Head of Technology

About MeeBoss

MeeBoss is a high-impact, agile team reimagining the recruitment landscape by restoring human connection to the earliest stages of hiring. Our platform integrates sophisticated job-matching with direct, real-time communication, empowering organizations to identify and engage top-tier talent with greater speed and cost-efficiency. By bridging the gap between personalized matching and immediate interaction, we enable both employers and seekers to evaluate fit and accelerate hiring outcomes with confidence.

As a rapidly scaling startup, MeeBoss is transforming how companies and candidates connect online. Our mission is to modernize recruitment through a seamless, tech-forward experience that facilitates direct engagement with job-ready individuals. By leveraging intelligent matching and innovative technology, we help businesses attract and hire exceptional talent more effectively, delivering a differentiated and highly personalized experience across the entire hiring lifecycle.

About the Role

We are looking for a Head of Technology to lead MeeBoss’s Engineering and Algorithm teams and shape the technical foundation for our next stage of growth.

This role is particularly focused on search, recommendation, ranking, matching, and personalization. We are looking for a technical leader with strong experience in search, recommendation, or advertising systems who can connect algorithms, engineering, product experience, and business outcomes.

You will work closely with Product, Data, Design, and business teams to turn product ideas and user behavior into scalable technical solutions. As MeeBoss grows, this role has the potential to expand into broader ownership of the company’s overall technology strategy and organization.

What You’ll Do

Lead Algorithm & AI Capabilities

• Set the direction for MeeBoss’s matching, recommendation, ranking, search, and personalization capabilities.
• Improve how candidates, jobs, and employers are understood, matched, ranked, and surfaced.
• Connect algorithm development with user behavior, product metrics, and business outcomes.
• Establish effective metrics and experimentation frameworks to evaluate algorithm performance.
• Guide the integration of ML, LLMs, embeddings, and other AI technologies where they create meaningful product value.

Build & Lead the Technology Team

• Build, lead, and develop our Engineering and Algorithm teams.
• Recruit strong engineers, algorithm specialists, and technical leaders as the company scales.
• Set clear priorities, ownership, and expectations across technical teams.
• Mentor technical talent and build a culture of ownership, speed, quality, and continuous improvement.

Drive Cross-Functional Collaboration

• Partner closely with Product, Data, Design, Operations, and business teams to translate product and business needs into technical solutions.
• Bring technical and algorithmic perspectives into product strategy, planning, and prioritization.
• Establish clear ownership, priorities, requirements, and dependencies across teams.
• Work through ambiguity and changing priorities while keeping teams aligned on shared goals.
• Identify cross-functional issues early, bring the right stakeholders together, and drive decisions toward execution.
• Communicate technical opportunities, constraints, and tradeoffs clearly to both technical and non-technical stakeholders.

Drive Technology & Execution

• Provide technical leadership across backend systems, APIs, data infrastructure, architecture, and scalable application development.
• Ensure algorithm and AI capabilities are effectively integrated into production systems.
• Make practical tradeoffs across speed, scalability, technical quality, and business priorities.
• Identify technical risks and dependencies early and drive them toward resolution.
• Help new products and technical capabilities move effectively from 0→1 to production.

What We’re Looking For

• 8–10+ years of experience in algorithms, machine learning, search, recommendation, advertising, or related technical areas.
• Strong experience with search, recommendation, ranking, advertising algorithms, matching, or personalization systems.
• Proven experience building and operating algorithmic or ML systems in production.
• Strong understanding of backend systems, APIs, databases, data infrastructure, system architecture, and cloud environments.
• Experience leading Engineering, Algorithm, ML, or multidisciplinary technical teams.
• Experience building products, systems, or technical capabilities from 0→1.
• Strong product sense and ability to connect technical decisions with user behavior and business outcomes.
• Demonstrated ability to recruit, mentor, and develop strong technical talent.
• Strong cross-functional leadership and communication skills, with the ability to create alignment across technical and non-technical teams.
• Comfortable operating in a fast-moving startup environment with ambiguity and evolving priorities.

Nice to Have

• Experience building large-scale search, recommendation, or advertising systems.
• Experience with marketplace or two-sided platform products.
• Experience with LLMs, NLP, embeddings, deep learning, or modern recommendation architectures.
• Experience with experimentation and A/B testing for ranking or recommendation systems.
• Experience in recruiting, HR tech, search, social, advertising, e-commerce, or other matching-intensive products.
• Experience leading both algorithm/ML and software engineering teams.

What Success Looks Like

• Build a strong Engineering and Algorithm organization as MeeBoss scales.
• Strengthen matching, recommendation, ranking, search, and AI as core product capabilities.
• Translate algorithm improvements into measurable improvements in relevance, engagement, and business outcomes.
• Build scalable technical foundations that support continued product and user growth.
• Move new products and technical capabilities effectively from 0→1 into production.
• Create clear ownership and strong collaboration across Engineering, Algorithm, Product, Data, and business teams.
• Grow into broader ownership of MeeBoss’s technology strategy and technical organization over time.