 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.
• Design the monthly loop: what runs automatically, what needs a manager's confirmation, and how each person sees their grade and track.
• 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).
• 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.
• Run a pilot on two competencies (for example, Engineering and Product), collect feedback, refine, and roll out to the full team.

Customer Support Agent, PST-EST timezone

Customer Support Agent – PST-EST

Lead Tech AI/ML Product Manager

Senior Tech Product Manager – AI/ML

Senior Tech AI/ML Product Manager – Job Hunt Engine

Senior Tech Product Manager – AI/ML

Senior Tech Product Manager – AI/ML

Customer Support Agent, PST-EST

Customer Support Agent – PST/EST Timezone

Customer Support Agent, PST-EST Timezone

Customer Support Agent – PST/EST Timezone

Customer Support Agent – PST/EST Timezone

Customer Support Agent, PST-EST timezone

Customer Support Agent, PST-EST timezone

Performance Management Expert, AI & Modern Frameworks