Omar Omar

At OpenAI, we are building something that will change the face of technology as we know it. Our mission is to ensure that Artificial General Intelligence (AGI) benefits all of humanity, and we are looking for people who are passionate about that mission. We are looking for software engineers who bring strong technical rigor, humility, and curiosity to their work, people who take joy and pride in solving hard problems.

Experienced Senior Talent Acquisition Sourcer/Recruiter with a strong focus on delivering high-impact sourcing strategies across technical and non-technical domains. At TikTok, I built and scaled high-volume pipelines across the EMEA region, supporting a wide range of teams including Product Design, E-commerce, TikTok LIVE, and DataAILab. This cross-functional exposure sharpened my ability to adapt quickly to different hiring workflows, business priorities, and stakeholder expectations. I partnered closely with TA Business Partners and hiring managers to shape sourcing strategies aligned with fast-evolving talent needs, using platforms like LinkedIn Recruiter, GitHub, Boolean search, X-ray, and internal ATS systems. I created and deployed sourcing playbooks and outreach templates to drive consistency in candidate engagement and strengthen employer brand across diverse markets. A strong advocate for diversity and inclusion, I embedded inclusive sourcing practices, eliminated bias in screening, and supported interview teams with structured evaluation methods. I also led sourcing operations end-to-end, including screening, coordination, market mapping, and regular reporting to influence hiring decisions with real-time pipeline and conversion data. Key Outcomes: • Built pipelines of 400+ candidates per month, with a 45% screen-to-interview rate and 90% offer acceptance • Spearheaded a cold-calling strategy for a 10-person niche sourcing team, improving passive candidate engagement across hard-to-fill roles.

As a Technical Recruiter/Sourcer specialising in Machine Learning, I work closely with cross-functional teams to deliver effective talent acquisition strategies for high-impact Software Engineering roles across Machine Learning, Mobile, and General domains. I utilise a combination of internal ATS systems and external platforms such as LinkedIn Recruiter and GitHub to identify and engage top-tier talent through creative sourcing techniques. I collaborate with Hiring Managers, Recruiting Coordinators, and other key stakeholders to refine pipeline strategies and improve recruitment outcomes. My focus is on top-of-funnel recruitment - screening CVs, engaging passive candidates, and enhancing overall candidate experience.

As a Technical Recruiter/Sourcer specialising in Machine Learning, I work closely with cross-functional teams to deliver effective talent acquisition strategies for high-impact Software Engineering roles across Machine Learning, Mobile, and General domains. I utilise a combination of internal ATS systems and external platforms such as LinkedIn Recruiter and GitHub to identify and engage top-tier talent through creative sourcing techniques. I collaborate with Hiring Managers, Recruiting Coordinators, and other key stakeholders to refine pipeline strategies and improve recruitment outcomes. My focus is on top-of-funnel recruitment - screening CVs, engaging passive candidates, and enhancing overall candidate experience.

At Arup, I focused on sourcing highly specialised Software Engineering talent with dual backgrounds in structural or mechanical engineering and advanced coding—critical for building Arup’s internal finite element analysis (FEA) platform. I identified and engaged candidates across domains like computational mechanics, numerical methods, and scientific software engineering, using tools like LinkedIn Recruiter, GitHub, and internal databases. I worked closely with senior technical leads and hiring managers to refine technical requirements, shape outreach strategies, and ensure alignment between candidate skill sets and project needs. My sourcing directly supported the successful development and release of GSA 10.0, Arup’s in-house structural analysis and design tool. Key Results: • Exceeded Q4 2018–Q1 2019 hiring targets by 135%, scaling a niche software team ahead of schedule • Delivered technically vetted candidates able to contribute from day one on highly complex engineering systems.

Delivered in collaboration with Cambridge Judge Business School (CJBS) and the Department of Engineering, this course integrated core engineering with business modules such as Strategic Management, Corporate Finance, Accounting, Marketing, and Macroeconomics. With emphasis on financial modelling, strategic valuation, and systems thinking, it developed my commercial and analytical acumen to drive innovation and lead change. Training covered lifecycle cost analysis, complex trade-offs, and multi-disciplinary strategies grounded in economic accountability and social responsibility. The programme enhanced my ability to manage ambiguity, navigate stakeholder dynamics, and deliver value in resource-constrained contexts, strengthening my capacity to assess market opportunities, craft strategy, and implement change across complex systems.