AI Product Engineer (AU, Construction, Hybrid)

ConnectOS; Mandaluyong; Hybride; PHP 700 000 - 1 100 000; Plein temps

Avantages offerts par ce poste

Hybrid Work

Medical Insurance

Dental Coverage

Life Insurance

Paid Vacation

Sick Leave

Annual Appraisal

Financial Assistance

13th Month Pay

Office Wellness

Career Growth

Résumé du poste

ConnectOS is seeking an AI Product Analyst to advance an AI-powered customer response system that automates quote generation for equipment enquiries. You will blend data engineering, experimentation, and AI/LLM skills to improve availability, pricing, and customer context, working closely with business stakeholders.

The role is hands-on, requiring curiosity, pragmatic thinking, and comfort operating in ambiguity, with a hybrid schedule (3x onsite per week) in Metro Manila.

Qualifications

• SQL, Python, and ML concepts with hands-on experimentation.

Responsabilités

• Build and maintain data layer consolidating data from multiple sources.
• Translate business rules into algorithms and evolve with ML.
• Design and run A/B tests to validate hypotheses and iterate.
• Connect data sources and logic to Power Platform and Copilot Studio.
• Improve AI/LLM outputs through prompts and grounding.
• Maintain disciplined plans, notes, and stakeholder updates.
• Collaborate with business stakeholders to translate needs into experiments.

Connaissances

SQL

Python

ML concepts

LLM concepts

Data pipelines

Experiment design

Power Platform

Copilot Studio

Stakeholder comms

Problem decomposition

Outils

Microsoft Fabric

Azure Synapse

Databricks

ClickHouse

Power Apps

Power Automate

Copilot Studio

Description du poste

Schedule: Monday to Friday (7AM - 4PM | 6AM - 3PM PHT)

Hybrid: 3x per week onsite

What are we looking for?

We are seeking an AI Product Analyst to drive the next iteration of an AI-powered customer response system. The system automates quote generation for equipment enquiries, and we need someone who can improve its intelligence over time - making it smarter about availability, pricing, and customer context.

It is a hands-on role that blends data engineering, experimentation, and AI/LLM skills. You will work closely with business stakeholders, run iterative experiments, and continuously refine the system based on feedback and data. The ideal candidate is curious, pragmatic, structured in their thinking, and comfortable operating in ambiguity.

What we are looking for?

• Systems thinking and structured execution- ability to see how pieces connect, decompose problems into chunks, and maintain disciplined ways of working (plans, notes, status updates, stakeholder alignment)
• Experience with data platforms such as Microsoft Fabric, Azure Synapse, Databricks, or ClickHouse - ability to pull, transform, and consolidate data from multiple sources
• Proficiency in SQL and at least one programming language (Python preferred)
• Foundational experience with machine learning (prediction, classification) - you will apply this as the system matures beyond rules-based logic
• Familiarity with Microsoft Power Platform (Power Apps, Power Automate) and ideally Copilot Studio
• Understanding of AI/LLM concepts: system prompts, context engineering, grounding, and prompt design
• Experience designing and running experiments (A/B testing, hypothesis validation, iterative improvement)
• Strong communication skills - ability to work directly with business stakeholders and translate technical concepts

Nice to Have:

• Comfortable working autonomously in an ambiguous, fast-moving environment
• Background in equipment hire, rental, logistics, or similar operational domains
• Familiarity with pricing optimization or revenue management concepts
• Experience working with Australian clients or in Australian time zones

What will you do?

• Build and maintain a flexible data layer:Consolidate data from multiple backend systems into a unified view using tools like Microsoft Fabric or ClickHouse. Create flag tables and calculated fields that enable rapid rule changes without developer dependency.
• Implement and refine business logic:Translate business rules (such as equipment availability, status flags, date calculations, and pricing logic) into working algorithms. Start with rules-based approaches, then progressively add sophistication through machine learning and predictive models as the system matures.
• Run experiments and measure impact:Design and execute A/B tests to validate hypotheses around availability rules, pricing strategies, and response quality. Track metrics, analyse results, and iterate based on evidence.
• Work within Power Platform and Copilot Studio:Connect data sources and business logic to existing AI tools built on Microsoft Power Platform. Understand how to configure and extend Copilot Studio solutions.
• Improve AI/LLM outputs:Apply context engineering and prompt design to improve the quality of AI-generated responses. Understand system prompts, grounding, and how to tune LLM behaviour for business outcomes.
• Maintain structured ways of working:Decompose complex problems into manageable chunks. Maintain clear documentation of plans, experiment notes, status updates, and evolving thinking. Follow a disciplined rhythm of plan → do → learn → next. Keep stakeholders aligned through regular communication - no surprises.
• Partner with business stakeholders:Participate in fortnightly check-ins with operational teams. Gather feedback, explain trade-offs, and translate business needs into technical experiments. Communicate progress clearly and build trust through delivery.

Join the awesome team and enjoy these benefits & perks:

• Hybrid Work Arrangement
• Medical, Dental Coverage and Life insurance from day 1 of employment
• Paid Vacation and Sick Leave (with Quarterly Sick Leave Conversion)
• Competitive salary package and annual appraisal
• Financial Assistance Program
• Mandatory Government Benefits and 13th Month Pay
• Complimentary Sleeping Quarters, Coffee at no cost
• Complimentary Office Fitness and Wellness Facilities at no cost
• Regular Company Events, Work Life Balance, and Career growth opportunities
• Accessible location at the heart of Metro Manila --- the Mega Tower, EDSA

#ConnectOSCareers #JoinConnectOS

Equal Employment Statement
Employment decisions at ConnectOS will be conducted without consideration of factors such as age', race, color, religion, gender, disability status, sexual orientation, gender identity or expression, genetic information, and marital status. ConnectOS ensures the full confidentiality of the data it processes.